Evidence map›Paper›PMID 33661353›Full record

ArticleSocial psychiatry and psychiatric epidemiology2021

Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study.

Sabuj Kanti Mistry, A R M Mehrab Ali, Md Belal Hossain, Uday Narayan Yadav, Saruna Ghimire, Md Ashfikur Rahman, Nafis Md Irfan, Rumana Huque

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 8 institutions in 4 countries.

Sabuj Kanti MistryARCED Foundation, 13/1, Pallabi, Mirpur-12, Dhaka, Bangladesh. smitra411@gmail.com.ORCID http://orcid.org/0000-0001-6100-6076
A R M Mehrab AliARCED Foundation, 13/1, Pallabi, Mirpur-12, Dhaka, Bangladesh.
Md Belal HossainBRAC James P Grant School of Public Health, BRAC University, 68 Shahid Tajuddin Ahmed Sharani, Mohakhali, Dhaka, 1212, Bangladesh.
Uday Narayan YadavCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
Saruna GhimireDepartment of Sociology and Gerontology and Scripps Gerontology Center, Miami University, Oxford, OH, USA.
Md Ashfikur RahmanDevelopment Studies Discipline, Khulna University, Khulna, 9208, Bangladesh.
Nafis Md IrfanInstitute of Nutrition and Food Science, University of Dhaka, Dhaka, Bangladesh.
Rumana HuqueARK Foundation, Gulshan, Dhaka, Bangladesh.
Innovations for Poverty Action · USKhulna University · BDMiami University · USUniversity of British Columbia · CAUniversity of Dhaka · BDUniversity of Iowa · USUniversity of Technology Sydney · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDepression, 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.

methodsThis 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.

resultsTwo-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.

conclusionsOur 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.

Indexed as

COVID-19PandemicsAgedCross-Sectional StudiesDepressionHumansSARS-CoV-2BangladeshCOVID-19Depressive symptomsMental disordersOlder adults

Identifiers

PMID33661353
PMCPMC7930102
OpenAlexW3135304703

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.