Factors contributing to socio-economic inequality in utilization of caesarean section delivery among women in Indonesia: Evidence from Demographic and Health Survey.

BACKGROUND: Most of the existing literature in developing countries focused on either the rising trend of CS or its determinants. There is a paucity of population-based studies on existing socioeconomic inequalities in availing CS services by women in Indonesia. This study aimed to assess the factors associated with caesarian section (CS) delivery and explore the various factors contributing to inequalities in CS delivery rates in Indonesia. METHODS: The study utilized nationally representative cross-sectional data from the Indonesia Demographic and Health Survey (IDHS), 2017. We conducted multivariable logistic regression to find the factors associated with CS delivery. Concentration index and Wagstaff's decomposition analysis were used to examine the socioeconomic inequalities in CS delivery among women and associated factors. RESULTS: About 17% of women in Indonesia delivered babies through CS. A concentration index of 0.31 in CS delivery rate showed a higher CS delivery rate among women belonging to rich households. About 44.7% of socioeconomic status inequality in CS delivery was explained by educational status among women who went for CS delivery. Women's place of residence explained 30.1% of socioeconomic inequality, and women's age at first birth explained about 11.9% and reporting ANC visits explained 8.4% of the observed inequality. Highest socioeconomic inequality was witnessed in central Sulawesi (0.529), followed by Maluku (0.488) and West Kalimantan (0.457), whereas the lowest was recorded in Yogyakarta (0.021) followed by north Sulawesi (0.047) and east Kalimantan (0.171). Education (44.7%) followed by rural-urban place of residence (30.1%) and age of first birth (11.9%) contributed most to explain the gap in CS delivery among rich and poor women. CONCLUSION: The study highlighted the higher CS delivery rates among women from higher socioeconomic groups and thus, it is important to frame policies after identifying the population subgroups with potential underuse or overuse of CS method of delivery.

Socio-economic inequalities in non-use of modern contraceptives among young and non-young married women in India.

BACKGROUND: It is documented that married women do not utilize contraceptive methods, because of the fear of adverse effects, no or seldom sexual interaction; perception that they should not use contraception during breastfeeding, postpartum amenorrhea, or dissatisfaction with a specific method of contraception. The current study aimed to examine the socio-economic inequalities associated with the non-use of modern contraceptive methods among young (15-24 years) and non-young (25-49 years) married women and the contributing factors in those inequalities. METHODS: The present study utilized the cross-sectional data from the fourth round of the National Family Health Survey (NFHS-4) with a sample of 499,627 women who were currently married. The modern methods of family planning include sterilization, injectables, intrauterine devices (IUDs/PPIUDs), contraceptive pills, implants, the standard days method, condoms, diaphragm, foam/jelly, the lactational amenorrhea method, and emergency contraception. Multivariable logistic regression analysis was used to estimate the odds of non-use of modern contraceptive methods according to different age groups after controlling for various confounding factors. Additionally, concentration curve and Wagstaff decomposition method were used in the study. RESULTS: The prevalence of non-use of modern contraceptive use was higher among women from young category (79.0%) than non-young category (45.8%). The difference in prevalence was significant (33.2%; p < 0.001). Women from non-young age group had 39% significantly lower odds of non-use of modern contraceptive use than women from young age group (15-24 years) [AOR: 0.23; CI: 0.23, 0.23]. The value of concentration quintile was -0.022 for young and -0.058 for non-young age groups which also confirms that the non-use of modern contraceptives was more concentrated among women from poor socio-economic group and the inequality is higher among non-young women compared to young women. About 87.8 and 55.5% of the socio-economic inequality was explained by wealth quintile for modern contraceptive use in young and non-young women. A higher percent contribution of educational status (56.8%) in socio-economic inequality in non-use of modern contraceptive use was observed in non-young women compared to only -6.4% in young women. Further, the exposure to mass media was a major contributor to socio-economic inequality in young (35.8%) and non-young (43.2%) women. CONCLUSION: Adverse socioeconomic and cultural factors like low levels of education, no exposure to mass media, lack of or limited knowledge about family planning, poor household wealth status, religion, and ethnicity remain impediments to the use of modern contraceptives. Thus, the current findings provide evidence to promote and enhance the use of modern contraceptives by reducing socioeconomic inequality.

Effect of physical mobility, decision making and economic empowerment on gender-based violence among married youth in India-SAWERA project.

BACKGROUND: Preventing and responding to gender-based violence (GBV) is both a human rights imperative and a multifaceted economic issue. GBV can also act as a barrier to economic empowerment. The aim of the study was to examine the association between women's empowerment (physical mobility, decision making and economic resources) and GBV among married youth in India. METHODS: Community based cross-sectional study was conducted among married youth in the age group of 15-24 years, in two selected districts of Uttar Pradesh and Rajasthan, India. The data was collected from 578 youth. Pre-validated scales were used to assess women's empowerment indicators (physical mobility, decision making and economic resources). The outcomes assessed were scales on physical and sexual violence. Multivariate regression models examined associations between women's empowerment, spousal characteristics, socio-economic status and demographics. RESULTS: The overall results of the study found that restricted physical mobility had a negative association with sexual violence [AOR: 0.49; CI 0.26-0.92]. Women with no decision-making power had higher odds of physical violence [AOR: 2.12; CI 0.01-4.43] and sexual violence [AOR: 1.96; CI 1.02-3.77]. Having no economic resources had a negative association with sexual violence [AOR: 0.19; CI 0.09-0.39]. Women going through spousal controlling behavior had a higher likelihood of physical [AOR: 3.79; CI 1.75-8.19] and sexual violence [AOR: 4.03; CI 2.09-7.79]. It was also found that married women from rural areas and other ethnic backgrounds had higher odds of physical violence. CONCLUSION: There is a crucial need to work towards women's empowerment, with progressive gender roles such as greater decision-making, physical mobility and economic resources to reduce GBV. An established method that has worked in various contexts is adopting gender transformative approaches that involve men.

Multivariate decomposition of gender differentials in successful aging among older adults in India.

BACKGROUND: Rowe and Kahn define successful aging as a high physical, psychological, and social functioning in old age without major diseases. It is considered a viable solution to the burdens placed on healthcare systems and financial and social security in societies with aging population. The present study aimed to determine the prevalence of successful aging and explore the factors contributing to gender differentials in successful aging among older adults in India. METHODS: This study utilized data from the nationally representative Longitudinal Ageing Study in India, conducted in 2017-18. The study is based on a sample of 15,098 older men and 16,366 older women aged 60 years and above. The outcome variable was a dichotomous measure of successful aging with six components including absence of chronic diseases, free from disability, high cognitive ability, free from depressive symptoms, active social engagement in life and free from obesity. Older adults satisfying all these conditions were considered aging successfully. Descriptive and bivariate analyses were carried out. Proportion test was used to evaluate the gender differentials and reflect the statistical significance in the associated factors. Multivariate decomposition analysis was conducted to identify covariates' contribution in explaining the gender differences in successful aging. RESULTS: There was a significant gender difference in successful aging among older adults in India (Difference: 8.7%; p-value < 0.001] with 34.3% older men and 25.6% older women experiencing successful aging. A proportion of 88% of gender difference in successful aging was explained by the differences in the distribution of characteristics (Coef: 0.082; p-value < 0.05). Considerable gender gap in successful aging would be reduced if women had similar levels of work status (28% reduction) to their male counterparts. Bringing the level of frequent physical activity in women to the same levels observed in men would reduce the gender gap by 9%. CONCLUSIONS: The findings suggest that women had a lower score in successful aging, which is attributed to several socioeconomic and behavioural factors including not working status and physical inactivity. More studies must be done to explore the reasons for such differences and what particular factors in low-income countries create differences among older men and women in achieving successful aging.

Linkages of Multi-Dimensional Vulnerabilities with Infant and Child Mortality Rates in India and Its Specific Regions: Are Social Determinants of Health still Relevant?

The present study investigated linkages between multiple socio-economic vulnerabilities with infant and child mortality in India and its specific regions. Data from the National Family Health Survey (2015-16) was used for calculating the key-outcome variables, namely infant mortality and child mortality. The effective sample size for the study was 259,627. Bivariate analysis and binary logistic regression analysis were employed to examine three dimensions of vulnerabilities such as education, wealth, and caste on infant and child mortality. Children born to women with multiple-vulnerabilities were more likely to die than those born to non-vulnerable women. Women who were vulnerable in all the three-dimensions were more likely to have their children die as infants than those who were not vulnerable in any dimensions (predicted probabilities; 0.054 vs 0.026). The predicted probability for child mortality was 0.063 for women who were vulnerable and 0.028 for non-vulnerable women.

Contribution of socio-economic and demographic factors to the trend of adequate dietary diversity intake among children (6-23 months): evidence from a cross-sectional survey in India.

BACKGROUND: The present study aims to estimate the factors contributing to the change adequate diversified dietary intake (ADDI) from 2005-06 to 2015-16 among children aged 6-23 months in India. METHODS: A cross-sectional study was conducted using a large representative survey data. Data from the National Family Health Survey 2005-06 and 2015-16 was used. The effective sample size for the present study was 14,422 and 74,132 children aged 6-23 months in 2005-06 and 2015-16, respectively. The outcome variable was minimum adequate dietary diversity intake. Binary logistic regression was used to evaluate the factors associated with ADDI. Additionally, the Fairlie method of decomposition was used, which allows quantifying the total contribution of factors explaining the decadal change in the probability of ADDI among children aged 6-23 months in India. RESULTS: There was a significant increase in ADDI from 2005-06 to 2015-16 (6.2%; p < 0.001). Additionally, compared to the 2005-06 years, children were more likely to have ADDI [AOR; 1.29, CI: 1.22-1.35] in 2015-16. Mother's education explained nearly one-fourth of the ADDI change among children. Further, the regional level contribution of 62.3% showed that the gap was widening across regions between the year 2005-06 and 2015-16 in ADDI among children. The child's age explained 5.2% with a positive sign that means it widened the gaps. Whereas the household wealth quintile negatively contributed and explained by -5.2%, that means between the years the gaps has reduced in ADDI among children aged 6-23 months. CONCLUSION: Our findings indicate that increasing awareness of the use of mass media and improving the education levels of mothers would be beneficial for adequate dietary diversity intake among children aged 6-23 months. Investments should support interventions to improve overall infant and young children feeding practices in India.

Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6-23 months: a decomposition analysis.

This study aimed to measure the socio-economic inequalities in having minimum dietary diversity (MDD) among Bangladeshi children aged 6-23 months as well as to determine the factors that potentially contribute to the inequity. The Bangladesh Demographic and Health Survey (BDHS) 2017-2018 data were used in this study. A sample of 2405 (weighted) children aged 6-23 months was included. The overall weighted prevalence of MDD was 37.47%. The concentration index (CIX) value for inequalities in MDD due to wealth status was positive and the concentration curve lay below the line of equality (CIX: 0.1211, p < 0.001), where 49.47% inequality was contributed by wealth status, 25.06% contributed by the education level of mother, and 20.41% contributed by the number of ante-natal care (ANC) visits. Similarly, the CIX value due to the education level of mothers was also positive and the concentration curve lay below the line of equality (CIX: 0.1341, p < 0.001), where 52.68% inequality was contributed by the education level of mother, 18.07% contributed by wealth status, and 14.69% contributed by the number of ANC visits. MDD was higher among higher socioeconomic status (SES) groups. Appropriate intervention design should prioritize minimizing socioeconomic inequities in MDD, especially targeting the contributing factors of these inequities.

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

BACKGROUND: Due 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. METHODS: Data 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. RESULTS: The 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. CONCLUSIONS: Results 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.

Decomposition of caste differential in life satisfaction among older adults in India.

BACKGROUND: Being a multi-cultured country, India has varied social groups which largely shape the lives of individuals. Literature has shown that life satisfaction is highly associated with the social status of individuals. However, changing age dynamics (growing older) and definition of life among people presses the need to understand whether the additional years of life in older adults are manifested with the disparity in life satisfaction among the Scheduled Caste (SC)/ Scheduled Tribes (ST) and non-SC/ST social groups in recent years. The present study explored the factors contributing to such differences in life satisfaction across social groups. METHODS: This study used data from the Longitudinal Aging Study in India conducted during 2017-18. The analytical sample of the study was 30,370 older adults. Life satisfaction was the outcome variable with a score ranging from 5 to 35. Descriptive statistics and bivariate analysis were conducted. Simple linear regression analysis was used to establish the association between the outcome and explanatory variables. Further, the Blinder-Oaxaca decomposition model was used to analyse the role of explanatory factors in the caste difference in life satisfaction among older people. RESULTS: Overall, the life satisfaction score among older adults in the study was 23.9 (SD- 7.3). Older adults from non-SC/ST group had significantly higher likelihood of having life satisfaction in comparison to older adults from SC/ST group [Coef: 0.31; CI: 0.14, 0.49]. The decomposition results showed that the model explained 74.3% of the caste gap (between SC/ST and non-SC/ST) in life satisfaction among older adults in India. Subjective social status (39.0%) was widening the gap for life satisfaction among older adults from SC/ST and non-SC/ST group. Similarly, level of education (15.2%) followed by satisfaction with living arrangement (13.2%) and place of residence (5.3%) contributed for widening the gap for life satisfaction among older adults from SC/ST and non-SC/ST group. Region of country (- 11.5%) followed by self-rated health (- 3.0%) and major depression (- 2.7%) contributed for narrowing down the gap for life satisfaction among older adults from SC/ST and non-SC/ST group. CONCLUSION: Older adults belonging to non-SC/ST groups were more likely to have a higher level of life satisfaction than those from the SC/ST group. Factors like subjective social status, educational level, living arrangement satisfaction, and place of residence explained the caste differential in life satisfaction among older adults. In addition, factors such as psychological health and perceived health status should be the area of concern and special focus for policy makers and researchers in terms of reducing social inequalities in wellbeing among older population.

Socioeconomic and health-related inequalities in major depressive symptoms among older adults: a Wagstaff's decomposition analysis of data from the LASI baseline survey, 2017-2018.

OBJECTIVES: To find out the association between socioeconomic and health status and depression among older adults and explore the contributing factors in the socioeconomic and health-related inequalities in late-life depression. DESIGN: A cross-sectional study was conducted using large representative survey data. SETTING AND PARTICIPANTS: Data for this study were derived from the baseline wave of the Longitudinal Ageing Study in India conducted during 2017-2018. The effective sample size was 30 888 older adults aged 60 years and above. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome variable in this study was depression among older adults. Descriptive statistics along with bivariate analysis was conducted to report the preliminary results. Multivariable binary logistic regression analysis and Wagstaff's decomposition were used to fulfil the objectives of the study. RESULTS: There was a significant difference for the prevalence of depression (4.3%; p<0.05) among older adults from poor (11.2%) and non-poor categories (6.8%). The value of the Concentration Index was -0.179 which also confirms that the major depression was more concentrated among poor older adults. About 38.4% of the socioeconomic and health-related inequality was explained by the wealth quintile for major depression among older adults. Moreover, about 26.6% of the inequality in major depression was explained by psychological distress. Self-rated health (SRH), difficulty in activities of daily living (ADL) and instrumental ADL (IADL) contributed 8.7%, 3.3% and 4.8% to the inequality, respectively. Additionally, region explained about 23.1% of inequality followed by life satisfaction (11.2) and working status (9.8%) for major depression among older adults. CONCLUSIONS: Findings revealed large socioeconomic and health-related inequalities in depression in older adults which were especially pronounced by poor household economy, widowhood, poor SRH, ADL and IADL difficulty, and psychological distress. In designing prevention programmes, detection and management of older adults with depression should be a high priority, especially for those who are more vulnerable.

Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India.

BACKGROUND: The rapidly aging population is a major concern for countries, especially where cognitive health in older age is poor. The study examined the socioeconomic and health-related factors associated with cognitive impairment among older adults and the contribution of those factors to the concentration of low cognitive functioning among older adults from economically poor households. METHODS: Data this study were derived from the "Building Knowledge Base on Population Ageing in India" (BKPAI) survey, which was carried out in seven major states of India. The effective sample size for the analysis was 9176 older adults aged 60 years and above. Results from descriptive and bivariate analysis were reported in the initial stage. Multivariable logistic regression analysis was conducted to explore the associations. Additionally, the concentration index and concentration curve were used to measure socioeconomic inequality in cognitive impairment among older adults. Wagstaff decomposition was employed to explore the key contributors in the concentration index. RESULTS: Nearly 60% of older adults suffered from cognitive impairment in the study. The likelihood of cognitive impairment were higher among older adults with a low level of self-perceived income sufficiency [coefficient: 0.29; confidence interval (CI): 0.07- 0.52] compared to older adults with higher levels of perceived income status. Older adults with more than 10 years of schooling were less likely to be cognitively impaired [coefficient: -1.27; CI: - 1.50- -1.04] in comparison to those with no education. Cognitive impairment was concentrated among older adults from households with the lowest wealth quintile (concentration index (CCI): - 0.10: p < 0.05). Educational status explained 44.6% of socioeconomic inequality, followed by 31.8% by wealth status and 11.5% by psychological health. Apart from these factors, difficulty in instrumental activities of daily living (3.7%), caste (3.7%), and perceived income sufficiency to fulfil basic needs (3.0%) explained socioeconomic inequality in cognitive impairment among older adults. CONCLUSIONS: Findings suggest that older adults with lower perceived income, lower levels of education, poor physical and mental health, and poor physical and social resources were more likely to be cognitively impaired. Education, wealth and psychological health are major contributors in socioeconomic inequality in late-life cognitive impairment, which may be target areas in future policy formulation to reduce the inequality in cognitive impairment in older Indian adults.

Relationship between physical activity and cognitive functioning among older Indian adults.

In a culturally different and low-resource setting, where lifestyle habits, including dietary pattern and physical activities differ from those in high-income countries, the association between physical activity and cognition is expected to differ. We aimed to investigate the association between physical activity and cognitive functioning after controlling for potential confounders among older adults in India. Furthermore, gender differences in this relationship were analyzed. Using a national-level data from the Longitudinal Ageing Study in India (2017-2018), this paper employed propensity score matching (PSM) approach to examine the association between physical activities and cognitive functioning among Indian older adults. Cognitive impairment was measured through five broad domains (memory, orientation, arithmetic function, executive function, and object naming). We limit our sample to older adults aged 60 + years, and our final dataset contains 31,464 participants (men = 16,366, and women = 15,098). The results indicated that older adults who engaged in frequent physical activity have greater cognitive functioning than older adults without physical activity after adjusting for various individual, health, lifestyle, and household factors. This association holds true for both older men and older women. The results from the PSM revealed that the cognitive function score was increased by 0.98 and 1.32 points for the frequently physically active older men and women population, respectively. The results demonstrate the possible beneficial effects of frequent physical activity on cognitive functioning among older adults. Thus, regular physical activity can be considered as an effective lifestyle factor to promote healthy cognitive aging.

Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach.

BACKGROUND: Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions. METHODS: The study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran's I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA. RESULTS: Moran's I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%. CONCLUSION: The present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women's education.

Socioeconomic inequalities in non- coverage of full vaccination among children in Bangladesh: a comparative study of Demographic and Health Surveys, 2007 and 2017-18.

BACKGROUND: Vaccination is considered as a powerful and cost-effective weapon against many communicable diseases. An increase in full vaccination among the most vulnerable populations in Bangladesh was observed in the last decade. This study aimed to capture the socioeconomic inequalities in non-coverage of full vaccination among children aged 12-23 months using the nationally representative data from the Bangladesh Demographic and Health Surveys (BDHS). METHODS: Data for this study have been drawn from the 2007 and 2017-18 BDHS, which covered 10,996 and 20,127 ever-married women aged 15-49 years in 2007 and 2017-18, respectively. Binary logistic regression analysis was performed to find the factors associated with children who did not receive full vaccination. Further, the concentration index was used to observe the socioeconomic inequality for the outcome variable. RESULTS: The proportion of children who did not get fully vaccinated decreased by more than 6 points (18.2 percent to 11.8 percent) between the years 2007 and 2017-18. In 2017-18, the odds of children who were not fully vaccinated were 58 percent and 53 percent less among mothers who had primary education in 2007 [adjusted odds ratio (AOR): 0.42; confidence interval (CI): 0.24-0.73] and 2017-18 [AOR: 0.47; CI: 0.23-0.94] respectively, compared to mothers with no education. The inequality for children who were not fully vaccinated had declined between two survey periods [concentration index (CCI) value of - 0.13 in 2007 and -0.08 in 2017-18]. The concentration of inequality in children with higher parity who did not receive full vaccination had increased from 5 percent in 2007 to 16.9 percent in 2017-18. There was a drastic increase in the socioeconomic inequality contributed by place of delivery from 2.9 percent (2007) to 60.5 percent (2017-18) among children who did not receive full vaccination. CONCLUSIONS: The present study provide eminent evidence that non-coverage of full vaccination is more prevalent among children from poor households in Bangladesh, which is mainly associated with factors like mother's education, father's education and working status and household wealth index across the two rounds. These factors suggest multifaceted pro-poor interventions that will protect them from hardship and reduce their socioeconomic inequalities in coverage of full vaccination.

Types of household headship and associated life satisfaction among older adults in India: findings from LASI survey, 2017-18.

BACKGROUND: Household headship with decision-making power may have a positive influence on life satisfaction in older adults. This study examines the associations of several types of household headship with life satisfaction among older adults in India. METHOD: The study utilized the data from the Longitudinal Ageing Study in India (2017-18). The effective sample size for the study was 31,464 adults aged 60 years or older. Ordered logistic regression model was employed to find the association of life satisfaction with household headship status after adjusting for selected socioeconomic and demographic factors. RESULTS: It was found that about 1.3% of older male and 1.5% of older females had nominal headship status in their household. Higher percentage of older males (42%) and females (48.3%) who had nominal headship status had low life satisfaction. In multivariable analysis, older adults who practiced nominal headship had significantly higher odds of low life satisfaction in reference to older adults who practiced functional headship [Adjusted odds ratio (AOR): 1.87; confidence interval (CI): 1.45,2.42]. Interaction model reveals that older men who practised nominal headship had significantly higher odds of low life satisfaction in reference to older men who practised functional headship [AOR: 2.34; CI: 1.59,3.45]. Similarly, older women who practised nominal headship had 55% significantly higher likelihood to have low life satisfaction in reference to older men who practised functional headship [AOR: 1.55; CI: 1.09, 2.18]. CONCLUSION: The recognition of older individuals as active agents of the households they belong to, and giving them the value they deserve may help boosting their mental well-being. As a direct driver of subjective well-being, headship status and decision making power deserve a more prominent role and future studies are required on the mechanisms of functional and nominal headship statuses that have impact on successful aging.

Newborn low birth weight: do socio-economic inequality still persist in India?

BACKGROUND: The incidence of preterm birth and subsequent low birth weight (LBW) are vital global public health issues. It contributes to high infant and child mortality in the early stages of life and later on in adult life; it increases the risk for non-communicable diseases. The study aims to understand the socio-economic status-related inequality for LBW among children in India. It hypothesises that there is no association between the socio-economic status of the household and the newborn's LBW in India. METHODS: The study utilised data from the fourth round of the National Family Health Survey, a national representative cross-sectional survey conducted in 2015-16 (N = 127,141). The concentration index (CCI) and the concentration curve (CC) measured socio-economic inequality in low birth status among newborns. Wagstaff decomposition further analysed key contributors in CCI by segregating significant covariates. RESULTS: About 18.2% of children had low birth weight status. The value of concentration was - 0.05 representing that low birth weight status is concentrated among children from lower socio-economic status. Further, the wealth quintile explained 76.6% of the SES related inequality followed by regions of India (- 44%) and the educational status of mothers (43.4%) for LBW among children in India. Additionally, the body mass index of the women (28.4%), ante-natal care (20.8%) and residential status (- 15.7%) explained SES related inequality for LBW among children in India. CONCLUSION: Adequate attention should be given to the mother's nutritional status. Awareness of education and usage of health services during pregnancy should be promoted. Further, there is a need to improve the coverage and awareness of the ante-natal care (ANC) program. In such cases, the role of the health workers is of utmost importance. Programs on maternal health services can be merged with maternal nutrition to bring about an overall decline in the LBW of children in India.

Understanding socio-economic inequalities in the prevalence of asthma in India: an evidence from national sample survey 2017-18.

BACKGROUND: Today, over 300 million people reside with asthma worldwide and India alone is home for 6% of children and 2% of adults suffering from this chronic disease. A common notion of disparity persists in terms of health outcomes across the poor and better-off section of the society. Thus, there is a need to explore socio-economic inequality in the contribution of various factors associated with asthma prevalence in India. METHODS: Data for the study were carved out from the 75th round of National Sample Survey (NSS), collected by the National Sample Survey Organization (NSSO) during 2017-18. The sample size for this study was 555,289 individuals, for which data was used for the analysis. Descriptive statistics were used to show the distribution of the study population. Further, bivariate and multivariate analysis was performed to identify the factors associated with Asthma prevalence. The concentration index was used to measure the inequality. Further, we used decomposition analysis to find the contribution of factors responsible for socio-economic status-related inequality in asthma prevalence. RESULTS: The prevalence of asthma was 2 per 1000 in the whole population; however, the prevalence differs by age groups in a significant manner. Age, sex, educational status, place of residence, cooking fuel, source of drinking water, household size and garbage disposal facility were significantly associated with asthma prevalence in India. It was found that asthma was more concentrated among individuals from higher socioeconomic status (concentration index: 0.15; p < 0.05). While exploring socio-economic inequality for asthma, richest wealth status (53.9%) was the most significant contributor in explaining the majority of the inequality followed by the urban place of residence (37.9%) and individual from age group 45-65 years (33.3%). Additionally, individual aged 65 years and above (27.9%) and household size less than four members (14.7%) contributed in explaining socio-economic inequality for asthma. CONCLUSION: Due to the heterogeneous nature of asthma, associations between different socio-economic indicators and asthma can be complex and may point in different directions. Hence, considering the concentration of asthma prevalence in vulnerable populations and its long-term effect on general health, a comprehensive programme to tackle chronic respiratory diseases and asthma, in particular, is urgently needed.

The association of widowhood and living alone with depression among older adults in India.

Widowhood is a catastrophic event at any stage of life for the surviving partner particularly in old age, with serious repercussions on their physical, economic, and emotional well-being. This study investigates the association of marital status and living arrangement with depression among older adults. Additionally, the study aims to evaluate the effects of factors such as socio-economic conditions and other health problems contributing to the risk of depression among older adults in India. This study utilizes data from the nationally representative Longitudinal Ageing Study in India (LASI-2017-18). The effective sample size was 30,639 older adults aged 60 years and above. Descriptive statistics and bivariate analysis have been performed to determine the prevalence of depression. Further, binary logistic regression analysis was conducted to study the association between marital status and living arrangement on depression among older adults in India. Overall, around nine percent of the older adults suffered from depression. 10.3% of the widowed (currently married: 7.8%) and 13.6% of the older adults who were living alone suffered from depression. Further, 8.4% of the respondents who were co-residing with someone were suffering from depression. Widowed older adults were 34% more likely to be depressed than currently married counterparts [AOR: 1.34, CI 1.2-1.49]. Similarly, respondents who lived alone were 16% more likely to be depressed compared to their counterparts [AOR: 1.16; CI 1.02, 1.40]. Older adults who were widowed and living alone were 56% more likely to suffer from depression [AOR: 1.56; CI 1.28, 1.91] in reference to older adults who were currently married and co-residing. The study shows vulnerability of widowed older adults who are living alone and among those who had lack of socio-economic resources and face poor health status. The study can be used to target outreach programs and service delivery for the older adults who are living alone or widowed and suffering from depression.

Why women choose to deliver at home in India: a study of prevalence, factors, and socio-economic inequality.

BACKGROUND: To promote institutional delivery, the Government of India, through the Janani Suraksha Yojana (JSY) program, gives monetary reward to all pregnant women who give birth at the government or private health center. Despite providing cash assistance, a higher number of women are still preferring delivering at home. Therefore, this study sought to determine the prevalence of home births and identifying the factors influencing women's choice of home deliveries. METHODS: Data from the National Family Health Survey (NFHS) conducted during 2005-06 and 2015-16 were used in the study. The respondents were women 15-49 years; a sample of 36,850 and 190,898 women in 2005-06 and 2015-16 respectively were included in the study. Multivariate logistic regression was used to determine the factors influencing home delivery. Income-related inequality in home delivery was quantified by the concentration index (CI) and the concentration curve (CC), and decomposition analysis was used to examine the inequality in the prevalence of home deliveries. RESULTS: The prevalence of home deliveries has reduced from 58.5% in 2005-06 to 18.9% in 2015-16. The odds of delivering babies at home were lower among women who had full ANC in 2005-06 [AOR: 0.34; CI: 0.28-0.41] and in 2015-16 [AOR: 0.41; CI: 0.38-0.45] and were higher among women with four or higher parity in 2005-06 [AOR: 1.70; CI: 1.49-1.92] and in 2015-19 [AOR: 2.16; CI: 2.03-2.30]. Furthermore, the odds of delivering babies at home were higher among rural women and were lower among women with higher education. It was found that the value of CI increased from - 0.25 to - 0.39 from 2005-06 to 2015-16; this depicts that women delivering babies at home got more concentrated among women from lower socio-economic status. CONCLUSION: There is a need to promote institutional deliveries, particular focus to be given to poor women, women with higher parity, uneducated women, and rural women. ANC is the most concurring contact point for mothers to get relevant information about the risks and complications they may encounter during delivery. Therefore, effort should be directed to provide full ANC. Targeted interventions are called for to bring improvements in rural areas.

Banned by the law, practiced by the society: The study of factors associated with dowry payments among adolescent girls in Uttar Pradesh and Bihar, India.

BACKGROUND: Despite the prohibition by the law in 1961, dowry is widely prevalent in India. Dowry stems from the early concept of 'Stridhana,' in which gifts were given to the bride by her family to secure some personal wealth for her when she married. However, with the transition of time, the practice of dowry is becoming more common, and the demand for a higher dowry becomes a burden to the bride's family. Therefore, this study aimed to determine the factors associated with the practice of dowry in Bihar and Uttar Pradesh. METHODS: We utilized information from 5206 married adolescent girls from the Understanding the lives of adolescents and young adults (UDAYA) project survey conducted in two Indian states, namely, Uttar Pradesh and Bihar. Dowry was the outcome variable of this study. Univariate, bivariate, and multivariate logistic regression analyses were performed to explore the factors associated with dowry payment during the marriage. RESULTS: The study reveals that dowry is still prevalent in the state of Uttar Pradesh and Bihar. Also, the proportion of dowry varies by adolescent's age at marriage, spousal education, and household socioeconomic status. The likelihood of paid dowry was 48 percent significantly less likely (OR: 0.52; CI: 0.44-0.61) among adolescents who knew their husbands before marriage compared to those who do not know their husbands before marriage. Adolescents with age at marriage more than equal to legal age had higher odds to pay dowry (OR: 1.60; CI: 1.14-2.14) than their counterparts. Adolescents with mother's who had ten and above years of education, the likelihood of dowry was 33 percent less likely (OR: 0.67; CI: 0.45-0.98) than their counterparts. Adolescents belonging to the richest households (OR: 1.48; CI: 1.13-1.93) were more likely to make dowry payments than adolescents belonging to poor households. CONCLUSION: Limitation of the dowry prohibition act is one of the causes of continued practices of dowry, but major causes are deeply rooted in the social and cultural customs, which cannot be changed only using laws. Our study suggests that only the socio-economic development of women will not protect her from the dowry system, however higher dowry payment is more likely among women from better socio-economic class.