Maternal Exposure to Intimate Partner Violence and the Risk of Undernutrition Among Children Younger Than 5 Years in Bangladesh

Objectives. We examined the association between maternal experiences of intimate partner violence (IPV) and the risk of undernutrition among children younger than 5 years in Bangladesh.Methods. We used data from the 2007 Bangladesh Demographic Health Survey. Our analyses were based on the responses of 1851 married women living with at least 1 child younger than 5 years. Exposure was determined from maternal reports of physical and sexual IPV. Outcomes included underweight, stunting, and wasting.Results. Twenty-nine percent of the respondents had experienced IPV in the year preceding the survey. Maternal experience of any physical or sexual IPV was associated with an increased risk of stunting (adjusted odds ratio [AOR] = 1.59; 95% confidence interval [CI] = 1.23, 2.08) and underweight (AOR = 1.33; 95% CI = 1.04, 1.71) but was not significantly associated with wasting (AOR = 1.08; 95% CI = 0.78, 1.49).Conclusions. The association between maternal exposure to physical or sexual IPV and child underweight and stunting suggests that partner violence plays a significant role in compromising child health by impairing child nutrition. Our findings reinforce the evidence that improving child nutrition is an additional reason to strengthen efforts to protect women from physical and sexual IPV.There has been substantial progress over the past decade in reducing child undernutrition. However, Bangladesh continues to have one of the highest rates of child undernutrition in the world,1,2 and this condition is the leading cause of child morbidity and mortality in the country.3,4 In 2005, nearly half of Bangladeshi children were underweight or stunted, and roughly two thirds of deaths among children younger than 5 years were attributed to undernutrition.4Although biological,5,6 environmental,7,8 and socioeconomic9–11 risk factors for child undernutrition are well documented, research has only begun to investigate the influence of other aspects of the social environment. Intimate partner violence (IPV), defined as the range of sexually, physically, and psychologically coercive acts perpetrated against women by current or former male intimate partners,12 is considered to be one of the psychosocial factors that might influence child undernutrition.13 IPV can place psychological stress on children who observe IPV, and stress in turn can affect immune reactivity, predisposing children to severe and chronic infections, most commonly infectious diarrhea.14 These infections further compromise children''s nutritional status. More directly, IPV can affect child nutritional status through familial circumstances such as the withholding of food by abusive family members15 or through physical or psychological maternal health outcomes13 that prevent proper care of the child.16Within and outside of South Asia, increasing evidence has shown a linkage between high rates of IPV among women17–20 and poor infant and child health outcomes such as miscarriage,21,22 morbidity,23–25 and mortality.26–29 However, few studies have been conducted in South Asia to assess the relationship between maternal experiences of IPV and poor child nutritional outcomes. The only study examining this issue was an investigation in India involving a statewide sample. It revealed an association between experiences of physical IPV in the preceding year and chronic undernutrition among children.30 In addition, outside of South Asia, results from a hospital-based study in Brazil indicated a 3-fold increase in the risk of severe acute malnutrition among children aged 1 to 24 months in families with severe and recurrent physical partner abuse.31However, the Indian study measured only physical IPV and did so via only a single global question, and the study in Brazil measured only physical IPV via hospital-based data. There is a clear need to use behaviorally specific questions and nationally representative data to better understand whether physical and sexual IPV are associated with child undernutrition. We examined the association of physical and sexual IPV with child underweight, stunting, and wasting in a nationally representative sample of households in Bangladesh.     

A Multilevel Analysis of Individual, Household, and Neighborhood Correlates of Intimate Partner Violence Among Low-Income Pregnant Women in Jefferson County, Alabama

Objectives. We examined individual, household, and neighborhood correlates of intimate partner violence (IPV) before and during pregnancy.Methods. We used multilevel modeling to investigate IPV among 2887 pregnant women in 112 census tracts who sought prenatal care in 8 public clinics in Jefferson County, Alabama, from 1997 through 2001. Data were collected from the Perinatal Emphasis Research Center project, the 2000 Census, and the local Sheriff and Police Departments Uniform Crime Reports for 1997 through 2001.Results. Participants were predominantly young, African American, on Medicaid, and residents of low-income neighborhoods. The prevalence of past-year male partner–perpetrated physical or sexual violence was 7.4%. Neighborhood residential stability, women performing most of the housework (lack of involvement among partners), being unmarried (being in an uncommitted relationship), and alcohol use were positively associated with elevated IPV risk. Significant protective factors for IPV included older age at first vaginal intercourse and a greater sense of mastery (e.g., the perception of oneself as an effective person).Conclusions. Both neighborhood contextual and individual and household compositional effects are associated with IPV among low-income pregnant women. The results imply that combined interventions to improve neighborhood conditions and strengthen families may effectively reduce IPV.Intimate partner violence (IPV) experienced by pregnant women is a public health concern in the United States because of its high prevalence and its potential for severe physical harm, including injury and death, to both the mother and unborn child. The prevalence of violence against pregnant women has been estimated at 3.9% to 8.3%, depending on the populations, specific periods of pregnancy, and screening tools.¹ Thus, an estimated 152 000 to 324 000 abused women deliver live-born infants annually.² Serious consequences of IPV include delayed prenatal care, miscarriage and spontaneous abortion, and adverse birth and child outcomes.³ Homicide was the second leading cause of injury deaths among pregnant and postpartum women,⁴ and women abused during pregnancy are 3 times more likely to be murdered over the course of their lifetime than women who were abused outside pregnancy.⁵The US Department of Health and Human Services has identified reducing the rate of physical assault by current or former intimate partners to 3.3 per 1000 persons aged 12 years and older to be a Healthy People 2010 health objective.⁶ Achieving this national goal will require further study of the factors associated with IPV, including the family characteristics that promote healthy relationships within a broad ecological systems context,^7–9 and prevention targeted at potentially accessible populations for which IPV has both serious consequences and high prevalence. More than 95% of pregnant women make routine prenatal care visits, providing a stable opportunity in the community to screen and prevent IPV within a primary care setting.^10,11 Because intimate partner violence during pregnancy occurs more often among couples of low socioeconomic status,^1,3,12 low-income households may require special attention in a community to prevent IPV experienced by pregnant women.Whereas most IPV prevention strategies focus on secondary and tertiary prevention based on identified individual-level risk factors, the national IPV prevention agenda highlights the importance of primary prevention and both contextual and protective factors for IPV.^13,14 The use of an ecological systems framework holds promise for the study of IPV because it recognizes the complexity of IPV and puts a equal, joint focus on both the male–female dyad and multiple contexts.^15,16 Prior research has identified neighborhood as an important context in understanding the prevalence of IPV. Significant neighborhood influences include low per capita income, high unemployment rate, resource deprivation, and concentrated disadvantage.^17–23 Inconsistent findings have been reported for neighborhood residential mobility and neighborhood crime.^{18,20,23–25} Compared with the contextual study of IPV in developing countries,²⁶ this line of research in the United States has benefited from a long history of social science studies examining neighborhood context and crime or delinquency.Despite providing useful insights concerning study design, theoretical perspectives, and analytical methods, previous contextual studies of IPV have important methodological limitations. One ecological study measured IPV on the neighborhood level, but did not allow inferences about IPV at the individual level.¹⁸ Other studies^{20–22,24,27,28} examined clustered data with logistic regression models, which fail to account for the clustering inherent in the data. Several studies that used multilevel modeling^17,19,23,25 had small samples with an average of about 1.6 to 2.5 study participants per neighborhood, resulting in numerous clusters with a single observation and unstable estimates of variances for binary outcomes.²⁹ Whereas some studies have underrepresented low-income households in probability samples,^{19–21,25,27,28} others have overrepresented them in convenience samples, including reported incidents from police, screened events in hospitals, and parent studies on HIV.^{17,18,22–24} One contextual study of IPV has focused on women during pregnancy and postpartum.¹⁷Improved understanding of how low-income couples can cope with environmental stressors and prevent IPV from occurring will greatly enhance the development of primary prevention programs. However, little is known about couple-level protective factors.¹³ Previous research has focused on individual- and household-level risk factors for IPV. Although IPV prevalence estimates varied by maternal race and age, consistent risk factors included low socioeconomic status, low educational attainment, and use of alcohol.^1,3,12,19 Household-level risk factors for IPV included social norms (e.g., male dominance in the family), first-time parenting, unplanned or unwanted pregnancy, lack of social support, partner drug use, poor conflict management, stress, and resource inadequacy.^{15,17,23,27,28,30}Family is the primary proximal context for human development.³¹ Strong social bonds and good marriages have been shown to reduce street crimes and IPV primarily through informal social control process.^32–40 Social bonds refer to “internalization of accepted norms, awareness, and sensitivity to the needs of others which promote conformity in society.”^40(p534) Each dimension of the bonds among partners—for example, commitment and involvement—ties partners to conventional society and societal rules, thus informally controlling and preventing IPV.^32,33,40Research designed to increase our understanding of the association of neighborhood contextual and couple-level factors with IPV among low-income pregnant women is needed. We conceptualized that IPV occurs within an ecological framework (Figure 1) that considers the interplay of neighborhood context, household factors (stressors, resources, and bonds among partners), and individual correlates of IPV. We designed this study to determine whether features of neighborhoods, being in an uncommitted relationship, and lack of involvement among partners were associated with a higher prevalence of IPV at the individual level among low-income pregnant women, when we controlled for relevant individual and household factors.Open in a separate windowFIGURE 1The ecological model of neighborhood and household contexts and influences on the experience of intimate partner violence among low-income pregnant women: Perinatal Emphasis Research Center Project, Jefferson County, Alabama, 1997–2001.Note. Solid arrows depict hypothesized strong connections between 2 domains in the sequence. Broken lines represent weaker associations. Double arrows indicate a mutual influence between 2 domains.     

Tackling Health Inequities in Chile: Maternal, Newborn, Infant, and Child Mortality Between 1990 and 2004

Objectives. We analyzed trends in maternal, newborn, and child mortality in Chile between 1990 and 2004, after the introduction of national interventions and reforms, and examined associations between trends and interventions.Methods. Data were provided by the Chilean Ministry of Health on all pregnancies between 1990 and 2004 (approximately 4 000 000). We calculated yearly maternal mortality ratios, stillbirth rates, and mortality rates for neonates, infants (aged > 28 days and < 1 year), and children aged 1 to 4 years. We also calculated these statistics by 5-year intervals for Chile''s poorest to richest district quintiles.Results. During the study period, the maternal mortality ratio decreased from 42.1 to 18.5 per 100 000 live births. The mortality rate for neonates decreased from 9.0 to 5.7 per 1000 births, for infants from 7.8 to 3.1 per 1000 births, and for young children from 3.1 to 1.7 per 1000 live births. The stillbirth rate declined from 6.0 to 5.0 per 1000 births. Disparities in these mortality statistics between the poorest and richest district quintiles also decreased, with the largest mortality reductions in the poorest quintile.Conclusions. During a period of socioeconomic development and health sector reforms, Chile experienced significant mortality and inequity reductions.Despite Latin America''s overall declines in mortality and gains in life expectancy over the past few decades, inequity remains a leading health problem.^1–7 Data from the region on maternal, newborn, infant, and child health show better outcomes among women with higher socioeconomic status.^8,9 Available evidence on the coverage rates of maternal and child health initiatives similarly shows a regressive distribution of services, with the wealthiest groups disproportionately benefiting from the introduction of new programs.^2,10–13 Although maternal and child health inequities are prevalent throughout Latin America, their extent differs, with some countries making strides in their reduction in recent years.⁸Studies examining the success of some Latin American countries (e.g., Chile, Costa Rica, Cuba) in narrowing the gaps between the richest and poorest population groups attribute much of this success to improvements in women''s access to education and increases in the coverage of public health measures.^2,3,14–16 Findings indicate that significant reductions in maternal and child health inequities in Latin American countries can be achieved under diverse political and economic conditions. Other countries in the region (e.g., Mexico, Colombia) have introduced health reforms to ensure that typically underserved groups are better targeted.^2,17 These efforts are further proof that maternal and child health inequities in Latin America are not immutable.Chile has been heralded for its achievements in improving maternal and child health.^3,7 We analyzed the declining trends in maternal and child mortality in Chile between 1990 and 2004 and the variances in mortality trends across district quintiles of socioeconomic status to determine whether and how these inequities changed. We explored reasons for the downward mortality trends and changes in the mortality differentials between district quintiles, such as national-level interventions and changes in key demographic indicators known to influence pregnancy outcomes.Our goal was to document Chile''s declining maternal, newborn and child mortality trends during 1990 to 2004 and explore possible associations between these trends, health sector reforms, and improvements in the socioeconomic status of mothers. We expected to confirm overall declines in mortality and persistent inequities. Given the growing global interest in combating health disparities, our assessment of maternal and child mortality indicators in Chile—the first for this country—is an important first step toward identifying both coverage gaps across the continuum of care¹⁸ and successful strategies in reducing inequities. Our findings may inform efforts in other countries to implement integrated maternal and children''s health service packages and to achieve Millennium Development Goals 4 and 5 (reducing child mortality and improving maternal health, respectively).¹⁹     

Male Perpetration of Intimate Partner Violence and Involvement in Abortions and Abortion-Related Conflict

Men aged 18 to 35 years (n = 1318) completed assessments of perpetration of intimate partner violence (IPV), abortion involvement, and conflict regarding decisions to seek abortion. IPV was associated with greater involvement by men in pregnancies ending in abortion and greater conflict regarding decisions to seek abortion. IPV should be considered within family planning and abortion services; policies requiring women to notify or obtain consent of partners before seeking an abortion should be reconsidered; they may facilitate endangerment and coercion regarding such decisions.Intimate partner violence (IPV) is a major public health issue that affects the lives and health of approximately 20% to 25% of adolescent and adult US women,^1,2 with women of reproductive age at greatest risk.^3,4 Major reproductive health concerns associated with experiences of IPV include unintended⁵ and rapid repeat pregnancies.^6–8 Given that unintended and unwanted pregnancies are the primary reason for seeking abortion,^7,9 abused women are thought to be more likely to experience abortion than are their nonabused counterparts.^10–12 Recent qualitative research suggests there is a broad role played by abusive male partners in controlling women''s reproductive health,^13–15 including attempts to control abortion-related decisions.^13,15 However, quantitative data on this issue have primarily been collected from women attending abortion services, which therefore precludes comparisons to women with no abortion history.^10–12 Given the increasing recognition of the role of male partners in controlling a woman''s reproductive health and decision-making, coupled with the continuing public debate concerning both women''s access to abortion and the role of family members in decisions regarding abortion (e.g., spousal consent),¹⁶ it is critical to understand to what extent abuse from male partners may relate to both women''s seeking abortion and coercion regarding abortion-related decisions. We examined the association of young adult men''s reports of perpetration of IPV and their participation in pregnancies ending in abortion as well as conflict surrounding abortion-related decisions.     

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.     

Maternal Weathering and Risk of Preterm Delivery

Objectives. We compared the association between advancing maternal age and risk of preterm delivery across 4 groups (Black smokers, Black nonsmokers, White smokers, White nonsmokers) and within the context of neighborhood deprivation levels.Methods. We obtained data from linked census and birth records for singletons (n = 182 938) delivered by women aged 20 to 39 years in Philadelphia, Pennsylvania; Baltimore, Maryland; 16 Michigan cities; 3 Maryland counties; and 2 North Carolina counties. Results from area-specific multilevel logistic regression models were combined to obtain pooled estimates of relations between maternal age and risk of preterm delivery. We repeated the models after categorizing women by neighborhood deprivation level (low, medium, and high).Results. Among multiparous women, there was a significant age-related increase in preterm delivery in 3 of the 4 groups. The adjusted odds ratio per 5-year age increase was 1.31 in Black smokers, 1.11 in Black nonsmokers, and 1.16 in White smokers. In each group, the odds ratio increased as neighborhood deprivation increased.Conclusions. These results support the “weathering” hypothesis, suggesting that Black women, women with high-risk behaviors, and women living in high-deprivation neighborhoods may develop “accelerated aging” that increases preterm delivery risk.The elevated risks of infant mortality¹ and long-term disability² associated with preterm birth are well-documented. Studies have repeatedly shown higher preterm delivery rates among Black women in the United States³ and women in lower socioeconomic strata.^4–7 The association between preterm delivery risk and maternal age has also been frequently studied by means of data from vital records^8–12 or epidemiologic studies.^13–17 Overall, these studies suggest a curvilinear relation, with slightly higher preterm delivery risk in adolescents, lower risk in early adulthood, and increasing risk with advancing maternal age. The shape of this curve might be influenced by multiple factors, including age-related differences in maternal behaviors and physiologic and disease states. There is also self-selection in timing of pregnancies, and later-age pregnancies may include a higher proportion of women with a history of infertility or fetal loss.Building on the observations that adverse pregnancy outcomes increase with advancing maternal age, and noting the marked Black–White disparities in these adverse outcomes, Geronimus proposed a “weathering” or “accelerated aging” hypothesis.¹⁸ This hypothesis states that: (1) a decline in health status contributes to poorer reproductive outcomes as women age and (2) social inequalities lead to an earlier and disproportionately greater decline in the health status of Blacks, which results in a widening health differential between Blacks and Whites with advancing age. In support of the weathering hypothesis, Geronimus and others have shown an increase in Black–White disparities with advancing maternal age for outcomes such as neonatal mortality^18,19 and low and very low birth weight (LBW),^18,20–23 but results for preterm delivery have been inconsistent.^9,12,24 There have also been reports of increasing disparities in adverse pregnancy outcomes with advancing age when women are categorized by measures of disadvantage or socioeconomic status.^20,23,25Based on the framework described by Williams,²⁶ there are multiple potential causes in the pathway to accelerated aging among Black and disadvantaged women, such as delays in accessing health care, employment-related adverse health effects, more obstacles to and fewer opportunities for a healthy lifestyle (e.g., exercise and diet), exposure to air pollutants, high-risk coping behaviors (e.g., smoking, alcohol use, and drug use), and excess stress caused by discrimination, violence, financial troubles, housing insecurity, and lack of instrumental social support. Many of these causes are endemic, and perhaps “infectious,” in neighborhoods with high levels of deprivation.²⁷ Among previous studies that have examined effects of neighborhood poverty level on the associations among race, maternal age, and risk of LBW deliveries, results have been mixed,^20,22,23 and no study has assessed preterm delivery as the primary outcome.In our study we linked birth records to census data from a multisite project to compare the association between advancing maternal age and risk of preterm delivery across groups of women categorized by race and reported smoking status during pregnancy. Although smoking is thought to have direct effects on preterm delivery risk, we also considered smoking to be a potential indicator of high-risk coping behaviors and unhealthy lifestyle. We also examined effects of neighborhood deprivation on the age–preterm delivery relation within the different maternal groups as defined by race and smoking status. We hypothesized that the slope of increasing preterm delivery risk with advancing maternal age would be steeper for Black women, smokers, and women living in neighborhoods with high levels of deprivation.     

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.     

Ethnic Density Effects on Birth Outcomes and Maternal Smoking During Pregnancy in the US Linked Birth and Infant Death Data Set

Objectives. We investigated whether mothers from ethnic minority groups have better pregnancy outcomes when they live in counties with higher densities of people from the same ethnic group—despite such areas tending to be more socioeconomically deprived.Methods. In a population-based US study, we used multilevel logistic regression analysis to test whether same-ethnic density was associated with maternal smoking in pregnancy, low birthweight, preterm delivery, and infant mortality among 581 151 Black and 763 201 Hispanic mothers and their infants, with adjustment for maternal and area-level characteristics.Results. Higher levels of same-ethnic density were associated with reduced odds of infant mortality among Hispanic mothers, and reduced odds of smoking during pregnancy for US-born Hispanic and Black mothers. For Black mothers, moderate levels of same-ethnic density were associated with increased risk of low birthweight and preterm delivery; high levels of same ethnic density had no additional effect.Conclusions. Our results suggest that for Hispanic mothers, in contrast to Black mothers, the advantages of shared culture, social networks, and social capital protect maternal and infant health.Numerous studies have shown that living in a socioeconomically deprived neighborhood exerts a contextual effect on the health of individual residents beyond their own socioeconomic status.^1,2 This is likely to have a differential impact on some ethnic minority groups, such as African Americans and Hispanics. (Throughout this paper we have defined “ethnicity” as a global indicator of a person''s heritage including both racial and ethnic origins.) Whereas the majority of poor White people live in nondeprived areas, poor African Americans are concentrated in areas of high poverty.³ Thus, it might be paradoxical to suggest that members of ethnic minority groups might be healthier when they live in areas with a high concentration of people of the same ethnicity.^4,5 However, there is some evidence that living in communities that contain proportionally more people from the same ethnic group is protective for some health outcomes, once material deprivation is accounted for. The evidence for the protective effects of same-ethnic density is strongest for mental health,^4,5 with the evidence for maternal and infant health outcomes more mixed.The majority of studies that have investigated the impact of same-ethnic density on maternal and infant health have focused on African Americans or Black families (in this article, we use whichever term was used in the studies we describe). Two older ecological studies^6,7 found that increasing levels of same-ethnic density for New York City African Americans were associated with increased fetal and neonatal mortality but not postneonatal mortality. Another study found no association between ethnic density measured in US cities and postneonatal mortality.⁸ More recent studies have tended to use multilevel analyses that controlled for individual-level measures of socioeconomic status, and focused on measures of morbidity, such as low birthweight (LBW), with less consistent results.^9–14One study of Chicago neighborhoods found that an increasing proportion of African American residents was associated with a reduced risk of LBW.¹³ Two other studies found that an increasing proportion of Black residents was associated with increased risk of LBW.^11,14 However, other studies have found no significant associations between same-ethnic density and LBW.^9,10,12Five studies have investigated the impact of ethnic density on preterm delivery rates among African Americans.^{9,10,12,15,16} Studies of neighborhoods in Minnesota⁹ and North Carolina¹⁵ found same-ethnic density to be associated with increased risk of preterm delivery after adjustment for individual but not area measures of socioeconomic circumstances. Three other studies found no association between same-ethnic density and preterm delivery in models that included individual-level maternal education and area-level measures of socioeconomic circumstances.^10,12,16We are aware of only 1 study that has investigated the impact of same-ethnic density on maternal smoking during pregnancy, which found that it was associated with reduced risk of maternal smoking after adjustment for both individual and area measures of socioeconomic conditions.¹⁷We found only 2 studies that have investigated the impact of ethnic density on Hispanic maternal and infant health. The first, conducted in the states of Arizona, California, New Mexico, and Texas, found lower rates of infant mortality for US-born Mexican-origin mothers living in counties with high concentrations of mothers of the same ethnicity.¹⁸ However, this effect was not found for mothers born outside the United States. The second study found no associations between same-ethnic density, as measured in Chicago census tracts, and LBW, preterm delivery, and maternal smoking after adjustment for economic disadvantage, maternal education, and violent crime.¹²Further support for the protective effects of Hispanic density comes from the “Hispanic paradox.”¹⁹ Compared with the White majority population, Hispanic mothers tend to have better or equal pregnancy outcomes and better health-related behaviors despite generally having more disadvantaged socioeconomic circumstances.^20–24 It has been proposed that this “paradox” can be explained by dietary factors, social support and cohesion, and cultural differences in relation to the importance of motherhood.^23,24 However, long-term US residents who move away from ethnic enclaves²⁵ are more likely to adopt Western health behaviors and values²⁶ and may lose any protective effects of Hispanic culture. Thus, the protective effects of Hispanic culture are more likely to be maintained in communities of higher Hispanic density.We hypothesized that maternal smoking during pregnancy, infant mortality, LBW, and preterm birth would be lower for non-Hispanic Black and Hispanic White (hereafter referred to as “Hispanic mothers”) mothers living in counties with a higher percentage of people of the same ethnicity, relative to their counterparts living in counties with a low percentage of people of the same ethnicity.     

Impact of individual-, environmental-, and policy-level factors on health care utilization among US farmworkers

Objectives. We examined individual-, environmental-, and policy-level correlates of US farmworker health care utilization, guided by the behavioral model for vulnerable populations and the ecological model.Methods. The 2006 and 2007 administrations of the National Agricultural Workers Survey (n = 2884) provided the primary data. Geographic information systems, the 2005 Uniform Data System, and rurality and border proximity indices provided environmental variables. To identify factors associated with health care use, we performed logistic regression using weighted hierarchical linear modeling.Results. Approximately half (55.3%) of farmworkers utilized US health care in the previous 2 years. Several factors were independently associated with use at the individual level (gender, immigration and migrant status, English proficiency, transportation access, health status, and non-US health care utilization), the environmental level (proximity to US–Mexico border), and the policy level (insurance status and workplace payment structure). County Federally Qualified Health Center resources were not independently associated.Conclusions. We identified farmworkers at greatest risk for poor access. We made recommendations for change to farmworker health care access at all 3 levels of influence, emphasizing Federally Qualified Health Center service delivery.US farmworkers face significant disease burden¹ and excessive mortality rates for some diseases (e.g., certain cancers and tuberculosis) and injuries.² Disparities in health outcomes likely stem from occupational exposures and socioeconomic and political vulnerabilities. US farmworkers are typically Hispanic with limited education, income, and English proficiency.³ Approximately half are unauthorized to work in the United States.³ Despite marked disease burden, health care utilization appears to be low.^1,4–9 For example, only approximately half of California farmworkers received medical care in the previous year.⁶ This rate parallels that of health care utilization for US Hispanics, of whom approximately half made an ambulatory care visit in the previous year, compared with 75.7% of non-Hispanic Whites.¹⁰ Disparities in dental care have a comparable pattern.^6,8,11,12 However, utilization of preventive health services is lower for farmworkers^5,7,13,14 than it is for both US Hispanics and non-Hispanic Whites.^15,16Farmworkers face numerous barriers to health care^1,4,17: lack of insurance and knowledge of how to use or obtain it,^6,18 cost,^{5,6,12,13,18–20} lack of transportation,^{6,12,13,19–21} not knowing how to access care,^6,18,20,21 few services in the area or limited hours,^12,20,21 difficulty leaving work,¹⁹ lack of time,^5,13,19 language differences,^6,8,18–20 and fear of the medical system,¹³ losing employment,⁶ and immigration officials.²¹ Few studies have examined correlates of health care use among farmworkers. Those that have are outdated or limited in representativeness.^5,7,14,22,23 Thus, we systematically examined correlates of US health care use in a nationally representative sample of farmworkers, using recently collected data. The sampling strategy and application of postsampling weights enhance generalizability. We selected correlates on the basis of previous literature and the behavioral model for vulnerable populations.²⁴ The behavioral model posits that predisposing, enabling, and need characteristics influence health care use.²⁵ The ecological model, which specifies several levels of influence on behavior (e.g., policy, environmental, intrapersonal),²⁶ provided the overall theoretical framework. To our knowledge, we are the first to extensively examine multilevel correlates of farmworker health care use. We sought to identify farmworkers at greatest risk for low health care use and to suggest areas for intervention at all 3 levels of influence so that farmworker service provision can be improved.     

Posttraumatic stress disorder and HIV risk among poor, inner-city women receiving care in an emergency department

Objectives. We examined the associations between posttraumatic stress disorder (PTSD) and HIV risk behaviors among a random sample of 241 low-income women receiving care in an urban emergency department.Methods. We recruited participants from the emergency department waiting room during randomly selected 6-hour blocks of time. Multivariate analyses and propensity score weighting were used to examine the associations between PTSD and HIV risk after adjustment for potentially confounding sociodemographic variables, substance use, childhood sexual abuse, and intimate partner violence.Results. A large majority of the sample self-identified as Latina (49%) or African American (44%). Almost one third (29%) of the participants met PTSD criteria. Women who exhibited symptoms in 1 or more PTSD symptom clusters were more likely than women who did not to report having had sex with multiple sexual partners, having had sex with a risky partner, and having experienced partner violence related to condom use in the preceding 6 months.Conclusions. The high rate of PTSD found in this sample and the significant associations between PTSD symptom clusters and partner-related risk behaviors highlight the need to take PTSD into account when designing HIV prevention interventions for low-income, urban women.The relationship between posttraumatic stress disorder (PTSD) and HIV risk behaviors remains relatively underresearched. However, several studies have shown that PTSD is associated with sexual HIV risk behaviors and HIV seropositive status.^1–3 Emergency departments have been identified as the first and primary source of medical treatment of many women infected with or at high risk for HIV^4–6 and for those with high rates of interpersonal violence and trauma, including those suffering from PSTD.^7–11Hutton et al. found that, after adjustment for potentially confounding factors, a PTSD diagnosis was associated with engaging in anal intercourse and exchanging sex for money or drugs in a sample of 177 female inmates.¹² High rates of PTSD have also been found among HIV-positive women,^3,13,14 many of whom have experienced repeated traumas associated with PTSD, such as childhood sexual abuse and intimate partner violence (IPV).^3,13,14 In a study of HIV-positive women, 35% of those with a trauma history met the criteria for PTSD,¹⁵ a rate far exceeding both the lifetime PTSD rate (10.4%) among women in the general population¹⁶ and the PTSD rate (4.6%) in a nationally representative sample of female crime victims.¹⁷The relationship between PTSD and HIV risk behaviors has been found to vary according to the presence of different PTSD symptoms (avoidance, hyperarousal, and reexperiencing trauma). In their study of 64 HIV-positive women and men, Gore-Felton and Koopman found that moderate to severe reexperiencing symptoms were associated with multiple sexual partners and unprotected sex during the preceding 3 months.¹⁸ Individuals with avoidant symptoms were less likely to have engaged in unprotected sex, possibly as a result of deficits in establishing and maintaining intimate partnerships.¹⁸ The presence of hyperarousal symptoms may trigger individuals to seek sexual stimulation and engage in riskier sex, and they may experience difficulty in problem solving and negotiating safe sex.¹⁹The research just described highlights mechanisms of how different PTSD symptom clusters may increase the likelihood of engaging in HIV risks. However, it should also be acknowledged that the relationship may be bidirectional: a traumatic experience (e.g., forced unprotected sex) associated with a risk of HIV may lead to PTSD.Furthermore, research suggests that the relationship between PTSD and HIV risk may be mediated by several factors, including childhood sexual abuse, IPV, and substance abuse. Those who have experienced childhood sexual abuse are at increased risk of developing PTSD,^20–22 engaging in subsequent sexual HIV risk behaviors, and HIV transmission.^3,23 Similarly, IPV has been found to increase the risk of both developing PTSD and engaging in a range of HIV risk behaviors, including unprotected sex,^24–38 sexual practices leading to a high risk of sexually transmitted infections,^6,32,39–42 sex with multiple partners,^31,32,43 trading of sex for money or drugs,^40,44 sex with risky partners,^38,45 and sex with HIV-positive partners.³⁸ Finally, substantial research indicates that drug and alcohol dependencies are associated with both PTSD^46,47 and engaging in a range of HIV risk behaviors.^48–51We examined the relationship between PTSD (and the symptom clusters of avoidance, reexperiencing trauma, and hyperarousal) and sexual HIV risk behaviors in a random sample of 241 women attending an emergency department in a low-income neighborhood of the Bronx, New York. We hypothesized that women who met the criteria for PTSD and the symptom clusters of hyperarousal, reexperiencing trauma, or avoidance would be more likely than women who did not meet these criteria to engage in sexual HIV risk behaviors after adjustment and matching for potentially confounding factors such as sociodemographic characteristics, childhood sexual abuse, substance abuse, and IPV.     

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.     

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.     

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.     

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.     

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).     

First-Trimester Working Conditions and Birthweight: A Prospective Cohort Study

Objectives. We investigated the relationship between women''s first-trimester working conditions and infant birthweight.Methods. Pregnant women (N = 8266) participating in the Amsterdam Born Children and Their Development study completed a questionnaire gathering information on employment and working conditions. After exclusions, 7135 women remained in our analyses. Low birthweight and delivery of a small-for-gestational-age (SGA) infant were the main outcome measures.Results. After adjustment, a workweek of 32 hours or more (mean birthweight decrease of 43 g) and high job strain (mean birthweight decrease of 72 g) were significantly associated with birthweight. Only high job strain increased the risk of delivering an SGA infant (odds ratio [OR] = 1.5; 95% confidence interval [CI] = 1.1, 2.2). After adjustment, the combination of high job strain and a long workweek resulted in the largest birthweight reduction (150 g) and the highest risk of delivering an SGA infant (OR = 2.0; 95% CI = 1.2, 3.2).Conclusions. High levels of job strain during early pregnancy are associated with reduced birthweight and an increased risk of delivering an SGA infant, particularly if mothers work 32 or more hours per week.Delivery of a low-birthweight or small-for-gestational-age (SGA) infant as a result of fetal growth restriction is one of the principal adverse pregnancy outcomes. In the short term, low birthweight and small size for gestational age are major determinants of infant mortality and morbidity¹ and impaired neonatal development.² In the long term, they increase metabolic and cardiovascular disease risk.^3–5 Prevention of fetal growth restriction is therefore of undisputed clinical and economic importance.Maternal factors, obstetric factors (e.g., placental dynamics), and social factors,⁵ including employment-related factors, can all play a role in fetal growth impairment.^6–24 Although employment in general is associated with enhanced outcomes,^6,20,21 certain working conditions represent potential risk factors for the mother and child. Increased levels of risk resulting from long working hours,^{12,13,17,18,24} high physical workloads,^13–16 prolonged standing,^13,18 and psychosocial job strain^7,9,10,24 have been suggested, but the findings in this area are not unequivocal.^8,11,22,23 So far, 2 reviews have been conducted that focused on physical workload and delivery of an SGA infant. Mozurkewich et al.¹⁶ concluded from their review of 29 studies that physically demanding work is associated with SGA births (pooled odds ratio [OR] = 1.37; 95% confidence interval [CI] = 1.30, 1.44). Bonzini et al.¹⁹ reached the same conclusion in their study. To our knowledge, job strain has not been considered in any published review.Limitations in research designs,^6,8,19–21 variability in definitions and measurement of work-related factors,^6,18–20 and true variability across countries and cultures may account for the inconsistent results observed to date. Another important limitation of occupational hazard research is the focus on third-trimester exposures.^11,13 Experimental data and emerging theory point to the first rather than the second or third trimester as a crucial period for regulating the relevant fetal hormonal set points, in particular the hypothalamic pituitary axis (HPA).^25–27 Stress-dependent dysregulation of the HPA affects birthweight and a child''s subsequent growth and development.^25–31 From this perspective, employment during pregnancy is perhaps the most prevalent potential stress factor, given that few working women quit their jobs early in pregnancy.In an effort to overcome the limitations of previous studies, we explored the association between infant birthweight and employment-related conditions (e.g., hours worked per week, hours standing or walking, physical demands of work, and job strain) in an unselected urban cohort of pregnant women. We hypothesized that after adjustment for all known major cofactors, first-trimester work-related effects on birthweight would exceed the third-trimester effects reported in previous research.     

Suicidal Behavior Among Female Sex Workers in Goa, India: The Silent Epidemic

Objectives. We sought to study suicidal behavior prevalence and its association with social and gender disadvantage, sex work, and health factors among female sex workers in Goa, India.Methods. Using respondent-driven sampling, we recruited 326 sex workers in Goa for an interviewer-administered questionnaire regarding self-harming behaviors, sociodemographics, sex work, gender disadvantage, and health. Participants were tested for sexually transmitted infections. We used multivariate analysis to define suicide attempt determinants.Results. Nineteen percent of sex workers in the sample reported attempted suicide in the past 3 months. Attempts were independently associated with intimate partner violence (adjusted odds ratio [AOR] = 2.70; 95% confidence interval [CI] = 1.38, 5.28), violence from others (AOR = 2.26; 95% CI = 1.15, 4.45), entrapment (AOR = 2.76; 95% CI = 1.11, 6.83), regular customers (AOR = 3.20; 95% CI = 1.61, 6.35), and worsening mental health (AOR = 1.05; 95% CI = 1.01, 1.11). Lower suicide attempt likelihood was associated with Kannad ethnicity, HIV prevention services, and having a child.Conclusions. Suicidal behaviors among sex workers were common and associated with gender disadvantage and poor mental health. India''s widespread HIV-prevention programs for sex workers provide an opportunity for community-based interventions against gender-based violence and for mental health services delivery.Suicide is a public health priority in India. Rates of suicide in India are 5 times higher than in the developed world,^1,2 with particularly high rates of suicide among young women.^3–5 Verbal autopsy surveillance from southern India suggests that suicide accounts for 50% to 75% of all deaths among young women, with average suicide rates of 158 per 100 000.²Common mental disorders such as depressive and anxiety disorders, and social disadvantage such as gender-based violence and poverty, are major risk factors for suicide among women.^1,3,6–8 Although research from high-income countries shows that common mental disorders are a major contributor to the risk of suicidal behavior, their role is less clear in low- and middle-income countries in which social disadvantage has been found to be at least as important.^1,3,6–8 Gender disadvantage is increasingly seen as an important contributing factor to the high rates of suicide seen among women in Asia.^1,3,6,7 Gender-based violence is a common manifestation of gender disadvantage and has been linked with common mental disorders and suicide in population-based studies of women and young adults in Goa, India.^4,5,9 Lack of autonomy, early sexual debut, limited sexual choices, poor reproductive health, and social isolation are other manifestations of gender disadvantage.Sex work in India is common. An estimated 0.6% to 0.7% of the female adult urban population are engaged in commercial sexual transactions.¹⁰ Studies from developed nations have found a high prevalence of self-harming behaviors in people engaged in transactional sexual activity.¹¹ There is also growing evidence suggesting that HIV-positive individuals from traditionally stigmatized groups report higher rates of violence exposure and suicidal ideation.^12,13 Female sex workers in India are a traditionally stigmatized group, with high prevalence of HIV¹⁰ and levels of stigma and violence that relate to the context of their work.¹⁴ Yet, despite substantial investigation of their reproductive and sexual health needs, there is virtually no information on suicide and its determinants among female sex workers from low- and middle-income countries.¹⁵As demonstrated in the hierarchical conceptual framework outlined in Figure 1,^4,5,9 we hypothesized that gender disadvantage, sex work, and health factors together with factors indicative of social disadvantage are distal determinants of female sex workers'' vulnerability to suicidal behaviors,^4,5,9,15 the effects of which would be mediated though poor mental health.³ We studied the burden of suicidal behaviors in a cross-sectional sample of female sex workers in Goa, India. We explored the association of sociodemographic factors, type of sex work, sexual health, and gender disadvantage, with and without measures of poor mental health, on suicide attempts in the past 3 months.Open in a separate windowFIGURE 1A conceptual framework for social risk factors for suicide among female sex workers in India.Note. STI = sexually transmitted infection.     

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.     

Promoters and Barriers to Fruit, Vegetable, and Fast-Food Consumption Among Urban, Low-Income African Americans��A Qualitative Approach

To identify promoters of and barriers to fruit, vegetable, and fast-food consumption, we interviewed low-income African Americans in Philadelphia. Salient promoters and barriers were distinct from each other and differed by food type: taste was a promoter and cost a barrier to all foods; convenience, cravings, and preferences promoted consumption of fast foods; health concerns promoted consumption of fruits and vegetables and avoidance of fast foods. Promoters and barriers differed by gender and age. Strategies for dietary change should consider food type, gender, and age.Diet-related chronic diseases—the leading causes of death in the United States^1,2—disproportionately affect African Americans^3–7 and those having low income.^8–10 Low-income African Americans tend to have diets that promote obesity, morbidity, and premature mortality^3,4,11,12; are low in fruits and vegetables^13–18; and are high in processed and fast foods.^19–23Factors that may encourage disease-promoting diets include individual tastes and preferences, cultural values and heritage, social and economic contexts, and systemic influences like media and marketing.^24–30 Because previous research on dietary patterns among low-income African Americans has largely come from an etic (outsider) perspective, it has potentially overlooked community-relevant insights, missed local understanding, and failed to identify effective sustainable solutions.³¹ Experts have therefore called for greater understanding of an emic (insider) perspective through qualitative methods.³¹ However, past qualitative research on dietary patterns among low-income African Americans has been limited, focusing mostly or exclusively on ethnic considerations,^28,29 workplace issues,¹⁰ women,^32–38 young people,^38,39 or only those with chronic diseases^34,36,39,40 and neglecting potentially important differences by age and gender.^31,41–43To build on prior research, we conducted interviews in a community-recruited sample using the standard anthropological technique of freelisting.^44–46 Our goals were (1) to identify the promoters of and barriers to fruit, vegetable, and fast-food consumption most salient to urban, low-income African Americans and (2) to look for variation by gender and age.     

Risks of Recreational Exposure to Waterborne Pathogens Among Persons With HIV/AIDS in Baltimore, Maryland

Objectives. We assessed the prevalence of recreational activities in the waterways of Baltimore, MD, and the risk of exposure to Cryptosporidium among persons with HIV/AIDS.Methods. We studied patients at the Johns Hopkins Moore Outpatient AIDS Clinic. We conducted oral interviews with a convenience sample of 157 HIV/AIDS patients to ascertain the sites used for recreational water contact within Baltimore waters and assess risk behaviors.Results. Approximately 48% of respondents reported participating in recreational water activities (fishing, crabbing, boating, and swimming). Men and women were almost equally likely to engage in recreational water activities (53.3% versus 51.3%). Approximately 67% (105 of 157) ate their own catch or that of friends or family members, and a majority (61%, or 46 of 75) of respondents who reported recreational water contact reported consumption of their own catch.Conclusions. Baltimoreans with HIV/AIDS are engaging in recreational water activities in urban waters that may expose them to waterborne pathogens and recreational water illnesses. Susceptible persons, such as patients with HIV/AIDS, should be cautioned regarding potential microbial risks from recreational water contact with surface waters.Persons with HIV/AIDS are at high risk for increased morbidity and mortality associated with a range of opportunistic infections, some of which are caused by Cryptosporidium. Cryptosporidium species are of particular public health and medical importance because they are prevalent in surface waters of the United States,^1–7 are efficiently transmitted via water,⁸ and can be consumed in foods contaminated by fecal matter.^9–11 Exposures to Cryptosporidium are common in the US population,¹² and past studies have demonstrated that Cryptosporidium infections significantly contribute to illness and mortality in persons with HIV/AIDS.^13–15 In the 1980s, Cryptosporidium was identified as a major opportunistic pathogen.^16–21 Infection continues to be frequently diagnosed in persons with HIV/AIDS.^22–27 Before the advent of highly active antiretroviral therapy, Cryptosporidium was a relatively common opportunistic infection even in developed countries.^28,29Cryptosporidiosis manifests as an acute gastroenteritis, accompanied by cramps, anorexia, vomiting, abdominal pains, fever, and chills²⁹ and by histological presentation of gastrointestinal mucosal injury.^30,31 Persons with AIDS who become infected with this parasite are at increased risk of developing chronic and often life-threatening diarrhea, biliary tract diseases, pancreatitis, colitis, and chronic asymptomatic infection and recurrence. These developments are especially likely in those who are severely immunosuppressed (CD4 counts < 150 cells/mL).^29,32–35 Infection is diagnosed by the presence of oocysts in unpreserved or preserved stools.³⁶ Histological and ultrastructural examination of biopsy material for different Cryptosporidium life stages, detection of Cryptosporidium DNA and antigens, and identification of species through molecular techniques can also aid in diagnosis.^36–38Cryptosporidium species are enteric protozoan organisms and are prevalent in US watersheds, especially in urban waters.^1,6,39 These parasites have natural hosts in domestic and wild animals such as cattle (especially newborn calves), horses, fish, and birds.^5,40–42 These parasites cause cryptosporidiosis by infecting and damaging the cells of the small intestine and other organs.^13,41 For persons with HIV/AIDS, increased risk for infection by Cryptosporidium has been related to sexual practices such as engaging in sexual intercourse within the past 2 years, having multiple partners during that time, and engaging in anal intercourse.⁴³ Use of spas and saunas has also been identified as a risk factor.⁴³In the United States, Cryptosporidium is the most commonly identified pathogen in cases of recreationally acquired gastroenteritis⁴⁴; the majority of those affected are children. Increased risk of cryptosporidiosis in persons with HIV/AIDS has been associated with swimming.^45,46 US residents make an estimated 360 million annual visits to recreational water venues such as swimming pools, spas, and lakes; swimming is the second most popular physical activity in the country and the most popular among children.⁴⁷Recreational swimming, even in highly chlorinated water, carries a high risk of exposure to enteric pathogens, including Cryptosporidium, Norovirus, Shigella, Escherichia coli, and Giardia.⁴⁸ Cryptosporidiosis and some other enteric illnesses are seasonal, with spikes in occurrence in the summer months from contact with recreational water venues.⁴⁹ Extreme precipitation⁵⁰ and high ambient temperatures⁵¹ can also affect patterns of disease outbreaks. Because not all infections with Cryptosporidium lead to apparent illness or symptoms, infected persons may unknowingly transmit these pathogens to others, such as household members and other recreationists.^12,52 Cryptosporidiosis from swimming, wading, and splashing is prevalent in the United States.^44,46,53,54Risks from the presence of pathogens in waterways include (1) waterborne gastroenteritis and other recreational water illnesses in anglers and other recreationists^44,55–59; (2) transmission of pathogens to humans from caught seafood acting as fomites, or surface carriers⁶⁰; (3) food-borne gastroenteritis from consumption of raw or improperly cooked fish and shellfish^61,62; and (4) hand-to-mouth transmission of pathogens while eating, drinking, or smoking during activities such as fishing and crabbing.⁷Recreational water activities in the Baltimore, Maryland, area take place in Jones Falls and Baltimore Harbor. These and other waterways are used for angling, crabbing, swimming, kayaking, and boating (including paddle boating).^7,63 In addition, Baltimore-area residents often catch and consume fish and crabs from the Baltimore Harbor and local waterways, many of which are already highly contaminated by persistent chemicals such as mercury and polychlorinated biphenyls.⁶⁴ These activities are known to increase risks of exposure to waterborne pathogens through direct contact with contaminated waters or through contact with or handling and consumption of caught seafood (fish, crabs, oysters).^7,65,66To investigate the potential contribution of recreational water contact to Cryptosporidium exposures among persons with HIV/AIDS, we carried out a cross-sectional study at the Johns Hopkins Moore Outpatient AIDS Clinic. The Baltimore metropolitan area has a high prevalence rate of HIV/AIDS among both men and women,⁶⁷ and its population makes intensive recreational use of a contaminated watershed. In addition, laboratory experiments have indicated that crabs can become superficially contaminated by Cryptosporidium and transfer the pathogen to hands.⁶⁸ Local anglers are at risk from Cryptosporidium on wild-caught fish.⁷Our objective was to address the risks of exposure to Cryptosporidium for an urban subpopulation, persons with HIV/AIDS, as a result of recreational contact with Baltimore waterways. We also assessed the patterns and locations of recreational water activities in Baltimore waters.