Researchers have long been concerned about the association between depression and the prevalence of multiple chronic diseases or multimorbidity in older persons. However, the underlying pathway or mechanism in the multimorbidity-depression relationship is still unknown. Data were extracted from a baseline survey of the Longitudinal Ageing Survey of India (LASI) conducted during 2017–18 (N = 31,464; aged ≥ 60 years). Depression was assessed using the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10). Multivariable logistic regression was used to examine the association. The Karlson–Holm–Breen (KHB) method was adopted for mediation analysis. The prevalence of depression among older adults was nearly 29% (men: 26% and women 31%). Unadjusted and adjusted estimates in binary logistic regression models suggested an association between multimorbidity and depression (UOR = 1.28; 95% CIs 1.27–1.44 and AOR = 1.12; 95% CIs 1.12–1.45). The association was particularly slightly strong in the older men. In addition, the association was mediated by functional health such as Self Rated Health (SRH) (proportion mediated: 40%), poor sleep (35.15%), IADL disability (22.65%), ADL disability (21.49%), pain (7.92%) and by behavioral health such as physical inactivity (2.28%). However, the mediating proportion was higher among older women as compared to older men. Physical inactivity was not found to be significant mediator for older women. The findings of this population-based study revealed that older people with multimorbidity are more likely to suffer depressive symptoms in older ages, suggesting the need for more chronic disease management and research. Multimorbidity and depression may be mediated by certain functional health factors, especially in older women. Further longitudinal research is needed to better understand the underlying mechanisms of this association so that future preventive initiatives may be properly guided.

Background: In India, more than half of the newborns experience delayed breastfeeding, and non-exclusive breastfeeding is practiced in 63% of babies below the age of six months. The goal of this study is to investigate the extent to which external environment, demographic and socioeconomic, pregnancy and birthing characteristics, as well as utilization of maternal care services, are associated with delayed initiation and non-exclusive breastfeeding among children in India. Methods: Data was gathered from the fifth round of the National Family Health Survey (NFHS), which was conducted in 2019-21. This study used information on 85,037 singleton infants aged 0–23 months and 22,750 singleton infants aged 0–5 months. Delayed initiation of breastfeeding and non-exclusive breastfeeding was used as outcome variables in this study. Unadjusted and adjusted multivariable binary logistic regression was performed to analyse the association of delayed breastfeeding and non-exclusive breastfeeding with selected background characteristics. Results: Factors significantly associated with increased risks of delayed initiation of breastfeeding included infants from in the central region (OR 2.19; 95% CI 2.09, 2.29), mothers in the 20 to 29 years age group at the time of childbirth (OR 1.02; 95% CI 0.98, 1.05), caesarean deliveries (OR 1.97; 95% CI 1.90, 2.05). The likelihoods for non-exclusive breastfeeding significantly increased among children belonging to the richest household status (OR 1.30; 95% CI 1.17, 1.45), mothers who had less than nine months of pregnancy period (OR 1.15; 95% CI 1.06, 1.25), and mothers who gave birth in non-health facility (OR 1.17; 95% CI 1.05, 1.31). Conclusions: The connections between several different categories of factors and non-exclusive breastfeeding and delayed breastfeeding initiation show the need for comprehensive public health programmes using a multi-sectoral approach to promote breastfeeding behaviours in India.

Background In India, the usage of modern contraception methods among women is relatively lower in comparison to other developed economies. Even within India, there is a state-wise variation in family planning use that leads to unintended pregnancies. Significantly less evidence is available regarding the determinants of modern contraception use and the level of inequalities associated with this. Therefore, the present study has examined the level of inequalities in modern contraception use among currently married women in India. Methods This study used the fourth round of National Family Health Survey (NFHS-4) conducted in 2015-16. Our analysis has divided the uses of contraception into three modern methods of family planning such as Short-Acting Reversible Contraception (SARC), Long-Acting Reversible Contraception (LARC) and permanent contraception methods. SARC includes pills, injectable, and condoms, while LARC includes intrauterine devices, implants, and permanent contraception methods (i.e., male and female sterilization). We have employed a concentration index to examine the level of socioeconomic inequalities in utilizing modern contraception methods. Results Our results show that utilization of permanent methods of contraception is more among the currently married women in the higher age group (40-49) as compared to the lower age group (25-29). Women aged 25-29 years are 3.41 times (OR: 3.41; 95% CI: 3.30-3.54) more likely to use SARC methods in India. Similarly, women with 15 + years of education and rich are more likely to use the LARC methods. At the regional level, we have found that southern region states are three times more likely to use permanent methods of contraception. Our decomposition results show that women age group (40-49), women having 2-3 children and richer wealth quintiles are more contributed for the inequality in modern contraceptive use among women. Conclusions The use of SARC and LARC methods by women who are marginalized and of lower socioeconomic status is remarkably low. Universal free access to family planning methods among marginalized women and awareness campaigns in the rural areas could be a potential policy prescription to reduce the inequalities of contraceptive use among currently married women in India.

There has been an increasing focus on the interplay between physical frailty and cognitive impairment, as both conditions pose significant risks for life-threatening health complications and are receiving considerable attention in global geriatric health initiatives. A recent consensus introduces “cognitive frailty,” denoting the co-existence of physical frailty and cognitive impairment without dementia. This study aims to ascertain the prevalence of cognitive frailty and investigate the factors contributing to gender differentials of cognitive frailty among older adults in India. This study has used the data from the nationally representative survey Longitudinal Ageing Study in India 2017–18. This study included a sample of 13,946 males and 14,989 females aged 60 and above. Descriptive and bivariate analyses were conducted. A proportion test was employed to assess gender disparities and determine the statistical significance of risk factors. Furthermore, multivariate decomposition analysis was performed to identify the extent to which various covariates contribute to explaining the gender differences observed in cognitive frailty. The overall prevalence of cognitive frailty was 4.4%. There was a significant gender difference in cognitive frailty among older adults in India (Difference: 4.3%; p-value < 0.001] with 2.1% (95% CI: 1.8–2.3) older males and 6.4% (95% CI: 6.0-6.8) older females suffering from cognitive frailty. The considerable gender gap in cognitive frailty would be reduced if women had similar levels of education (37% reduction) than men. Results highlight that increasing age, being a woman (AOR: 1.61; 95% CI: 1.33–1.95), out-of-wedlock, less education and non-working status (AOR:2.19; 95% CI: 1.71–2.80) were significantly associated with cognitive frailty. Poor nutritional status, and depression are also prone among the cognitively frail participants. Gender sensitive interventions improving education access for women are crucial. Developing countries like India urgently require a multidimensional approach to ensure appropriate and comprehensive healthcare for the elderly population.

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.