Social support, exposure to violence and transphobia, and correlates of depression among male-to-female transgender women with a history of sex work

Objectives. We determined racial/ethnic differences in social support and exposure to violence and transphobia, and explored correlates of depression among male-to-female transgender women with a history of sex work (THSW).Methods. A total of 573 THSW who worked or resided in San Francisco or Oakland, California, were recruited through street outreach and referrals and completed individual interviews using a structured questionnaire.Results. More than half of Latina and White participants were depressed on the basis of Center For Epidemiologic Studies Depression Scale scores. About three quarters of White participants reported ever having suicidal ideation, of whom 64% reported suicide attempts. Half of the participants reported being physically assaulted, and 38% reported being raped or sexually assaulted before age 18 years. White and African American participants reported transphobia experiences more frequently than did others. Social support, transphobia, suicidal ideation, and levels of income and education were significantly and independently correlated with depression.Conclusions. For THSW, psychological vulnerability must be addressed in counseling, support groups, and health promotion programs specifically tailored to race/ethnicity.The term “transgender” has been used as an umbrella term, capturing people who do not conform with a binary male–female gender category.¹ In this study, we use the term “transgender women” or “male-to-female transgender women” to describe individuals who were born biologically male but self-identify as women and desire to live as women.² Although transgender persons or those who identify their gender other than male or female have been historically reported in many cultures around the world, their social roles, status, and acceptance have varied across time and place.³ In the United States, as part of the gay rights movement in the 1970s, a transgender civil rights movement emerged to advocate for transgender people''s equal rights and to eradicate discrimination and harassment in their daily lives.⁴ However, transphobia—institutional, societal, and individual-level discrimination against transgender persons—is still pervasive in the United States and elsewhere. It often takes the form of laws, regulations, violence (physical, sexual, and verbal), harassment, prejudices, and negative attitudes directed against transgender persons.^5–7Studies have reported that transgender persons lack access to gender-sensitive health care^6,8,9 and often experience transphobia in health care and treatment.^5,9 Transgender persons are frequently exposed to violence, sexual assault, and harassment in everyday life, mainly because of transphobia.^5–7,9–11 Physical and sexual assaults and violence, and verbal and nonphysical harassment, derive from various perpetrators (e.g., strangers, acquaintances, partners, family members, and police officers). Transgender persons suffer from assaults, rape, and harassment at an early age, and these experiences persist throughout life.¹ A number of studies have examined violence and harassment against sexual minorities, although these have mainly focused on gay men.^12–15 A limited literature has described the prevalence of violence, transphobia, and health disparities among transgender persons.^7–9Psychological indicators such as depression and suicidal ideation and attempts have been reported among transgender persons.^{5,6,10,16–18} Transgender women of color, such as African Americans, Latinas, and Asians/Pacific Islanders (APIs), are at high risk for adverse health outcomes because of racial/ethnic minority status and gender identity,⁶ as well as for depression through exposure to transphobia.¹⁹ Although transgender persons have reported relatively high rates of using basic health care services,²⁰gender-appropriate mental health services are needed,⁵ particularly among African Americans.²¹ A lack of social support, specifically from the biological family, is commonly reported among transgender persons and is associated with discomfort and lack of security and safety in public settings.²² Sparse research exists on social support among transgender persons, although such support could ameliorate adverse psychological consequences associated with transphobia and also mitigate racial discrimination for transgender persons of color.Because of relatively high rates of unemployment, lack of career training and education, and discrimination in employment, many transgender women engage in sex work for survival.^23,24 Sex work is linked to high-risk situations, including substance abuse, unsafe sex, and sexual and physical abuse.²⁵ Physical abuse, social isolation, and the social stigma associated with sex work exacerbate transgender women''s vulnerability to mental illness and HIV risk.^5,17 High HIV seroprevalence rates among transgender women have been reported,^5,20,26–28 particularly among racial/ethnic minorities,⁵ substance users,²⁷ and sex workers.^{20,24,25,29–31} Transgender women of color face multiple adversities, such as racial and gender discrimination; transphobia; economic challenges including unemployment, substance abuse, HIV and other sexually transmitted infections; and mental illness. However, few studies have investigated racial/ethnic differences in psychological status among transgender women of color in relation to social support and exposure to transphobia.To develop culturally appropriate and transgender specific mental health promotion programs, we describe the prevalence of violence, transphobia, and social support in relation to racial/ethnic background among transgender women with a history of sex work (THSW). We also investigated the role of social support and exposure to transphobia on participants’ levels of depression.     

The association between perceived discrimination and obesity in a population-based multiracial and multiethnic adult sample

Objectives. We examined whether perceived chronic discrimination was related to excess body fat accumulation in a random, multiethnic, population-based sample of US adults.Methods. We used multivariate multinomial logistic regression and logistic regression analyses to examine the relationship between interpersonal experiences of perceived chronic discrimination and body mass index and high-risk waist circumference.Results. Consistent with other studies, our analyses showed that perceived unfair treatment was associated with increased abdominal obesity. Compared with Irish, Jewish, Polish, and Italian Whites who did not experience perceived chronic discrimination, Irish, Jewish, Polish, and Italian Whites who perceived chronic discrimination were 2 to 6 times more likely to have a high-risk waist circumference. No significant relationship between perceived discrimination and the obesity measures was found among the other Whites, Blacks, or Hispanics.Conclusions. These findings are not completely unsupported. White ethnic groups including Polish, Italians, Jews, and Irish have historically been discriminated against in the United States, and other recent research suggests that they experience higher levels of perceived discrimination than do other Whites and that these experiences adversely affect their health.It is estimated that 2 of every 3 adults in the United States are overweight or obese.^1,2 Obesity is a major risk factor for chronic health conditions, such as type 2 diabetes, coronary heart disease, hypertension, stroke, some forms of cancer, and osteoarthritis.³ Although it is widely accepted that high-fat diets and physical inactivity are preventable risk factors,⁴ obesity continues to increase.^1,2,5There is a growing interest in the relationship between psychosocial risk factors and excess body fat accumulation.^6–16 In particular, some evidence suggests that psychosocial stressors may play a role in disease progression in general and in excess body fat in particular.^7,8,17 The key factors underlying physiological reactions to psychosocial stress have not been completely elucidated, but McEwen and Seeman¹⁷ and others^7,18,19 posit that the continued adaptation of the physiological system to external challenges alters the normal physiological stress reaction pathways and that these changes are related to adverse health outcomes.^8,17,18,20 For example, in examining the association between psychosocial stress and excess body fat accumulation, Björntorp and others have suggested that psychosocial stress is linked to obesity, especially in the abdominal area.^7,8Perceived discrimination, as a psychosocial stressor, is now receiving increased attention in the empirical health literature.^21–24 Such studies suggest perceived discrimination is inversely related to poor mental and physical health outcomes and risk factors, including hypertension,^24,25 depressive symptoms,^26–28 smoking,^29–31 alcohol drinking,^32,33 low birthweight,^34,35 and cardiovascular outcomes.^36–38Internalized racism, the acceptance of negative stereotypes by the stigmatized group,³⁹ has also been recognized as a race-related psychosocial risk factor.⁴⁰ Recent studies have also suggested that race-related beliefs and experiences including perceived discrimination might be potentially related to excess body fat accumulation. Three of these studies^9,13,41 showed that internalized racism was associated with an increased likelihood of overweight or abdominal obesity among Black Caribbean women in Dominica⁴¹ and Barbados¹³ and adolescent girls in Barbados.⁹ These researchers posit that individuals with relatively high levels of internalized racism have adopted a defeatist mindset, which is believed to be related to the physiological pathway associated with excess body fat accumulation. However, Vines et al.¹⁶ found that perceived racism was associated with lower waist-to-hip ratios among Black women in the United States. Although the assessment of race-related risk factors varied across these studies, the findings suggest that the salience of race-related beliefs and experiences may be related to excess body fat accumulation.Collectively, the results of these studies are limited. First, because they examined the relationship between race-related beliefs and experiences and excess body fat only among women, we do not know if this relationship is generalizable to men.^13,16,41 Second, these studies only examined this relationship among Blacks, even though perceived unfair treatment because of race/ethnicity has been shown to be adversely related to the health of multiple racial/ethnic population groups in the United States^42–49 and internationally.^27,50–55 Third, none of the studies have examined the relationship between excess body fat accumulation and perceived nonracial/nonethnic experiences of interpersonal discrimination. Some evidence suggests that the generic perception of unfair treatment or bias is adversely related to health, regardless of whether it is attributed to race, ethnicity, or some other reason.^45,55,56 Fourth, none of these studies included other measures of stress. We do not know if the association between race-related risk factors and obesity is independent of other traditional indicators of stress.Using a multiethnic, population-based sample of adults, we examined the association of perceived discrimination and obesity independent of other known risk factors for obesity, including stressful major life events. Additionally, because reports of perceived racial/ethnic discrimination and non-racial/ethnic discrimination vary by racial/ethnic groups^24,45,46,57 and because Whites tend to have less excess body fat than do Blacks and Hispanics,^1,3 we examined the relationships between perceived discrimination and excess body fat accumulation among Hispanics, non-Hispanic Whites, and non-Hispanic Blacks.     

Reinforcement of smoking and drinking: tobacco marketing strategies linked with alcohol in the United States

Objectives. We investigated tobacco companies’ knowledge about concurrent use of tobacco and alcohol, their marketing strategies linking cigarettes with alcohol, and the benefits tobacco companies sought from these marketing activities.Methods. We performed systematic searches on previously secret tobacco industry documents, and we summarized the themes and contexts of relevant search results.Results. Tobacco company research confirmed the association between tobacco use and alcohol use. Tobacco companies explored promotional strategies linking cigarettes and alcohol, such as jointly sponsoring special events with alcohol companies to lower the cost of sponsorships, increase consumer appeal, reinforce brand identity, and generate increased cigarette sales. They also pursued promotions that tied cigarette sales to alcohol purchases, and cigarette promotional events frequently featured alcohol discounts or encouraged alcohol use.Conclusions. Tobacco companies’ numerous marketing strategies linking cigarettes with alcohol may have reinforced the use of both substances. Because using tobacco and alcohol together makes it harder to quit smoking, policies prohibiting tobacco sales and promotion in establishments where alcohol is served and sold might mitigate this effect. Smoking cessation programs should address the effect that alcohol consumption has on tobacco use.Smoking remains the leading preventable cause of premature mortality in the United States, accounting for more than 440 000 deaths annually.¹ Alcohol consumption is the third-leading cause of mortality in the nation.² Each year, approximately 79 000 deaths are attributable to excessive alcohol use.³ The concurrent use of cigarettes and alcohol further increases risks for certain cancers, such as cancer of the mouth, throat, and esophagus.^4,5 In addition, the use of both tobacco and alcohol makes it more difficult to quit either substance.⁶Smoking and drinking are strongly associated behaviors.^7–13 Smokers are more likely to drink alcohol,¹¹ drink more frequently,^8,11 consume a higher quantity of alcohol,^8,11,14 and demonstrate binge drinking (5 or more drinks per episode) than are nonsmokers.^9,11,12 Alcohol drinkers, especially binge drinkers, are also more likely to smoke^7,8,10 and are more likely to smoke half a pack of cigarettes or more per day.¹⁰The association between tobacco use and alcohol use becomes stronger with the heavier use of either substance.^8,15,16 Alcohol consumption increases the desire to smoke,^17,18 and nicotine consumption increases alcohol consumption.¹⁹ Experimental studies have demonstrated that nicotine and alcohol enhance each other''s rewarding effects.^16,18 Alcohol increases the positive subjective effects of smoking,^8,15,16,20 and smoking while using alcohol is more reinforcing than is smoking without concurrent alcohol use.⁸ Smokers smoke more cigarettes while drinking alcohol,^8,15,18 especially during binge-drinking episodes.^8,15 This behavior has also been observed among nondaily smokers^8,15 and light smokers.¹⁷The concurrent use of alcohol and tobacco is common among young adults,^8,10,12,21 including nondaily smokers,^19,22–24 nondependent smokers,⁸ and novice smokers.¹³ Young adult smokers have reported that alcohol increases their enjoyment of and desire for cigarettes^8,25 and that tobacco enhances the effect of alcohol: it “brings on the buzz” or “gave you a double buzz.”^13,23,26 Young adult nondaily smokers described the pairing of alcohol and cigarettes as resembling “milk and cookies” or “peanut butter with jelly.”²⁴ Young adults have also been the focus of aggressive tobacco promotional efforts in places where alcohol is consumed, such as bars and nightclubs.^27,28Consumer products often fall into cohesive groups (sometimes referred to as “Diderot unities”) that may reinforce certain patterns of consumption,²⁹ and these groupings may be influenced by marketing activities. In the case of tobacco and alcohol, these product links may have been further enhanced by cooperation between tobacco and alcohol companies (e.g., cosponsorship) or corporate ownership of both tobacco and alcohol companies (e.g., Philip Morris''s past ownership of Miller Brewing Company).We used tobacco industry documents to explore tobacco companies’ knowledge regarding linked tobacco and alcohol use and the companies’ marketing strategies that linked cigarettes with alcohol. We were interested in 3 basic issues: (1) what tobacco companies knew about the association between drinking and smoking, especially about smokers’ drinking behaviors, (2) how tobacco and alcohol companies developed cross promotions featuring cigarettes and alcohol, and (3) how tobacco companies linked cigarettes with alcohol in their marketing activities and the benefits they expected to gain from those activities.     

Life-Course Socioeconomic Position and Incidence of Diabetes Mellitus Among Blacks and Whites: The Alameda County Study, 1965�C1999

Objectives. We examined associations between several life-course socioeconomic position (SEP) measures (childhood SEP, education, income, occupation) and diabetes incidence from 1965 to 1999 in a sample of 5422 diabetes-free Black and White participants in the Alameda County Study.Methods. Race-specific Cox proportional hazard models estimated diabetes risk associated with each SEP measure. Demographic confounders (age, gender, marital status) and potential pathway components (physical inactivity, body composition, smoking, alcohol consumption, hypertension, depression, access to health care) were included as covariates.Results. Diabetes incidence was twice as high for Blacks as for Whites. Diabetes risk factors independently increased risk, but effect sizes were greater among Whites. Low childhood SEP elevated risk for both racial groups. Protective effects were suggested for low education and blue-collar occupation among Blacks, but these factors increased risk for Whites. Income was protective for Whites but not Blacks. Covariate adjustment had negligible effects on associations between each SEP measure and diabetes incidence for both racial groups.Conclusions. These findings suggest an important role for life-course SEP measures in determining risk of diabetes, regardless of race and after adjustment for factors that may confound or mediate these associations.Diabetes mellitus is a major cause of morbidity and mortality in the United States.^1,2 Type 2 diabetes disproportionately affects Hispanics, as well as non-Hispanic Black Americans, American Indians/Alaska Natives, and some Asian/Pacific Islander groups. In the United States, members of racial and ethnic minority groups are almost twice as likely to develop or have type 2 diabetes than are non-Hispanic Whites.^2–5 Significant racial and ethnic differences also exist in the rates of diabetes-related preventive services, quality of care, and disease outcomes.^6–10Researchers have attempted to determine why, relative to Whites, members of racial and ethnic minority groups are disproportionately affected by diabetes. For example, compared with White Americans, Black Americans are presumed to have stronger genetic^5,11 or physiological^11–13 susceptibility to diabetes, or greater frequency or intensity of known diabetes risk factors, such as obesity, physical inactivity, and hypertension.^14–17Black Americans also are more likely than are White Americans to occupy lower socioeconomic positions.¹⁸ Low socioeconomic position (SEP) across the life course is known to influence the prevalence^19–24 and incidence^3,19,25–30 of type 2 diabetes. The risk of diabetes also is greater for people who are obese,^3,17,31 physically inactive,^3,32 or have hypertension,^33,34 all of which are conditions more common among people with lower SEP.^16,35–37Several studies have focused on the extent to which socioeconomic factors, body composition (i.e., weight, height, body mass index, and waist circumference), and behaviors explain the excess risk of diabetes attributed to race.^4,12,19,30 For example, 2 separate studies, one with data from the Health and Retirement Study¹⁹ and the other with data from the Atherosclerosis Risk in Communities Study,³⁰ used race to predict diabetes incidence. Attempting to separate the direct and indirect effects of race on diabetes,³⁸ these studies assessed, via statistical adjustment, which socioeconomic measures and diabetes-related risk factors, when adjusted, could account for the excess risk among Black participants relative to White participants.^19,30 Adjustment for education lessened the effect of Black race on diabetes incidence in the Atherosclerosis Risk in Communities Study.³⁰ In the Health and Retirement Study, excess risk attributed to Black race was not explained by early-life socioeconomic disadvantage, but it was reduced after adjustment for education and later-life economic resources.¹⁹ The validity of this analytic approach has been challenged, however, because the socioeconomic measures used were assumed to have the same meaning across all racial/ethnic groups, a questionable assumption³⁸ in the United States, especially in 1965.We sought to explore the predictive effects of several life-course socioeconomic factors on the incidence of diabetes among both Black and White Americans. We examined demographic confounders (age, gender, marital status) and diabetes risk factors (obesity, large waist circumference, physical inactivity, high blood pressure, depression, access to health care) as possible mediators of the observed associations between SEP and incident diabetes (i.e., the development of new cases of diabetes over time).     

Health Among Caregivers of Children With Health Problems: Findings From a Canadian Population-Based Study

Objectives. We used population-based data to evaluate whether caring for a child with health problems had implications for caregiver health after we controlled for relevant covariates.Methods. We used data on 9401 children and their caregivers from a population-based Canadian study. We performed analyses to compare 3633 healthy children with 2485 children with health problems. Caregiver health outcomes included chronic conditions, activity limitations, self-reported general health, depressive symptoms, social support, family functioning, and marital satisfaction. Covariates included family (single-parent status, number of children, income adequacy), caregiver (gender, age, education, smoking status, biological relationship to child), and child (age, gender) characteristics.Results. Logistic regression showed that caregivers of children with health problems had more than twice the odds of reporting chronic conditions, activity limitations, and elevated depressive symptoms, and had greater odds of reporting poorer general health than did caregivers of healthy children.Conclusions. Caregivers of children with health problems had substantially greater odds of health problems than did caregivers of healthy children. The findings are consistent with the movement toward family-centered services recognizing the link between caregivers'' health and health of the children for whom they care.Caring for a child with health problems can entail greater than average time demands,^1,2 medical costs,^3,4 employment constraints,^5,6 and childcare challenges.^6–8 These demands may affect the health of caregivers, a notion supported by a variety of small-scale observational studies that have shown increased levels of stress, distress, emotional problems, and depression among caregivers of children with health problems.^1,2,5,9–12Whether these problems are caused by the additional demands of caring for children with health problems or by confounding variables is difficult to answer definitively. The literature reports the identification of a variety of factors purported to be associated with caregiver health, including contextual factors such as socioeconomic status^13–17; child factors such as level of disability,^{1,11,13,18–21} presence of behavior problems,^22–25 and overall child adjustment²⁶; and caregiver-related characteristics such as coping strategies^11,22,27 and support from friends and family.^15,17,28,29 In general, this work has been based on small clinic-based samples^9,30 or specific child populations (e.g., cerebral palsy,^5,25 attention-deficit/hyperactivity disorder^31,32), and typically has been hampered by limited generalizability and a lack of careful, multivariate analysis. Furthermore, most studies have focused on caregivers'' psychological health,^1,2,5,9–12 although physical health effects may also exist among caregivers.^5,19,25,33One of the few studies to involve large-scale, population-based data compared the health of 468 caregivers of children with cerebral palsy to the health of a population-based sample of Canadian parents.⁵ The study showed that caregivers of children with cerebral palsy had poorer health on a variety of physical and psychological health measures. Furthermore, the data were consistent with a stress process model,^5,25 which proposes that additional stresses associated with caring for a child with cerebral palsy directly contribute to poorer caregiver health. However, these findings were based on a specific subpopulation of caregivers and univariate comparisons that could not control for potentially important confounders such as variation in caregiver education, income, and other demographic factors.We used population-based data to test the hypothesis that the health of caregivers of children with health problems would be significantly poorer than that of caregivers of healthy children, even after we controlled for relevant covariates. Our approach of using large-scale, population-based data representing a broad spectrum of childhood health problems³⁴ makes 4 key contributions to the current literature. First, our use of population-based data rather than small-scale, clinic-based studies yielded results that are potentially generalizable to a wide group of caregivers caring for children with health problems. Second, our examination of children with and without health problems allowed us to examine caregiver health effects across a wide variety of caregiving situations. Third, consideration of physical health outcomes (in addition to more regularly studied psychological outcomes) increased our knowledge of the breadth of caregiver health issues. Finally, controlling for relevant covariates allowed us to rule out a number of alternative explanations for caregiver health effects.     

Health status, neighborhood socioeconomic context, and premature mortality in the United States: The National Institutes of Health-AARP Diet and Health Study

Objectives. We examined whether the risk of premature mortality associated with living in socioeconomically deprived neighborhoods varies according to the health status of individuals.Methods. Community-dwelling adults (n = 566 402; age = 50–71 years) in 6 US states and 2 metropolitan areas participated in the ongoing prospective National Institutes of Health–AARP Diet and Health Study, which began in 1995. We used baseline data for 565 679 participants on health behaviors, self-rated health status, and medical history, collected by mailed questionnaires. Participants were linked to 2000 census data for an index of census tract socioeconomic deprivation. The main outcome was all-cause mortality ascertained through 2006.Results. In adjusted survival analyses of persons in good-to-excellent health at baseline, risk of mortality increased with increasing levels of census tract socioeconomic deprivation. Neighborhood socioeconomic mortality disparities among persons in fair-to-poor health were not statistically significant after adjustment for demographic characteristics, educational achievement, lifestyle, and medical conditions.Conclusions. Neighborhood socioeconomic inequalities lead to large disparities in risk of premature mortality among healthy US adults but not among those in poor health.Research dating back to at least the 1920s has shown that the United States has experienced persistent and widening socioeconomic disparities in premature mortality over time.^1–5 However, it has been unclear whether socioeconomic inequalities affect the longevity of persons in good and poor health equally. Socioeconomic status (SES) and health status are interrelated,^6–8 and both are strong independent predictors of mortality.⁹ Low SES is associated with greater risk of ill health and premature death,^{1–5,8,10–13} partly attributable to disproportionately high prevalence of unhealthful lifestyle practices^10,14,15 and physical and mental health conditions.^13,16 Correspondingly, risk of premature mortality is higher in poor than in more affluent areas.^16,17 Although the association between neighborhood poverty and mortality is independent of individual-level SES,^17,18 aggregation of low-SES populations in poor areas may contribute to variations in health outcomes across neighborhoods. Conversely, economic hardships resulting from ill health may lead persons in poor physical or mental health to move to poor neighborhoods.¹⁹ This interrelatedness may create spurious associations between neighborhood poverty and mortality.Although previous studies have found that the risk of premature death associated with poor health status varies according to individuals'' SES,^20,21 no published studies have examined whether the relative risks for premature mortality associated with living in neighborhoods with higher levels of socioeconomic deprivation vary by health status of individuals. Clarifying these relationships will inform social and public health policies and programs that aim to mitigate the health consequences of neighborhood poverty.^22,23We used data from a large prospective study to examine whether the risk of premature mortality associated with neighborhood socioeconomic context differs according to health status at baseline and remains after adjustment for person-level risk factors for mortality, such as SES, lifestyle practices, and chronic medical illnesses.     

Walking and Cycling to Health: A Comparative Analysis of City, State, and International Data

Objectives. We sought to determine the magnitude, direction, and statistical significance of the relationship between active travel and rates of physical activity, obesity, and diabetes.Methods. We examined aggregate cross-sectional health and travel data for 14 countries, all 50 US states, and 47 of the 50 largest US cities through graphical, correlation, and bivariate regression analysis on the country, state, and city levels.Results. At all 3 geographic levels, we found statistically significant negative relationships between active travel and self-reported obesity. At the state and city levels, we found statistically significant positive relationships between active travel and physical activity and statistically significant negative relationships between active travel and diabetes.Conclusions. Together with many other studies, our analysis provides evidence of the population-level health benefits of active travel. Policies on transport, land-use, and urban development should be designed to encourage walking and cycling for daily travel.Many nations throughout the world have experienced large increases in obesity rates over the past 30 years.^1,2 The World Health Organization estimates that more than 300 million adults are obese,³ putting them at increased risk for diseases such as diabetes, hypertension, cardiovascular disease, gout, gallstones, fatty liver, and some cancers.^4,5 Several studies have linked the increase in obesity rates to physical inactivity^6–8 and to widespread availability of inexpensive, calorie-dense foods and beverages.^1,9The importance of physical activity for public health is well established. A US Surgeon General''s report in 1996, Physical Activity and Health,¹⁰ summarized evidence from cross-sectional studies; prospective, longitudinal studies; and clinical investigations. The report concluded that physical inactivity contributes to increased risk of many chronic diseases and health conditions. Furthermore, the research suggested that even 30 minutes per day of moderate-intensity physical activity, if performed regularly, provides significant health benefits. Subsequent reports have supported these conclusions.^11–13The role of physical activity in prevention of weight gain is well documented.¹⁴ Strong evidence from cross-sectional studies has established an inverse relationship between physical activity and body mass index.^15,16 In addition, longitudinal studies have shown that exercisers gain less weight than do their sedentary counterparts.^6,8 Thus, the obesity epidemic may be explained partly by declining levels of physical activity.^1,17,18A growing body of evidence suggests that differences in the built environment for physical activity (e.g., infrastructure for walking and cycling, availability of public transit, street connectivity, housing density, and mixed land use) influence the likelihood that people will use active transport for their daily travel.^19,20 People who live in areas that are more conducive to walking and cycling are more likely to engage in these forms of active transport.^21–25 Walking and cycling can provide valuable daily physical activity.^26–30 Such activities increase rates of caloric expenditure,³¹ and they generally fall into the moderate-intensity range that provides health benefits.^32–35 Thus, travel behavior could have a major influence on health and longevity.^29,30,36,37Over the past decade, researchers have begun to identify linkages between active travel and public health.^38–40 Cross-sectional studies indicate that walking and cycling for transport are linked to better health. The degree of reliance on walking and cycling for daily travel differs greatly among countries.^39,41 European countries with high rates of walking and cycling have less obesity than do Australia and countries in North America that are highly car dependent.²⁶ In addition, walking and cycling for transport are directly related to improved health in older adults.⁴² The Coronary Artery Risk Development in Young Adults Study found that active commuting was positively associated with aerobic fitness among men and women and inversely associated with body mass index, obesity, triglyceride levels, resting blood pressure, and fasting insulin among men.^26,39,41,43Further evidence of the link between active commuting and health comes from prospective, longitudinal studies.⁴⁴ Matthews et al. examined more than 67 000 Chinese women in the Shanghai women''s health study and followed them for an average of 5.7 years.³⁷ Women who walked (P < .07) and cycled (P < .05) for transport had lower rates of all-cause mortality than did those who did not engage in such behaviors. Similarly, Andersen et al. observed that cycling to work decreased mortality rates by 40% among Danish men and women.³⁶ A recent analysis of a multifaceted cycling demonstration project in Odense, Denmark, reported a 20% increase in cycling levels from 1996 to 2002 and a 5-month increase in life expectancy for males.⁴⁵We analyzed recent evidence from a variety of data sources that supports the crucial relationship between active travel, physical activity, obesity, and diabetes. We used city- and state-level data from the United States and national aggregate data for 14 countries to determine the magnitude, direction, and statistical significance of each relationship.     

Syndemic Theory and HIV-Related Risk Among Young Transgender Women: The Role of Multiple,Co-Occurring Health Problems and Social Marginalization

Objectives. We assessed whether multiple psychosocial factors are additive in their relationship to sexual risk behavior and self-reported HIV status (i.e., can be characterized as a syndemic) among young transgender women and the relationship of indicators of social marginalization to psychosocial factors.Methods. Participants (n = 151) were aged 15 to 24 years and lived in Chicago or Los Angeles. We collected data on psychosocial factors (low self-esteem, polysubstance use, victimization related to transgender identity, and intimate partner violence) and social marginalization indicators (history of commercial sex work, homelessness, and incarceration) through an interviewer-administered survey.Results. Syndemic factors were positively and additively related to sexual risk behavior and self-reported HIV infection. In addition, our syndemic index was significantly related to 2 indicators of social marginalization: a history of sex work and previous incarceration.Conclusions. These findings provide evidence for a syndemic of co-occurring psychosocial and health problems in young transgender women, taking place in a context of social marginalization.Transgender women (i.e., male-to-female transgender persons) are individuals whose gender identities are discordant with the male gender they were assigned at birth. During the developmental period from early adolescence through young adulthood, many transgender women struggle to develop a coherent sense of self while addressing feelings of guilt and shame about their identities and pressures to conform to familial, peer, and gender norms. Many feel the need for secrecy, either to pass in their chosen gender or to hide their true feelings to avoid rejection and discrimination.1 Instead of support and understanding from family, friends, and other adults, these women often experience social rejection and marginalization because of their gender identity and expression, as well as perceived sexual orientation.2–4 Rejection and marginalization are particularly harmful during this period of developmental vulnerability and often result in severe consequences, as evidenced by high rates of homelessness, trading sexual intercourse for food and other basic needs, and incarceration.5–9 A growing body of literature suggests that the marginalization experienced by these young women contributes to a wide range of negative health outcomes, such as psychological distress, substance abuse, and victimization (e.g., from verbal, physical, and sexual abuse). All of these outcomes are related to sexual risk behavior and HIV infection.5–8The prevalence of HIV infection among transgender women is equal to or greater than that among other traditionally high-risk groups, such as men who have sex with men (MSM).10 In a review of 29 studies of HIV incidence, prevalence, and related risk behavior among transgender individuals completed between 1990 and 2003, the average laboratory-confirmed HIV prevalence for transgender women across age groups was 27.7% (4 studies), and the average self-reported HIV prevalence was 11.8% (18 studies that reported prevalence estimates).10 More recent data from local testing of more than 500 transgender women with no known previous positive HIV test results in Miami Beach, Florida, and San Francisco and Los Angeles, California, found a 12% HIV infection prevalence, which suggests a high percentage of unrecognized HIV infection in this population.11 In an analysis by age, the most new HIV infections, representing 45% of all cases, were detected among those aged 20 to 29 years.11Estimates of HIV prevalence among young transgender women are scarce and based on very small, nonprobability samples. A community-based study of ethnic minority transgender women (aged 16–24 years; n = 51) found 22% with self-reported HIV-positive status.6 A previous analysis of study data from young transgender women (aged 15–24 years; n = 151), found a comparable rate of 19% self-reported HIV infection.7 The higher rate of self-reported HIV infection among young transgender women than among transgender women more generally may result from relatively high rates of HIV testing. A total of 87% of young transgender women in this study had been tested for HIV infection at least once.7 However, self-reported prevalence of HIV infection among these young women is still likely to be underestimated in light of the evidence of unrecognized infection among those aged 20 to 29 years.11High rates of unprotected receptive anal intercourse among young transgender women10 place them at risk for both acquiring and transmitting HIV infection. In the review of 29 studies, 31.7% of transgender women reported multiple, primarily male, sexual partners, and 48.3% reported having sexual intercourse with casual partners.10 The average proportion of any unprotected receptive anal intercourse was 44.1%, and the proportion of unprotected insertive anal intercourse was 27.4% (assessed across various recall periods).10 In the community-based study of young transgender women (n = 51), 59% reported having unprotected anal intercourse (receptive or insertive) in the past 12 months.6Multiple psychosocial health problems, including psychological distress, substance use, violence, and victimization are common among transgender women. For example, community surveys suggest rates of depression and suicidality that are up to 3 times as high as in the general population.3,12–14 Evidence indicates that substance use is common (previous 30-day use of alcohol = 50% and of marijuana = 38%)15 and that sexual intercourse under the influence of drugs and alcohol is also highly prevalent.15–17 Studies of violence and victimization among transgender women estimate that 21% to 68% have experienced forced sexual intercourse,9,18 and between 37% and 65% have experienced physical abuse, as either a child or an adult.9,15,18Similarly, evidence suggests that psychosocial health problems are prevalent among young transgender women. Garofalo et al., in their community-based study of 51 ethnic minority young transgender women, found that although self-esteem and depression were within the normal range on average, both were independently associated with unprotected anal intercourse.5 In another study, past-year alcohol and marijuana use were reported by 65% and 71% of participants, respectively.6 Wilson et al. reported that more than 90% of young transgender women in their study sample had used substances in their lifetime (88% had used alcohol; 63%, marijuana; 30%, cocaine; 32%, ecstasy; and 30%, methamphetamine).7 Sexual intercourse under the influence of alcohol or drugs was reported to be 50% in one study5 and 53% in another8 and was significantly associated with unprotected anal intercourse.5 Garofalo et al. found that more than half of participants reported a history of forced sexual intercourse, which was significantly associated with sexual risk behavior.5 Reported fear of partner anger and rejection were also given as reasons young transgender women engaged in unsafe sexual intercourse.6Psychological distress and substance abuse, as well as frequent experiences of violence and other forms of victimization, may contribute to HIV risk in this population, potentially fueling heightened rates of HIV infection. In light of the high HIV prevalence rates and the complexity of risk factors associated with risk behaviors and HIV acquisition, a leading group of experts in transgender health has suggested examining HIV risk among young transgender women within the framework of syndemic theory.19 Singer and Snipes coined the term syndemic for the health crisis (co-occurrence of substance use, AIDS, and violence) among poor and underserved inner-city women in the early 1990s.20 As described by Singer, a syndemic involves

a set of enmeshed and mutually enhancing health problems that, working together in a context of deleterious social and physical conditions that increase vulnerability, significantly affect the overall disease status of a population.21^(p15)

Thus, a syndemic is more than the interaction of diseases; rather, it is the mutually reinforcing interaction of disease and social conditions.21–23 Singer and Clair describe syndemics as occurring in “noxious social conditions” and posits that they are often produced by “structural violence of social inequality.”22^(p434)Stall et al. applied syndemic theory to the study of HIV-related sexual risk among urban MSM. They found that increasing numbers of psychosocial health problems, polysubstance use, depression, partner violence, and childhood sexual abuse were significantly and positively associated with high-risk sexual behavior and HIV infection.24 Similarly, in an urban sample of ethnically diverse MSM aged 16 to 24 years, Mustanski et al. found that increasing numbers of psychosocial health problems, including binge drinking, street drug use, psychological distress, intimate partner violence, and sexual assault, increased the odds of multiple anal intercourse partners, unprotected anal intercourse, and HIV-positive status.25To our knowledge, syndemic theory has not previously been applied to the study of HIV risk among young transgender women; however, their marked social and economic marginalization and high prevalence of psychosocial health problems and HIV infection suggest that the principles underlying this theory may well apply. The syndemic model, therefore, served as a framework guiding our analysis. We chose specific psychosocial health problems for inclusion in our syndemic model—as the data would allow—that were similar to factors examined among both urban poor and underserved women and urban MSM and that reflected the life circumstances of young transgender women.We hypothesized that a syndemic of co-occurring health and psychosocial factors such as low self-esteem, polysubstance use, victimization related to transgender identity (e.g., verbal threats and insults, harrassment by chasing or following respondents or damaging their property, and physical assaults), and intimate partner violence (e.g., partner-controlling actions, verbal harassment, threats to physical safety, sexual violence, and pressure or coercion to hide female gender identity) are additive and associated with HIV infection and sexual risk for HIV infection. That is, the more psychosocial health problems reported, the greater the risk for both unsafe sexual behavior and HIV infection. In addition, Singer specified that a syndemic develops in a context of deleterious social conditions that increase vulnerability. Thus, we further tested indicators of social marginalization as correlates of this clustering of psychosocial factors. Our objectives were to (1) assess whether multiple psychosocial factors are additive in their relationship to sexual risk behavior and self-reported HIV status among young transgender women (i.e., could be characterized as a syndemic) and (2) assess the relationship of indicators of social marginalization, such as a history of commercial sex work, homelessness, and incarceration, to these psychosocial factors.     

Protective Factors in the Lives of Bisexual Adolescents in North America

Objectives. We compared protective factors among bisexual adolescents with those of heterosexual, mostly heterosexual, and gay or lesbian adolescents.Methods. We analyzed 6 school-based surveys in Minnesota and British Columbia. Sexual orientation was measured by gender of sexual partners, attraction, or self-labeling. Protective factors included family connectedness, school connectedness, and religious involvement. General linear models, conducted separately by gender and adjusted for age, tested differences between orientation groups.Results. Bisexual adolescents reported significantly less family and school connectedness than did heterosexual and mostly heterosexual adolescents and higher or similar levels of religious involvement. In surveys that measured orientation by self-labeling or attraction, levels of protective factors were generally higher among bisexual than among gay and lesbian respondents. Adolescents with sexual partners of both genders reported levels of protective factors lower than or similar to those of adolescents with same-gender partners.Conclusions. Bisexual adolescents had lower levels of most protective factors than did heterosexual adolescents, which may help explain their higher prevalence of risky behavior. Social connectedness should be monitored by including questions about protective factors in youth health surveys.Adolescence is a key developmental period with long-term effects on physical and psychological health, and adolescents negotiate a variety of environmental challenges during these years. Although public health practice often focuses on preventing or decreasing health risks, in the past decade increasing attention has been paid to identifying protective factors that can foster healthy development. Protective factors are events, circumstances, and life experiences that promote confidence and competence among adolescents and help to protect them from negative developmental risks and health outcomes.^1,2 Such protective resources enhance resilience among adolescents who face adversities,³ and they arise from individual characteristics and social environments such as families, schools, and communities.⁴Several individual assets and external resources have been identified as protective factors that reduce the likelihood of risky behaviors such as suicidality, substance use, unprotected sexual behavior, and disordered eating. Individual-level protective factors include higher levels of self-esteem, psychological well-being, and religiosity.^5–8 Relational factors such as strong connectedness to family^5,7–13 and school^{5,7,9,10,12,13} also reduce the likelihood of engaging in behaviors that compromise health. Some community-level factors also appear to be protective against risk taking among adolescents; these include the presence of a caring adult role model outside the family^8,13 and community involvement, including volunteering.⁸Most studies focus on adolescents in general, but some populations, such as lesbian, gay, and bisexual adolescents, face greater environmental challenges in negotiating adolescence and navigating developmental tasks. LGB adolescents are disproportionately subjected to violence and harassment at school^14–16 and to physical and sexual abuse.^17,18 In addition, LGB adolescents are more likely than their heterosexual peers to be involved in health-compromising behaviors, including substance use,^14–17 risky sexual behaviors and injection drug use,^14,19,20 and suicide attempts.^{10,14,15,17,21–24}Researchers have recently started illuminating relationships between lower levels of protective factors and negative health outcomes among LGB adolescents. In an analysis of the 2004 Minnesota Student Survey, Eisenberg and Resnick found that LGB students were less likely than were other students to report high levels of family connectedness, teacher caring, other adult caring, and perceived safety at school.²⁵ However, these protective factors, when present, decreased the likelihood of suicidal ideation and attempts, and protective factors accounted for more of the variation in suicide behaviors than did sexual orientation. Similarly, in his analysis of the National Longitudinal Study of Adolescent Health, Ueno found that less-positive relationships with parents, school, and friends explained higher levels of psychological distress among sexual-minority students than among heterosexual students.²⁶ Homma and Saewyc found that higher levels of perceived family caring and more-positive perceptions of school climate were linked to lower levels of emotional distress among Asian American LGB high school students in Minnesota.²⁷These studies provide some evidence that protective factors may work in similar ways for LGB adolescents as for other adolescents, but not consistently; for example, high levels of religious involvement in a faith with negative attitudes about nonheterosexual orientations might actually be more harmful than protective. Further, if LGB adolescents as a group experience lower levels of these assets, this might help explain their higher risks. Only a handful of population-based studies have focused on sexual-minority adolescents and protective factors, and they provide limited information about protective factors among bisexual adolescents separately from gay or lesbian adolescents; most research combines these groups because of small samples. Measuring sexual orientation during adolescence can be difficult; sexual identity development is a task of adolescence, and many youths engage in exploration of romantic attraction, sexual behavior, or identity labels during the adolescent years. Behavior and self-labeling may be discordant at various times, and there is evidence that some adolescents’ perception of their orientation and labels will shift during adolescence and young adulthood.In the few studies that have disaggregated the groups, bisexual adolescents were more likely than were heterosexual peers to report risky sexual behaviors,^19,20 suicide attempts,¹⁶ victimization,¹⁶ delinquency,²⁸ and substance use^16,28; in some cases gay and lesbian adolescents did not significantly differ from their heterosexual peers in these risks.^16,19,28 Some studies used romantic attraction as a measure of orientation,^23,24,26 some used self-labels,^18,22 and some used gender of sexual partners.^{16,20,25,27,28} Few studies offer the opportunity to incorporate correlates for orientation measured in different ways in the same data set.No matter how it is measured, it is important to examine levels of protective factors among bisexual adolescents separately, given the greater likelihood of risk-taking behavior and negative experiences at school among bisexual students. Drawing on data from different waves of the National Longitudinal Study of Adolescent Health, 2 studies have found lower levels of connectedness to family and school and lower perceived caring by other adults among bisexual than among heterosexual adolescents.^29,30 Bisexual and gay or lesbian adolescents generally did not differ in their levels of protective factors, but this may have been partly attributable to relatively small samples of LGB adolescents in the longitudinal study cohort, which limits statistical power for comparisons between the 2 groups. Furthermore, the study is nationally representative of US adolescents in general but may not reflect the full ethnic diversity of LGB populations across the United States or Canada. Studies analyzing larger regional population-based surveys offer opportunities to confirm those findings for specific regions.Identifying whether protective factors work similarly for bisexual adolescents and their peers is useful, but it is equally important to monitor whether bisexual adolescents have the same levels of those protective factors in their lives. We therefore explored levels of protective factors among bisexual adolescents compared with heterosexual, mostly heterosexual, and gay or lesbian peers in 6 school-based surveys in the midwestern United States and western Canada. We posed 3 questions: (1) Are levels of protective factors different between bisexual adolescents and heterosexual adolescents? (2) Are levels of protective factors different between bisexual adolescents and gay or lesbian adolescents? (3) Are these patterns consistent across varying measures of sexual orientation?     

Hombres Sanos: evaluation of a social marketing campaign for heterosexually identified Latino men who have sex with men and women

Objectives. We evaluated the effectiveness of Hombres Sanos [Healthy Men] a social marketing campaign to increase condom use and HIV testing among heterosexually identified Latino men, especially among heterosexually identified Latino men who have sex with men and women (MSMW).Methods. Hombres Sanos was implemented in northern San Diego County, California, from June 2006 through December 2006. Every other month we conducted cross-sectional surveys with independent samples of heterosexually identified Latino men before (n = 626), during (n = 752), and after (n = 385) the campaign. Respondents were randomly selected from 12 targeted community venues to complete an anonymous, self-administered survey on sexual practices and testing for HIV and other sexually transmitted infections. About 5.6% of respondents (n = 98) were heterosexually identified Latino MSMW.Results. The intervention was associated with reduced rates of recent unprotected sex with both females and males among heterosexually identified Latino MSMW. The campaign was also associated with increases in perception of HIV risk, knowledge of testing locations, and condom carrying among heterosexual Latinos.Conclusions. Social marketing represents a promising approach for abating HIV transmission among heterosexually identified Latinos, particularly for heterosexually identified Latino MSMW. Given the scarcity of evidence-based HIV prevention interventions for these populations, this prevention strategy warrants further investigation.In the United States, adult and adolescent Latino males represent 5.6% of the total population¹ but 18.7% of HIV/AIDS cases.² Low rates of condom use^3–5 and limited HIV testing^5–7 likely contribute to the risk for infection and transmission among Latinos.Sex between men continues to account for the majority of new HIV infections in the United States.² HIV prevention efforts have traditionally targeted gay and bisexual men. However, individuals’ self-identified sexual orientation frequently does not correspond to their sexual behavior,^8–12 and recent research has been focused on men who self-identify as heterosexual but have sex with men. The results of studies on men who have sex with both men and women (MSMW) suggest that, regardless of sexual identity, this population is at greater risk for HIV than are men who exclusively have sex with men; likewise, MSMW are at greater risk than are men who exclusively have sex with women (MSW).^11,13–16 Reasons for greater risk among MSMW may include lower rates of condom use^11,16 and having sexual partners who engage in high-risk sexual practices.¹¹Previous studies have suggested that Latino men are more likely than are White men to engage in bisexual sexual behavior^9,11,17,18 but less likely than are White men to self-identify as gay or bisexual or to disclose their sexual orientation.^19–23 Cultural factors such as homophobia, social stigma related to same-sex practices, and sexual conservatism may inhibit Latino men from self-identifying as homosexual or bisexual.^{10,13,23–26} The degree to which Latinos integrate same-sex sexual practices into their sexual identities may influence their risk for HIV infection.²⁷ Latino MSMW who identify as heterosexual may perceive that they are at lower risk for sexually transmitted infections (STIs) than are gay or bisexual men, and Latino MSMW may thus be less likely to use condoms to protect themselves or their partners. Latino MSMW who identify as heterosexual may also be more likely to resort to substance use to reduce sexual inhibition, thus increasing the likelihood that they will engage in unsafe sex.^19,27Nondisclosure of same-sex sexual practices among MSMW also has significant implications for the health of their female sexual partners.^9,17 More than 70% of Latinas living with HIV/AIDS in the United States were infected via heterosexual contact.² Most cases of heterosexual transmission to Latinas are related to sex with partners who use injection drugs,²⁸ but unprotected sex with men who have multiple partners, including MSMW, has likely contributed to a subset of HIV cases among Latina women.^2,29Social marketing involves applying the principles and techniques of commercial marketing to the promotion of behavioral change for the good of a target audience.^30,31 Social marketing has been successfully used for HIV prevention with gay and bisexual males,^32,33 racial and ethnic minorities,³⁴ and youths.^35–38 Interventions using social marketing have been associated with improvements in HIV/STI testing^32,34 and condom use.^36,37,39,40 To our knowledge, no social marketing campaigns have been designed to reduce HIV risk among heterosexually identified Latino MSMW. Because of the secrecy of their sexual practices and the perceived association of HIV infection with homosexuality,^24,41,42 heterosexually identified Latino MSMW are difficult to reach with HIV prevention efforts. This population is not likely to be exposed to prevention messages or programs targeted to the gay and bisexual communities.¹⁸ Moreover, interventions requiring active recruitment of heterosexually identified MSMW may fail to reach sufficient numbers or may not reach those who are most secretive about their same-sex sexual practices.⁴¹ We sought to evaluate the effectiveness of a social marketing campaign to increase condom use and HIV testing among heterosexual Latino men in northern San Diego County, California, with a special emphasis on heterosexually identified Latino MSMW.     

Associations of acculturation and socioeconomic status with subclinical cardiovascular disease in the multi-ethnic study of atherosclerosis

Objectives. We assessed whether markers of acculturation (birthplace and number of US generations) and socioeconomic status (SES) are associated with markers of subclinical cardiovascular disease—carotid artery plaque, internal carotid intima-media thickness, and albuminuria—in 4 racial/ethnic groups.Methods. With data from the Multi-Ethnic Study of Atherosclerosis (n = 6716 participants aged 45–84 years) and race-specific binomial regression models, we computed prevalence ratios adjusted for demographics and traditional cardiovascular risk factors.Results. The adjusted US- to foreign-born prevalence ratio for carotid plaque was 1.20 (99% confidence interval [CI] = 0.97, 1.39) among Whites, 1.91 (99% CI = 0.94, 2.94) among Chinese, 1.62 (99% CI = 1.28, 2.06) among Blacks, and 1.23 (99% CI = 1.15, 1.31) among Hispanics. Greater carotid plaque prevalence was found among Whites, Blacks, and Hispanics with a greater number of generations with US residence (P < .001) and among Whites with less education and among Blacks with lower incomes. Similar associations were observed with intima-media thickness. There was also evidence of an inverse association between albuminuria and SES among Whites and Hispanics.Conclusions. Greater US acculturation and lower SES were associated with a higher prevalence of carotid plaque and greater intima-media thickness but not with albuminuria. Maintenance of healthful habits among recent immigrants should be encouraged.Beginning with the Ni-Hon-San study,^1,2 which was initiated in the 1960s, research has associated increased acculturation to Western lifestyles with more-adverse cardiovascular disease (CVD) risk factor profiles and with increased CVD morbidity and mortality. Specifically, greater Western acculturation has frequently been linked to increased body mass index (BMI; weight in kilograms divided by height in meters squared),^3–5 waist circumference and abdominal obesity,^6,7 hypertension,^7–9 type II diabetes,^10,11 and CVD morbidity and mortality.^1,12,13 However, little research has explored associations between acculturation and subclinical CVD.^14,15Abundant research also exists that links low socioeconomic status (SES) to increased levels of CVD risk factors, morbidity, and mortality.^14,16–18 In general, SES has been found to be inversely related to subclinical measures of CVD, including coronary artery calcification (CAC),^14,19–22 carotid artery plaque, and intima-media thickness^20,23–26 and albuminuria.²⁷ Relations with peripheral artery disease have been inconsistent.^28–30 The extent to which these associations vary by race/ethnicity has been examined infrequently. There is, however, some evidence that the relation between SES and disease may differ across racial/ethnic groups.^14,31,32 Specifically, in the Multi-Ethnic Study of Atherosclerosis (MESA) there was a higher prevalence of CAC among Whites with low education than among those with more education, whereas the reverse was true for Hispanics.¹⁴We investigated whether acculturation and SES were associated with other measures of subclinical disease, specifically with carotid plaque and albuminuria. The relation of acculturation and SES to CAC has been described in MESA.¹⁴ Although CAC, carotid plaque, and albuminuria are all subclinical measures of CVD and are related to adverse clinical outcomes, these measures represent different aspects of the disease process and have relatively weak intercorrelations.³³ Thus, they may be differentially related to our exposures of interest.The investigation of these patterns is important from a public health perspective and may yield clues regarding the etiology of atherosclerosis. On the basis of previous work,¹⁴ we hypothesized that increased Western acculturation, as assessed by place of birth, migration history, and duration of US residence, is associated with increased carotid plaque, intima-media thickness, and albuminuria. Additionally, we expected there to be an interaction between race/ethnicity and SES with respect to their associations with subclinical CVD. Specifically, we expected Whites and Blacks at lower SES to have more-adverse subclinical CVD profiles than those at higher SES, whereas for Hispanics and Chinese, we expected the reverse to be true.     

Prevalence,Harm Perceptions,and Reasons for Using Noncombustible Tobacco Products Among Current and Former Smokers

Objectives. We provided estimates of noncombustible tobacco product (electronic nicotine delivery systems [ENDS]; snus; chewing tobacco, dip, or snuff; and dissolvables) use among current and former smokers and examined harm perceptions of noncombustible tobacco products and reasons for their use.Methods. We assessed awareness of, prevalence of, purchase of, harm perceptions of, and reasons for using noncombustible tobacco products among 1487 current and former smokers from 8 US designated market areas. We used adjusted logistic regression to identify correlates of noncombustible tobacco product use.Results. Of the sample, 96% were aware of at least 1 noncombustible tobacco product, but only 33% had used and 21% had purchased one. Noncombustible tobacco product use was associated with being male, non-Hispanic White, younger, and more nicotine dependent. Respondents used noncombustible tobacco products to cut down or quit cigarettes, but only snus was associated with a higher likelihood of making a quit attempt. Users of noncombustible tobacco products, particularly ENDS, were most likely to endorse the product as less harmful than cigarettes.Conclusions. Smokers may use noncombustible tobacco products to cut down or quit smoking. However, noncombustible tobacco product use was not associated with a reduction in cigarettes per day or cessation.The use of noncombustible tobacco products has increased rapidly in recent years1–3 and may continue to rise in response to restrictions such as smoke-free indoor air laws and rising cigarette taxes.4–8 Noncombustible tobacco products can be grouped into 2 broad categories—aerosolized products such as e-cigarettes, or more accurately termed electronic nicotine delivery systems (ENDS), which deliver nicotine primarily through vapor inhalation that mimics smoking a traditional cigarette,9 and smokeless tobacco products such as chew, dip, or snuff; snus; and dissolvables, which deliver nicotine via oral mucosal absorption.10 These products are marketed to appeal to unique target audiences,9,11–13 such as smokers and young adults, and vary in levels of harmful constituents.9Noncombustible tobacco products are a critical part of the tobacco industry’s strategy to navigate the changing tobacco product landscape. Phillip Morris14,15 and RJ Reynolds16 have announced their intent to develop and market noncombustible tobacco products as part of a shift to reduced harm products.17 In some cases, noncombustible tobacco products have been used to expand the appeal of established cigarette brands to a broader spectrum of consumers, as with RJ Reynolds’s Camel Snus product.18 Most ENDS are marketed and sold independently; however, this is changing with Lorillard’s acquisition of blu eCigs in 201219,20 and the recent launches of RJ Reynolds’s Vuse digital vapor cigarettes21,22 and Altria’s MarkTen e-cigarettes.23Noncombustible tobacco product awareness and prevalence vary by product. In 2010, approximately 40% of adults reported awareness of e-cigarettes,24,25 rising to nearly 60% in 201125; awareness approached 75% among current and former smokers in 2010 to 2011.26 Between 1.8% and 3.4% of the adult general population has tried an e-cigarette,24,25,27,28 including up to 21.2% of current smokers.25,26 More than 40% of adults have heard of snus,29 5% have tried the product,29 and 1.4% are current users.30 Awareness of dissolvables is low (10%), and use is even lower (0.5%).29 Noncombustible tobacco product use is highest among young adults26,31 and smokers.24,27,28Although use of noncombustible tobacco products could potentially reduce harm associated with smoking if they replace cigarettes,32,33 some studies suggest that current smokers who use noncombustible tobacco products do not reduce combustible use and may delay cessation.12,34–37 For example, a study by Wetter et al.38 found that dual users of smokeless tobacco products and cigarettes were less likely to quit than were either smokeless tobacco product or cigarette users alone. This is of concern given the rising rates of dual use; a recent study reported that 30% of young adults who smoke cigarettes use at least 1 other tobacco product.31 Dual use is more prevalent among men,39,40 those of lower socioeconomic status,39,41 and youths and young adults.35,41,42Studies show that most users (65%–85%) perceive ENDS as less harmful than cigarettes,24,26,43 and 40% to 50% perceive snus and dissolvables as equally harmful as cigarettes.29 Few studies have examined reasons for use; one study of visitors to ENDS and smoking cessation Web sites found that nearly 85% used ENDS because they believed that they were less toxic than tobacco; other responses included use of ENDS to deal with cravings or withdrawal, to quit smoking, and to save money.43 Focus group research has shown that adults associate snus and dissolvables with historic images of chewing tobacco,34,44 express skepticism that the products are safer than cigarettes,34 do not view them as substitutes for cigarettes,34,44 and express concern about the user’s lack of control of nicotine ingestion relative to cigarettes.44 By contrast, young adults expressed positive perceptions of snus, dissolvables, and ENDS, in part because of a willingness to experiment with new products and because they are available in flavors.45With the ever-changing tobacco marketplace and the tobacco companies’ commitment to the development and promotion of noncombustible tobacco products, surveillance is critical. This study built on previous research to provide current estimates of noncombustible tobacco product use among current and former smokers and examined harm perceptions of noncombustible tobacco products and reasons for their use.     

HIV Prevalence and Awareness of Positive Serostatus Among Men Who Have Sex With Men and Transgender Women in Bogotá, Colombia

Objectives. We estimated HIV prevalence among men who have sex with men (MSM) and transgender women in Bogotá, Colombia, and explored differences between HIV-positive individuals who are aware and unaware of their serostatus.Methods. In this cross-sectional 2011 study, we used respondent-driven sampling (RDS) to recruit 1000 MSM and transgender women, who completed a computerized questionnaire and received an HIV test.Results. The RDS-adjusted prevalence was 12.1% (95% confidence interval [CI] = 8.7, 15.8), comparable to a previous RDS-derived estimate. Among HIV-positive participants, 39.7% (95% CI = 25.0, 54.8) were aware of their serostatus and 60.3% (95% CI = 45.2, 75.5) were unaware before this study. HIV-positive–unaware individuals were more likely to report inadequate insurance coverage, exchange sex (i.e., sexual intercourse in exchange for money, goods, or services), and substance use than other participants. HIV-positive–aware participants were least likely to have had condomless anal intercourse in the previous 3 months. Regardless of awareness, HIV-positive participants reported more violence and forced relocation experiences than HIV-negative participants.Conclusions. There is an urgent need to increase HIV detection among MSM and transgender women in Bogotá. HIV-positive–unaware group characteristics suggest an important role for structural, social, and individual interventions.Colombia ranks second among countries in Latin America in HIV prevalence, with estimates ranging from 0.7% to 1.1% of the adult population.1 Men who have sex with men (MSM) represent the group most strongly affected, with prevalence of 18% to 20% based on venue-based convenience samples2,3 and 15% based on respondent-driven sampling (RDS).4 Colombia has a long history of armed conflict, and the pervasive conditions of violence, internal displacement, and poverty can be relevant to HIV transmission.5 “Social cleansing” by armed groups has been aimed at MSM and transgender women, as well as people living with HIV,5 and the stigma associated with homosexuality and HIV is widespread and inherent in structural inequalities in Colombia.6,7 Social epidemiological models posit that HIV is influenced by such structural (e.g., civil unrest, migration) and social factors (e.g., social networks, community attitudes), as well as individual characteristics (e.g., psychological characteristics, behavior).8Public health efforts emphasize the importance of detecting and treating undiagnosed HIV as a means of reducing HIV incidence.9–11 In the United States, approximately 20% of HIV-positive individuals are thought to be unaware of their infection, but this group is estimated to be responsible for nearly half of new transmissions.12 There is limited research concerning awareness of serostatus in Latin America. Undiagnosed infection was found to be 89% among HIV-positive MSM sampled in Peru in 2011,13 and rates are likely to be high in Colombia because of low levels of testing,6 including among MSM.4,14 Recent studies of MSM in France, Peru, and the United States have found associations between undiagnosed infection and demographic characteristics such as age, income, and education13,15,16; risk behaviors14,17,18; family or intimate partner violence19; and health insurance coverage.20 We also examined awareness in relation to violence and forced relocation, conditions specific to the Colombian context.Respondent-driven sampling was developed as a means of obtaining unbiased estimates from hidden populations,21–23 and it has been shown to capture a more diverse24,25 and hidden26 group of MSM than time–location or snowball sampling. Research has suggested, however, that biases can occur.27–29Our current study and a study conducted by the United Nations Population Fund and the Colombian Ministry of Health and Social Protection (UNFPA/MSPS) were independently funded at approximately the same time to address the limited information about behavioral risk and HIV prevalence among Colombian MSM. Comparison of findings from the 2 studies provides evidence concerning reliability of the RDS-derived prevalence estimates. We estimated HIV prevalence among MSM and transgender women in Bogotá, Colombia, examined reliability of RDS-derived estimates in relation to the UNFPA/MSPS study,4 and investigated the role of the social and structural context of Colombia in both prevalence and awareness of positive serostatus.     

Sex and Gender in the US Health Surveillance System: A Call to Action

Youth Risk Behavior Survey (YRBS) data have exposed significant sexual orientation disparities in health. Interest in examining the health of transgender youths, whose gender identities or expressions are not fully congruent with their assigned sex at birth, highlights limitations of the YRBS and the broader US health surveillance system.In 2009, we conducted the mixed-methods Massachusetts Gender Measures Project to develop and cognitively test measures for adolescent health surveillance surveys. A promising measure of transgender status emerged through this work.Further research is needed to produce accurate measures of assigned sex at birth and several dimensions of gender to further our understanding of determinants of gender disparities in health and enable strategic responses to address them.Healthy People 2020 extends a commitment to

assess health disparities in the US population by tracking rates of illness, death, chronic conditions, behaviors, and other types of outcomes in relation to demographic factors1

and aims to “achieve health equity, eliminate disparities, and improve the health of all groups.”2 Youth Risk Behavior Survey data have exposed significant sexual orientation disparities3–8 in health in jurisdictions that included measures of sexual orientation on their surveys.However, gaps in the US health surveillance system inhibit efforts to improve the health of both transgender people9–11 and the nontransgender (cisgender) majority. Demographic measures that would enable the population to be classified as trans- or cisgender are rarely included in the health surveillance system. Such measures, often used in combination, include sex (assigned at birth), gender identity (current), and transgender status (transgender is an identity for some individuals and an adjective or status for others). Data about additional dimensions of gender (e.g., expression, beliefs about gender) that could be used to tackle persistent health disparities are also not collected, and these gaps represent untapped potential to improve population health.Although sex and gender identity are often static and concordant for the vast majority of Americans, both sex and gender (more broadly) are multidimensional constructs and can vary over time—particularly for transgender people. The term sex refers to biological differences between male, female, and intersex people (hormones, secondary sex characteristics, reproductive anatomy) that can be altered through the use of hormones and surgical interventions.12 The assignment of individuals to a sex category by medical practitioners at birth is typically based on the appearance of external genitalia and is recorded on the birth certificate as male or female (and assumes a legal status). Legal sex can sometimes be changed on legal documents (e.g., birth certificate, driver’s license, passport) through a complex set of legal procedures. Gender has psychological (identity—an internal sense of being a boy or girl, genderqueer, etc.), social (beliefs about gender, the roles that one assumes, community affiliation), and behavioral (gender expression, how one expresses one’s identity through appearance and actions and is perceived by others) dimensions.13Unfortunately, sex and gender are rarely explicitly measured, and when data are collected, a range of measures and approaches are used. In recognition of the importance of sex and gender identity as demographic characteristics of the US population, and variability in their measurement, the Institute of Medicine,14 US Department of Health and Human Services,15 and Centers for Disease Control and Prevention16 have called for a national data standard for sex and research to create valid measures of gender identity. Although the Youth Risk Behavior Survey relies on self-reported sex, other health surveillance surveys, such as the Behavioral Risk Factor Surveillance System,17 are telephone administered and classify respondents as male or female according to the sound of their voice, or, as in the in-person National Health Interview Survey,18 use visual appearance, with direct questioning about the respondent’s sex by the interviewer “if necessary”17 or “not apparent,”18 respectively. These data are used as measures of both sex and gender identity19,20; however, they actually measure the interviewer’s perception of the respondent’s gender identity.Data about other dimensions of gender, such as gender expression and beliefs about gender (the individual-level analog to gender norms, a societal-level construct), are not collected in the health surveillance system, despite growing bodies of research that highlight their importance as health determinants. Research conducted in lesbian, gay, and bisexual, as well as general, primarily heterosexual cisgender samples, indicates that individuals whose gender expression fails to conform to sex-linked social expectations (e.g., masculine girls and women, feminine boys and men) are at increased risk for violence,21–28 discrimination,23 posttraumatic stress disorder,28 and depression.29 Violence23,30–38 and discrimination39–41 against transgender people, who are gender nonconforming by identity or expression in relation to their assigned sex at birth, is commonplace.Research conducted in the general population shows that beliefs about gender (e.g., violence is acceptable, exercising caution is not masculine, being assertive is not feminine)42 are associated with aggression43–47 and alcohol use.44,48 Thus, strategies to ameliorate persistent public health problems, such as high mortality among men from injury, homicide, and suicide,49 might be advanced by the collection of gender data. Long-standing disparities in depression that disfavor women50,51 might also be addressed by reducing girls’ and women’s exposure to violence52 and by modifying emotional coping styles (e.g., rumination is more common among girls and women,53 whereas problem solving is positively associated with masculine traits and negatively associated with depression54).     

Correlates of incarceration among young methamphetamine users in Chiang Mai, Thailand

Objectives. We examined correlates of incarceration among young methamphetamine users in Chiang Mai, Thailand in 2005 to 2006.Methods. We conducted a cross-sectional study among 1189 young methamphetamine users. Participants were surveyed about their recent drug use, sexual behaviors, and incarceration. Biological samples were obtained to test for sexually transmitted and viral infections.Results. Twenty-two percent of participants reported ever having been incarcerated. In multivariate analysis, risk behaviors including frequent public drunkenness, starting to use illicit drugs at an early age, involvement in the drug economy, tattooing, injecting drugs, and unprotected sex were correlated with a history of incarceration. HIV, HCV, and herpes simplex virus type 2 (HSV-2) infection were also correlated with incarceration.Conclusions. Incarcerated methamphetamine users are engaging in behaviors and being exposed to environments that put them at increased risk of infection and harmful practices. Alternatives to incarceration need to be explored for youths.Over the past decade, methamphetamine use has increased exponentially and reached epidemic proportions, particularly in North America¹ and Southeast Asia.² The methamphetamine epidemic has been concentrated among adolescents and young adults and has significant public health implications² because methamphetamine use has been associated with high-risk behaviors including multiple sexual partners, contractual sex, polydrug use, and aggression.^3,4Thailand has experienced a steadily increasing methamphetamine epidemic since 1996.⁵ By 2003, an estimated 3 500 000 Thais had ever used methamphetamines.⁶ In 1996, Thailand criminalized methamphetamines, treating the trafficking, possession, and use of methamphetamines with the same severity as heroin-related offenses.⁷ In 2003 the government began a “war on drugs” in an attempt to control the epidemic.^8,9 In combination, these events led to a doubling in the number of incarcerated individuals between 1996 and 2004.^7,10 In 2005, 64% of Thai inmates were drug offenders,¹¹ and in 2006, 75% of drug-related arrests and charges were related to methamphetamines.¹² Treatment for methamphetamine use is limited. Institutional management of methamphetamine users includes the use of rehabilitation centers, military-style boot camps, compulsory drug treatment centers, and prisons.¹¹A history of incarceration has been associated with negative health outcomes, including sexually transmitted infections (STIs) and blood-borne viruses, particularly syphilis,¹³ herpes,¹⁴ HIV,^10,15,16 hepatitis b (HBV),^17,18 and HCV.^18–21 The prevalence of these pathogens has been found to be much higher in prisons than in the general population.^22–26 Although these infections may be a result of a high-risk lifestyle leading to incarceration, it is also clear that the prison system exposes individuals to environments and behaviors that increase their risk of acquiring these infections, such as tattooing,^{10,18,21,27–29} unprotected sex as a result of limited condom availability,²⁷ and using shared needles to inject drugs.^27,30,31With so many young methamphetamine users entering the judicial system, it is important to understand the characteristics of this group so that appropriate public health interventions can be designed. Young methamphetamine users need to be diverted away from the judicial system to decrease high-risk behaviors that may impact their own well-being and that of the community.As part of a randomized controlled trial to reduce the risks associated with methamphetamine use among youths in Chiang Mai, Thailand, we investigated behavioral and viral correlates of incarceration among a sample of 1189 young adults aged 18 to 25 years.     

Policy Support, Norms, and Secondhand Smoke Exposure Before and After Implementation of a Comprehensive Smoke-Free Law in Mexico City

Objectives. We assessed attitudes and beliefs about smoke-free laws, compliance, and secondhand smoke exposure before and after implementation of a comprehensive smoke-free law in Mexico City.Methods. Trends and odds of change in attitudes and beliefs were analyzed across 3 representative surveys of Mexico City inhabitants: before implementation of the policy (n = 800), 4 months after implementation (n = 961), and 8 months after implementation (n = 761).Results. Results indicated high and increasing support for 100% smoke-free policies, although support did not increase for smoke-free bars. Agreement that such policies improved health and reinforced rights was high before policy implementation and increased thereafter. Social unacceptability of smoking increased substantially, although 25% of nonsmokers and 50% of smokers agreed with smokers'' rights to smoke in public places at the final survey wave. Secondhand smoke exposure declined generally as well as in venues covered by the law, although compliance was incomplete, especially in bars.Conclusions. Comprehensive smoke-free legislation in Mexico City has been relatively successful, with changes in perceptions and behavior consistent with those revealed by studies conducted in high-income countries. Normative changes may prime populations for additional tobacco control interventions.Smoke-free policies can reduce involuntary exposure to toxic secondhand tobacco smoke (SHS), reduce tobacco consumption and promote quitting,^1,2 and shift social norms against smoking.^3–5 These policies are fundamental to the World Health Organization''s Framework Convention on Tobacco Control, an international treaty that promotes best-practices tobacco control policies across the world.⁶Evidence of successful implementation of smoke-free policies generally comes from high-income countries. Low- and middle-income countries increasingly bear the burden of tobacco use,⁷ however, and these countries may face particular challenges in implementing smoke-free policies, including greater social acceptability of tobacco use, shorter histories of programs and policies to combat tobacco-related dangers, and greater tolerance of law breaking.^8–10 There is a need for research that will help identify effective strategies for promoting and implementing smoke-free policies in low- and middle-income countries.Studies in high-income countries generally indicate that popular support for laws that ban smoking in public places and workplaces is strong and increases after such laws are passed.^11–15 Weaker laws that allow smoking in some workplaces can leave policy support unchanged.¹⁶ Policy-associated increases in support have been shown across populations that include smokers^{11,13,14,17,18} and bar owners and staff.^19,20 Beliefs about rights to work in smoke-free environments¹¹ and the health benefits of these environments²¹ have also been shown to increase with policy implementation. Support for banning smoking in all workplaces appears high in Latin American countries,²² but responses to smoke-free policies are less well known. In Uruguay, the first country in the Americas to prohibit smoking in all workplaces, including restaurants and bars,²³ support before the law was unknown. However, the level of support was high among both the general population²² and smokers²⁴ after the law''s implementation.Compliance with smoke-free laws in high-income countries has been good, particularly when laws apply across all workplaces, including restaurants and bars, and involve media campaigns. Self-reported declines in exposure in regulated venues^11,17,25 are consistent with findings from observational studies,^11,26 biomarkers of exposure,^11,25,27 and air quality assessments.^11,12Approximately 26% of Mexican adults residing in urban areas smoke.⁸ Most Mexicans recognize the harms of SHS and support smoke-free policies.^9,24,28,29 According to an opinion poll conducted before the August 2007 passage of a smoke-free law in Mexico City, about 80% of both Mexico City inhabitants and Mexicans in general supported prohibiting smoking in enclosed public places and workplaces.²⁸ In 2006, 60% of smokers reported that their workplace had a smoking ban, with Mexico City smokers reporting the lowest percentage of workplace bans at 37%.²⁴Mexico City''s smoke-free workplace law^30–32 initially allowed for designated smoking areas that were ventilated and physically separate.^22,33 Concerns about the inequity of this law for small business owners who could not afford to build designated smoking areas led the hospitality industry to support a comprehensive smoke-free law^31,32 that prohibited smoking inside all enclosed public places and workplaces, including public transport, restaurants, and bars. This law entered into force on April 3, 2008.Media coverage of the law was similar to that in high-income countries, pitting arguments about the government''s obligation to protect citizens from SHS dangers against arguments about discrimination toward smokers and the “slippery slope” of regulating behavior^4,32,34 (J. F. Thrasher et al., unpublished data, 2010). Most print media coverage was either positive or neutral, with much less coverage pitched against tobacco control policies.³⁴In the month before and after the law came into effect, the Mexico City Ministry of Health and nongovernmental organizations disseminated print materials and aired radio spots describing the dangers of SHS and the benefits of the law.³⁰ Community health promoters informed businesses about the law. From September through December 2008, a television, radio, print, and billboard campaign emphasized the law''s benefits.³⁵ We assessed, among Mexico City inhabitants, the prevalence of and increases in support, beliefs, norms, and compliance around the smoke-free law, as well as decreases in SHS exposure.     

Socioeconomic and ethnic differences in disease burden and disparities in physical function in older adults

Objectives. We investigated whether a greater burden of disease among poorer individuals and ethnic minorities accounted for socioeconomic and racial disparities in self-reported physical functioning among older adults.Methods. We used data from adults aged 60 years or older (n = 5556) in the Third National Health and Nutrition Examination Survey, 1988–1994 to test associations between education level, poverty index, and race/ethnicity and limitations in 11 functions. We adjusted for demographic features and measures of disease burden (comorbid conditions, smoking, hemoglobin level, serum albumin level, knee pain, body mass index, and skeletal muscle index).Results. Associations between education and functional limitations were attenuated after adjustment, but those with 0–8 years of education were more likely than those with 13 or more years of education to have limitations in 3 functions. Poverty was associated with a higher likelihood of limitations despite adjustment. The likelihood of limitations among non-Hispanic Blacks and Mexican Americans was similar to that of non-Hispanic Whites after adjustment.Conclusions. Socioeconomic disparities in functional limitations among older Americans exist independent of disease burden, whereas socioeconomic differences and disease burden account for racial disparities.Although the prevalence of disability among older adults in the United States has generally declined over the past decade, this trend has not extended to all segments of the population.^1–4 Disability among ethnic minorities and economically disadvantaged groups has not declined, resulting in widening ethnic and socioeconomic disparities.^5–11 Racial minorities and those who are economically disadvantaged are up to 3 times more likely to experience disability than are Whites and those who are not economically disadvantaged, respectively.^8,10,12,13 Achieving health equity has been a public policy priority, and collective interventions have been proposed.^12,14,15 Functional limitations in older adults are particularly important because of their prognostic and economic implications.¹⁶ Functional limitations predict further future decline in physical function,¹⁷ an increased risk of dementia,¹⁸ loss of independence, institutionalization, and mortality.^19–21According to the Institute of Medicine model of the enabling–disabling process, disability is a product of the complex interactions between a person and his or her psychological, social, and physical environments.²² In this context, functional limitations are partly a consequence of an individual''s burden of disease. Musculoskeletal conditions, chronic neurological and cardiopulmonary disorders, sensory and cognitive deficits, anemia, sarcopenia, and chronic pain may lead to functional limitations and disability. Many of the chronic health conditions that can affect physical functioning are more common among ethnic minorities and economically disadvantaged groups,^5,6,9–12 raising the question of whether a greater burden of disease can primarily explain the higher prevalence of functional limitations and disability in these groups.Previous studies of socioeconomic and ethnic disparities in functional limitations reported unadjusted data or data adjusted only for differences in demographic characteristics.^{10,11,23–27} Few studies have examined the role of differences in comorbid conditions, obesity, or smoking or simultaneously examined a range of indicators of disease burden.^6,9,28 We sought to determine whether socioeconomic and ethnic differences in functional limitations among noninstitutionalized older adults in the United States remain after adjusting for measures of disease burden.     

Intergenerational relationships between the smoking patterns of a population-representative sample of US mothers and the smoking trajectories of their children

Objectives. We assessed intergenerational transmission of smoking in mother-child dyads.Methods. We identified classes of youth smoking trajectories using mixture latent trajectory analyses with data from the Children and Young Adults of the National Longitudinal Survey of Youth (n = 6349). We regressed class membership on prenatal and postnatal exposure to maternal smoking, including social and behavioral variables, to control for selection.Results. Youth smoking trajectories entailed early-onset persistent smoking, early-onset experimental discontinued smoking, late-onset persistent smoking, and nonsmoking. The likelihood of early onset versus late onset and early onset versus nonsmoking were significantly higher among youths exposed prenatally and postnatally versus either postnatally alone or unexposed. Controlling for selection, the increased likelihood of early onset versus nonsmoking remained significant for each exposure group versus unexposed, as did early onset versus late onset and late onset versus nonsmoking for youths exposed prenatally and postnatally versus unexposed. Experimental smoking was notable among youths whose mothers smoked but quit before the child''s birth.Conclusions. Both physiological and social role-modeling mechanisms of intergenerational transmission are evident. Prioritization of tobacco control for pregnant women, mothers, and youths remains a critical, interrelated objective.Women who smoke during pregnancy are more likely to have offspring who become adolescent smokers.^1–7 Studies link mother''s smoking during pregnancy with youths'' earlier smoking initiation,^3,7–9 greater persistence in regular smoking,^3,7 and stronger nicotine dependency.^6,8,10,11Hypothesized physiological pathways for mother-to-child transmission of smoking are reviewed elsewhere^12–14 and may include inherited susceptibility to addiction alone or in combination with in utero neurodevelopmental exposure and scarring that activates nicotine susceptibility. Furthermore, because few women who smoke during pregnancy quit after delivery^15,16 higher rates of smoking among offspring may reflect role modeling of maternal smoking behavior. Notably, parental smoking is hypothesized to demonstrate pro-smoking norms and solidify pro-smoking attitudes.^17,18Studies considering both smoking during pregnancy and subsequent maternal smoking outcomes have sought to distinguish between these proposed social and physiological transmission pathways.^{1–4,6,7,9,19} Similarly, studies controlling for family sociodemographic factors^{1,2,4,5,7,8,10,11,19,20} or maternal propensity for health or risk taking^1,2,9,10 have sought to further distinguish direct physiological or social transmission from selection. Studies considering children''s cognitive and behavioral outcomes have shown that selection by maternal social and behavioral precursors to smoking during pregnancy strongly biases findings on smoking during pregnancy^21,22; however, it remains unclear whether this is also the case for youth smoking. Some studies^2,3,5,6,19 have observed that smoking during pregnancy operates independently of subsequent maternal smoking. A few have found that smoking during pregnancy is only independently associated in select analyses (e.g., for initiation but not frequency or number of cigarettes^6,9 or only among females^7,20). Several have found that smoking during pregnancy does not operate independently of subsequent maternal smoking behavior,^1,4 and the remaining studies do not address postnatal maternal smoking.^8,9,11We explored whether these inconsistencies in findings supporting social or physiological mechanisms for intergenerational transmission can be accounted for by more comprehensively examining maternal and child smoking behavior. Previous work has established the advantages of statistical models for youth smoking trajectories that capture initiation, experimentation, cessation, or continued use.^23–28 Studies focusing on parental smoking concurrent with youth smoking suggest that postnatal exposures may differentially predispose youths for specific smoking trajectories.^24,26–28 Only 3 known studies have considered whether smoking during pregnancy influences youth smoking progression, and these have shown greater likelihood of early regular use^3,11 and telescoping to dependence.⁸ However, limitations of sample selectivity and measurement and modeling of maternal and youth smoking outcomes restrict the generalizability and scope of these findings.²⁹ To specifically address these limitations and more comprehensively assess hypothesized intergenerational transmission pathways, we used US population–representative data, latent variable techniques, and a rich set of data on maternal and youth smoking and social and behavioral selection factors. We characterized trajectories of youth smoking from adolescence through young adulthood and considered exposure to various maternal smoking patterns from prebirth to the child''s early adolescence.