Wealth-related Inequality Research Articles

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.

Vaccination dropout and wealth related inequality among children aged 12-35 months in remote and underserved settings of Ethiopia: a cross-sectional evaluation survey.

Vaccination is one of the most cost-effective public health interventions that prevents millions of deaths. Although immunization coverage is increasing globally, many children in low- and middle-income countries drop out of the vaccination continuum. This study aimed at determining vaccination dropout rates and predictors in children aged 12-35 months in remote and underserved areas of Ethiopia. This study was part of a cross-sectional evaluation survey that was conducted in 2022 in Ethiopia. The study settings include pastoralist, developing & newly established regions, conflict affected areas, urban slums, internally displaced populations and refugees. A sample of 3,646 children aged 12-35 months were selected using a cluster sampling approach. Vaccination dropout was estimated as the proportion of children who did not get the subsequent vaccine among those who received the first vaccine. A generalized estimating equation was used to assess determinants of the dropout rate and findings were presented using an adjusted odds ratio with 95% confidence interval. Concentration curve and index were used to estimate wealth related inequality of vaccination dropout. A total of 3,646 caregivers of children participated in the study with a response rate of 97.7%. The BCG to Penta-3 (52.5%), BCG to MCV-2 (57.4%), and Penta-1 to Penta-3 (43.9%) dropouts were all high. The highest Penta-1 to Penta-3 dropout rate was found in developing regions (60.1%) and the lowest was in urban slums (11.2%). Caregivers who were working outside their homes [AOR (95% CI) = 3.67 (1.24-10.86)], who had no postnatal care follow-up visits [AOR (95%CI) = 1.66 (1.15-2.39)], who did not receive a service from a skilled birth attendant [AOR (95%CI) = 1.64 (1.21-2.27)], who were older than 45 years [AOR (95% CI) = 12.49 (3.87-40.33)], and who were less gender empowered [AOR (95%CI) = 1.63 (1.24-2.15)] had increased odds of Penta-1 to Penta-3 dropout. The odds of dropout for children from poor caregivers was nearly two times higher compared to their wealthy counterparts [AOR (95%CI) = 1.87 (1.38-2.52)]. Vaccination dropout estimates were high among children residing in remote and underserved settings. Poor wealth quintile, advanced maternal age, low women empowerment, and limited utilization of maternity care services contributed to vaccination dropout.

Trend of sociodemographic and economic inequalities in the use of maternal health services in Lao People’s Democratic Republic from 2006 to 2017: MICS data analysis.

BackgroundMaternal mortalities remain high in the Lao People’s Democratic Republic (Lao PDR). Since 2012, to improve access to maternal health services for all women, the country implemented several policies and strategies including user fee removal interventions for childbirth-related care. However, it remains unclear whether inequalities in access to services have reduced in the post-2012 period compared to pre-2012. Our study compared the change in sociodemographic and economic inequalities in access to maternal health services between 2006 to 2011–12 and 2011–12 to 2017.MethodsWe used the three most recent Lao Social Indicator Survey datasets conducted in 2006, 2011–12, and 2017 for this analysis. We assessed wealth, area of residence, ethnicity, educational attainment, and women’s age-related inequalities in the use of at least one antenatal care (ANC) visit with skilled personnel, institutional delivery, and at least one facility-based postnatal care (PNC) visit by mothers. The magnitude of inequalities was measured using concentration curves, concentration indices (CIX), and equiplots.ResultsThe coverage of at least one ANC with skilled personnel increased the most between 2012 and 2017, by 37.1% in Hmong minority ethnic group women, 36.1% in women living in rural areas, 31.1%, and 28.4 in the poorest and poor, respectively. In the same period, institutional deliveries increased the most among women in the middle quintiles by 32.8%, the poor by 29.3%, and Hmong women by 30.2%. The most significant reduction in inequalities was related to area of residence between 2006 and 2012 while it was based on wealth quintiles in the period 2011–12 to 2017. Finally, in 2017, wealth-related inequalities in institutional delivery remained high, with a CIX of 0.193 which was the highest of all CIX values.ConclusionThere was a significant decline in inequalities based on the area of residence in the use of maternal health services between 2006 and 2011–12 while between 2011–12 and 2017, the largest decrease was based on wealth quintiles. Policies and strategies implemented since 2011–12 might have been successful in improving access to maternal health services in Lao PDR. Meanwhile, more attention should be given to improving the uptake of facility-based PNC visits.

Children's and adolescents' evaluations of wealth-related STEM inequality.

The fields of science, technology, engineering, and mathematics (STEM) are rife with inequalities and under-representation that have their roots in childhood. While researchers have focused on gender and race/ethnicity as two key dimensions of inequality, less attention has been paid to wealth. To this end, and drawing from the Social Reasoning Development approach, we examined children's and adolescents' perceptions of STEM ability and access to opportunities as a function of wealth, as well as their desire to rectify such inequalities. Participants (n=234: early childhood, n=70, mean age=6.33, SD=.79; middle childhood, n=92, mean age=8.90, SD=.83 and early adolescence, n=62, mean age=12.00; SD=1.16) in the U.K. (64% White British) and U.S. (40% White/European American) read about two characters, one high-wealth and one low-wealth. In early childhood, participants reported that the high-wealth character would have greater STEM ability and were just as likely to invite either character to take part in a STEM opportunity. By middle childhood, participants were more likely to report equal STEM abilities for both characters and to seek to rectify inequalities by inviting the low-wealth character to take part in a STEM opportunity. However, older participants reported that peers would still prefer to invite the high-wealth character. These findings also varied by ethnic group status, with minority status participants rectifying inequalities at a younger age than majority status participants. Together these findings document that children are aware of STEM inequalities based on wealth and, with age, will increasingly seek to rectify these inequalities.

Spatial distribution of delayed initiation of antenatal care visits and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini-demographic and health survey

ObjectivesThis study aimed to assess the spatial distribution, wealth-related inequality and determinants for delayed initiation of antenatal care (ANC) visits among reproductive-age women in Ethiopia.DesignCross-sectional study design.SettingEthiopia.ParticipantsA total of 2924...

Socioeconomic inequality in early sexual initiation among female youths in sub-Saharan African countries: a decomposition analysis

IntroductionYouths are defined as individuals within the age group 15–24 years. It is the transitional stage from childhood to adulthood with biological, social, and psychological change, so it is a time of risk and opportunity for their future life. Early sexual initiation exposes young people to various social, economic, sexual, and reproductive health issues, such as unwanted adolescent pregnancies, sexually transmitted infections, unsafe abortion, cervical cancer, and early marriages. Therefore, this study aimed to assess the presence of socioeconomic inequality in early sexual initiation and contributing factors in sub-Saharan African countries.MethodsA total of 118,932 weighted female youths from SSA countries’ DHS data were included in the study. Socioeconomic inequality of Early sexual initiation was evaluated using the Erreygers znormalized concentration index and associated concentration curve. Decomposition analysis was performed to determine those factors causing socioeconomic-related inequality.ResultsThe weighted Erreygers normalized concentration index of wealth-related inequality of early sexual initiation was − 0.157 with a Standard error = 0.0046 (P value < 0.0001); this indicated that early sexual initiation was disproportionately concentrated among the poor (pro-poor). Moreover, the weighted Erreygers normalized concentration index (ECI) of educational status-related inequality of early sexual initiation was − 0.205 with a Standard error = 0.0043 (P value < 0.0001). This indicated that early sexual initiation was disproportionately concentrated among youths with no formal education. The decomposition analysis revealed that mass media exposure, wealth index, place of residency, religion, marital status, educational status, and age were significant contributors to the pro-poor socioeconomic inequalities in early sexual initiation.Conclusion and recommendationThis study has revealed pro-poor inequality in early sexual initiation. Therefore, priority must be given to modifiable factors such as promoting the accessibility of media exposure in the household, improving the educational opportunity of female youths, and improving their country’s economy to a higher economic level to improve the wealth status of the population.

Wealth inequalities in physical and cognitive impairments across Japan and Europe: the role of health expenditure and infrastructure

Although prior research has provided insights into the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study measures wealth-related inequalities in physical and cognitive impairments and examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data on non-institutionalized individuals aged 50–75 from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE) (N = 31,969 for physical impairments and 31,348 for cognitive impairments). Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. We applied a concentration index to quantify the degree of wealth inequalities in impairments. The findings indicate that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied by country. Furthermore, a higher share of public health spending, lower out-of-pocket expenditure, and higher investment in healthcare resources were associated with lower wealth inequalities, especially for physical impairments. Our findings suggest that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Maternal mortality, stillbirths, and neonatal mortality: a transition model based on analyses of 151 countries

Maternal mortality, stillbirths, and neonatal mortality account for almost 5 million deaths a year and are often analysed separately, despite having overlapping causes and interventions. We propose a comprehensive five-phase mortality transition model to improve analyses of progress and inform strategic planning. In this empirical data-driven study to develop a model transition, we used UN estimates for 151 countries to assess changes in maternal mortality, stillbirths, and neonatal deaths. On the basis of ratios of maternal to stillbirth and neonatal mortality, we identified five phases of transition, in which phase 1 has the highest mortality and phase 5 has the lowest. We used global databases to examine phase-specific characteristics during 2000-20 for causes of death, fertility rates, abortion policies, health workforce and financing, and socioeconomic indicators. We analysed 326 national surveys to assess service coverage and inequalities by transition phase. Among 116 countries in phases 1 to 4 in 2000, 73 (63%) progressed at least one phase by 2020, six advanced two phases, and three regressed. The ratio of stillbirth and neonatal deaths to maternal deaths increased from less than 10 in phase 1 to well over 50 in phase 4 and phase 5. Progression was associated with a declining proportion of deaths caused by infectious diseases and peripartum complications, declining total and adolescent fertility rates, changes in health-workforce densities and skills mix (ie, ratio of nurses or midwives to physicians) from phase 3 onwards, increasing per-capita health spending, and reducing shares of out-of-pocket health expenditures. From phase 1 to 5, the median coverage of first antenatal care visits increased from 66% to 98%, four or more antenatal care visits from 44% to 94%, institutional births from 36% to 99%, and caesarean section rates from 2% to 25%. The transition out of high-mortality phases involved a major increase in institutional births, primarily in lower-level health facilities, whereas subsequent progress was characterised by rapid increases in hospital births. Wealth-related inequalities reduced strongly for institutional birth coverage from phase 3 onwards. The five-phase maternal mortality, stillbirth, and neonatal mortality transition model can be used to benchmark the current indicators in comparison to typical patterns in the transition at national or sub-national level, identify outliers to better assess drivers of progress, and inform strategic planning and investments towards Sustainable Development Goal targets. It can also facilitate programming for integrated strategies to end preventable maternal mortality and neonatal mortality and stillbirths. Bill & Melinda Gates Foundation.

Socioeconomic inequalities in maternal healthcare utilization: An analysis of the interaction between wealth status and education, a population-based surveys in Tanzania.

Limited scientific, evidence has so far described the interactions between socioeconomic factors and the gap of inequalities in maternal healthcare utilization. This study assessed the interaction between wealth status and education to identify women with greater disadvantage. This analysis used secondary data from the three most recent rounds (2004, 2010, and 2016) of the Tanzania Demographic Health Survey (TDHS). Maternal healthcare utilization was assessed based on six services (outcomes) which are i) booking during the first trimester (bANC), ii) at least four antenatal visits (ANC4+), iii) adequate antenatal care (aANC), iv) facility-based delivery (FBD), v) skilled birth attendance (SBA), vi) cesarean section delivery (CSD). The concentration curve and the concentration index were used to measure socioeconomic inequality in maternal healthcare utilization outcomes. The interaction coefficients suggest that each unit increase in the wealth status is significantly associated with higher odds of utilizing all maternal healthcare services for women with primary and secondary or higher education compared to those with no education (booking during the first trimester [AOR = 1.30; 95% CI: 1.08-1.57], at least four antenatal visits [AOR = 1.16; 95% CI: 1.01-1.33], facility-based delivery [AOR = 1.29; 95% CI: 1.12-1.48], skilled birth attendance [AOR = 1.31; 95% CI: 1.15-1.49]). The highest wealth-related inequality in bANC (EI: 0.166), at least four antenatal visits (EI: 0.259), FBD (EI: 0.323) and skilled birth attendance (EI: 0.328) (P < 0.05) was observed among women with primary and secondary or higher education. These findings provide strong evidence that there is an interaction effect between education attainment and wealth status in socioeconomic inequalities of maternal health services utilization. Therefore, any approach which will address both women's education and wealth status might be the first step to reducing socioeconomic inequalities in maternal health services utilization in Tanzania.

Changes in Socioeconomic Inequalities in Unintended Pregnancies Among Currently Married Women in India.

Despite the consistent prevalence of unintended pregnancies in India and its adverse impact on maternal and neonatal mortality, the literature discussing socioeconomic inequality remains scarce. This study aims to assess the change in wealth-related inequalities in unintended pregnancy in India from 2005-2006 to 2019-20 and to quantify the contribution of various factors towards inequality. The present study analyzed cross-sectional data from the third and fifth rounds of the National Family Health Survey (NFHS). The information on fertility preferences and pregnancy intention of most recent live birth during the five years preceding the survey was collected from eligible women. The concentration index and Wagstaff decomposition were used to analyze wealth-related inequality and the contributing factors. Our results show that the prevalence of unintended pregnancy has declined in 2019-20 to 8% from 22% in 2005-2006. With the increase in education and wealth status, unintended pregnancy decreases significantly. The results of the concentration index depict that unintended pregnancy is more concentrated among the poor than the rich in India, and the individual's wealth status has the highest contribution to unintended pregnancy inequality. Other factors like mothers' BMI, place of residence and education also contribute majorly to the inequality. The study results are critical and increase the need for strategies and policies. Disadvantaged women need education and family planning information, plus access to reproductive health resources. Governments should improve accessibility and quality of care in family planning methods to prevent unsafe abortions, unwanted births, and miscarriages. Further research is needed to investigate the impact of social and economic status on unintended pregnancies.

Spatial distribution and associated factors of severe malnutrition among under-five children in Ethiopia: further analysis of 2019 mini EDHS

BackgroundMalnutrition is both a significant cause and a result of poverty and deprivation. In developing nations, child malnutrition is still the main public health issue. Severe malnutrition affects every system of the body and leads to medical instability. The assessment of the burden of severe malnutrition is important for ready-to-use therapeutic foods and preparing therapy for these conditions. Therefore, this study aimed to assess the prevalence and spatial distribution of severe malnutrition and the factors associated with it.MethodsData from the 2019 Mini-EDHS (Ethiopian Demographic and Health Surveys) with stratified sampling techniques were used. The data were weighted using sample weight to restore the data's representativeness and provide accurate statistical estimations. A total of 5,006 weighted samples of children under the age of five were used to analyze the study. A multilevel binary logistic regression model was built, and a cutoff P-value of 0.05 was used. The wag staff normalized concentration index and curve as well as spatial analysis were used.ResultsThe prevalence of severe malnutrition practice among under five years children in Ethiopia was 14.89% (95%CI: 13.93%, 15.91%), and ranges from 4.58% in Addis Ababa to 25.81% in the Afar region. Women with secondary and above education status as compared to uneducated [AOR = 0.17; 95%CI;[0.06, 0.48], high community women's education as compared to low [AOR = 0.54; 95%CI; 0.36, 0.78], women from richest household as compared to poorest [AOR = 0.63; 95%CI; 0.26, 0.94] and living in Oromia region as compared to Tigray [AOR = 0.33: 95%CI; 0.15, 0.74] were preventive factors. Whereas children 24–59 months of age as compared to under six months [AOR = 1.62; 95%CI; 1.50, 1.75], and being multiple births as compared to single [AOR = 5.34; 95%CI; 1.36,2 1.01] have significant risk factors for severe malnutrition. There was a pro-poor distribution of severe malnutrition among under-five children in Ethiopia with a concentration index of -0.23 [95%CI: -0.27, -0.19]. Severe malnutrition has significant spatial variation over regions in the country where the entire Afar, Eastern Amhara, Southern, and eastern Tigray regions were severely affected (RR = 1.72, P-value < 0.01).Conclusion and recommendationsThe prevalence of severe malnutrition in Ethiopia is relatively high as compared to other studies and most of them were severe chronic malnutrition. Having an educated mother/caregiver, and living in a cluster with high community women's education were preventive factors for severe malnutrition in children. Whereas having an unmarried mother/caregiver, old age of the child, plurality of birth, and having double children in the family have a positive association with it. Moreover, it was disproportionately concentrated in poor households (pro-poor distribution).The spatial distribution of childhood severe malnutrition was not random. Regions like Tigray, Afar, Eastern parts of Amhara, and Somalia regions should be considered priority areas for nutritional interventions for reducing severe malnutrition. Equity-focused nutritional interventions could be needed to curb the wealth-related inequalities of childhood severe malnutrition.

Socioeconomic inequality in smoking: Evidence from a decomposition analysis

ProblemVietnam is a lower-middle-income country with a very high prevalence of smoking among men. The poor are more likely to smoke than the better off. In this study, we examine socioeconomic inequality in smoking and factors associated with the wealth-related inequality of smoking in Vietnam. MethodsWe use data from the 2010 and 2015 Global Adult Tobacco Surveys (GATS). We use a concentration index approach to assess differences in smoking behavior over the distribution of wealth levels. We also use the regression-based decomposition method developed by Wagstaff et al. (2003) and Doorslaer and Koolman (2004) to decompose wealth-related inequality in smoking into inequalities in wealth and other explanatory variables, such as men's age and education. ResultsPoorer men are more likely to smoke and smoke more than those better off. In 2015, 47.9% in the poorest wealth quintile smoked every day compared to 29.1% in the richest quintile. In 2015, the concentration index of wealth-related inequality in daily smoking was estimated at −0.104 (CI: 0.135; −0.072). Education and occupation are important factors in wealth-related inequality in smoking, because the poor tend to have lower education levels and are employed in unskilled jobs but are more likely than the rich to be smokers. At 41.4%, unskilled workers make the largest contribution to wealth-related inequality in smoking. ConclusionsOur findings suggest that tobacco prevention efforts should be focused on poor, less educated people. Policies that boost the access of the poor to education and better employment can help them not only increase their wealth level but also reduce smoking, thereby narrowing the wealth-inequality gap in smoking.

Hypertension in India: Trends in Wealth-related Inequalities from the National Family Health Surveys.

India depicts a very high prevalence of hypertension. We need to learn more about the effect of wealth-related disparities on the prevalence of hypertension. The primary objective of this study was to assess temporal changes in the epidemiology of hypertension and associated wealth-related disparities among adults using two waves of nationally representative datasets from India. We did a secondary data analysis of the National Family Health Survey (NFHS) rounds 4 and 5. We included information from the two rounds from 699,686 and 108,791 males and 92,804 and 677,803 females. Weighted analysis and multivariate binomial regression were used to depict the prevalence and predictors of hypertension. Inequalities were estimated using the concentration index (CI) and concentration curves. The weighted prevalence of hypertension among males increased from 14.6% to 16.7% among males, and from 8.8% to 9.9% among females, between NFHS-4 and NFHS-5. Prehypertension rose from 43.3% to 48.3% for males, and females, from 30.2% to 36.2% between the NFHS rounds. Overall, the CI among the males (0.078 and 0.050) and females (0.102 and 0.059) decreased from rounds 4 to 5, depicting a decrease in pro-poor wealth-related inequalities in hypertension prevalence in India. To conclude, the current analysis depicts that inequalities due to which hypertension was more prevalent in the wealthier classes in India are slowly disappearing. Therefore, we need to target the already exhausted poor patients with limited access to health-care resources to prevent them from further shifting beyond the line of poverty before these differences narrow down further.

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 INEQUALITIES IN PHYSICAL AND COGNITIVE IMPAIRMENTS AMONG OLDER ADULTS ACROSS EUROPE AND JAPAN

Abstract Although prior research has provided insights on the association between country-level factors and health inequalities, key research gaps remain. First, most previous studies examine subjective rather than objective health measures. Second, the wealth dimension in health inequalities is understudied. Third, a handful of studies explicitly focus on older adults. To bridge these research gaps, this study aims to: i) measure wealth-related health inequalities in physical and cognitive impairments; and ii) examines the extent to which welfare states moderate wealth inequalities in physical and cognitive impairments among older people across Japan and Europe. We utilized harmonized data of non-institutionalized individuals aged 50-75 for physical and cognitive impairments from the Japanese Study of Aging and Retirement (JSTAR) and the Survey of Health, Ageing and Retirement in Europe (SHARE), for (n= 31,969 and 31,348, respectively). We applied a concentration index to quantify the degree of wealth inequalities in impairments. Our multilevel linear regression analyses examined whether national public health spending and healthcare access resources explained cross-country differences in wealth inequalities in physical and cognitive impairments. Findings indicated that inequalities in both impairment outcomes favored wealthier individuals in all countries, but the magnitude of inequality varied across countries under examination. Furthermore, a higher share of public health spending, lower out-of-pocket expenditures, and higher investment in healthcare resources were associated with lower wealth inequalities especially for physical impairments. Our findings suggests that different health interventions and policies may be needed to mitigate specific impairment inequalities.

Inequality in prevalence, awareness, treatment, and control of hypertension in Iran: the analysis of national households’ data

BackgroundProviding an equitable Universal Health Coverage (UHC) is key for progressing towards the sustainable development goals in the health systems. To help policymakers make hypertension services more equitable with existing (limited) resources in Iran, we examined the inequality of the prevalence, awareness, treatment, and control (PATC) of hypertension as the four indicators of hypertension UHC in Iran. MethodsThis research was a cross-sectional study of inequality of PATC of hypertension using a representative sample of Iranians aged ≥ 25 years from the Iran 2016 STEP wise approach to Surveillance study (STEPS). Outcome variables consisted of PATC of hypertension. Covariates were demographic (age, sex, and marital status) and living standard (area of residence, wealth status, education, and health insurance) indicators. We drew concentration curves (CC) and estimated concentration indices (C). We also conducted normalized Erreygers decomposition analysis for binary outcomes to identify covariates that explain the wealth-related inequality in the outcomes. Analysis was conducted in STATA 14.1.ResultsThe normalized concentration index of hypertension prevalence and control was -0.066 (p < .001) and 0.082 (p < .001), respectively. The C of awareness and treatment showed nonsignificant difference between the richest and poorest. Inequality in the hypertension prevalence of females was significantly higher than males (C = -0.103 vs. male C = -0.023, p < .001). Our analyses explained 33% of variation in the C of hypertension prevalence and 99.7% of variation in the C of control. Education, wealth index, and complementary insurance explained most inequality in the prevalence. Area of residence, education, wealth status, and complementary insurance had the largest contribution to C of control by 30%, 28%, 26%, and 21%, respectively.ConclusionsThis study showed a pro-rich inequality in the prevalence and control of hypertension in Iran. We call for expanding the coverage of complementary insurance to reduce inequality of hypertension prevalence and control as compared with other factors it can be manipulated in short run. We furthermore advocate for interventions to reduce the inequality of hypertension control between rural and urban areas.

Socioeconomic inequalities in utilizing facility delivery in Bangladesh: A decomposition analysis using nationwide 2017-2018 demographic and health survey data.

In many low- and middle-income countries (LMICs), including Bangladesh, socioeconomic inequalities in access to maternity care remain a substantial public health concern. Due to the paucity of research, we attempted to determine the factors affecting the facility delivery, quantify wealth-related inequality, and identify potential components that could explain the inequality. We used the latest Bangladesh Demographic and Health Survey (BDHS 2017-18) data in this study. We utilized logistic regression to investigate the associated factors of facility delivery. The concentration curves (CC), concentration index (CIX) and decomposition of CIX techniques were used to analyze the inequality in-facility delivery. Women living in the urban areas, age at first birth after (18-24 years ≥25 years), being overweight/obese, having secondary and higher-level education of the women and their husband, seeking four or more ANC, coming from more affluent households, and women with high enlightenment were significant determinants of facility delivery. The concentration curve was below the line of equality, and the relative concentration index (CIX) was 0.205 (p <0.001), indicating that women from wealthy groups were disproportionately more prevalent to facility delivery. The decomposition analysis reveals that wealth status of women (57.40%), age at first birth (10.24%), husband's education (8.96%), husband's occupation (7.35%), education of women (7.13%), women's enlightenment (6.15%), residence (8.64%) and ANC visit (6.84%) are the most major contributors to the inequalities in utilizing facility delivery. The study demonstrates a clear disparity in the use of facility delivery among Bangladeshi women; hence, immediate action is required to lower the inequalities, with a special emphasis on the contributing factors.

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.

Socioeconomic inequalities in low birth weight in South Asia: A comparative analysis using Demographic and Health Surveys

BackgroundLow Birth Weight (LBW) continues to be a prominent universal cause of various short- and long-term health hazards throughout infancy and adulthood. However, no study has revealed the socioeconomic inequalities in LBW among South Asian countries. This study assesses the socioeconomic inequalities among under-five South Asian children with LBW. MethodsSecondary data were derived from six (Afghanistan, Bangladesh, India, Maldives, Nepal, and Pakistan) nationally representative South Asian Demographic and Health Surveys conducted between 2015 and 2021, and included 170,547 under-five years of age children. The study employed the concentration curve and concentration index to assess the socioeconomic inequalities of those with LBW. Additionally, mixed-effect logistic regression was applied to determine the factors associated with LBW. ResultsA significant negative concentration index indicates the wealth-related and education-related inequalities of LBW among under-five South Asian children. LBW is highly concentrated in the socio-economically poor section of the society. Our study found statistically significant negative concentration index in all South Asian countries: Afghanistan (Education: -0.108), Bangladesh (wealth: -0.070 & education: -0.083), India (wealth: -0.059 & education: -0.052), Nepal (by wealth: -0.064 & by education: -0.080), and Pakistan (by wealth: -0.080 & by education: -0.095). Findings from the mixed-effects logistic regression model also show that children from the poorest quintiles (AOR: 1.53, 95% CI: 1.41–1.67) and illiterate mothers (AOR: 1.39, 95% CI: 1.29–1.51) had higher odds of being afflicted with LBW compared to the wealthiest quintiles and educated mothers respectively. Women's pregnancy assessments, such as antenatal care utilisation, iron supplementation intake, and normal delivery mode, are significantly correlated with decreased odds of children's LBW. ConclusionThere exists a strong association between LBW cases and socioeconomic inequalities among South-Asian children below five years of age. This indicates the urgent need for health education and prenatal care services for women from Afghanistan, Bangladesh, India, Nepal, and Pakistan, especially those with lower socioeconomic status.

Socioeconomic inequalities in the 90-90-90 target, among people living with HIV in 12 sub-Saharan African countries - Implications for achieving the 95-95-95 target - Analysis of population-based surveys.

SummaryBackgroundInequalities undermine efforts to end AIDS by 2030. We examined socioeconomic inequalities in the 90–90–90 target among people living with HIV (PLHIV) —men (MLHIV), women (WLHIV) and adolescents (ALHIV).MethodsWe analysed the available Population HIV Impact Assessment (PHIA) survey data for each of the 12 sub-Saharan African countries, collected between 2015 and 2018 to estimate the attainment of each step of the 90–90–90 target by wealth quintiles. We constructed concentration curves, computed concentration indices (CIX) —a negative (positive) CIX indicated pro-poor (pro-rich) inequalities— and identified factors associated with, and contributing to inequality.FindingsSocioeconomic inequalities in achieving the 90–90–90 target components among PLHIV were noted in 11 of the 12 countries surveyed: not in Rwanda. Awareness of HIV positive status was pro-rich in 5/12 countries (Côte d'Ivoire, Tanzania, Uganda, Malawi, and Zambia) ranging from CIX=0·085 (p< 0·05) in Tanzania for PLHIV, to CIX = 0·378 (p<0·1) in Côte d'Ivoire for ALHIV. It was pro-poor in 5/12 countries (Côte d'Ivoire, Ethiopia, Malawi, Namibia and Eswatini), ranging from CIX = -0·076 (p<0·05) for PLHIV in Eswatini, and CIX = -0·192 (p<0·05) for WLHIV in Ethiopia. Inequalities in accessing ART were pro-rich in 5/12 countries (Cameroun, Tanzania, Uganda, Malawi and Zambia) ranging from CIX=0·101 (p<0·05) among PLHIV in Zambia to CIX=0·774 (p<0·1) among ALHIV in Cameroun and pro-poor in 4/12 countries (Tanzania, Zimbabwe, Lesotho and Eswatini), ranging from CIX = -0·072 (p<0·1) among PLHIV in Zimbabwe to CIX = -0·203 (p<0·05) among WLHIV in Tanzania. Inequalities in HIV viral load suppression were pro-rich in 3/12 countries (Ethiopia, Uganda, and Lesotho), ranging from CIX = 0·089 (p< 0·1) among PLHIV in Uganda to CIX = 0·275 (p<0·01) among WLHIV in Ethiopia. Three countries (Tanzania CIX = 0·069 (p< 0·5), Uganda CIX = 0·077 (p< 0·1), and Zambia CIX = 0·116 (p< 0·1)) reported pro-rich and three countries (Côte d'Ivoire CIX = -0·125 (p< 0·1), Namibia CIX = -0·076 (p< 0·05), and Eswatini CIX = -0·050 (p< 0·05) pro-poor inequalities for the cumulative CIX for HIV viral load suppression. The decomposition analysis showed that age, rural-urban residence, education, and wealth were associated with and contributed the most to inequalities observed in achieving the 90–90–90 target.InterpretationSome PLHIV in 11 of 12 countries were not receiving life-saving HIV testing, treatment, or achieving HIV viral load suppression due to socioeconomic inequalities. Socioeconomic factors were associated with and explained the inequalities observed in the 90–90–90 target among PLHIV. Governments should scale up equitable 95–95–95 target interventions, prioritizing the reduction of age, rural-urban, education and wealth-related inequalities. Research is needed to understand interventions to reduce socioeconomic inequities in achieving the 95–95–95 target.FundingThis study was supported by the Swiss National Science Foundation (grant 202660).