Abhishek Anand

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.

Objectives: Chronic anaemia is a significant health concern, particularly among women of childbearing age. Factors such as menstrual blood loss, childbirth, inadequate nutrition, closely spaced pregnancies, and recurrent gastrointestinal bleeding increase the risk of anaemia. This study investigated whether current contraceptive methods are associated with anaemia in Indian women of reproductive age.Methods: Cross-sectional data from the fifth round of the National Family Health Survey, conducted in 2019-2021, were used for this investigation. We included only non-pregnant and non-amenorrhoeic women in our analysis, resulting in a final analytical sample of 673 094 women aged 15-49. Bivariate cross-tabulations and multivariable logistic regression were employed to analyse the data.Results: The prevalence of anaemia was 57%, and the adjusted regression models found no significant association between the use of any contraceptive methods and women’s haemoglobin status. Women using traditional contraceptive methods had 1.08 (95% confidence interval, 1.05 to 1.11) times higher odds of having anaemia. Among the modern methods, other than injectables, all other methods—such as an intrauterine device, barrier use, and sterilisation—were associated with higher odds of anaemia compared to women who used contraceptive pills.Conclusions: This study explored the relationship between modern contraceptives and haemoglobin levels in India, revealing that injectables were associated with a notable reduction in the odds of anaemia, whereas traditional contraceptives and other modern methods exhibited positive associations with anaemia. These findings prompt policymakers to focus on anaemia reduction and safe contraceptives. More research is needed to inform decisions, given the scant literature.

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.

Background and aims The present study aims to investigate the disparities in healthcare utilization and healthcare burden among individuals with and without diabetes. The prevalence of diabetes is more pronounced among older adults, which can detrimentally influence their health and quality of life while also restricting their capacity to self-manage and giving rise to competing healthcare demands. Thus, it is crucial to understand the implications of diabetes on healthcare demands and expenditures to mitigate its detrimental consequences. Methods Data was used from the initial round of the Longitudinal Aging Study in India (LASI), conducted in 2017–18. The analytical sample included 65,562 individuals aged 45 or above, and 8429 individuals were identified as having diabetes. The primary outcome variable was the out-of-pocket expenditure (OOPE) in the most recent hospitalization. Descriptive statistics and logistic regression are used to find the trend in the prevalence of morbidities both in diabetic and nondiabetic groups. Additionally, quantile regression was used to study the association between the presence of diabetes and the risk of excess healthcare expenditure calculated through out-of-pocket expenditure for hospitalization and expenditure on medicines. Results 16% of people with diabetes were hospitalized in the past year, compared to 9% without diabetes. The mean hospitalization length for diabetics was 13.6 days, compared to 6.5 for nondiabetics. Diabetes is significantly associated with higher OOPE for hospitalization across all quintiles, and its effect on hospitalization is weakest in the highest quintile. Having diabetes is also found to be significantly associated with the expenditure on medicines across all quintiles. Conclusion The study highlights the need for diabetes awareness programs and interventions integrated into national health policies. The quantile regression model provides crucial insights into the association between diabetes and OOPE for hospitalization and medicine The increase of OOPE for hospitalisation and medicine due to the presence of diabetes emphasizes the need to address the financial burden faced by people with diabetes, highlighting the urgency of prioritizing measures to improve access to affordable care.

Background: Pregnancy registration is one of the most critical components of women’s reproductive health because it is the gateway to entering the continuum of care services such as antenatal care, institutional delivery, and postnatal care. There is a lack of studies exploring the relationship between pregnancy intention and pregnancy registration, especially in the Indian context. Method: This study used the National Family Health Survey-5 (2019-21) data to explore the relationship between birth intention and failure of pregnancy registration. The bivariate and multivariate (binary logistic regression) analysis was carried out. Results: Adjusting the effects of socio-demographic and economic characteristics, compared with women with an intended pregnancy, the odds of failure of pregnancy registration were significantly high among women with a mistimed pregnancy (OR = 1.60, 95% CI = 1.47–1.73) and unwanted pregnancy (OR = 1.38, 95% CI = 1.26–1.52). The study found pregnancy intention as a significant predictor of pregnancy registration. Conclusions: Results suggest strengthening the interaction of grassroots-level health workers with women, especially those with possibly lower healthcare autonomy and unintended pregnancy. Higher and earlier pregnancy registration will enhance maternal healthcare utilization and reduce adverse health consequences to mothers and children, thus ensuring better maternal and child health.

Purpose The objective of this study is to evaluate whether the presence of a cancer history constitutes a risk for encountering unfavourable health outcomes and functional limitations. Moreover, the study also aims to identify specific attributes of cancer survivors that are associated with an increased risk of experiencing poor health and disability. Methods This study has utilized data from Longitudinal Ageing Study in India (LASI) conducted in 2017-18. The analytical sample size for this study was 65,562 older individuals of age 45 years and above. We have focused on individuals diagnosed with cancer, i.e., cancer survivors, and compared their health outcomes to those of a similar group (without a cancer history) with similar socioeconomic and demographic features. Descriptive statistics and logistic regression models were used to assess the adjusted effect of explanatory variables on cancer survivors. Results The result shows that the overall number of cancer survivors is 673 per 100.000 older adults and is higher in Urban areas (874 per 100.000) than in rural areas (535 per 100.000). 43.7% of the survivors reported poor self-rated health, and around 34.0% of cancer survivors reported depression, while this prevalence was much lower among older adults without a cancer history. Individuals who were diagnosed with cancer a long time ago have a significantly lower likelihood of experiencing poor SRH, depression, and diminished life satisfaction in comparison to those diagnosed more recently. Conclusion The study highlights the importance of factors such as time since diagnosis and the number of cancer sites in influencing health outcomes among survivors. Additionally, socioeconomic factors, such as wealth and access to health insurance, appear to play a role in the health status of cancer survivors. Implications for cancer survivors Healthcare policies should recognize the long-term impact of cancer and prioritize the provision of long-term survivorship care. This may involve establishing survivorship clinics or dedicated healthcare centres that provide specialized care for cancer survivors, addressing their unique needs throughout the survivorship continuum.

Objectives: The present study aimed to examine the association of multimorbidity status with food insecurity among disadvantaged groups such as Scheduled Castes (SCs), Scheduled Tribes (STs), and Other Backward Class (OBCs) in India. Method: The data for this study was derived from the first wave of the Longitudinal Ageing Study in India (LASI),2017–18, focusing on 46,953 individuals aged 45 years and over who belong to SCs, STs, and OBCs groups. Food insecurity was measured based on the set of five questions developed by the Food and Nutrition Technical Assistance Program (FANTA). Bivariate analysis was performed to examine the prevalence of food insecurity by multimorbidity status along with socio-demographic and health-related factors. Multivariable logistic regression analysis and interaction models were used. Results: The overall prevalence of multimorbidity was about 16% of the study sample. The prevalence of food insecurity was higher among people with multimorbidity compared to those without multimorbidity. Unadjusted and adjusted models suggested that people with multimorbidity were more likely to be food insecure than people without multimorbidity. While middle-aged adults with multimorbidity and men with multimorbidity had a higher risk of food insecurity. Conclusion: The findings of this study suggest an association between multimorbidity and food insecurity among socially disadvantaged people in India. Middle-aged adults experiencing food insecurity tend to reduce the quality of their diet and consume a few low-cost, nutritionally deficient meals to maintain caloric intake, putting them again at risk for several negative health outcomes. Therefore, strengthening disease management could reduce food insecurity in those facing multimorbidity.