The key recommendation of the Child Survival and Safe Motherhood programme was the provision of Emergency Obstetric Care (EmOC) for the prevention of maternal mortality, especially in developing countries like India. The objectives of this paper were three-fold: to examine the socioeconomic differentials in mean out-of-pocket expenditure on EmOC in public and private health care facilities in India; to evaluate the catastrophic health expenditure of households at the threshold levels of 5% and 10%; and finally, to assess the effects of various socioeconomic and demographic covariates on the levels of catastrophic health expenditure on EmOC. Data were extracted from the 71st round of the National Sample Survey Office (NSSO) survey conducted in India between January and June 2014. A stratified multi-stage sampling design was followed to conduct the survey. The information was collected from 65,932 households (rural: 36,480; urban: 29,452) and 33,104 individuals across various states and union territories in India. However, the present study had taken only 1653 sample women who availed EmOC care during the last one year preceding the survey date. Binary logistic regression was applied. Large differences in out-of-pocket expenditure on EmOC were found between private and public health care facilities. Mean annual out-of-pocket expenditure by women in private hospitals was INR 23,309 (US$367), which was about 6 times higher than in public hospitals, where mean spending was INR 3651 (US$58). Furthermore, logistic regression analysis showed a significant association between household socioeconomic status and level of catastrophic health expenditure on EmOC. The odds of catastrophic health expenditure in public health facilities among women from the North region were higher than among those from the Central, South and West regions. Age and level of education significantly influenced the mean level of catastrophic health expenditure. Access to good-quality obstetric care is key to reducing the maternal mortality rate and child deaths, and thus achieving Sustainable Development Goal 3. There is an urgent need for policy interventions to reduce the financial burden of households in accessing obstetric care in India.

While overall neonatal mortality rates are improving in Ghana, the Ashanti Region has the highest mortality rate in the country. The clinical causes of newborn deaths are well known, yet local beliefs about illness aetiology, cause of death and care-seeking are less well understood. This exploratory qualitative study sought to understand how community members perceive and respond to neonatal illness. Researchers worked with public health nurses, community health nurses and opinion leaders in the Ashanti Region of Ghana to identify women who had lost a baby, either during pregnancy or after delivery. In-depth interviews and focus group discussions were conducted about knowledge, attitudes and beliefs regarding neonatal mortality. The transcripts were coded and analysed using NVivo 10.0. A total of 100 participants were interviewed: 24% reported a previous stillbirth; 37% reported a previous miscarriage; and 45% reported losing a baby who was born alive. Nine per cent experienced more than one type of loss. The local illness of asram – an illness with supernatural causes – was cited as a leading cause of death of newborns. Every participant reported hearing of, knowing someone, or having a child who had become ill with asram. While women gave varying information on symptoms, method of contraction and treatment, all participants agreed that asram was common and often fatal. Four overarching themes emerged: 1) asram is not a hospital sickness; 2) there is both a fear of traditional healers as a source of asram, as well as a reliance upon them to cure asram; 3) there are rural/urban differences in perceptions of asram; and 4) asram may serve as a mechanism of social control for pregnant women and new mothers. Local beliefs and practices must be better understood and incorporated into health education campaigns if neonatal mortality is to be reduced in Ghana.

Gender-biased contexts may impact women’s lives across a variety of domains. This study examined whether changes in district prevalence of a salient gendered practice – dowry – are associated with changes in poor health for women in India. Two waves of national multilevel panel data were used to assess the relationship between changes in district-level dowry prevalence and changes in self-rated health for 23,785 ever-married women aged 15–50 years. Increased dowry prevalence was found to be associated with increased poor self-rated health for women. This relationship remained when controlling for potentially confounding factors including household socioeconomic status, caste, infrastructure, mobility and state fixed-effects.

This cross-sectional study investigated the factors associated with hypertension among Nepalese adults aged 18 years or above using data from the Nepal Demographic and Health Survey 2016. Prevalence ratios (PRs) and odds ratios (ORs) were obtained using log-binomial regression and logistic regression, respectively. Initially, unadjusted PRs and ORs were obtained. The variables that yielded a significance level below 0.2 in unadjusted analyses were included in the multivariable analysis. The overall prevalence of hypertension among the 13,393 participants (58% male and 61.2% urban) was 21.1% (n = 2827). In the adjusted analysis, those aged 30–49 years (adjusted PR [APR]: 3.1, 95% Confidence Interval (CI): 2.6, 3.7; adjusted OR [AOR]: 3.6, 95% CI: 2.9, 4.5), 50–69 years (APR: 5.3, 95% CI: 4.4, 6.6; AOR: 8.2, 95% CI: 6.4, 10.4) and ≥70 years (APR: 7.3, 95% CI: 5.8, 9.2; AOR: 13.6, 95% CI: 10.1, 18.3) were more likely to be hypertensive than younger participants aged 18–29 years. Males (APR: 1.3, 95% CI: 1.2, 1.4; AOR: 1.5, 95% CI: 1.3, 1.7), overweight/obese participants (APR: 1.8, 95% CI: 1.7, 2.0; AOR: 2.4, 95% CI: 2.2, 2.8) and those in the richest wealth quintile (APR: 1.3, 95% CI: 1.1, 1.5; AOR: 1.5, 95% CI: 1.1, 1.9) had higher prevalences and odds of hypertension than their female, normal weight/underweight and poorest wealth quintile counterparts, respectively. Those residing in Province 4 (APR: 1.2, 95% CI: 1.0, 1.5; AOR: 1.4, 95% CI: 1.1, 1.8) and Province 5 (APR: 1.2, 95% CI: 1.0, 1.4; AOR: 1.3, 95% CI: 1.1, 1.7) were more likely to be hypertensive than those residing in Province 1. The point estimate was inflated more in magnitude by ORs than by PRs, but the direction of association remained the same. Public health programmes in Nepal aimed at preventing hypertension should raise awareness among the elderly, males, individuals in the richest wealth quintile and the residents of Provinces 4 and 5.

Despite the increasing interest in the determinants of adolescent undernutrition in low- and middle-income countries, a comprehensive multi-level overview at the country level is missing. Using the nationally representative 2014 Nepal Adolescent Nutrition Survey, this study aimed to provide a comprehensive overview of the sociocultural and economic determinants of stunting and thinness of adolescent boys and girls in Nepal. Multivariate logistic regression models were used to estimate the associations between multiple individual, household and community determinants and stunting and thinness among 3773 adolescents aged 10–19 years (1888 boys and 1885 girls). The prevalence rates of stunting and thinness indicated suboptimal nutritional status and an inadequate growth environment in Nepali adolescents. The results highlighted an association of paternal occupation and education, household income, number of earning household members, geographical place of residence, caste/ethnicity and nutritional knowledge with stunting, with higher odds for males and older adolescents. Paternal occupation, education, household income, geographical region, caste/ethnicity and nutrition knowledge were associated with thinness, with higher odds for males and younger adolescents. The findings underscore the importance of involving adolescents, their parents and their communities in interventions. Such interventions should not only be aimed at improving adolescent nutrition but also at optimizing adolescents’ growth environment for better health and development. Future research should focus on context-specific causal pathways and mechanisms through which sociocultural and economic determinants influence nutritional outcomes within broader societal, cultural and political settings. A longitudinal approach, including a range of dietary and nutrition indicators would allow understanding how and when the relative importance of these factors change during adolescence.

An awareness of fertility and the factors affecting it is crucial to dealing with infertility, though little research has been conducted in the context of rural India. This study assessed Indian women’s perceived causes of, and strategies for coping with, infertility and the associations with levels of reproductive health knowledge in rural areas. Primary data were collected through mapping and listing in high infertility prevalence districts of West Bengal in 2014–15. A total of 159 women aged 20–49 years who had ever experienced infertility were interviewed. A Reproductive Health Knowledge Index (RHKI) was computed to indicate respondent’s level of reproductive health knowledge, and to show its association with perceived causes of infertility and coping with infertility. The highest mean RHKI score was observed among women in the lowest age group (RHKI=5.75, p<0.001), those with a higher level of education (RHKI=9.39, p<0.001) and those who had exposure to any media (RHKI=5.88, p<0.001). Women with a poor wealth index (RHKI=2.11, p<0.01) and those from Scheduled Caste, Scheduled Tribe and Other Backward Class communities (RHKI=4.20, p<0.05) had lower RHKI scores than richer women and those from General Caste communities. Women with a higher RHKI score were more likely to give biology (98.0%, p<0.001), old age (94.1%, p<0.01) and repeated abortions/accident/injury (92.2%, p<0.001) as reasons for infertility, whereas women with a low RHKI were more likely to give religious (73.2%, p<0.001) and old-age-related causes (75.0%, p<0.01) of infertility. Women with a high RHKI score were more likely to opt for modern allopathic treatments (RHKI=7.04, p<0.001), whereas those with a low RHKI score were more likely to seek treatment from religious and superstitious practitioners, use home remedies or receive no treatment at all (RHKI=1.66, p<0.001). Appropriate reproductive health knowledge is crucial if rural Indian women are to correctly assess their infertility problems and choose effective coping strategies.

The aim of the present study was to estimate the prevalence and examine the determinants of consanguineous marriage types in India. Data for 456,646 ever-married women aged 15–49 years were analysed from the National Family Health Survey (NFHS)-4 conducted in 2015–16. The overall prevalence of consanguineous marriage was 9.9%; the South region (23%) and North-East region (3.1%) showed the highest and lowest prevalences, respectively. Muslims had a higher prevalence (15%) than Hindus (9%). The prevalence of first cousin marriage (8.7%) was more than that of second cousin (0.7%) and of uncle–niece marriages (0.6%). Women living in urban areas and in nuclear families, having a higher level of education and belonging to affluent families were less likely to marry their cousins (p < 0.01). Women living in the South region of the country were more likely to marry their cousins, as well as uncles (p < 0.001). Close scrutiny of the trends in the results (odds ratios) revealed no clear relationship between socioeconomic condition and consanguineous marriage. The study results suggest that religion and north–south regional dichotomy in culture largely determine consanguineous marriage rather than socioeconomic condition in India.

Tuberculosis (TB) is a globally widespread disease, with approximately a quarter of the world’s population currently infected (WHO, 2018). Some risk factors, such as HIV status, nutrition and body mass index, have already been thoroughly investigated. However, little attention has been given to behavioural and/or psychological risk factors such as stress and education level. This study investigated the risk factors for TB diagnosis by statistical analyses of publicly available data from the most recent wave of the Indonesian Family Life survey (IFLS-5) conducted in 2015. Out of 34,249 respondents there were 328 who reported having TB. For comparison and completeness, variables were divided into levels: individual-, household- and community-level variables. The most prominent and interesting variables found to influence TB diagnosis status (on each level) were investigated, and a logistic regression was subsequently developed to understand the extent to which each risk factor acts as a predictor for being diagnosed with TB. Age, health benefit or insurance, stress at work and living in a rural area all showed significant association with TB diagnosis status. This study’s findings suggest that suitable control measures, such as schemes for improving mental health/stress reduction and improved access to health care in rural areas should be implemented in Indonesia to address each of the key factors identified.

Tackling malnutrition is a major health priority for a developing country like Bangladesh. This study explored the differences in prevalence of having only one form, and multiple forms, of severe malnutrition (stunting, wasting and underweight) among under-5 children in Bangladesh, and aimed to identify the important factors affecting these. Data were extracted from the Bangladesh Demographic Health Surveys conducted in 2007, 2011 and 2014. The outcome measures were ‘only one form’ and ‘multiple forms’ of severe malnutrition in children aged under 5 years. A Chi-squared test was performed to find the association of outcome variables with selected socio-demographic factors and logistic regression models were applied to identify risk factors. A total of 19,874 children aged under 5 years were included in the analysis. The overall proportion with one form of severe child malnutrition was approximately 12%, and the proportion with multiple forms was 8%. Age, mother’s education, father’s occupation, mother currently working, watching television, source of water, solid waste used in cooking, intimate partner violence (IPV), wealth index, urban/rural place of residence and birth cohort were found to be significant factors for both having only one and having multiple forms of severe child malnutrition. Children with an uneducated mother of poor socioeconomic class had a higher risk of severe malnutrition. Children of fathers with a professional occupation were at lower risk of having multiple forms of severe malnutrition. The proportions of children aged under 5 years with one or multiple forms of severe malnutrition were shown to be high in Bangladesh. The prevention of malnutrition in the country should be seen as a significant public health issue and given top priority.

Couple-level reports of contraceptive use are important as wives and husbands may report their use differently. Using matched couple data (N = 63,060) from India’s NFHS-4 (2015–16), this study examined concordance in spousal reports of current contraceptive use and its differentials. Reporting of contraceptive use was higher among wives (59.0%) than husbands (25.2%). Concordance was low; 16.5% of couples reported the current use of the same method, while 20.4% reported the current use of any method. Many husbands did not report female sterilization as a means of contraception being used by their wives. Reconstruction of contraceptive use among men, based on the ‘ever-use of sterilization’ question asked to men, increased concordance by 10%. Multivariate analyses showed that concordance was low in urban and southern India, among younger women and among women with a lower wealth index. Men’s control over household decision-making and negative attitudes towards contraception were associated with lower concordance. The findings highlight the importance of using couple-level data to estimate contraceptive prevalence, and the role of education programmes to inculcate positive attitudes towards contraception, fostering gender equality and involving men in family planning efforts. The results also raise the issue of data quality as the survey questions were asked differently to men and women, which might have contributed to the wide observed discordance.

The diabetes epidemic is expanding rapidly in India, with 69.2 million people living with diabetes in 2015. This study assessed the spatial pattern and determinants of diagnosed diabetes prevalence in the districts of six states and one union territory (UT) in southern India – a region that has a high prevalence of diabetes. Using cross-sectional population-based survey data from the 2012–13 District Level Household and Facility Survey-4, the prevalence and magnitude of diagnosed diabetes at district level for the population aged 18 years and above were computed. Moran’s I was calculated to explore the spatial clustering of diagnosed diabetes prevalence. Ordinary Least Square (OLS) and Spatial Lag (SL) regression models were carried out to investigate the spatial determinants of diagnosed diabetes prevalence. The prevalence of diagnosed diabetes was found to be substantially higher than that of self-reported diabetes in southern India (7.64% vs 2.38%). Diagnosed diabetes prevalence in the study area varied from 10.52% in Goa to 4.89% in Telangana. The Moran’s I values signified positive moderate autocorrelation. Southern India had 14.15 million individuals with diagnosed diabetes in 2012–13. Bangalore had the highest number of persons with diagnosed diabetes, and Palakkad had the smallest number. In the OLS and SL models, the proportion of people with secondary education and above, wealthy and Christian populations were found to be significant determinants of diagnosed diabetes prevalence. In addition, in the OLS model, the proportion of Scheduled Tribe population showed a negative relationship with diagnosed diabetes prevalence. In order to prevent or postpone the onset age for diabetes, there is a need to raise awareness about diabetes in India.

Extant humans are currently increasing their genetic load, which is informing present and future human microevolution. This has been a gradual process that has been rising over the last centuries as a consequence of improved sanitation, nutritional improvements, advancements in microbiology and medical interventions, which have relaxed natural selection. Moreover, a reduction in infant and child mortality and changing societal attitudes towards fertility have led to a decrease in total fertility rates (TFRs) since the 19th century. Generally speaking, decreases in differential fertility and mortality have meant that there is less opportunity for natural selection to eliminate deleterious mutations from the human gene pool. It has been argued that the average human may carry ~250–300 mutations that are mostly deleterious, as well as several hundred less-deleterious variants. These deleterious alleles in extant humans mean that our fitness is being constrained. While such alleles are viewed as reducing human fitness, they may also have had an adaptive function in the past, such as assisting in genetic complexity, sexual recombination and diploidy. Saying this, our current knowledge on these fitness compromising alleles is still lacking.