Neighbourhood influences on health.
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Epidemiologic Measurements↗
Biomedical subjects
S V Subramanian
Publications and source records attributed to S V Subramanian.
Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000.
BACKGROUND: In Australia, studies finding an association between area-level socioeconomic disadvantage and mortality are often based on aggregate-ecological designs which confound area-level and individual-level sources of socioeconomic variation. Area-level socioeconomic differences in mortality therefore may be an artefact of varying population compositions and not the characteristics of areas as such. OBJECTIVE: To examine the associations between area-level disadvantage and all-cause mortality before and after adjustment for within-area variation in individual-level socioeconomic position (SEP) using unlinked census and mortality-register data in a multilevel context. Setting, participants and DESIGN: The study covers the total Australian continent for the period 1998-2000 and is based on decedents aged 25-64 years (n = 43,257). The socioeconomic characteristics of statistical local areas (SLA, n = 1317) were measured using an index of relative socioeconomic disadvantage, and individual-level SEP was measured by occupation. RESULTS: Living in a disadvantaged SLA was associated with higher all-cause mortality after adjustment for within-SLA variation in occupation. Death rates were highest for blue-collar workers and lowest among white-collar employees. Cross-level interactions showed no convincing evidence that SLA disadvantage modified the extent of inequality in mortality between the occupation groups. CONCLUSIONS: Multilevel analysis can be used to examine area variation in mortality using unlinked census and mortality data, therefore making it less necessary to use aggregate-ecological designs. In Australia, area-level and individual-level socioeconomic factors make an independent contribution to the probability of premature mortality. Policies and interventions to improve population health and reduce mortality inequalities should focus on places as well as people.
Adult↗
Does social capital enhance health and well-being? Evidence from rural China.
Despite increasing acknowledgement that social capital is an important determinant of health and overall well-being, empirical evidence regarding the direction and strength of these linkages in the developing world is limited and inconclusive. This paper empirically examines relationships between social capital and health and well-being-as well as the suitability of commonly used social capital measures-in rural China, where rapid economic growth coexists with gradual and fundamental social changes. To measure social capital, we adopt a structural/cognitive distinction, whereby structural social capital is measured by organizational membership and cognitive social capital is measured by a composite index of trust, reciprocity, and mutual help. Our outcome measures included self-reported general health, psychological health, and subjective well-being. We adopt multi-level estimation methods to account for our conceptualization of social capital as both an individual- and contextual-level resource. Results indicate that cognitive social capital (i.e., trust) is positively associated with all three outcome measures at the individual level and psychological health/subjective well-being at the village level as well. We further find that trust affects health and well-being through pathways of social network and support. In contrast, there is little statistical association or consistent pattern between structural social capital (organizational membership) and the outcome variables. Furthermore, although organizational membership is highly correlated with collective action, neither is associated with health or well-being. Our results suggest that policies aimed at producing an environment that enhances social networks and facilitates the exchange of social support hold promise for improving the health and well-being of the rural Chinese population. In addition, China may not have fully taken advantage of the potential contribution of structural social capital in advancing health and well-being. A redirection of collective action from economic to social activities may be worth considering.
Adolescent↗
Comparing individual- and area-based socioeconomic measures for the surveillance of health disparities: A multilevel analysis of Massachusetts births, 1989-1991.
The absence of individual-level socioeconomic information in most US health surveillance data necessitates using area-based socioeconomic measures (ABSMs) to monitor health inequalities. Using the 1989-1991 birth weight data from Massachusetts, the authors compared estimates of health disparities detected with census tract- and block group-level ABSMs pertaining to poverty and education, as well as parental education, both independently and together. In separate models, adjusted for infant's sex, mother's age, and parents' race/ethnicity, worst-off categories of census tract ABSMs and parental education had a comparable birth weight deficit of approximately 70 g. Similar results were observed for low birth weight (<2,500 g), with worst-off categories of census tract ABSMs and parental education having an odds ratio of approximately 1.37 (p < 0.001). In mutually adjusted models for birth weight and low birth weight, census tract ABSMs still detected an effect estimate nearly 50% of that detected by parental education. Additionally, census tract ABSMs detected socioeconomic gradients in birth weight among births to mothers aged less than 25 years, an age group in which educational attainment is unlikely to be completed. These results suggest that aptly chosen ABSMs can be used to monitor socioeconomic inequalities in health. The risk, if any, in the absence of individual-level socioeconomic information is a conservative estimate of socioeconomic inequalities in health.
Adolescent↗
Orphan care in Botswana's working households: growing responsibilities in the absence of adequate support.
OBJECTIVES: Botswana has one of the world's highest HIV-prevalence rates and the world's highest percentages of orphaned children among its population. We assessed the ability of income-earning households in Botswana to adequately care for orphans. METHODS: We used data from the Botswana Family Health Needs Study (2002), a sample of 1033 working adults with caregiving responsibilities who used public services, to assess whether households with orphan-care responsibilities encountered financial and other difficulties. Thirty-seven percent of respondents provided orphan care, usually to extended family members. We applied logistic regression models to determine the factors associated with experiencing problems related to orphan caregiving. RESULTS: Nearly half of working households with orphan-care responsibilities reported experiencing financial and other difficulties because of orphan care. Issues of concern included caring for multiple orphans, caring for sick adults and orphans simultaneously, receiving no assistance, and low income. CONCLUSIONS: The orphan crisis is impoverishing even working households, where caregivers lack sufficient resources to provide basic needs. Neither the public sector nor communities provide adequate safety nets. International assistance is critical to build capacity within the social welfare infrastructure and to fund community-level activities that support households. Lessons from Botswana's orphan crisis can provide valuable insights to policymakers throughout sub-Saharan Africa.
Adolescent↗
Monitoring socioeconomic disparities in death: comparing individual-level education and area-based socioeconomic measures.
We compared all-cause mortality rates stratified by individual-level education and by census tract area-based socioeconomic measures for Massachusetts (1999-2001). Among persons aged 25 and older, the age-adjusted relative index of inequality was slightly higher for the census tract than for the individual education measures (1.5 vs 1.2, respectively). Only the census tract socioeconomic measures could provide a relative index of inequality (2-3) for deaths before age 25 or detect expected socioeconomic disparities for deaths among persons 65 and older (relative index of inequality= approximately 1.2 vs 0.8 for census tract measures and individual education, respectively).
Adolescent↗
Individual, neighborhood, and state-level predictors of smoking among US Black women: a multilevel analysis.
Baseline data from the Black Women's Health Study (BWHS) were analyzed to assess the relation of smoking to individual, neighborhood, and state socioeconomic characteristics. Data on smoking status and individual socioeconomic characteristics were obtained via a self-administered postal questionnaire at entry. Neighborhood characteristics of 41,726 never and current smokers were obtained by linking participants' addresses with census tract data from the 1990 US Census. In a multilevel logistic regression model, higher neighborhood poverty was associated with increased smoking prevalence after adjusting for age, education, marital status, and occupation at the individual level, and percent high school graduate, percent college graduate, and percentage Black at the neighborhood level. Relative to women residing in neighborhoods with less than 5% of the residents below the poverty line, the odds ratio was 1.1 (95% confidence interval: 1.0-1.2) for women in neighborhoods with 5-9.9% of the residents below the poverty line, 1.3 (1.2-1.4) for women in neighborhoods with 10-19.9% of the residents below the poverty line, and 1.6 (1.5-1.8) for women in neighborhoods with 20% or more of the residents below poverty. State of residence was also significantly associated with prevalence of current smoking. These results suggest that contextual factors (at both the neighborhood and state level) play a role in Black women's smoking behaviors over and above individual characteristics.
Adult↗
Social environment and physical activity: a review of concepts and evidence.
The rapidly growing and evolving literature on the social environment and its influence on health outcomes currently lacks a clear taxonomy of dimensions of the social environment and the differing mechanisms through which each influences health-related behavior. This paper identifies five dimensions of the social environment-social support and social networks, socioeconomic position and income inequality, racial discrimination, social cohesion and social capital, and neighborhood factors-and considers each in the context of physical activity to illustrate important differences between them. Increasing the specificity of terminology and methods in social environmental research on health will enable more systematic inquiry and accelerate the rate of scientific discovery in this important area.
Health Behavior↗
US state- and county-level social capital in relation to obesity and physical inactivity: a multilevel, multivariable analysis.
Although social capital has been linked to a variety of health outcomes, its association with obesity has yet to be elucidated. This study explored the relations between social capital measured at the US state and county levels and individual obesity and leisure-time physical inactivity. Individual-level data were drawn from the 2001 Behavioral Risk Factor Surveillance System survey, while data from other surveys and administrative sources were used to construct contextual measures. Two state-level social capital scales were derived from 10 indicators and two county-level scales from five indicators. In 2-level analyses of over 167,000 adults nested within 48 states plus the District of Columbia, residence in a state above the median on one or both state social capital scales (vs. neither scale) was associated with lower relative odds of obesity and physical inactivity, controlling for individual-level covariables and state-level estimates of mean household income, the Gini coefficient, and the percentage of Black residents. In 3-level analyses, the adjusted odds ratio (OR) for physical inactivity associated with residence in a county above the median on one or both county social capital scales was significantly below 1, while the association with obesity was not significant. Significantly weaker inverse ORs for the relations between state- and county-level social capital and obesity were observed among American Indians/Alaska Natives compared to Whites. Meanwhile, little support was found for mediation by social capital of the associations of urban sprawl and income inequality with obesity or physical inactivity. Overall, this study provides some evidence for the promotion of social capital as a potential strategy for addressing the burgeoning obesity epidemic.
Adult↗
The mortality divide in India: the differential contributions of gender, caste, and standard of living across the life course.
OBJECTIVES: We investigated the contributions of gender, caste, and standard of living to inequalities in mortality across the life course in India. METHODS: We conducted a multilevel cross-sectional analysis of individual mortality, using the 1998-1999 Indian National Family Health Survey data for 529321 individuals from 26 states. RESULTS: Substantial mortality differentials were observed between the lowest and highest standard-of-living quintiles across all age groups, ranging from an odds ratio (OR) of 4.61 (95% confidence interval [CI]=2.98, 7.13) in the age group 2 to 5 years to an OR of 1.97 (95% CI=1.68, 2.32) in the age group 45 to 64 years. Excess mortality for girls was evident only for the age group 2 to 5 years (OR=1.33, 95% CI=1.13, 1.58). Substantial caste differentials were observed at the beginning and end stages of life. Area variation in mortality is partially a result of the compositional effects of household standard of living and caste. CONCLUSIONS: The mortality burden, across the life course in India, falls disproportionately on economically disadvantaged and lower-caste groups. Residual state-level variation in mortality suggests an underlying ecology to the mortality divide in India.
Adolescent↗
Does area-based social capital matter for the health of Australians? A multilevel analysis of self-rated health in Tasmania.
BACKGROUND: Material circumstances and collective psychosocial processes have been invoked as potential explanations for socioeconomic inequalities in health; and, linking social capital has been proposed as a way of reconciling these apparently opposing explanations. METHODS: We conducted multilevel logistic regression of self-rated health (fair or poor vs excellent, very good, or good) on 14 495 individuals living within 41 statistical local areas who were respondents to the 1998 Tasmanian Healthy Communities Study. We modelled the effects of area-level socioeconomic disadvantage and social capital (neighbourhood integration, neighbourhood alienation, neighbourhood safety, social trust, trust in public/private institutions, and political participation), and adjusted for the effects of individual characteristics. RESULTS: Area-level socioeconomic disadvantage was associated with poor self-rated health (beta = 0.0937, P < 0.001) an effect that was attenuated, but remained significant, after adjusting for individual characteristics (beta = 0.0419, P < 0.001). Social trust was associated with a reduction in poor self-rated health (beta = -0.0501, p = 0.008) and remained significant when individual characteristics (beta = -0.0398, P = 0.005) were included. Political participation was non-significant in the unadjusted model but became significant when adjusted for individual characteristics (beta = -0.2557, P = 0.045). The effects of social trust and political participation were attenuated and became non-significant when area-level socioeconomic disadvantage was included. CONCLUSION: Area-based socioeconomic disadvantage is a determinant of self-rated health in Tasmania, but we did not find an independent effect of area-level social capital. These findings suggest that in Tasmania investments in improving the material circumstances in which people live are likely to lead to greater improvements in population health than attempts to increase area-level social capital.
Adolescent↗
Individual-, neighborhood-, and state-level socioeconomic predictors of cervical carcinoma screening among U.S. black women: a multilevel analysis.
BACKGROUND: Cervical carcinoma is the fifth most common cancer among African American women in the U.S. Although the Papanicolaou (Pap) smear is an efficacious screening tool in the early detection of the disease, disparities are known to persist in the utilization of this procedure across socioeconomic groups. METHODS: Data regarding cervical carcinoma screening and covariates were obtained from the 59,090 Black Women's Health Study participants across the U.S. via a mailed questionnaire in 1995. Logistic regression and multilevel techniques were used to assess the independent effects of the covariates on nonrecent cervical carcinoma screening. RESULTS: In all, 8.3% of the 40,009 women in the present analysis had not undergone a Pap smear examination within the previous 2 years (nonrecent screening). Lower educational attainment, older age, obesity, smoking, and neighborhood poverty were found to be independently related to increased risk of nonrecent screening. The adjusted odds ratio for nonrecent screening was 1.2 (95% confidence interval [95% CI], 1.1-1.4) for women residing in neighborhoods with 20% or more poverty compared with those in neighborhoods with less than 5% poverty. State of residence was also associated with nonrecent cervical carcinoma screening. CONCLUSION: These results suggest that among black women, residence in high-poverty (20%) neighborhoods is associated with an increased risk of nonrecent cervical carcinoma screening, independent of individual level risk factors.
Adult↗
Measuring and modeling the social and geographic context of trauma: a multilevel modeling approach.
Increasingly it is recognized that health and illness are products of individual level risk and protective factors, as well as forces operating at contextual levels. In this article, we present the motivation and rationale for understanding trauma within its context. We use the example of the concept of social capital to illustrate the relevance of the contextual approach for trauma research and outline a multilevel modeling approach to examining contextual influences on trauma outcomes.
Disasters↗
Mapping and measuring social disparities in premature mortality: the impact of census tract poverty within and across Boston neighborhoods, 1999-2001.
The identification and documentation of health disparities are important functions of public health surveillance. These disparities, typically falling along lines defined by gender, race/ethnicity, and social class, are often made visible in urban settings as geographic disparities in health between neighborhoods. Recognizing that premature mortality is a powerful indicator of disparities in both health status and access to health care that can readily be monitored using routinely available public health surveillance data, we undertook a systematic analysis of spatial variation in premature mortality in Boston (1999-2001) across neighborhoods and sub-neighborhoods in relation to census tract (CT) poverty. Using a multilevel model based framework, we estimated that the incidence of premature mortality was 1.39 times higher (95% credible interval 1.09-1.78) among persons living in the most economically deprived CTs (>/=20% below poverty) compared to those in the least impoverished tracts (<5% below poverty). We present maps of model-based standardized mortality ratios that show substantial within-neighborhood variation in premature mortality and a sizeable decrease in spatial variation after adjustment for CT poverty. Additionally, we present maps of model-based direct standardized rates that can more readily be compared to externally published rates and targets, as well as maps of the population attributable fraction that show that in some of Boston's poorest neighborhoods, the proportion of excess deaths associated with CT poverty reaches 25-30%. We recommend that these methods be incorporated into routine analyses of public health surveillance data to highlight continuing social disparities in premature mortality.
Adolescent↗
Patterns, distribution, and determinants of under- and overnutrition: a population-based study of women in India.
BACKGROUND: Little systematic evidence exists for the relation between socioeconomic position and nutritional status in countries experiencing the simultaneous presence of under- and overnutrition. OBJECTIVE: We investigated the socioeconomic distribution of nutritional status in India and whether state-level macroeconomic factors modify the relation between socioeconomic position and nutritional status. DESIGN: Our analysis was based on a nationally representative sample of 77 220 women from India, with multiple categories of body mass index (BMI; in kg/m2) as the outcome, namely, <18.5 (underweight), 23-24.9 (pre-overweight), 25-29.9 (overweight), or > or =30 (obese), with 18.5-22.9 as the reference category. RESULTS: In adjusted models, being underweight was inversely related to socioeconomic position, whereas socioeconomic position was positively related to being pre-overweight, overweight, and obese, and the socioeconomic gradient was most marked for obesity. State-level measures of affluence did not modify the positive association between socioeconomic position and categories of overweight. The risk of underweight was lower in affluent states, but this was seen mainly in women of high socioeconomic position. CONCLUSIONS: Undernutrition and overnutrition are epidemics of the impoverished and the affluent, respectively, in India, and this association is consistent at the individual and ecologic levels. Policies should focus on the complex patterns of social distribution of both under- and overnutrition in the Indian context.
Adolescent↗
Neighborhood effects on the self-rated health of elders: uncovering the relative importance of structural and service-related neighborhood environments.
OBJECTIVES: The purpose of this study was to investigate the independent relationship between neighborhood context (characterized through age structure, economic conditions, service provision, and residential stability) and self-reported health among elders in one U.S. city. METHODS: By using multilevel statistical models, we examined the cross-sectional relationships between markers of neighborhood environment (derived from the 1980 U.S. Census and the Yellow Pages of the 1985 New Haven, Connecticut, telephone book) and self-rated health among elders. We used survey data from the 1985 New Haven Established Populations for Epidemiologic Studies of the Elderly, which comprised 1,926 elders nested within 28 census tracts. RESULTS: When controlled for individual age, gender, race, marital status, education, and income, neighborhood measures of percent poverty were positively associated with poor self-rated health (odds ratio [OR] = 1.09; 95% confidence interval [CI] = 1.02-1.17), whereas residential stability (OR = 0.90; 95% CI = 0.84-0.96) and concentration of elders (OR = 0.82; 95% CI = 0.72-0.94) were inversely associated with poor self-rated health. Neighborhood service density was not associated with self-rated health. DISCUSSION: We found support for the role of neighborhood structural context (reflected through measures of poverty, residential stability, and age-based demographic concentration) in predicting the health of elders. Density of neighborhood services did not appear to have an independent effect on the self-rated health of elders.
Aged↗
Bonding versus bridging social capital and their associations with self rated health: a multilevel analysis of 40 US communities.
STUDY OBJECTIVE: Few studies have distinguished between the effects of different forms of social capital on health. This study distinguished between the health effects of summary measures tapping into the constructs of community bonding and community bridging social capital. DESIGN: A multilevel logistic regression analysis of community bonding and community bridging social capital in relation to individual self rated fair/poor health. SETTING: 40 US communities. PARTICIPANTS: Within community samples of adults (n = 24 835), surveyed by telephone in 2000-2001. MAIN RESULTS: Adjusting for community sociodemographic and socioeconomic composition and community level income and age, the odds ratio of reporting fair or poor health was lower for each 1-standard deviation (SD) higher community bonding social capital (OR = 0.86; 95% = 0.80 to 0.92) and each 1-SD higher community bridging social capital (OR = 0.95; 95% CI = 0.88 to 1.02). The addition of indicators for individual level bonding and bridging social capital and social trust slightly attenuated the associations for community bonding social capital (OR = 0.90, 95% CI = 0.84 to 0.97) and community bridging social capital (OR = 0.96, 95% CI = 0.89 to 1.03). Individual level high formal bonding social capital, trust in members of one's race/ethnicity, and generalised social trust were each significantly and inversely related to fair/poor health. Furthermore, significant cross level interactions of community social capital with individual race/ethnicity were seen, including weaker inverse associations between community bonding social capital and fair/poor health among black persons compared with white persons. CONCLUSIONS: These results suggest modest protective effects of community bonding and community bridging social capital on health. Interventions and policies that leverage community bonding and bridging social capital might serve as means of population health improvement.
Adult↗
Does gender modify associations between self rated health and the social and economic characteristics of local environments?
OBJECTIVES: To examine whether area level socioeconomic disadvantage and social capital have different relations with women's and men's self rated health. METHODS: The study used data from 15 112 respondents to the 1998 Tasmanian (Australia) healthy communities study (60% response rate) nested within 41 statistical local areas. Gender stratified analyses were conducted of the associations between the index of relative socioeconomic disadvantage (IRSD) and social capital (neighbourhood integration, neighbourhood alienation, neighbourhood safety, political participation, social trust, trust in institutions) and individual level self rated health using multilevel logistic regression analysis before (age only) and after adjustment for individual level confounders (marital status, indigenous status, income, education, occupation, smoking). The study also tested for interactions between gender and area level variables. RESULTS: IRSD was associated with poor self rated health for women (age adjusted p<0.001) and men (age adjusted p<0.001), however, the estimates attenuated when adjusted for individual level variables. Political participation and neighbourhood safety were protective for women's self rated health but not for men's. Interactions between gender and political participation (p = 0.010) and neighbourhood safety (p = 0.023) were significant. CONCLUSIONS: These finding suggest that women may benefit more than men from higher levels of area social capital.
Adolescent↗