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Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey
Background Surveillance is needed to capture work organization characteristics and to identify their trends. Methods Data from the 2010 National Health Interview Survey (NHIS) were used to calculate prevalence rates for four work organization characteristics (long work hours, non‐standard work arran...
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| Published in: | American journal of industrial medicine 2013-06, Vol.56 (6), p.647-659 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c6158-f94c9a9bac04747ed181df21e4f94d324d634bfcd01246f033d3631fcc72bf453 |
| container_end_page | 659 |
| container_issue | 6 |
| container_start_page | 647 |
| container_title | American journal of industrial medicine |
| container_volume | 56 |
| creator | Alterman, Toni Luckhaupt, Sara E. Dahlhamer, James M. Ward, Brian W. Calvert, Geoffrey M. |
| description | Background
Surveillance is needed to capture work organization characteristics and to identify their trends.
Methods
Data from the 2010 National Health Interview Survey (NHIS) were used to calculate prevalence rates for four work organization characteristics (long work hours, non‐standard work arrangements, temporary positions, and alternative shifts) overall, and by demographic characteristics, and industry and occupation of current/recent employment.
Results
Data were available for 27,157 adults, of which 65% were current/recent workers. Among adults who worked in the past 12 months, 18.7% worked 48 hr or more per week, 7.2% worked 60 hr or more per week, 18.7% had non‐standard work arrangements, 7.2% were in temporary positions, and 28.7% worked an alternative shift.
Conclusions
Prevalence rates of work organization characteristics are provided. These national estimates can be used to help occupational health professionals and employers to identify emerging occupational safety and health risks, allow researchers to examine associations with health, and use the data for benchmarking. Am. J. Ind. Med. 56:647–659, 2013. © 2012 Wiley Periodicals, Inc. |
| doi_str_mv | 10.1002/ajim.22108 |
| format | article |
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Surveillance is needed to capture work organization characteristics and to identify their trends.
Methods
Data from the 2010 National Health Interview Survey (NHIS) were used to calculate prevalence rates for four work organization characteristics (long work hours, non‐standard work arrangements, temporary positions, and alternative shifts) overall, and by demographic characteristics, and industry and occupation of current/recent employment.
Results
Data were available for 27,157 adults, of which 65% were current/recent workers. Among adults who worked in the past 12 months, 18.7% worked 48 hr or more per week, 7.2% worked 60 hr or more per week, 18.7% had non‐standard work arrangements, 7.2% were in temporary positions, and 28.7% worked an alternative shift.
Conclusions
Prevalence rates of work organization characteristics are provided. These national estimates can be used to help occupational health professionals and employers to identify emerging occupational safety and health risks, allow researchers to examine associations with health, and use the data for benchmarking. Am. J. Ind. Med. 56:647–659, 2013. © 2012 Wiley Periodicals, Inc.</description><identifier>ISSN: 0271-3586</identifier><identifier>EISSN: 1097-0274</identifier><identifier>DOI: 10.1002/ajim.22108</identifier><identifier>PMID: 22911666</identifier><identifier>CODEN: AJIMD8</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adult ; Age Distribution ; Aged ; Biological and medical sciences ; Confidence Intervals ; Employment - organization & administration ; Female ; Health Surveys ; Humans ; Industry - organization & administration ; Interviews as Topic ; job stress ; Legislation. Organization ; long work hours ; Male ; Medical sciences ; Middle Aged ; national survey ; non-standard work arrangements ; Occupational Diseases - epidemiology ; occupational health ; Occupational medicine ; Organizational Innovation ; Prevalence ; Public health. Hygiene-occupational medicine ; Risk Assessment ; Sex Distribution ; shift work ; Socioeconomic Factors ; surveillance ; temporary work ; United States ; work organization ; Work Schedule Tolerance ; Workplace - organization & administration ; Young Adult</subject><ispartof>American journal of industrial medicine, 2013-06, Vol.56 (6), p.647-659</ispartof><rights>Copyright © 2012 Wiley Periodicals, Inc.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6158-f94c9a9bac04747ed181df21e4f94d324d634bfcd01246f033d3631fcc72bf453</citedby><cites>FETCH-LOGICAL-c6158-f94c9a9bac04747ed181df21e4f94d324d634bfcd01246f033d3631fcc72bf453</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27382153$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22911666$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alterman, Toni</creatorcontrib><creatorcontrib>Luckhaupt, Sara E.</creatorcontrib><creatorcontrib>Dahlhamer, James M.</creatorcontrib><creatorcontrib>Ward, Brian W.</creatorcontrib><creatorcontrib>Calvert, Geoffrey M.</creatorcontrib><title>Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey</title><title>American journal of industrial medicine</title><addtitle>Am. J. Ind. Med</addtitle><description>Background
Surveillance is needed to capture work organization characteristics and to identify their trends.
Methods
Data from the 2010 National Health Interview Survey (NHIS) were used to calculate prevalence rates for four work organization characteristics (long work hours, non‐standard work arrangements, temporary positions, and alternative shifts) overall, and by demographic characteristics, and industry and occupation of current/recent employment.
Results
Data were available for 27,157 adults, of which 65% were current/recent workers. Among adults who worked in the past 12 months, 18.7% worked 48 hr or more per week, 7.2% worked 60 hr or more per week, 18.7% had non‐standard work arrangements, 7.2% were in temporary positions, and 28.7% worked an alternative shift.
Conclusions
Prevalence rates of work organization characteristics are provided. These national estimates can be used to help occupational health professionals and employers to identify emerging occupational safety and health risks, allow researchers to examine associations with health, and use the data for benchmarking. Am. J. Ind. Med. 56:647–659, 2013. © 2012 Wiley Periodicals, Inc.</description><subject>Adult</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Confidence Intervals</subject><subject>Employment - organization & administration</subject><subject>Female</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Industry - organization & administration</subject><subject>Interviews as Topic</subject><subject>job stress</subject><subject>Legislation. Organization</subject><subject>long work hours</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>national survey</subject><subject>non-standard work arrangements</subject><subject>Occupational Diseases - epidemiology</subject><subject>occupational health</subject><subject>Occupational medicine</subject><subject>Organizational Innovation</subject><subject>Prevalence</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk Assessment</subject><subject>Sex Distribution</subject><subject>shift work</subject><subject>Socioeconomic Factors</subject><subject>surveillance</subject><subject>temporary work</subject><subject>United States</subject><subject>work organization</subject><subject>Work Schedule Tolerance</subject><subject>Workplace - organization & administration</subject><subject>Young Adult</subject><issn>0271-3586</issn><issn>1097-0274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kltvEzEQhS0EoiHwwg9AlhASQtrg23p3-4BUFdoESkAqLY_WxOtNnO6ui71JCM_8cJxLw-WBp5E835w5mmOEnlIyoISw1zC3zYAxSvJ7qEdJkSWEZeI-6sVCE57m8gg9CmFOCKVCiofoiLGCUillD_387M0SatNqgz10JmBX4ZXzN9j5KbT2B3TWtVjPwIPujLehszpgaFw73XLGB2xb3M0MvhpcDo7xW-gAV9412zdGKMHjrQjUeGig7mZ41EalpTUrfLnwS7N-jB5UUAfzZF_76Ors3ZfTYXLx6Xx0enKRaEnTPKkKoQsoJqCJyERmSprTsmLUiNgpOROl5GJS6ZJQJmRFOC-55LTSOmOTSqS8j97sdG8Xk8aU2rSdh1rdetuAXysHVv3dae1MTd1SiTTNsqjXRy_3At59W5jQqcYGbeoaWuMWQdFUEsozUuQRff4POncLH4-woViesrSgG0evdpT2LgRvqoMZStQmXLUJV23DjfCzP-0f0Ls0I_BiD0DQUFceWm3Dby7jOYtLI0d33MrWZv2flerk_ejj3fJkNxN_gPl-mAF_o2TGs1R9HZ-rMz68vv4gx0ryXw25zCU</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Alterman, Toni</creator><creator>Luckhaupt, Sara E.</creator><creator>Dahlhamer, James M.</creator><creator>Ward, Brian W.</creator><creator>Calvert, Geoffrey M.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley-Liss</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</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>7T2</scope><scope>7U7</scope><scope>C1K</scope><scope>7U1</scope><scope>7U2</scope><scope>5PM</scope></search><sort><creationdate>201306</creationdate><title>Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey</title><author>Alterman, Toni ; Luckhaupt, Sara E. ; Dahlhamer, James M. ; Ward, Brian W. ; Calvert, Geoffrey M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6158-f94c9a9bac04747ed181df21e4f94d324d634bfcd01246f033d3631fcc72bf453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Confidence Intervals</topic><topic>Employment - organization & administration</topic><topic>Female</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Industry - organization & administration</topic><topic>Interviews as Topic</topic><topic>job stress</topic><topic>Legislation. Organization</topic><topic>long work hours</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>national survey</topic><topic>non-standard work arrangements</topic><topic>Occupational Diseases - epidemiology</topic><topic>occupational health</topic><topic>Occupational medicine</topic><topic>Organizational Innovation</topic><topic>Prevalence</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk Assessment</topic><topic>Sex Distribution</topic><topic>shift work</topic><topic>Socioeconomic Factors</topic><topic>surveillance</topic><topic>temporary work</topic><topic>United States</topic><topic>work organization</topic><topic>Work Schedule Tolerance</topic><topic>Workplace - organization & administration</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alterman, Toni</creatorcontrib><creatorcontrib>Luckhaupt, Sara E.</creatorcontrib><creatorcontrib>Dahlhamer, James M.</creatorcontrib><creatorcontrib>Ward, Brian W.</creatorcontrib><creatorcontrib>Calvert, Geoffrey M.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of industrial medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alterman, Toni</au><au>Luckhaupt, Sara E.</au><au>Dahlhamer, James M.</au><au>Ward, Brian W.</au><au>Calvert, Geoffrey M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey</atitle><jtitle>American journal of industrial medicine</jtitle><addtitle>Am. J. Ind. Med</addtitle><date>2013-06</date><risdate>2013</risdate><volume>56</volume><issue>6</issue><spage>647</spage><epage>659</epage><pages>647-659</pages><issn>0271-3586</issn><eissn>1097-0274</eissn><coden>AJIMD8</coden><abstract>Background
Surveillance is needed to capture work organization characteristics and to identify their trends.
Methods
Data from the 2010 National Health Interview Survey (NHIS) were used to calculate prevalence rates for four work organization characteristics (long work hours, non‐standard work arrangements, temporary positions, and alternative shifts) overall, and by demographic characteristics, and industry and occupation of current/recent employment.
Results
Data were available for 27,157 adults, of which 65% were current/recent workers. Among adults who worked in the past 12 months, 18.7% worked 48 hr or more per week, 7.2% worked 60 hr or more per week, 18.7% had non‐standard work arrangements, 7.2% were in temporary positions, and 28.7% worked an alternative shift.
Conclusions
Prevalence rates of work organization characteristics are provided. These national estimates can be used to help occupational health professionals and employers to identify emerging occupational safety and health risks, allow researchers to examine associations with health, and use the data for benchmarking. Am. J. Ind. Med. 56:647–659, 2013. © 2012 Wiley Periodicals, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>22911666</pmid><doi>10.1002/ajim.22108</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | American journal of industrial medicine, 2013-06, Vol.56 (6), p.647-659 |
| issn | 0271-3586 1097-0274 |
| language | eng |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Adult Age Distribution Aged Biological and medical sciences Confidence Intervals Employment - organization & administration Female Health Surveys Humans Industry - organization & administration Interviews as Topic job stress Legislation. Organization long work hours Male Medical sciences Middle Aged national survey non-standard work arrangements Occupational Diseases - epidemiology occupational health Occupational medicine Organizational Innovation Prevalence Public health. Hygiene-occupational medicine Risk Assessment Sex Distribution shift work Socioeconomic Factors surveillance temporary work United States work organization Work Schedule Tolerance Workplace - organization & administration Young Adult |
| title | Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey |
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