Background There is lack of information on the magnitude of depression among elderly population in India. This systematic review and meta-analysis aimed to estimate the prevalence of depression among elderly population in India. Methods PubMed, Scopus, Web of Science, Embase, PsycINFO, IndMed, and Google Scholar were searched to identify articles reported community-based prevalence of depression among elderly population using screening tools. This study included the articles published during the years 1997 to 2016. Studies conducted in the special population groups, hospitals, reported only a subcategory of depression, and not specified the screening tool were excluded. Data were extracted from published reports and any missing information was requested from authors. Estimates were pooled using random-effects meta-analyses. Subgroup and sensitivity analysis were performed. The publication bias was evaluated by using Egger’s test and visual inspection of the symmetry in funnel plots. Results Fifty-one studies from 16 States of India were included as 56 datasets, which estimated the prevalence of depression among Indian elderly population as 34.4% (95% CI: 29.3–39.7). In sub-group analysis, the pooled prevalence was higher among females, rural populations, and in the eastern part of the country. Studies using non-probability sampling, and GDS and CES-D screening tool showed higher prevalence. Exclusion of the studies with sample size less than 100 and low-quality studies (score < 5/8) had no effect on the estimate of the prevalence. The studies that excluded dementia before assessment of depression had lower prevalence. Conclusion About one third elderly population of India suffered from depression with female preponderance. The estimates varied with type of study tool, geographic region, sampling methods, and presence of dementia. The pooled estimate should be interpreted with caution as the studies included in this review had varied methodological approach and screening tools. Electronic supplementary material The online version of this article (10.1186/s12889-019-7136-z) contains supplementary material, which is available to authorized users.

Background:Depression in the elderly has been emerged as a serious public health challenge in the developing countries. Elderly population with depression is on rise in India, but is not adequately addressed. This study was planned to ascertain the prevalence of depression among elderly in a rural population of Haryana and assess its socio-demographic correlates.Methods:This study was a community based, cross sectional study, which was conducted in Community Health Centre (CHC), Chiri of Rohtak district (Haryana, India). Of total 124 Anganwadi centres in study area, 10 were randomly selected. A total 500 elderly persons aged 60 years and above were randomly screened for depression. Long form of Geriatric Depression Scale (GDS- 30) was used with cut off score at 22. The Pearson’s Chi-squared test, student’s t test, and multiple logistic regression were used to assess the association of depression in the elderly with its risk factors.Result:In our study, the prevalence of depression in the elderly was 14.4% (95% CI: 11.6- 17.8). Mean age of study population was 68.5 ± 7.7 years. Depression in the elderly had significant association with female gender [OR=2.7 (95% CI 1.4- 5.0)], not being consulted for major decisions [OR=2.7 (95% CI 1.5- 4.7)], presence of any chronic morbidity [OR=2.4 (95% CI 1.3- 4.5)], spending day without doing any activity, work or hobby [OR=3.8 (2.1- 7.1)], and death of any close relative in the last 1 year [OR=2 (1.1- 3.7)] after adjustment of various factors.Conclusion:Our study revealed that the prevalence of depression in the elderly was 14.4% in a rural community of north India.

No abstract

No abstract

Background Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. MethodsWe used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FindingsIn 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73•7% (68•3 to 77•4) were classified as due to type 1 diabetes. The age-standardised death rate was 0•50 (0•44 to 0•58) per 100 000 population, and 15 900 (97•5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0•13 (0•12 to 0•14) per 100 000 population in the high SDI quintile, 0•60 (0•51 to 0•70) per 100 000 population in the low-middle SDI quintile, and 0•71 (0•60 to 0•86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r²=0•62). From 1990 to 2019, age-standardised death rates decreased globally by 17•0% (-28•4 to -2•9) for all diabetes, and by 21•0% (-33•0 to -5•9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13•6% [-28•4 to 3•4]) and for type 1 diabetes (-13•6% [-29•3 to 8•9]). Interpretation Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. Funding Bill & Melinda Gates Foundation.