2021
DOI: 10.20944/preprints202011.0532.v2
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COVID-19 Lockdown and Lifestyles – A Narrative Review

Abstract: Background: The primary objective worldwide during the COVID-19 pandemic has been controlling disease transmission. However, lockdown measures used to mitigate transmission have affected human behavior and altered lifestyles, with a likely impact on chronic non-communicable diseases. More than a year into the pandemic, substantial peer-reviewed literature has emerged on altered lifestyles following the varying lockdown measures imposed globally to control the virus spread. Objective: To explore the impact of … Show more

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Cited by 8 publications
(12 citation statements)
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“…Bayes factors can help with the interpretation of potentially non-significant effects if found during analyses, which is not possible using frequentist statistics [43]. Bayes Factor analyses in the event of non-significant findings were pre-registered online for physical activity, BMI, snacking, alcohol consumption, age and gender (https://osf.io/pr68k/), as current literature suggests that reduced physical activity, higher initial BMI, increased snacking, high alcohol consumption, younger age and female gender are associated with weight/BMI gain at the start of the pandemic [7,8,10,21]. To differentiate non-significant associations from data supporting the null, data supporting the alternative, and inconclusive data, effect sizes were obtained from mean differences in weight change reported in the COVID-19 literature [44].…”
Section: Rq2mentioning
confidence: 99%
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“…Bayes factors can help with the interpretation of potentially non-significant effects if found during analyses, which is not possible using frequentist statistics [43]. Bayes Factor analyses in the event of non-significant findings were pre-registered online for physical activity, BMI, snacking, alcohol consumption, age and gender (https://osf.io/pr68k/), as current literature suggests that reduced physical activity, higher initial BMI, increased snacking, high alcohol consumption, younger age and female gender are associated with weight/BMI gain at the start of the pandemic [7,8,10,21]. To differentiate non-significant associations from data supporting the null, data supporting the alternative, and inconclusive data, effect sizes were obtained from mean differences in weight change reported in the COVID-19 literature [44].…”
Section: Rq2mentioning
confidence: 99%
“…There is also a complex relationship between physical activity and alcohol consumption; individuals may have attempted to compensate for high-risk alcohol consumption with additional physical activity in an attempt to offset energy intake [58][59][60]. Furthermore, the physical activity measure in this analysis assessed strengthening and moderate-vigorous physical activity only and did not consider light physical activity such as walking, other forms of physical activity such as housework or gardening, or forms of physical inactivity, which may have provided a better overall measure of changes in total physical activity and relations to weight change [8,12,21].…”
Section: Comparison To Previous Studiesmentioning
confidence: 99%
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