Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic.
Identifieur interne : 000332 ( Main/Exploration ); précédent : 000331; suivant : 000333Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic.
Auteurs : Katherine Kent [Australie] ; Sandra Murray [Australie] ; Beth Penrose [Australie] ; Stuart Auckland [Australie] ; Denis Visentin [Australie] ; Stephanie Godrich [Australie] ; Elizabeth Lester [Australie]Source :
- Nutrients [ 2072-6643 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Approvisionnement en nourriture (statistiques et données numériques), Approvisionnement en nourriture (économie), Démographie (MeSH), Emploi (MeSH), Facteurs de risque (MeSH), Facteurs sexuels (MeSH), Facteurs socioéconomiques (MeSH), Facteurs âges (MeSH), Famille (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (complications), Infections à coronavirus (économie), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Niveau d'instruction (MeSH), Pandémies (économie), Personnes handicapées (MeSH), Pneumopathie virale (complications), Pneumopathie virale (économie), Pneumopathie virale (épidémiologie), Population rurale (MeSH), Prévalence (MeSH), Revenu (MeSH), Sujet âgé (MeSH), Tasmanie (épidémiologie), Études transversales (MeSH).
- MESH :
- statistiques et données numériques : Approvisionnement en nourriture.
- économie : Approvisionnement en nourriture, Infections à coronavirus, Pandémies, Pneumopathie virale.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, Tasmanie.
- Adulte, Adulte d'âge moyen, Démographie, Emploi, Facteurs de risque, Facteurs sexuels, Facteurs socioéconomiques, Facteurs âges, Famille, Femelle, Humains, Jeune adulte, Mâle, Niveau d'instruction, Personnes handicapées, Population rurale, Prévalence, Revenu, Sujet âgé, Études transversales.
English descriptors
- KwdEn :
- Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Coronavirus Infections (complications), Coronavirus Infections (economics), Coronavirus Infections (epidemiology), Cross-Sectional Studies (MeSH), Demography (MeSH), Disabled Persons (MeSH), Educational Status (MeSH), Employment (MeSH), Family (MeSH), Female (MeSH), Food Supply (economics), Food Supply (statistics & numerical data), Humans (MeSH), Income (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (economics), Pneumonia, Viral (complications), Pneumonia, Viral (economics), Pneumonia, Viral (epidemiology), Prevalence (MeSH), Risk Factors (MeSH), Rural Population (MeSH), Sex Factors (MeSH), Socioeconomic Factors (MeSH), Tasmania (epidemiology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Tasmania.
- complications : Coronavirus Infections, Pneumonia, Viral.
- economics : Coronavirus Infections, Food Supply, Pandemics, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Food Supply.
- Adult, Age Factors, Aged, Cross-Sectional Studies, Demography, Disabled Persons, Educational Status, Employment, Family, Female, Humans, Income, Male, Middle Aged, Prevalence, Risk Factors, Rural Population, Sex Factors, Socioeconomic Factors, Young Adult.
Abstract
The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (n = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; p = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; p = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.
DOI: 10.3390/nu12092682
PubMed: 32887422
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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last="Godrich">Stephanie Godrich</name><affiliation wicri:level="1"><nlm:affiliation>School of Medical and Health Sciences, Edith Cowan University, Western Australia 6230, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>School of Medical and Health Sciences, Edith Cowan University, Western Australia 6230</wicri:regionArea><wicri:noRegion>Western Australia 6230</wicri:noRegion></affiliation></author><author><name sortKey="Lester, Elizabeth" sort="Lester, Elizabeth" uniqKey="Lester E" first="Elizabeth" last="Lester">Elizabeth Lester</name><affiliation wicri:level="1"><nlm:affiliation>Institute for Social Change, University of Tasmania, Tasmania 7000, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Institute for Social Change, University of Tasmania, Tasmania 7000</wicri:regionArea><wicri:noRegion>Tasmania 7000</wicri:noRegion></affiliation></author></analytic><series><title level="j">Nutrients</title><idno type="eISSN">2072-6643</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (economics)</term><term>Coronavirus Infections (epidemiology)</term><term>Cross-Sectional Studies (MeSH)</term><term>Demography (MeSH)</term><term>Disabled Persons (MeSH)</term><term>Educational Status (MeSH)</term><term>Employment (MeSH)</term><term>Family (MeSH)</term><term>Female (MeSH)</term><term>Food Supply (economics)</term><term>Food Supply (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Income (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (economics)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (economics)</term><term>Pneumonia, Viral (epidemiology)</term><term>Prevalence (MeSH)</term><term>Risk Factors (MeSH)</term><term>Rural Population (MeSH)</term><term>Sex Factors (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>Tasmania (epidemiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Approvisionnement en nourriture (statistiques et données numériques)</term><term>Approvisionnement en nourriture (économie)</term><term>Démographie (MeSH)</term><term>Emploi (MeSH)</term><term>Facteurs de risque (MeSH)</term><term>Facteurs sexuels (MeSH)</term><term>Facteurs socioéconomiques (MeSH)</term><term>Facteurs âges (MeSH)</term><term>Famille (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (économie)</term><term>Infections à coronavirus (épidémiologie)</term><term>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Niveau d'instruction (MeSH)</term><term>Pandémies (économie)</term><term>Personnes handicapées (MeSH)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (économie)</term><term>Pneumopathie virale (épidémiologie)</term><term>Population rurale (MeSH)</term><term>Prévalence (MeSH)</term><term>Revenu (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Tasmanie (épidémiologie)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Tasmania</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Coronavirus Infections</term><term>Food Supply</term><term>Pandemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Food Supply</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Approvisionnement en nourriture</term></keywords><keywords scheme="MESH" qualifier="économie" xml:lang="fr"><term>Approvisionnement en nourriture</term><term>Infections à coronavirus</term><term>Pandémies</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Tasmanie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Cross-Sectional Studies</term><term>Demography</term><term>Disabled Persons</term><term>Educational Status</term><term>Employment</term><term>Family</term><term>Female</term><term>Humans</term><term>Income</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Risk Factors</term><term>Rural Population</term><term>Sex Factors</term><term>Socioeconomic Factors</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Démographie</term><term>Emploi</term><term>Facteurs de risque</term><term>Facteurs sexuels</term><term>Facteurs socioéconomiques</term><term>Facteurs âges</term><term>Famille</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Niveau d'instruction</term><term>Personnes handicapées</term><term>Population rurale</term><term>Prévalence</term><term>Revenu</term><term>Sujet âgé</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (<i>n</i> = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; <i>p</i> = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; <i>p</i> = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32887422</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>15</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>15</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2072-6643</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>9</Issue><PubDate><Year>2020</Year><Month>Sep</Month><Day>02</Day></PubDate></JournalIssue><Title>Nutrients</Title><ISOAbbreviation>Nutrients</ISOAbbreviation></Journal><ArticleTitle>Prevalence and Socio-Demographic Predictors of Food Insecurity in Australia during the COVID-19 Pandemic.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E2682</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/nu12092682</ELocationID><Abstract><AbstractText>The COVID-19 pandemic has exacerbated economic vulnerabilities and disrupted the Australian food supply, with potential implications for food insecurity. This study aims to describe the prevalence and socio-demographic associations of food insecurity in Tasmania, Australia, during the COVID-19 pandemic. A cross-sectional survey (deployed late May to early June 2020) incorporated the U.S. Household Food Security Survey Module: Six-Item Short Form, and fifteen demographic and COVID-related income questions. Survey data (<i>n</i> = 1170) were analyzed using univariate and multivariate binary logistic regression. The prevalence of food insecurity was 26%. The adjusted odds of food insecurity were higher among respondents with a disability, from a rural area, and living with dependents. Increasing age, a university education, and income above $80,000/year were protective against food insecurity. Food insecurity more than doubled with a loss of household income above 25% (Adjusted Odds Ratio (AOR): 2.02; 95% CI: 1.11, 3.71; <i>p</i> = 0.022), and the odds further increased with loss of income above 75% (AOR: 7.14; 95% CI: 2.01, 24.83; <i>p</i> = 0.002). Our results suggest that the prevalence of food insecurity may have increased during the COVID-19 pandemic, particularly among economically vulnerable households and people who lost income. Policies that support disadvantaged households and ensure adequate employment opportunities are important to support Australians throughout and post the COVID-19 pandemic.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kent</LastName><ForeName>Katherine</ForeName><Initials>K</Initials><Identifier Source="ORCID">0000-0002-5330-7044</Identifier><AffiliationInfo><Affiliation>Centre for Rural Health, University of Tasmania, Tasmania 7250, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Murray</LastName><ForeName>Sandra</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>School of Health Sciences, University of Tasmania, Tasmania 7250, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Penrose</LastName><ForeName>Beth</ForeName><Initials>B</Initials><Identifier Source="ORCID">0000-0001-9604-4953</Identifier><AffiliationInfo><Affiliation>Tasmanian Institute of Agriculture, University of Tasmania, Tasmania 7000, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Auckland</LastName><ForeName>Stuart</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Centre for Rural Health, University of Tasmania, Tasmania 7250, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Visentin</LastName><ForeName>Denis</ForeName><Initials>D</Initials><Identifier Source="ORCID">0000-0001-9961-4384</Identifier><AffiliationInfo><Affiliation>School of Health Sciences, University of Tasmania, Tasmania 7250, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Godrich</LastName><ForeName>Stephanie</ForeName><Initials>S</Initials><Identifier Source="ORCID">0000-0003-3067-8253</Identifier><AffiliationInfo><Affiliation>School of Medical and Health Sciences, Edith Cowan University, Western Australia 6230, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lester</LastName><ForeName>Elizabeth</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Institute for Social Change, University of Tasmania, Tasmania 7000, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Nutrients</MedlineTA><NlmUniqueID>101521595</NlmUniqueID><ISSNLinking>2072-6643</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age 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MajorTopicYN="N">Employment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005190" MajorTopicYN="N">Family</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005523" MajorTopicYN="N">Food Supply</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007182" MajorTopicYN="N">Income</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012424" MajorTopicYN="N">Rural Population</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013648" MajorTopicYN="N" Type="Geographic">Tasmania</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Australia</Keyword><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">food insecurity</Keyword><Keyword MajorTopicYN="N">food supply</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>08</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>08</Month><Day>31</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>5</Day><Hour>1</Hour><Minute>4</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32887422</ArticleId><ArticleId IdType="pii">nu12092682</ArticleId><ArticleId IdType="doi">10.3390/nu12092682</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li></country></list><tree><country name="Australie"><noRegion><name sortKey="Kent, Katherine" sort="Kent, Katherine" uniqKey="Kent K" first="Katherine" last="Kent">Katherine Kent</name></noRegion><name sortKey="Auckland, Stuart" sort="Auckland, Stuart" uniqKey="Auckland S" first="Stuart" last="Auckland">Stuart Auckland</name><name sortKey="Godrich, Stephanie" sort="Godrich, Stephanie" uniqKey="Godrich S" first="Stephanie" last="Godrich">Stephanie Godrich</name><name sortKey="Lester, Elizabeth" sort="Lester, Elizabeth" uniqKey="Lester E" first="Elizabeth" last="Lester">Elizabeth Lester</name><name sortKey="Murray, Sandra" sort="Murray, Sandra" uniqKey="Murray S" first="Sandra" last="Murray">Sandra Murray</name><name sortKey="Penrose, Beth" sort="Penrose, Beth" uniqKey="Penrose B" first="Beth" last="Penrose">Beth Penrose</name><name sortKey="Visentin, Denis" sort="Visentin, Denis" uniqKey="Visentin D" first="Denis" last="Visentin">Denis Visentin</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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