Evidence map›Paper›PMID 36159266›Full record

ArticleFrontiers in public health2022

The impact of the COVID-19 pandemic on lifestyle patterns: Does gender matter?

Naznin Sultana, Md Asaduzzaman, Mahfuza Mubarak, Ismail Hosen, Mark Mohan Kaggwa, Firoj Al-Mamun, Mohammed A Mamun

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Naznin SultanaCHINTA Research Bangladesh, Savar, Bangladesh.
Md AsaduzzamanDepartment of Public Health Nutrition, Primeasia University, Dhaka, Bangladesh.
Mahfuza MubarakDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Bangladesh.
Ismail HosenCHINTA Research Bangladesh, Savar, Bangladesh.
Mark Mohan KaggwaAfrican Centre for Suicide Prevention and Research, Mbarara, Uganda.
Firoj Al-MamunCHINTA Research Bangladesh, Savar, Bangladesh.
Mohammed A MamunCHINTA Research Bangladesh, Savar, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has significantly impacted individuals to deviate from normal lifestyle behaviors. But, there is a paucity of studies conducted in Bangladesh assessing how lifestyle patterns (i.e., smoking, drug use, physical exercise) have changed after the pandemic, which was investigated in this study. Methods: An online-based cross-sectional survey was conducted among a total of 756 Bangladeshi young adults between April 1 and 13, 2020. Lifestyle patterns data were collected based on two periods from the COVID-19 pandemic inception point in the country, (i) '1 year before', and (ii) '1 year after'. Basic descriptive statistics (i.e., frequency and percentages) and Chi-square tests were performed to examine the associations of the independent variables in relation to lifestyle patterns. Results: A 0.2 and 4.7% reduction in smoking and physical exercise, respectively, was observed after the pandemic. But the prevalence of drug use was 1.5% before the COVID-19 pandemic, which rose to 1.9% during the pandemic; representing a 0.4% increment. The changes in lifestyle patterns before and during the COVID-19 pandemic was statistically significant only for physical exercise. Of the gender, male participants were more prevalent in smoking, drug use, and performing physical exercise in both periods. Conclusion: It is suggested to increase awareness concerning adverse effects of drug use and not performing physical exercise, where the gender-based focus is highly appreciated.

Indexed as

COVID-19Cross-Sectional StudiesHumansLife StyleMalePandemicsSARS-CoV-2Surveys and QuestionnairesYoung Adultbehavioral factorsCOVID-19lifestyle patternsphysical activityprevalencesubstance use

Identifiers

PMID36159266
PMCPMC9490405

What OpenQuestion holds

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LicenceCC BY
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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.