Association of perceived childhood socio-economic status and health with depressive symptoms among middle-aged and older adults in India: using data from LASI Wave I, 2017-2018.

BACKGROUND: Childhood adverse experience has been linked with poor health outcomes across the life course. Nevertheless, whether such an association or direction could be projected to older people's life remains still unclear and needs to generate more evidence, particularly in India. Therefore, this study was conducted to examine the association of childhood socio-economic status and health with depressive symptoms amongst middle- aged and older adults in India. METHODS: The data for the study was drawn from national representative survey "Longitudinal Ageing Study in India (LASI)" Wave I, 2017-2018 in order to conduct cross-sectional study. Multivariable regression analysis was used to examine the association of childhood socioeconomic status and health with depressive symptoms in the older population. RESULTS: Poor childhood health was significantly and positively associated with depressive symptoms (AoR: 1.56, CI: 1.19, 2.04). Likewise, respondents who were bedridden for a month during their childhood had high odds of developing depressive symptoms (AoR: 1.16 CI: 1.01, 1.34). In addition to this, the odds of having depressive symptoms increased significantly among the average (AoR: 1.28 CI: 1.08, 1.51) and poor childhood socioeconomic status group (AoR: 1.31 CI: 1.11, 1.55) as compared to the higher socioeconomic category. CONCLUSIONS: Childhood socioeconomic status and health have a significant role in determining mental health in later life. Results suggest that considering childhood socioeconomic status and health is important while diagnosing depression in older population in order to identify the significant associated factors in early childhood and thus help in preventing depressive symptoms in later life.

Association between food insecurity and quality of life among older adults (60+) in six low and middle-income countries.

Food insecurity is a key social determinant of health and nutrition. However, very few studies have examined the association of food insecurity and quality of life outcomes among older adults in low and middle-income settings. In this study, we examine the association of food insecurity with self-rated poor quality of life, low life satisfaction, and WHO quality of life (WHOQol). Nationally representative data from WHO's Study on global AGEing and adult health (SAGE) consisting of 20,026 older adults were analyzed. The association of food insecurity with self-rated poor quality of life and low life satisfaction was assessed using bivariate and multivariate logistic regression analysis. Multivariate linear regression models examine the association between food insecurity and WHOQol score. Pooled data analysis of six countries showed older adults with severe food insecurity were two times more likely to report poor quality of life (OR = 2.49, CI 2.10, 2.96; p < 0.001) and low life satisfaction (OR = 2.36, CI 1.94, 2.87; p < 0.001), respectively. Similarly, older adults with severe food insecurity had 3.60 (CI-4.25, -2.95; p < 0.001) points lower WHO-QoL score than those who are food secure. These results show that the association of food insecurity is statistically significant with all three outcomes of quality of life in all six countries adjusting for sociodemographic and health measures. Public health and social security interventions are important to prevent food insecurity to promote overall wellbeing of the growing older population in low and middle-income countries.

Food insecurity and its association with health and well-being in middle-aged and older adults in India.

AIM: Food insecurity is a global public health concern; however, there is limited knowledge about its health impacts in India. We examined the associations of food insecurity with socioeconomic conditions, chronic disease and various domains of health and well-being in a community sample of middle-aged and older adults (45+ years) in India. METHODS: Cross-sectional nationally representative data were collected in wave 1 (2017-2018) of the Longitudinal Ageing Study in India. Food insecurity was measured by questions of access and availability of food. We used logistic regression analyses to examine associations of food insecurity with poor self-rated health, limitations in activities of daily living (ADLs), instrumental ADLs, low life satisfaction, depression, sleep problems and low body mass. RESULTS: Food insecurity related to all seven indicators of poor health and well-being, even after controlling for material wealth and the presence of multimorbidity (which food insecurity also predicted). Associations with mental health were stronger for those for physical health. For instance, food insecurity related to a threefold increase in probable depression (OR=2.9, 95% CI=2.4 to 3.4) and low life satisfaction (OR=3.4, 95% CI=2.9 to 3.8). CONCLUSIONS: Food insecurity is a powerful social determinant of poor health among older adults in India. Policy measures to improve population health and well-being should closely follow trends in food insecurity, particularly among those living in poverty and with multiple health conditions.

Socioeconomic differences in handgrip strength and its association with measures of intrinsic capacity among older adults in six middle-income countries.

Handgrip strength, a measure of muscular strength is a powerful predictor of declines in intrinsic capacity, functional abilities, the onset of morbidity and mortality among older adults. This study documents socioeconomic (SES) differences in handgrip strength among older adults aged 50 years and over in six middle-income countries and investigates the association of handgrip strength with measures of intrinsic capacity-a composite of all the physical and mental capacities of an individual. Secondary data analysis of cross-sectional population-based data from six countries from the WHO's Study on global AGEing and adult health (SAGE) Wave 1 were conducted. Three-level linear hierarchical models examine the association of demographic, socioeconomic status and multimorbidity variables with handgrip strength. Regression-based Relative Index of Inequality (RII) examines socioeconomic inequalities in handgrip strength; and multilevel linear and logistic hierarchical regression models document the association between handgrip strength and five domains of intrinsic capacity: locomotion, psychological, cognitive capacity, vitality and sensory. Wealth quintiles are positively associated with handgrip strength among men across all countries except South Africa while the differences by education were notable for China and India. Work and nutritional status are positively associated with handgrip strength. Our findings provide new evidence of robust association between handgrip strength and other measures of intrinsic capacity and confirms that handgrip strength is a single most important measure of capacity among older persons.

Association of life course socioeconomic status and adult height with cognitive functioning of older adults in India and China.

BACKGROUND: Cognitive functioning is an important measure of intrinsic capacity. In this study, we examine the association of life course socioeconomic status (SES) and height with cognitive functioning among older adults (50+) in India and China. The age pattern of cognitive functioning with measures of life course socioeconomic status has also been examined. METHODS: Cross-sectional comparative analysis was conducted using the WHO's Study on global AGEing and adult health (SAGE) data for India and China. Multilevel mixed-effect linear regression analysis was used to examine the association of life course socioeconomic status and adult height with cognitive functioning. RESULTS: In both India and China, parental education as a measure of childhood socioeconomic status was positively associated with cognitive functioning. The association between adult socioeconomic status and cognitive functioning was positive and significant. Height was significantly and positively associated with improved cognitive functioning of older adults in India and China. Furthermore, the age-related decline in cognitive functioning score was higher among older adults whose parents had no schooling, particularly in China. The cognitive functioning score with age was much lower among less-educated older adults than those with higher levels of education in China. Wealthier older adults in India had higher cognitive functioning in middle ages, however, wealth differences narrowed with age. CONCLUSIONS: The results of this study suggest a significant association of lifetime socioeconomic status and cumulative net nutrition on later-life cognitive functioning in middle-income settings.

Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India.

BACKGROUND: Underweight defined as body mass index (BMI) < 18.5 is associated with negative health and quality of life outcomes including mortality. Yet, little is known about the socioeconomic differentials in underweight and its association with health and well-being among older adults in India. This study examined the socioeconomic differentials in underweight among respondents aged ≥50 in India. Consequently, three outcomes of the association of underweight were studied. These are poor self-rated health, cognition and quality of life. METHODS: Cross-sectional data on 6,372 older adults derived from the first wave of the WHO's Study on global AGEing and adult health (SAGE), a nationally representative survey conducted in six states of India during 2007-8, were used. Bivariate and multivariate regression analyses were applied to fulfil the objectives. RESULTS: The overall prevalence of underweight was 38 percent in the study population. Further, socioeconomic status showed a significant and negative association with underweight. The association of underweight with poor self-rated health (OR = 1.60; p < .001), cognition (ß = -0.95; p < .001) and quality of life (ß = -1.90; p < .001) were remained statistically significant after adjusting for age, sex, place of residence, marital status, years of schooling, wealth quintile, sleep problems, chronic diseases, low back pain and state/province. CONCLUSION: The results indicated significant socioeconomic differentials in underweight and its association with poor self-rated health, cognition and quality of life outcomes. Interventions focussing on underweight older adults are important to enhance the overall wellbeing of the growing older population in India.

Age, socioeconomic patterns and regional variations in grip strength among older adults (50+) in India: Evidence from WHO's Study on Global Ageing and Adult Health (SAGE).

BACKGROUND: Muscle strength, measured as grip strength is a potential marker of bodily function and sarcopaenia. Yet, not much is known about its patterns and correlates among older population in India. This study assesses the age and socioeconomic patterns and state variations in grip strength among older adults (50+) in India. METHODS: A cross-sectional and nationally representative data from the first wave of WHO's Study on global Ageing and Adult Health (SAGE) -2007 (n = 6262) was used. Multivariable linear regression analyses were used to understand the regional variations and association of socioeconomic status and general health with grip strength, adjusting for anthropometric and demographic confounders. RESULTS: Socioeconomic status has a significant association with grip strength. Moreover, the association between wealth quintile and grip strength was highly significant. Further, the socioeconomic differences in grip strength narrowed in older ages, especially among men, supporting the convergence of health inequality hypothesis. Notable differences were observed in grip strength across selected states of India. Poor self-rated health was negatively associated with grip strength. Edentulism in men was associated with reduced grip strength. CONCLUSION: This study has contributed to a better understanding of significant social and regional inequalities in grip strength among older population in India. State-specific and subgroup level interventions are important to improve the physical functioning of the growing older population in India.