Your browser doesn't support javascript.
Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study.
Mistry, Sabuj Kanti; Ali, A R M Mehrab; Hossain, Md Belal; Yadav, Uday Narayan; Ghimire, Saruna; Rahman, Md Ashfikur; Irfan, Nafis Md; Huque, Rumana.
  • Mistry SK; ARCED Foundation, 13/1, Pallabi, Mirpur-12, Dhaka, Bangladesh. smitra411@gmail.com.
  • Ali ARMM; Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia. smitra411@gmail.com.
  • Hossain MB; BRAC James P Grant School of Public Health, BRAC University, 68 Shahid Tajuddin Ahmed Sharani, Mohakhali, Dhaka, 1212, Bangladesh. smitra411@gmail.com.
  • Yadav UN; ARCED Foundation, 13/1, Pallabi, Mirpur-12, Dhaka, Bangladesh.
  • Ghimire S; Innovations for Poverty Action, New Haven, USA.
  • Rahman MA; BRAC James P Grant School of Public Health, BRAC University, 68 Shahid Tajuddin Ahmed Sharani, Mohakhali, Dhaka, 1212, Bangladesh.
  • Irfan NM; School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC, V6T 1Z3, Canada.
  • Huque R; Centre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
Soc Psychiatry Psychiatr Epidemiol ; 56(8): 1487-1497, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1117680
ABSTRACT

PURPOSE:

Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh.

METHODS:

This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants' socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms.

RESULTS:

Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11-4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07-2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47-3.45), and isolation from others (aOR = 2.45, 95% CI 1.62-3.70) were associated with higher odds of depressive symptoms.

CONCLUSIONS:

Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Aged / Humans Language: English Journal: Soc Psychiatry Psychiatr Epidemiol Journal subject: Social Sciences / Epidemiology / Psychiatry Year: 2021 Document Type: Article Affiliation country: S00127-021-02052-6

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Aged / Humans Language: English Journal: Soc Psychiatry Psychiatr Epidemiol Journal subject: Social Sciences / Epidemiology / Psychiatry Year: 2021 Document Type: Article Affiliation country: S00127-021-02052-6