Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions
Sickness absence is a socioeconomic global burden. In Brazil, mental disorders are the third leading cause of social security benefits payments. The aim of the present study was to compare factors associated with long-term sickness absence between workers who claimed social benefits due to mental di...
Gespeichert in:
Veröffentlicht in: | PloS one 2014-12, Vol.9 (12), p.e115885-e115885 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e115885 |
---|---|
container_issue | 12 |
container_start_page | e115885 |
container_title | PloS one |
container_volume | 9 |
creator | Silva-Junior, João Silvestre da Fischer, Frida Marina |
description | Sickness absence is a socioeconomic global burden. In Brazil, mental disorders are the third leading cause of social security benefits payments. The aim of the present study was to compare factors associated with long-term sickness absence between workers who claimed social benefits due to mental disorders or by other causes. We investigated individual features and occupational characteristics. In addition, we evaluated psychosocial factors at work assessed by the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models, and whether they were associated with long-term sickness absence due to mental disorders (LTSA-MD).
The present case-control study was conducted in São Paulo, Brazil. The sample (n = 385) included workers on sick leave for more than 15 days. Cases were the participants with disabling psychiatric illnesses, and controls were the ones with other disabling diseases. Interviews were conducted to assess individual features (sociodemographic data, health habits/lifestyle, health conditions) and occupational characteristics. The participants' perception of exposure to dimensions of the DCS and ERI models was also recorded. Multiple logistic regressions were performed to evaluate the association between independent variables and LTSA-MD.
All the regression analyses showed that LTSA-MD was associated with female sex, self-reported white skin color, higher education level, high tobacco consumption, high alcohol intake, two or more comorbidities, exposure to violence at work, high job strain and low social support at work, effort-reward imbalance and high overcommitment to work. LTSA-MD was associated with separate and combined DCS and ERI stress models.
Individual features and work conditions were associated with LTSA-MD. Combined analysis of stress models showed that psychosocial factors at work were significantly associated with LTSA-MD. Resourceful use of this information may contribute to the implementation of preventive actions and strategies to facilitate return to work targeting the populations most susceptible to mental disorders. |
doi_str_mv | 10.1371/journal.pone.0115885 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1639491566</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A418126808</galeid><doaj_id>oai_doaj_org_article_3cdcaf2d5f0d4b6798e6038c233f4b4b</doaj_id><sourcerecordid>A418126808</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-5ce298b043e81078b2f6578c781fe45f7324f9b25fd24fb019058472bb0272033</originalsourceid><addsrcrecordid>eNqNk0trGzEQx5fS0qRpv0FpFwqlPdjVc1d7KYTQh8EQ6OsqtNLIVrJeOZI2afrpK9ubYJccig4So9_8RzOjKYqXGE0xrfGHCz-EXnXTte9hijDmQvBHxTFuKJlUBNHHe-ej4lmMFwhxKqrqaXFEOKe4Qei4-DP3_WKSIKzK6PRlDzGWqo3QayjNAGXy5Qr6pLrSuOiDgRBLl5EYvXYqgSlvXFqWrjfu2pkhcxZUGgJkpjflOt7qpd-yXXnjw2WpfUaT8318XjyxqovwYtxPip-fP_04-zqZn3-ZnZ3OJ7pqSJpwDaQRLWIUBEa1aImteC10LbAFxm1NCbNNS7g1-dCinBcXrCZti0idc6cnxeud7rrzUY5lixJXtGEN5lWVidmOMF5dyHVwKxVupVdObg0-LKQKyekOJNVGK0sMt8iwtqobARWiQhNKLWtZm7U-jtGGdgVG5-IF1R2IHt70bikX_loyUjPM6yzwbhQI_mqAmOTKRQ1dp3rww-bdDFEimnqDvvkHfTi7kVqonIDrrc9x9UZUnjIsMKkEEpmaPkDlZWDlctPAumw_cHh_4JCZBL_TQg0xytn3b__Pnv86ZN_usUtQXVpG3w3bP3MIsh2og48xgL0vMkZyMyJ31ZCbEZHjiGS3V_sNune6mwn6F-4VDO4</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1639491566</pqid></control><display><type>article</type><title>Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Silva-Junior, João Silvestre da ; Fischer, Frida Marina</creator><contributor>Coyne, James</contributor><creatorcontrib>Silva-Junior, João Silvestre da ; Fischer, Frida Marina ; Coyne, James</creatorcontrib><description>Sickness absence is a socioeconomic global burden. In Brazil, mental disorders are the third leading cause of social security benefits payments. The aim of the present study was to compare factors associated with long-term sickness absence between workers who claimed social benefits due to mental disorders or by other causes. We investigated individual features and occupational characteristics. In addition, we evaluated psychosocial factors at work assessed by the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models, and whether they were associated with long-term sickness absence due to mental disorders (LTSA-MD).
The present case-control study was conducted in São Paulo, Brazil. The sample (n = 385) included workers on sick leave for more than 15 days. Cases were the participants with disabling psychiatric illnesses, and controls were the ones with other disabling diseases. Interviews were conducted to assess individual features (sociodemographic data, health habits/lifestyle, health conditions) and occupational characteristics. The participants' perception of exposure to dimensions of the DCS and ERI models was also recorded. Multiple logistic regressions were performed to evaluate the association between independent variables and LTSA-MD.
All the regression analyses showed that LTSA-MD was associated with female sex, self-reported white skin color, higher education level, high tobacco consumption, high alcohol intake, two or more comorbidities, exposure to violence at work, high job strain and low social support at work, effort-reward imbalance and high overcommitment to work. LTSA-MD was associated with separate and combined DCS and ERI stress models.
Individual features and work conditions were associated with LTSA-MD. Combined analysis of stress models showed that psychosocial factors at work were significantly associated with LTSA-MD. Resourceful use of this information may contribute to the implementation of preventive actions and strategies to facilitate return to work targeting the populations most susceptible to mental disorders.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0115885</identifier><identifier>PMID: 25531900</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Absenteeism ; Absenteeism (Labor) ; Adult ; Aggression ; Alcohol use ; Alcoholic beverages ; Analysis ; Biology and Life Sciences ; Brazil ; Cardiovascular disease ; Case-Control Studies ; Control methods ; Education ; Employee benefits ; Employee motivation ; Employment ; Employment - statistics & numerical data ; Employment - trends ; Environmental health ; Exposure ; Female ; Habits ; Humans ; Illnesses ; Independent variables ; Job stress ; Life Style ; Male ; Medicine and Health Sciences ; Mental disorders ; Mental Disorders - etiology ; Mental Disorders - psychology ; Occupational Diseases - epidemiology ; Occupational Diseases - etiology ; Occupational Diseases - psychology ; Occupational exposure ; Occupational health ; Occupational stress ; Payments ; Psychological aspects ; Public health ; Questionnaires ; Regression analysis ; Reinforcement ; Reward ; Sick leave ; Sick Leave - statistics & numerical data ; Sick Leave - trends ; Skin ; Social aspects ; Social Environment ; Social interactions ; Social Sciences ; Social security ; Social Support ; Sociodemographics ; Stress ; Stress analysis ; Stress, Psychological - complications ; Stress, Psychological - psychology ; Tobacco ; Violence ; Workers ; Working conditions ; Workload - psychology</subject><ispartof>PloS one, 2014-12, Vol.9 (12), p.e115885-e115885</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Silva-Junior, Fischer. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Silva-Junior, Fischer 2014 Silva-Junior, Fischer</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5ce298b043e81078b2f6578c781fe45f7324f9b25fd24fb019058472bb0272033</citedby><cites>FETCH-LOGICAL-c692t-5ce298b043e81078b2f6578c781fe45f7324f9b25fd24fb019058472bb0272033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274157/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274157/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25531900$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Coyne, James</contributor><creatorcontrib>Silva-Junior, João Silvestre da</creatorcontrib><creatorcontrib>Fischer, Frida Marina</creatorcontrib><title>Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Sickness absence is a socioeconomic global burden. In Brazil, mental disorders are the third leading cause of social security benefits payments. The aim of the present study was to compare factors associated with long-term sickness absence between workers who claimed social benefits due to mental disorders or by other causes. We investigated individual features and occupational characteristics. In addition, we evaluated psychosocial factors at work assessed by the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models, and whether they were associated with long-term sickness absence due to mental disorders (LTSA-MD).
The present case-control study was conducted in São Paulo, Brazil. The sample (n = 385) included workers on sick leave for more than 15 days. Cases were the participants with disabling psychiatric illnesses, and controls were the ones with other disabling diseases. Interviews were conducted to assess individual features (sociodemographic data, health habits/lifestyle, health conditions) and occupational characteristics. The participants' perception of exposure to dimensions of the DCS and ERI models was also recorded. Multiple logistic regressions were performed to evaluate the association between independent variables and LTSA-MD.
All the regression analyses showed that LTSA-MD was associated with female sex, self-reported white skin color, higher education level, high tobacco consumption, high alcohol intake, two or more comorbidities, exposure to violence at work, high job strain and low social support at work, effort-reward imbalance and high overcommitment to work. LTSA-MD was associated with separate and combined DCS and ERI stress models.
Individual features and work conditions were associated with LTSA-MD. Combined analysis of stress models showed that psychosocial factors at work were significantly associated with LTSA-MD. Resourceful use of this information may contribute to the implementation of preventive actions and strategies to facilitate return to work targeting the populations most susceptible to mental disorders.</description><subject>Absenteeism</subject><subject>Absenteeism (Labor)</subject><subject>Adult</subject><subject>Aggression</subject><subject>Alcohol use</subject><subject>Alcoholic beverages</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Brazil</subject><subject>Cardiovascular disease</subject><subject>Case-Control Studies</subject><subject>Control methods</subject><subject>Education</subject><subject>Employee benefits</subject><subject>Employee motivation</subject><subject>Employment</subject><subject>Employment - statistics & numerical data</subject><subject>Employment - trends</subject><subject>Environmental health</subject><subject>Exposure</subject><subject>Female</subject><subject>Habits</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Independent variables</subject><subject>Job stress</subject><subject>Life Style</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Mental Disorders - etiology</subject><subject>Mental Disorders - psychology</subject><subject>Occupational Diseases - epidemiology</subject><subject>Occupational Diseases - etiology</subject><subject>Occupational Diseases - psychology</subject><subject>Occupational exposure</subject><subject>Occupational health</subject><subject>Occupational stress</subject><subject>Payments</subject><subject>Psychological aspects</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Reinforcement</subject><subject>Reward</subject><subject>Sick leave</subject><subject>Sick Leave - statistics & numerical data</subject><subject>Sick Leave - trends</subject><subject>Skin</subject><subject>Social aspects</subject><subject>Social Environment</subject><subject>Social interactions</subject><subject>Social Sciences</subject><subject>Social security</subject><subject>Social Support</subject><subject>Sociodemographics</subject><subject>Stress</subject><subject>Stress analysis</subject><subject>Stress, Psychological - complications</subject><subject>Stress, Psychological - psychology</subject><subject>Tobacco</subject><subject>Violence</subject><subject>Workers</subject><subject>Working conditions</subject><subject>Workload - psychology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk0trGzEQx5fS0qRpv0FpFwqlPdjVc1d7KYTQh8EQ6OsqtNLIVrJeOZI2afrpK9ubYJccig4So9_8RzOjKYqXGE0xrfGHCz-EXnXTte9hijDmQvBHxTFuKJlUBNHHe-ej4lmMFwhxKqrqaXFEOKe4Qei4-DP3_WKSIKzK6PRlDzGWqo3QayjNAGXy5Qr6pLrSuOiDgRBLl5EYvXYqgSlvXFqWrjfu2pkhcxZUGgJkpjflOt7qpd-yXXnjw2WpfUaT8318XjyxqovwYtxPip-fP_04-zqZn3-ZnZ3OJ7pqSJpwDaQRLWIUBEa1aImteC10LbAFxm1NCbNNS7g1-dCinBcXrCZti0idc6cnxeud7rrzUY5lixJXtGEN5lWVidmOMF5dyHVwKxVupVdObg0-LKQKyekOJNVGK0sMt8iwtqobARWiQhNKLWtZm7U-jtGGdgVG5-IF1R2IHt70bikX_loyUjPM6yzwbhQI_mqAmOTKRQ1dp3rww-bdDFEimnqDvvkHfTi7kVqonIDrrc9x9UZUnjIsMKkEEpmaPkDlZWDlctPAumw_cHh_4JCZBL_TQg0xytn3b__Pnv86ZN_usUtQXVpG3w3bP3MIsh2og48xgL0vMkZyMyJ31ZCbEZHjiGS3V_sNune6mwn6F-4VDO4</recordid><startdate>20141222</startdate><enddate>20141222</enddate><creator>Silva-Junior, João Silvestre da</creator><creator>Fischer, Frida Marina</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20141222</creationdate><title>Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions</title><author>Silva-Junior, João Silvestre da ; Fischer, Frida Marina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-5ce298b043e81078b2f6578c781fe45f7324f9b25fd24fb019058472bb0272033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Absenteeism</topic><topic>Absenteeism (Labor)</topic><topic>Adult</topic><topic>Aggression</topic><topic>Alcohol use</topic><topic>Alcoholic beverages</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Brazil</topic><topic>Cardiovascular disease</topic><topic>Case-Control Studies</topic><topic>Control methods</topic><topic>Education</topic><topic>Employee benefits</topic><topic>Employee motivation</topic><topic>Employment</topic><topic>Employment - statistics & numerical data</topic><topic>Employment - trends</topic><topic>Environmental health</topic><topic>Exposure</topic><topic>Female</topic><topic>Habits</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Independent variables</topic><topic>Job stress</topic><topic>Life Style</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Mental disorders</topic><topic>Mental Disorders - etiology</topic><topic>Mental Disorders - psychology</topic><topic>Occupational Diseases - epidemiology</topic><topic>Occupational Diseases - etiology</topic><topic>Occupational Diseases - psychology</topic><topic>Occupational exposure</topic><topic>Occupational health</topic><topic>Occupational stress</topic><topic>Payments</topic><topic>Psychological aspects</topic><topic>Public health</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Reinforcement</topic><topic>Reward</topic><topic>Sick leave</topic><topic>Sick Leave - statistics & numerical data</topic><topic>Sick Leave - trends</topic><topic>Skin</topic><topic>Social aspects</topic><topic>Social Environment</topic><topic>Social interactions</topic><topic>Social Sciences</topic><topic>Social security</topic><topic>Social Support</topic><topic>Sociodemographics</topic><topic>Stress</topic><topic>Stress analysis</topic><topic>Stress, Psychological - complications</topic><topic>Stress, Psychological - psychology</topic><topic>Tobacco</topic><topic>Violence</topic><topic>Workers</topic><topic>Working conditions</topic><topic>Workload - psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva-Junior, João Silvestre da</creatorcontrib><creatorcontrib>Fischer, Frida Marina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</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>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva-Junior, João Silvestre da</au><au>Fischer, Frida Marina</au><au>Coyne, James</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-12-22</date><risdate>2014</risdate><volume>9</volume><issue>12</issue><spage>e115885</spage><epage>e115885</epage><pages>e115885-e115885</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Sickness absence is a socioeconomic global burden. In Brazil, mental disorders are the third leading cause of social security benefits payments. The aim of the present study was to compare factors associated with long-term sickness absence between workers who claimed social benefits due to mental disorders or by other causes. We investigated individual features and occupational characteristics. In addition, we evaluated psychosocial factors at work assessed by the Demand-Control-Support (DCS) and Effort-Reward Imbalance (ERI) models, and whether they were associated with long-term sickness absence due to mental disorders (LTSA-MD).
The present case-control study was conducted in São Paulo, Brazil. The sample (n = 385) included workers on sick leave for more than 15 days. Cases were the participants with disabling psychiatric illnesses, and controls were the ones with other disabling diseases. Interviews were conducted to assess individual features (sociodemographic data, health habits/lifestyle, health conditions) and occupational characteristics. The participants' perception of exposure to dimensions of the DCS and ERI models was also recorded. Multiple logistic regressions were performed to evaluate the association between independent variables and LTSA-MD.
All the regression analyses showed that LTSA-MD was associated with female sex, self-reported white skin color, higher education level, high tobacco consumption, high alcohol intake, two or more comorbidities, exposure to violence at work, high job strain and low social support at work, effort-reward imbalance and high overcommitment to work. LTSA-MD was associated with separate and combined DCS and ERI stress models.
Individual features and work conditions were associated with LTSA-MD. Combined analysis of stress models showed that psychosocial factors at work were significantly associated with LTSA-MD. Resourceful use of this information may contribute to the implementation of preventive actions and strategies to facilitate return to work targeting the populations most susceptible to mental disorders.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25531900</pmid><doi>10.1371/journal.pone.0115885</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-12, Vol.9 (12), p.e115885-e115885 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1639491566 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Absenteeism Absenteeism (Labor) Adult Aggression Alcohol use Alcoholic beverages Analysis Biology and Life Sciences Brazil Cardiovascular disease Case-Control Studies Control methods Education Employee benefits Employee motivation Employment Employment - statistics & numerical data Employment - trends Environmental health Exposure Female Habits Humans Illnesses Independent variables Job stress Life Style Male Medicine and Health Sciences Mental disorders Mental Disorders - etiology Mental Disorders - psychology Occupational Diseases - epidemiology Occupational Diseases - etiology Occupational Diseases - psychology Occupational exposure Occupational health Occupational stress Payments Psychological aspects Public health Questionnaires Regression analysis Reinforcement Reward Sick leave Sick Leave - statistics & numerical data Sick Leave - trends Skin Social aspects Social Environment Social interactions Social Sciences Social security Social Support Sociodemographics Stress Stress analysis Stress, Psychological - complications Stress, Psychological - psychology Tobacco Violence Workers Working conditions Workload - psychology |
title | Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T01%3A41%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long-term%20sickness%20absence%20due%20to%20mental%20disorders%20is%20associated%20with%20individual%20features%20and%20psychosocial%20work%20conditions&rft.jtitle=PloS%20one&rft.au=Silva-Junior,%20Jo%C3%A3o%20Silvestre%20da&rft.date=2014-12-22&rft.volume=9&rft.issue=12&rft.spage=e115885&rft.epage=e115885&rft.pages=e115885-e115885&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0115885&rft_dat=%3Cgale_plos_%3EA418126808%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1639491566&rft_id=info:pmid/25531900&rft_galeid=A418126808&rft_doaj_id=oai_doaj_org_article_3cdcaf2d5f0d4b6798e6038c233f4b4b&rfr_iscdi=true |