Exploring the link between particulate matter pollution and acute respiratory infection risk in children using generalized estimating equations analysis: a robust statistical approach.

BACKGROUND: India is facing a burdensome public health challenge due to air pollution, with a particularly high burden of acute respiratory infections (ARI) among children. To address this issue, our study aims to evaluate the association between exposure to fine particulate matter (PM2.5) and ARI incidence in young children in India. MATERIALS AND METHODS: Our study used PM2.5 data provided by the Atmospheric Composition Analysis Group at Washington University to assess the association between PM2.5 exposure and ARI incidence in 223,375 children sampled from the 2019-2021 Demographic Health Survey in India. We employed the generalized estimating equation and reported odds ratios and 95% confidence intervals for a 10 µg/m3 increase in PM2.5 and quartiles of PM2.5 exposure. RESULTS: Each 10 µg/m3 increase in PM2.5 levels was associated with an increased odds of ARI (OR: 1.23, 95% CI: 1.19-1.27). A change from the first quartile of PM2.5 (2.5-34.4 µg/m3) to the second quartile (34.5-51.5 µg/m3) of PM2.5 was associated with a two-fold change (OR: 2.06, 95% CI: 1.60-2.66) in the odds of developing ARI. Similarly, comparing the first quartile to the fourth quartile of PM2.5 exposure (78.3-128.9 µg/m3) resulted in an over four-fold increase in the odds of ARI (OR: 4.45, 95% CI: 3.37-5.87). CONCLUSION: Mitigation efforts must be continued implementing higher restrictions in India and to bring new interventions to ensure safe levels of air for reducing the burden of disease and mortality associated with air pollution in India.

Self-rated health among older adults in India: Gender specific findings from National Sample Survey.

INTRODUCTION: The self-rated health (SRH) is a widely adopted indicator of overall health. The sponge hypothesis suggests that predictive power of SRH is stronger among women compared to men. To gain a better understanding of how gender influences SRH, this study examined whether and what determinants of gender disparity exist current self-rated health (SRHcurrent) and change in SRH (SRHchange) among older adults in Indian setting. MATERIALS AND METHODS: We used cross-sectional data from the 75th National Sample Survey Organizations (NSSO), collected from July 2017 to June 2018. The analytical sample constitutes 42,759 older individuals aged 60 years or older with 21,902 older men and 20,857 older women (eliminating two non-binary individuals). Outcome measures include two variables of poor/worse SRH status (SRHcurrent and SRHchange). We have calculated absolute gaps in the prevalence of poor SRHcurrent and worse SRHchange by background characteristics. We carried out binary logistic regression models to examine the predictors of poor SRHcurrent and worse SRHchange among older adults. RESULTS: The overall absolute gender gap in poor SRHcurrent was 3.27% and it was 0.58% in worse SRHchange. Older women had significantly higher odds of poor SRHcurrent [AOR = 1.09; CI = 0.99, 1.19] and worse SRHchange [AOR = 1.09; CI = 1.02, 1.16] compared to older men. Older adults belonging to middle-aged, oldest-old, economically dependent, not working, physically immobile, suffering from chronic diseases, belonging to Muslim religion, and Eastern region have found to have higher odds of poor SRHcurrent and worse SRHchange. Educational attainments showed lower odds of have poor SRHcurrent and worse SRHchange compared to those with no education. Respondents belonging to richest income quintile and those who were not covered by any health insurance, belonging to Schedule caste, OBC, Western and Southern regions are found to have lower odds of poor SRHcurrent and worse SRHchange. Compared to those in the urban residence, respondents from rural residence [AOR = 1.09; CI = 1.02, 1.16] had higher odds of worse SRHchange. CONCLUSIONS: Supporting the sponge hypothesis, a clear gender gap was observed in poor current SRH and worse change in SRH among older adults in India with a female disadvantage. We further found lower socioeconomic and health conditions and lack of resources as determinants of poor current SRH and its worse change, which is crucial to address the challenge of the older people's health and their perception of well-being.

What Determines the District-Level Disparities in Immunization Coverage in India: Findings from Five Rounds of the National Family Health Survey.

India's Universal Immunization Programme has been performing at a sub-optimal level over the past decade, with there being a wide disparity in terms of immunization coverage between states. This study investigates the covariates that affect immunization rates and inequality in India at the individual and district levels. We used data from the five rounds of the National Family Health Survey (NFHS), conducted from 1992-1993 to 2019-2021. We used multilevel binary logistic regression analysis to examine the association between demographic, socio-economic and healthcare factors and a child's full immunization status. Further, we used the Fairlie decomposition technique to understand the relative contribution of explanatory variables to a child's full immunization status between districts with different immunization coverage levels. We found that 76% of children received full immunization in 2019-2021. Children from less wealthy families, urban backgrounds, Muslims, and those with illiterate mothers were found to have lower chances of receiving full immunization. There is no evidence that gender and caste disparities have an impact on immunization coverage in India. We found that having a child's health card is the most significant contributor to reducing the disparities that exist regarding children's full immunization between mid- and low-performing districts. Our study suggests that healthcare-related variables are more crucial than demographic and socio-economic variables when determining ways in which to improve immunization coverage in Indian districts.

Perception, environmental determinants, and health complications of excess weight in India: a mixed methods approach.

In light of the high and rising prevalence of obesity, we studied females and males aged 25-54 years with excess weight in the Kolkata metropolitan region, one of India's main cities, to understand the perception, environmental determinants and health complications of obesity. We resorted to primary fieldwork. The close-ended quantitative survey questionnaire was designed to capture the perception and health complications of the sampled population, while a semi-structured interview guide comprising open-ended questions was prepared to capture the target population's in-depth views. Following the WHO guidelines on BMI and WC cut-off for Asian adults, the sampled population comprised females and males aged 25-54 with a waist circumference of 80 cm and 90 cm or higher, respectively, and a BMI of 25 or higher in the Kolkata metropolitan area. Using a concurrent mixed methods approach, we collected and analysed quantitative and qualitative data separately using descriptive statistics and inductive coding before combining them. In the study area, we completed 120 surveys and 18 in-depth interviews. Some environmental factors promoting obesity were the lack of access to healthy, fresh foods, lack of health awareness programmes, advertisements, and weather conditions in Kolkata. Interview participants also extended their concerns about food adulteration and the food industry. Participants confirmed that obesity could increase the risk of developing diabetes, hypertension, cholesterol and heart disease. Further, participants felt squatting was challenging for them. Hypertension was the most common existing health complication found among the study participants. Participants suggested raising awareness, promoting and making access to healthy food and wellness programs more accessible, and regulating fast foods and sugary beverages at institutional, community and social/public policy levels to prevent obesity. Health education and better policies are required to combat obesity and related complications.

The puzzle of underreporting disability among tribal population in India: is it a statistical artifact or reality?

India is undergoing a demographic transition, and so is the tribal population of India. The outcome of this is ageing, and ageing is associated with disability. The tribals are the most vulnerable and marginalized section, despite being significant in numbers, there has not been much exploration of disability among tribals and non-tribals. We used secondary data from the nationally representative, Longitudinal Ageing Study in India (2017-2018). Our sample size consisted of 64,417 adults ages 45 years and older. We defined the disability as having functional limitations. Regression analysis was done to examine the association between disability and caste. Further, to eliminate selection bias, we employed the propensity score matching. Also, lifestyle factors that may have a positive and negative impact on the functional health were analyzed. The results of the study found that the prevalence of functional limitation is lower among the tribal population. After controlling other socio-economic variables, we found that scheduled tribes have lower likelihood of functional limitations. Further, the propensity score matching was done to control for the observable group differences with respect to socioeconomic characteristics; the results still held true. We also found that the positive lifestyle was more prevalent among the tribal groups, which may have impacted their healthy living. The study empirically found that tribal population have lower disability in comparison to the non-tribal population in India. The tribal are more active physically and socially, which may reduce the level of functional disability.

Death registration coverage 2019-2021, India.

Objective: To investigate coverage and factors associated with death registration in India. Methods: We used data from the Indian National Family Health Survey 2019-2021. Based on responses of eligible household members, we estimated death registration in 84 390 deaths in all age groups across the country. We used multilevel logistic regression analysis to determine sociodemographic variables associated with death registration at state, district and individual levels. Findings: Nationally, 70.8% (59 748/84 390) of deaths were registered. Of 707 districts in our study period, 122 and 53 districts had death registration levels less than 40% in females and males, respectively. The likelihood of death registration was significantly lower for females than males (adjusted odds ratios, aOR: 0.61; 95% confidence interval, CI: 0.59-0.64). Death registration increased significantly with age of the deceased person, with the highest odds in 35-49-year-olds (aOR: 5.05; 95% CI: 4.58-5.57) compared with 0-4-year-olds. Death registration was less likely among rural households, disadvantaged castes, the poorest wealth quintile, Muslims and households without a below poverty level card. Higher education was associated with higher death registration with the greatest likelihood of registration in households with a member with post-secondary school education (aOR: 1.54; 95% CI: 1.42-1.66). District-level factors were not significantly associated with death registration. Conclusion: Sociodemographic characteristics of the deceased person were significantly associated with death registration. Strategies to raise awareness of death registration procedures among disadvantaged population groups and the introduction of a mobile telephone application for death registration are recommended to improve death registration in India.

Perception, risk factors, and health behaviours in adult obesity in Kolkata, India: a mixed methods approach.

BACKGROUND: World Health Organisation has described obesity as one of the most neglected public health issues. Initially, obesity was only a problem in high-income countries; however, at present, it is rising in middle and low-income countries as well, rapidly in India, especially in the urban areas. In the light of the increasing prevalence of obesity in India, it was worthwhile to study perception, risk factors and health behaviours in adult obesity holistically. METHODS: This study resorted to a concurrent mixed methods approach, collecting and combining quantitative survey (n = 120) and qualitative interview data (n = 18). Female and male aged 25-54 years with a waist circumference of 80 cm and 90 cm or higher, respectively, and a BMI of 25 or higher were selected from Kolkata, India. Kolkata was chosen as the study area since it ranked 7th out of 640 districts, the highest among the five major urban cities in India, with around 41% of the female and 43% of the male population aged 15-49 years with a BMI of 25 or higher. RESULTS: Participants confirmed that lifestyle was one of the main reasons for obesity. They believed that family history, social relations, behavioural factors, urbanisation, and time-poor were significant risk factors of obesity. Interview participants expanded that technology, lack of health education and self-care, and digital marketing of food influenced the risk of obesity. Participants confirmed that they wanted to lose weight to feel healthier. Most respondents claimed that they engaged in lightly to moderate-intensity physical activity. However, a discrepancy in opinion was observed between survey responses and interview participants' views on dietary behaviours. Participants confirmed that they rarely consulted health professionals and that the family had a minimal role in preventing obesity. Interview participants expanded that people should make better lifestyle choices at an individual level to prevent obesity. CONCLUSIONS: Health education is fundamental. Making better lifestyle choices is crucial, which would help increase the lifespan and health span and decrease the risk of diseases. In addition, social support and better policies are required to prevent the disease and any related complications.

An update on explaining the rural-urban gap in under-five mortality in India.

BACKGROUND: Rural Indians have higher mortality rates than urban Indians. However, the rural-urban gap in under-five mortality has changed is less researched. This paper aims to assess 1) whether the rural-urban gap in under-five mortality has reduced over time 2) Whether rural children are still experiencing a higher likelihood of death after eliminating the role of other socioeconomic factors 3) What factors are responsible for India's rural-urban gap in under-five mortality. METHODS: We used all rounds for National Family Health Survey data for understanding the trend of rural-urban gap in under-five mortality. Using NFHS-2019-21 data, we carried out a binary logistic regression analysis to examine the factors associated with under-five mortality. Fairlie's decomposition technique was applied to understand the relative contribution of different covariates to the rural-urban gap in under-five mortality. RESULTS: India has witnessed a more than 50% reduction in under-five mortality rate between 1992 and 93 and 2019-21. From 1992 to 93 to 2019-21, the annual decrease in rural and urban under-five mortality is 1.6% and 2.7%, respectively. Yet, rural population still contributes a higher proportion of the under-five deaths. The rural-urban gap in under-five mortality has reduced from 44 per thousand live births in 1992-1993 to 30 per thousand in 2004-2005 which further decreased to 14 per thousand in 2019-2021. There is no disadvantage for the rural children due to their place of residence if they belong to economically well-off household or their mothers are educated. It is wealth index rather than place of residence which determines the under-five mortality. Economic (50.82% contribution) and educational differential (28.57% contribution) are the main reasons for rural-urban under-five mortality gaps. CONCLUSION: The existing rural-urban gap in under-five mortality suggests that the social and health policies need to be need to reach rural children from poor families and uneducated mothers. This call for attention to ensure that the future programme must emphasize mothers from economically and educationally disadvantaged sections. While there should be more emphasis on equal access to health care facilities by the rural population, there should also be an effort to strengthen the rural economy and quality of education.

Socioeconomic inequalities in tobacco cessation among Indians above 15 years of age from 2009 to 2017: evidence from the Global Adult Tobacco Survey (GATS).

BACKGROUND: Tobacco is strongly associated with socioeconomic status (SES), however evidence on differences in tobacco cessation by socio-economic attributes remains fragmented, especially in developing countries. The present study aims to estimate socioeconomic inequalities in tobacco cessation among Indian men and women above 15 years of age. METHODS: Two rounds of the Global Adult Tobacco Survey (2009-2010 and 2016-2017), India was used to estimate the association between socioeconomic indicators (wealth index and educational attainment) with tobacco cessation using a multinomial modeling approach. RESULTS: After adjusting for SES and demographic variables, we found significantly lower odds in tobacco cessation rates among respondents of GATS-2 (2016-2017) compared to GATS-1 (2009-2010). Additionally, huge regional variations in smoking and smokeless tobacco cessation rates were observed. Population belonging to the low wealth-asset score had higher odds of cessation compared to the high asset index. While greater educational attainment was seen to have a positive effect on cessation, the results were insignificant. Individuals belonging to the northeastern geographic region were seen to have the lowest odds of cessation. Though awareness about the health hazards of tobacco increased, cessation declined for both men and women. Quitting smokeless tobacco among men and women was observed to be lower than smoking. CONCLUSION: This study is the first to provide national-level evidence on the association between tobacco cessation and socioeconomic attributes among Indians above 15 years of age. Findings suggest the need to scale up tobacco cessation services separately for men and women, and also for smoking and smokeless tobacco forms.

Performance barriers of Civil Registration System in Bihar: An exploratory study.

OBJECTIVES: Vital statistics generated by the Civil Registration System (CRS) are essential for developing healthcare interventions at all administrative levels. Bihar had one of the lowest levels of mortality registration among India's states. This study investigates CRS's performance barriers from the perspective of CRS staff and community members in Bihar. METHODS: We conducted a primary qualitative survey in the two districts of Bihar during February-March 2020 with CRS staff (n = 15) and community members (n = 90). We purposively selected the Patna and Vaishali districts of Bihar for the survey. Thematic analysis was done to identify the pattern across the data using the Atlas-ti software. RESULTS: Most participants showed a good understanding of registration procedures and birth and death registration benefits. The perceived need for death registration is lower than birth registration. Birth registration was higher among female children than male children. We found that most participants did not report children or adult female death due to lack of financial or property-related benefits. Most participants faced challenges in reporting birth and death due to poor delivery of services at the registration centres, higher indirect opportunity cost, and demand of bribes by the CRS staff for providing certificates. We found a lack of adequate investment, shortage of dedicated staff, and limited computer and internet services at the registration centres. CONCLUSIONS: Poor data on birth and death registration could lead decision-makers to target health services inappropriately. Strengthening health institutions' linkage with the registration centres, mobile registration in far-flung areas and regular CRS staff training could increase death registration levels. An adequate awareness campaign on the benefits of birth and death registration is required to increase the reporting of vital events.

Association of multimorbidity and physical activity among older adults in India: an analysis from the Longitudinal Ageing Survey of India (2017-2018).

OBJECTIVE: To examine the association of multimorbidity and physical activity among older adults in India. DESIGN: A cross-sectional study was conducted using large representative survey data. SETTING AND PARTICIPANTS: The study used data from the nationally representative 'Longitudinal Ageing Study in India (LASI),' conducted during 2017-2018. The study included a total sample of 65 336 older adults aged 45 years and above in India. METHODS: Moderate and vigorous physical activities were measured separately by self-reported questionnaires. Physical activity was calculated as minutes of metabolic equivalent tasks per week. The outcome variable was a categorical variable where 2=the prevalence of more than one morbidity, 1=presence of one morbidity and 0=none. Bivariate analysis and multinomial logistic regression were applied to fulfil the objectives. RESULTS: 27.39% of older adults in India had multimorbidity. 31.02% of older adults did not engage in any moderate physical activities. Also, 59.39% of older adults did not engage in any vigorous physical activities. Older adults reporting low (adjusted relative risk ratio (A RRR): 1.10, 95% CI 1.03 to 1.18) and moderate (A RRR): 1.05, 95% CI 0.98 to 1.13) level of moderate physical activity were significantly more likely to suffer from multimorbidity compared with no involvement in moderate physical activity. However, older adults who reported high (A RRR: 0.79, 95% CI 0.75 to 0.84), moderate (A RRR: 0.88, 95% CI 0.80 to 0.98) and low level of vigorous physical activity (A RRR: 0.94, 95% CI 0.86 to 1.02) had significantly less multimorbidity in comparison to those who never engaged in vigorous physical activity. CONCLUSION: Lack of physical activity is associated with multimorbidity among older adults. Physical activity promotion should be adopted as a primary strategy in reducing the burden of morbidity and multimorbidity.

Child, maternal, and adult mortality in Sierra Leone: nationally representative mortality survey 2018-20.

BACKGROUND: Sierra Leone's child and maternal mortality rates are among the highest in the world. However, little is known about the causes of premature mortality in the country. To rectify this, the Ministry of Health and Sanitation of Sierra Leone launched the Sierra Leone Sample Registration System (SL-SRS) of births and deaths. Here, we report cause-specific mortality from the first SL-SRS round, representing deaths from 2018 to 2020. METHODS: The Countrywide Mortality Surveillance for Action platform established the SL-SRS, which involved conducting electronic verbal autopsies in 678 randomly selected villages and urban blocks throughout the country. 61 surveyors, in teams of four or five, enrolled people and ascertained deaths of individuals younger than 70 years in 2019-20, capturing verbal autopsies on deaths from 2018 to 2020. Centrally, two trained physicians independently assigned causes of death according to the International Classification of Diseases (tenth edition). SL-SRS death proportions were applied to 5-year mortality averages from the UN World Population Prospects (2019) to derive cause-specific death totals and risks of death nationally and in four Sierra Leone regions, with comparisons made with the Western region where Freetown, the capital, is located. We compared SL-SRS results with the cause-specific mortality estimates for Sierra Leone in the 2019 WHO Global Health Estimates. FINDINGS: Between Sept 1, 2019, and Dec 15, 2020, we enrolled 343 000 people and ascertained 8374 deaths of individuals younger than 70 years. Malaria was the leading cause of death in children and adults, nationally and in each region, representing 22% of deaths under age 70 years in 2020. Other infectious diseases accounted for an additional 16% of deaths. Overall maternal mortality ratio was 510 deaths per 100 000 livebirths (95% CI 483-538), and neonatal mortality rate was 31·1 deaths per 1000 livebirths (95% CI 30·4-31·8), both among the highest rates in the world. Haemorrhage was the major cause of maternal mortality and birth asphyxia or trauma was the major cause of neonatal mortality. Excess deaths were not detected in the months of 2020 corresponding to the peak of the COVID-19 pandemic. Half of the deaths occurred in rural areas and at home. If the Northern, Eastern, and Southern regions of Sierra Leone had the lower death rates observed in the Western region, about 20 000 deaths (just over a quarter of national total deaths in people younger than 70 years) would have been avoided. WHO model-based data vastly underestimated malaria deaths and some specific causes of injury deaths, and substantially overestimated maternal mortality. INTERPRETATION: Over 60% of individuals in Sierra Leone die prematurely, before age 70 years, most from preventable or treatable causes. Nationally representative mortality surveys such as the SL-SRS are of high value in providing reliable cause-of-death information to set public health priorities and target interventions in low-income countries. FUNDING: Bill & Melinda Gates Foundation, Canadian Institutes of Health Research, Queen Elizabeth Scholarship Program.

District level correlates of COVID-19 pandemic in India during March-October 2020.

BACKGROUND: COVID-19 is affecting the entire population of India. Understanding district level correlates of the COVID-19's infection ratio (IR) is essential for formulating policies and interventions. OBJECTIVE: The present study aims to investigate the district level variation in COVID-19 during March-October 2020. The present study also examines the association between India's socioeconomic and demographic characteristics and the COVID-19 infection ratio at the district level. DATA AND METHODS: We used publicly available crowdsourced district-level data on COVID-19 from March 14, 2020, to October 31, 2020. We identified hotspot and cold spot districts for COVID-19 cases and infection ratio. We have also carried out two sets of regression analysis to highlight the district level demographic, socioeconomic, household infrastructure facilities, and health-related correlates of the COVID-19 infection ratio. RESULTS: The results showed on October 31, 2020, the IR in India was 42.85 per hundred thousand population, with the highest in Kerala (259.63) and the lowest in Bihar (6.58). About 80 percent infected cases and 61 percent deaths were observed in nine states (Delhi, Gujarat, West Bengal, Uttar Pradesh, Andhra Pradesh, Maharashtra, Karnataka, Tamil Nadu, and Telangana). Moran's- I showed a positive yet poor spatial clustering in the COVID-19 IR over neighboring districts. Our regression analysis demonstrated that percent of 15-59 aged population, district population density, percent of the urban population, district-level testing ratio, and percent of stunted children were significantly and positively associated with the COVID-19 infection ratio. We also found that, with an increasing percentage of literacy, there is a lower infection ratio in Indian districts. CONCLUSION: The COVID-19 infection ratio was found to be more rampant in districts with a higher working-age population, higher population density, a higher urban population, a higher testing ratio, and a higher level of stunted children. The study findings provide crucial information for policy discourse, emphasizing the vulnerability of the highly urbanized and densely populated areas.

Determinants of birth registration in India: Evidence from NFHS 2015-16.

OBJECTIVES: Official data on birth is important to monitor the specific targets of SDGs. About 2.7 million children under age five years do not have official birth registration document in India. Unavailability of birth registration document may deprive the children from access to government-aided essential services such as fixed years of formal education, healthcare, and legal protection. This study examines the effect of socioeconomic, demographic and health care factors on birth registration in India. We also examined the spatial pattern of completeness of birth registration that could be useful for district level intervention. METHODS: We used data from the National Family Health Survey (NFHS-4), 2015-16. We carried out the descriptive statistics and bivariate analysis. Besides, we used multilevel binary logistic regression to identify significant covariates of birth registration at the individual, district, and state levels. We used GIS software to do spatial mapping of completeness of birth registration at district level. RESULTS: The birth registration level was lower than national average (80.21%) in the 254 districts. In Uttar Pradesh, 12 out of 71 districts recorded lower than 50% birth registration. Also, some districts from Arunachal Pradesh, J&K, and Rajasthan recorded lower than 50% birth registration. We also found a lower proportion of children are registered among children of birth order three and above (62.83%) and rural resident (76.62%). Children of mothers with no formal education, no media exposure, poorest wealth quintile, OBC and muslims religion have lower level of birth registration. Multilevel regression result showed 25 percent variation in birth registration lie between states while the remaining 75 percent variation lie within states. Moreover, children among illiterate mother (AOR = 0.57, CI [0.54, 0.61], p<0.001), Muslims households (AOR = 0.90, CI [0.87, 0.94], p<0.001), and poorest wealth quintile (AOR = 0.38, CI [0.36, 0.41], p<0.001) showed lower odds for child's birth registration. CONCLUSION: We strongly suggest linking the birth registration facilities with health institutions.

Education and grip strength among older Thai adults: A mediation analysis on health-related behaviours.

Abstract. BACKGROUND: Previous studies have investigated the effect of differential educational attainment at younger ages on health disparities among older adults, but how such an effect can be attenuated remains understudied. This study examines the mediating effects of four health-related behaviours, namely smoking, alcohol drinking, healthy eating, and physical activity, on the relationship between older adults' education and grip strength. METHODS: The study used data from 7,064 individuals aged 60 years and older who participated in the 2009 National Health Examination Survey of Thailand. To examine the relationships among education, health behaviours, and grip strength, multivariate regressions were performed following Baron and Kenny's approach. Generalized Structural Equation Modelling (SEM) was utilized to quantify the mediating effects. RESULTS: All else being equal, education is positively associated with stronger grip for both genders. The mediation analyses demonstrate that health-related behaviour plays an important role in the relationship between education and grip strength; however, the extent to which it mediates the effect of education varies with the type of health behaviour and between genders. Not smoking and engaging in physical activity can partly explain the relationship between education and grip strength in older men. Meanwhile, the consumption of fruits and vegetables and participation in regular physical activity significantly mediate the effect of education on grip strength in older women. CONCLUSION: Our study reaffirms the importance of educational opportunity in earlier life and recommends health-related behavioural modifications to improve health status in low-educated older adults.

Trends in missing females at birth in India from 1981 to 2016: analyses of 2·1 million birth histories in nationally representative surveys.

BACKGROUND: Half of the world's missing female births occur in India, due to sex-selective abortion. It is unknown whether selective abortion of female fetuses has changed in recent years across different birth orders. We sought to document the trends in missing female births, particularly among second and third children, at national and state levels. METHODS: We examined birth histories from five nationally representative household surveys (National Family Health Surveys 1-4 and District Level Household Survey 2) to compute the conditional sex ratio (defined as the number of girls born per 1000 boys depending on previous birth sex) in India during 1981-2016. We estimated decadal variation in conditional sex ratio for 1987-96, 1997-2006, and 2007-16, and quantified trends in the numbers of missing female births for the states constituting >95% of India's population, as well as in 5-year intervals for each survey round. We used multivariate logistic regression to calculate the odds ratio of a second (or third) girl depending on the sex of the earlier child (or children), adjusting for education, wealth, religion, caste, and place of residence. FINDINGS: We assessed 2·1 million birth histories across the five surveys. Applying the conditional sex ratios from the surveys to national births, we found that 13·5 million female births were missing during the three decades of observation (1987-2016), on the basis of a natural sex ratio of 950 girls per 1000 boys. Missing female births increased from 3·5 million in 1987-96 to 5·5 million in 2007-16. Contrasting the conditional sex ratio from the first decade of observation (1987-96) to the last (2007-16) showed worsening for the whole of India and almost all states, among both birth orders. Punjab, Haryana, Gujarat, and Rajasthan had the most skewed sex ratios, comprising nearly a third of the national totals of missing second-born and third-born females at birth. From about 1986, the conditional sex ratio for second-order or third-order births after an earlier daughter or daughters diverged notably from that after an earlier son or sons. From 1981 to 2016, the sex ratio for second-born children after an earlier daughter decreased from 930 (99% CI 869-990) to 885 (859-912), and that for third-born children after two earlier daughters decreased from 968 (866-1069) to 788 (746-830). The probability of missing girls was mostly determined by earlier daughters, even after considering wealth quintile and education levels. The conditional sex ratio among the richest and most educated mothers was most distorted compared with lower wealth and education groups, and generally decreased with time, until a modest improvement in 2007-16. INTERPRETATION: In contrast to the substantial improvements in female child mortality in India, missing female births, driven by selective abortion of female fetuses, continues to increase across the states. Inclusion of a question on sex composition of births in the forthcoming census would provide local information on sex-selective abortion in each village and urban area of the country. FUNDING: None. TRANSLATION: For the Hindi translation of the abstract see Supplementary Materials section.

Spatial pattern and determinants of diagnosed diabetes in southern India: evidence from a 2012-13 population-based survey.

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.

A qualitative study of the barriers to utilizing healthcare services among the tribal population in Assam.

OBJECTIVE: We aim to explore the barriers to accessing modern healthcare services in two tribal populations in Assam. METHODS: In March 2018, we conducted qualitative research through 60 in-depth interviews with men and women aged 15 to 50 from Bodo and Rabha tribes in Udalguri and Baksa districts of Assam. We interviewed a group of health-service providers from public health facilities to understand the demand-supply balance in those facilities. FINDINGS: On the demand side, direct and indirect financial obstacles, distance to health facilities, poor public transportation, perceived negative behavior of hospital staff, and lack of infrastructure were the main barriers to utilizing healthcare facilities. On the supply side, doctors and nurses in government health facilities were overburdened by demand due to a lack of human resources. CONCLUSIONS: Our study highlights the barriers to utilizing health facilities; these are not always driven by factors linked to the patient's socio-economic status but also depend significantly on the quality of the health services and other contextual factors. Although the government has made efforts to improve the rural healthcare system through national-level programs, our qualitative study shows that these programs have not been successful in enhancing the rural healthcare system in the study area.