Background Late-life depression (LLD) is considered as a prodrome to dementia and plays a major role in the development of long-term cognitive disabilities. We aimed to estimate the prevalence and correlates of LLD and cognitive impairment and to explore their associations among older adults in India. Methods Data for this study was derived from the Longitudinal Ageing Study in India (LASI) Wave 1 (2017-18). The total sample included 31,464 (15,098 male and 16,366 female) older individuals aged 60 years and above. Cognitive impairment measured from various domains derived from the cognitive module of the Health and Retirement Study (HRS), and major depression measured by the CIDI-SF (Composite International Diagnostic Interview- Short Form) were the outcome variables. Descriptive, bivariate, and multivariable analyses were performed to fulfill the objectives of the study. Results The overall prevalence of LLD and cognitive impairment for the current sample was 8.7% and 13.7 % respectively. Among older individuals who have rated their health status as poor were 2.59 times more likely to suffer from LLD [OR: 2.59, CI: 2.24–2.99] as compared to their counterparts. The older adults who had difficulty in activities of daily living (ADL) and instrumental activities of daily living (IADL) were 74% and 69 % more likely to suffer from LLD. Similarly, older adults who were depressed had higher odds of cognitive impairment [OR: 1.22, CI: 1.01–1.48] compared to their counterparts. Also, older adults who were depressed and belonged to rural areas were 2.58 times [AOR: 2.58, CI: 1.95–3.41] more likely to be cognitively impaired than those who were not depressed and resided in urban areas. Conclusions Depression is linked to an increased risk of cognitive decline and dementia; therefore, failing to diagnose and treat LLD in later life may have significant health implications. Moreover, treatment under the care of a cognitive neurologist or geriatric psychiatrist is recommended for people with LLD and cognitive disability due to both the disorders' complex existence.

ObjectiveThe study aims to explore the associations of elder abuse, crime victimhood and perceived safety with depression among older adults and examine the interactive effects of sex and place of residence in those associations.DesignA cross-sectional study was conducted using a large survey data.Setting and participantsThe study used data from the Longitudinal Ageing Study in India wave 1 (2017–2018). The effective sample size was 31 464 older adults (aged 60 years or older).Primary and secondary outcome measuresThe outcome variable was major depression, calculated using Short Form Composite International Diagnostic Interview. Descriptive statistics along with bivariate and multivariate analyses were performed to fulfil the objectives.Results5.22% of the older adults (n=1587) experienced abuse in the past 1 year. 1.33% of the older individuals (n=402) were victims of a violent crime, and 14.30% (n=1886) perceived an unsafe neighbourhood. Also, 8.67% of the older adults (n=2657) were suffering from depression. Older adults who were abused had 2.5 odds of suffering from depression (adjusted OR (AOR): 2.47, CI: 1.96 to 3.10) and victims of a violent crime were 84% more likely to be depressed (AOR: 1.84, CI: 1.15 to 2.95) compared with their counterparts. Besides, older individuals who perceived as living in unsafe neighbourhood were 61% more likely to be depressed (AOR: 1.61, CI: 1.34 to 1.93) compared with their counterparts. In the interaction analysis, older women who reported abuse had higher odds of suffering from depression (AOR: 3.27; CI: 2.34 to 4.57) compared with older men who were not abused. Similar result was found in older adults reporting abuse and residing in rural areas (AOR: 3.01, CI: 2.22 to 4.07) compared with those urban residents reporting no abuse.ConclusionsHealthcare providers should pay more attention to the mental health implications of elder abuse, crime victimhood and perceived safety to grasp the underlying dynamics of the symptomology of late-life depression.

Background India, being a developing country, presents a disquiet picture of maternal and neonatal mortality and morbidity. The majority of maternal and neonatal mortality could be avoided if the continuum of care (CoC) is provided in a structured pathway from pregnancy to the postpartum period. Therefore, this article attempted to address the following research questions: What is the level of completion along CoC for MNCH services? At which stage of care do women discontinue taking services? and what are the factors affecting the continuation in receiving maternal, newborn and child health (MNCH) services among women in India? Methods The study utilized the data from the National Family Health Survey (NFHS-4) conducted during 2015–16 in India. The analysis was limited to 107,016 women aged 15–49 who had given a live birth in the last 5 years preceding the survey and whose children had completed 1 year. Four sequential fixed effect logit regression models were fitted to identify the predictors of completion of CoC. Results Nearly 39% of women in India had completed CoC for maternal and child health by receiving all four types of service (antenatal care, institutional delivery, post-natal care and full immunization of their child), with substantial regional variation ranging from 12 to 81%. The highest number of dropouts in CoC were observed at the first stage with a loss of nearly 38%. Further, education, wealth index, and health insurance coverage emerged as significant factors associated with CoC completion. Conclusion The major barrier in achieving CoC for maternal and child health is the low utilization of ANC services in the first stage of the continuum and hence should be addressed for increasing CoC completion rate in the country. The gaps across all the levels of CoC indicate a need for increased focus on the CoC approach in India. A strategy should be developed that will connect all the components of MNCH avoiding dropouts and the MNCH provision should be standardized to provide services to every woman and child.

Objective:The study aimed to estimate the prevalence of depression and to explore the association of specific chronic conditions as well as multi-morbidity with depression among the older population. Method:The study utilized data from the Longitudinal Ageing Study in India Wave 1 (2017)(2018). The total sample size for the present study was 31,464 older adults aged 60 and above, including 14,931 males and 16,533 females. Descriptive statistics along with bivariate and multivariate analyses were performed to fulfil the objectives. Results:The overall prevalence of depression among the elderly population in India was 8.7%. Older women had shown a greater prevalence rate of depression than older men. Among chronic conditions, hypertension, stroke, and bone-related diseases were found to be significantly associated with depression in the case of both men and women. The prevalence of depression among older adults with three or more chronic conditions was higher in males (14.5%) than in females (11.2%). The association between the number of chronic conditions and depression exhibited a linear trend with an increased odds ratio indicating a higher risk of depression among older adults with multiple chronic conditions. Conclusion:Older individuals with a greater number of chronic illnesses have a higher risk of depression and the risk is proportional to the number of chronic conditions. This signifies the need for the identification of depressive symptoms at an early stage by focussing on the elderly suffering from chronic conditions and educating family members and the community about effective treatments and counselling.

Background: Metabolic syndrome is one of the most important risk factors that increase the likelihood of developing chronic diseases. Therefore, the aim of this study is to determine the prevalence of metabolic syndrome and its component as well as to find out the predictors in India. It has also tried to see the coexistence of metabolic syndrome and other morbid conditions. Methods: This study has utilized the secondary data collected in fourth round of National Family Health Survey (NFHS-4), which was conducted during 2015-2016 in India. Since this study is concentrated on metabolic syndrome among women and men, so various information regarding biomarker measurements and various socio-economic, demographic and lifestyle characteristics have been used. Appropriate bivariate and multivariate analysis have been done to carry out the results. Results: In this representative sample of Indian men, about 1.1% have met the International Diabetes Federation (IDF) criteria for metabolic syndrome whereas almost 1.5% women aged 15-49 have met this criteria. The results of multivariate analysis revealed that the risk of metabolic syndrome increase steadily with age and the risk is quite high among people belonging to higher wealth quintiles and postmenopausal period. Conclusion:Though this study has shown a comparatively lower prevalence of metabolic syndrome but at the same time it has highlighted some high prevalence for the components of metabolic syndrome. So emphasis should be focused on prevention, early detection of metabolic risk factors and treatment of its components that will have a significant impact on future adult health.