How much of racial/ethnic disparities in dietary intakes, exercise, and weight status can be explained by nutrition- and health-related psychosocial factors and socioeconomic status among US adults?

Large disparities exist in obesity and other chronic diseases across racial/ethnic and socioeconomic status (SES) groups in the United States. This study examined how much of racial/ethnic differences in diet, exercise, and weight status could be explained by nutrition- and health-related psychosocial factors (NHRPF) and SES among US adults. Nationally representative data of 4,356 US adults from the 1994-1996 Continuing Survey of Food Intakes by Individuals and the Diet and Health Knowledge Survey were used. NHRPF were assessed using 24 questions and related index scores. Dietary intakes were assessed using two nonconsecutive 24-hour dietary recalls. The US Department of Agriculture 2005 Healthy Eating Index was applied to evaluate diet quality. Body mass index was calculated based on self-reported weight and height. SES was assessed using education and household income. Americans with higher SES had better NHRPF and Healthy Eating Index scores. There were some small racial/ethnic differences in NHRPF, including making food choices and awareness of nutrition-related health risks. Multivariable linear and logistic regression models revealed some racial/ethnic differences in diet, exercise, and body mass index, but few of these disparities was explained by NHRPF, whereas SES explained some. The odds ratio of body mass index ≥25 for non-Hispanic blacks compared with whites decreased by 38% after SES was adjusted for. For exercise, we found a smaller change (9.5%) in the racial/ethnic differences when controlling for SES. In conclusion, NHRPF may explain very few, but SES may contribute some of the racial/ethnic disparities in diet, exercise, and weight status in the United States.     

Do nutrition knowledge and beliefs modify the association of socio-economic factors and diet quality among US adults?

OBJECTIVES: We examined effects of socio-economic status (SES) factors on diet quality and fruits and vegetables intake among US adults and effect modification by nutrition knowledge and beliefs. METHODS: We used national cross-sectional data (Continuing Survey of Food Intake by Individuals) on 4356 US adults, aged 20-65 years, collected in 1994-1996. Socio-economic factors considered were education and poverty income ratio. Nutrition knowledge and belief score was measured by principal components analysis of 11 question responses. We considered three binary and two continuous outcomes related to United States Department of Agriculture recommended intake of fruits and vegetables and overall diet quality through Healthy Eating Index and alternate Mediterranean Diet Score. RESULTS: Multivariate analyses indicated that better SES independently improved likelihood of adequate fruits and vegetables intake and overall diet quality. In several cases, nutrition knowledge and beliefs acted as an effect modifier. In particular, education showed no association with diet quality among subjects in the lowest nutrition knowledge and belief tertile, while the association was consistently stronger in the highest tertile (Education x Nutrition knowledge and beliefs interaction term P<0.10 for Healthy Eating Index and both fruits and vegetables guidelines). A similar interaction was noted for poverty income ratio. CONCLUSION: For improvement in overall diet quality, socio-economic interventions must be coupled with health education programs targeting all segments of the US population.     

Can gender differences in psychosocial factors be explained by socioeconomic status?

AIMS: The aims of this study were to examine (1) if associations between gender and psychosocial factors could be explained by socioeconomic status (SES) and (2) if associations between gender and psychosocial factors are more salient at lower levels of SES. METHODS: Psychosocial factors such as decision latitude and social integration were studied in a cross-sectional study in two steps. In a public health survey, 4,086 randomly selected men and women aged 30-64 participated. Of these, 257 men and women also participated in an in-depth study. SES was measured in terms of education and occupation. Linear regression models were used to test associations between gender, SES, and a broad range of psychosocial factors. RESULTS: Women reported lower scale scores on decision latitude, coping, and self-esteem, as well as more job strain, depression, and vital exhaustion, while men reported more cynicism (all p<0.05). Observed gender differences were still significant after control for effect of education, while after control for occupational status the effect of gender was lost for decision latitude and job strain. Significant interaction factors were found between gender and educational status for psychological demands, decision latitude, social integration, coping, and hopelessness. CONCLUSIONS: Gender differences, found for a broad range of psychosocial factors, could not be explained by SES. However, associations between gender and psychosocial factors were more salient at lower levels of SES. Psychosocial factors, especially decision latitude and social integration, may help explain why women with low SES experience poorer health.     

Who decides? Women's status and negotiation of sex in Uganda

Women's ability to negotiate the timing and conditions of sex with their partners is central to their ability to control a variety of reproductive health outcomes. Focus group discussions and survey data from 1356 women and their regular male partners in two districts in Uganda were analysed to explore the nature of sexual negotiation and to test hypotheses about the influence of women's work and marriage institutions on norms and behaviour regarding sexual decision making. Sexual negotiation is characterized by four stages starting with normative precedent for decision making about sex and progressing to communication, disagreement, and conflict resolution. Men are generally reported to have more influence over sex in these settings, but women can and do refuse sex under a variety of circumstances. Education and urban residence consistently enhance women's ability to negotiate sex. The effect of marriage and women's work characteristics depends strongly on district context. We speculate that certain types of bridewealth agreement inhibit a woman's ability to influence timing and conditions of sex independently of other 'bargaining' resources she may control.     

Do biomarkers of stress mediate the relation between socioeconomic status and health?

OBJECTIVES: To test the relation between socioeconomic status (SES) and biomarkers of chronic stress, including basal cortisol, and to test whether these biomarkers account for the relation between SES and health outcomes. DESIGN: Cross sectional study using data from the 2000 social and environmental biomarkers of aging study (SEBAS). SETTING: Taiwan. PARTICIPANTS: Nationally representative sample of 972 men and women aged 54 and older. MAIN OUTCOME MEASURES: Highest risk quartiles for 13 biomarkers representing functioning of the neuroendocrine system, immune/inflammatory systems, and the cardiovascular system: cortisol, adrenaline (epinephrine), noradrenaline (norepinephrine), serum dihydroepiandrosterone sulphate (DHEA-S), insulin-like growth factor 1 (IGF1), interleukin 6 (IL6), albumin, systolic blood pressure, diastolic blood pressure, waist-hip ratio, total cholesterol-HDL ratio, HDL cholesterol, and glycosylated haemoglobin; self reported health status (1-5) and self reported mobility difficulties (0-6). RESULTS: Lower SES men have greater odds of falling into the highest risk quartile for only 2 of 13 biomarkers, and show a lower risk for 3 of the 13 biomarkers, with no association between SES and cortisol. Lower SES women have a higher risk for many of the cardiovascular risk factors, but a lower risk for increased basal readings of adrenaline, noradrenaline, and cortisol. Inclusion of all 13 biological markers does not explain the relation between SES and health outcomes in the sample. CONCLUSIONS: These data do not support the hypothesis that chronic stress, via sustained activation of stress related autonomic and neuroendocrine responses, is an important mediator in the relation between SES and health outcomes. Most notably, lower SES is not associated with higher basal levels of cortisol in either men or women. These results place an increased burden of proof on researchers who assert that psychosocial stress is an important pathway linking SES and health.     

Why do women of low socioeconomic status have poorer dietary behaviours than women of higher socioeconomic status? A qualitative exploration

In developed countries, persons of low socioeconomic status (SES) are generally less likely to consume diets consistent with dietary guidelines. Little is known about the mechanisms that underlie SES differences in eating behaviours. Since women are often responsible for dietary choices within households, this qualitative study investigated factors that may contribute to socioeconomic inequalities in dietary behaviour among women. Semi-structured interviews were conducted with 19 high-, 19 mid- and 18 low- SES women, recruited from Melbourne, Australia, using an area-level indicator of SES. An ecological framework, in which individual, social and environmental level influences on diet were considered, was used to guide the development of interview questions and interpretation of the data. Thematic analysis was undertaken to identify the main themes emerging from the data. Several key influences varied by SES. These included food-related values such as health consciousness, and a lack of time due to family commitments (more salient among higher SES women), as well as perceived high cost of healthy eating and lack of time due to work commitments (more important for low SES women). Reported availability of and access to good quality healthy foods did not differ strikingly across SES groups. Public health strategies aimed at reducing SES inequalities in diet might focus on promoting healthy diets that are low cost, as well as promoting time-efficient food preparation strategies for all women.     

Who do you think you are? Medical student socioeconomic status and intention to work in underserved areas

A frequently cited rationale for increasing the participation of students from low socioeconomic status (SES) backgrounds is that it will create a workforce who will choose to work in low SES and medically underserviced communities. Two theoretical arguments, one that supports and one that contradicts this assumption, are proposed to explain the practice location intentions of medical students which we examine in a longitudinal analysis. SES background and future intentions of 351 applicants to an undergraduate medical degree were assessed at Time 1, with intentions re-assessed one year later for 96% of those who were enrolled as medical students. Students from very low (and very high) SES backgrounds indicated lower intention to practice in low SES or medically underserviced areas than those from mid-range SES backgrounds. Males and students from non-English speaking backgrounds indicated less desire to work in low SES areas, perhaps explained by high aspirational motivation. SES accounted for a relatively small amount of variance in practice intentions. Alternate predictors of practice location, including individual values and training effects, and their implications for selection practice, are discussed.     

Does socioeconomic status affect the association of social relationships and health? A moderator analysis

Background  

Social relations have repeatedly been found to be an important determinant of health. However, it is unclear whether the association between social relations and health is consistent throughout different status groups. It is likely that health effects of social relations vary in different status groups, as stated in the hypothesis of differential vulnerability. In this analysis we explore whether socioeconomic status (SES) moderates the association between social relations and health.     

What accounts for depressive symptoms among mothers? The impact of socioeconomic status,family structure and psychosocial stress

Objectives  

Based on a cross-sectional population survey of 3,129 women with minor children, it was analyzed how socioeconomic status, family structure and perceived psychosocial stress are linked and how they contributed to women’s self-reported depressive symptoms.     

Nutrition education in India—Impact on knowledge,behavior, and health status of students

We conducted a baseline survey in 2900 households drawn from 2 slums and 6 community development blocks (see note)—that is, 2 community development blocks from each of the 3 districts selected out of the 15 districts of Tamil Nadu (which is one of the 22 states [provinces] in India). Based on the findings of the survey, we identified priority concepts in nutrition and health education, and environmental sanitation. We incorporated these concepts into the existing elementary school curriculum and developed suitable instructional materials. We then provided a 5-day orientation for all of the 6000 teachers from the 660 elementary schools in the selected 6 community development blocks and 2 slums. The orientation training was carried out by instructors who had bachelor's degrees in education and master's degrees in nutrition. The trained elementary school teachers, in turn, taught the nutrition and health, and environmental sanitation lessons to their classes. We evaluated the knowledge of the children and teachers; the practices of the mothers with regard to food, health, and hygiene; and the anthropometric and clinical status of the children. For purposes of this study we limited our evaluations of the school children to students in classes 3–5 (equivalent to grades 3–5 in the U.S.). The encouraging results from this study pave the way for further expansion of the program throughout the state and in other states of the Indian Union Republic.     

Are occupational factors important determinants of socioeconomic inequalities in musculoskeletal pain?

OBJECTIVES: The aim of this study was to quantify socioeconomic inequalities in low-back pain, neck-shoulder pain, and arm pain in the general working population in Oslo and to examine the impact of job characteristics on these inequalities. METHODS: All economically active 30-, 40-, and 45-year-old persons who attended the Oslo health study in 2000-2001 and answered questions on physical job demands, job autonomy, and musculoskeletal pain were included (N=7293). Occupational class was used as an indicator of socioeconomic status. The lower occupational classes were compared with higher grade professionals, and prevalences, prevalence ratios, prevalence differences, and population attributable fractions were calculated. RESULTS: There were marked, stepwise socioeconomic gradients for musculoskeletal pain, steeper for the men than for the women. The relative differences (prevalence ratios) were larger for low-back pain and arm pain than for neck-shoulder pain. The absolute differences (prevalence differences) were the largest for low-back pain. Physical job demands explained a substantial proportion of the absolute occupational class inequalities in low-back pain, while job autonomy was more important in explaining the inequalities in neck-shoulder pain and arm pain. The estimated population attributable fractions supported the impact of job characteristics at the working population level, especially for low-back pain. CONCLUSIONS: In this cross-sectional study, physical job demands and job autonomy explained a substantial proportion of occupational class inequalities in self-reported musculoskeletal pain in the working population in Oslo. This finding indicates that the workplace may be an important arena for preventive efforts to reduce socioeconomic inequalities in musculoskeletal pain.     

Effects of socioeconomic factors and human activities on children’s PM10 exposure in inner-city households in Korea

Purpose  

In this study, we investigated how socioeconomic factors contributed to airborne PM₁₀ concentrations in living rooms and children’s bedrooms in 50 homes in Korea from July to September 2008.     

Can subjective and objective socioeconomic status explain minority health disparities in Israel?

Disparities in health exist between the three main population groups in Israel, non-immigrant Jews, immigrants from the former Soviet Union (arriving in Israel since 1990) and Arabs. This study examines the relationship between health and socioeconomic status in this multicultural population and assesses to what extent subjective and objective socioeconomic measures may explain the disparities in health. A random cross sectional telephone survey of 1004 Israelis aged 35–65 was performed. The questionnaire measured physical and mental health-related quality of life using the Short Form 12. Information regarding subjective socioeconomic status (SSS) and objective socioeconomic status (SES) was collected.Arabs and immigrant women from the former Soviet Union had worse physical health compared to non-immigrant Jews. Immigrant and Arab men and women had worse mental health compared to non-immigrant Jews. Multivariable log-linear regression analysis adjusting for age, SSS or SES explained the disparities in physical health between Arab and non-immigrant Jewish men. However, SSS and SES did not explain the disparities in physical health between the three groups of women. The disparities in mental health between immigrants and non-immigrant Jews can be explained by SSS for both men and women, whereas the disparities between Arabs and Jews can be explained by objective SES only among women. Employed men reported better physical and mental health. Part of the disparities in mental health in Israel can be attributed to differences in SSS and SES in the different groups. However, there is a need to identify additional factors that may add to the disparities in both physical and mental health. The disparities due to socioeconomic status vary by health measure and population group.     

Does stage at diagnosis influence the observed relationship between socioeconomic status and breast cancer incidence, case-fatality, and mortality?

Historically, lower socioeconomic status (SES) has been reported to be associated with decreased breast cancer incidence and mortality and increased case-fatality, although recent trends in breast cancer screening and treatment may alter these relationships. This study assessed the associations between SES and breast cancer incidence, case-fatality, and mortality by stage of disease at diagnosis using recent data in the United States. Breast cancer incidence and survival data from the Surveillance, Epidemiology, and End Results (SEER) tumor registry for black and white women aged 55 and above were linked to county level SES and population data based on place of residence. Poisson regression was used to calculate age-adjusted relative rates associated with SES levels and breast cancer incidence, case-fatality, and mortality. As SES decreased, localized breast cancer incidence rates decreased, while incidence rates of distant disease increased. Five-year localized and regional breast cancer case-fatality rates increased as SES decreased. Localized breast cancer mortality rates decreased as SES declined, whereas regional breast cancer mortality rates tended to increase. These results confirm some previously reported findings and suggest that associations between lower SES and lower localized breast cancer mortality rates are influenced mainly by underlying associations between SES and localized breast cancer incidence, whereas regional breast cancer mortality rates appear to reflect the underlying association between SES and regional case-fatality rates.     

Do health behaviors moderate the effect of socioeconomic status on metabolic syndrome?

PURPOSE: The purpose of this study is to determine whether the effect of socioeconomic factors on metabolic syndrome is influenced by such covariates as health behavior and psychosocial factors. METHODS: This study used data collected from 4400 households during the 2001 Korea National Health and Nutrition Examination Survey. A stratified multistage probability sampling method was applied and the final sample included 6601 subjects older than 20 years who had completed necessary health examinations. RESULTS: The prevalence of metabolic syndrome in Koreans was 25.5% (95% confidence interval [CI], 23.8-27.2) for men and 28.7% (95% CI, 27.2-30.2) for women. Analysis of moderator effects showed that interactions between education and smoking or exercise status and between income and alcohol or smoking status were significant. The significance of the interaction terms indicates that health behavior and psychosocial factors modified the relationship between socioeconomic factors and metabolic syndrome. CONCLUSIONS: Results of this study provide evidence that such behaviors as smoking, drinking alcohol, and insufficient exercise contribute to the incidence of metabolic syndrome. Changes to higher socioeconomic status may not reduce the odds of metabolic syndrome unless behavior also is adapted.