Wealth-based Inequalities Research Articles

Wealth-based disparities in the prevalence of short birth interval in India: insights from NFHS-5

BackgroundShort birth interval (SBI) has profound implications for the health of both mothers and children, yet there remains a notable dearth of studies addressing wealth-based inequality in SBI and its associated factors in India. This study aims to address this gap by investigating wealth-based disparities in SBI and identifying the underlying factors associated with SBI in India.MethodsWe used information on 109,439 women of reproductive age (15–49 years) from the fifth round of the National Family Health Survey (2019-21). We assessed wealth-based inequality in SBI for India and its states using the Erreygers Normalised Concentration Index (ECI). Additionally, we used a multilevel binary logistic regression to assess the factors associated with SBI in India.ResultsIn India, the prevalence of SBI was 47.8% [95% CI: 47.4, 48.3] during 2019-21, with significant variation across states. Bihar reported the highest prevalence of SBI at 61.2%, while Sikkim the lowest at 18.1%. SBI prevalence was higher among poorer mothers compared to richer ones (Richest: 33.8% vs. Poorest: 52.9%). This wealth-based inequality was visible in the ECI as well (ECI= -0.13, p < 0.001). However, ECI varied considerably across the states. Gujarat, Punjab, and Manipur exhibited the highest levels of wealth-based inequality (ECI= -0.28, p < 0.001), whereas Kerala showed minimal wealth-based inequality (ECI= -0.01, p = 0.643). Multilevel logistic regression analysis identified several factors associated with SBI. Mothers aged 15–24 (OR: 12.01, p < 0.001) and 25–34 (2.92, < 0.001) were more likely to experience SBI. Women who married after age 25 (3.17, < 0.001) and those belonging to Scheduled Caste (1.18, < 0.001), Scheduled Tribes (1.14, < 0.001), and Other Backward Classes (1.12, < 0.001) also had higher odds of SBI. Additionally, the odds of SBI were higher among mothers in the poorest (1.97, < 0.001), poorer (1.73, < 0.001), middle (1.62, < 0.001), and richer (1.39, < 0.001) quintiles compared to the richest quintile. Women whose last child had passed away were also significantly more likely to have SBI (2.35, < 0.001). Furthermore, mothers from communities with lower average schooling levels (1.18, < 0.001) were more likely to have SBI. Geographically, mothers from eastern (0.67, < 0.001) and northeastern (0.44, < 0.001) regions of India were less likely to have SBI.ConclusionThe significant wealth-based inequality in SBI in India highlights the need for targeted interventions focusing on economically disadvantaged women, particularly in states with high SBI prevalence. Special attention should be given to younger mothers and those from socially disadvantaged groups to enhance maternal and child health outcomes across the country.

An analysis of predictors and wealth-based inequality in internet use among women in India: aiming for better digital health outcomes

BackgroundDigital health, aiming to boost healthcare accessibility, is an emerging concept in the domain of healthcare administration and delivery in developing countries. In India, according to the National Family Health Survey (NFHS-5), more than half (55%) of the men have reported ever using the internet, while only one-third (33%) of the women have done so. This gendered digital divide is further complicated and worsened by the fact that individuals in the lowest wealth quintile exhibit significantly lower internet usage rates, with only 9% of women and 26% of men. Such intersectionality of the gendered digital divide might prove a barrier to realizing the full potential of digital health in India. Eliminating digital inequalities in all forms and ensuring universal digitalization is essential for desired digital health outcomes.MethodsThis study aims to explore India’s readiness for digital health in terms of access to basic digital infrastructure, i.e., the internet. We analyze access to the Internet among Indian women of reproductive age using pan-India survey data from the fifth round of the National Family Health Survey (2019–21). We investigate predictors of Internet use in a regression model and apply the Erreygers Concentration Index (ECI) to examine inequalities in Internet access. Using decomposition analyses, we analyze factors contributing to digital inequality in terms of internet use.ResultsOur inequality analysis based on the ECI [ECI- 0.4444 (p < 0.001)] suggests that a significant inequality exists in internet access. Furthermore, the decomposition analyses in the study find women’s educational level to be the most prominent (28.19%) contributing factor to internet inequality, followed by wealth (25.67%), place of residence (23.16%), and caste (1.10%).RecommendationWe suggest a comprehensive readiness and need assessment, revamping of digital infrastructure, and moving with caution in implementing digital health innovation in the country as it may further exacerbate the existing healthcare access inequities.

Undernutrition in children under five associated with wealth-related inequality in 24 low- and middle-income countries from 2017 to 2022

Undernourishment is a persistent public health problem contributing to increased mortality in children under five in low-income countries, likely exacerbated by socio-economic disparities within communities. This paper aimed to examine the effect of wealth-related inequality on undernutrition in children under five in low, lower-middle, and upper-middle-income countries (LMICs). We analyzed cross-sectional data from the demographic and health survey program collected between 2017 and 2022 from 24 LMICs. Children born within 5 years preceding the survey were included in the analysis. Child undernutrition was the dependent variable (measured by stunting, wasting, and underweight) and country-level wealth-based inequality was the independent variable assessed by concentration index values stratified by the World Bank’s income categories. Within country inequality of child undernutrition was determined by concentration index (C) values with 95% confidence intervals (95% CI) and sub-group analysis by place of residence and sex of the child. We then fit bootstrapped meta-regression to check the variation in inequality of child undernutrition across different income category countries. The analysis was controlled by potential confounding variables. From the total sample size of 334,502 children included in the study, 35% were undernourished. Wealth-related inequality in child undernutrition was observed in 11 countries, consistently across income categories. Child undernutrition was highly concentrated among the poor households of Türkiye [C: − 0.26, 95% CI − 0.31 to − 0.20], and Cameroon [C: − 0.19, 95% CI − 0.22 to − 0.17], and relatively it was less concentrated among the poor in Liberia [C: − 0.07, 95% CI − 0.11 to − 0.04], and Gambia [C: − 0.07, 95% CI − 0.11 to − 0.04]. There is no difference in undernutrition associated with inequality between the three broad LMIC categories. The wealth-related inequality in child undernutrition within many of the included countries is still very significant. However, the economic category of countries made no difference in explaining wealth-related inequality in child undernutrition. Inter-sectoral collaboration to fight poverty and render special attention to the disadvantaged population segments would potentially help to address the observed inequity.

Factors associated with public and private healthcare utilization for outpatient care among older adults in India: A Wagstaff's decomposition of Anderson's behavioural model.

In India, an expanding ageing population will become a public health alarm, putting additional pressure on the healthcare system. Therefore, the current study aimed to examine the factors associated with outpatient healthcare choices among older Indian adults. We used data from the first wave of the Longitudinal Ageing Study in India (LASI, 2017-2018). A total of 34,588 individuals (age 45years and over) who accessed outpatient healthcare services in the last 12months during the survey were included in this research. A bivariate chi-square test was used to present the percentage distribution of types of outpatient healthcare utilisation by background characteristics. Multinomial logistic regression and Wagstaff's decomposition analyses were employed to explore the interplay of outpatient healthcare utilisation and allied predisposing, enabling, and need factors and examine these factors' contributions to the wealth-based inequalities in public, private, and other healthcare utilisation. Outpatient healthcare utilisation varied significantly according to socioeconomic and demographic factors. The findings suggest that consumption quintiles, place of residence, education, and health insurance were significant determinants of private and public healthcare utilisation and contributed to wealth-based inequalities in healthcare choices. The current study emphasises the need to strengthen and promote public healthcare services.

Inequalities in Mortality in the Asia-Pacific: A Cross-National Comparison of Socioeconomic Gradients.

Social inequalities in mortality are poorly studied in much of the Asia-Pacific. Using data from harmonized nationally representative longitudinal health and aging surveys our study systematically assesses mortality disparities across 3 standardized measures of socioeconomic status in 7 Asia-Pacific countries. We used data from multiple waves of 7 representative sample surveys: the Health, Income and Labour Dynamics in Australia survey, China Health and Retirement Longitudinal Study, the Indonesian Family Life Survey, the New Zealand Health, Work and Retirement survey, the Korean Longitudinal Study on Ageing and the Health, Aging and Retirement in Thailand survey, and the Japanese Study of Aging and Retirement. We use Cox proportional hazards modeling to examine how the hazard of mortality differs across domains of social stratification including educational attainment, wealth, and occupational status across countries. We found consistent and pervasive gradients in mortality risk in the high-income countries by all available measures of social stratification. In contrast, patterns of inequality in adult mortality in middle-income and recently transitioned high-income countries investigated varied depending on the measure of social stratification, with strong gradients by wealth but mixed gradients by education. Analyzing social gradients in mortality in the Asia-Pacific shows that inequalities, especially wealth-based inequalities, in later-life health are present across the region, and that the magnitude of social gradients in mortality is overall larger in high-income countries as compared to middle-income countries.

Examining factors contributing to the socioeconomic inequalities in handgrip strength among older adults in India: a decomposition analysis

The purpose of this study was to examine (a) the socioeconomic status (SES)-related inequalities associated with handgrip strength (HGS); and (b) the extent to which several demographic, health, and behavioral factors contributed to such SES disparities in HGS among older adults in India. Data were drawn from the 2017–2018 wave 1 of the Longitudinal Ageing Study of India (LASI). The study sample included 27,707 older adults (13,199 men and 14,508 women) aged 60 years and older. HGS was assessed using a handheld Smedley's Hand Dynamometer with a cut-off of 19.5 kg for men and 12.5 kg for women. Bivariate analysis showed the weighted percentage distribution of weak HGS across respondent characteristics. Multivariate logistic regression assessed factors linked to weak HGS. The concentration curve and index (CCI) was used to determine the inequalities in the prevalence of weak HGS by wealth index scores. Wagstaff's decomposition approach was used to test the contribution of each explanatory variable to weak HGS. Around 9% of older adults in this study reported a weak HGS. It was significantly higher among those aged 80 or older (19.21%) and males (15.55%). Weak HGS was concentrated among older adults from poor SES (CCI: 0.05, p < 0.001). A higher percentage of wealth-based inequality in weak HGS was explained by being underweight (38.83%), belonging to the richest wealth quintile (27.95%), and having a higher subjective social status (32.20%). Moreover, about 23.29% of the inequality in weak HGS was explained by Western region and 22.54% by female gender. Additionally, having a secondary level of education explained a higher percentage (22.09%) of inequality, followed by current working status (− 20.68%). Rural residence (13.08%), limitations in instrumental activities of daily living (IADL) (12.21%), and engagement in yoga-related activities (11.55%) explained a higher percentage of wealth-based inequalities. The findings provide evidence of significant SES-related inequalities in HGS and the contribution of various demographic, health, and behavioral factors to such inequality. As such, public health policies and programs focusing on reducing the burden of disability must consider the contribution of social and economic equity to the preservation of muscle strength among older adults.

Spatiotemporal change in wealth-based inequalities in overweight/obesity among women of reproductive age in India, 2015–2021

BackgroundOverweight/obesity poses significant global health concerns, especially affecting women. This study aimed to measure changes in wealth-based inequality in overweight/obesity among women of reproductive age (WRA) across states of India from 2015 to 2021 and identify the contributing factors to this inequality. MethodsThe study used information on 582,851 and 587,435 women aged 15–49 from National Family Health Survey (NFHS)-4 (2015-16) and NFHS-5 (2019-21), respectively. Erreygers Concentration Index (ECI) was employed to measure the change in inequality over time. Further, ECI was decomposed to unravel the contributing factors to this inequality. ResultsOverweight/obesity among WRA in India increased from 20.3 % in NFHS-4 to 23.7 % in NFHS-5. A significant pro-rich inequality in overweight/obesity was observed at the national level and across all 28 states of India during both NFHS-4 and NFHS-5. The national wealth-based inequality reduced marginally over the study period (ECI: 0.25 in NFHS-4, ECI: 0.23 in NFHS-5), but at the state level, it rose in 8 states and declined in 16 states. Punjab witnessed the most significant increase (ECI: 0.10 in NFHS-4, ECI: 0.18 in NFHS-5) in inequality, while Maharashtra (ECI: 0.24 in NFHS-4, ECI: 0.16 in NFHS-5) saw the most significant decrease in inequality. The decomposition analysis results revealed that women's education, mass media exposure, and place of residence were major contributors, contributing more than 80 % to wealth-based inequality in overweight/obesity. ConclusionThe study highlights the growing prevalence of overweight/obesity among WRA in India, emphasizing that wealth-related inequalities in the prevalence of overweight/obesity represent a significant public health concern both at the national and state levels in India.

Socioeconomic inequality in knowledge about HIV/AIDS over time in Ethiopia: A population-based study.

Socioeconomic inequality in comprehensive knowledge about HIV/AIDS can hinder progress towards ending the epidemic threat of this disease. To address the knowledge gap, it is essential to investigate inequality in HIV/AIDS services. This study aimed to investigate socioeconomic inequality, identify contributors, and analyze the trends in inequality in comprehensive knowledge about HIV/AIDS among adults in Ethiopia. A cross-sectional study was conducted using 2005, 2011, and 2016 population-based health survey data. The sample size was 18,818 in 2005, 29,264 in 2011, and 27,261 in 2016. Socioeconomic inequality in comprehensive knowledge about HIV/AIDS was quantified by using a concentration curve and index. Subsequently, the decomposition of the concentration index was conducted using generalised linear regression with a logit link function to quantify covariates' contribution to wealth-based inequality. The Erreygers' concentration index was 0.251, 0.239, and 0.201 in 2005, 2011, and 2016, respectively. Watching television (24.2%), household wealth rank (21.4%), ever having been tested for HIV (15.3%), and education status (14.3%) took the significant share of socioeconomic inequality. The percentage contribution of watching television increased from 4.3% in 2005 to 24.2% in 2016. The household wealth rank contribution increased from 14.6% in 2005 to 21.38% in 2016. Education status contribution decreased from 16.2% to 14.3%. The percentage contribution of listening to the radio decreased from 16.9% in 2005 to -2.4% in 2016. The percentage contribution of residence decreased from 7.8% in 2005 to -0.5% in 2016. This study shows comprehensive knowledge about HIV/AIDS was concentrated among individuals with a higher socioeconomic status. Socioeconomic-related inequality in comprehensive knowledge about HIV/AIDS is woven deeply in Ethiopia, though this disparity has been decreased minimally. A combination of individual and public health approaches entangled in a societal system are crucial remedies for the general population and disadvantaged groups. This requires comprehensive interventions according to the primary health care approach.

Wealth-based inequality in the continuum of maternal health service utilisation in 16 sub-Saharan African countries

BackgroundPersistent inequalities in coverage of maternal health services in sub-Saharan Africa (SSA), a region home to two-thirds of global maternal deaths in 2017, poses a challenge for countries to achieve the Sustainable Development Goal (SDG) targets. This study assesses wealth-based inequalities in coverage of maternal continuum of care in 16 SSA countries with the objective of informing targeted policies to ensure maternal health equity in the region.MethodsWe conducted a secondary analysis of Demographic and Health Survey (DHS) data from 16 SSA countries (Angola, Benin, Burundi, Cameroon, Ethiopia, Gambia, Guinea, Liberia, Malawi, Mali, Nigeria, Sierra Leone, South Africa, Tanzania, Uganda, and Zambia). A total of 133,709 women aged 15-49 years who reported a live birth in the five years preceding the survey were included. We defined and measured completion of maternal continuum of care as having had at least one antenatal care (ANC) visit, birth in a health facility, and postnatal care (PNC) by a skilled provider within two days of birth. We used concentration index analysis to measure wealth-based inequality in maternal continuum of care and conducted decomposition analysis to estimate the contributions of sociodemographic and obstetric factors to the observed inequality.ResultsThe percentage of women who had 1) at least one ANC visit was lowest in Ethiopia (62.3%) and highest in Burundi (99.2%), 2) birth in a health facility was less than 50% in Ethiopia and Nigeria, and 3) PNC within two days was less than 50% in eight countries (Angola, Burundi, Ethiopia, Gambia, Guinea, Malawi, Nigeria, and Tanzania). Completion of maternal continuum of care was highest in South Africa (81.4%) and below 50% in nine of the 16 countries (Angola, Burundi, Ethiopia, Guinea, Malawi, Mali, Nigeria, Tanzania, and Uganda), the lowest being in Ethiopia (12.5%). There was pro-rich wealth-based inequality in maternal continuum of care in all 16 countries, the lowest in South Africa and Liberia (concentration index = 0.04) and the highest in Nigeria (concentration index = 0.34). Our decomposition analysis showed that in 15 of the 16 countries, wealth index was the largest contributor to inequality in primary maternal continuum of care. In Malawi, geographical region was the largest contributor.ConclusionsAddressing the coverage gap in maternal continuum of care in SSA using multidimensional and people-centred approaches remains a key strategy needed to realise the SDG3. The pro-rich wealth-based inequalities observed show that bespoke pro-poor or population-wide approaches are needed.

Wealth-Based Inequalities in Higher Education Attendance: A Global Snapshot

This study provides a comprehensive global snapshot of wealth-based inequalities in higher education attendance. We draw on data from 117 countries to describe cross-national patterns in higher education attendance rates, disaggregated by wealth quintile and country income group. We then calculate four different indicators to quantify the size of wealth-based inequality in higher education attendance and completion for each country. Our findings point to large wealth-based inequalities in higher education attendance cross-nationally, which are: substantially larger than inequalities in secondary completion, larger in low- and middle-income countries than high-income countries, and negatively associated with national wealth. The results serve as a foundation for future studies on how country-level factors and policies exacerbate or reduce wealth-based inequalities.

Assessing the sustainability of two independent voucher-based family planning programs in Pakistan: a 24-months post-intervention evaluation

IntroductionFamily planning vouchers have emerged as a promising approach to improve coverage of underserved groups or underutilized services. The current study was designed to measure the residual/longer-term impact of two-independent FP voucher programs on women’s practices beyond the program’s life program.MethodsA cross-sectional survey conducted, as part of the two-independent larger mixed-method studies, approximately 24 months after the close-down of Marie Stopes Society and Greenstar Social Marketing family planning voucher intervention programs in Punjab, Pakistan. Following necessary ethics approvals, 338 voucher MSS clients & 324 voucher GSM clients were interviewed using a structured questionnaire at the household level.ResultsCompared with end-line data, a significant decrease in the modern contraceptive uptake in both MSS (90% at endline to current (or post-endline) 52%) and GSM (from 84% to current 56%) intervention sites among the voucher clients was noted. Among MSS voucher clients, the highest decline in use was observed in IUCD (54% at endline versus to current 13%); however no change between the surveys was noted among GSM clients. In both projects, following closure of voucher intervention 34% of the discontinued users in MSS and 29% in GSM sites adopted/switched to a new modern contraceptive again. In the post-intervention survey, wealth-based inequality in GSM data depicts more pro-rich utility for modern methods, indicating pro-rich inequality, in contrast, the post-intervention survey in MSS found mixed results such as pro-poor inequality for any method and modern method use.ConclusionsThe prevalence for contraception in two-independent study sites, following closure of voucher intervention remained high than national average. This study provides evidence that family planning vouchers can bring about an enduring positive change in clients’ behaviours in using modern contraceptive methods among poor populations among both intervention models. These results are useful to design family planning programs that will sustain when the donor funding terminates.

Patterns in the prevalence and wealth-based inequality of cervical cancer screening in India

BackgroundCervical cancer is the second leading cause of deaths due to cancer among women in India. This study assesses the prevalence of cervical cancer screening among women in the 30 to 49 years age-group and its relation to demographic, social and economic factors. The equity in the prevalence of screening is studied with respect to the women’s household wealth.MethodsData from the fifth National Family Health Survey are analyzed. The adjusted odds ratio is used to assess the prevalence of screening. The Concentration Index (CIX) and the Slope Index of Inequality (SII) are analyzed to assess the inequality.ResultsThe average national prevalence of cervical cancer screening is found to be 1.97% (95% C.I, 1.8–2.1), ranging from 0.2% in West Bengal and Assam to 10.1% in Tamil Nadu. Screening is significantly more prevalent among the following demographics: educated, higher age group, Christian, scheduled caste, Government health insurance coverage, and high household wealth. Significantly lower prevalence is found among Muslim women, women from scheduled tribes, general category castes, non-Government health insurance coverage, high parity, and those who use oral contraceptive pills and tobacco. Marital status, place of residence, age at first sexual activity, and IUD usage are not significant influencers. At the national level, CIX (0.22 (95% C.I, 0.20–0.24)) and SII (0.018 (95% C.I, 0.015–0.020)) indicate significantly higher prevalence of screening among women from the wealthier quintiles. Significantly higher screening prevalence among wealthier quintiles in the North-East (0.1), West (0.21) and Southern (0.05) regions and among the poor quintiles in the Central (-0.05) region. Equiplot analysis shows a “top inequality pattern” in the North, North-East and Eastern regions, with overall low performance where the rich alone manage to avail screening. The Southern region exhibits an overall progress in screening prevalence with the exception of the poorest quintile, which is left behind. Pro-poor inequality exists in the Central region, with significantly higher prevalence of screening among poor.ConclusionThe prevalence of cervical cancer screening is very low (2%) in India. Cervical cancer screening is substantially higher among women with education and Government Health insurance coverage. Wealth-based inequality exists in the prevalence of cervical cancer screening and the prevalence is concentrated among the women from wealthier quintiles.

A Decomposition Analysis to Understand the Wealth-Based Inequalities in Child Vaccination in Rural Southern Assam: A Cross-Sectional Study.

The socio-environmental aspects of southern Assam reflect a general pattern of backwardness. Moreover, child healthcare resources in the region are inadequately used, leading to low vaccination coverage. Given this background, this paper attempted to comprehend wealth-based inequality in full vaccination in rural areas of southern Assam. Based on a multistage cluster sampling approach, 360 children of 12-23 months were selected from the study area. To identify the predictors of a child, a non-linear model was estimated by using the generalized linear model (GLM) approach followed by Erreygers decomposition technique to quantify the wealth inequality in the obtained predictors in explaining the disparity in full vaccination. The Bacillus Calmette-Guérin (BCG) vaccination recorded the highest vaccination coverage, at nearly 90% and the lowest was observed for the measles vaccine, around 61 percent. Slightly more than half of the eligible children (54 percent) were vaccinated against all the Universal Immunization Programme (UIP)-recommended vaccines. The decomposition analysis revealed that the occupation of the child's father, maternal age, birth order of the child, and health-seeking behavior such as antenatal care (ANC) were the prime factors related to inequality in full vaccination in the region. Vaccination coverage in the region has improved over time, however, full vaccination is concentrated towards the economically advantaged section of the society in rural southern Assam. Targeted, context-specific, and expanded government initiatives could aid in addressing the overall wealth-related full vaccination inequalities in the valley.

Wealth-based inequality in the exclusive use of hygienic materials during menstruation among young women in urban India.

The exclusive use of hygienic materials during menstruation (sanitary napkins, locally made napkins, tampons, and menstrual cups) among urban women in India has been increasing over time. However, little is known about the wealth-based disparity in the exclusive use of hygienic materials during menstruation among these women. This study, therefore, measures wealth-based inequality in the exclusive use of hygienic materials during menstruation among urban women in India. Furthermore, the measured inequality is decomposed to unravel its contributing factors. Using data from the National Family Health Survey-5 (2019-21), we calculated the Erreygers normalized concentration index (CI) for India and each of its states to measure wealth-based inequality in the exclusive use of hygienic materials during menstruation among women in urban India. Further, we decomposed the Erreygers CI to estimate the relative contribution of covariates to wealth-based inequality in the exclusive use of hygienic materials during menstruation. The analysis included 54,561 urban women aged 15-24 from 28 states and eight union territories of India. The Erreygers CI value of 0.302 indicated a pro-rich inequality in the exclusive use of hygienic materials among urban women in India. While all the states and UTs showed pro-rich inequality, the CI varied considerably across the country. Among the bigger states, the inequality was highest in Madhya Pradesh (CI: 0.45), Assam (CI: 0.44), Bihar (CI: 0.41), and West Bengal (CI: 0.37) and the lowest in the south Indian states of Tamil Nadu (CI: 0.10), Andhra Pradesh (CI: 0.15), Telangana (CI: 0.15), and Kerala (CI: 0.20). Erreygers decomposition revealed that wealth-based inequality in women's education and mass media exposure contributed almost 80% of the wealth-based inequality in the exclusive use of hygienic materials during menstruation among urban women in India. Substantial pro-rich inequality in the exclusive use of hygienic materials suggests that the policies and program initiatives should prioritize reaching out to poor women to increase the overall rate of exclusive use of hygienic materials during menstruation in urban India.

Wealth disparity and frailty among community-dwelling older adults in India

BackgroundDue to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality.MethodsData were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality.ResultsThe prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty.ConclusionsResults suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background.

Wealth as a Feminist Issue

ABSTRACT Why look at wealth now? How is wealth a feminist issue? This introduction to our special issue on Wealth sets out how and why wealth is a feminist issue in the context of twenty-first-century capitalism. In particular, it highlights how the transition from a wage-based society to an asset-based wealth society requires urgent feminist attention, especially to the gendered and racialised dimensions of existing and emerging wealth-based inequalities.

Inequalities in the health, nutrition, and wellbeing of Afrodescendant women and children: A cross-sectional analysis of ten Latin American and Caribbean countries

Afrodescendants are systematically affected by discrimination in the Americas and few multi-country studies addressed ethnic inequalities in health and wellbeing in the region. We aimed to investigate gaps in coverage of key health outcomes and socioeconomic inequalities between Afrodescendants and non-Afrodescendants populations in Latin American and Caribbean countries. Using national household surveys (2011-2019) from ten countries, we analyzed absolute inequalities between Afrodescendants and a comparison group that includes non-Afrodescendants and non-Indigenous individuals (henceforth non-Afrodescendants) across 17 indicators in the continuum of reproductive, maternal, newborn, child, and adolescent health. These include indicators of family planning, antenatal care, delivery assistance, child nutrition, immunization coverage, child protection, access to improved water, sanitation and hygiene, adolescent fertility, and early childhood mortality. Inequalities between country-specific subgroups of Afrodescendants were also explored. The slope index of inequality was used to assess wealth-based inequalities within each ethnic group. Afrodescendants represented from 2·8% (Honduras) to 59·1% (Brazil) of the national samples. Of the 128 combinations of country and indicators with data, Afrodescendants fared worse in 78 (of which 33 were significant) and performed better in 50 (15 significant). More systematic disadvantages for Afrodescendants were found for demand for family planning satisfied, early marriage, and household handwashing and sanitation facilities. In contrast, Afrodescendants tended to present lower c-section rates and lower stunting prevalence. Honduras was the only country where Afrodescendants performed better than non-Afrodescendants in several indicators. Wealth gaps among Afrodescendants were wider than those observed for non-Afrodescendants for most indicators and across all countries. Gaps in health outcomes between Afrodescendants and non-Afrodescendants were observed in most countries, with more frequent disadvantages for the former although, in many cases, the gaps were reversed. Wealth inequalities within Afrodescendants tended to be wider than for non-Afrodescendants. Pan American Health Organization, Bill and Melinda Gates Foundation, and the Wellcome Trust.

Equity in antenatal care visits among adolescent mothers: An analysis of 54 country levels trend and projection of coverage from 2000 to 2030.

BackgroundEnsuring utilization of antenatal care (ANC) services by adolescent mothers (ages 10-19) is an enormous challenge in low-and middle-income countries (LMICs). This study provides the first comprehensive analysis of ANC visits among adolescent and adult mothers.MethodsUsing all available Demographic and Health Survey and Multiple Indicator Cluster Surveys between 2000 and 2019 in 54 LMICs, we estimated proportion of ANC visits among women. Bayesian hierarchical regression models were used to estimate trend, projection, and determinants of single and four ANC visits (ANC1 and ANC4) independently. Equity analysis were performed to assess the magnitude of wealth-based and urban-rural inequalities in access to ANC visits.ResultsCompared to women aged 36-49 years, coverage of ANC1 and ANC4 are expected to increase significantly for adolescent mothers and women aged 20-35 years. This increase was observed at the national level, as well as both urban and rural areas in most countries between 2000 and 2030. By 2030, the coverage of ANC1 is predicted to reach 80% or more in all countries except Angola, Central African Republic and Togo, whereas only 16 countries are predicted to reach 80% or more for ANC4. According to wealth quintile, the lowest inequalities with highest coverage of 80% or more ANC4 will be observed in Armenia, Cambodia, Dominican Republic, Ghana, Maldives, Indonesia, and Sao Tome and Principe in 2030. Determinant analysis found increased odds of receiving ANC visits during pregnancy for adolescent mothers with higher educational levels, frequency of listening/watching mass media, and various household socio-economic status factors.ConclusionsThis study calls for advanced, innovative and cost-effective approaches to increase ANC coverage among adolescent mothers, particularly in rural areas and/or in low socioeconomic groups.

A decade of conditional cash transfer programs for reproductive health in India: How did equality fare?

BackgroundSince 2005, India has implemented conditional cash transfer [CCT] programs to promote the uptake of institutional delivery services [ID]. The study aims to assess changes in wealth-based inequality in the use of ID and other maternal health care services during the first decade of Janani Suraksha Yojana and related CCT programs.MethodsData from two Demographic and Health Surveys were used to calculate changes in service inequality from 2005 to 2015–16 in the use of three or more antenatal care [ANC] visits, ID, and postnatal care [PNC]. The changes were assessed at the national level, within high and low performing states [HPS and LPS, respectively] and within urban and rural areas of each state category. Erreygers Index [EI] and Wagstaff Index [WI], superior to concentration index, were used to gain different insights into the nature of inequality. EI is an objective measure of inequality irrespective of prevalence while WI is a combined measure of inequality and the average distribution of an indicator that puts more weight on the poor.ResultsThe results suggest that wealth-based inequalities decreased significantly at the national level. For ID, both indices showed a decline in both HPS and LPS though the change in WI in HPS was insignificant. For ANC, there was a significant decrease in inequality using both indices in HPS but not in LPS. For PNC, there was a significant decrease in inequality using both indices in HPS, and when using WI in LPS, but not when using EI in LPS.ConclusionOverall, the first decade of India’s CCT programs saw an impressive reduction in EI for ID but less so for WI suggesting that the benefit of CCTs did not go disproportionately to the poor, which suggests that there is a need to reduce or eliminate the evident leakages. The improvement in uptake and inequality in ANC and PNC was not at par with ID, stressing the need to place greater focus on the continuum of care. The urban rural difference in HPS versus LPS in the changes in inequality reveals that infrastructure is important for CCTs to be more effective.

Institutional deliveries in India: a study of associates and inequality

PurposeIndia has shown good progress in maternal health outcome indicators. However, an area for improvement is to ensure all deliveries take place in institutions under the supervision of skilled birth attendants. This paper attempts to identify the factors that affect institutional deliveries using nationally representative National Family Health Survey (NFHS) data. Further, the authors investigate the factors contributing to the wealth-based inequality in institutional deliveries.Design/methodology/approachTo address the first aspect of identifying the factors associated with undergoing an institutional delivery, the authors have used logistic and multinominal logistic models. The explanatory variables are broadly socio-economic indicators of the mother and a few other household characteristics. Further, the concentration index and regression-based decomposition were used to carry out an inequality analysis in the institutional deliveries across different wealth groups.FindingsThe authors found that women belonging to poor households, backward social groups and rural areas have significantly fewer odds of undergoing an institutional delivery. Age and education level of the mother, number of antenatal visits during pregnancy and place of residence (urban/rural) have contributed to the inequality in institutional deliveries in 2005–2006. However, the inequality due to these factors went down drastically in 2015–2016.Originality/valueTo the best of the authors' knowledge, this study is a distinct attempt to use pooled data of the NFHS-3 [2005–2006] and NFHS-4 [2015–2016] in identifying factors contributing to a woman undergoing an institutional-based delivery. The study also decomposes the wealth-based inequality in the factors contributing to having an institutional delivery and analyses the contributions to inequality across the two time periods.