Mediating role of social disengagement and loneliness in the nexus between functional health and mental well-being in older individuals.

Few studies have focused sufficiently on the intricate link between functional health and depression among older people aged 60 and above in India. Therefore, the current study investigates the association between functional health and depression among older Indian adults through the mediating role of social disengagement and loneliness and the moderating role of living arrangements using recent data from the Longitudinal Aging Study in India (LASI: 2017-2018). Composite International Diagnostic Interview-Short Form (CIDI-SF) for depression, the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) for functional health, and the indoor/outdoor activities, visits, and religious events for social disengagement were used. The feelings of loneliness and living arrangements were measured using single-item questions and surveys/interviews of household members. Bivariate analysis, logistic regression, and a Partial Least Squares-Structural Equation Model were adopted. The results show that older persons with functional health had 1.85 times higher odds of depression; similarly, those not engaging in social activities and experiencing loneliness were more likely to feel depressed. Living with someone was negatively linked to depression. A significant moderation by living arrangements in the functional health-depression relationship was also observed. The results also indicate significant mediating roles of social disengagement and loneliness, with 22.0% and 3.08% mediation effects, respectively. Therefore, this study recommends the provision of housing and social interaction among older people.

Through the eyes of grandparents: an in-depth exploration of the nexus between grandchild caring and the psychological well-being of older grandparents.

BACKGROUND: Grandchild caring has positive as well as negative impact on the grandparents' psychological well-being and the findings are varied by culture and country. METHODS: Present study was intended to understand the relationship between caring for grandchildren and psychological well-being of grandparents living in skipped (SGH) and multi-generational households (MGH) in Indian demographical context. The present research involved In-depth Interviews (IDI) focusing on grandparents above 60 and grandchildren below 18, where the elder played a crucial role in caregiving. The study area was Malda, a district of West Bengal in India. Purposively 24 IDIs were selected. Psychological well-being was measured using open-ended questions. Thematic and content analyses were adopted to understand the perspective of grandparents. RESULTS: Most of the grandparents from SGH reported depression word frequently, while grandparents from MGH reported happy. In the content analysis, grandparents from SGH expressed tension, mental turmoil, and worry about grandchild's future. On the contrary, grandparents from MGH expressed happy, companionship, and worry about grandchild's future. Further, full time caring, compulsive reason behind grandchild caring, and working status were linked with living in SGH and grandchild caring, which were in turn connected with deteriorate psychological health. However, in MGH, a different scenario was observed, most grandparents were partially and non-compulsively engaged in grandchild caring and had expressed positive mental health. CONCLUSIONS: The Findings provide an intervention implication, particularly in the context of India's ageing population and their well-being by acknowledging the influence of household structure, caring intensity, motive behind grandchild caring, and working status on their psychological health. Understanding the importance of these key factors may help the policy maker and the individual to incorporate the most effective intervention to achieve sustainable development goal 3 and healthy ageing.

Prevalence of anaemia among married women with recent birth history and high-risk fertility behaviour: secondary data analysis of the National Family Health Survey-India (2019-21).

OBJECTIVES: To describe the prevalence of anaemia among currently married women with high-risk fertility behaviour (HRFB) based on age, parity and birth spacing indicators. DESIGN: Cross-sectional study. SETTINGS AND PARTICIPANTS: Fifth round of the National Family Health Survey (NFHS) was conducted in India (2019-2021) and included a nationally representative sample of 724, 115 women in the reproductive age group (15-49). Our analysis focused exclusively on married women who had given birth in the preceding 5 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The prevalence of anaemia with HRFB was the primary outcome, and the likelihood of having anaemia due to HRFB was the secondary outcome. DATA AND METHODS: Secondary data analysis of the NFHS-5 (2019-2021) datasets was done using a weighted analysis to determine anaemia prevalence in different HRFB categories. Bivariate analysis was done using the χ2 test, and multiple binary logistic regression analyses were done to estimate the odds of having anaemia due to HRFB after adjusting for known confounders. A p value <0.05 was reported as statistically significant. RESULTS: The final analysis comprised 145,468 women, of whom 59.1% had anaemia. About 53.1% of women depicted 'No risk' fertility behaviour, and 34.6% and 12.3% had single and multiple HRFB. Women with 'no-risk,' single and multiple HRFB had anaemia prevalence rates of 58.1%, 59.4% and 63.1%, respectively. Women with 'Single risk' had an 18% higher likelihood (1.18; 1.13-1.22) of having anaemia after controlling for confounding variables, compared with the HRFB category with 'No risk.' Women with 'Multiple risks' showed a 6% higher likelihood (adjusted OR 1.06; 95% CI 1.03 to 1.08). CONCLUSIONS: Anaemia remains a prevalent issue in India, and HRFB is observed as a significant contributing factor. This vulnerable group can be targeted through multiple interventions and further our efforts to realise our anaemia-related goals.

Gender-specific determinants of overweight and obesity among older adults in India: evidence from a cross-sectional survey, 2017-18.

BACKGROUND: A major societal trend of the twenty-first century is the rapidly ageing population as a consequence of the decline in fertility and increase in life expectancy. Along with the rise in ageing population, the burden of obesity and related non-communicable diseases is also equally rising. In this study, we aimed to investigate the potential gender-specific determinants of overweight and obesity among older adults in India. SUBJECTS AND METHODS: The present study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 25,952 older adults (≥ 60 years) was selected for the study. Descriptive statistics, bivariate chi-square test, and logistic regression estimation were applied to accomplish the study objectives. Body mass index (BMI) has been classified in this study according to the WHO criteria. RESULTS: The prevalence of overweight was higher among women (18.15% in rural areas and 46.62% in urban areas) compared to men (12.9% in rural areas and 30.61% in urban areas). Similarly, obesity was higher among women than men who were residing in urban areas (17.07% vs. 5.37%), had secondary or above education (32.38% vs. 6.1%) belonged to richest strata (16.37% vs. 4.50%), or had mobility impairment (9.2% vs. 2.8%). Despite adjustment for several confounders, women were more likely to be overweight (OR: 2.18; CI: 1.86, 2.55) and obese (OR: 3.79; CI: 2.86, 5.03) than men. However, among both the elderly men and women, those who were highly educated were 2.29 times (OR: 2.29; CI: 1.80, 4.11) and 2.71 times (OR: 2.71; CI: 1.78, 4.11), respectively more likely to be overweight than their illiterate counterparts. Older adults living in urban areas were more likely to suffer from obesity compared to rural men (OR: 1.47; CI: 1.07, 2.02) and women (OR: 2.58; CI: 1.85, 3.60). Both men and women, who were highly educated were 2.64 times (OR: 2.64; CI: 1.71, 4.09) and 2.94 times (OR: 2.94; CI: 1.40, 6.20), respectively, more likely to be obese than their illiterate counterparts. Older men and women who were richest (OR: 1.60; CI: 1.19, 2.14 & OR: 2.12; CI: 1.63,2.76), or had mobility impairment (OR: 1.33; CI: 1.09,1.61 & OR: 1.72; CI: 1.42,2.08) were more likely to be overweight than their counterparts who were poorest or did not have any mobility limitation, respectively. CONCLUSIONS: This study found increased vulnerability of overweight and obesity among older women than men irrespective of their socioeconomic, demographic, and health status. The present study suggests that introducing preventative measures such as campaigns to encourage physical activity, and community awareness may help reduce the high burden of overweight and obesity. Finally, the findings are important for better functioning of any public health programme and suitable intervention techniques to maintain a healthy body in order to lower the prevalence and risk factors of non-communicable diseases in later life.

Socio-demographic and behavioral correlates of excess weight and its health consequences among older adults in India: Evidence from a cross-sectional study, 2017-18.

BACKGROUND: Rapid population aging is expected to become one of the major demographic transitions in the twenty-first century due to the continued decline in fertility and rise in life expectancy. Such a rise in the aged population is associated with increasing non-communicable diseases. India has suffered from obesity epidemic, with morbid obesity affecting 5% of the population and continuing an upward trend in other developing countries. This study estimates the prevalence of excess weight among older adults in India, and examines the socio-demographic and behavioral factors and its health consequences. METHODS: The study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 25,952 older adults (≥ 60 years) was selected for the study. Descriptive statistics, bivariate Chi-Square test, and logistic regression models were applied to accomplish the study objectives. Body mass index (BMI) has been computed for the study according to the classification of the World Health Organization, and "excess weight" refers to a score of BMI ≥ 25.0 kg/m2. RESULTS: Overall, 23% of older adults (≥ 60 years) were estimated with excess weight in India, which was higher among women irrespective of socioeconomic and health conditions. The higher levels of excess weight (than the national average of ≥22.7%) were observed among older adults in states like Haryana, Tamil Nadu, Telangana, Maharashtra, Gujarat, Manipur, Goa, Kerala, Karnataka, Himachal Pradesh, Punjab, Sikkim and some other states. After adjusting for selected covariates, the odds of excess weight were higher among females than males [OR: 2.21, 95% CI: 1.89, 2.60]. Similarly, the likelihood of excess weight was 2.18 times higher among older adults who were living in urban areas compared to their rural counterparts [OR: 2.18; 95% CI: 1.90, 2.49]. Higher level of education is significantly positively correlated with excess weight. Similarly, higher household wealth index was significantly positively correlated with excess weight [OR: 1.98, CI: 1.62, 2.41]. Having hypertension, diabetes and heart diseases were associated with excess weight among older adults. Regional variations were also observed in the prevalence of excess weight among older adults. CONCLUSION: The findings suggest that introducing measures that help to reduce the risk of non-communicable diseases, and campaigns to encourage physical activity, and community awareness may help reduce the high burden of excess weight and obesity among older Indians. The findings are important for identifying the at-risk sub-populations and for the better functioning of any public health programme and suitable intervention techniques to lower the prevalence and risk factors for excess weight in later life.

Association between natural hazards and postnatal care among the neonates in India: a step towards full coverage using geospatial approach.

BACKGROUND: Postnatal care is crucial to prevent the child mortality. Despite the improvement in the PNC coverage for the neonates, it is still far away from the universal health coverage. Along with, some specific regions mostly are natural hazard prone areas of India show very under coverage of PNC for the neonates. Considering the substantial spatial variation of PNC coverage and natural hazard prevalence, present study aimed to examine spatial variation of PNC coverage and its association with natural hazard at the district level. METHODS: The cross-sectional exploratory study utilized National Family Health Survey, 2019-21, which included 1,76,843 children using multistage stratified sampling method to examine postnatal care within 42 days for neonates born within five years prior to the survey. Additionally, the study utilized Vulnerability Atlas of India,2019 maps to categorize regions into hazardous (flood, earthquake, and landslide) and non-hazardous areas. Spatial univariate and bivariate analyses, logistic and geographically weighted regressions were conducted using ArcGIS Pro, GeoDa, and Stata 16.0 software to identify associations between PNC coverage, hazard exposure, and spatial variation. RESULTS: The univariate spatial analysis showed some specific regions such as north, east, and north-east region of India had a high concentration of natural hazard and low access of PNC coverage. Bivariate analysis also showed that PNC coverage was low in flood (75.9%), earthquake (68.3%), and landslide (80.6%) effected areas. Compared to the national PNC coverage (81.1%), all these natural hazards effected areas showed low coverage. Further, logic regression showed that these hazard prone areas were less (OR:0.85 for flood, 0.77 for earthquake, and 0.77 for landslide) likely to get PNC coverage than their counterparts. LISA cluster maps significantly showed low PNC and high disaster concentration in these disaster-prone areas. Geographic weighted regression results also showed similar result. CONCLUSIONS: The present study elucidates notable heterogeneity in the coverage of postnatal care (PNC) services, with lower concentrations observed in disaster-prone areas. In order to enhance the accessibility and quality of PNC services in these areas, targeted interventions such as the deployment of mobile health services and fortification of health systems are recommended.

Epidemiology of type 2 diabetes mellitus and treatment utilization patterns among the elderly from the first wave of Longitudinal Aging study in India (2017-18)using a Heckman selection model.

INTRODUCTION: Unmanaged Type 2 diabetes mellitus (T2DM) substantially contributes to the multi-morbidity of the elderly. Fewer research has concentrated on understanding the determinants of treatment utilization among older people, with even lesser concerns about missing data in outcome variables leading to biased estimates. The present study intends to evaluate the epidemiology of T2DM in the elderly in India and explore the socioeconomic and behavioral risk factors determining the treatment utilization among the elderly > 60 years in India by addressing the missing data to generate robust estimates. METHODS: The secondary analysis used data from the Longitudinal Ageing Study in India. The key dependent variables were the presence or absence of T2DM and treatment utilization. Descriptive statistics were used to understand the differences in the prevalence of diabetes and the utilization of treatment across various socio-demographic characteristics. Heckman's statistical technique evaluated the predictors of T2DM and treatment utilization. Analysis was done using STATA software version 14.0. RESULTS: Almost 14% elderly reported to be living with T2DM. The odds of living with T2DM increased with non-working status, a sedentary lifestyle, and a higher BMI. A higher proportion of the elderly was on oral drugs than insulin and had been practicing lifestyle modifications to control their disease. The probability of developing T2DM was lower among females than males, but females had better odds for treatment utilization of health medication than males. Lastly, treatment utilization was significantly affected by socio-demographic characteristics like education and monthly per capita expenditure. CONCLUSIONS: Treatment utilization by the elderly living with T2DM is significantly affected by socio-demographic characteristics. Keeping in mind the increasing proportion of the geriatric population in our country, it is pertinent to tailor-made counseling sessions for the elderly to improve medication utilization and adherence and realize our goals concerning non-communicable diseases.

Differentials in private and public healthcare service utilization in later life: do gender and marital status have any association?

The present study investigates whether the differentials in private and public inpatient healthcare utilization are associated with marital status for men and women aged 60 years and above in India. Binary logistic regression was applied to examine the association of private and public inpatient healthcare utilization with the marital status of the elderly. The study found that widowed men and women generally used public healthcare for hospitalization, while married men and women preferred private healthcare. Our findings also indicated that private inpatient health services expenditure was higher for married elderly than widowed elderly. After controlling all covariates, widowhood was significantly associated with higher use of public healthcare services for women but not for men. India's current health care policy and program may be required to focus on improving the infrastructure quality of current public healthcare systems. It also needs to be favorable for vulnerable sections of society, especially widowed women, to avail better treatment at an affordable cost.

Exposure to indoor air pollution and the cognitive functioning of elderly rural women: a cross-sectional study using LASI data, India.

BACKGROUND: The majority of people in rural developing counties still rely on unclean and solid fuels for cooking, putting their health at risk. Adult and elderly women are most vulnerable due to prolonged exposure in cooking areas, and Indoor Air Pollution (IAP) may negatively impact their health and cognitive function. This study examines the effect of IAP on the cognitive function of middle-aged and elderly rural women in India. METHODS: The study utilized the data from the Longitudinal Ageing Study in India (LASI 2017-18, Wave-1). Bivariate analysis and multilevel linear regression models were applied to show the association between IAP and the cognitive abilities of rural women and results from regression were presented by beta coefficient (ß) with 95% confidence interval (CI). Confounding factors such as age, education, health risk behaviours, marital status, monthly per capita consumption expenditure (MPCE), religion etc. were adjusted in the final model. RESULTS: The study found that 18.71 percent of the rural women (n = 3,740) lived in Indoor Air Pollution exposed households. IAP was significantly found to be associated with the cognitive functional abilities among the middle and older aged rural women. Middle and older aged rural women exposed to IAP had lower cognitive functional abilities than non-exposed women. Comparing to the non-exposed group, the cognitive score was worse for those exposed to IAP in both the unadjusted (ß = -1.96; 95%CI: -2.22 to -1.71) and the adjusted (ß = -0.72; 95%CI: -0.92 to -0.51) models. Elderly rural women from lower socioeconomic backgrounds were more likely to have cognitive impairment as a result of IAP. CONCLUSION: Findings revealed that IAP from solid fuels could significantly affect the cognitive health of elderly rural women in India, indicating the need for immediate intervention efforts to reduce the use of solid fuels, IAP and associated health problems.