Age and Socioeconomic Gradients of Health of Indian Adults: An Assessment of Self-Reported and Biological Measures of Health

This paper describes overall socioeconomic gradients and the age patterns of socioeconomic gradients of health of Indian adults for multiple health indicators encompassing the multiple aspects of health. Cross-sectional data on 11,230 Indians aged 18 years and older from the WHO-SAGE India Wave 1, 2007 were analyzed. Multivariate logit models were estimated to examine effects of socioeconomic status (education and household wealth) and age on four health domains: self-rated health, self-reported functioning, chronic diseases, and biological health measures. Results show that socioeconomic status (SES) was negatively associated with prevalence of each health measure but with considerable heterogeneity across age groups. Results for hypertension and COPD were inconclusive. SES effects are significant while adjusting for background characteristics and health risk factors. The age patterns of SES gradient of health depict divergence with age, however, no conclusive age pattern emerged for biological markers. Overall, results in this paper dispelled the conclusion of negative SES-health association found in some previous Indian studies and reinforced the hypothesis of positive association of SES with health for Indian adults. Higher prevalence of negative health outcomes and SES disparities of health outcomes among older age-groups highlight need for inclusive and focused health care interventions for older adults across socioeconomic spectrum.

Cardiometabolic disease in South Asians: A global health concern in an expanding population

Cardiovascular disease (CVD) is one of the main causes of mortality and morbidity worldwide. As an emerging population, South Asians (SAs) bear a disproportionately high burden of CVD relative to underlying classical risk factors, partly attributable to a greater prevalence of insulin resistance and diabetes and distinct genetic and epigenetic influences. While the phenotypic distinctions between SAs and other ethnicities in CVD risk are becoming increasingly clear, the biology of these conditions remains an area of active investigation, with emerging studies involving metabolism, genetic variation and epigenetic modifiers (e.g., extracellular RNA). In this review, we describe the current literature on prevalence, prognosis and CVD risk in SAs, and provide a landscape of translational research in this field toward ameliorating CVD risk in SAs.

Sex differences in the relationship between socioeconomic status and cardiovascular disease: a systematic review and meta-analysis

BACKGROUND

Low socioeconomic status (SES) is a known risk factor for cardiovascular disease (CVD) but whether its effects are comparable in women and men is unknown.

METHODS

PubMed MEDLINE was systematically searched. Studies that reported sex-specific estimates, and associated variability, of the relative risk (RR) for coronary heart disease (CHD), stroke or CVD according to a marker of SES (education, occupation, income or area of residence), for women and men were included. RRs were combined with those derived from cohort studies using individual participant data. Data were pooled using random effects meta-analyses with inverse variance weighting. Estimates of the ratio of the RRs (RRR), comparing women with men, were computed.

RESULTS

Data from 116 cohorts, over 22 million individuals, and over 1 million CVD events, suggest that lower SES is associated with increased risk of CHD, stroke and CVD in women and men. For CHD, there was a significantly greater excess risk associated with lower educational attainment in women compared with men; comparing lowest with highest levels, the age-adjusted RRR was 1.24 (95% CI 1.09 to 1.41) and the multiple-adjusted RRR was 1.34 (1.09 to 1.63). For stroke, the age-adjusted RRR was 0.93 (0.72 to 1.18), and the multiple-adjusted was RRR 0.79 (0.53 to 1.19). Corresponding results for CVD were 1.18 (1.03 to 1.36), 1.23 (1.03 to 1.48), respectively. Similar results were observed for other markers of SES for all three outcomes.

CONCLUSIONS

Reduction of socioeconomic inequalities in CHD and CVD outcomes might require different approaches for men and women.

The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS)

Background

Associations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development.

Methods

Data on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25–45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States).

Results

The prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others.

Conclusions

In conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs.

Endemic Cardiovascular Diseases of the Poorest Billion

The poorest billion people are distributed throughout the world, though most are concentrated in rural sub-Saharan Africa and South Asia. Cardiovascular disease (CVD) data can be sparse in low- and middle-income countries beyond urban centers. Despite this urban bias, CVD registries from the poorest countries have long revealed a predominance of nonatherosclerotic stroke, hypertensive heart disease, nonischemic and Chagas cardiomyopathies, rheumatic heart disease, and congenital heart anomalies, among others. Ischemic heart disease has been relatively uncommon. Here, we summarize what is known about the epidemiology of CVDs among the world’s poorest people and evaluate the relevance of global targets for CVD control in this population. We assessed both primary data sources, and the 2013 Global Burden of Disease Study modeled estimates in the world’s 16 poorest countries where 62% of the population are among the poorest billion. We found that ischemic heart disease accounted for only 12% of the combined CVD and congenital heart anomaly disability-adjusted life years (DALYs) in the poorest countries, compared with 51% of DALYs in high-income countries. We found that as little as 53% of the combined CVD and congenital heart anomaly burden (1629/3049 DALYs per 100 000) was attributed to behavioral or metabolic risk factors in the poorest countries (eg, in Niger, 82% of the population among the poorest billion) compared with 85% of the combined CVD and congenital heart anomaly burden (4439/5199 DALYs) in high-income countries. Further, of the combined CVD and congenital heart anomaly burden, 34% was accrued in people under age 30 years in the poorest countries, while only 3% is accrued under age 30 years in high-income countries. We conclude although the current global targets for noncommunicable disease and CVD control will help diminish premature CVD death in the poorest populations, they are not sufficient. Specifically, the current framework (1) excludes deaths of people <30 years of age and deaths attributable to congenital heart anomalies, and (2) emphasizes interventions to prevent and treat conditions attributed to behavioral and metabolic risks factors. We recommend a complementary strategy for the poorest populations that targets premature death at younger ages, addresses environmental and infectious risks, and introduces broader integrated health system interventions, including cardiac surgery for congenital and rheumatic heart disease.

Socioeconomic status and hypertension: a meta-analysis

BACKGROUND

The relationship between socioeconomic status (SES) and hypertension has been studied in a number of reviews. However, the impact of SES on hypertension has been reported in several studies with conflicting results.

METHODS

A systematic search was performed in PubMed, Proquest and Cochrane databases for observational studies on hypertension prevalence and SES, published in English, until March 2014. Hypertension was defined as a mean SBP of at least 140 mmHg or a DBP of at least 90 mmHg, or use of antihypertensive medication. The inverse variance method with a random-effects model was used to pool the risk estimates from the individual studies. Data abstraction was conducted independently by two authors.

RESULTS

Among the 2404 references, 51 studies fulfilled the inclusion criteria. An overall increased risk of hypertension among the lowest SES was found for all three indicators: income [pooled odds ratio (OR) 1.19, 95% confidence interval (CI) 0.96-1.48], occupation (pooled OR 1.31, 95% CI 1.04-1.64) and education (pooled OR 2.02, 95% CI 1.55-2.63). The associations were significant in high-income countries, and the increased risk of hypertension for the lowest categories of all SES indicators was most evident for women, whereas men revealed less consistent associations.

CONCLUSION

Low SES is associated with higher blood pressure, and this association is particularly evident in the level of education. It is important to identify and monitor hypertension to reduce the risk of this disease among the most vulnerable groups in different countries and among different societies.

Minimum Wage and Overweight and Obesity in Adult Women: A Multilevel Analysis of Low and Middle Income Countries

OBJECTIVES

To describe the relationship between minimum wage and overweight and obesity across countries at different levels of development.

METHODS

A cross-sectional analysis of 27 countries with data on the legislated minimum wage level linked to socio-demographic and anthropometry data of non-pregnant 190,892 adult women (24-49 y) from the Demographic and Health Survey. We used multilevel logistic regression models to condition on country- and individual-level potential confounders, and post-estimation of average marginal effects to calculate the adjusted prevalence difference.

RESULTS

We found the association between minimum wage and overweight/obesity was independent of individual-level SES and confounders, and showed a reversed pattern by country development stage. The adjusted overweight/obesity prevalence difference in low-income countries was an average increase of about 0.1 percentage points (PD 0.075 [0.065, 0.084]), and an average decrease of 0.01 percentage points in middle-income countries (PD -0.014 [-0.019, -0.009]). The adjusted obesity prevalence difference in low-income countries was an average increase of 0.03 percentage points (PD 0.032 [0.021, 0.042]) and an average decrease of 0.03 percentage points in middle-income countries (PD -0.032 [-0.036, -0.027]).

CONCLUSION

This is among the first studies to examine the potential impact of improved wages on an important precursor of non-communicable diseases globally. Among countries with a modest level of economic development, higher minimum wage was associated with lower levels of obesity.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

The co-occurrence of anemia and cardiometabolic disease risk demonstrates sex-specific sociodemographic patterning in an urbanizing rural region of southern India

BACKGROUND/OBJECTIVES

To determine the extent and sociodemographic determinants of anemia, overweight, metabolic syndrome (MetS) and the co-occurrence of anemia with cardiometabolic disease risk factors among a cohort of Indian adults.

SUBJECT/METHODS

Cross-sectional survey of adult men (n=3322) and nonpregnant women (n=2895) aged 18 years and older from the third wave of the Andhra Pradesh Children and Parents Study that assessed anemia, overweight based on body mass index, and prevalence of MetS based on abdominal obesity, hypertension and blood lipid and fasting glucose measures. We examined associations of education, wealth and urbanicity with these outcomes and their co-occurrence.

RESULTS

The prevalence of anemia and overweight was 40% and 29% among women, respectively, and 10% and 25% among men (P<0.001), respectively, whereas the prevalence of MetS was the same across sexes (15%; P=0.55). The prevalence of concurrent anemia and overweight (9%), and anemia and MetS (4.5%) was highest among women. Household wealth was positively associated with overweight and MetS across sexes (P<0.05). Independent of household wealth, higher education was positively correlated with MetS among men (odds ratio (95% confidence interval): MetS: 1.4 (0.99, 2.0)) and negatively correlated with MetS among women (MetS: 0.54 (0.29, 0.99)). Similar sex-specific associations were observed for the co-occurrence of anemia with overweight and MetS.

CONCLUSIONS

Women in this region of India may be particularly vulnerable to co-occurring anemia and cardiometabolic risk, and associated adverse health outcomes as the nutrition transition advances in India.

Health insurance in India: what do we know and why is ethnographic research needed

The percentage of India's national budget allocated to the health sector remains one of the lowest in the world, and healthcare expenditures are largely out-of-pocket (OOP). Currently, efforts are being made to expand health insurance coverage as one means of addressing health disparity and reducing catastrophic health costs. In this review, we document reasons for rising interest in health insurance and summarize the country's history of insurance projects to date. We note that most of these projects focus on in-patient hospital costs, not the larger burden of out-patient costs. We briefly highlight some of the more popular forms that government, private, and community-based insurance schemes have taken and the results of quantitative research conducted to assess their reach and cost-effectiveness. We argue that ethnographic case studies could add much to existing health service and policy research, and provide a better understanding of the life cycle and impact of insurance programs on both insurance holders and healthcare providers. Drawing on preliminary fieldwork in South India and recognizing the need for a broad-based implementation science perspective (studying up, down and sideways), we identify six key topics demanding more in-depth research, among others: (1) public awareness and understanding of insurance; (2) misunderstanding of insurance and how this influences health care utilization; (3) differences in behavior patterns in cash and cashless insurance systems; (4) impact of insurance on quality of care and doctor-patient relations; (5) (mis)trust in health insurance schemes; and (6) health insurance coverage of chronic illnesses, rehabilitation and OOP expenses.

Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data

Using new biomarker data from the 2010 pilot round of the Longitudinal Aging Study in India (LASI), we investigate education, gender, and state-level disparities in health. We find that hemoglobin level, a marker for anemia, is lower for respondents with no schooling (0.7g/dL less in the adjusted model) compared to those with some formal education and is also lower for females than for males (2.0g/dL less in the adjusted model). In addition, we find that about one third of respondents in our sample aged 45 or older have high C-reaction protein (CRP) levels (>3mg/L), an indicator of inflammation and a risk factor for cardiovascular disease. We find no evidence of educational or gender differences in CRP, but there are significant state-level disparities, with Kerala residents exhibiting the lowest CRP levels (a mean of 1.96mg/L compared to 3.28mg/L in Rajasthan, the state with the highest CRP). We use the Blinder-Oaxaca decomposition approach to explain group-level differences, and find that state-level disparities in CRP are mainly due to heterogeneity in the association of the observed characteristics of respondents with CRP, rather than differences in the distribution of endowments across the sampled state populations.

Social epidemiology of excess weight and central adiposity in older Indians: analysis of Study on global AGEing and adult health (SAGE)

OBJECTIVES

We aimed to estimate the prevalence of overweight and obesity, represented by extra body weight and abdominal circumference, among older Indians; and to characterise the social pattern of obesity and measure the magnitude of hypertension attributable to it.

SETTING

A nationally representative sample of older Indians was selected from 6 Indian states, including Rajasthan, Uttar Pradesh, West Bengal, Assam, Maharashtra and Karnataka, as a part of the multicountry Study on global AGEing and adult health (SAGE).

PARTICIPANTS

Indians aged 50 years or more (n=7273) were included in the first wave of the SAGE (2010), which we used in our study.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measures included excess weight (EW), defined by body mass index (BMI) >25 kg/m(2), and central adiposity (CA), defined by waist circumference >90 cm for men and >80 cm for women. The secondary outcome included hypertension, defined by systolic blood pressure >139 or diastolic blood pressure >79 mm Hg, or by those receiving antihypertensive medications.

RESULTS

14% of older Indians possessed EW, whereas 35% possessed CA; 50.9% of the wealthier third and 27.7% of the poorer two-thirds have CA; the proportions being 69.1% and 46.2%, respectively, in older women. Mostly wealth (adjusted OR for CA: 4.36 (3.23 to 5.95) and EW: 4.39 (3.49 to 5.53)), but also urban residence, privileged caste, higher education, white-collared occupation and female gender, were important determinants. One of 17 older Indians overall and 1 of 18 in the poorer 70% suffered from CA-driven hypertension, independent of BMI.

CONCLUSIONS

The problem of CA and its allied diseases is already substantial and expected to rise across all socioeconomic strata of older Indians, though currently, CA affects the privileged more than the underprivileged, in later life. Population-based promotion of appropriate lifestyles, with special emphasis on women, is required to counteract prosperity-driven obesity before it becomes too entrenched and expensive to uproot.

Socio-Economic Differences in Cardiovascular Health: Findings from a Cross-Sectional Study in a Middle-Income Country

BACKGROUND

A relatively consistent body of literature, mainly from high-income countries, supports an inverse association between socio-economic status (SES) and risk of cardiovascular disease (CVD). Data from low- and middle-income countries are scarce. This study explores SES differences in cardiovascular health (CVH) in the Republic of Srpska (RS), Bosnia and Herzegovina, a middle-income country.

METHODS

We collected information on SES (education, employment status and household's relative economic status, i.e. household wealth) and the 7 ideal CVH components (smoking status, body mass index, physical activity, diet, blood pressure, total cholesterol, and fasting blood glucose) among 3601 participants 25 years of age and older, from the 2010 National Health Survey in the RS. Based on the sum of all 7 CVH components an overall CVH score (CVHS) was calculated ranging from 0 (all CVH components at poor levels) to 14 (all CVH components at ideal levels). To assess the differences between groups the chi-square test, t-test and ANOVA were used where appropriate. The association between SES and CVHS was analysed with multivariate linear regression analyses. The dependent variable was CVHS, while independent variables were educational level, employment status and wealth index.

RESULTS

According to multiple linear regression analysis CVHS was independently associated with education attainment and employment status. Participants with higher educational attainment and those economically active had higher CVHS (b = 0.57; CI = 0.29-0.85 and b = 0.27; CI = 0.10-0.44 respectively) after adjustment for sex, age group, type of settlement, and marital status. We failed to find any statistically significant difference between the wealth index and CVHS.

CONCLUSION

This study presents the novel information, since CVHS generated from the individual CVH components was not compared by socio-economic status till now. Our finding that the higher overall CVHS was independently associated with a higher education attainment and those economically active supports the importance of reducing socio-economic inequalities in CVH in RS.

Assessment of primary care facilities for cardiovascular disease preparedness in Madhya Pradesh, India

Background

Government of India has launched National Program for Prevention & Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS) to address high prevalence of non-communicable diseases (NCDs) in India. Cardiovascular diseases (CVDs) constitute a significant portion of NCD burden. While this program is yet to be launched in all districts of Madhya Pradesh state of India, we performed this study to understand facility-level gaps that need to be addressed to improve CVD services in primary care provided by the public sector.

Methods

This is a cross-sectional questionnaire based study. A standardized questionnaire was self-administered to 85 medical officers from as many primary care facilities from 24 districts of the state. These medical officers were working in two types of primary care facilities – primary health center (PHC) and community health centers (CHC). Facilities were assessed for 36 items in 5 domains (human-resource, equipment, drug supplies, point-of-care tests and laboratory services) with a focus on management of hypertension and diabetes mellitus in primary-care. Each item was to be answered as either present or absent at the facility where medical officer was working. We compared availability of an item across two levels of primary care facilities. All statistical analysis were done using Microsoft Excel.

Results

Availability of facilities was least in laboratory services, and human resource domains followed by drugs, and better in equipment and point-of-care supply domains. Across these domains, availability of items in CHCs was (37.1, 49.0, 56.1, 67.9 and 80.9 % respectively) and in PHCs (11.8, 18.2, 44.2, 55.1, and 55.3 % respectively).

Discussion

Current facility assessment study shows critical gaps in key items required for management of NCDs at primary care level. Human resource and laboratory services need to be strengthened the most, followed by sustained availability of all required drug classes, equipment and related supplies, and upgrading point-of-care testing. There are larger gaps in PHCs, which are level 1 facilities, as compared to CHCs, which are level 2 facilities in primary-care.

Conclusions

Increasing burden of NCDs like hypertension and diabetes mellitus necessitates public health response through health systems. Therefore health system preparedness in form of trained human resources, functional laboratories and well stocked pharmacies are essential in primary care facilities.

The rising burden of chronic conditions among urban poor: a three-year follow-up survey in Bengaluru, India

Background

Chronic conditions are on rise globally and in India. Prevailing intra-urban inequities in access to healthcare services compounds the problems faced by urban poor. This paper reports the trends in self-reported prevalence of chronic conditions and health-seeking pattern among residents of a poor urban neighborhood in south India.

Methods

A cross sectional survey of 1099 households (5340 individuals) was conducted using a structured questionnaire. The prevalence and health-seeking pattern for chronic conditions in general and for hypertension and diabetes in particular were assessed and compared with a survey conducted in the same community three years ago. The predictors of prevalence and health-seeking pattern were analyzed through a multivariable logistic regression analysis.

Results

The overall self-reported prevalence of chronic conditions was 12 %, with hypertension (7 %) and diabetes (5.8 %) being the common conditions. The self-reported prevalence of chronic conditions increased by 3.8 percentage point over a period of three years (OR: 1.5). Older people, women and people living below the poverty line had greater odds of having chronic conditions across the two studies compared. Majority of patients (89.3 %) sought care from private health facilities indicating a decrease by 8.7 percentage points in use of government health facility compared to the earlier study (OR: 0.5). Patients seeking care from super specialty hospitals and those living below the poverty line were more likely to seek care from government health facilities.

Conclusion

There is need to strengthen health services with a preferential focus on government services to assure affordable care for chronic conditions to urban poor.

Association of hypertension and hyperglycaemia with socioeconomic contexts in resource-poor settings: the Bangladesh Demographic and Health Survey

BACKGROUND

Cardiovascular diseases and risk factors are disproportionally concentrated among the socioeconomically disadvantaged in high-income countries; however, this relationship is not well-understood or documented in resource-limited countries.

METHODS

We analysed data from the 2011 Bangladesh Demographic and Health Survey to estimate age-, sex- and location-adjusted differences in blood pressure and blood glucose outcomes by categories of a standardized wealth index and education levels. Body mass index (BMI) was examined as a secondary outcome and also assessed as a potential confounder.

RESULTS

There was strong evidence that the prevalence of hypertension was higher among Bangladeshi women than among men (33.6% vs 19.6%, P < 0.001), whereas the overall prevalence of hyperglycaemia was 7.1% with no evidence of sex differences. The likelihood of having hypertension was more than double for individuals in the highest vs lowest wealth quintile [odds ratio (OR) for men: 2.82, 95% confidence interval (CI): 2.32-3.44; OR for women: 2.25, 95% CI: 1.90-2.67], and for individuals with the highest level of education attained vs those with no education (OR for men: 2.55, 95% CI: 2.06-3.16; OR for women: 1.42, 95% CI: 0.99-2.03). Likewise, the likelihood of having hyperglycaemia was more than four times higher in the wealthiest compared with the poorest individuals (OR for men: 6.48, 95% CI: 5.11-8.22; OR for women: 4.77, 95% CI: 3.72-6.12), and in individuals with the highest level of education attained vs those with no education (OR for men: 4.68, 95% CI: 3.56-6.15; OR for women: 5.02, 95% CI: 3.30-7.64). There were no appreciable differences in these trends when stratified by geographical location. BMI did not attenuate these associations and exhibited similarly positive associations with education and wealth.

CONCLUSIONS

Increasing levels of wealth and educational attainment were associated with an increased likelihood of having hypertension and hyperglycaemia in Bangladesh.

Below the poverty line and non-communicable diseases in Kerala: The Epidemiology of Non-communicable Diseases in Rural Areas (ENDIRA) study

INTRODUCTION

India carries the greatest burden of global non-communicable diseases (NCDs). Poverty is strongly associated with NCDs but there are few prevalence studies which have measured poverty in India, particularly in rural settings.

METHODS

In Kerala, India, a population of 113,462 individuals was identified. The "Epidemiology of Non-communicable Diseases in Rural Areas" (ENDIRA) study was conducted via ASHAs (Accredited Social Health Activists). Standardised questionnaires were used in household interviews of individuals ≥18years during 2012 to gather sociodemographic, lifestyle and medical data for this population. The Government of Kerala definition of "the poverty line" was used. The association between below poverty line (BPL) status, NCDs and risk factors was analysed in multivariable regression models.

RESULTS

84,456 adults were included in the analyses (25.4% below the poverty line). The prevalence of NCDs was relatively common: myocardial infarction (MI) 1.4%, stroke 0.3%, respiratory diseases 5.0%, and cancer 1.1%. BPL status was not associated with age (p=0.96) or gender (p=0.26). Compared with those above the poverty line (APL), the BPL group was less likely to have diabetes, hypertension or dyslipidaemia (p<0.0001), and more likely to smoke (p<0.0001). Compared with APL, BPL was associated with stroke (OR 1.33, 1.04-1.69; p=0.02) and respiratory disease (OR 1.23, 1.15-1.32; p<0.0001) in multivariable analyses, but not MI or cancer.

CONCLUSIONS

In rural Kerala, BPL status was associated with stroke and respiratory diseases, but not with MI and cancer although it was associated with smoking status, compared with above poverty line status.

Socio-economic patterning of cardiometabolic risk factors in rural and peri-urban India: Andhra Pradesh children and parents study (APCAPS)

Aim

To assess the prevalence of cardiometabolic risk factors by socio-economic position (SEP) in rural and peri-urban Indian population.

Subjects and methods

Cross-sectional survey of 3,948 adults (1,154 households) from Telangana (2010–2012) was conducted to collect questionnaire-based data, physical measurements and fasting blood samples. We compared the prevalence of risk factors and their clustering by SEP adjusting for age using the Mantel Hansel test.

Results

Men and women with no education had higher prevalence of increased waist circumference (men: 8 vs. 6.4 %, P < 0.001; women: 20.9 vs. 12.0 %, P = 0.01), waist-hip ratio (men: 46.5 vs. 25.8 %, P = 0.003; women: 58.8 vs. 29.2 %, P = 0.04) and regular alcohol intake (61.7 vs. 32.5 %, P < 0.001; women: 25.7 vs. 3.8 %, P < 0.001) than educated participants. Unskilled participants had higher prevalence of regular alcohol intake (men: 57.7 vs. 38.7 %, P = 0.001; women: 28.3 vs. 7.3 %, P < 0.001). In contrast, participants with a higher standard of living index had higher prevalence of diabetes (top third vs. bottom third: men 5.2 vs. 3.5 %, P = 0.004; women 5.5 vs. 2.4 %, P = 0.003), hyperinsulinemia (men 29.5 vs. 16.3 %, P = 0.002; women 31.1 vs. 14.3 %, P < 0.001), obesity (men 23.3 vs. 10.6 %, P < 0.001; women 25.9 vs. 12.8 %, P < 0.001), and raised LDL (men 16.8 vs. 11.4 %, P = 0.001; women 21.3 vs. 14.0 %, P < 0.001).

Conclusions

Cardiometabolic risk factors are common in rural India but do not show a consistent association with SEP except for higher prevalence of smoking and regular alcohol intake in lower SEP group. Strategies to address the growing burden of cardiometabolic diseases in urbanizing rural India should be assessed for their potential impact on social inequalities in health.

Are estimates of socioeconomic inequalities in chronic disease artefactually narrowed by self-reported measures of prevalence in low-income and middle-income countries? Findings from the WHO-SAGE survey

BACKGROUND

The use of self-reported measures of chronic disease may substantially underestimate prevalence in low-income and middle-income country settings, especially in groups with lower socioeconomic status (SES). We sought to determine whether socioeconomic inequalities in the prevalence of non-communicable chronic diseases (NCDs) differ if estimated by using symptom-based or criterion-based measures compared with self-reported physician diagnoses.

METHODS

Using population-representative data sets of the WHO Study of Global Ageing and Adult Health (SAGE), 2007-2010 (n=42 464), we calculated wealth-related and education-related concentration indices of self-reported diagnoses and symptom-based measures of angina, hypertension, asthma/chronic lung disease, visual impairment and depression in three 'low-income and lower middle-income countries'-China, Ghana and India-and three 'upper-middle-income countries'-Mexico, Russia and South Africa.

RESULTS

SES gradients in NCD prevalence tended to be positive for self-reported diagnoses compared with symptom-based/criterion-based measures. In China, Ghana and India, SES gradients were positive for hypertension, angina, visual impairment and depression when using self-reported diagnoses, but were attenuated or became negative when using symptom-based/criterion-based measures. In Mexico, Russia and South Africa, this distinction was not observed consistently. For example, concentration index of self-reported versus symptom-based angina were: in China: 0.07 vs. -0.11, Ghana: 0.04 vs. -0.21, India: 0.02 vs. -0.16, Mexico: 0.19 vs. -0.22, Russia: -0.01 vs. -0.02 and South Africa: 0.37 vs. 0.02.

CONCLUSIONS

Socioeconomic inequalities in NCD prevalence tend to be artefactually positive when using self-report compared with symptom-based or criterion-based diagnostic criteria, with greater bias occurring in low-income countries. Using standardised, symptom-based measures would provide more valid estimates of NCD inequalities.

Association of socioeconomic status with overall and cause specific mortality in the Republic of Seychelles: results from a cohort study in the African region

BACKGROUND

Low socioeconomic status (SES) is consistently associated with higher mortality in high income countries. Only few studies have assessed this association in low and middle income countries, mainly because of sparse reliable mortality data. This study explores SES differences in overall and cause-specific mortality in the Seychelles, a rapidly developing small island state in the African region.

METHODS

All deaths have been medically certified over more than two decades. SES and other lifestyle-related risk factors were assessed in a total of 3246 participants from three independent population-based surveys conducted in 1989, 1994 and 2004. Vital status was ascertained using linkage with vital statistics. Occupational position was the indicator of SES used in this study and was assessed with the same questions in the three surveys.

RESULTS

During a mean follow-up of 15.0 years (range 0-23 years), 523 participants died (overall mortality rate 10.8 per 1000 person-years). The main causes of death were cardiovascular disease (CVD) (219 deaths) and cancer (142 deaths). Participants in the low SES group had a higher mortality risk for overall (HR = 1.80; 95% CI: 1.24-2.62), CVD (HR = 1.95; 1.04-3.65) and non-cancer/non-CVD (HR = 2.14; 1.10-4.16) mortality compared to participants in the high SES group. Cancer mortality also tended to be patterned by SES (HR = 1.44; 0.76-2.75). Major lifestyle-related risk factors (smoking, heavy drinking, obesity, diabetes, hypertension, hypercholesterolemia) explained a small proportion of the associations between low SES and all-cause, CVD, and non-cancer/non-CVD mortality.

CONCLUSIONS

In this population-based study assessing social inequalities in mortality in a country of the African region, low SES (as measured by occupational position) was strongly associated with overall, CVD and non-cancer/non-CVD mortality. Our findings support the view that the burden of non-communicable diseases may disproportionally affect people with low SES in low and middle income countries.

Education modifies the association of wealth with obesity in women in middle-income but not low-income countries: an interaction study using seven national datasets, 2005-2010

BACKGROUND

Education and wealth may have different associations with female obesity but this has not been investigated in detail outside high-income countries. This study examines the separate and inter-related associations of education and household wealth in relation to obesity in women in a representative sample of low- and middle-income countries (LMICs).

METHODS

The seven largest national surveys were selected from a list of Demographic and Health Surveys (DHS) ordered by decreasing sample size and resulted in a range of country income levels. These were nationally representative data of women aged 15-49 years collected in the period 2005-2010. The separate and joint effects, unadjusted and adjusted for age group, parity, and urban/rural residence using a multivariate logistic regression model are presented.

RESULTS

In the four middle-income countries (Colombia, Peru, Jordan, and Egypt), an interaction was found between education and wealth on obesity (P-value for interaction <0.001). Among women with no/primary education the wealth effect was positive whereas in the group with higher education it was either absent or inverted (negative). In the poorer countries (India, Nigeria, Benin), there was no evidence of an interaction. Instead, the associations between each of education and wealth with obesity were independent and positive. There was a statistically significant difference between the average interaction estimates for the low-income and middle-income countries (P<0.001).

CONCLUSIONS

The findings suggest that education may protect against the obesogenic effects of increased household wealth as countries develop. Further research could examine the factors explaining the country differences in education effects.

Associations of socioeconomic and psychosocial factors with urinary measures of cortisol and catecholamines in the Multi-Ethnic Study of Atherosclerosis (MESA)

BACKGROUND

Stress hormones have been hypothesized to contribute to the social patterning of cardiovascular disease but evidence of differences in hormone levels across social groups is scant.

PURPOSE

To examine the associations of socioeconomic and psychosocial factors with urinary levels of cortisol and catecholamines and determine whether these associations are modified by race/ethnicity.

METHODS

Measures of cortisol, epinephrine, norepinephrine and dopamine were obtained on 12-h overnight urine specimens from 942 White, African American and Hispanic participants in the Multi-Ethnic Study of Atherosclerosis (MESA). Linear regression was used to examine associations of income-wealth index, education, depression, anger, anxiety and chronic stress with the four hormones after adjustment for covariates.

RESULTS

Higher income-wealth index was associated with lower levels of urinary cortisol, epinephrine, norepinephrine and dopamine, after adjustment for age, sex, race/ethnicity, medication use, body mass index, smoking, and alcohol use. Education and psychosocial factors were not associated with urinary stress hormone levels in the full sample. However, there was some evidence of effect modification by race: SES factors were more strongly inversely associated with cortisol in African Americans than in other groups and anger was inversely associated with catecholamines in African Americans but not in the other groups.

CONCLUSIONS

Lower SES as measured by income-wealth index in a multi-ethnic sample is associated with higher levels of urinary cortisol and catecholamines. Heterogeneity in these associations by race/ethnicity warrants further exploration.

Averting obesity and type 2 diabetes in India through sugar-sweetened beverage taxation: an economic-epidemiologic modeling study

BACKGROUND

Taxing sugar-sweetened beverages (SSBs) has been proposed in high-income countries to reduce obesity and type 2 diabetes. We sought to estimate the potential health effects of such a fiscal strategy in the middle-income country of India, where there is heterogeneity in SSB consumption, patterns of substitution between SSBs and other beverages after tax increases, and vast differences in chronic disease risk within the population.

METHODS AND FINDINGS

Using consumption and price variations data from a nationally representative survey of 100,855 Indian households, we first calculated how changes in SSB price alter per capita consumption of SSBs and substitution with other beverages. We then incorporated SSB sales trends, body mass index (BMI), and diabetes incidence data stratified by age, sex, income, and urban/rural residence into a validated microsimulation of caloric consumption, glycemic load, overweight/obesity prevalence, and type 2 diabetes incidence among Indian subpopulations facing a 20% SSB excise tax. The 20% SSB tax was anticipated to reduce overweight and obesity prevalence by 3.0% (95% CI 1.6%-5.9%) and type 2 diabetes incidence by 1.6% (95% CI 1.2%-1.9%) among various Indian subpopulations over the period 2014-2023, if SSB consumption continued to increase linearly in accordance with secular trends. However, acceleration in SSB consumption trends consistent with industry marketing models would be expected to increase the impact efficacy of taxation, averting 4.2% of prevalent overweight/obesity (95% CI 2.5-10.0%) and 2.5% (95% CI 1.0-2.8%) of incident type 2 diabetes from 2014-2023. Given current consumption and BMI distributions, our results suggest the largest relative effect would be expected among young rural men, refuting our a priori hypothesis that urban populations would be isolated beneficiaries of SSB taxation. Key limitations of this estimation approach include the assumption that consumer expenditure behavior from prior years, captured in price elasticities, will reflect future behavior among consumers, and potential underreporting of consumption in dietary recall data used to inform our calculations.

CONCLUSION

Sustained SSB taxation at a high tax rate could mitigate rising obesity and type 2 diabetes in India among both urban and rural subpopulations.

Socioeconomic inequalities in non-communicable diseases prevalence in India: disparities between self-reported diagnoses and standardized measures

BACKGROUND

Whether non-communicable diseases (NCDs) are diseases of poverty or affluence in low-and-middle income countries has been vigorously debated. Most analyses of NCDs have used self-reported data, which is biased by differential access to healthcare services between groups of different socioeconomic status (SES). We sought to compare self-reported diagnoses versus standardised measures of NCD prevalence across SES groups in India.

METHODS

We calculated age-adjusted prevalence rates of common NCDs from the Study on Global Ageing and Adult Health, a nationally representative cross-sectional survey. We compared self-reported diagnoses to standardized measures of disease for five NCDs. We calculated wealth-related and education-related disparities in NCD prevalence by calculating concentration index (C), which ranges from -1 to +1 (concentration of disease among lower and higher SES groups, respectively).

FINDINGS

NCD prevalence was higher (range 5.2 to 19.1%) for standardised measures than self-reported diagnoses (range 3.1 to 9.4%). Several NCDs were particularly concentrated among higher SES groups according to self-reported diagnoses (Csrd) but were concentrated either among lower SES groups or showed no strong socioeconomic gradient using standardized measures (Csm): age-standardised wealth-related C: angina Csrd 0.02 vs. Csm -0.17; asthma and lung diseases Csrd -0.05 vs. Csm -0.04 (age-standardised education-related Csrd 0.04 vs. Csm -0.05); vision problems Csrd 0.07 vs. Csm -0.05; depression Csrd 0.07 vs. Csm -0.13. Indicating similar trends of standardized measures detecting more cases among low SES, concentration of hypertension declined among higher SES (Csrd 0.19 vs. Csm 0.03).

CONCLUSIONS

The socio-economic patterning of NCD prevalence differs markedly when assessed by standardized criteria versus self-reported diagnoses. NCDs in India are not necessarily diseases of affluence but also of poverty, indicating likely under-diagnosis and under-reporting of diseases among the poor. Standardized measures should be used, wherever feasible, to estimate the true prevalence of NCDs.