Person: Subramanian, Sankaran
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Subramanian
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Sankaran
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Subramanian, Sankaran
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Publication Global Burden of Double Malnutrition: Has Anyone Seen It?(Public Library of Science, 2011) Corsi, Daniel; Finlay, Jocelyn; Subramanian, SankaranBackground. Low- to middle-income countries (LMICs) are believed to be characterized by the coexistence of underweight and overweight. It has also been posited that such coexistence is appearing among the low socioeconomic status (SES) groups. Methods. We conducted a cross-sectional analysis of nationally representative samples of 451321 women aged 20–49 years drawn from 57 Demographic and Health Surveys conducted between 1994 and 2008. Body Mass Index (BMI in \(kg/m^2\)), was used to define underweight and overweight following conventional cut-points. Covariates included age, household wealth, education, and residence. We estimated multinomial multilevel models to assess the extent to which underweight \((BMI<18.5 kg/m^2)\) and overweight \((BMI≥25.0 kg/m^2)\) correlate at the country-level, and at the neighborhood-level within each country. Results. In age-adjusted models, there was a strong negative correlation between likelihood of being underweight and overweight at country- (r = −0.79, p<0.001), and at the neighborhood-level within countries (r = −0.51, P<0.001). Negative correlations ranging from −0.11 to −0.90 were observed in 46 of the 57 countries at the neighborhood-level and 29/57 were statistically significant \((p\leq 0.05)\). Similar negative correlations were observed in analyses restricted to low SES groups. Finally, the negative correlations across countries, and within-countries, appeared to be stable over time in a sub-set of 36 countries. Conclusion. The explicitly negative correlations between prevalence of underweight and overweight at the country-level and at neighborhood-level suggest that the hypothesized coexistence of underweight and overweight has not yet occurred in a substantial manner in a majority of LMICs.Publication Clustered risk: An ecological understanding of sexual activity among adolescent boys and girls in two urban slums in Monrovia, Liberia(Elsevier BV, 2019-03) Gausman, Jewel; Lloyd, Danielle; Kallon, Thomas; Subramanian, Sankaran; Langer, Ana; Austin, SydneyMany young people experience sexual debut before they are able to manage risk in order to avoid adverse consequences. Gender norms, social position, and power can undermine an adolescent's ability to exercise agency in their first sexual encounters and negotiate safer sexual behavior. This study examines the intersection of psychosocial and interpersonal factors with the social and physical environment to form an ecological understanding of how the determinants that shape sexual activity differ between boys and girls in two urban slums in Monrovia, Liberia. This study focuses on three different levels: 1) intrapersonal and psychosocial factors, 2) the role of the family and other interpersonal relationships, and 3) the overall community structure. Fifty-three adolescents aged 15–17 years (27 males and 26 females) were recruited to participate in a concept mapping exercise. Concept mapping is a participatory research method that uses both qualitative and quantitative approaches through 1) group discussion, 2) brainstorming, 3) sorting factors into meaningful clusters, and 4) interpretation of the results to create a visual map. Cluster maps include both positive and negative factors that participants believe to influence adolescent sexual activity in their communities, including parental pressure, transactional sex, family status, goals and aspirations, and poverty. The influence of these factors diverged according to participant gender. Participants described how psychosocial, interpersonal, family, and community factors interact with economic and social forces to influence their sexual experience and combine to exacerbate the prevalence of transactional and forced sex. The results highlight the need for multi-level interventions to shape adolescent sexual and reproductive health in positive, rather than harmful, ways.Publication Opposite associations of household income with adolescent body mass index according to migrant status: Hong Kong’s “Children of 1997” birth cohort(Springer Nature, 2018) Kwok, Man Ki; Schooling, C. Mary; Subramanian, Sankaran; Leung, Gabriel M.; Kawachi, IchiroBackground/objectives: In economically developed settings, household income is usually inversely associated with child and adolescent adiposity, but this association may not extend to migrants. Hong Kong is a unique developed setting to study how household income and adolescent adiposity vary by migrant status given many Hong Kong-born Chinese children were born to parents who migrated from neighboring provinces of Mainland China. Subjects/methods: We examined differences between the associations of absolute household income vs. relative household income on adolescent body mass index (BMI) z-score or overweight (including obesity) status using a linear or logistic model in a Chinese birth cohort (n = 5613, 68% follow-up). We focused on whether the associations differed by mother’s or father’s migrant status (birthplace). Results: No association was found between absolute household income and BMI z-score among adolescents with either native or migrant mothers. However, the association of relative household income with BMI z-score varied by mother’s migrant status (P-values for interaction <0.0005). In adolescents of native born mothers, greater relative household income deprivation was associated with higher BMI z-score (0.03 z-score per USD 128 difference in Yitzhaki index, 95% confidence interval (CI) 0.01 to 0.05). However, in adolescents of migrant mothers, greater relative household income deprivation was associated with lower BMI z-score (−0.05, 95% CI −0.09 to −0.01). Similar association of relative household income with overweight (including obesity) status was found in adolescents of native born mothers but not in adolescents of migrant mothers. Conclusions: Relative income (mediated by social comparisons with others in society) appears to be relevant to adolescent adiposity, but the association depends on the interplay between individual characteristics (migrant background) and societal context.Publication A review of the evidence linking child stunting to economic outcomes(Oxford University Press (OUP), 2017-03-30) Mark McGovern; Krishna, Aditi; Aguayo, Victor; Subramanian, SankaranPublication Change in the Body Mass Index Distribution for Women: Analysis of Surveys from 37 Low- and Middle-Income Countries(Public Library of Science (PLoS), 2013) Razak, Fahad; Corsi, Daniel; Subramanian, SankaranBackground There are well-documented global increases in mean body mass index (BMI) and prevalence of overweight (BMI≥25.0 kg/m2) and obese (BMI≥30.0 kg/m2). Previous analyses, however, have failed to report whether this weight gain is shared equally across the population. We examined the change in BMI across all segments of the BMI distribution in a wide range of countries, and assessed whether the BMI distribution is changing between cross-sectional surveys conducted at different time points. Methods and Findings We used nationally representative surveys of women between 1991–2008, in 37 low- and middle-income countries from the Demographic Health Surveys ([DHS] n = 732,784). There were a total of 96 country-survey cycles, and the number of survey cycles per country varied between two (21/37) and five (1/37). Using multilevel regression models, between countries and within countries over survey cycles, the change in mean BMI was used to predict the standard deviation of BMI, the prevalence of underweight, overweight, and obese. Changes in median BMI were used to predict the 5th and 95th percentile of the BMI distribution. Quantile-quantile plots were used to examine the change in the BMI distribution between surveys conducted at different times within countries. At the population level, increasing mean BMI is related to increasing standard deviation of BMI, with the BMI at the 95th percentile rising at approximately 2.5 times the rate of the 5th percentile. Similarly, there is an approximately 60% excess increase in prevalence of overweight and 40% excess in obese, relative to the decline in prevalence of underweight. Quantile-quantile plots demonstrate a consistent pattern of unequal weight gain across percentiles of the BMI distribution as mean BMI increases, with increased weight gain at high percentiles of the BMI distribution and little change at low percentiles. Major limitations of these results are that repeated population surveys cannot examine weight gain within an individual over time, most of the countries only had data from two surveys and the study sample only contains women in low- and middle-income countries, potentially limiting generalizability of findings. Conclusions Mean changes in BMI, or in single parameters such as percent overweight, do not capture the divergence in the degree of weight gain occurring between BMI at low and high percentiles. Population weight gain is occurring disproportionately among groups with already high baseline BMI levels. Studies that characterize population change should examine patterns of change across the entire distribution and not just average trends or single parameters.Publication Environmental Profile of a Community's Health (EPOCH): An Instrument to Measure Environmental Determinants of Cardiovascular Health in Five Countries(Public Library of Science (PLoS), 2010) Chow, Clara K.; Lock, Karen; Madhavan, Manisha; Corsi, Daniel; Gilmore, Anna B.; Subramanian, Sankaran; Li, Wei; Swaminathan, Sumathi; Lopez-Jaramillo, Patricio; Avezum, Alvaro; Lear, Scott A.; Dagenais, Gilles; Teo, Koon; McKee, Martin; Yusuf, SalimBackground The environment in which people live is known to be important in influencing diet, physical activity, smoking, psychosocial and other risk factors for cardiovascular (CV) disease. However no instrument exists that evaluates communities for these multiple environmental factors and is suitable for use across different communities, regions and countries. This report describes the design and reliability of an instrument to measure environmental determinants of CV risk factors. Method/Principal Findings The Environmental Profile of Community Health (EPOCH) instrument comprises two parts: (I) an assessment of the physical environment, and (II) an interviewer-administered questionnaire to collect residents' perceptions of their community. We examined the inter-rater reliability amongst 3 observers from each region of the direct observation component of the instrument (EPOCH I) in 93 rural and urban communities in 5 countries (Canada, Colombia, Brazil, China and India). Data collection using the EPOCH instrument was feasible in all communities. Reliability of the instrument was excellent (Intraclass Correlation Coefficient - ICC>0.75) for 24 of 38 items and fair to good (ICC 0.4–0.75) for 14 of 38 items. Conclusion This report shows data collection with the EPOCH instrument is feasible and direct observation of community measures reliable. The EPOCH instrument will enable further research on environmental determinants of health for population studies from a broad range of settings.Publication Role of health in predicting moves to poor neighborhoods among Hurricane Katrina survivors(Proceedings of the National Academy of Sciences, 2014) Arcaya, Mariana; Subramanian, Sankaran; Rhodes, Jean E.; Waters, MaryIn contrast to a large literature investigating neighborhood effects on health, few studies have examined health as a determinant of neighborhood attainment. However, the sorting of individuals into neighborhoods by health status is a substantively important process for multiple policy sectors. We use prospectively collected data on 569 poor, predominantly African American Hurricane Katrina survivors to examine the extent to which health problems predicted subsequent neighborhood poverty. Our outcome of interest was participants’ 2009-2010 census tract poverty rate. Participants were coded as having a health problem at baseline (2003-2004) if they self-reported a diagnosis of asthma, high blood pressure, diabetes, high cholesterol, heart problems, or any other physical health problems not listed, or complained of back pain, migraines, or digestive problems at baseline. While health problems were not associated with neighborhood poverty at baseline, those with baseline health problems ended up living in higher poverty areas by 2009-2010. Differences persisted after adjustment for personal characteristics, baseline neighborhood poverty, hurricane exposure, and residence in the New Orleans metropolitan area, with baseline health problem(s) predicting a 3.4 percentage point higher neighborhood poverty rate (95% CI: 1.41,5.47). Results suggest that better health was protective against later neighborhood deprivation in a highly mobile, socially vulnerable population. Researchers should consider reciprocal associations between health and neighborhoods when estimating and interpreting neighborhood effects on health. Understanding whether and how poor health impedes poverty deconcentration efforts may help inform programs and policies designed to help low income families move to, and stay in, higher opportunity neighborhoods.Publication ‘Fish out of water’: a cross-sectional study on the interaction between social and neighbourhood effects on weight management behaviours(Nature Publishing Group, 2014) Green, M A; Subramanian, Sankaran; Strong, M; Cooper, C L; Loban, A; Bissell, PObjective: To analyse whether an individual’s neighbourhood influences the uptake of weight management strategies and whether there is an interaction between individual socio-economic status and neighbourhood deprivation. Methodology: Data were collected from the Yorkshire Health Study (2010–2012) for 27 806 individuals on the use of the following weight management strategies: ‘slimming clubs’, ‘healthy eating’, ‘increasing exercise’ and ‘controlling portion size’. A multi-level logistic regression was fit to analyse the use of these strategies, controlling for age, sex, body mass index, education, neighbourhood deprivation and neighbourhood population turnover (a proxy for neighbourhood social capital). A cross-level interaction term was included for education and neighbourhood deprivation. Lower Super Output Area was used as the geographical scale for the areal unit of analysis. Results: Significant neighbourhood effects were observed for use of ‘slimming clubs’, ‘healthy eating’ and ‘increasing exercise’ as weight management strategies, independent of individual- and area-level covariates. A significant interaction between education and neighbourhood deprivation was observed across all strategies, suggesting that as an area becomes more deprived, individuals of the lowest education are more likely not to use any strategy compared with those of the highest education. Conclusions: Neighbourhoods modify/amplify individual disadvantage and social inequalities, with individuals of low education disproportionally affected by deprivation. It is important to include neighbourhood-based explanations in the development of community-based policy interventions to help tackle obesity.Publication Association between coverage of maternal and child health interventions, and under-5 mortality: a repeated cross-sectional analysis of 35 sub-Saharan African countries(Co-Action Publishing, 2014) Corsi, Daniel; Subramanian, SankaranBackground: Infant and child mortality rates are among the most important indicators of child health, nutrition, implementation of key survival interventions, and the overall social and economic development of a population. In this paper, we investigate the role of coverage of maternal and child health (MNCH) interventions in contributing to declines in child mortality in sub-Saharan Africa. Design: Data are from 81 Demographic and Health Surveys from 35 sub-Saharan African countries. Using ecological time-series and child-level regression models, we estimated the effect of MNCH interventions (summarized by the percent composite coverage index, or CCI) on child mortality with in the first 5 years of life net of temporal trends and covariates at the household, maternal, and child levels. Results: At the ecologic level, a unit increase in standardized CCI was associated with a reduction in under-5 child mortality rate (U5MR) of 29.0 per 1,000 (95% CI: −43.2, −14.7) after adjustment for survey period effects and country-level per capita gross domestic product (pcGDP). At the child level, a unit increase in standardized CCI was associated with an odds ratio of 0.86 for child mortality (95% CI: 0.82–0.90) after adjustment for survey period effect, country-level pcGDP, and a set of household-, maternal-, and child-level covariates. Conclusions: MNCH interventions are important in reducing U5MR, while the effects of economic growth in sub-Saharan Africa remain weak and inconsistent. Improved coverage of proven life-saving interventions will likely contribute to further reductions in U5MR in sub-Saharan Africa.Publication Intimate partner violence and HIV: embracing complexity(Elsevier BV, 2015) Harling, Guy; Tsai, Alexander; Subramanian, SankaranDick Durevall and Annika Lindskog (January, 2015) explore the association between intimate partner violence (IPV) and HIV infection in Demographic and Health Survey (DHS) data.1 We welcome Durevall and Lindskog's examination of the confluence of risk factors that might place women at risk of HIV infection, building from our earlier analysis of an overlapping set of DHS datasets,2 and their careful interpretation of the results they find. However, we believe that Sunita Kishor's interpretation of their study,3 in relation to our earlier study on the same question,2 necessitates some elaboration to ensure an accurate interpretation of this analysis.