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India is a large middle-income country and has surpassed China in overall population, comprising 20% of the global population (over 1.43 billion people). India is experiencing a major demographic shift in its aging population. Chronic diseases are common among older adults and can be persistent over the life course, lead to the onset of disability, and be costly. Among older adults in India, the existence of multiple comorbid chronic conditions (i.e., multimorbidity) is rapidly growing and represents a burgeoning public health burden. Prior research identified greater rates of multimorbidity (e.g., overweight/obesity diabetes, hypertension, cardiovascular disease, stroke, and malignancies) in minority populations in the United States (U.S.); however, limited studies have attempted to characterize multimorbidity among older adult sub-populations residing in India. To address this gap, we conducted a narrative review of studies on multimorbidity using the data from the Longitudinal Aging Study of India (LASI), the largest nationally representative longitudinal survey study of adults in India. Our definition of multimorbidity was the presence of more than two conditions in the same person. Our findings, based on 15 reviewed studies, aim to (1) characterize the definition and measurement of multimorbidity and to ascertain its prevalence in ethnically and culturally diverse sub-populations in India; (2) identify adverse outcomes associated with multimorbidity in the Indian adult population; and (3) identify gaps, opportunities, and future directions.

Patients with haemodialysis catheters are susceptible to dialysis-associated infections, particularly bloodstream infections. There have been few systematic attempts to reduce this burden. Our study aimed to investigate the effect of a multimodal prevention strategy on dialysis-associated infection events (DAIE) among haemodialysis outpatients. A multicentre, stepped wedge, cluster-randomized controlled trial was done from October 2019 to September 2021. Outpatient dialysis facilities entered into the intervention phase in three randomly assigned clusters, at three predefined time points. The multimodal prevention strategy consisted of infection surveillance and hand hygiene (HH) compliance observation with active feedback and teaching aseptic procedures, and a patient flyer. The primary outcome was incidence rates of different DAIE, such as bloodstream infections, intravenous antimicrobial starts, and local access-site infections per 1000 dialysis. As secondary outcome, we analysed the HH compliance change. A total of 43 haemodialysis outpatient facilities with 11 251 patients and 1 413 457 proceeded haemodialysis were included in the DIPS-trial. Incidence rates were 0.71 DAIE per 1000 dialysis (95% CI, 0.65–0.78) in the control and 0.31 (95% CI, 0.27–0.36) in the intervention group. The univariable analysis yielded an incidence rate ratio (IRR) of 0.44 (95% CI, 0.33–0.59) for DAIE. Especially in patients with a central venous catheter, we saw a significant decrease in DAIE in the intervention group (IRR 0.4; 95% CI, 0.28–0.58). The HH observation combined with feedback and intensified training, resulted in an increase of HH compliance from 58–65%. A multimodal prevention strategy showed a significant preventive effect on DAIE among haemodialysis outpatients. This reduction also applied to bloodstream infections, especially in patients with a central venous catheter. [ABSTRACT FROM AUTHOR]

Introduction: An aging population is associated with an increased risk of cognitive decline. Sleep duration, both excess and deficiency, is a risk factor for cognitive impairment. Therefore, this study was conducted to assess the relationship between sleep duration and cognition in the Indian population. Methods: This study was a secondary analysis of the first wave of the Longitudinal Aging Study in India (LASI) conducted across India in all 34 states and union territories. Sleep duration was calculated using sleep and wake times, whereas cognition was measured as a composite cognitive index. Both univariable and multivariable linear regressions were performed on the composite cognitive score. Subgroup analyses were conducted based on sex and age groups (45-59 years and ≥60 years). Results: The median (IQR) cognition score was 25 (20-30). A sleep duration of ≤4 hours was associated with a decrease in cognition status of 1.15 points (1.57-0.72), and a sleep duration of ≥9 hours was associated with a decrease of 0.93 points (1.25-0.60). Subgroup analysis revealed that this relationship remained consistent across both genders and both age groups. Conclusion: Both long and short durations of sleep were seen to be associated with a decrease in cognition scores among Indian adults, in both sexes and both age groups. Thus, proper sleep duration can help in the prevention of declining cognition as one ages and the development of dementia.

Abstract Few studies have focused sufficiently on the intricate link between functional health and depression among older people aged 60 and above in India. Therefore, the current study investigates the association between functional health and depression among older Indian adults through the mediating role of social disengagement and loneliness and the moderating role of living arrangements using recent data from the Longitudinal Aging Study in India (LASI: 2017–2018). Composite International Diagnostic Interview-Short Form (CIDI-SF) for depression, the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) for functional health, and the indoor/outdoor activities, visits, and religious events for social disengagement were used. The feelings of loneliness and living arrangements were measured using single-item questions and surveys/interviews of household members. Bivariate analysis, logistic regression, and a Partial Least Squares-Structural Equation Model were adopted. The results show that older persons with functional health had 1.85 times higher odds of depression; similarly, those not engaging in social activities and experiencing loneliness were more likely to feel depressed. Living with someone was negatively linked to depression. A significant moderation by living arrangements in the functional health-depression relationship was also observed. The results also indicate significant mediating roles of social disengagement and loneliness, with 22.0% and 3.08% mediation effects, respectively. Therefore, this study recommends the provision of housing and social interaction among older people.

Abstract Introduction Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender. Methods Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017–18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09–1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18–1.43), and household indoor smoking (AOR 1.17 (1.07–1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15–1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15–1.61) than females (AOR 1.21; 1.08–1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure. Conclusion This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states.

PurposeMethodsResultsConclusionsThe aim of the study was to estimate the prevalence of diagnosed vision problems and to examine the association of single and multiple chronic conditions with vision problems among middle-aged and older adults in India.The study utilized data from the Longitudinal Ageing Study in India (LASI) Wave 1, (2017–18). Descriptive statistics along with bivariate and multivariable analyses were conducted to achieve the study objectives.The prevalence of diagnosed vision problems in the sampled population was 48.2%. The older adults (60+ years) (55.3%) had shown a greater prevalence of vision problems than the middle-aged individuals (41%). Among chronic conditions, hypertension, diabetes, chronic lung diseases, chronic heart diseases, bone related diseases, psychiatric disorders, and high cholesterol were significantly associated with vision problems in the case of both middle-aged and older adults. Furthermore, odds of experiencing vision problems according to the presence of multimorbidity were higher in the middle-aged population [adjusted odds ratio (AOR) = 1.986; confidence interval (CI):1.855–2.126] than in the older population [AOR = 1.746; CI:1.644–1.854].Middle-aged and older adults with chronic illnesses and multimorbidity were at greater risk of vision problems. Due to the high prevalence of vision problem, interventions aimed at prevention or early detection are warranted. [ABSTRACT FROM AUTHOR]

Few studies have focused sufficiently on the intricate link between functional health and depression among older people aged 60 and above in India. Therefore, the current study investigates the association between functional health and depression among older Indian adults through the mediating role of social disengagement and loneliness and the moderating role of living arrangements using recent data from the Longitudinal Aging Study in India (LASI: 2017–2018). Composite International Diagnostic Interview-Short Form (CIDI-SF) for depression, the Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) for functional health, and the indoor/outdoor activities, visits, and religious events for social disengagement were used. The feelings of loneliness and living arrangements were measured using single-item questions and surveys/interviews of household members. Bivariate analysis, logistic regression, and a Partial Least Squares-Structural Equation Model were adopted. The results show that older persons with functional health had 1.85 times higher odds of depression; similarly, those not engaging in social activities and experiencing loneliness were more likely to feel depressed. Living with someone was negatively linked to depression. A significant moderation by living arrangements in the functional health-depression relationship was also observed. The results also indicate significant mediating roles of social disengagement and loneliness, with 22.0% and 3.08% mediation effects, respectively. Therefore, this study recommends the provision of housing and social interaction among older people. [ABSTRACT FROM AUTHOR]

Introduction: Anaemia is a disease of public health importance with multi-causal pathways. Previous literature suggests the role of indoor air pollution (IAP) on haemoglobin levels, but this has been studied less due to logistic constraints. A high proportion of the population in developing countries, including India, still depends on unclean fuel, which exacerbates IAP. The objective was to study the association between anaemia and IAP among the older Indian adult population (≥ 45 years) as per gender. Methods: Our study analysed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017–18, Wave-1). We have documented the association of anaemia (outcome variable) with IAP (explanatory variable). To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was conducted. States and union territories were categorised cross tabulated as low, middle and high as per anaemia and IAP exposure. P value < 0.05 was considered statistically significant. SATA version 17 was used for analysis. Results: More than half (52.52%) of the participants were exposed to IAP (male (53.55%) > female (51.63%)). The odds of having anaemia was significantly 1.19 times higher (AOR 1.19 (1.09–1.31)) among participants using unclean/ solid fuel. The adjusted odds were significantly higher among participants exposed to pollution-generating sources (AOR 1.30; 1.18–1.43), and household indoor smoking (AOR 1.17 (1.07–1.29). The odds of having anaemia were significantly higher (AOR 1.26; 1.15–1.38) among participants exposed to IAP, which was higher in males (AOR 1.36; 1.15–1.61) than females (AOR 1.21; 1.08–1.35). Empowered Action Group (EAG) states like Uttar Pradesh, Chhattisgarh, Madhya Pradesh, Bihar had both high anaemia and IAP exposure. Conclusion: This study established the positive association of anaemia with indoor air pollution among older Indian adults through a nationally representative large dataset. The association was higher among men. Further research is recommended to understand detailed causation and to establish temporality. It is a high time to implement positive intervention nationally to decrease solid/ unclean fuel usage, vulnerable ventilation, indoor smoking, IAP and health hazards associated with these with more focused actions towards EAG states. [ABSTRACT FROM AUTHOR]

Abstract 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.

India experienced a growing burden of elderly population associated with both physical and mental health challenges. Among the mental health problems, dementia, depression, anxiety and sleep disorder are of significant concern. This present study investigates the association between the types of living arrangement and the mental health of elderly in India. Comparison has been done between empty nest and non-empty nest elderlies. Data from first wave of Longitudinal Aging Study in India (2017–18) has been used. It is a nationally representative data which collected data from over 72,000 individuals aged 45 and above and their spouses irrespective of age. We used the Center for Epidemiological Studies Depression Scale (CES‐D) to measure depression while living arrangement was self-reported by the respondents. Univariate and multivariate analyses were carried out to find significant association of the outcome and independent variables. Among the total elderlies, 11% were from empty nest single households, 20% were from empty nest couple households and others were from the non-empty households. At national level, 30% elderly suffered from depression. It was more among the elderly of empty nest single households (43%), compared to elderly of empty nest couple households (30%) and non-empty nest households (28%). Gender, socio economic status, self-rated health status, financial stability, place of residence plays a crucial role in the experience of depression among the elderlies. Results portray that household structure, especially living arrangement and familial support in old age can be associated with the overall health and wellbeing, more specifically depressive symptoms among the elderly. [ABSTRACT FROM AUTHOR]

Background: Quorum sensing (QS) controls the virulence of P. aeruginosa. This study aims to determine the anti-QS activity of aspirin alone and in combination with chitosan to reach maximum inhibition. We tested ten virulent Pseudomonas aeruginosa (P. aeruginosa) isolates and screened for N-acyl homoserine lactone (AHL) production using Agrobacterium tumefaciens as a biosensor. P. aeruginosa isolates were treated with sub-minimum inhibitory concentrations (MICs) of aspirin and chitosan–aspirin. We used broth microdilution and checkerboard titration methods to determine the MICs and the synergistic effect of these two compounds, respectively. Real-time polymerase chain reaction (PCR) was used to estimate the anti-QS activity of the aspirin–chitosan combination on the expression of lasI and rhlI genes. Results: Aspirin decreased the motility and production of AHLs, pyocyanin, and biofilm. Chitosan potentiated the inhibitory effect of aspirin. The chitosan–aspirin combination inhibited lasI and rhlI gene expression in PAO1 (ATCC 15692) by 7.12- and 0.92-fold, respectively. In clinical isolates, the expression of lasI and rhlI was decreased by 1.76 × 102- and 1.63 × 104-fold, respectively. Molecular docking analysis revealed that aspirin could fit into the active sites of the QS synthases lasI and rhlI with a high binding affinity, causing conformational changes that resulted in their inhibition. Conclusions: The chitosan–aspirin combination provides new insights into treating virulent and resistant P. aeruginosa. [ABSTRACT FROM AUTHOR]

The rapid growth of the elderly in India has raised research questions about their quality of life, health, and social support. The current study aims to understand the factors influencing older adults' self-rated health (SRH), focusing on religiosity and spirituality in India. The present study used data from India's Longitudinal Ageing Study's first wave (LASI), 2017–18. The levels of poor SRH decreased with an increasing degree of religious and spiritual participation. In the present study, religious attendance was a significant predictor of SRH among Christians, Muslims, and Hindus. Spirituality was found to be a significant predictor of SRH only among Hindus. Besides [prayer, participation in religious services and mediation], age, sex, place of residence, level of education, daily living activities, and chronic illness status were significant predictors of SRH. The current study also showed that older people have a significantly high incidence of poor SRH, regardless of their spiritual and religious backgrounds. There is a need to focus on elderly-friendly health and social care policies and programs considering socio-cultural aspects to minimize the burden of poor SRH. [ABSTRACT FROM AUTHOR]

The underweight status among older adults in India and its association with other health risks has received little attention. Using nationally representative data from the first wave of the Longitudinal Aging Study in India (LASI, 2017-18), this study examined the underweight status among the Indian older adults and investigated its relationship with various health outcomes. The effective sample size of this study was 28,050 older adults aged 60 years or above. Multivariable logistic and linear regression models were employed to meet the objectives of the study. Underweight status was found to be negatively associated functional health, cognitive function, and grip strength. However, no significant association was observed between underweight status and depressive symptoms. Moreover, socioeconomic, demographic, and geographic factors were identified as strong determinants of underweight status among Indian older adults. India has implemented a wide range of nutrition policies that primarily focus on children, mothers, and adolescents. While these policies are important, it is equally crucial to develop interventions specifically tailored for adults and older adults. [ABSTRACT FROM AUTHOR]

Introduction: Cataracts are the leading cause of blindness among older people, but they can be treated with corrective surgery. India boasts the oldest blindness control programme in the world. We aimed to assess the prevalence of cataract surgery, and we compared the determinants of undergoing cataract surgery and identified the unmet needs for cataract surgery among older adults in India. Methods: We included 52,380 individuals aged =50 years from the Longitudinal Ageing Study in India, wave-1. The primary outcome measures of our study were the prevalence of cataract surgery and the unmet need for cataract surgery. Multivariate analysis was executed to investigate the association between socio-demographic variables and outcomes, expressing the results as adjusted odds ratios with 95% confidence intervals (CIs). Results: The overall prevalence of cataracts was 14.85%. The coverage of cataract surgery was 76.95%, with 23% having unmet needs for cataract surgery. Notably, cataract surgery coverage was higher at 78.30% (95% CI: 76.88-79.48) among participants aged 66-80 years, while the percentage of those who did not undergo cataract surgery was higher at 24.62% (95% CI: 23.09-26.20) among participants aged 50-60 years. The most deprived group had a higher odds ratio [adjusted odds ratio: 1.20 (95% CI: 1.00-1.44)] (p < 0.05) of having unmet needs for cataract surgery. Conclusions: There is a considerable burden of age-related cataracts in India. While the coverage of cataract surgery is high, the unmet need for cataract surgery cannot be overlooked. The existing blindness control programme has contributed significantly to increasing the coverage of cataract surgery, but it still needs to be strengthened, especially to reach the most deprived sections of society. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Elder abuse is a multifaceted public health issue. The aim of this study is to provide a concise overview of elder abuse among adults age 60 and above, at the national and state levels in India. The main objective of this research is to examine the prevalence and determinants of elder abuse in light of the latest available data, with an emphasis on working status of older adults. Further, we explore the relative importance of distinctive factors explaining the gendered differential in elder abuse. This study also suggests some strategies to address the problem of elder abuse. Data from the 2020 Longitudinal Ageing Study in India indicates that although the overall prevalence of elder abuse is relatively low in India (5.22%), wide state-level variations prevail. Women, working older adults (especially working women), those under the age of 70, those with greater household assets, those not in a marital union, those staying in rural areas, and those in poor health have significantly higher chances of abuse than their counterparts. Both wealth and education must reach a critical level to curb abuse. Differences in economic factors explain only 10% of the gender gap in elder abuse prevalence. Sociodemographic factors alone account for around 29%, and health-related factors contribute to 28% of the gender differential in elder abuse. We argue for widespread protective policies and targeted program interventions to address elder abuse in India. [ABSTRACT FROM AUTHOR]

BackgroundCataract is a leading cause of global blindness, affecting around 33% of blind individuals worldwide. It significantly impacts individuals’ well-being, independence, and quality of life, posing a substantial economic burden. India’s rapidly ageing population necessitates an examination of cataract prevalence and treatment disparities. No attempts have been made to address socioeconomic variation in treatment disparities of effective cataract treatment coverage among older adults in India.Data and methodThis study utilises data from the Longitudinal Ageing Study of India (LASI) conducted in 2017–18, that covered, 73,396 individuals aged 45 and above. Logistic regression, univariate, and bivariate analyses were employed to understand the variation of cataract and their associations with various demographic factors. Visual acuity tests and self-reported cataract data were used.ResultsThe prevalence of cataract among older adults in India was 14.25%, with higher rates among females and the older adult. Socioeconomic disparities werelarge, with lower prevalence among those with higher education and urban residence. Despite the effectiveness of cataract surgery, disparities in treatment access and effective coverage persisted. Approximately 27.52% of older adults did not receive cataract treatment, and those who received out of them 28% did not receive effective treatment. The effective treatment was lower among female, less educated, and poor.ConclusionCataract remains a significant public health concern in India, particularly among older adults. The study highlights the importance of addressing socioeconomic disparities in cataract treatment access and quality of care. Targeted interventions are needed to bridge these gaps, ultimately improving visual health outcomes and well-being among older adults in India.

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.

Abstract Background Existing studies have used ADL and IADL separately as measures of dependency. However, dependency is a heterogeneous and complex issue, and the dependency of each older adult is a synergistic combination of several functional activities. In this study, we assess the pattern of multidimensional dependency of older adults based on ADL, IADL, visual impairment, difficulty in climbing a flight of stairs, pushing or pulling objects, depressive symptoms, cognitive impairment, marital status, and economic distress. It is important to classify the dependency status of older adults because this will be key to evaluating the needs for care, and plan services that effectively cater for the needs of the older adults. The classification into different latent classes means that older adults within each class have the same needs of dependency but different needs between the latent classes. Our objective is to identify patterns of multidimensional dependency in older adults. Methods Data from the Longitudinal Ageing Study in India (LASI) Wave-1, was used, the analytical sample consisted of 32,827 individuals of age 45 years and above. LCA was used to identify the multidimensional dependency class. LCA was conducted in R statistical package, using the poLCA package. The optimal number of classes was selected based on the comparison of model fit statistics. Independent variables were incorporated to explore the association between these variables and the latent class. Results Based on nine indicator variables, three latent classes were identified: “Active Older adults”, “Moderately independent” and “Psychological and physically impaired”. The “Active older adults” profile is comprised of older adults who have a very low probability of needing help for any ADL, IADL and other activities. The “Moderately independent” class were characterized as those older adults who were visually impaired but less likely to need help for IADL activities. The “Psychological and physically impaired”, the smallest of all classes, comprised of older adults with poor dependency status. Conclusions In this study, we found that the dependency status of older adults which is based on several domains of functional activity has been classified into three distinct classes. These three classes have distinct physical, psychological, economic, and socio-demographic characteristics in terms of activities in which help is required.

Abstract Background The current demographic transition has resulted in the growth of the older population in India, a population group which has a higher chance of being affected by multimorbidity and its subsequent healthcare and economic consequences. However, little attention has been paid to the dual effect of mental health conditions and physical multimorbidity in India. The present study, therefore, aimed to analyse the moderating effects of mental health and health insurance ownership in the association between physical multimorbidity and healthcare utilisation and catastrophic health expenditure (CHE). Methods We analysed the Longitudinal Aging Study in India, wave 1 (2017–2018). We determined physical multimorbidity by assessing the number of physical conditions. We built multivariable logistic regression models to determine the moderating effect of mental health and health insurance ownership in the association between the number of physical conditions and healthcare utilisation and CHE. Wald tests were used to evaluate if the estimated effects differ across groups defined by the moderating variables. Results Overall, around one-quarter of adults aged 45 and above had physical multimorbidity, one-third had a mental health condition and 20.5% owned health insurance. Irrespective of having a mental condition and health insurance, physical multimorbidity was associated with increased utilisation of healthcare and CHE. Having an additional mental condition strengthened the adverse effect of physical multimorbidity on increased inpatient service use and experience of CHE. Having health insurance, on the other hand, attenuated the effect of experiencing CHE, indicating a protective effect. Conclusions The coexistence of mental health conditions in people with physical multimorbidity increases the demands of healthcare service utilisation and can lead to CHE. The findings point to the need for multidisciplinary interventions for individuals with physical multimorbidity, ensuring their mental health needs are also addressed. Our results urge enhancing health insurance schemes for individuals with mental and physical multimorbidity.

Abstract Background In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts. Methods This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017–18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study’s objectives. Results The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas. Conclusions We found significant rural–urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.

Background: Existing studies have used ADL and IADL separately as measures of dependency. However, dependency is a heterogeneous and complex issue, and the dependency of each older adult is a synergistic combination of several functional activities. In this study, we assess the pattern of multidimensional dependency of older adults based on ADL, IADL, visual impairment, difficulty in climbing a flight of stairs, pushing or pulling objects, depressive symptoms, cognitive impairment, marital status, and economic distress. It is important to classify the dependency status of older adults because this will be key to evaluating the needs for care, and plan services that effectively cater for the needs of the older adults. The classification into different latent classes means that older adults within each class have the same needs of dependency but different needs between the latent classes. Our objective is to identify patterns of multidimensional dependency in older adults. Methods: Data from the Longitudinal Ageing Study in India (LASI) Wave-1, was used, the analytical sample consisted of 32,827 individuals of age 45 years and above. LCA was used to identify the multidimensional dependency class. LCA was conducted in R statistical package, using the poLCA package. The optimal number of classes was selected based on the comparison of model fit statistics. Independent variables were incorporated to explore the association between these variables and the latent class. Results: Based on nine indicator variables, three latent classes were identified: "Active Older adults", "Moderately independent" and "Psychological and physically impaired". The "Active older adults" profile is comprised of older adults who have a very low probability of needing help for any ADL, IADL and other activities. The "Moderately independent" class were characterized as those older adults who were visually impaired but less likely to need help for IADL activities. The "Psychological and physically impaired", the smallest of all classes, comprised of older adults with poor dependency status. Conclusions: In this study, we found that the dependency status of older adults which is based on several domains of functional activity has been classified into three distinct classes. These three classes have distinct physical, psychological, economic, and socio-demographic characteristics in terms of activities in which help is required. [ABSTRACT FROM AUTHOR]

Background: In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts. Methods: This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017–18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives. Results: The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas. Conclusions: We found significant rural–urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities. [ABSTRACT FROM AUTHOR]

Background: The current demographic transition has resulted in the growth of the older population in India, a population group which has a higher chance of being affected by multimorbidity and its subsequent healthcare and economic consequences. However, little attention has been paid to the dual effect of mental health conditions and physical multimorbidity in India. The present study, therefore, aimed to analyse the moderating effects of mental health and health insurance ownership in the association between physical multimorbidity and healthcare utilisation and catastrophic health expenditure (CHE). Methods: We analysed the Longitudinal Aging Study in India, wave 1 (2017–2018). We determined physical multimorbidity by assessing the number of physical conditions. We built multivariable logistic regression models to determine the moderating effect of mental health and health insurance ownership in the association between the number of physical conditions and healthcare utilisation and CHE. Wald tests were used to evaluate if the estimated effects differ across groups defined by the moderating variables. Results: Overall, around one-quarter of adults aged 45 and above had physical multimorbidity, one-third had a mental health condition and 20.5% owned health insurance. Irrespective of having a mental condition and health insurance, physical multimorbidity was associated with increased utilisation of healthcare and CHE. Having an additional mental condition strengthened the adverse effect of physical multimorbidity on increased inpatient service use and experience of CHE. Having health insurance, on the other hand, attenuated the effect of experiencing CHE, indicating a protective effect. Conclusions: The coexistence of mental health conditions in people with physical multimorbidity increases the demands of healthcare service utilisation and can lead to CHE. The findings point to the need for multidisciplinary interventions for individuals with physical multimorbidity, ensuring their mental health needs are also addressed. Our results urge enhancing health insurance schemes for individuals with mental and physical multimorbidity. [ABSTRACT FROM AUTHOR]

IntroductionCataracts are the leading cause of blindness among older people, but they can be treated with corrective surgery. India boasts the oldest blindness control programme in the world. We aimed to assess the prevalence of cataract surgery, and we compared the determinants of undergoing cataract surgery and identified the unmet needs for cataract surgery among older adults in India.MethodsWe included 52,380 individuals aged ≥50 years from the Longitudinal Ageing Study in India, wave-1. The primary outcome measures of our study were the prevalence of cataract surgery and the unmet need for cataract surgery. Multivariate analysis was executed to investigate the association between socio-demographic variables and outcomes, expressing the results as adjusted odds ratios with 95% confidence intervals (CIs).ResultsThe overall prevalence of cataracts was 14.85%. The coverage of cataract surgery was 76.95%, with 23% having unmet needs for cataract surgery. Notably, cataract surgery coverage was higher at 78.30% (95% CI: 76.88–79.48) among participants aged 66–80 years, while the percentage of those who did not undergo cataract surgery was higher at 24.62% (95% CI: 23.09–26.20) among participants aged 50–60 years. The most deprived group had a higher odds ratio [adjusted odds ratio: 1.20 (95% CI: 1.00–1.44)] (p

Abstract Background There have been few investigations on the association between depression and benign prostatic hyperplasia (BPH). This study aims to explore the correlation between depression and BPH among middle-aged and older men in India. Methods We utilized data from male individuals aged 45 years and older who participated in the initial wave (2017–2018) of the Longitudinal Aging Study in India (LASI). The presence of BPH symptoms was based on self-reported information, while depressive symptoms were evaluated using CESD-10. The analysis was a cross-sectional study conducted on a final sample size of 30,108 male participants. To examine associations, we employed multivariate logistic regression analysis along with subgroup analysis and interaction tests. Results A total of 439 (1.46%) men reported BPH and had a higher depression score (10.18 ± 4.22 vs. 9.28 ± 4.00). The findings indicated a significant association between the depression score and the likelihood of developing BPH, even after accounting for all potential confounding variables (OR = 1.054, 95% CI: 1.030–1.078, p

Abstract Background Relatively little is known about how sleep disorders affect frailty of seniors. The study uses Fried's frailty index, to investigate the relationship between sleep disorder and frailty among older Indian adults. Methods The study analysed Longitudinal Ageing Study in India (2017–18) data which uses a multistage stratified area probability cluster sampling design. The association between frailty was studied for which the total sample size was 31,902. The principal dependent variable was frailty. Descriptive statistics and cross-tabulation were presented in the study. A binary logistic regression analysis was used to fulfil the study objectives to find the possible association. Results The prevalence of frailty in India was 21.3 percent. Older adults with sleep disorder had 66 percent higher likelihood to be frail than their counterparts. The benefits of physical activity in containing frailty is huge, the association were quite high. Poor Self-rated health was significantly associated with higher frailty (OR = 1.73; CI = 1.47–2.04). Conclusions Frailty is an enormously growing public health issue and has bi-directional relation with sleep disorders. The study has clinical relevance since sleep complaints offer a means for identifying those who are vulnerable to frailty and through appropriate intervention, the causes of sleep disorder would help to delay and in some cases reverse frailty.

Hypertension has become a global health concern and is recognized as an important modifiable risk factor for cardiovascular diseases (CVDs). There are very limited studies in India and worldwide focused on sleep problems, activities of daily living (ADL), instrumental ADL (IADL) and mobility limitations, and their discrete and combined effects on hypertension. Therefore, this study examined whether sleep problems are associated with hypertension, and whether the association is more pronounced among middle-aged and older adults with functional/mobility limitations. This study used data from the Longitudinal Ageing Study in India (LASI) wave 1, 2017–18, with a total sample of 59,951 adults aged 45 years and above. Log-binomial regression, and interaction terms were used to assess the relationship between sleep problems and hypertension, and the moderating effect of functional/mobility limitations. Respondents with sleep problems had a 29 % higher prevalence of hypertension [PR (prevalence ratio): 1.29; CI (confidence interval): 1.20–1.39]. Those with ADL and IADL limitations had 20 % [PR: 1.20; CI: 1.09–1.32] and 9 % [PR: 1.09; CI: 1.00–1.18] greater prevalence of hypertension. Interaction analysis revealed that individuals with ADL, IADL, and mobility limitations had 58 %, 52 %, and 45 % higher prevalence of hypertension, respectively, and was especially pronounced among women. Our findings highlight that improved sleep can reduce the prevalence of hypertension in middle-aged and older adults. Individuals with functional/mobility limitations may need additional care and support from their family members or the community, which could lower the prevalence of elevated blood pressure due to their sleep problems.

The migration of adult children can have beneficial and adverse effects on the health outcomes of elderly parents left behind. This study examines the effects of adult children's migration on self-rated health and depression among older parents using Longitudinal Ageing Study in India (LASI) 2017-18 with 19,401 individuals aged 60 years or older. Binary logistic regression models were performed to determine the association of self-rated health and depression with adult-child migration status while adjusting for living arrangements and socioeconomic factors. Results show that 36 percent of older parents have at least one migrant child, and 35 percent are empty nesters. Older adults living with their children experience positive impacts on their physical and mental health. Our study reveals that empty-nested elderly have a higher prevalence of poor self-rated health and depression. Irrespective of migrant children, the availability of children in the household matters most regarding parents' health care, as our study suggests no significant difference in physical and mental health among left-behind and non-left-behind older parents. This study aims to draw policymakers' attention to the impact of adult children or youth migration on older parents' physical and mental health. To address this issue, policies should prioritize raising awareness among migrant children of older adults about the importance of maintaining frequent contact and visiting their aging parents.

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.

Background: There have been few investigations on the association between depression and benign prostatic hyperplasia (BPH). This study aims to explore the correlation between depression and BPH among middle-aged and older men in India. Methods: We utilized data from male individuals aged 45 years and older who participated in the initial wave (2017–2018) of the Longitudinal Aging Study in India (LASI). The presence of BPH symptoms was based on self-reported information, while depressive symptoms were evaluated using CESD-10. The analysis was a cross-sectional study conducted on a final sample size of 30,108 male participants. To examine associations, we employed multivariate logistic regression analysis along with subgroup analysis and interaction tests. Results: A total of 439 (1.46%) men reported BPH and had a higher depression score (10.18 ± 4.22 vs. 9.28 ± 4.00). The findings indicated a significant association between the depression score and the likelihood of developing BPH, even after accounting for all potential confounding variables (OR = 1.054, 95% CI: 1.030–1.078, p < 0.00001). The participants were then categorized into a depression group and a normal group based on their CESD-10 score, using a threshold of 10 to ascertain the existence or nonexistence of depression. After adjusting for all variables in model IV, the findings continued to exhibit statistical significance (OR = 1.611, CI: 1.327–1.955, p < 0.00001). Significant interaction effects of age, education level, caste or tribe, and alcohol consumption were observed (p for interaction < 0.05). Conclusion: Our research found that BPH was significantly linked to the presence of depressive symptoms among middle-aged and elderly Indian men. Additional prospective research is necessary to clarify this association and investigate potential mechanisms. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Globally, hypertension among mid & old aged population is considered a severe chronic health issue. The latest LASI (longitudinal ageing study in India) wave data shows that in the northern region of India, middle-aged and elderly population have a higher prevalence of hypertension than in other parts of the country. Thus, this study aims to identify the risk factors for hypertension among the mid & old aged population of north India.This study has utilised the first wave of LASI secondary data. A total of 11476 respondents have been considered for this study. The Binary logistic regression model has been administered to determine the associated risk factors of hypertension among mid and old aged population. Our result shows that the higher odd ratios of hypertension found among respondents above 60 years old (OR = 1.55, 95%, CI = 1.38–1.73), urban dwellers (OR = 1.30, 95%, CI = 1.15–1.47), female respondents (OR = 1.56, 95%, CI = 1.33–1.81), diabatic respondents (OR = 2.86, 95%, CI = 2.41–3.40), richer respondents (OR = 1.56, 95%, CI = 1.29–1.89), non-Hindu religious groups (OR = 1.49, 95%, CI = 1.32–1.59), and depressed respondents (OR = 1.38, 95%, CI = 1.20–1.60). Therefore, formulating strategic policy to reduce the hypertension problem among mid & old-aged populations should be prioritised. [ABSTRACT FROM AUTHOR]

Highlights • Little is known about sociodemographic and geographic inequalities in the diagnosis and treatment of chronic illness among middle-aged and older adults in India. • Self-reported diagnosed chronic conditions are more prevalent among socially advantaged groups but the disadvantaged are more likely to be untreated. • To ensure more equitable treatment of chronic conditions, efforts to improve access should be directed towards poorer, less educated, and ruralolder people.

Background: Quorum sensing (QS) controls the virulence of P. aeruginosa. This study aims to determine the anti-QS activity of aspirin alone and in combination with chitosan to reach maximum inhibition. We tested ten virulent Pseudomonas aeruginosa (P. aeruginosa) isolates and screened for N-acyl homoserine lactone (AHL) production using Agrobacterium tumefaciens as a biosensor. P. aeruginosa isolates were treated with sub-minimum inhibitory concentrations (MICs) of aspirin and chitosan–aspirin. We used broth microdilution and checkerboard titration methods to determine the MICs and the synergistic effect of these two compounds, respectively. Real-time polymerase chain reaction (PCR) was used to estimate the anti-QS activity of the aspirin–chitosan combination on the expression of lasI and rhlI genes. Results: Aspirin decreased the motility and production of AHLs, pyocyanin, and biofilm. Chitosan potentiated the inhibitory effect of aspirin. The chitosan–aspirin combination inhibited lasI and rhlI gene expression in PAO1 (ATCC 15692) by 7.12- and 0.92-fold, respectively. In clinical isolates, the expression of lasI and rhlI was decreased by 1.76 × 102- and 1.63 × 104-fold, respectively. Molecular docking analysis revealed that aspirin could fit into the active sites of the QS synthases lasI and rhlI with a high binding affinity, causing conformational changes that resulted in their inhibition. Conclusions: The chitosan–aspirin combination provides new insights into treating virulent and resistant P. aeruginosa.

Background: The comorbidity of diabetes and depression poses a major challenge to older adults. While a few small scale studies have investigated the diabetes associated risk of experiencing depression, there is no national-level study available for India on the same. In this context, this study estimates the burden and risk of depression due to diabetes among older adults aged 45 and above in India while adjusting for socio-economic and demographic characteristics of the individuals. Methods: Longitudinal Ageing Study in India (LASI), 2017–2018 wave 1 data was utilised in this study. The prevalence of depression and diabetes were estimated by background characteristics using bivariate cross-tabulation. In addition, multivariate logistic regression was applied to examine the likelihood of depression associated with diabetes and other covariates. Result: Empirical estimation demonstrated that 14% of males and 8% of females with diabetes suffer from depression in the 45–59 age group. A diabetic person aged 45 and above was 16% more likely to suffer from depression than a non-diabetic person; whereas, a diabetic elderly aged 60 and above was 24% more likely to experience depression than their non-diabetic counterparts. The multivariate analysis confirmed a highly statistically significant association between diabetes and depression indicating a substantial risk to experience depression among those older adults and elderly who suffer from diabetes. Conclusion: Elderly population (60 +) is at higher risk of experiencing depression due to diabetes. Therefore, public health care awareness should be raised, particularly among endocrinologists or specialist doctors who provide treatment at the tertiary-care hospitals in India. The health care experts should refer/recommend the diabetic patients to screen for depressive symptoms. [ABSTRACT FROM AUTHOR]

Lasi is one of the minor languages of Pakistan, but widely spoken language of Lasbela, Balochisan. Lasi has been one of dialects of Sindhi, which is spoken in different areas of Lasbela (Zahid, A., 2016; Ali, Z., Aliani, A. & Zafarullah, 2020; Ali, et al., 2021; Veesar & Mustafa, 2021). The current research aims to describe and analyse the properties of suffixation in Lasi nouns, verbs, and adjective in comparison with standard Sindhi. The research is a qualitative in nature, and it uses descriptive and analytical research designs. The data are collected through informal conversation (unstructured interviews) with native speakers of Lasi which were further reproduced and translated into Sindhi via Sindhi speakers for the purpose of comparison with standard Sindhi. The research has shown differences between the two languages; Sindhi and Lasi. Towards the end, it is found that Lasi and Sindhi differ from each other in the use of postpositional suffixes: Sindhi uses a separate postpositional word to show the position while Lasi uses them with nouns, e.g., 'm', 'k','t'. They also differ in use of suffixation in formation of oblique forms of nouns. The research has also explored the similarities between the two languages, such as, no difference in the use of suffixes in Lasi and Sindhi in forming plural form of masculine feminine nouns. Both languages use 'yun' suffix to pluralize the feminine nouns and 'aa' sound for making masculines. [ABSTRACT FROM AUTHOR]

Abstract Objective This article aims to examine the level of life satisfaction (LS) among Indian older adults and to determine whether their living arrangement is one of the potential determinants of their level of LS. Methods Data was drawn from the first and most recent wave of Longitudinal Ageing Study in India conducted in 2017–18. Using the Satisfaction with Life Scale, the level of LS was assessed for 30,370 elderly aged 60 + . Bivariate analysis was carried out to see the variation in the level of LS across elderlies with different socio-demographic characteristics. To investigate the association between LS and living arrangements and the selected socio-demographic factors multinomial logistic regression model was fitted. Result The findings reveal that 25.4% and 45.5% of the elderlies have reported having a low and high level of LS, respectively. Living alone was associated with low level of LS. Co-residing with a spouse was associated with a higher likelihood of reporting high level of LS. The study also found that having both spouse and children as coresident increases the likelihood of reporting high level of LS (RRR = 3.15, 95%CI = 2.3–4.28). Elderly with self-reported poor health, limitation in more than two activities of daily living and presence of depressive symptoms were significantly associated with reporting low level of LS. However, being diagnosed with more than three chronic illnesses was associated with high level of LS (RRR = 1.41, 95%CI = 1.25–1.59). Older adults with the following characteristics were more likely to report a lower level of LS: male, 60–64 years old, no or few years of schooling, unmarried, working, rural resident, living in a poor household, Scheduled Caste and Tribe. Conclusion The level of life satisfaction in Indian older adults is significantly associated with their living arrangements, thus suggesting that the LS of older adults could be facilitated through interventions that consider their living arrangements. Older adults with various personal and household characteristics were identified as vulnerable groups, who should be the prime targets of the existing welfare policies.

Objective: Epidemiological studies on the prevalence and associated factors of cardiovascular diseases (CVDs) representative of all states of India among middle-aged and elderly are not much reported. The present study estimates the prevalence and associated factors of cardiovascular diseases across Indian states among men and women aged ≥45 years. Methods: We used data from the Longitudinal Ageing Study in India wave 1 (2017–2019), which included a final analytical sample size of 56,935 adults and their spouses aged 45 years and above. We estimated CVDs prevalence for sociodemographic and behavioural variables, and multivariable logistic regression was used to assess the association between behavioural factors and CVDs in both men and women. Results: The prevalence of CVDs was 5.2% among adults ≥45 years (women: 4.6%; men: 5.9%), hypertension was 46.7% (women:48.9%; men:44%). Men and women have a similar prevalence of diabetes (11.9%) and cholesterol (2.3%). Prevalence of physical inactivity was 30.3% (women:27%; men:34.1%). Hypertension (adjusted odds ratio; aOR women:2.60, 95% CI: 2.08–3.25, men:1.88, 95% CI 1.54–2.29), hypercholesterolemia (aOR women:1.70; 95% CI 1.07–2.69, men 3.55; 95% CI 2.66–4.74), diabetes (aOR women:2.53; 95% CI 1.83–3.51, men:1.77 95% CI 1.44–2.17), obesity, physical inactivity, and smoking in men were significantly associated with CVDs. Conclusion: The prevalence of CVDs and lifestyle risk factors among middle-aged and elderly poses severe concerns regarding noncommunicable disease (NCD) healthcare services provided in a lower-middle-income country like India. The key to preventing CVDs is controlling hypertension, diabetes, hypercholesterolemia, and increasing physical activity among adults aged ≥45 years.

Abstract Background In an ageing society, the provision of long-term care is the prime need. In Indian cultural setting, family members are the informal, albeit primary caregivers to the elderly. Caregiving demands intense emotional and financial involvement. While taking care of elderly persons’ health and wellbeing, these family members, acting as informal caregivers, may themselves become vulnerable to poor health due to additional stress and burden. Using a nationally representative survey, the study tried to identify how health condition varies within caregivers and a comparative analysis of how in similar socio-economic background health condition varies between caregivers and non-caregivers. Method The data, used for the analysis, is taken from Longitudinal Ageing Study in India (LASI), Wave I. Both descriptive and multivariable regression analysis are done in different models along with interaction effect of caregiving to understand the difference in health status between caregiver and non-caregivers. Results Nearly 29% and 11% of the informal caregivers, reported to have depressive symptoms and poor self-rated health (SRH), respectively. Almost half of the caregivers, who provide care for more than 40 h a week, are diagnosed to have depressive symptoms. They are also at higher risk of having depressive symptoms (AOR 1.59 CI 1.16–2.18) and poor SRH (AOR 1.73 CI 1.11–2.69) than those who invest less than 40 h in a week. In almost every socio-economic condition, caregivers are at a higher risk of having depression and poor health than non-caregivers. Caregivers, who are widowed, live in rural areas or are not satisfied with current living arrangement are more vulnerable to have depressive symptoms. On the other hand, caregivers of age 45–59 years, widowed, male and who live only with their children with spouse absent, have almost 2 times higher odds of poor SRH than non-caregivers. Conclusion Caregivers are more susceptible to depression and poor self-rated health compared to non-caregivers irrespective of their socio-economic characteristics, only the magnitude of vulnerability varies.

Abstract Background The majority of people in rural developing counties still rely on unclean and solid fuels for cooking, putting their health at risk. Adult and elderly women are most vulnerable due to prolonged exposure in cooking areas, and Indoor Air Pollution (IAP) may negatively impact their health and cognitive function. This study examines the effect of IAP on the cognitive function of middle-aged and elderly rural women in India. Methods The study utilized the data from the Longitudinal Ageing Study in India (LASI 2017–18, Wave-1). Bivariate analysis and multilevel linear regression models were applied to show the association between IAP and the cognitive abilities of rural women and results from regression were presented by beta coefficient (β) with 95% confidence interval (CI). Confounding factors such as age, education, health risk behaviours, marital status, monthly per capita consumption expenditure (MPCE), religion etc. were adjusted in the final model. Results The study found that 18.71 percent of the rural women (n = 3,740) lived in Indoor Air Pollution exposed households. IAP was significantly found to be associated with the cognitive functional abilities among the middle and older aged rural women. Middle and older aged rural women exposed to IAP had lower cognitive functional abilities than non-exposed women. Comparing to the non-exposed group, the cognitive score was worse for those exposed to IAP in both the unadjusted (β = -1.96; 95%CI: -2.22 to -1.71) and the adjusted (β = -0.72; 95%CI: -0.92 to -0.51) models. Elderly rural women from lower socioeconomic backgrounds were more likely to have cognitive impairment as a result of IAP. Conclusion Findings revealed that IAP from solid fuels could significantly affect the cognitive health of elderly rural women in India, indicating the need for immediate intervention efforts to reduce the use of solid fuels, IAP and associated health problems.

Abstract Background Due to the vast socioeconomic diversity among its residents, studying health inequality in India is of particular interest. This study aimed to investigate the wealth-based inequalities in physical frailty and to quantify the contributions of potential predictors of frailty to this inequality. Methods Data were drawn from the first wave of the Longitudinal Ageing Study in India (LASI) conducted during 2017–18. Logistic regression analysis was used to examine the association between wealth status and frailty. We used the concentration index to measure the magnitude of wealth-related inequality in frailty. A decomposition analysis based on the logit model was used to assess the contribution of each predictor to the total inequality. Results The prevalence of physical frailty was significantly higher among the older adults in the poor group than in the non-poor group [Difference (poor vs. non-poor): 6.4%; p

Context: Expeditious diagnosis and treatment of chronic conditions are critical to control the burden of non-communicable disease in low- and middle-income countries. We aimed to estimate sociodemographic and geographic inequalities in diagnosis and treatment of chronic conditions among adults aged 45 + in India. Methods: We used 2017–18 nationally representative data to estimate prevalence of chronic conditions (hypertension, diabetes, lung disease, heart disease, stroke, arthritis, cholesterol, and neurological) reported as diagnosed and percentages of diagnosed conditions that were untreated by sociodemographic characteristics and state. We used concentration indices to measure socioeconomic inequalities in diagnosis and lack of treatment. Fully adjusted inequalities were estimated with multivariable probit and fractional regression models. Findings: About 46.1% (95% CI: 44.9 to 47.3) of adults aged 45 + reported a diagnosis of at least one chronic condition and 27.5% (95% CI: 26.2 to 28.7) of the reported conditions were untreated. The percentage untreated was highest for neurological conditions (53.2%; 95% CI: 50.1 to 59.6) and lowest for diabetes (10.1%; 95% CI: 8.4 to 11.5). Age- and sex-adjusted prevalence of any diagnosed condition was highest in the richest quartile (55.3%; 95% CI: 53.3 to 57.3) and lowest in the poorest (37.7%: 95% CI: 36.1 to 39.3). Conditional on reported diagnosis, the percentage of conditions untreated was highest in the poorest quartile (34.4%: 95% CI: 32.3 to 36.5) and lowest in the richest (21.1%: 95% CI: 19.2 to 23.1). Concentration indices confirmed these patterns. Multivariable models showed that the percentage of untreated conditions was 6.0 points higher (95% CI: 3.3 to 8.6) in the poorest quartile than in the richest. Between state variations in the prevalence of diagnosed conditions and their treatment were large. Conclusions: Ensuring more equitable treatment of chronic conditions in India requires improved access for poorer, less educated, and rural older people who often remain untreated even once diagnosed. Highlights: • Little is known about sociodemographic and geographic inequalities in the diagnosis and treatment of chronic illness among middle-aged and older adults in India. • Self-reported diagnosed chronic conditions are more prevalent among socially advantaged groups but the disadvantaged are more likely to be untreated. • To ensure more equitable treatment of chronic conditions, efforts to improve access should be directed towards poorer, less educated, and ruralolder people. [ABSTRACT FROM AUTHOR]

Abstract Background Prevalence of hypertension increases with age, but there is a general perception in India that women are less affected at every stage of life, although empiric evidence hardly exists regarding gender difference in hypertension in Indians of different ages. Therefore, we aimed to examine the gender difference in hypertension among Indians across various age-groups; and the contribution of variation in body mass index (BMI) to this difference. Methods Data were analysed after combining National Family Health Survey 4 (n = 294,584 aged 35–49 years) and Study of Ageing and Health wave 2 (n = 7118 aged 50 + years) datasets (NFHS-SAGE). Longitudinal Ageing Study of India (LASI) dataset (n = 65,900 aged > 45years) was analysed to replicate the results. Hypertension was defined if systolic and diastolic blood pressure was > 89 and/or > 139 respectively and/or if there was a history of anti-hypertensive medication. Descriptive summaries were tabulated and plotted to examine the gender difference in hypertension in various age-groups (35–39,40–44, 45–49, 50–54, 55–59, 60–64, 65–69, ≥ 70). Odds Ratios (ORs) from logistic regression models estimated the age gradient of hypertension and their male-female difference, adjusted for Body Mass Index (BMI). Results Males had a higher prevalence of hypertension up to 50 years; after that, females had higher rates. The estimates of age gradient, expressed as ORs, were 1.02 (1.02, 1.02) in males versus 1.05(1.05, 1.06) in females (p