The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea
Objectives This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey. Methods We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were a...
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| Veröffentlicht in: | Journal of occupational health 2021-01, Vol.63 (1), p.e12280-n/a |
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| creator | Lee, Dong‐Wook Jang, Tae‐Won Kim, Hyoung‐Ryoul Kang, Mo‐Yeol |
| description | Objectives
This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.
Methods
We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (52) were calculated, using generalized estimating equation models considering repeated measures.
Results
Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.
Conclusion
Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. |
| doi_str_mv | 10.1002/1348-9585.12280 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8477655</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2614969152</sourcerecordid><originalsourceid>FETCH-LOGICAL-c6430-d11c0185014f8775f9f2dc693f97abd500a37b8c24540b09c12fe91d157ffa833</originalsourceid><addsrcrecordid>eNqFkc1O3DAURi3UqlDaNTtkqesB_8SJzaJShaC0RWJD15YTXxNDxg52MqPZ8Qg8Y5-kmYaO6KorW_bx8b33Q-iIkhNKCDulvJALJaQ4oYxJsocOdidvXu330fuc7wnhjEv-Du3zQkhGlDhA69sWcILODD6G3Poe1zCsAQJex_Tgwx1u45gyNsHizjvIw6aDiWnNyseUz_DFylsIDWCX4hIb3Md-nG2_np5rk8Hi3gTocB5Gu8E-4B8xgfmA3jrTZfj4sh6in5cXt-dXi-ubr9_Ov1wvmrLgZGEpbQiVgtDCyaoSTjlmm1JxpypTW0GI4VUtG1aIgtRENZQ5UNRSUTlnJOeH6PPs7cd6CbaBMCTT6T75pUkbHY3X_94E3-q7uNKyqKpSiEnw6UWQ4uM49a_vp4GEqWbNSlqoUlHBJup0ppoUc07gdj9QordJ6W0WepuF_pPU9OL4dWE7_m80E1DOwNp3sPmfT3-_uWKz-TfrHqEn</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2614969152</pqid></control><display><type>article</type><title>The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea</title><source>J-STAGE Free</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Access via Oxford University Press (Open Access Collection)</source><source>Access via Wiley Online Library</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Lee, Dong‐Wook ; Jang, Tae‐Won ; Kim, Hyoung‐Ryoul ; Kang, Mo‐Yeol</creator><creatorcontrib>Lee, Dong‐Wook ; Jang, Tae‐Won ; Kim, Hyoung‐Ryoul ; Kang, Mo‐Yeol</creatorcontrib><description>Objectives
This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.
Methods
We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (<40, 40, 41–52, and >52) were calculated, using generalized estimating equation models considering repeated measures.
Results
Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.
Conclusion
Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep.</description><identifier>ISSN: 1348-9585</identifier><identifier>ISSN: 1341-9145</identifier><identifier>EISSN: 1348-9585</identifier><identifier>DOI: 10.1002/1348-9585.12280</identifier><identifier>PMID: 34582095</identifier><language>eng</language><publisher>Australia: John Wiley & Sons, Inc</publisher><subject>Adult ; Alcohol ; alcohol drinking ; Alcohol Drinking - epidemiology ; Alcohol use ; Cardiovascular disease ; Cigarette smoking ; Cigarette Smoking - epidemiology ; Cigarettes ; Confidence intervals ; Diabetes ; Drinking behavior ; Education ; Employees ; Exercise ; Family income ; Female ; Health behavior ; Health Risk Behaviors ; Health Surveys ; Households ; Humans ; Hypertension ; Life Style ; Lifestyles ; long working hours ; Longitudinal studies ; Male ; Middle Aged ; Mortality ; Occupational health ; Occupations ; Original ; Overtime ; Physical fitness ; Population studies ; Population-based studies ; Republic of Korea - epidemiology ; Risk analysis ; Risk factors ; Sedentary Behavior ; Self Report ; Sleep ; Sleep Deprivation - epidemiology ; Smoking ; Socioeconomic factors ; Variables ; Work Schedule Tolerance ; Working hours ; Young Adult</subject><ispartof>Journal of occupational health, 2021-01, Vol.63 (1), p.e12280-n/a</ispartof><rights>2021 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health</rights><rights>2021 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6430-d11c0185014f8775f9f2dc693f97abd500a37b8c24540b09c12fe91d157ffa833</citedby><cites>FETCH-LOGICAL-c6430-d11c0185014f8775f9f2dc693f97abd500a37b8c24540b09c12fe91d157ffa833</cites><orcidid>0000-0001-7535-3140 ; 0000-0002-1682-865X ; 0000-0002-4023-3269 ; 0000-0003-2624-3257</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/PMC8477655/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477655/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,1417,27924,27925,45574,45575,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34582095$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Dong‐Wook</creatorcontrib><creatorcontrib>Jang, Tae‐Won</creatorcontrib><creatorcontrib>Kim, Hyoung‐Ryoul</creatorcontrib><creatorcontrib>Kang, Mo‐Yeol</creatorcontrib><title>The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea</title><title>Journal of occupational health</title><addtitle>J Occup Health</addtitle><description>Objectives
This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.
Methods
We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (<40, 40, 41–52, and >52) were calculated, using generalized estimating equation models considering repeated measures.
Results
Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.
Conclusion
Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep.</description><subject>Adult</subject><subject>Alcohol</subject><subject>alcohol drinking</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcohol use</subject><subject>Cardiovascular disease</subject><subject>Cigarette smoking</subject><subject>Cigarette Smoking - epidemiology</subject><subject>Cigarettes</subject><subject>Confidence intervals</subject><subject>Diabetes</subject><subject>Drinking behavior</subject><subject>Education</subject><subject>Employees</subject><subject>Exercise</subject><subject>Family income</subject><subject>Female</subject><subject>Health behavior</subject><subject>Health Risk Behaviors</subject><subject>Health Surveys</subject><subject>Households</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>long working hours</subject><subject>Longitudinal studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Occupational health</subject><subject>Occupations</subject><subject>Original</subject><subject>Overtime</subject><subject>Physical fitness</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>Republic of Korea - epidemiology</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Sedentary Behavior</subject><subject>Self Report</subject><subject>Sleep</subject><subject>Sleep Deprivation - epidemiology</subject><subject>Smoking</subject><subject>Socioeconomic factors</subject><subject>Variables</subject><subject>Work Schedule Tolerance</subject><subject>Working hours</subject><subject>Young Adult</subject><issn>1348-9585</issn><issn>1341-9145</issn><issn>1348-9585</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkc1O3DAURi3UqlDaNTtkqesB_8SJzaJShaC0RWJD15YTXxNDxg52MqPZ8Qg8Y5-kmYaO6KorW_bx8b33Q-iIkhNKCDulvJALJaQ4oYxJsocOdidvXu330fuc7wnhjEv-Du3zQkhGlDhA69sWcILODD6G3Poe1zCsAQJex_Tgwx1u45gyNsHizjvIw6aDiWnNyseUz_DFylsIDWCX4hIb3Md-nG2_np5rk8Hi3gTocB5Gu8E-4B8xgfmA3jrTZfj4sh6in5cXt-dXi-ubr9_Ov1wvmrLgZGEpbQiVgtDCyaoSTjlmm1JxpypTW0GI4VUtG1aIgtRENZQ5UNRSUTlnJOeH6PPs7cd6CbaBMCTT6T75pUkbHY3X_94E3-q7uNKyqKpSiEnw6UWQ4uM49a_vp4GEqWbNSlqoUlHBJup0ppoUc07gdj9QordJ6W0WepuF_pPU9OL4dWE7_m80E1DOwNp3sPmfT3-_uWKz-TfrHqEn</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Lee, Dong‐Wook</creator><creator>Jang, Tae‐Won</creator><creator>Kim, Hyoung‐Ryoul</creator><creator>Kang, Mo‐Yeol</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><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>7RV</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U7</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>K60</scope><scope>K6~</scope><scope>KB0</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7535-3140</orcidid><orcidid>https://orcid.org/0000-0002-1682-865X</orcidid><orcidid>https://orcid.org/0000-0002-4023-3269</orcidid><orcidid>https://orcid.org/0000-0003-2624-3257</orcidid></search><sort><creationdate>202101</creationdate><title>The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea</title><author>Lee, Dong‐Wook ; Jang, Tae‐Won ; Kim, Hyoung‐Ryoul ; Kang, Mo‐Yeol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6430-d11c0185014f8775f9f2dc693f97abd500a37b8c24540b09c12fe91d157ffa833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Alcohol</topic><topic>alcohol drinking</topic><topic>Alcohol Drinking - epidemiology</topic><topic>Alcohol use</topic><topic>Cardiovascular disease</topic><topic>Cigarette smoking</topic><topic>Cigarette Smoking - epidemiology</topic><topic>Cigarettes</topic><topic>Confidence intervals</topic><topic>Diabetes</topic><topic>Drinking behavior</topic><topic>Education</topic><topic>Employees</topic><topic>Exercise</topic><topic>Family income</topic><topic>Female</topic><topic>Health behavior</topic><topic>Health Risk Behaviors</topic><topic>Health Surveys</topic><topic>Households</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>long working hours</topic><topic>Longitudinal studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Occupational health</topic><topic>Occupations</topic><topic>Original</topic><topic>Overtime</topic><topic>Physical fitness</topic><topic>Population studies</topic><topic>Population-based studies</topic><topic>Republic of Korea - epidemiology</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Sedentary Behavior</topic><topic>Self Report</topic><topic>Sleep</topic><topic>Sleep Deprivation - epidemiology</topic><topic>Smoking</topic><topic>Socioeconomic factors</topic><topic>Variables</topic><topic>Work Schedule Tolerance</topic><topic>Working hours</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Dong‐Wook</creatorcontrib><creatorcontrib>Jang, Tae‐Won</creatorcontrib><creatorcontrib>Kim, Hyoung‐Ryoul</creatorcontrib><creatorcontrib>Kang, Mo‐Yeol</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><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>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</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 Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of occupational health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Dong‐Wook</au><au>Jang, Tae‐Won</au><au>Kim, Hyoung‐Ryoul</au><au>Kang, Mo‐Yeol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea</atitle><jtitle>Journal of occupational health</jtitle><addtitle>J Occup Health</addtitle><date>2021-01</date><risdate>2021</risdate><volume>63</volume><issue>1</issue><spage>e12280</spage><epage>n/a</epage><pages>e12280-n/a</pages><issn>1348-9585</issn><issn>1341-9145</issn><eissn>1348-9585</eissn><abstract>Objectives
This study aimed to investigate the relationship between working hours and lifestyle behaviors using data from a large nationally representative panel survey.
Methods
We used the Korea Health Panel Study (KHPS) data from 2011 to 2014. Weekly working hours and lifestyle risk factors were assessed by questionnaires. Comparing to the reference group, the weekly working hours were 40 h per week, odds ratios and 95% confidence intervals for smoking status, alcohol consumption status, and regular exercise status of other weekly working hours groups (<40, 40, 41–52, and >52) were calculated, using generalized estimating equation models considering repeated measures.
Results
Our findings clearly showed a relationship between long working hours and unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep. Additionally, weekly working hours are positively associated with the amount of smoking and drinking, and inversely associated with sleep duration among those who worked 40 h or more per week.
Conclusion
Long working hours are associated with unhealthy lifestyles, such as cigarette smoking, alcohol consumption, physical inactivity, and insufficient sleep.</abstract><cop>Australia</cop><pub>John Wiley & Sons, Inc</pub><pmid>34582095</pmid><doi>10.1002/1348-9585.12280</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-7535-3140</orcidid><orcidid>https://orcid.org/0000-0002-1682-865X</orcidid><orcidid>https://orcid.org/0000-0002-4023-3269</orcidid><orcidid>https://orcid.org/0000-0003-2624-3257</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of occupational health, 2021-01, Vol.63 (1), p.e12280-n/a |
| issn | 1348-9585 1341-9145 1348-9585 |
| language | eng |
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| source | J-STAGE Free; MEDLINE; DOAJ Directory of Open Access Journals; Access via Oxford University Press (Open Access Collection); Access via Wiley Online Library; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Adult Alcohol alcohol drinking Alcohol Drinking - epidemiology Alcohol use Cardiovascular disease Cigarette smoking Cigarette Smoking - epidemiology Cigarettes Confidence intervals Diabetes Drinking behavior Education Employees Exercise Family income Female Health behavior Health Risk Behaviors Health Surveys Households Humans Hypertension Life Style Lifestyles long working hours Longitudinal studies Male Middle Aged Mortality Occupational health Occupations Original Overtime Physical fitness Population studies Population-based studies Republic of Korea - epidemiology Risk analysis Risk factors Sedentary Behavior Self Report Sleep Sleep Deprivation - epidemiology Smoking Socioeconomic factors Variables Work Schedule Tolerance Working hours Young Adult |
| title | The relationship between working hours and lifestyle behaviors: Evidence from a population‐based panel study in Korea |
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