Dataset Information

Socioeconomic status and cardiovascular risk in urban South Asia: The CARRS Study.

ABSTRACT: Although South Asians experience cardiovascular disease (CVD) and risk factors at an early age, the distribution of CVD risks across the socioeconomic spectrum remains unclear.We analysed the 2011 Centre for Cardiometabolic Risk Reduction in South Asia survey data including 16,288 non-pregnant adults (≥20 years) that are representative of Chennai and Delhi, India, and Karachi, Pakistan. Socioeconomic status (SES) was defined by highest education (primary schooling, high/secondary schooling, college graduate or greater); wealth tertiles (low, middle, high household assets) and occupation (not working outside home, semi/unskilled, skilled, white-collar work). We estimated age and sex-standardized prevalence of behavioural (daily fruit/vegetables; tobacco use), weight (body mass index; waist-to-height ratio) and metabolic risk factors (diabetes, hypertension, hypercholesterolaemia; hypo-HDL; and hypertriglyceridaemia) by each SES category.Across cities, 61.2% and 16.1% completed secondary and college educations, respectively; 52.8% reported not working, 22.9% were unskilled; 21.3% were skilled and 3.1% were white-collar workers. For behavioural risk factors, low fruit/vegetable intake, smoked and smokeless tobacco use were more prevalent in lowest education, wealthy and occupation (for men only) groups compared to higher SES counterparts, while weight-related risks (body mass index 25.0-29.9 and ≥30 kg/m(2); waist-to-height ratio ≥0.5) were more common in higher educated and wealthy groups, and technical/professional men. For metabolic risks, a higher prevalence of diabetes, hypertension and dyslipidaemias was observed in more educated and affluent groups, with unclear patterns across occupation groups.SES-CVD patterns are heterogeneous, suggesting customized interventions for different SES groups may be warranted. Different behavioural, weight, and metabolic risk factor prevalence patterns across SES indicators may signal on-going epidemiological transition in South Asia.

SUBMITTER: Ali MK

PROVIDER: S-EPMC5560768 | biostudies-other | 2016 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Women's empowerment has been identified as an important strategy for improving children's nutrition outcomes in many settings. Empowerment indexes that are built from cross-country routine surveys are increasingly being developed, and further disaggregated analyses of such indexes are needed to examine in-depth, the relationship between women's empowerment and outcomes including children's nutrition. The Demographic and Health Surveys across five countries in South-Central Asia was used to examine the relationship between women's empowerment and children's nutrition outcomes. Empowerment was measured using the three domains (attitude to violence, social independence, and decision-making) in the Survey-based Women's emPowERment (SWPER) index. Main and interaction effects between the SWPER domains and women's wealth index were examined to check if there is a differential positive impact of empowerment for poorer women on children's nutrition outcomes. Outcome measures were children's height-for-age, weight-for-age, and weight-for-height z-scores. Marginal effects of logistic regression and OLS were used to examine main effects and linear probability models and OLS for interaction effects. Analyses were cluster-adjusted, sample-weighted, and important control variables were included. Significance was established at 95% and 99% confidence intervals. In South-Central Asia, to reduce stunting wasting and underweight rates, empowering women through improving their social independence and decision-making power might be important. Furthermore, targeting poorer women for empowerment in social independence and decision-making appears to confer positive benefits towards the reduction of stunting, wasting, and underweight rates in children. However, the main and interaction effects of women's empowerment and wealth index on children's nutrition outcomes vary across the countries examined. These variations suggests that exogenous contextual factors might play a role in the empowerment-nutrition and empowerment-wealth-nutrition associations and interactions. Highlights • Social independence & Decision-making vital for child's nutrition in South-Central Asia.• Empowering poorer women important for reducing stunting and underweight rates.• Associations point to variation in empowerment needs in different settings.• Empowerment initiatives need to be tailored on identified contextual gaps and needs.

Project description:Bioinformatics education has been a hot topic in South Asia, and the interest in this education peaks with the start of the 21st century. The governments of South Asian countries had a systematic effort for bioinformatics. They developed the infrastructures to provide maximum facility to the scientific community to gain maximum output in this field. This article renders bioinformatics, measures, and its importance of implementation in South Asia with proper ways of improving bioinformatics education flaws. It also addresses the problems faced in South Asia and proposes some recommendations regarding bioinformatics education. The information regarding bioinformatics education and institutes was collected from different existing research papers, databases, and surveys. The information was then confirmed by visiting each institution's website, while problems and solutions displayed in the article are mostly in line with South Asian bioinformatics conferences and institutions' objectives. Among South Asian countries, India and Pakistan have developed infrastructure and education regarding bioinformatics rapidly as compared to other countries, whereas Bangladesh, Sri Lanka, and Nepal are still in a progressing phase in this field. To advance in a different sector, the bioinformatics industry has to be revolutionized, and it will contribute to strengthening the pharmaceutical, agricultural, and molecular sectors in South Asia. To advance in bioinformatics, universities' infrastructure needs to be on a par with the current international standards, which will produce well-trained professionals with skills in multiple fields like biotechnology, mathematics, statistics, and computer science. The bioinformatics industry has revolutionized and strengthened the pharmaceutical, agricultural, and molecular sectors in South Asia, and it will serve as the standard of education increases in the South Asian countries. A framework for developing a centralized database is suggested after the literature review to collect and store the information on the current status of South Asian bioinformatics education. This will be named as the South Asian Bioinformatics Education Database (SABE). This will provide comprehensive information regarding the bioinformatics in South Asian countries by the country name, the experts of this field, and the university name to explore the top-ranked outputs relevant to queries.

Project description:Background and objectivesUnderstanding the social determinants of health is a major goal in evolutionary biology and human health research. Low socioeconomic status (often operationalized as absolute material wealth) is consistently associated with chronic stress, poor health and premature death in high-income countries. However, the degree to which wealth gradients in health are universal-or are instead made even steeper under contemporary, post-industrial conditions-remains poorly understood.MethodologyWe quantified absolute material wealth and several health outcomes among a population of traditional pastoralists, the Turkana of northwest Kenya, who are currently transitioning toward a more urban, market-integrated lifestyle. We assessed whether wealth associations with health differed in subsistence-level versus urban contexts. We also explored the causes and consequences of wealth-health associations by measuring serum cortisol, potential sociobehavioral mediators in early life and adulthood, and adult reproductive success (number of surviving offspring).ResultsHigher socioeconomic status and greater material wealth predicts better self-reported health and more offspring in traditional pastoralist Turkana, but worse cardiometabolic health and fewer offspring in urban Turkana. We do not find robust evidence for either direct biological mediators (cortisol) or indirect sociobehavioral mediators (e.g. adult diet or health behaviors, early life experiences) of wealth-health relationships in either context.Conclusions and implicationsWhile social gradients in health are well-established in humans and animals across a variety of socioecological contexts, we show that the relationship between wealth and health can vary within a single population. Our findings emphasize that changes in economic and societal circumstances may directly alter how, why and under what conditions socioeconomic status predicts health.Lay summaryHigh socioeconomic status predicts better health and more offspring in traditional Turkana pastoralists, but worse health and fewer offspring in individuals of the same group living in urban areas. Together, our study shows that under different economic and societal circumstances, wealth effects on health may manifest in very different ways.

Dataset Information

Socioeconomic status and cardiovascular risk in urban South Asia: The CARRS Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets