CovidSeniorV1, Main, Exploration, bibRecord, 000654

Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.

Identifieur interne : 000654 ( Main/Exploration ); précédent : 000653; suivant : 000655

Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.

Auteurs : Magdalena G Rnicka [Pologne] ; Małgorzata Ewa Drywie [Pologne] ; Monika A. Zielinska [Pologne] ; Jadwiga Hamułka [Pologne]

Source :

Nutrients [ 2072-6643 ] ; 2020.

RBID : pubmed:32756458

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Comportement alimentaire (MeSH), Exercice physique (MeSH), Facteurs socioéconomiques (MeSH), Facteurs âges (MeSH), Femelle (MeSH), Humains (MeSH), Indice de masse corporelle (MeSH), Infections à coronavirus (virologie), Infections à coronavirus (épidémiologie), Isolement social (MeSH), Jeune adulte (MeSH), Mode de vie (MeSH), Mode de vie sédentaire (MeSH), Mâle (MeSH), Obésité (étiologie), Pandémies (MeSH), Pneumopathie virale (virologie), Pneumopathie virale (épidémiologie), Pologne (MeSH), Repas (MeSH), Régime alimentaire (MeSH), Sujet âgé (MeSH), Surpoids (MeSH), Études transversales (MeSH).
MESH :
- virologie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- étiologie : Obésité.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Comportement alimentaire, Exercice physique, Facteurs socioéconomiques, Facteurs âges, Femelle, Humains, Indice de masse corporelle, Isolement social, Jeune adulte, Mode de vie, Mode de vie sédentaire, Mâle, Pandémies, Pologne, Repas, Régime alimentaire, Sujet âgé, Surpoids, Études transversales.
Wicri :
- geographic : Pologne.

English descriptors

KwdEn :
- Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Body Mass Index (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (virology), Cross-Sectional Studies (MeSH), Diet (MeSH), Exercise (MeSH), Feeding Behavior (MeSH), Female (MeSH), Humans (MeSH), Life Style (MeSH), Male (MeSH), Meals (MeSH), Middle Aged (MeSH), Obesity (etiology), Overweight (MeSH), Pandemics (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (virology), Poland (MeSH), Sedentary Behavior (MeSH), Social Isolation (MeSH), Socioeconomic Factors (MeSH), Young Adult (MeSH).
MESH :
- geographic : Poland.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- etiology : Obesity.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Age Factors, Aged, Betacoronavirus, Body Mass Index, Cross-Sectional Studies, Diet, Exercise, Feeding Behavior, Female, Humans, Life Style, Male, Meals, Middle Aged, Overweight, Pandemics, Sedentary Behavior, Social Isolation, Socioeconomic Factors, Young Adult.

Abstract

The present study aimed to identify patterns of dietary changes during the COVID-19 pandemic and their associations with sociodemographics, body mass index (BMI) before pandemic, and lifestyle changes in Polish adults and to examine the effects of lockdowns on dietary-lifestyle changes. This study used a cross-sectional online survey to collect data. The k-means algorithm was used to determine of patterns of dietary changes, and logistic regression analyses were performed. During the study period, 43% of respondents decreased physical activity (PA), 49%-increased screen time, and 34%-increased food consumption. Among the three dietary changes patterns, two opposite patterns were found: Prohealthy (28% participants) and Unhealthy (19% participants).The adherence to the Prohealthy pattern was negatively associated with age, but positively with being overweight (aOR 1.31) or obese before pandemic (aOR 1.64). Residing in a macroeconomic region with GDP > 100% decreased adherence to the Prohealthy (aOR 0.73) but increased adherence to the Unhealthy pattern (aOR 1.47). Adults over 40 years old, those living with children, unemployed, those living in a region with a higher GDP, and those not consuming homemade meals could be more exposed to unhealthy behaviors. From a public health perspective, enhancing the message "to be active" during the compulsory isolation period should be prioritized.

DOI: 10.3390/nu12082324
PubMed: 32756458
PubMed Central: PMC7468840

Affiliations:

Pologne

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000810
to stream Main, to step Curation: 000810

Le document en format XML

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<term>Betacoronavirus (MeSH)</term>
<term>Comportement alimentaire (MeSH)</term>
<term>Exercice physique (MeSH)</term>
<term>Facteurs socioéconomiques (MeSH)</term>
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<term>Infections à coronavirus (virologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
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<term>Mâle (MeSH)</term>
<term>Obésité (étiologie)</term>
<term>Pandémies (MeSH)</term>
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<term>Pneumopathie virale (épidémiologie)</term>
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<front><div type="abstract" xml:lang="en">The present study aimed to identify patterns of dietary changes during the COVID-19 pandemic and their associations with sociodemographics, body mass index (BMI) before pandemic, and lifestyle changes in Polish adults and to examine the effects of lockdowns on dietary-lifestyle changes. This study used a cross-sectional online survey to collect data. The <i>k</i>
-means algorithm was used to determine of patterns of dietary changes, and logistic regression analyses were performed. During the study period, 43% of respondents decreased physical activity (PA), 49%-increased screen time, and 34%-increased food consumption. Among the three dietary changes patterns, two opposite patterns were found: Prohealthy (28% participants) and Unhealthy (19% participants).The adherence to the Prohealthy pattern was negatively associated with age, but positively with being overweight (aOR 1.31) or obese before pandemic (aOR 1.64). Residing in a macroeconomic region with GDP > 100% decreased adherence to the Prohealthy (aOR 0.73) but increased adherence to the Unhealthy pattern (aOR 1.47). Adults over 40 years old, those living with children, unemployed, those living in a region with a higher GDP, and those not consuming homemade meals could be more exposed to unhealthy behaviors. From a public health perspective, enhancing the message "to be active" during the compulsory isolation period should be prioritized.</div>
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<ArticleTitle>Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.</ArticleTitle>
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<Abstract><AbstractText>The present study aimed to identify patterns of dietary changes during the COVID-19 pandemic and their associations with sociodemographics, body mass index (BMI) before pandemic, and lifestyle changes in Polish adults and to examine the effects of lockdowns on dietary-lifestyle changes. This study used a cross-sectional online survey to collect data. The <i>k</i>
-means algorithm was used to determine of patterns of dietary changes, and logistic regression analyses were performed. During the study period, 43% of respondents decreased physical activity (PA), 49%-increased screen time, and 34%-increased food consumption. Among the three dietary changes patterns, two opposite patterns were found: Prohealthy (28% participants) and Unhealthy (19% participants).The adherence to the Prohealthy pattern was negatively associated with age, but positively with being overweight (aOR 1.31) or obese before pandemic (aOR 1.64). Residing in a macroeconomic region with GDP > 100% decreased adherence to the Prohealthy (aOR 0.73) but increased adherence to the Unhealthy pattern (aOR 1.47). Adults over 40 years old, those living with children, unemployed, those living in a region with a higher GDP, and those not consuming homemade meals could be more exposed to unhealthy behaviors. From a public health perspective, enhancing the message "to be active" during the compulsory isolation period should be prioritized.</AbstractText>
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<ReferenceList><Reference><Citation>Diabetologia. 2014 Oct;57(10):2048-56</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25078481</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 May 26;12(6):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32466598</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Public Health Nutr. 2009 Jan;12(1):105-10</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18339226</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Acta Psychiatr Scand. 2020 May;141(5):399-400</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32324252</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutr J. 2019 Nov 7;18(1):67</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31699092</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 May 19;12(5):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32438620</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 Jun 10;12(6):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32531892</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Fertil Steril. 2017 Apr;107(4):833-839</Citation>
<ArticleIdList><ArticleId IdType="pubmed">28292617</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Obes Rev. 2011 May;12(5):e12-20</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20576006</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Obes Rev. 2008 Nov;9(6):535-47</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18346099</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2018 Jul 26;10(8):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">30050006</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Psychiatr Clin North Am. 2011 Dec;34(4):829-40</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22098807</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Osong Public Health Res Perspect. 2018 Aug;9(4):207-212</Citation>
<ArticleIdList><ArticleId IdType="pubmed">30159227</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 Jun 03;12(6):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32503173</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Prev Med. 2011 Aug;41(2):178-88</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21767726</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMC Public Health. 2018 Jun 26;18(1):797</Citation>
<ArticleIdList><ArticleId IdType="pubmed">29940922</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Res Cardiol. 2020 May;109(5):531-538</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32161990</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Sci Rep. 2014 Oct 14;4:6620</Citation>
<ArticleIdList><ArticleId IdType="pubmed">25311271</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Ann Agric Environ Med. 2014;21(1):136-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">24738513</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 May 28;12(6):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32481594</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Eur J Clin Nutr. 2020 Aug;74(8):1117-1121</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32313188</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nutrients. 2020 Feb 28;12(3):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32121049</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMJ Open. 2016 Mar 14;6(3):e010159</Citation>
<ArticleIdList><ArticleId IdType="pubmed">26975935</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2012;7(6):e37696</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22719846</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>JAMA. 2020 Feb 24;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32091533</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Interv Aging. 2009;4:319-30</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19696896</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Clin Nutr. 2019 Oct 1;110(4):791-792</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31268134</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Obesity (Silver Spring). 2020 Jun;28(6):1005</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32237206</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Prev Med. 2013 Sep;57(3):238-43</Citation>
<ArticleIdList><ArticleId IdType="pubmed">23747357</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Environ Res Public Health. 2020 May 25;17(10):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32466163</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Front Immunol. 2018 Apr 16;9:648</Citation>
<ArticleIdList><ArticleId IdType="pubmed">29713319</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Proc Nutr Soc. 2010 Nov;69(4):644-50</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20860856</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Glob Health. 2018 Oct;6(10):e1077-e1086</Citation>
<ArticleIdList><ArticleId IdType="pubmed">30193830</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Prev Med. 2012 Jun;42(6):563-70</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22608371</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
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Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.

Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.

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