Self-rated health among older adults in India: Gender specific findings from National Sample Survey

Unveiling the dynamics of social engagement and subjective health in older adults: A gendered perspective

OBJECTIVES

As populations age globally, understanding the dynamics that influence the well-being of older individuals become increasingly crucial. The research employs a comprehensive approach to unravel the multifaceted interplay between social engagements and subjective health perceptions of older Indians, with a special focus on gender differences.

SUBJECTS AND METHODS

This study used data from the Longitudinal Aging Study in India (LASI) wave 1, 2017-18 with a total sample of 30,533 older adults aged 60 years and above. Bivariate analysis, chi-square tests and unadjusted and adjusted average marginal effects from logistic regression models were used to assess the relationship between social engagements and subjective health among older adults, stratified by gender.

RESULTS

The prevalence of poor health status decreased with higher frequency of social networks among both men (pp. (percentage point) = 6.1; CI (Confidence Interval): 10.6, 1.6) and women (pp. = 9.2; CI: 14.9, 3.4). The adjusted average marginal effects demonstrate that with an increase in the overall score of social engagement, the likelihood of poor health is almost reduced by half. For men, the prevalence of poor health was 9.8 pp. (95 % CI: 13.7, 5.8), while for women, it was 9.3 pp. (95 % CI: 15.2, 3.1).

CONCLUSION

Gendered perspectives unveil unique patterns, highlighting how societal expectations and roles assigned to each gender may influence the subjective health perceptions of older individuals. This study adds to the expanding knowledge base to enhance the well-being and fulfillment of aging populations, considering the complex interplay of social dynamics and gendered perspectives.

Exploring the Influence of Social Class and Sex on Self-Reported Health: Insights from a Representative Population-Based Study

This study investigates the intricate interplay between social class, sex, and self-reported health (SRH) using data from the European Health Survey of Spain 2020 (EESE2020). Employing a cross-sectional design and a representative sample of 22,072 individuals, the analysis explores the persistence of disparities after adjusting for covariates, focusing on health-related variables. The study employs logistic regression models and directed acyclic graphs (DAGs) to delineate the direct effects of social class and sex on SRH, identifying a minimum adjustment set to control for confounding variables. Results reveal a gradient effect of social class on SRH, emphasizing the enduring impact of socioeconomic factors. Sex-based disparities in SRH diminish after considering additional health-related variables, highlighting the importance of a holistic approach. DAGs serve as transparent tools in disentangling complex relationships, guiding the identification of essential covariates. The study concludes that addressing health inequalities requires comprehensive strategies considering both individual health behaviours and socio-economic contexts. While recognizing limitations, such as the cross-sectional design, the findings contribute to a nuanced understanding of health disparities, informing evidence-based interventions and policies for a more equitable healthcare system.

Exploring multimorbidity clusters in relation to healthcare use and its impact on self-rated health among older people in India

The conventional definition of multimorbidity may not address the complex treatment needs resulting from interactions between multiple conditions, impacting self-rated health (SRH). In India, there is limited research on healthcare use and SRH considering diverse disease combinations in individuals with multimorbidity. This study aims to identify multimorbidity clusters related to healthcare use and determine if it improves the self-rated health of individuals in different clusters. This study extracted information from cross-sectional data of the first wave of the Longitudinal Ageing Study in India (LASI), conducted in 2017-18. The study participants were 31,373 people aged ≥ 60 years. A total of nineteen chronic diseases were incorporated to identify the multimorbidity clusters using latent class analysis (LCA) in the study. Multivariable logistic regression was used to examine the association between identified clusters and healthcare use. A propensity score matching (PSM) analysis was utilised to further examine the health benefit (i.e., SRH) of using healthcare in each identified cluster. LCA analysis identified five different multimorbidity clusters: relatively healthy' (68.72%), 'metabolic disorder (16.26%), 'hypertension-gastrointestinal-musculoskeletal' (9.02%), 'hypertension-gastrointestinal' (4.07%), 'complex multimorbidity' (1.92%). Older people belonging to the complex multimorbidity [aOR:7.03, 95% CI: 3.54-13.96] and hypertension-gastrointestinal-musculoskeletal [aOR:3.27, 95% CI: 2.74-3.91] clusters were more likely to use healthcare. Using the nearest neighbor matching method, results from PSM analysis demonstrated that healthcare use was significantly associated with a decline in SRH across all multimorbidity clusters. Findings from this study highlight the importance of understanding multimorbidity clusters and their implications for healthcare utilization and patient well-being. Our findings support the creation of clinical practice guidelines (CPGs) focusing on a patient-centric approach to optimize multimorbidity management in older people. Additionally, finding suggest the urgency of inclusion of counseling and therapies for addressing well-being when treating patients with multimorbidity.

Examining the Association of Pain and Pain Frequency With Self-Reported Difficulty in Activities of Daily Living and Instrumental Activities of Daily Living Among Community-Dwelling Older Adults: Findings From the Longitudinal Aging Study in India

OBJECTIVES

We examined the prevalence and associations of self-reported difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL) with pain among community-dwelling older adults in India. We also explored the interaction effects of age and sex in these associations.

METHODS

We used the Longitudinal Ageing Study in India (LASI) Wave 1 data (2017-2018). Our unweighted sample included 31,464 older adults aged 60 years and above. Outcome measures were having difficulty in at least 1 ADL/IADL. We conducted multivariable logistic regression analyses to examine the association of pain with functional difficulties controlling for selected variables.

RESULTS

A total of 23.8% of older adults reported ADL and 48.4% reported IADL difficulty. Among older adults who reported pain, 33.1% reported difficulty in ADL and 57.1% reported difficulty in IADL. The adjusted odds ratio (aOR) for ADL was 1.83 (confidence interval [CI]: 1.70-1.96) and for IADL was 1.43 (CI: 1.35-1.51) when respondents reported pain compared with those without pain. Older adults who reported frequent pain had 2.28 and 1.67 times higher odds of ADL (aOR: 2.28; CI: 2.07-2.50) and IADL difficulty (aOR: 1.67; CI: 1.53-1.82) compared with those with no pain. Additionally, age and sex of the respondents significantly moderated the associations of pain and difficulty in ADL and IADL.

DISCUSSION

Given the higher prevalence and likelihood of functional difficulties among older Indian adults who experienced frequent pain, interventions to mitigate pain in this vulnerable population are needed to ensure active and healthy aging.