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.

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.

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.

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.

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.

What has contributed to improvements in the child sex ratio in select districts of India? A decomposition of the sex ratio at birth and child mortality.

Despite an overall downward trend in child sex ratios in India, some of the most imbalanced districts in 2001 (fewer girls than boys) showed signs of becoming more balanced in 2011. This analysis looked in depth at these districts to better understand the nature of the improvement in the child sex ratio using two rounds of data from the Census of India from 2001 and 2011. Data were used from the 153 districts that showed improvement in their child sex ratio between 2001 and 2011. The improvement was decomposed into: (1) less sex-selective abortion and (2) improved girl compared with boy mortality. Most of the improvement in child sex ratios were shown to be due to reductions in sex-selective abortion, although this still made up the majority of the cause of imbalanced sex ratios in 2011. Child sex ratio improvement has been happening in both rural and urban areas of India, and there is evidence of stagnation in mortality decline for urban girls.

Adult mortality in sub-Saharan Africa: cross-sectional study of causes of death in Zambia.

OBJECTIVE: To describe the age-sex pattern and socio-economic differentials in causes of death among adults between the ages of 15 and 59 years in Zambia. METHODS: Using data from the 2010-2012 Zambia sample vital registration with verbal autopsy survey, we calculated the percentage share of causes of death, the age-/sex cause-specific death ratio and cause-eliminated life expectancy at age 15. RESULTS: HIV/AIDS was the leading cause of death across all socio-economic subgroups contributing 40.7% of total deaths during the study period. This was followed by deaths due to injury and accidents (11.2%). Cause-specific death ratios due to HIV/AIDS increased by age and peaked in the 35-39 age group and were higher among females than males. The second-leading cause of death was injuries and accidents for males and tuberculosis for females. The third-leading cause of death was cardiovascular diseases for females and tuberculosis for males. Cause of death patterns varied notably by socio-economic characteristics. Deaths attributable to non-communicable diseases were more evident in adults aged 45-59 years. Eliminating HIV/AIDS in Zambia as a cause of death could raise life expectancy at age 15 by 5.7 years for males and by 6.4 years for females. CONCLUSION: HIV/AIDS-related health programmes and interventions should be further supported and strengthened, as they would significantly contribute to the reduction in adult mortality in Zambia.

OBJECTIF: Décrire les profilsselon l'âge et le sexe, et les différences socioéconomiques dans les causes de décès chez les adultes âgés de 15 à 59 ans en Zambie. MÉTHODES: En utilisant les données de l'enregistrement de l'état civil d'un échantillon de la Zambie de 2010 à 2012 avec l'enquête sur l'autopsie verbale, nous avons calculé la part en pourcentage des causes de décès, le taux de mortalité selon l'âge et le sexe et l'espérance de vie éliminée à 15 ans. RÉSULTATS: Le VIH/SIDA était la principale cause de décès dans tous les sous-groupes socioéconomiques, contribuant à 40,7% du nombre total de décès au cours de la période de l'étude. Viennent ensuite les décès par blessures et accidents (11,2%). Les taux de mortalité par cause dus au VIH/SIDA ont augmenté avec l'âge et ont culminé dans le groupe d'âge des 35 à 39 ans et étaient plus élevés chez les femmes que chez les hommes. La deuxième cause de décès était les blessures et les accidents chez les femmes et la tuberculose chez les hommes. Latroisième cause de décès était les maladies cardiovasculaires chez les femmes et la tuberculose chez les hommes. Les causes de décès variaient notamment en fonction des caractéristiques socioéconomiques. Les décès imputables aux maladies non transmissibles étaient plus évidents chez les adultes âgés de 45 à 59 ans. L'élimination du VIH/SIDA en Zambie en tant que cause de décès pourrait augmenter l'espérance de vie à 15 ans de 5,77 ans pour les hommes et de 6,40 ans pour les femmes. CONCLUSION: Les programmes et interventions de santé liés au VIH/SIDA devraient être davantage soutenus et renforcés, car ils contribueraient de manière significative à la réduction de la mortalité des adultes en Zambie.

Chronic morbidity and reported disability among older persons from the India Human Development Survey.

BACKGROUND: The burden of disability and chronic morbidity among the elderly has been increasing substantially in India in recent years. Yet, the use of nationally representative data to investigate the relationship between chronic morbidity and reported disability in the country has been minimal. The objective of this study is twofold: i) to quantify the association between chronic morbidities and overall disabilities in the activities of daily living (ADLs) among elderly people in India, and ii) to understand how various chronic morbidities influence individual ADLs, specifically, walking, toileting and dressing. METHODS: We used data from the India Human Development Survey-II (IHDS-II) as a basis for this study. We computed the Katz Index of independence in ADL to examine the burden of disability among the elderly. Ordered logistic regression was carried out to examine the effect of chronic morbidities on: i) the disability index (where 0 = no disability; 1 = disability in 1 or 2 ADLs; and 2 = disability in 3 ADLs), and ii) disabilities in three ADLs in the population over-60 years of age in India. RESULTS: The percentage of people scoring lower Katz index (indicating severe and mild disability) in at least one of the three ADLs is very high in India (17.91% for males and 26.21% for females). Irrespective of the type of ADL, the Katz score is lower in elderly females than in elderly males. Elderly people who are illiterate and belong to the poorest wealth quintile report lower Katz scores in ADL. Both bivariate and multivariate analyses confirm that all three types of chronic morbidities are positively and significantly associated with a disability condition in the ADLs. Yet, the effects of morbidities vary greatly according to the type of disability. For instance, while diabetes affect walking (OR: 2.56; 95% CI: 2.29-2.86), and toileting (OR: 2.63; 95% CI: 2.26-3.07), high blood pressure mainly affects walking (OR: 2.29, 95% CI: 2.09-2.5) and dressing disabilities (OR: 2.13, 95% CI: 1.84-2.46). CONCLUSIONS: Chronic morbidity is a decisive factor in old age disability. It is crucial to reduce chronic morbidity in a timely way to minimise the enormous associated burden of disability.

The effects of substance use on non-communicable diseases among older adults aged 60 and above in the North-eastern States of India.

INTRODUCTION: The North-eastern region of India has a relatively higher prevalence of substance use, which together with poor dietary practices and a lack of physical activity is one of the key risk factors for NCDs among older adults in the region. Understanding the prevalence of NCDs and their relationship to substance use can help develop preventive strategies and sensitization in North-eastern India. OBJECTIVE: To assess the prevalence of NCDs and the strength of the association of substance abuse among the geriatric population of North-eastern states in India, for the development of preventive strategies. METHODS: Data from the Longitudinal Ageing Study in India (LASI Wave-I, 2017-18) were drawn to develop this paper. The bi-variate and binary logistic regression analyses were carried out to predict the association between non-communicable diseases and substance use adjusting select socio-demographic characteristics. RESULTS: The paper revealed the prevalence of NCDs among urban people (61.45%) is higher than among rural people (42.45%). Hypertension (37.29%) can be seen as the most prevalent disease among the following given NCDs followed by Diabetes (8.94%). The chances of having Cancer are nineteen times higher (OR = 19.8; C.I. = 18.82-20.83) if an individual has past smoking behaviour after controlling for socio-demographic and physical activity variables. CONCLUSION: Since, the high prevalence of hypertension correlated with the high level of substance abuse, require immediate attention to develop appropriate intervention strategies for its control (substance abuse) and prevention of hypertension. In a lower middle-income country like India, preventive measures, rather than curative measures will be cost-effective and helpful.

Disparity by caste and tribe: Understanding women's empowerment and health outcomes in India.

AIM: Women's empowerment status varies greatly in India according to caste, class, ethnicity and region. This paper aims to investigate the caste/tribe disparity in women's empowerment by region, the main correlates of each domain of empowerment, and the association of women's empowerment with nutritional and health care access outcomes, specifically anaemia, menstrual hygiene, and institutional delivery. METHODOLOGY: Using National Family Health Survey-5 (2019-2021) data, we have created a modified survey-based women's empowerment index (SWPER) using principal component analysis with Oblique varimax rotation. The first four components are interpreted as an attitude to violence, freedom of movement, decision-making power and social independence. Several multivariate regression models were used to understand the factor associated with empowerment and the association of women's empowerment with different health outcomes. RESULTS: The results indicate that women from the forward castes are the most empowered in most domains except decision-making. However, after controlling other background variables, the forward castes women are found to be the most empowered in attitude to violence, whereas Scheduled Castes and Scheduled Tribes women were found to be the most empowered women in decision-making. With regards to social independence, deprived castes women are more empowered than the forward castes women. The likelihood of empowerment in social independence domain increases with increasing wealth. There are wide regional variations in empowerment level between different social groups. Caste/tribe identity plays a significant role in determining health outcomes in India. Among all empowerment domains, social independence emerges as the most significant associated factor with improved health across all caste/tribe groups. CONCLUSION: The path to women's empowerment in India must recognize the intersectionality of caste/tribe identities, and address regional disparities. Social independence emerges as a critical determinant across all caste/tribe groups for improving health. Measures should be taken to empower women through the underlying factors of social independence.

Air Pollution and Mortality in India: Investigating the Nexus of Ambient and Household Pollution Across Life Stages.

Air pollution in India is a foremost environmental risk factor that affects human health. This study first investigates the geographical distribution of ambient and household air pollution (HAP) and then examines the associated mortality risk. Data on fine particulate matter (PM2.5) concentration has been extracted from the Greenhouse Gas Air Pollution Interactions and Synergies (GAINS) model. HAP, mortality and socio-demographic data were extracted from the National Family and Health Survey-5, India, 2019-2021. Regression models were applied to see the difference in age-group mortality by different pollution parameters. The districts with PM2.5 concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 µg/m3 show a higher risk of neonatal (OR-1.86, CI 1.418-2.433), postneonatal (OR-2.04, CI 1.399-2.971), child (OR-2.19, CI 0.999-4.803) and adult death (OR-1.13, CI 1.060-1.208). The absence of a separate kitchen shows a higher probability of neonatal (OR: 1.18, CI 1.074-1.306) and adult death (OR-1.06, CI 1.027-1.088). The interaction between PM2.5 levels above NAAQS and HAP leads to a substantial rise in mortality observed for neonatal (OR 1.19 CI 1.051-1.337), child (OR 1.17 CI 1.054-1.289), and adult (OR 1.13 CI 1.096-1.168) age groups. This study advocates that there is a strong positive association between ambient and HAP and mortality risk. PM2.5 pollution significantly contributes to the mortality risk in all age groups. Children are more vulnerable to HAP than adults. In India, policymakers should focus on reducing the anthropogenic PM2.5 emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.

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.

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.

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.

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.

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.

Trends and geographic differentials in mortality under age 60 in India.

The study examines overall and region-specific mortality changes and regional mortality variation in India since the 1970s, using data from the Sample Registration System (SRS). An evaluation of the quality of SRS data confirms their reliability for children and adults under age 60. The results suggest the convergence of mortality across the regions of India with important inter-state differences in the pace of health improvements over time. After spectacular progress during the 1970s and the 1980s, many Indian states have witnessed slower mortality improvements in both young and adult age groups. India faces difficulties in making further reductions in infant mortality and in the burden of chronic and man-made diseases at adult ages.