Prevalence and association of depressive symptoms with spiritual intelligence among older adults: A community-based study in rural Puducherry, South India

Relationship between spiritual intelligence and intolerance of uncertainty, anxiety and fear of Corona in the elderly

INTRODUCTION

The COVID-19 pandemic has caused physical and psychological health problems in the elderly. Spiritual intelligence has an effect on health and healing. The aim of this study determining the relationship between spiritual intelligence and intolerance of uncertainty, anxiety, and fear of corona in the elderly.

METHODOLOGY

A cross-sectional study was done on 207 elderly people who referred to comprehensive health service centers in Mashhad in 2022. The samples were selected based on the inclusion criteria using multistage and cluster sampling. To collect data, various questionnaires were used, including demographic characteristics (age, gender, marital status …), King's Spiritual Intelligence Questionnaire, Freestone's Intolerance of Uncertainty Questionnaire, Corona Anxiety Scale, and Coronavirus Fear Scale. Statistical analysis of variables was done using descriptive and analytical (independent t-test, Mann-Whitney, analysis of variance, linear regression) tests by means of STATA version 14.

RESULTS

The average level of spiritual intelligence was 54.1. Participants reported a high level of intolerance of uncertainty (M = 79.2) and fear of corona (M = 14.09). Education, economic status, and marital status were the predictors of spiritual intelligence of the studied subjects (r = 0.24, P < .05). Spiritual intelligence and gender were also related to uncertainty intolerance (r = 0.12, P < .05). Another finding of the study was the superiority of variables of spiritual intelligence and gender in predicting the level of anxiety of corona compared to other variables (r = 0.17, P < .05).

CONCLUSION

There was a relationship between spiritual intelligence, education, and gender with the level of fear and anxiety of corona. Therefore, planning and implementing educational projects based on increasing spiritual intelligence for the elderly with priority for elderly women and with a low level of literacy and income is recommended.

Socioeconomic inequality in psychological distress among older adults in India: a decomposition analysis

BACKGROUND

Older people coming from a lower wealth gradient are more vulnerable to have stressful life events further adding more risk for common mental health disorders and psychological distress situations. The present study explores the associations between socioeconomic and health-related variables and psychological distress among older adults in India and the contribution of such factors to the inequalities in psychological distress.

METHODS

A cross-sectional survey of 9181 older adults conducted as 'Building a Knowledge Base on Population Ageing in India' was assessed. Logistic regression and decomposition models were used to analyze the data. Psychological distress was measured from General Health Questionnaire (GHQ-12). The value of Cronbach's alpha was 0.90. It was having a scale of 0 to 12 on the basis of experiencing stressful symptoms and was re-coded as 0 (representing 6+ stressful symptoms) and 1 (representing 5 and fewer symptoms).

RESULTS

Older adults from the poored, suffering from multi-morbidity, disabled, with low activities of daily living and low instrumental activities of daily living and poor cognitive ability were suffering from high psychological distress in India. Further, factors such as religion, caste, education, living arrangements, and self-worth in the family were major contributors to the concentration of psychological distress in older adults from poor households (concentration index: - 0.23).

CONCLUSION

The study suggests that among older people, there is a wide disparity of experiencing psychological distress across different socio-economic groups with significant factors being responsible for inequality in psychological distress. There is a need to build a "win-win" circumstance across sectors, including a broad spectrum of health, social and economic benefits to the vulnerable older population.