Evidence map›Paper›PMID 34172042›Full record

ArticleBMC public health2021

Lifestyle changes during the first wave of the COVID-19 pandemic: a cross-sectional survey in the Netherlands.

Esther T van der Werf, Martine Busch, Miek C Jong, H J Rogier Hoenders

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 5 pooled it
–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

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

43 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. The Impact of Lockdowns on Caffeine Consumption: A Systematic Review of the Evidence.International journal of environmental research and public health · 2022
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  9. Observational
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  20. Workplace Health Promotion Embedded in Medical Surveillance: The Italian Way to Total Worker Health Program.International journal of environmental research and public health · 2023
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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

4 authors.

Esther T van der WerfLouis Bolk Institute, Bunnik, The Netherlands. e.vanderwerf@louisbolk.nl.
Martine BuschDutch Consortium for Integrative Medicine and Health (CIZG), Utrecht, The Netherlands.
Miek C JongNational Research Center in Complementary and Alternative Medicine (NAFKAM), Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
H J Rogier HoendersDutch Consortium for Integrative Medicine and Health (CIZG), Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the Covid-19 pandemic the Dutch government implemented its so-called 'intelligent lockdown' in which people were urged to leave their homes as little as possible and work from home. This life changing event may have caused changes in lifestyle behaviour, an important factor in the onset and course of diseases. The overarching aim of this study is to determine life-style related changes during the first wave of the COVID-19 pandemic among a representative sample of the adult population in the Netherlands.

methodsLife-style related changes were studied among a random representative sample of the adult population in the Netherlands using an online survey conducted from 22 to 27 May 2020. Differences in COVID-19-related lifestyle changes between Complementary and Alternative Medicine (CAM) users and non-CAM users were determined. The survey included a modified version of the I-CAM-Q and 26 questions on lifestyle related measures, anxiety, and need for support to maintain lifestyle changes.

results1004 respondents were included in the study, aged between 18 and 88 years (50.7% females). Changes to a healthier lifestyle were observed in 19.3% of the population, mainly due to a change in diet habits, physical activity and relaxation, of whom 56.2% reported to be motivated to maintain this behaviour change in a post-COVID-19 era. Fewer respondents (12.3%) changed into an unhealthier lifestyle. Multivariable logistic regression analyses revealed that changing into a healthier lifestyle was positively associated with the variables 'Worried/Anxious getting COVID-19' (OR: 1.56, 95% C.I. 1.26-1.93), 'CAM use' (OR: 2.04, 95% C.I. 1.38-3.02) and 'stress in relation to financial situation' (OR: 1.89, 95% C.I. 1.30-2.74). 'Age' (OR 18-25: 1.00, OR 25-40: 0.55, 95% C.I. 0.31-0.96, OR 40-55:0.50 95% C.I. 0.28-0.87 OR 55+: 0.1095% C.I. 0.10-0.33), 'stress in relation to health' (OR: 2.52, 95% C.I. 1.64-3.86) and 'stress in relation to the balance work and home' (OR: 1.69, 95% C.I. 1.11-2.57) were found predicting the change into an unhealthier direction.

conclusionThese findings suggest that the coronavirus crisis resulted in a healthier lifestyle in one part and, to a lesser extent, in an unhealthier lifestyle in another part of the Dutch population. Further studies are warranted to see whether this behavioural change is maintained over time, and how different lifestyle factors can affect the susceptibility for and the course of COVID-19.

Indexed as

COVID-19PandemicsAdolescentAdultAgedAged, 80 and overCommunicable Disease ControlCross-Sectional StudiesFemaleHumansLife StyleMaleMiddle AgedNetherlandsSARS-CoV-2Young Adult

Identifiers

PMID34172042
PMCPMC8231077

What OpenQuestion holds

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LicenceCC BY
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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.