Since untreated or undertreated late-life mental disorders is associated with grave consequences including poor quality of life and increased mortality rates, this study investigates the associated factors of psychiatric disorders and its treatment seeking among older adults in India. Data for this study were derived from the Longitudinal Ageing Study in India (LASI) conducted during 2017–2018. The effective sample size was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were used to present the preliminary results. Chi-square test was used to find the significance level for bivariate association. Additionally, the Heckprobit selection model was employed to fulfil the objectives. It was revealed that about 2.8% of older adults had psychiatric disorder and of those who were suffering from psychiatric disorder, 41.3% (out of 2.8%) sought medical treatment. It was found that older adults who ever worked but currently not working, who had low level of life satisfaction, had poor self-rated health, had difficulty in activities of daily living (ADL) and instrumental ADL and had symptoms of psychological distress had higher probability of suffering from psychiatric disorder in reference to their counterparts. Older adults from oldest-old age group, who were females, from poorest wealth quintile, from Scheduled Tribe and from eastern region had lower probability of seeking treatment for psychiatric disorder in reference to their counterparts. The findings of the present study urge that greater attention be devoted at detecting and preventing late-life psychiatric disorder particularly among those who are at greater risk vis., male gender, working status as “ever worked but currently not working”, having low life satisfaction, poor SRH, ADL and IADL difficulties, higher psychological distress, belonging to higher wealth quintile and rural place of residence.

ObjectiveThe present study aimed to examine the associations of several indicators of food insecurity with depression among older adults in India.DesignA cross-sectional study was conducted using country-representative survey data.Setting and participantsThe present study uses data of the Longitudinal Aging Study in India conducted during 2017–2018. The effective sample size for the present study was 31 464 older adults aged 60 years and above.Primary and secondary outcome measuresThe outcome variable was major depression among older adults. Descriptive statistics along with bivariate analysis was presented. Additionally, binary logistic regression analysis was used to establish the association between the depression and food security factors along with other covariates.ResultsThe overall prevalence of major depression was 8.4% among older adults in India. A proportion of 6.3% of the older adults reduced the size of meals, 40% reported that they did not eat enough food of their choice, 5.6% mentioned that they were hungry but did not eat, 4.2% reported that they did not eat for a whole day and 5.6% think that they have lost weight due to lack of enough food in the household. Older adults who reported to have reduced the size of meals due to lack of enough food (adjusted OR (AOR): 1.76, CI 1.44 to 2.15) were hungry but did not eat (AOR: 1.35, CI 1.06 to 1.72) did not eat food for a whole day (AOR: 1.33; CI 1.03 to 1.71), lost weight due to lack of food (AOR: 1.57; CI 1.30 to1.89) had higher odds of being depressed in reference to their respective counterparts.ConclusionThe findings suggest that self-reported food insecurity indicators were strongly associated with major depression among older Indian adults. The national food security programmes should be enhanced as an effort to improve mental health status and quality of life among older population.

ObjectiveThis study aimed to investigate the predictors of vision impairment in old age and how impaired vision is associated with cognitive impairment among the ageing population.DesignA cross-sectional study was conducted using a large country-representative survey data.Setting and participantsThis study used data from the ‘Building a Knowledge Base on Population Ageing in India’ survey, conducted in 2011. Participants included 9541 older adults aged 60 years and above.Primary and secondary outcome measuresThe outcome variables were vision impairment and cognitive impairment. Descriptive statistics along with bivariate analysis were presented. Additionally, multivariable binary logistic regression analysis was performed to fulfil the objectives.ResultsA proportion of 59.1% of the respondents had vision impairment. Nearly 60% of the participants had cognitive impairment. Those who had vision impairment were 11% more likely to have cognitive impairment compared to their counterparts (OR: 1.11, 95% CI: 1.01 to 1.23). low psychological health (OR: 1.55; 95% CI: 1.36 to 1.77), low activities of daily living (OR: 1.80; 95% CI: 1.43 to 2.27), low instrumental activities of daily living (OR: 1.26; 95% CI: 1.14 to 1.40), poor self-rated health (OR: 1.28; 95% CI: 1.15 to 1.41) and chronic morbidity (OR: 1.27; 95% CI: 1.14 to 1.41) were found to be risk factors for cognitive impairment among older adults.ConclusionsAdditional efforts in terms of advocacy, availability, affordability and accessibility especially in a country with big illiteracy issue are mandatory to increase the reach of eye-care services and reduce the prevalence of avoidable visual impairment and vision losses that lead to cognitive deficits among the older population.

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 < 0.001]. Regression results indicated that older adults in the poorest group were 23% more likely to be physically frail than those in the richest category [Adjusted odds ratio (AOR) = 1.23; 95% confidence interval (CI): 1.11, 1.38]. The overall concentration index of frailty was 0.058 among the older adults, indicating that frailty is more concentrated among older adults with poor wealth status. Body mass index, wealth index, educational status, and region were the major and significant contributors to the socioeconomic status (SES) related inequalities in frailty. Conclusions Results suggest the need for formulating effective prevention and intervention strategies to decelerate the development of physical frailty among older adults in India, especially those with poor socioeconomic background.

SARS-CoV-2 has been declared a pandemic which has led to widespread mass loss of life and long term complications for patients affected with it. The infected individuals face both pulmonary and extrapulmonary complications. This case report aims to present the dental problems and its management in a covid-19 positive geriatric case.