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Aging and Burnout for Nurses in an Acute Care Setting: The First Wave of COVID-19
We examined the relationship between age, coping, and burnout during the peak of the COVID-19 pandemic with nurses in Texas (N = 376). Nurses were recruited through a professional association and snowball sampling methodology for the cross-sectional survey study. Framed in lifespan development theor...
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Published in: | International journal of environmental research and public health 2023-04, Vol.20 (8), p.5565 |
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description | We examined the relationship between age, coping, and burnout during the peak of the COVID-19 pandemic with nurses in Texas (N = 376). Nurses were recruited through a professional association and snowball sampling methodology for the cross-sectional survey study. Framed in lifespan development theories, we expected that nurse age and experience would be positively correlated with positive coping strategies (e.g., getting emotional support from others) and negatively correlated with negative coping strategies (e.g., drinking and drug use). We also expected age to be negatively related to the emotional exhaustion and depersonalization facets of burnout and positively related to the personal accomplishment facet of burnout. Findings were largely supported in that age was positively associated with positive coping and personal accomplishment and age and experience were negatively correlated with negative coping and depersonalization. Age was not, however, associated with emotional exhaustion. Mediation models further suggest that coping explains some of the effect of age on burnout. A theoretical extension of lifespan development models into an extreme environment and practical implications for coping in these environments are discussed. |
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Nurses were recruited through a professional association and snowball sampling methodology for the cross-sectional survey study. Framed in lifespan development theories, we expected that nurse age and experience would be positively correlated with positive coping strategies (e.g., getting emotional support from others) and negatively correlated with negative coping strategies (e.g., drinking and drug use). We also expected age to be negatively related to the emotional exhaustion and depersonalization facets of burnout and positively related to the personal accomplishment facet of burnout. Findings were largely supported in that age was positively associated with positive coping and personal accomplishment and age and experience were negatively correlated with negative coping and depersonalization. Age was not, however, associated with emotional exhaustion. Mediation models further suggest that coping explains some of the effect of age on burnout. 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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/). 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Nurses were recruited through a professional association and snowball sampling methodology for the cross-sectional survey study. Framed in lifespan development theories, we expected that nurse age and experience would be positively correlated with positive coping strategies (e.g., getting emotional support from others) and negatively correlated with negative coping strategies (e.g., drinking and drug use). We also expected age to be negatively related to the emotional exhaustion and depersonalization facets of burnout and positively related to the personal accomplishment facet of burnout. Findings were largely supported in that age was positively associated with positive coping and personal accomplishment and age and experience were negatively correlated with negative coping and depersonalization. Age was not, however, associated with emotional exhaustion. Mediation models further suggest that coping explains some of the effect of age on burnout. A theoretical extension of lifespan development models into an extreme environment and practical implications for coping in these environments are discussed.</description><subject>Adults</subject><subject>Age</subject><subject>Age factors</subject><subject>Aging</subject><subject>Analysis</subject><subject>Burnout</subject><subject>Burnout, Professional - epidemiology</subject><subject>Burnout, Professional - psychology</subject><subject>China</subject><subject>Cognitive ability</subject><subject>Coping</subject><subject>Coronaviruses</subject><subject>Correlation</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Disease transmission</subject><subject>Emotional regulation</subject><subject>Emotions</subject><subject>Employment</subject><subject>Epidemics</subject><subject>Extreme environments</subject><subject>Humans</subject><subject>Knowledge</subject><subject>Life span</subject><subject>Mediation</subject><subject>Medical personnel</subject><subject>Medical research</subject><subject>Nurses</subject><subject>Nursing</subject><subject>Pandemics</subject><subject>Professional associations</subject><subject>Recruiting</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Texas</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>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNptkstvEzEQxi0EoqVw5YgsceGyxY_4sVxQCJRWqqgQBY6W1ztOHG3s1N6txH-PU_pElQ-2Zn7zjb7xIPSakkPOW_I-rCFvV4wQLYQUT9A-lZI0M0no03vvPfSilDUhXM9k-xztcUWJ0jO1j77PlyEusY09_jTlmKYR-5TxtykXKDjEmsFzN42AFzYD_gHjWPkP-HwF-CjkMuLf9hJw8nhx9uvkc0Pbl-iZt0OBV9f3Afp59OV8cdycnn09WcxPGzcjVDRcaKlE23rhHVM9c0AVqZa8ZMIBc0J1XHZMSS01aTmRnshOdMxr6KWyjh-gj_90t1O3gd5BHLMdzDaHjc1_TLLBPMzEsDLLdGkooVxrTavCu2uFnC4mKKPZhOJgGGyENBXDNFEtFZSJir79D12nOq7qb0dJwVop5B21tAOYEH2qjd1O1MyVoC1l7Krt4SNUPT1sgksRfKjxxwpcTqVk8LcmKTG7LTAPt6AWvLk_mlv85tv5X26dqZ4</recordid><startdate>20230418</startdate><enddate>20230418</enddate><creator>Beier, Margaret E</creator><creator>Cockerham, Mona</creator><creator>Branson, Sandy</creator><creator>Boss, Lisa</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>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5418-6355</orcidid><orcidid>https://orcid.org/0000-0001-5761-5610</orcidid></search><sort><creationdate>20230418</creationdate><title>Aging and Burnout for Nurses in an Acute Care Setting: The First Wave of COVID-19</title><author>Beier, Margaret E ; 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subjects | Adults Age Age factors Aging Analysis Burnout Burnout, Professional - epidemiology Burnout, Professional - psychology China Cognitive ability Coping Coronaviruses Correlation COVID-19 COVID-19 - epidemiology Cross-Sectional Studies Disease transmission Emotional regulation Emotions Employment Epidemics Extreme environments Humans Knowledge Life span Mediation Medical personnel Medical research Nurses Nursing Pandemics Professional associations Recruiting Surveys Surveys and Questionnaires Texas |
title | Aging and Burnout for Nurses in an Acute Care Setting: The First Wave of COVID-19 |
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