Depression and loneliness may predict work inefficiency among professionally active adults
Purpose Both depression and loneliness have been recognized as major public health issues, yet investigation into their role among young and middle-aged, professionally active persons is still required. The aim of the present study was to evaluate whether depression and loneliness may independently...
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Veröffentlicht in: | International archives of occupational and environmental health 2022-10, Vol.95 (8), p.1775-1783 |
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creator | Mokros, Łukasz Świtaj, Piotr Bieńkowski, Przemysław Święcicki, Łukasz Sienkiewicz-Jarosz, Halina |
description | Purpose
Both depression and loneliness have been recognized as major public health issues, yet investigation into their role among young and middle-aged, professionally active persons is still required. The aim of the present study was to evaluate whether depression and loneliness may independently predict inefficiency at work among professionally active adults.
Methods
This is a cross-sectional study on a representative, nationwide sample. 1795 questionnaires were gathered from among professionally active adults from Poland from 1 to 31 July 2018 with a direct pen-and-paper interview. The sample was chosen by means of the stratified random method. The survey included a Patient Health Questionnaire (PHQ-9) to measure depression and questions, devised by the authors, relating to loneliness and inefficiency at work. Regression models were constructed with depression and loneliness as predictors of inefficiency at work, unadjusted and adjusted for selected sociodemographic, health- and work-related factors.
Results
In the unadjusted models, both depression and loneliness were independently associated with an increase of work inefficiency and absence from work, with effect sizes being higher for loneliness than for depression. After accounting for the control variables (i.e., sociodemographic, work- and health-related factors), the PHQ-9 score, but not the loneliness score, was associated with an increased probability of frequent thoughts about changing or leaving a job.
Conclusion
Depression and loneliness independently predicted occupational functioning and differentially affect its various aspects. Counteracting depression and loneliness among employees should be regarded as a public health priority. |
doi_str_mv | 10.1007/s00420-022-01869-1 |
format | Article |
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Both depression and loneliness have been recognized as major public health issues, yet investigation into their role among young and middle-aged, professionally active persons is still required. The aim of the present study was to evaluate whether depression and loneliness may independently predict inefficiency at work among professionally active adults.
Methods
This is a cross-sectional study on a representative, nationwide sample. 1795 questionnaires were gathered from among professionally active adults from Poland from 1 to 31 July 2018 with a direct pen-and-paper interview. The sample was chosen by means of the stratified random method. The survey included a Patient Health Questionnaire (PHQ-9) to measure depression and questions, devised by the authors, relating to loneliness and inefficiency at work. Regression models were constructed with depression and loneliness as predictors of inefficiency at work, unadjusted and adjusted for selected sociodemographic, health- and work-related factors.
Results
In the unadjusted models, both depression and loneliness were independently associated with an increase of work inefficiency and absence from work, with effect sizes being higher for loneliness than for depression. After accounting for the control variables (i.e., sociodemographic, work- and health-related factors), the PHQ-9 score, but not the loneliness score, was associated with an increased probability of frequent thoughts about changing or leaving a job.
Conclusion
Depression and loneliness independently predicted occupational functioning and differentially affect its various aspects. Counteracting depression and loneliness among employees should be regarded as a public health priority.</description><identifier>ISSN: 0340-0131</identifier><identifier>EISSN: 1432-1246</identifier><identifier>DOI: 10.1007/s00420-022-01869-1</identifier><identifier>PMID: 35503113</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adults ; Earth and Environmental Science ; Environment ; Environmental Health ; Loneliness ; Occupational Medicine/Industrial Medicine ; Original ; Original Article ; Public health ; Questionnaires ; Regression analysis ; Regression models ; Rehabilitation ; Sociodemographics ; Statistical analysis</subject><ispartof>International archives of occupational and environmental health, 2022-10, Vol.95 (8), p.1775-1783</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-364c0c6cc67aef77fbce69d43f7f65248e77ed3bec7e9be31716b106f552e19c3</citedby><cites>FETCH-LOGICAL-c474t-364c0c6cc67aef77fbce69d43f7f65248e77ed3bec7e9be31716b106f552e19c3</cites><orcidid>0000-0003-1331-8408 ; 0000-0002-7432-3449 ; 0000-0002-0805-6696 ; 0000-0002-1823-3422 ; 0000-0002-2953-1943</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00420-022-01869-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00420-022-01869-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35503113$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mokros, Łukasz</creatorcontrib><creatorcontrib>Świtaj, Piotr</creatorcontrib><creatorcontrib>Bieńkowski, Przemysław</creatorcontrib><creatorcontrib>Święcicki, Łukasz</creatorcontrib><creatorcontrib>Sienkiewicz-Jarosz, Halina</creatorcontrib><title>Depression and loneliness may predict work inefficiency among professionally active adults</title><title>International archives of occupational and environmental health</title><addtitle>Int Arch Occup Environ Health</addtitle><addtitle>Int Arch Occup Environ Health</addtitle><description>Purpose
Both depression and loneliness have been recognized as major public health issues, yet investigation into their role among young and middle-aged, professionally active persons is still required. The aim of the present study was to evaluate whether depression and loneliness may independently predict inefficiency at work among professionally active adults.
Methods
This is a cross-sectional study on a representative, nationwide sample. 1795 questionnaires were gathered from among professionally active adults from Poland from 1 to 31 July 2018 with a direct pen-and-paper interview. The sample was chosen by means of the stratified random method. The survey included a Patient Health Questionnaire (PHQ-9) to measure depression and questions, devised by the authors, relating to loneliness and inefficiency at work. Regression models were constructed with depression and loneliness as predictors of inefficiency at work, unadjusted and adjusted for selected sociodemographic, health- and work-related factors.
Results
In the unadjusted models, both depression and loneliness were independently associated with an increase of work inefficiency and absence from work, with effect sizes being higher for loneliness than for depression. After accounting for the control variables (i.e., sociodemographic, work- and health-related factors), the PHQ-9 score, but not the loneliness score, was associated with an increased probability of frequent thoughts about changing or leaving a job.
Conclusion
Depression and loneliness independently predicted occupational functioning and differentially affect its various aspects. Counteracting depression and loneliness among employees should be regarded as a public health priority.</description><subject>Adults</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Loneliness</subject><subject>Occupational Medicine/Industrial Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rehabilitation</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><issn>0340-0131</issn><issn>1432-1246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kUtv1TAQhS0EopfCH2CBIrFhE5ixHbvZIKHylCqxgQ0by3HGF5fEvthJ0f33GFLKY8HK0jnfHM_oMPYQ4SkC6GcFQHJogfMW8Ez1Ld5iO5SCt8ilus12IGS1UeAJu1fKJQBqpcVddiK6DgSi2LFPL-mQqZSQYmPj2Ewp0hRiVZrZHpvqjcEtzbeUvzRV9j64QNEdGzunuK9-8tu0naYquiVcUWPHdVrKfXbH26nQg-v3lH18_erD-dv24v2bd-cvLlontVxaoaQDp5xT2pLX2g-OVD9K4bVXHZdnpDWNYiCnqR9IoEY1ICjfdZywd-KUPd9yD-sw0-goLtlO5pDDbPPRJBvM304Mn80-XZkelKj5NeDJdUBOX1cqi5lDcTRNNlJai-Gq6znXUkFFH_-DXqY11-MrpbHrQQrVVYpvlMuplEz-ZhkE86M6s1VnanXmZ3UG69CjP8-4GfnVVQXEBpRqxT3l33__J_Y7GP-mqw</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Mokros, Łukasz</creator><creator>Świtaj, Piotr</creator><creator>Bieńkowski, Przemysław</creator><creator>Święcicki, Łukasz</creator><creator>Sienkiewicz-Jarosz, Halina</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7T5</scope><scope>7TM</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1331-8408</orcidid><orcidid>https://orcid.org/0000-0002-7432-3449</orcidid><orcidid>https://orcid.org/0000-0002-0805-6696</orcidid><orcidid>https://orcid.org/0000-0002-1823-3422</orcidid><orcidid>https://orcid.org/0000-0002-2953-1943</orcidid></search><sort><creationdate>20221001</creationdate><title>Depression and loneliness may predict work inefficiency among professionally active adults</title><author>Mokros, Łukasz ; Świtaj, Piotr ; Bieńkowski, Przemysław ; Święcicki, Łukasz ; Sienkiewicz-Jarosz, Halina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-364c0c6cc67aef77fbce69d43f7f65248e77ed3bec7e9be31716b106f552e19c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adults</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Loneliness</topic><topic>Occupational Medicine/Industrial Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Rehabilitation</topic><topic>Sociodemographics</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mokros, Łukasz</creatorcontrib><creatorcontrib>Świtaj, Piotr</creatorcontrib><creatorcontrib>Bieńkowski, Przemysław</creatorcontrib><creatorcontrib>Święcicki, Łukasz</creatorcontrib><creatorcontrib>Sienkiewicz-Jarosz, Halina</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Environmental Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International archives of occupational and environmental health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mokros, Łukasz</au><au>Świtaj, Piotr</au><au>Bieńkowski, Przemysław</au><au>Święcicki, Łukasz</au><au>Sienkiewicz-Jarosz, Halina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Depression and loneliness may predict work inefficiency among professionally active adults</atitle><jtitle>International archives of occupational and environmental health</jtitle><stitle>Int Arch Occup Environ Health</stitle><addtitle>Int Arch Occup Environ Health</addtitle><date>2022-10-01</date><risdate>2022</risdate><volume>95</volume><issue>8</issue><spage>1775</spage><epage>1783</epage><pages>1775-1783</pages><issn>0340-0131</issn><eissn>1432-1246</eissn><abstract>Purpose
Both depression and loneliness have been recognized as major public health issues, yet investigation into their role among young and middle-aged, professionally active persons is still required. The aim of the present study was to evaluate whether depression and loneliness may independently predict inefficiency at work among professionally active adults.
Methods
This is a cross-sectional study on a representative, nationwide sample. 1795 questionnaires were gathered from among professionally active adults from Poland from 1 to 31 July 2018 with a direct pen-and-paper interview. The sample was chosen by means of the stratified random method. The survey included a Patient Health Questionnaire (PHQ-9) to measure depression and questions, devised by the authors, relating to loneliness and inefficiency at work. Regression models were constructed with depression and loneliness as predictors of inefficiency at work, unadjusted and adjusted for selected sociodemographic, health- and work-related factors.
Results
In the unadjusted models, both depression and loneliness were independently associated with an increase of work inefficiency and absence from work, with effect sizes being higher for loneliness than for depression. After accounting for the control variables (i.e., sociodemographic, work- and health-related factors), the PHQ-9 score, but not the loneliness score, was associated with an increased probability of frequent thoughts about changing or leaving a job.
Conclusion
Depression and loneliness independently predicted occupational functioning and differentially affect its various aspects. Counteracting depression and loneliness among employees should be regarded as a public health priority.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35503113</pmid><doi>10.1007/s00420-022-01869-1</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-1331-8408</orcidid><orcidid>https://orcid.org/0000-0002-7432-3449</orcidid><orcidid>https://orcid.org/0000-0002-0805-6696</orcidid><orcidid>https://orcid.org/0000-0002-1823-3422</orcidid><orcidid>https://orcid.org/0000-0002-2953-1943</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adults Earth and Environmental Science Environment Environmental Health Loneliness Occupational Medicine/Industrial Medicine Original Original Article Public health Questionnaires Regression analysis Regression models Rehabilitation Sociodemographics Statistical analysis |
title | Depression and loneliness may predict work inefficiency among professionally active adults |
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