Are There Differences between the Stress Responses of Philippine Men and Women to the COVID-19 Pandemic?
The SARS-CoV-2 pandemic has had a deleterious impact on human health since its beginning in 2019. The purpose of this study was to examine the psychosocial impact of the COVID-19 pandemic in the Philippines and determine if there were differential impacts on women compared to men. A web-based survey...
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| Veröffentlicht in: | International journal of environmental research and public health 2023-01, Vol.20 (3), p.2326 |
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| creator | Periyakoil, Divya Periyakoil, Preethi Tee, Cherica A Spanos, Costas J Diener-West, Marie Tee, Michael Prata, Ndola |
| description | The SARS-CoV-2 pandemic has had a deleterious impact on human health since its beginning in 2019. The purpose of this study was to examine the psychosocial impact of the COVID-19 pandemic in the Philippines and determine if there were differential impacts on women compared to men. A web-based survey was conducted in the Luzon Islands of the Philippines, during the pandemic quarantine. A total of 1879 participants completed online surveys between 28 March-12 April 2020. A bivariate analysis of both men and women for each psychological measure (stress, anxiety, depression, and impact of COVID-19) was conducted. Multivariable logistic regression models were built for each measure, dichotomized as high or low, separately for men and women. Younger age (
< 0.001), being married (
< 0.001), and being a parent (
< 0.004) were associated with women's poor mental health. Marriage and large household size are protective factors for men (
< 0.002 and
< 0.0012, respectively), but marriage may be a risk factor for women (
< 0.001). Overall, women were disproportionately negatively impacted by the pandemic compared to men. |
| doi_str_mv | 10.3390/ijerph20032326 |
| format | Article |
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< 0.001), being married (
< 0.001), and being a parent (
< 0.004) were associated with women's poor mental health. Marriage and large household size are protective factors for men (
< 0.002 and
< 0.0012, respectively), but marriage may be a risk factor for women (
< 0.001). Overall, women were disproportionately negatively impacted by the pandemic compared to men.]]></description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph20032326</identifier><identifier>PMID: 36767697</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Anxiety - epidemiology ; Bivariate analysis ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Depression - psychology ; Female ; Humans ; Male ; Marital status ; Mental Health ; Pandemics ; Philippines - epidemiology ; Regression analysis ; Risk factors ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Sociodemographics ; Stress, Psychological - epidemiology ; Stress, Psychological - psychology ; Surveys ; Womens health</subject><ispartof>International journal of environmental research and public health, 2023-01, Vol.20 (3), p.2326</ispartof><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2886-eadc1969dc7c0746e8c231533764373d2c4c73164be6ee2f4bb8c82b8875203d3</cites><orcidid>0000-0002-0766-0189 ; 0000-0001-7479-8332</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915070/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915070/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36767697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Periyakoil, Divya</creatorcontrib><creatorcontrib>Periyakoil, Preethi</creatorcontrib><creatorcontrib>Tee, Cherica A</creatorcontrib><creatorcontrib>Spanos, Costas J</creatorcontrib><creatorcontrib>Diener-West, Marie</creatorcontrib><creatorcontrib>Tee, Michael</creatorcontrib><creatorcontrib>Prata, Ndola</creatorcontrib><title>Are There Differences between the Stress Responses of Philippine Men and Women to the COVID-19 Pandemic?</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description><![CDATA[The SARS-CoV-2 pandemic has had a deleterious impact on human health since its beginning in 2019. The purpose of this study was to examine the psychosocial impact of the COVID-19 pandemic in the Philippines and determine if there were differential impacts on women compared to men. A web-based survey was conducted in the Luzon Islands of the Philippines, during the pandemic quarantine. A total of 1879 participants completed online surveys between 28 March-12 April 2020. A bivariate analysis of both men and women for each psychological measure (stress, anxiety, depression, and impact of COVID-19) was conducted. Multivariable logistic regression models were built for each measure, dichotomized as high or low, separately for men and women. Younger age (
< 0.001), being married (
< 0.001), and being a parent (
< 0.004) were associated with women's poor mental health. Marriage and large household size are protective factors for men (
< 0.002 and
< 0.0012, respectively), but marriage may be a risk factor for women (
< 0.001). Overall, women were disproportionately negatively impacted by the pandemic compared to men.]]></description><subject>Anxiety - epidemiology</subject><subject>Bivariate analysis</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Depression - psychology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Marital status</subject><subject>Mental Health</subject><subject>Pandemics</subject><subject>Philippines - epidemiology</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sociodemographics</subject><subject>Stress, Psychological - epidemiology</subject><subject>Stress, Psychological - psychology</subject><subject>Surveys</subject><subject>Womens health</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtP3DAUhS1UVB7ttsvKUjdsAn5k7HjTCg1PaRCondKllTg3jUeJHewMiH-PBwY0IMu-ls53ju7VRegbJYecK3JkFxCGlhHCGWdiC-1SIUiWC0I_bfx30F6MiwQVuVCf0Q4XMh0ld1F7HADPW0jviW2aVJ2BiCsYHwAcHlvAf8YAMeLfEAfvYhJ9g29a29lhsA7wVcJKV-N_vl8Z_LNnen17eZJRhW-SBL01v76g7absInxd13309-x0Pr3IZtfnl9PjWWZYUYgMytpQJVRtpCEyF1AYxumEcylyLnnNTG4kpyKvQACwJq-qwhSsKgo5YYTXfB_9fMkdllUPtQE3hrLTQ7B9GR61L61-rzjb6v_-XitFJ0SSFHCwDgj-bglx1L2NBrqudOCXUTMpJ4KmyxL64wO68Mvg0ngrKleEK8YTdfhCmeBjDNC8NUOJXi1Rv19iMnzfHOENf90afwK6Rpfo</recordid><startdate>20230128</startdate><enddate>20230128</enddate><creator>Periyakoil, Divya</creator><creator>Periyakoil, Preethi</creator><creator>Tee, Cherica A</creator><creator>Spanos, Costas J</creator><creator>Diener-West, Marie</creator><creator>Tee, Michael</creator><creator>Prata, Ndola</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0766-0189</orcidid><orcidid>https://orcid.org/0000-0001-7479-8332</orcidid></search><sort><creationdate>20230128</creationdate><title>Are There Differences between the Stress Responses of Philippine Men and Women to the COVID-19 Pandemic?</title><author>Periyakoil, Divya ; Periyakoil, Preethi ; Tee, Cherica A ; Spanos, Costas J ; Diener-West, Marie ; Tee, Michael ; Prata, Ndola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2886-eadc1969dc7c0746e8c231533764373d2c4c73164be6ee2f4bb8c82b8875203d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anxiety - epidemiology</topic><topic>Bivariate analysis</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Depression - psychology</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Marital status</topic><topic>Mental Health</topic><topic>Pandemics</topic><topic>Philippines - epidemiology</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Sociodemographics</topic><topic>Stress, Psychological - epidemiology</topic><topic>Stress, Psychological - psychology</topic><topic>Surveys</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Periyakoil, Divya</creatorcontrib><creatorcontrib>Periyakoil, Preethi</creatorcontrib><creatorcontrib>Tee, Cherica A</creatorcontrib><creatorcontrib>Spanos, Costas J</creatorcontrib><creatorcontrib>Diener-West, Marie</creatorcontrib><creatorcontrib>Tee, Michael</creatorcontrib><creatorcontrib>Prata, Ndola</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Periyakoil, Divya</au><au>Periyakoil, Preethi</au><au>Tee, Cherica A</au><au>Spanos, Costas J</au><au>Diener-West, Marie</au><au>Tee, Michael</au><au>Prata, Ndola</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Are There Differences between the Stress Responses of Philippine Men and Women to the COVID-19 Pandemic?</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2023-01-28</date><risdate>2023</risdate><volume>20</volume><issue>3</issue><spage>2326</spage><pages>2326-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract><![CDATA[The SARS-CoV-2 pandemic has had a deleterious impact on human health since its beginning in 2019. The purpose of this study was to examine the psychosocial impact of the COVID-19 pandemic in the Philippines and determine if there were differential impacts on women compared to men. A web-based survey was conducted in the Luzon Islands of the Philippines, during the pandemic quarantine. A total of 1879 participants completed online surveys between 28 March-12 April 2020. A bivariate analysis of both men and women for each psychological measure (stress, anxiety, depression, and impact of COVID-19) was conducted. Multivariable logistic regression models were built for each measure, dichotomized as high or low, separately for men and women. Younger age (
< 0.001), being married (
< 0.001), and being a parent (
< 0.004) were associated with women's poor mental health. Marriage and large household size are protective factors for men (
< 0.002 and
< 0.0012, respectively), but marriage may be a risk factor for women (
< 0.001). Overall, women were disproportionately negatively impacted by the pandemic compared to men.]]></abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36767697</pmid><doi>10.3390/ijerph20032326</doi><orcidid>https://orcid.org/0000-0002-0766-0189</orcidid><orcidid>https://orcid.org/0000-0001-7479-8332</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of environmental research and public health, 2023-01, Vol.20 (3), p.2326 |
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| subjects | Anxiety - epidemiology Bivariate analysis Coronaviruses COVID-19 COVID-19 - epidemiology Depression - psychology Female Humans Male Marital status Mental Health Pandemics Philippines - epidemiology Regression analysis Risk factors SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2 Sociodemographics Stress, Psychological - epidemiology Stress, Psychological - psychology Surveys Womens health |
| title | Are There Differences between the Stress Responses of Philippine Men and Women to the COVID-19 Pandemic? |
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