Evidence map›Paper›PMID 36056090›Full record

ArticleScientific reports2022

Loneliness and its correlates among Bangladeshi older adults during the COVID-19 pandemic.

Sabuj Kanti Mistry, A R M Mehrab Ali, Uday Narayan Yadav, Md Nazmul Huda, Saruna Ghimire, Manika Saha, Sneha Sarwar, Mark F Harris

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

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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

10 citing papers in PubMed.

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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.

Sabuj Kanti MistryARCED Foundation, 13/1 Pallabi, Mirpur-12, Dhaka, Bangladesh. smitra411@gmail.com.
A R M Mehrab AliARCED Foundation, 13/1 Pallabi, Mirpur-12, Dhaka, Bangladesh.
Uday Narayan YadavCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
Md Nazmul HudaARCED Foundation, 13/1 Pallabi, Mirpur-12, Dhaka, Bangladesh.
Saruna GhimireDepartment of Sociology and Gerontology and Scripps Gerontology Center, Miami University, Oxford, OH, USA.
Manika SahaDepartment of Human-Centred Computing, Faculty of Information Technology, Monash University, Clayton, VIC, 3145, Australia.
Sneha SarwarInstitute of Nutrition and Food Science, University of Dhaka, Dhaka, Bangladesh.
Mark F HarrisCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aims to investigate the prevalence of loneliness and its associated factors among older adults during the COVID-19 pandemic in Bangladesh. This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged 60 years and above through telephone interviews. A semi-structured questionnaire was used to collect information on participants' characteristics and COVID-19-related information. Meanwhile, the level of loneliness was measured using a 3-item UCLA Loneliness scale. More than half (51.5%) of the older adults experienced loneliness. We found that participants formally schooled [adjusted odds ratio (aOR = 0.62, 95% CI 0.43-0.88)] and received COVID-19-related information from health workers (aOR = 0.33, 95% CI 0.22-0.49) had lower odds of being lonely during the pandemic. However, older adults living alone (aOR: 2.57, 95% CI 1.34-4.94), residing distant from a health facility (aOR = 1.46, 95% CI 1.02-2.08) and in rural areas (aOR = 1.53, 95% CI 1.02-2.23) had higher odds of loneliness than their counterparts. Likewise, odds of loneliness were higher among those overwhelmed by COVID-19 (aOR = 1.93, 95% CI 1.29-2.86), who faced difficulty in earning (aOR = 1.77, 95% CI 1.18-2.67) and receiving routine medical care during pandemic (aOR = 2.94, 95% CI 1.78-4.87), and those perceiving requiring additional care during the pandemic (aOR = 6.01, 95% CI 3.80-9.49). The findings suggest that policies and plans should be directed to reduce loneliness among older adults who require additional care.

Indexed as

COVID-19LonelinessAgedCross-Sectional StudiesHumansPandemicsPrevalence

Identifiers

PMID36056090
PMCPMC9438873

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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.