Assessing groundwater quality and its association with child undernutrition in India.

BACKGROUND AND OBJECTIVES: Groundwater contamination poses a significant health challenge in India, particularly impacting children. Despite its importance, limited research has explored the nexus between groundwater quality and child nutrition outcomes. This study addresses this gap, examining the association between groundwater quality and child undernutrition, offering pertinent insights for policymakers. DATA AND METHODS: The study uses data from the fifth round of the National Family Health Survey (NFHS) and the Central Groundwater Board (CGWB) to analyze the association between groundwater quality and child nutritional status. The groundwater quality data were collected by nationwide monitoring stations programmed by CGWB, and the child undernutrition data were obtained from the NFHS-5, 2019-21. The analysis included descriptive and logistic regression model. The study also considers various demographic and socio-economic factors as potential moderators of the relationship between groundwater quality and child undernutrition. FINDINGS: Significant variation in groundwater quality was observed across India, with numerous regions displaying poor performance. Approximately 26.53 % of geographical areas were deemed unfit for consuming groundwater. Environmental factors such as high temperatures, low precipitation, and arid, alluvial, laterite-type soils are linked to poorer groundwater quality. Unfit-for-consumption groundwater quality increased the odds of undernutrition, revealing a 35 %, 38 %, and 11 % higher likelihood of stunting, underweight, and wasting in children, with higher pH, Magnesium, Sulphate, Nitrate, Total Dissolved Solids, and Arsenic, levels associated with increased odds of stunting, underweight, and wasting. Higher temperatures (>25 °C), high elevations (>1000 m), and proximity to cultivated or industrial areas all contribute to heightened risks of child undernutrition. Children consuming groundwater, lacking access to improved toilets, or living in rural areas are more likely to be undernourished, while females, higher-income households, and those consuming dairy, vegetables, and fruits daily exhibit lower odds of undernutrition. POLICY IMPLICATIONS: Policy implications highlight the urgent need for investment in piped water supply systems. Additionally, focused efforts are required to monitor and improve groundwater quality in regions with poor water quality. Policies should emphasize safe sanitation practices and enhance public awareness about the critical role of safe drinking water in improving child health.

Indoor air pollution and cognitive function among older adults in India: a multiple mediation approach through depression and sleep disorders.

BACKGROUND: Studies across multiple countries reveal that depression and sleep disorders can lead to cognitive decline. This study aims to speculate on the effect of different sources of indoor air pollution on cognition and to explore the mediation effect of depression and sleep disorders on cognition when exposed to indoor air pollution. We hypothesize that an older adult experiences higher cognitive decline from indoor pollution when mediated by depression and sleep disorders. METHODS: We use data from Longitudinal Aging Study in India (LASI), 2017-2018, and employ a multiple mediation model to understand the relationship between indoor air pollution and cognition through sleep disorders and depression while adjusting for possible confounders. Sensitivity analysis was applied to see the effect of different sources of indoor pollution (cooking fuel, indoor smoke products, and secondhand smoke) on cognitive performance. RESULTS: The effect of three sources of indoor pollutants on cognition increased when combined, indicating stronger cognitive decline. Unclean cooking practices, indoor smoke (from incense sticks and mosquito coils), and secondhand smoke were strongly associated with sleep disorders and depression among older adults. Indoor air pollution was negatively associated with cognitive health (ß= -0.38) while positively associated with depression (ß= 0.18) and sleep disorders (ß= 0.038) acting as mediators. Sensitivity analysis explained 45% variability while adjusting for confounders. CONCLUSION: The study lays a foundation for future investigations into the nexus of indoor pollution and mental health. It is essential to formulate policies to reduce exposure to varying sources of indoor air pollutants and improve screening for mental health services as a public health priority.

Assessment of nutritional status using anthropometric index among older adult and elderly population in India.

Malnutrition poses a significant risk to the older population globally, highlighting the critical role of nutrition in healthy aging. In this study, the aim is to estimate the prevalence of malnutrition among older adults aged 45-59 years and the elderly population aged 60 years and above based on their socioeconomic and demographic characteristics. Furthermore, the study examines the risk factors within a multivariate framework. A sample of 59,073 individuals aged 45 years and above from the Longitudinal Aging Study in India (LASI), Wave 1 survey constitutes the study population. This study adopts a cross-sectional design. Bivariate cross-tabulation analysis and multivariate logistic regression analysis are employed to understand the prevalence and determinants of nutritional status. About 25% of males and 37% of females below the age of 60 years are overweight (including obese), while among those aged 60 years and above, 28% of males and 25% of females are underweight. The elderly male population carries a comparatively higher burden of underweight (28%) prevalence than the females (25%) in the same age group. Overall, the urban population is less likely to be underweight [AOR: 0.41, C.I 0.38-0.43] and more likely to be overweight [AOR: 2.41, C.I 2.32-2.52]. Older adults from low economic and social strata are more likely to be underweight. In terms of bio-physical factors, individuals aged 60 years and above with infections to endemic diseases [AOR: 1.24; p-value < 0.01] and those with edentulism [AOR: 1.29; p-value < 0.01] are more likely to be underweight. As evident from the study, nutritional status among older adults is a complicated manifestation of multiple risk factors and requires potential nutritional intervention. Initiating a routine screening program at the grassroots level can effectively identify older adults and the elderly in India, facilitating the provision of nutritional care.

Risk of cataract and glaucoma among older persons with diabetes in India: a cross-sectional study based on LASI, Wave-1.

According to the International Diabetes Federation-2019 estimates, India is home to 77 million diabetic individuals which is projected to grow up to 147.2 million by 2045. Diabetes being a progressive health disorder leads to multiple morbidities and complications including eye diseases and visual impairments. As the burden of diabetes mellitus is increasing, eye problems like cataracts and glaucoma are commonly cited problems among the older adults. In this context, this study aims to provide the public health evidences on diabetes associated burden and risk of developing cataracts and glaucoma among older adults aged 60 and above in India. The analytical sample of this cross-sectional study comprised of 31,464 individuals aged 60 and above. Bivariate cross-tabulation and chi-square test were performed to understand the differential in the prevalence of cataracts and glaucoma by diabetes mellitus including the socio-economic and demographic characteristics of the individuals. Binary logistic regression estimation was executed to estimate the adjusted odds ratio for each of the outcome variables within a multivariate framework. The cataract problem affects more than one-fifth of the older people, while glaucoma affects 2% of them. The prevalence of cataract and glaucoma is 29% among diabetic older adults compared to 22% among non-diabetic persons. In terms of gender, the cataract prevalence is comparatively higher among females (25%) than males (21%). It is important to note that while adjusting for socio-economic and demographic characteristics, the likelihood of cataract (AOR 1.495; p-value < 0.01) and glaucoma (AOR 1.554; p-value < 0.01) is significantly higher among older adults with diabetes than among their counterparts. Medical practitioners should conduct prognosis for diabetic eye problems among patients and raise awareness about the potential risks of developing vision loss, such as cataracts and glaucoma, which are more prevalent among individuals with diabetes.

The risk of experiencing depression among older adults in India: A cross-sectional study.

Background: The comorbidity of diabetes and depression poses a major challenge to older adults. While a few small scale studies have investigated the diabetes associated risk of experiencing depression, there is no national-level study available for India on the same. In this context, this study estimates the burden and risk of depression due to diabetes among older adults aged 45 and above in India while adjusting for socio-economic and demographic characteristics of the individuals. Methods: Longitudinal Ageing Study in India (LASI), 2017-2018 wave 1 data was utilised in this study. The prevalence of depression and diabetes were estimated by background characteristics using bivariate cross-tabulation. In addition, multivariate logistic regression was applied to examine the likelihood of depression associated with diabetes and other covariates. Result: Empirical estimation demonstrated that 14% of males and 8% of females with diabetes suffer from depression in the 45-59 age group. A diabetic person aged 45 and above was 16% more likely to suffer from depression than a non-diabetic person; whereas, a diabetic elderly aged 60 and above was 24% more likely to experience depression than their non-diabetic counterparts. The multivariate analysis confirmed a highly statistically significant association between diabetes and depression indicating a substantial risk to experience depression among those older adults and elderly who suffer from diabetes. Conclusion: Elderly population (60 +) is at higher risk of experiencing depression due to diabetes. Therefore, public health care awareness should be raised, particularly among endocrinologists or specialist doctors who provide treatment at the tertiary-care hospitals in India. The health care experts should refer/recommend the diabetic patients to screen for depressive symptoms. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01185-6.

Risk of multiple lower and upper urinary tract problems among male older adults with type-2 diabetes: a population-based study.

AIM: This study explores the risk of diabetes-associated lower and upper urinary tract diseases among male older adults aged 45 and above in India. METHODS: Longitudinal Ageing Study in India (LASI), 2017-2018 data was used in this study. The prevalence of various urinary tract problems and diabetes among male older adults was estimated by background characteristics using bivariate cross-tabulation. In addition, multivariate logistic regression was applied to examine the likelihood of urological disorders associated with diabetes. RESULT: The prevalence of incontinence was highest among male older adults with diabetes, followed by kidney stones, benign prostatic hyperplasia, and chronic renal failure. Multivariate logistic regression estimation showed that men diagnosed with diabetes were 80% more likely to experience chronic renal failure, 78% more likely to suffer from incontinence, and 37% more likely to suffer from kidney stones than those without diabetes when controlling for various socio-demographic, behavioral, and co-morbidity status of the older adults. CONCLUSIONS: The study findings suggest that diabetes is associated with multiple urinary complications among male older adults in India and needs more careful investigation of the phenomenon. Independent risk factors such as changes in lifestyle with regular monitoring and diagnosis may help to prevent the progression of diabetes and reduce the risk of diabetes-associated lower and upper urinary tract diseases among male older adults.

Spatial shifting of COVID-19 clusters and disease association with environmental parameters in India: A time series analysis.

BACKGROUND: The viability and virulence of COVID-19 are complex in nature. Although the relationship between environmental parameters and COVID-19 is well studied across the globe, in India, such studies are limited. This research aims to explore long-term exposure to weather conditions and the role of air pollution on the infection spread and mortality due to COVID-19 in India. METHOD: District-level COVID-19 data from April 26, 2020 to July 10, 2021 was used for the study. Environmental determinants such as land surface temperature, relative humidity (RH), Sulphur dioxide (SO2), Nitrogen dioxide (NO2), Ozone (O3), and Aerosol Optical Depth (AOD) were considered for analysis. The bivariate spatial association was used to explore the spatial relationship between Case Fatality Rate (CFR) and these environmental factors. Further, the Bayesian multivariate linear regression model was applied to observe the association between environmental factors and the CFR of COVID-19. RESULTS: Spatial shifting of COVID-19 cases from Western to Southern and then Eastern parts of India were well observed. The infection rate was highly concentrated in most of the Western and Southern regions of India, while the CFR shows more concentration in Northern India along with Maharashtra. Four main spatial clusters of infection were recognized during the study period. The time-series analysis indicates significantly more CFR with higher AOD, O3, and NO2 in India. CONCLUSIONS: COVID-19 is highly associated with environmental parameters and air pollution in India. The study provides evidence to warrant consideration of environmental parameters in health models to mediate potential solutions. Cleaner air is a must to mitigate COVID-19.

Age, gender and socioeconomic patterns of awareness and usage of e-cigarettes across selected WHO region countries: evidence from the Global Adult Tobacco Survey.

OBJECTIVES: The study explores the awareness and e-cigarette use by demographic and socio-economic characteristics of selected 14 Global Adult Tobacco Survey (GATS) countries. DESIGN: Cross-sectional. SETTING: 14 countries. PARTICIPANTS: Surveyed population ≥15 years selected through multi-stage cluster sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: We selected 14 countries from 6 different WHO regions where GATS was conducted in different years during 2011-2017. RESULTS: Awareness and usage of e-cigarette were highest in Greece and lowest in India. Females were less aware of e-cigarette across ages. The gender gap in awareness is wide in Greece post 50 years of age, while the gap is distinct in early ages in Kazakhstan and Qatar. The gender difference in use of e-cigarette was negligible in most of the countries except among the younger cohorts of Russia, Philippines Malaysia and Indonesia. Relatively higher prevalence of e-cigarette smoking among females in the older adult age was observed in some of the Asian countries like India. Multivariate analysis indicates that those who were younger, male, residing in urban areas, current tobacco smokers were more likely to use e-cigarette than their counterparts. Though prevalence of e-cigarette use increased with wealth and education, such pattern is not strong and consistent. Promotional advertisement plays important role in higher use of e-cigaratte. The predicted national prevalence of e-ciragette use was highest in Malaysia . CONCLUSIONS: E-cigarette use is more among urban adults, current smokers, males and in countries with promotional advertisement of e-cigarette. Area specific interventions are needed to understand the nature of e-cigarette use. Russia, Ukraine, Costa Rica and Mexico need better understanding to explore whether e-cigaratte use is an indulgence to new mode of addiction, as youth being highly likely to adopt this practice.

An analytical pathway of consumption expenditure with neighborhood deprivation and depression on cognitive health among elderly in India: A moderated mediation approach.

BACKGROUND: This study aims to find the linkage between neighborhood deprivation and cognition with depression as a mediating factor while economic condition as a moderator. METHODS: We have used the recent baseline wave-1 data of Longitudinal Aging Study in India (LASI), 2017-2018. The study was restricted to 60 and above population, consisting of males (14,931) and females (16,533). We have used moderated mediating model to understand the relationship between deprivation (X), cognition (Y) mediated through depression (M), moderated by economic condition (W), while controlling all possible confounders. RESULTS: Neighborhood deprivation was positively associated with depression (ß: 0.12; SE: 0.01) and inversely linked to cognition (ß: -0.4; SE: 0.02). Deprivation had a strong indirect effect on cognition that was mediated by depression. Further, interaction of depression (M) and economic condition (W) was negatively associated (ß = -0.03; SE: 0.01) with cognition (Y), indicating that lower economic section being more depressed with lower cognitive function. LIMITATIONS: The study failed to capture other mental health aspects like stress and anxiety using the Depression, Anxiety and Stress Scale-21 items (DASS-21). CONCLUSIONS: This study has found a link between higher economic condition with low deprivation and depression. Older individuals with better financial situation have improved cognitive level than their counterparts, who are also depressed. This study provides an opportunity to conduct future research on cognitive health in the face of population aging in India.

Feeling about living arrangements and associated health outcomes among older adults in India: a cross-sectional study.

INTRODUCTION: Advancement in the field of gerontology has been concerned with the well-being of older adults in a family setup that is associated with caregiving and support. While family life and well-being are defined by emotion, caregiving, and support activities, dissatisfaction/discontent with living arrangements is a public health concern, which is increasing with a rise in the proportion of the older population in the country. The study examines the association of dissatisfaction with living arrangements with health outcomes among older men and women in India. METHODS: The present research used data from the 'Building a Knowledge Base on Population Aging in India'. The effective sample size for the analysis was 9181 older adults. Descriptive statistics and bivariate analysis were performed to present the preliminary estimates. For finding the association between various health outcomes over explanatory variables, binary logistic regression model was used separately for men and women. RESULTS: About 22.8% of men and 30.8% of women who were living alone were dissatisfied with their present living arrangement. It was revealed that both men and women who were dissatisfied with their present living arrangements had significantly higher odds of experiencing poor self-rated health [OR:4.45, 3.25 ~ 6.09 and OR:3.32, 2.54 ~ 4.34], low psychological health [OR: 2.15, 1.61 ~ 2.86 and OR: 1.99, 1.57 ~ 2.53], low subjective well-being [OR: 3.37, 2.54 ~ 4.45 and OR: 3.03, 2.36 ~ 3.38], low ADL [OR: 1.77, 1.2 ~ 2.62 and OR: 1.59, 1.17 ~ 2.18, low IADL] [OR: 1.32, 1.03 ~ 1.69 and OR: 1.57, 1.24 ~ 1.98] and low cognitive ability [OR: 1.26, 0.98 ~ 1.61 and OR:1.44, 1.13 ~ 1.82] in comparison to their counterpart from men and women respectively. CONCLUSION: It is found that dissatisfaction with the living arrangement of older men and women is negatively associated with major health outcomes. Hence, appropriate policies and programs must be developed to promote increased family care and support and an improved residential environment that would create a feeling of comfort and happiness among older individuals.

Association Between Air Pollution and COVID-19 Pandemic: An Investigation in Mumbai, India.

Spatial hot spots of COVID-19 infections and fatalities are observed at places exposed to high levels of air pollution across many countries. This study empirically investigates the relationship between exposure to air pollutants that is, sulfur dioxide, nitrogen dioxide, and particulate matter (SO2, NO2, and PM10) and COVID-19 infection at the smallest administrative level (ward) of Mumbai City in India. The paper explores two hypotheses: COVID-19 infection is associated with air pollution; the pollutants act as determinants of COVID-19 deaths. Kriging is used to assess the spatial variations of air quality using pollution data, while information on COVID-19 are retrieved from the database of Mumbai municipality. Annual average of PM10 in Mumbai over the past 3 years is much higher than the WHO specified standard across all wards; further, suburbs are more exposed to SO2, and NO2 pollution. Bivariate local indicator of spatial autocorrelation finds significant positive relation between pollution and COVID-19 infected cases in certain suburban wards. Spatial Auto Regressive models suggest that COVID-19 death in Mumbai is distinctly associated with higher exposure to NO2, population density and number of waste water drains. If specific pollutants along with other factors play considerable role in COVID-19 infection, it has strong implications for any mitigation strategy development with an objective to curtail the spreading of the respiratory disease. These findings, first of its kind in India, could prove to be significant pointers toward disease alleviation and better urban living.

A true face of Indian married couples: Effect of age and education on control over own sexuality and sexual violence.

INTRODUCTION: Though there are several interventions evaluated over the past 25 years, significant knowledge gaps continue to exist regarding the effective prevention of sexual violence. This study explored the socio-economic and context-specific distinctive characteristics of husbands and wives on sexual autonomy and unwanted sexual experiences of currently married women in India. METHODOLOGY: We have utilized the recent round of National Family Health Survey (NFHS-4, 2015-16) data for this exploration. The NFHS-4 survey had adopted a stratified two-stage sample design to reach out to the survey households. A total of 63,696 couples are included in the analysis comprising of women of 15-49 years age and men of 15-54 years age. Multivariate techniques have been applied to understand the adjusted effects of socio-economic and demographic variables on control over their sexuality and sexual violence. RESULTS: Uneducated women married to uneducated men experienced more sexual violence and had less control over their sexuality than the other categories. The adjusted multivariate logistic model shows that educated husbands were significantly more likely to exercise control over their educated wives' sexuality (AOR = 0.88; CI:0.78-0.99). Women having older husbands were significantly less likely to be having no-control over own sexuality (AOR = 0.89; CI:0.83-0.95) and experienced sexual violence (AOR = 0.81; CI:0.70-0.95). Women having comparatively more-educated husbands were significantly less likely to experience sexual violence (AOR = 0.62; CI:0.47-0.81). Muslim women were significantly more likely to have no control overown sexuality. SC/ST women were significantly more likely to experience sexual violence (28%). CONCLUSIONS: This study highlights the factors associated with control over one's sexuality and preponderance to sexual violence: age, education, spouse working status, wealth status, husband's alcohol consumption, women autonomy, decision-making, and freedom for mobility. This study suggests that empowering women with education, creating awareness regarding reproductive health, and addressing their socio-economic needs to help them achieve autonomy and derive decision-making power.

Spatial modeling of child malnutrition attributable to drought in India.

OBJECTIVES: Indian agriculture is mostly dependent on monsoon. Poor and irregular rainfall may result in crop failure and food shortage among the vulnerable population. This study examined the variations in drought condition and its association with under age 5 child malnutrition across the districts of India. METHODS: Using remote sensing and National Family Health Survey (NFHS-4) data, univariate Moran's I and bivariate local indicator of spatial autocorrelation (LISA) maps were generated to assess the spatial autocorrelation and clustering. To empirically check the association, we applied multivariate ordinary least square and spatial autoregressive models. RESULTS: The study identified highly significant spatial dependence of drought followed by underweight, stunting, and wasting. Bivariate LISA maps showed negative spatial autocorrelation between drought and child malnutrition. Regression results suggest agricultural drought is substantially associated with stunting. An increasing value of drought showed statistical association with the decreasing (ß = - 8.251; p value < 0.05) prevalence rate of child stunting across India. CONCLUSIONS: This study provides evidence of child undernutrition attributable to drought condition, which will further improve the knowledge of human vulnerability and adaptability in the climatic context.