Continuum of care throughout pregnancy, delivery and post-delivery has proved to be a critical health intervention for improving the health of mothers and their newborn children. Using data from the fourth wave of the National Family Health Survey (NFHS-4) conducted in 2015–16, this study examined the correlates of utilization of maternal health care services and child immunization following the continuum of care approach in India. The study also assessed whether the continuity in utilizing maternal health care services affects the immunization of children. A total of 33,422 survey women aged 15–49 were included in the analysis of maternal health care indicators, and 8246 children aged 12–23 months for the analysis of child immunization. The results indicated that about 19% of the women had completed the maternal health continuum, i.e. received full antenatal care, had an institutional delivery and received postnatal care. Women with a higher level of education and of higher economic status were more likely to have complete continuum of care. Continuity of maternal health care was found to be associated with an increase in the immunization level of children. It was observed that 76% of the children whose mothers had complete continuum of care were fully immunized. Furthermore, the results from propensity score matching revealed that if mothers received continuum of care, the chance of their child being fully immunized increased by 17 percentage points. The results suggest that promotion of the continuum of maternal health care approach could help reduce not only the burden of maternal deaths in India, but also that of child deaths by increasing the immunization level of children.

Adolescents, pregnant women and mothers of children under 2 years of age are in stages of life characterized by higher nutritional demands. The study measured the dietary diversity of 17,680 adolescent girls, pregnant women and mothers of children under age 2 years in the eastern Indian states of Bihar, Chhattisgarh and Odisha using data from the Swabhimaan baseline survey conducted in 2016. The association of women’s mean Dietary Diversity Scores with socioeconomic, health and nutrition service indicators was assessed. The sampled population was socioeconomically more vulnerable than the average Indian population. There was not much variation in the types of foods consumed daily across target groups, with diet being predominantly cereal (98%) and vegetable (83%) based. Nearly 30% of the mothers had low Dietary Diversity Scores, compared with 25% of pregnant women and 24% of adolescent girls. In each target group, more than half of the respondents were unable to meet the Minimum Dietary Diversity score of at least five of ten food groups consumed daily. Irrespective of their background characteristics, mean Dietary Diversity Scores were significantly lower in Bihar than in Chhattisgarh and Odisha for all target groups. Having at least 6 years of education, belonging to a relatively rich household and possessing a ration card predicted mean dietary diversity. Project interventions of participatory women’s group meetings improved mean Dietary Diversity Scores for mothers and adolescent girls. Considering the association between poverty and dietary diversity, the linkage between girls and women and nutrition-focused livelihoods and supplementary nutrition programmes needs to be tested.

Economic progress in India over the past three decades has not been accompanied by a commensurate improvement in the nutritional status of children, and a disproportionate burden of undernutrition is still focused on socioeconomically disadvantaged populations in the poorest regions. This study examined the nutritional status of children under 3 years of age using data from the fourth round of Indian National Family Health Survey conducted in 2015–2016. Child undernutrition was assessed in a sample of 126,431 under-3 children using the anthropometric indices of stunting, underweight and wasting (‘anthropometric failure’) across 640 districts, 5489 primary sampling units and 35 states/UTs of India. Descriptive statistics were used to examine the regional pattern of childhood undernutrition. Multilevel logistic regression models were fitted to examine the adjusted effect of social group (tribal vs non-tribal) and economic, demographic and contextual factors on the risks of stunting, underweight and wasting accounting for the hierarchical nature of the data. Interaction effects were estimated to model the joint effects of socioeconomic position (household wealth, maternal education, urban/rural residence and geographical region) and social group (tribal vs non-tribal) with the likelihood of anthropometric failure among children. The burden of childhood undernutrition was found to vary starkly across social, economic, demographic and contextual factors. Interaction effects demonstrated that tribal children from economically poorer households, with less-educated mothers, residing in rural areas and living in the Central region of India had elevated odds of anthropometric deprivation than other tribal children. The one-size-fits-all approach to tackling undernutrition in tribal children may not be efficient and could be counterproductive.

With simultaneous efforts to address a huge burden of malnutrition, especially among children and younger women, India also encounters a mushrooming prevalence of overweight and obesity among the adult population. This study analysed data from two consecutive rounds of the National Family Health Survey (NFHS) conducted in 2005–06 and 2015–16, to present the burden of overweight and obesity among adult men and women in India. The findings highlight a rising burden of overweight and obesity, although the level and the extent of change over the study period varied across states. The district-wise analysis revealed geographical clusters of overweight and obesity. Further investigation suggests that overweight or obesity are not exclusive to urban areas, and economically well-off populations are more inclined to be overweight or obese. The trends and patterns of overweight and obesity in India argue for timely public health preparedness and interventions to avoid the rising incidence of non-communicable diseases in India.

Male involvement in maternal health care utilization is an important contributor to maternal health, especially in male-dominated societies. This study aimed to understand the variations and determinants of women’s antenatal care (ANC) utilization and institutional delivery in India and three socioeconomically less-developed states (Bihar, Madhya Pradesh and Uttar Pradesh) using NFHS-4 data (2015–16). Husband’s knowledge of pregnancy care and delivery, having a non-violent marital relationship and a respectful attitude towards his wife, better education and wealth, higher exposure to mass media and fewer children substantially enhanced the probability of him being present at his wife’s ANC visits. Furthermore, men’s presence at any ANC visit was shown to be an important factor influencing institutional delivery in India as a whole, as well as in the three less-developed states. The two major hurdles in maternal and child health care utilization in India were incorrect perception of ‘unnecessary’ maternal health care by families and high cost as reported by husbands. Furthermore, the proportion of husbands who received knowledge from health workers on maternal and child health was too low to achieve the maternal health SDGs by 2030. The dissemination of knowledge on maternal care among husbands, and encouraging their presence during antenatal care, may help secure better maternal health outcomes in India. It is imperative that the husband-involvement agenda is strengthened in India if the SDGs for maternal care are to be achieved.

Age at menarche was investigated using data collected from demographic surveys (WFS, DHS) conducted in Nigeria between 1982 and 2018, all of which were based on large representative samples of the female population. Linear-logistic regressions were used to estimate mean age at menarche, its trends and its risk factors. Mean age at menarche had underwent a marked secular decline from 15.02 years for girls born in 1933 to 13.78 years for girls born in 2003. In multivariate analysis, height (stature), body mass index (BMI), level of education and household wealth had independent effects on age at menarche, whereas urban residence had no effect. Socioeconomic gradients were large: +9 years of schooling was associated with a –0.52 year decrease in age at menarche, and +2 standard deviations in household wealth with a –0.33 year decrease. The impact of anthropometry was even greater: +2 standard deviations in height was associated with a –0.99 year decrease in age at menarche, and +2 standard deviations in BMI with a –1.42 year decrease. Northern provinces had a higher mean age at menarche than southern provinces. Compared with independent sources, long-term trends in age at menarche, as well as their fluctuations, appeared to be correlated with trends and fluctuations in income per capita and in under-five mortality, but not with divergent trends in adult height.

Multiple studies suggest that diabetes mellitus (DM) is a potential risk factor for tuberculosis (TB) development and treatment, especially in low- and middle-income countries. The study aimed to test concomitancy between DM and TB among adults in India. Data were from the 2015–16 National Family Health Survey (NFHS-4). The study sample comprised 107,575 men aged 15–54 and 677,292 women aged 15–49 for which data on DM status were available in the survey. The association between state-level prevalence of TB and DM was examined and robust Poisson regression analysis applied to examine the effect of DM on TB. A high prevalence of TB was observed among individuals with diabetes in India in 2015–16. A total of 866 per 100,000 men and 405 per 100,000 women who self-reported having diabetes also had TB; among those who self-reported not having diabetes the ratios were 407 per 100,000 men and 241 per 100,000 women. The risk of having TB among those who self-reported having DM was higher for both men (2.03, 95% CI: 1.26, 3.28) and women (1.79, 95% CI: 1.48, 2.49) than for those who did not self-report having DM. Adults who were diagnosed with diabetes (including pre-diabetes) also had a higher rate of TB (477 per 100,000 men and 331 per 100,000 women) than those who were not diagnosed (410 per 100,000 men and 239 per 100,000 women). Adults from poor families, with lower BMIs, lower levels of literacy and who were not working had a higher risk of TB–DM co-morbidity. The state-level pattern of co-morbidity, the under-reporting of DM (undiagnosed) and TB stigmatization are discussed. The study confirms that diabetes is an important co-morbid feature with TB in India, and reinforces the need to raise awareness on screening for the co-existence of DM and TB with integrated health programmes for the two conditions.

Skilled delivery care has been targeted in the Sustainable Development Goals to reduce preventable maternal and newborn deaths, which mostly occur because of birthing complications. Birthing complications are more frequent in women with unintended than intended pregnancies, and around 43% of total pregnancies in low- and middle-income countries are unintended. This study quantified the impact of unintended pregnancy on skilled birth attendance and delivery in health care facilities in Bangladesh. Data from 4493 women participating in the cross-sectional 2014 Bangladesh Demographic and Health Survey were analysed. Multilevel logistic regression models were used to assess the association of unintended pregnancy with skilled birth attendance and delivery in a health care facility through skilled providers while adjusting for individual-, household- and community-level factors identified using a directed acyclic graph. Around 26% of women reported that their last pregnancy (occurring within the previous 3 years) that ended with a live birth was unintended at conception. Only 42% reported having a skilled birth attendant present at their last birth and 38% gave birth in a health care facility. Significant differences were found across pregnancy intention. Lower odds of skilled birth attendance (OR, 0.70, 95% CI, 0.52–0.93) and delivery in a health care facility through skilled providers (OR, 0.65, 95% CI, 0.48–0.89) were found among women who had an unwanted pregnancy relative to women who had a wanted pregnancy. However, a mistimed pregnancy was not found to be associated with skilled birth attendance or delivery in health care facility through skilled providers. Increased availability of health care facilities at the community level is required in Bangladesh to ensure skilled delivery care for women with an unwanted pregnancy. Policies are also required to integrate women with an unwanted pregnancy into mainstream health care services through earlier detection and increased awareness in order to reduce the adverse maternal and fetal outcomes associated with lack of quality birthing care.

Due to the higher costs and selection bias of directly measuring weight, the majority of body weight data are based on survey responses. However, these statements are subject to systematic biases of social desirability; therefore, it is important to evaluate the magnitude of bias through indirect indicators such as rounding of weights. Data from seven rounds of the Spanish National Health Survey from 1995 to 2017 were included in the study, with 113,284 subjects. A general rounding index of weights terminating in 0 and 5, and a partial rounding index that estimated the bias direction, were used to estimate the bias distribution in the self-reporting of body weight. All body weights were systematically rounded, although more strongly in the lower weights and even more so in the higher weights. Lower weights were rounded up, and the higher weights rounded down. Regarding gender, men had higher rounding indices than women. The subjects generally reported a weight closer to the socially desirable weight. Rounding allows estimating the historical evolution of this bias in health and nutrition surveys, having more accurate information by population segments and designing public policies against obesity aimed at the more affected social segments.

The aim of this study was to investigate the possible associations between depression, height and body mass index (BMI) in the adolescent and adult population of Penza city and oblast, Russia. The study included 554 adults aged 16–89 years. The presence and severity of depression was evaluated using Beck’s Depression Inventory (BDI-II). The participants self-reported their height (cm) and weight (kg) and these were used to calculate their BMI (kg/m2). Significant correlations were obtained between depression and short stature in young men, depression and short stature in participants with normal BMI and depression and age in overweight participants. Young women aged 16–23 years, and older men aged 60–89 years, presented the highest and very similar depression scores with no statistically significant difference between them. Special attention should be paid in Russia to these groups due to their higher risk of depressive disorders.