Demographic, socioconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India.

BACKGROUND: Recent research has revealed that today's older adults report more sleep problems than their predecessors, a trend compounded by expanding social stratification. As such, this study examined the demographic, socioeconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India. METHODS: The current study sample draws on data from 7118 respondents aged 50 years and over participating in the World Health Organization's Study on global AGEing and adult health (WHO-SAGE) wave-2 dataset. Sleep quality (good, moderate, and poor) and sleep duration (in hours and minutes) were self-reported. Adjusted multivariable logistic regression models were employed to examine the associations between sleep quality and sleep duration and several demographic, socioeconomic, and health indicators. RESULTS: A total of 12.84% and 36.1% of older adults reported long (> 8 h) and short (< 7 h) sleep, respectively. Older adults with primary education had lower odds of poor sleep [aOR: 0.85, CI: 0.73-0.99] than peers with no formal education. The odds of poor sleep were lower among those in higher wealth quintiles than those in the poorest quintile. Older adults with higher education had higher odds of short sleep [aOR: 1.36, CI: 1.06-1.74], and those with primary education had lower odds of long sleep [aOR: 0.70, CI: 0.54-0.91] than those without formal education (base category: age-appropriate sleep, i.e., 7-8 h). Older adults who were widowed had lower odds of both short [aOR: 0.82, CI: 0.68-0.98] and long sleep [aOR:0.74, CI: 0.58-0.95] compared to those who were currently married. Older individuals with adequate nutritional intake reported lower odds of short [aOR:0.59, CI: 0.49-0.72] and higher odds of long sleep [aOR:1.52, CI: 1.20-1.93] relative to their counterparts. Older adults who reported chronic conditions and body pain had higher odds of poor sleep and short sleep than their counterparts. CONCLUSIONS: We identified significant associations between several unmodifiable factors, including age, education, and marital status, and modifiable factors such as dietary intake, body pain, and pre-existing chronic ailments, and sleep quality and sleep duration. Our findings can assist health care providers and practitioners in developing a more holistic and empathic approach to care. Moreover, that several demographic, socioeconomic, and health-related factors are consequential for older adults' sleep health suggests that early detection through screening programs and community-based interventions is vital to improving sleep among older Indians who are most susceptible to sleep problems.

Separate and combined associations of cognitive impairment and body pain with functional and mobility disabilities among older women and men in India.

This study examined the separate and combined associations of cognitive impairment and body pain with functional and mobility disabilities (FMDs) among older women and men in India. Multivariable linear regression models were applied using data from the Longitudinal Aging Study in India (2017-18) comprising 31,464 adults aged 60+. Older adults with cognitive impairment and pain reported higher levels of FMDs than peers without any pain and cognitive impairment. The likelihood of FMDs was significantly greater among older Indians enduring both cognitive impairment and pain (p < 0.05). Moreover, the association between cognitive impairment and functional disability was noticeably stronger in older women, particularly those with frequent pain, while the link between cognitive impairment and mobility disability was more pronounced in men with pain. Integrated cognitive rehabilitation and pain management programs, along with guided physical therapy, gender-specific support groups, and community-based health promotion activities, should be considered to reduce FMDs in older Indians.

Subjective social status and socio-demographic correlates of perceived discrimination among older adults in India.

BACKGROUND: Considering India's diversity, marked by differences in caste, class, ethnicity, religion, region, and language, discrimination can take on varying forms across social-structural locations. We examined the association between subjective social status (SSS) and perceived discrimination, and assessed the sociodemographic correlates of perceived discrimination among older persons in India. METHODS: Data come from the 2017-18 wave 1 of the Longitudinal Aging Study in India (LASI) with a sample of 30,253 adults 60 years or older. SSS was examined using the Macarthur scale with a ladder technique. Perceived discrimination was evaluated with the Everyday Discrimination Scale. Multivariable logistic regression models examined the odds of reporting discrimination by its types and attributions. RESULTS: 39% of older adults reported low SSS, whereas 7.3% reported high SSS. Older adults with low SSS had significantly higher odds of experiencing some discrimination than those with high SSS. Compared to high-SSS peers, low-SSS individuals attributed age, gender, caste, financial, and health status as reasons for discrimination. Older women attributed gender as a reason for discrimination. Caste was reported as a reason for discrimination by rural but not urban dwellers. Relative to northerners, those from southern India reported age, financial, and health statuses as reasons for discrimination. CONCLUSIONS: That low-SSS older adults reported age, gender, caste, financial status, and health status as reasons for discrimination and that this association persisted after considering objective indicators of socioeconomic status (SES) is suggestive of SSS as independently consequential for perceived discrimination. These findings are useful for care providers and practitioners as they encourage older patients -- especially those with low SSS who may feel stigmatized -- to seek care, comply with care regimen, and engage in behaviors that protect and promote health.

Natural and human-made disaster and associated health outcomes among community-dwelling older adults in India: Findings from LASI, 2017-18.

BACKGROUND: Droughts, flash floods, rail accidents, and riots are relatively regular occurrences for those living in many low- and middle-income countries like India. While such natural and human-made disasters put everyone in harm's way, their toll on specific segments of society-like older adults-is the heaviest. Therefore, in this study, we examine (1) the prevalence of natural and human-made disasters in India and (2) the association between natural and human-made disasters and several physical and mental health outcomes among older Indians. METHODS: A cross-sectional study was conducted utilizing data come from the 2017-18 wave 1 of the nationally representative Longitudinal Ageing Study in India, comprising a sample of 29,333 older adults (14,120 males and 15,213 females) aged 60 years and above. Multivariate random intercept multilevel logistic regression analysis is used to examine the association between natural and human-made disasters and poor self-rated health, difficulty in activities of daily living, difficulty in instrumental activities of daily living, communicable diseases, non-communicable diseases, depressive symptoms, and psychiatric disorder. RESULTS: Overall, 3.58% of older adults reported that they have encountered any type of natural or human-made disaster in the past five years. Compared to those who did not experience any (natural or human-made) disaster, older adults who experienced any disaster had a higher prevalence of poor self-rated health (33.4% vs 23.31%), difficulty in activities of daily living (33.94% vs 23.00%), difficulty in instrumental activities of daily living (60.09% vs 47.70%), communicable diseases (49.57% vs 25.86%), depressive symptoms (17.30% vs 8.06%) and psychiatric disorders (3.42% vs 2.78%). After adjusting for the selected variables and the contextual effect, the odds of poor self-rated health (1.64 [1.40, 1.92]), difficulty in activities of daily living and instrumental activities of daily living (1.89 [1.61, 2.21] and 1.63 [1.40, 1.89]), communicable and non-communicable diseases (2.12 [1.83, 2.46] and 1.38 [1.20, 1.60]), depressive symptoms and psychiatric disorder (1.67 [1.55, 2.05] and 1.52 [1.33, 2.18]) were significantly higher among older adults who experienced a natural or human-made disaster than their counterparts without such an experience. CONCLUSIONS: Relative to their non-exposed counterparts, older Indians who survived natural or human-made disasters endured an inflated risk of poor self-rated health, functional difficulties, communicable and non-communicable diseases, depressive symptoms, and psychiatric disorders. As such, post-disaster efforts should be grounded in policies and programs that address disaster-related trauma and diseases and improve the functional, physical, and psychological facets of health among older disaster survivors.

Associations between neighbourhood safety, social cohesion, sleep quality and sleep duration among older adults in India: Findings from the Study on Global Aging and Adult Health (WHO-SAGE), 2015.

BACKGROUND: Most studies on later-life health in India focus on families, with far less attention given to the health repercussions of neighbourhood conditions among older Indians. We address this limitation in existing research by examining the associations between perceptions of neighbourhood safety and social cohesion and sleep duration and sleep quality among older adults in India. METHODS: Data come from the Study on Global Aging and Adult Health (WHO-SAGE), India 2015 wave 2, with a sample of 7118 adults aged 50 years and above. Sleep quality and duration were assessed using subjective responses. Multivariable logistic and linear regression analyses were employed to test the research hypotheses. RESULTS: Prevalence of poor sleep quality was higher among older adults living in unsafe neighbourhoods (4.46%) than peers residing in safe neighbourhoods (3.52%), and it was also higher among those living in neighbourhoods with poor social cohesion (5.31%) than counterparts who lived in socially cohesive communities (3.10%). Older adults in neighbourhoods with poor social cohesion had higher odds of reporting compromised sleep quality (adjusted odds ratio 1.75, CI: 1.22-2.51) than those living in socially cohesive neighbourhoods. Moreover, compared to those who perceived they were living in safe neighbourhoods, their peers who perceived their neighbourhoods as unsafe reported shorter sleep duration, with a negative beta coefficient of -0.27 (CI: -0.45 to -0.085). CONCLUSION: That perceived unsafety and poor social cohesion within one's neighbourhood are associated with compromised sleep reflects the significance of making neighbourhoods safer and more integrated for later-life sleep health. In addition to micro-level strategies (e.g., balanced nutrition and physical activity), efforts to improve sleep health should optimise macro-level opportunities, such as rehabilitating and revitalising neighbourhoods, which may alleviate sleep disturbances and improve sleep outcomes among older adults.

Examining factors contributing to the socioeconomic inequalities in handgrip strength among older adults in India: a decomposition analysis.

The purpose of this study was to examine (a) the socioeconomic status (SES)-related inequalities associated with handgrip strength (HGS); and (b) the extent to which several demographic, health, and behavioral factors contributed to such SES disparities in HGS among older adults in India. Data were drawn from the 2017-2018 wave 1 of the Longitudinal Ageing Study of India (LASI). The study sample included 27,707 older adults (13,199 men and 14,508 women) aged 60 years and older. HGS was assessed using a handheld Smedley's Hand Dynamometer with a cut-off of 19.5 kg for men and 12.5 kg for women. Bivariate analysis showed the weighted percentage distribution of weak HGS across respondent characteristics. Multivariate logistic regression assessed factors linked to weak HGS. The concentration curve and index (CCI) was used to determine the inequalities in the prevalence of weak HGS by wealth index scores. Wagstaff's decomposition approach was used to test the contribution of each explanatory variable to weak HGS. Around 9% of older adults in this study reported a weak HGS. It was significantly higher among those aged 80 or older (19.21%) and males (15.55%). Weak HGS was concentrated among older adults from poor SES (CCI: 0.05, p < 0.001). A higher percentage of wealth-based inequality in weak HGS was explained by being underweight (38.83%), belonging to the richest wealth quintile (27.95%), and having a higher subjective social status (32.20%). Moreover, about 23.29% of the inequality in weak HGS was explained by Western region and 22.54% by female gender. Additionally, having a secondary level of education explained a higher percentage (22.09%) of inequality, followed by current working status (- 20.68%). Rural residence (13.08%), limitations in instrumental activities of daily living (IADL) (12.21%), and engagement in yoga-related activities (11.55%) explained a higher percentage of wealth-based inequalities. The findings provide evidence of significant SES-related inequalities in HGS and the contribution of various demographic, health, and behavioral factors to such inequality. As such, public health policies and programs focusing on reducing the burden of disability must consider the contribution of social and economic equity to the preservation of muscle strength among older adults.

How Does Tobacco Use Affect the Cognition of Older Adults? A Propensity Score Matching Analysis Based on a Large-Scale Survey.

INTRODUCTION: Tobacco is a well-established risk factor for cancer, but its association with other morbidities needs consideration. The low-income and middle-income countries (LMICs) with unprecedented demographic transformation lack evidence on tobacco use and its impact on cognitive health. AIMS AND METHODS: Using a propensity score matching approach, we utilized data from the Longitudinal Ageing Study of India. Study employed 1:1 nearest neighbor matching with the replacement methodology. We estimated the odds of the poor cognitive score and tobacco use among older adults based on five different models for ever tobacco user, former tobacco user, current tobacco user, current smokers, and current smokeless tobacco users with reference to never tobacco users. RESULTS: The estimated average treatment effect for the treated and the untreated group has shown a higher likelihood of cognitive decline among ever (OR -0.26; 95%CI -0.43 to -0.09), current (OR -0.28; 95%CI -0.45 to -0.10), and former (OR -0.53; 95%CI -0.87 to -0.19) tobacco users compared to never tobacco users. The finding further suggests the odds of lower cognitive scores among older adults who were smokers (OR -0.53; 95%CI -0.87 to -0.19) and smokeless tobacco users (OR -0.22; 95%CI -0.43 to -0.01) as compared to never tobacco users. CONCLUSIONS: Interventions designed to prevent the incidence of cognitive impairment should focus on limiting the use of tobacco. Strategies under the tobacco-free generation initiative should be amplified in order to prevent future generations from productivity loss, premature ageing and to promote healthy aging. IMPLICATIONS: Evidence of a definitive association between tobacco consumption and cognition among older adults is sporadic in LMICs. Though tobacco is a risk factor for various diseases including cancer, the extent of its impact on cognitive health among the older population is limited. This study contributes to the existing literature by highlighting poor cognitive outcomes among older adults who smoke tobacco and/or consume smokeless tobacco as compared to never-tobacco users. Our findings emphasize the need to accelerate programmes related to tobacco-free generation in LMICs to reach a higher quality of life and healthy aging in pursuit of achieving the sustainable development goal of "good health and well-being."

Social Support From Family and Friends, Educational Attainment, and Cognitive Function.

This study assessed the extent to which associations between perceived and received social support from family and friends and changes in older adults' cognitive function were moderated by educational attainment. Sibling pairs in the Wisconsin Longitudinal Study (WLS) (N = 4,297) completed a survey about social support in 2011 and a cognitive battery in 2011 and 2020. Participants' mean age in 2020 was 80.2 years old. Multilevel linear regressions indicated that perceived, but not received, support from friends was associated with better cognitive function 9 years later. Perceived family support was cognitively advantageous for older adults at most levels of educational attainment. However, among postgraduates, perceived family support was unrelated to cognitive function. That the association between perceived support and cognitive function differs based on educational attainment gives interventionists additional information needed to identify groups of older adults most susceptible to cognitive impairment.

Subjective social status and functional and mobility impairments among older adults: life satisfaction and depression as mediators and moderators.

BACKGROUND: While functional and mobility impairments (FMIs) have garnered the attention of health researchers in low and middle-income countries (LMICs), including India, research has yet to explore whether and to what extent the perception of one's social status is associated with FMIs. We fill this gap in the literature by examining (1) the association between subjective social status (SSS) and FMIs among older adults in India and (2) whether this association between SSS and FMIs is mediated and moderated by life satisfaction and depression. METHODS: Data come from the 2017-18 wave 1 of the Longitudinal Aging Study in India (LASI) with a sample of 31,464 older adults aged 60 years and above. FMIs were assessed using established scales on impairments in activities of daily living (ADLs), instrumental activities of daily living (IADLs), and mobility. SSS was assessed using the Macarthur scale. Life satisfaction was measured using responses to five statements gauging respondent's overall satisfaction with life. Depression was calculated using the shortened version of the Composite International Diagnostic Interview (CIDI-SF). Multivariable regression was employed to examine the association between variables, and the interaction terms and Karlson-Holm-Breen (KHB) method were used separately to test the mediation and moderation effects. RESULTS: 39.11% of the sample had a low SSS, 8.26% were depressed, and 32.07% reported low life satisfaction. A total of 8.74%, 10.91%, and 8.45% of the study population reported at least one impairment in ADL, IADL, and mobility, respectively. Older adults in the higher SSS group were less likely to have ADL impairment (beta: -0.017, CI: -0.030, -0.0032) and mobility impairment (beta: -0.044, CI: -0.076, -0.013). Depression moderated the association between SSS and mobility impairment (p-value: 0.025), and life satisfaction moderated the association between SSS and ADL impairments (p-value: 0.041) and SSS and IADL impairments (p-value: 0.037). Depression mediated 20.28%, 31.88%, and 18.39% of the associations of SSS with ADL, IADL, and mobility impairments, respectively. Similarly, life satisfaction mediated 23.24%, 52.69%, and 27.22% of the associations of SSS with ADL, IADL, and mobility impairments. CONCLUSIONS: That SSS is associated with FMIs among older Indians, even after considering their objective socioeconomic status (SES), suggests that the use of SSS is relevant to the study of health inequalities in India. The finding that life satisfaction and depression mediate and moderate this association is crucial in pinpointing those older Indians at risk of the functional and mobility-related repercussions of lower SSS.

Gender differences in the association between physical frailty and life satisfaction among older adults in India.

BACKGROUND: One of the sustainable development goals' (SDGs) primary goals (Goal 3) is to ensure healthy lives and promote well-being for persons of all ages. While extensive literature documents the link between physical frailty and low life satisfaction (LLS) among older adults, research of this nature is limited within low and middle-income countries including India. The purpose of this study was to examine the association between physical frailty and life satisfaction among community-dwelling older men and women in India. METHODS: Data come from the 2017-18 wave 1 of the Longitudinal Ageing Study in India (LASI), with a sample of 30 390 individuals aged 60 and above (14 559 men and 15 831 women). Physical frailty was assessed using an adapted version of the frailty phenotype developed by Fried and colleagues. Ordered logistic regression models are employed to examine the association between physical frailty and life satisfaction. RESULTS: The prevalence of frailty was higher in older women than men (32.2% vs. 27.5%). Nearly 30.4% of men and 33.8% of women reported having LLS. However, after adjusting for the selected confounders, women were less likely (adjusted odds ratio [aOR]: 0.92; CI: 0.87-0.97) to report LLS compared to men. The physically frail older adults were more likely (aOR: 1.40; CI: 1.27-1.55) to report LLS relative to their physically stronger counterparts. Moreover, we found that frail older men had higher odds of reporting LLS than non-frail older men (aOR: 1.25; CI: 1.09-1.43). Also, non-frail older women had lower odds of reporting LLS than non-frail older men (aOR: 0.80; CI: 0.67-0.95). CONCLUSIONS: Findings of our study suggest that policies and programs to address later life well-being need to consider gender differences. Doing so would not only help identify older adults most at risk of LLS, but gender differentiated policies would help streamline health expenditures and costs typically relegated to assist all older adults without proper focus on the uniqueness of their social location.

Association between subjective social status and physical frailty in older adults in India: perceived discrimination and III-treatment as mediators and moderators.

BACKGROUND: While extensive research exists on physical frailty, including in low- and middle-income countries like India, studies have yet to appraise whether perceived social standing is associated with physical frailty. As such, this study examines (1) the association between subjective social status (SSS) and physical frailty among older adults in India; and (2) whether this association is mediated and moderated by perceived discrimination and experiences of III-treatment. METHODS: Data came from the Longitudinal Aging Study in India with a sample of 31,464 older adults aged 60 and above. Physical frailty was assessed using an adapted version of the frailty phenotype developed by Fried and colleagues. SSS was assessed using the Macarthur scale. Multivariable logistic regression models along with Karlson-Holm-Breen (KHB) methodology were employed to examine the direct association, mediational pathways, and the interactions. RESULTS: The prevalence of frailty was 30.65% and those with lowest SSS reported higher prevalence of frailty (42.06%). After adjusting for several confounders, odds of frailty were lower among persons with high SSS relative to those with low SSS, and the variance explained by the SSS was higher than that explained by household consumption quintiles. Moreover, the association between SSS and frailty was mediated and moderated by perceived discrimination and III-treatment. CONCLUSIONS: Our findings underscore that when examining the association between socioeconomic status (SES) and physical frailty, it is important to consider SSS given that perceived social status likely reflects the less apparent psychosocial components associated with SES, and that perceived discrimination and III-treatment both mediate and moderate the association between SSS and physical frailty is critical to identifying those older Indians most susceptible to the functional health implications of lower SSS.

Bidirectional association between depressive symptoms and mild cognitive impairment over 20 years: Evidence from the Health and Retirement Study in the United States.

BACKGROUND: Research examining the association between depressive symptoms and mild cognitive impairment (MCI) has yielded conflicting results. This study aimed to examine the bidirectional association between depressive symptoms and MCI, and the extent to which this bidirectional association is moderated by gender and education. METHODS: Data come from the US Health and Retirement Study over a 20-year period (older adults aged ≥50 years). Competing-risks regression is employed to examine the association between baseline high-risk depressive symptoms and subsequent MCI (N = 9317), and baseline MCI and subsequent high-risk depressive symptoms (N = 9428). Interactions of baseline exposures with gender and education are tested. RESULTS: After full adjustment, baseline high-risk depressive symptoms were significantly associated with subsequent MCI (SHR = 1.20, 95%CI 1.08-1.34). Participants with baseline MCI are more likely to develop subsequent high-risk depressive symptoms than those without baseline MCI (SHR = 1.16, 95%CI 1.01-1.33). Although gender and education are risk factors for subsequent depression and MCI, neither moderates the bidirectional association. LIMITATIONS: Items used to construct the composite cognitive measure are limited; selection bias due to missing data; and residual confounding. CONCLUSIONS: Our study found a bidirectional association between depressive symptoms and MCI. High-risk depressive symptoms are related to a higher risk of subsequent MCI; and MCI predicts subsequent high-risk depression. Though neither gender nor education moderated the bidirectional association, public health interventions crafted to reduce the risk of depression and MCI should pivot attention to older women and those with less formal education.

Associations between intrinsic capacity, functional difficulty, and fall outcomes among older adults in India.

The construct of intrinsic capacity (IC) in the context of integrated care for older adults emphasizes functional assessment from a holistic perspective. It provides reliable and comparable insights on subsequent functioning and disability. Given the paucity of research on IC and health outcomes in low- and middle-income countries (LMICs), the present study examined the association of IC with geriatric conditions of functional limitations and multiple fall outcomes among older adults in India. The data used for analysis come from the first wave of the Longitudinal Aging Study in India (LASI), 2017-2018. The final sample size contains 24,136 older adults (11,871 males and 12,265 females) age 60 years or above. Multivariable binary logistic regression is employed to examine the association of IC and other explanatory factors with outcome variables of difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL), falls, fall injury, and multiple falls. Of the total sample, 24.56% of older adults were observed to be in the high IC category. The prevalence of ADL difficulty, IADL difficulty, falls, multiple falls and fall-related injury is estimated to be 19.89%, 45.00%, 12.36%, 5.49% and 5.57%, respectively. Older adults who reported high IC had a significantly lower prevalence of ADL difficulty (12.26% vs 22.38%) and IADL difficulty (31.13% vs 49.52%) than those who reported low IC. Similarly, a lower prevalence of falls (9.42% vs 13.34%), fall-related injury (4.10% vs 6.06%) and multiple falls (3.46% vs 6.16%) were reported among those who had high IC. After adjusting for a large number of confounders such as age, sex, health-related attributes and lifestyle behaviors, older adults with high IC had significantly lower odds of ADL difficulty [aOR: 0.63, CI: 0.52-0.76], IADL difficulty [aOR: 0.71, CI: 0.60-0.83], falls [aOR: 0.80, CI: 0.67-0.96], multiple falls [aOR: 0.73, CI: 0.58-0.96] and fall-related injury [aOR: 0.78, CI: 0.61-0.99]. That a high IC was independently associated with a lower risk of functional difficulty and fall outcomes in later life is of enormous value in predicting subsequent functional care needs. More specifically, the findings here imply that because regular IC monitoring can predict poor health outcomes in older adults, improvements in IC should be prioritized while formulating disability and fall prevention strategies.

The association between loneliness and life satisfaction: examining spirituality, religiosity, and religious participation as moderators.

BACKGROUND: Future cohort of older adults may have to rely on non-family sources and forms of support, religion being one of them. This may be especially so, considering the recent longitudinal evidence that individuals are inclined to become more religious with increasing age. Thus, the purpose of the present study was to assess the association between loneliness and life satisfaction among older adults in India, and the extent to which the association between loneliness and life satisfaction is moderated by spirituality, religiosity, and religious participation. METHODS: Data come from the Longitudinal Ageing Study in India, with a sample of 31,464 individuals aged 60 years and above. Multivariable logistic regression models were employed to examine the independent association of loneliness and life satisfaction. Further, an interaction analysis was conducted to examine the extent to which the association between perceived loneliness and life satisfaction is moderated by spirituality, religiosity and religious participation among older Indians. RESULTS: The prevalence of low life satisfaction (LLS) was 30.84%; a total of 37.25% of participants reported feeling lonely, 12.54% reported a lack of spiritual experience, 21.24% reported not being religious, and 19.31% reported not participating in religious activities. Older adults who felt lonely had higher odds of LLS relative to peers who were not lonely. Further, the adverse impact of loneliness on LLS among older Indians is moderated by their spirituality, religiosity, and religious participation. Specifically, the adverse impact of loneliness on LLS was less negatively pronounced among older adults who were spiritual, religious, and engaged in religious activities. CONCLUSIONS: The study found an independent association between loneliness and lower life satisfaction among older adults in India. It also revealed that religiosity, spirituality and religious participation moderate the association between loneliness and lower life satisfaction. These findings, which underscore the health promoting benefits of religiosity and religious engagement, may be used to build on the interaction between religious and faith-based groups and public health professionals.

Early life factors associated with the experiences of pain in later life: evidence from a population based study in India.

BACKGROUND: The influence of early life factors is becoming increasingly apparent as studies investigate how experiences, resources, and constraints in childhood affect health and well-being later in life. The present study contributes to this literature by examining the association between several early life factors and self-reported pain among older adults in India. METHODS: Data come from the 2017-18 wave 1 of the Longitudinal Ageing Study of India (LASI). The sample size includes 28,050 older adults aged 60 and above (13,509 men and 14,541 women). Pain is a self-reported, dichotomous measure where participants responded to whether they were often troubled with pain and whether this experience interfered with their ability to carry out daily household chores. Early life factors, which are retrospective accounts of experiences, included the respondent's position in birth order, their health status, school absenteeism, being bedridden, family socioeconomic status (SES), and their parent's experience with chronic disease. Logistic regression analysis is employed to examine the unadjusted and adjusted average marginal effects (AME) of selected domains of early life factors associated with the probability of experiencing pain. RESULTS: 22.8% of men and 32.3% of women reported pain that interfered with daily activities. Pain was higher among men (AME: 0.01, confidence interval (CI): 0.01-0.03) and women (AME: 0.02, CI: 0.01-0.04) with third or fourth birth order compared to counterparts with first birth order. Both men (AME: -0.02, CI: -0.04-0.01) and women (AME: -0.07, CI: -0.09 - -0.04) having a fair childhood health status reported a lower probability of pain. The probability of pain was higher among both men (AME: 0.03, CI: 0.01-0.07) and women (AME: 0.07, CI: 0.03-0.13) who were bedridden due to sickness in their childhood. Similarly, the pain likelihood was higher among men who missed school for more than a month due to health problems (AME: 0.04, CI: -0.01-0.09). Men and women with poor financial condition in their childhood reported (AME: 0.04, CI: 0.01-0.07) a higher probability of experiencing pain relative to their peers who reported a more financially advantaged early life. CONCLUSIONS: Findings of the present study add to the empirical literature on the association between early life factors and later life health and well-being. They also are pertinent to health care providers and practitioners working in pain management, as this knowledge better positions them to identify older adults most susceptible to pain. Moreover, findings of our study underscore that the interventions to ensure health and well-being in later life must start far earlier in the life course.

The association between subjective cognitive decline and trajectories of objective cognitive decline: Do social relationships matter?

OBJECTIVES: We examine the association between subjective cognitive decline (SCD) and the trajectories of objective cognitive decline (OCD); and the extent to which this association is moderated by social relationships. METHODS: Data come from waves 10 (2010) through 14 (2018) of the Health and Retirement Study, a nationally representative panel survey of individuals aged 50 and above in the United States. OCD is measured using episodic memory, and overall cognition. SCD is assessed using a baseline measure of self-rated memory. Social relationships are measured by social network size and perceived positive and negative social support. Growth curve models estimate the longitudinal link between SCD and subsequent OCD trajectories and the interactions between SCD and social relationship variables on OCD. RESULTS: SCD is associated with subsequent OCD. A wider social network and lower perceived negative support are linked to slower decline in memory, and overall cognition. None of the social relationship variables, however, moderate the link between SCD and future OCD. CONCLUSION: Knowing that SCD is linked to subsequent OCD is useful because at SCD stage, deficits are more manageable relative to those at subsequent stages of OCD. Future work on SCD and OCD should consider additional dimensions of social relationships.

Gender differences in the association between cardiovascular diseases and major depressive disorder among older adults in India.

Background: Despite the global disease burden associated with the co-occurrence of cardiovascular diseases (CVDs) and depression, depression remains underdiagnosed and undertreated in the CVD population, especially among older adults in India. As such, this study examines (1) the association between single and multiple CVDs and major depressive disorder among older Indians; (2) whether this association is mediated by older adults' self-rated health and functional limitations; and (3) whether these associations vary for older men and women. Methods: Data come from the 2017-18 wave 1 of the Longitudinal Ageing Study in India. Multivariable logistic regression is used to explore the association between CVDs and major depressive disorder among older men and women. The Karlson-Holm-Breen (KHB) method is used to examine the mediation effects of self-rated health and functional difficulties in the observed associations. Results: Overall, 5.08% of the older adults had multiple CVDs. Older women (9.71%) had a higher prevalence of major depressive disorder compared to men (7.50%). Multiple CVDs were associated with greater odds of major depressive disorder after adjusting the potential covariates (adjusted odds ratio [AOR]: 1.49; 95% confidence interval [CI]: 1.10-2.00). Older men with multiple CVDs had a greater risk of major depressive disorder (AOR: 1.64; 95% CI: 1.05-2.57) relative to women with CVDs (AOR: 1.39; 95% CI: 0.93-2.08). The association between multiple CVDs and depression was mediated by self-rated health (34.03% for men vs. 34.55% for women), ADL difficulty (22.25% vs. 15.42%), and IADL difficulty (22.90% vs. 19.10%). Conclusions: One in five older Indians with multiple CVDs reports major depressive disorder, which is three times more common than the prevalence of depressive disorder in older adults without CVDs. This association is attenuated by self-rated health and functional limitations. Moreover, these associations are more pronounced in older men relative to older women. These findings depart from prior inferences that men with CVDs are less psychologically distressed than their female counterparts. Moreover, the findings underscore the importance of gender-specific approaches to interventions and therapeutics for CVD-related mental health.

Multiple socioeconomic risks and cognitive impairment among older men and women in India.

Introduction: Socioeconomic status (SES) is negatively associated with innumerable health outcomes, including cognitive functioning. Yet much remains undiscovered about SES patterns in later-life cognition in low-and middle-income countries (LMICs). The purpose of this study was to examine the association between separate and combined socioconomic risks and cognitive impairment among older adults in India. Further, given gender disparities in later life cognitive functioning and SES, the study examines the associations between socioeconomic risks and cognitive impairment separately, for older men and women. Methods: Data come from the 2017-18, first wave of the Longitudinal Aging Study in India (LASI), with 31,464 older adults aged 60 years and above. Cognitive impairment was assessed using multiple broad measures of memory, orientation, arithmetic function, and visuo-spatial construction skills. We present descriptive statistics along with cross-tabulation of the outcome variable. Additionally, binary logistic regression analysis was used to test the association between outcome and explanatory variables. SES is measured using education, paid work status, and household wealth measured using monthly per-capita consumption expenditure (MPCE). Results: A proportion of 7.14% of the older men and 20.03% of older women reported cognitive impairment. The odds of cognitive impairment were higher among uneducated older men and women, and older men and women in lowest wealth quintile. Surprisingly, older women without current or prior work history report lower odds of cognitive impairment compared to their peers in labor force. While odds of cognitive impairment are higher among non-working older men, this association is not statistically significant. In older men, the odds of cognitive impairment were 5.34, 7.14, and 13.05 times higher with one, two, and three risk factors, respectively, compared with those with no risk exposure. A similar trend was observed for women but with comparatively lower odds. Conclusions: Our findings underscore the need to distinguish between varying elements of SES to construct "upstream" health policies and programs that redistribute resources. In particular, the findings support the use of multiple SES indicators in identifying older adults most susceptible to cognitive deficits, and planning gender-based interventions to improve cognitive health in late life.

Working beyond SPA and the trajectories of cognitive and mental health of UK pensioners: Do gender, choice, and occupational status matter?

We assessed the association between work status beyond state pension age (SPA) and the long-term trajectories of cognitive and mental health for men and women separately, and the extent to which this relationship is conditioned by their occupational status and whether the choice to retire or continue working is voluntary or involuntary. Data are pensioners (aged between SPA and SPA + 9) from the English Longitudinal Study of Ageing waves 4 (2008/09) through 9 (2018/19). The analytic sample includes 959 men and 1217 women when considering cognitive outcomes and 1131 men and 1434 women when evaluating depression. Findings based on growth curve models reveal that, compared to women who retired at SPA and without any particular reason, their peers who retired due to frailing health reported a more precipitous decline in memory over time (coefficient = -0.10). However, analysis stratified by occupation shows that this association between ill-health retirement and long-term memory decline was concentrated among older women of the highest occupational status. We also found that men who retired or worked past SPA voluntarily reported a better baseline verbal fluency and were less likely to report depression over time (coefficient for work = 0.80; coefficient for retired = 0.87). Women who worked past SPA voluntarily were less likely to report depression at baseline (OR = 0.53). Policies that extend work life should offer older people more personal control over decision surrounding retirement. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-021-00644-4.

Do depressive symptoms link chronic diseases to cognition among older adults? Evidence from the Health and Retirement Study in the United States.

BACKGROUND: Few studies have assessed psychological pathways that connect the association between non-psychotropic chronic disease and cognition. We assessed the extent to which the association between the two was mediated by depressive symptoms in older adults. METHODS: Data came from waves 10-13 (2010-2016) of the Health and Retirement Study in the United States (7,651 men and 10,248 women). Multilevel path analysis, allowing for random intercepts and slopes, was employed to estimate the extent to which depressive symptoms mediated the total effect of a chronic disease on cognition. RESULTS: We found that the presence of stroke, high blood pressure, diabetes, heart problems, and comorbidity, in both men and women, and lung disease in women, was associated with lower levels of cognition. The total effects of chronic diseases on cognition were partially mediated through depressive symptoms. Depressive symptoms mediated approximately 19%-39% and 23%-54% of the total effects of chronic diseases on cognition in men and women, respectively. LIMITATIONS: We relied on self-reported diagnoses of diseases and depressive symptoms. Our use of a multilevel path analysis with random slopes precluded the inclusion of binary/categorical dependent variables, and the estimation of standardized beta values. CONCLUSIONS: To understand the cognitive challenges that chronically ill older adults face, practitioners and policymakers should consider not just the direct symptoms related to chronic diseases, but also the often overlooked psychological conditions faced by older adults.