Does socio-economic inequality in infant mortality still exists in India? An analysis based on National Family Health Survey 2005–06 and 2015–16

Maternal age and adverse pregnancy outcomes among Meitei women of Manipur, Northeast India: A cross-sectional study

OBJECTIVE

The study examines the outcomes of pregnancies conceived at advanced maternal age (AMA) and maternal complications after childbirth among Meitei women of Northeast India.

METHOD

A total of 760 women participants were included in this study and compared among women aged ≥35 years, with a reference group of women aged 20-34 years. Data on obstetric characteristics were collected after obtaining consent. The data were compared using chi-square analysis, and the results were adjusted using a logistic regression model. Decision trees were developed to predict the potential variables associated with preterm delivery and postpartum complication.

RESULTS

In the study, 18.95% of AMA women experienced one or more adverse pregnancy outcomes (APOs). Women with AMA are at significantly increased risk of placenta previa (adjusted odds ratio [AOR] = 4.89, 95% confidence interval [CI]: 2.78-8.57), induction of labor (AOR = 3.69, 95%CI: 2.48-5.50), and caesarean section (AOR = 3.42, 95%CI: 2.28-5.12). Moreover, AMA women have a 1.86-2.76 AOR for developing gestational diabetes, pregnancy-induced hypertension, urinary tract infections, preterm delivery, and postpartum complications. Decision tree analysis revealed that AMA and urban residence independently predict preterm delivery and postpartum complications.

CONCLUSION

The study's findings confirm the adverse impact of AMA on pregnancy outcomes and postpartum complications. Such issues should be addressed, and counseling on the risk of AMA should be provided, particularly for those in the high-risk group. Further prospective studies are needed to understand other potential risk factors of APOs and the impact of AMA complications to prevent the associated burden.

Socio-economic inequalities in burden of communicable and non-communicable diseases among older adults in India: Evidence from Longitudinal Ageing Study in India, 2017-18

Developing countries like India grapple with significant challenges due to the double burden of communicable and non-communicable disease in older adults. Examining the distribution of the burden of different communicable and non-communicable diseases among older adults can present proper evidence to policymakers to deal with health inequality. The present study aimed to determine socioeconomic inequality in the burden of communicable and noncommunicable diseases among older adults in India. This study used Longitudinal Ageing study in India (LASI), Wave 1, conducted during 2017-2018. Descriptive statistics along with bivariate analysis was used in the present study to reveal the initial results. Binary logistic regression analysis was used to estimate the association between the outcome variables (communicable and non-communicable disease) and the chosen set of separate explanatory variables. For measurement of socioeconomic inequality, concentration curve and concentration index along with state wise poor-rich ratio was calculated. Additionally, Wagstaff's decomposition of the concentration index approach was used to reveal the contribution of each explanatory variable to the measured health inequality (Communicable and non- communicable disease). The study finds the prevalence of communicable and non-communicable disease among older adults were 24.9% and 45.5% respectively. The prevalence of communicable disease was concentrated among the poor whereas the prevalence of NCDs was concentrated among the rich older adults, but the degree of inequality is greater in case of NCD. The CI for NCD is 0.094 whereas the CI for communicable disease is -0.043. Economic status, rural residence are common factors contributing inequality in both diseases; whereas BMI and living environment (house type, drinking water source and toilet facilities) have unique contribution in explaining inequality in NCD and communicable diseases respectively. This study significantly contributes in identifying the dichotomous concentration of disease prevalence and contributing socio- economic factors in the inequalities.

Differential impact of maternal education on under-five mortality in rural and urban India

Under-five mortality rate (U5MR) differs by rural-urban place of residence and mother's education; however, the rural-urban gap in U5MR by mother's educational attainment is unclear in the existing literature. Using five rounds of the national family health surveys (NFHS I-V) conducted between 1992-93 and 2019-21 in India, this study estimated the main and interaction effects of rural-urban and maternal education on U5MR. The mixed effect Cox proportional hazard (MECPH) model was used to predict the risk of under-five mortality (U5M). The finding shows that unadjusted U5MR remained 50 per cent higher in rural areas than in urban areas across the surveys. Whereas, after controlling for demographic, socioeconomic, and maternal health care predictors of U5M, the MECPH regression results indicated that urban children had a higher risk of death than their rural counterparts in NFHS I-III. However, there are no significant rural-urban differences in the last two surveys (NFHS IV -V). In addition, increasing maternal education levels were associated with lower U5M in all surveys. Though, in recent years, primary education has had no significant effect. The U5M risk was additionally lower for urban children than rural children whose mothers had secondary and higher education by NFHS-III; however, this additional urban advantage was no longer significant in recent surveys. The higher impact of secondary education on U5MR in urban areas in the past may be attributed to poor socio-economic, healthcare conditions in rural areas. Overall, maternal education, particularly secondary education, remained a protective factor for U5M in both rural and urban areas, even after controlling for predictors. Therefore, there is a need to increase the focus on secondary education for girls for a further decline in U5M.

Effect of change in individual and household level characteristics on anemia prevalence among adolescent boys and girls in India

Background

Anemia is a significant public health challenge that affects the population of all nations. Anemia among adolescents emerged as an alarming public health issue as it harms an individual’s physical capacity and cognitive and work performance. The study aims to determine the effect of changes in individual and household level factors on the prevalence of anemia among adolescent boys and girls.

Method

The study utilized data from two waves of the “Understanding the lives of adolescent and young adults” (UDAYA) survey, conducted in Bihar and Uttar Pradesh during 2015–16 (wave-1) and 2018–19 (wave-2). The sample size for the present study was 4216 and 5974 unmarried adolescent boys and girls aged 10–19 years in both waves. We performed descriptive analysis to observe the characteristics of adolescents during 2015–16. Further, changes in selected independent variables from wave-1 to wave-2 were examined using the proportion test. Moreover, random-effect regression models were employed to examine the association of changes in individual and household level factors with anemia prevalence among adolescents.

Results

The prevalence of anemia decreased over time among adolescent boys (33 to 30%), whereas it increased among adolescent girls (59 to 63%). The results from the random-effect model show that adolescent boys who used shared toilets were more anemic than those who used a private restroom [β:0.05, 95% CI:(0.01, 0.08)]. Moreover, underweight [β:0.05, CI:(0.01, 0.09)] and thin [β:0.04, CI:(0.00, 0.07)] adolescent boys were more likely to be anemic compared to their normal counterparts. Additionally, boys who belonged to the poorest [β:0.08, CI:(0.02, 0.14)] households had a higher risk of anemia than the richest household.

Conclusion

The anemia prevalence was higher among adolescents aged 10–19 years in Uttar Pradesh and Bihar. This study has filled an information gap by providing state-level representative estimates indicating underweight status and thinness as the common factors behind the anemia prevalence among adolescent boys than in girls. Iron deficiency anemia is the most prevalent in certain age groups in India. Hence, Anemia prevention efforts and iron-folic acid (IFA) supplementation programs are currently being strengthened in India, targeting the high-risk population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13863-w.

Prevalence and predictors of water-borne diseases among elderly people in India: evidence from Longitudinal Ageing Study in India, 2017-18

BACKGROUND

India suffers from a high burden of diarrhoea and other water-borne diseases due to unsafe water, inadequate sanitation and poor hygiene practices among human population. With age the immune system becomes complex and antibody alone does not determine susceptibility to diseases which increases the chances of waterborne disease among elderly population. Therefore the study examines the prevalence and predictors of water-borne diseases among elderly in India.

METHOD

Data for this study was collected from the Longitudinal Ageing Study in India (LASI), 2017-18. Descriptive statistics along with bivariate analysis was used in the present study to reveal the initial results. Proportion test was applied to check the significance level of prevalence of water borne diseases between urban and rural place of residence. Additionally, binary logistic regression analysis was used to estimate the association between the outcome variable (water borne diseases) and the explanatory variables.

RESULTS

The study finds the prevalence of water borne disease among the elderly is more in the rural (22.5%) areas compared to the urban counterparts (12.2%) due to the use of unimproved water sources. The percentage of population aged 60 years and above with waterborne disease is more in the central Indian states like Chhattisgarh and Madhya Pradesh followed by the North Indian states. Sex of the participate, educational status, work status, BMI, place of residence, type of toilet facility and water source are important determinants of water borne disease among elderly in India.

CONCLUSION

Elderly people living in the rural areas are more prone to waterborne diseases. The study also finds state wise variation in prevalence of waterborne diseases. The elderly people might not be aware of the hygiene practices which further adhere to the disease risk. Therefore, there is a need to create awareness on basic hygiene among this population for preventing such bacterial diseases.

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.

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.

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.

Preceding child survival status and its effect on infant and child mortality in India: An evidence from National Family Health Survey 2015-16

Background

India has achieved impressive gains in child survival over the last two decades; however, it was not successful in attaining MDG 2015 goals. The study’s objective is to inquire how the survival status of the preceding child affects the survival of the next born child.

Methods

This is a retrospective analysis of data from the National Family Health Survey, 2015–16. Analysis was restricted to women with second or higher-order births because women with first-order births do not have a preceding child. Proportional hazards regression, also called the Cox regression model, has been used to carry out the analysis. Kaplan–Meier (K–M) survival curves were also generated, with a focus on preceding birth intervals.

Results

Results found that female children were more likely to experience infant mortality than their male counterparts. Children born after birth intervals of 36+ months were least likely to experience infant mortality. Mother’s education and household wealth are two strong predictors of child survival, while the place of residence and caste did not show any effect in the Cox proportional model. Infant and child deaths are highly clustered among those mothers whose earlier child is dead.

Conclusion

Maternal childbearing age is still low in India, and it poses a high risk of infant and child death. Education is a way out, and there is a need to focus on girl’s education. The government shall also focus on raising awareness of the importance of spacing between two successive births. There is also a need to create a better health infrastructure catering to the needs of rich and poor people alike.

Anaemia among mother-father-child pairs in India: examining co-existence of triple burden of anaemia in a family

BACKGROUND

Anaemia is a global health concern and is also a common comorbidity in multiple medical conditions. Very limited research is available examining anaemia among family members in India and across various countries. The present study aimed to examine the co-existence of the triple burden of anaemia among mother-father-child pairs in a family.

METHODS

The data utilized was from the National Family Health Survey conducted in 2015-16. The effective sample size for the study was 26,910 couples, along with children aged 6-59 months. The bivariate and binary logistic regression analysis were applied to assess the factors associated with family-level anaemia. In bivariate analysis, a chi-square test was performed to determine the association of socio-demographic factors with anaemic family.

RESULTS

More than half of the mothers (57.5%) and their children (58%), along with 10% of fathers, were found to be anaemic; however, the co-existence of triple burden of anaemia among mother-father-child pairs was 4.7% in the study. The likelihood of family-level anaemia was low when both the parents were educated [OR: 0.69, CI: 0.58-0.81], and it was high when both the parents were employed [OR: 1.40 CI: 1.10-1.80]. Families from the Scheduled Tribe had a 62% higher likelihood to suffer from anaemia [OR: 1.62, CI: 1.33-1.97].

CONCLUSIONS

The suggested interventions include early diagnosis, effective management, and treatment of anaemia. Moreover, adequate complementary feeding practices for children shall also be promoted. Parental education on nutrition is also required, and community interventions are needed to improve parental education on nutrition. At last, there is a need for greater policy and program attention to improving nutritional knowledge among mothers so as to tackle the triple burden of anaemia among mother-father-child pairs.

Socio-economic inequality in the prevalence of violence against older adults - findings from India

BACKGROUND

Violence against older adults is a well-recognised socio-psychological and public health problem. It is uncared-for, undiagnosed, and an untreated problem that is widespread across both developed and developing countries. The present paper aims to understand the extent of the socio-economic status related inequality in violence against older adults in India.

METHODS

The study uses data from Building a Knowledge Base on Population Aging in India (BKPAI). Violence against older adults is the outcome variable for the study and is defined as older adults who faced any abuse or violence or neglect or disrespect by any person. Bivariate analysis and regression-based decomposition technique is used to understand the relative contribution of various socio-economic factors to violence against older adults (N = 9541).

RESULTS

The prevalence of violence faced by older adults was 11.2%. Older adults aged 80+ years [OR: 1.49; CI: 1.14-1.93] and working [OR: 1.26; CI: 1.02-1.56] had higher likelihood to face violence than their counterparts. On the other hand, older adults who were currently in union [OR: 0.79; CI: 0.65-0.95], lived with children [OR: 0.53; CI: 0.40-0.72] and who belonged to richer wealth quintile [OR: 0.35; CI:0.24-0.51] had lower likelihood to suffer from violence than their counterparts. The decomposition results revealed that poor older adults were more prone to violence (Concentration index: - 0.20). Household's wealth status was responsible for explaining 93.7% of the socio-economic status related inequality whereas living arrangement of older adults explained 13.7% of the socio-economic related inequality. Education and working status of older adults made a substantial contribution to the inequalities in reported violence, explaining 3.7% and 3.3% of the total inequality, respectively.

CONCLUSION

Though interpretation of the results requires a cautious understanding of the data used, the present study highlights some of the relevant issues faced by the country's older adults. With no or meagre income of their own, older adults belonging to the poorest wealth quintile have little or no bargaining power to secure a violent free environment for themselves. Therefore, special attention in terms of social and economic support should be given to the economically vulnerable older population.

Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis

BACKGROUND

Older people coming from a lower wealth gradient are more vulnerable to have stressful life events further adding more risk for common mental health disorders and psychological distress situations. The present study explores the associations between socioeconomic and health-related variables and psychological distress among older adults in India and the contribution of such factors to the inequalities in psychological distress.

METHODS

A cross-sectional survey of 9181 older adults conducted as 'Building a Knowledge Base on Population Ageing in India' was assessed. Logistic regression and decomposition models were used to analyze the data. Psychological distress was measured from General Health Questionnaire (GHQ-12). The value of Cronbach's alpha was 0.90. It was having a scale of 0 to 12 on the basis of experiencing stressful symptoms and was re-coded as 0 (representing 6+ stressful symptoms) and 1 (representing 5 and fewer symptoms).

RESULTS

Older adults from the poored, suffering from multi-morbidity, disabled, with low activities of daily living and low instrumental activities of daily living and poor cognitive ability were suffering from high psychological distress in India. Further, factors such as religion, caste, education, living arrangements, and self-worth in the family were major contributors to the concentration of psychological distress in older adults from poor households (concentration index: - 0.23).

CONCLUSION

The study suggests that among older people, there is a wide disparity of experiencing psychological distress across different socio-economic groups with significant factors being responsible for inequality in psychological distress. There is a need to build a "win-win" circumstance across sectors, including a broad spectrum of health, social and economic benefits to the vulnerable older population.