Association of teleworking and smoking behavior of U.S. wage and salary workers
Introduction The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers. Methods Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobac...
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| Veröffentlicht in: | Journal of Occupational Health 2021-01, Vol.63 (1), p.e12283-n/a |
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| creator | Nargis, Nigar Li, Qing Griffin, Lauren Asare, Samuel Bandi, Priti Majmundar, Anuja Westmaas, J Lee Jemal, Ahmedin |
| description | Introduction
The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.
Methods
Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.
Results
Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p |
| doi_str_mv | 10.1002/1348-9585.12283 |
| format | Article |
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The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.
Methods
Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.
Results
Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p < .001 for all; 0.01, p = .862 for men; −2.40, p < .001 for women) and who worked more frequently from home (−0.21, p < .001 for all; −0.76, p < .001 for men; −0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (−3.39, p = .03 for all; −0.36, p = .90 for men; −4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.
Conclusions
The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation‐related smoking disparities between occupations that are and are not amenable to telecommuting.</description><identifier>ISSN: 1348-9585</identifier><identifier>ISSN: 1341-9145</identifier><identifier>EISSN: 1348-9585</identifier><identifier>DOI: 10.1002/1348-9585.12283</identifier><identifier>PMID: 34599638</identifier><language>eng</language><publisher>Australia: John Wiley & Sons, Inc</publisher><subject>Adolescent ; Adult ; Brief Report ; Brief Reports ; Cigarettes ; Compensation and benefits ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID‐19 pandemic ; Employees ; Epidemics ; Ethnicity ; Family income ; Female ; Health behavior ; Hispanic people ; Humans ; Male ; Marital status ; Middle Aged ; Occupational health ; Occupations ; Occupations - statistics & numerical data ; Pandemics ; Part time employment ; Polls & surveys ; Population ; Prevalence ; Public health ; SARS-CoV-2 ; Smoking ; Smoking - epidemiology ; Smoking and women ; smoking intensity ; smoking prevalence ; Statistical analysis ; Surveys ; Telecommuting ; Teleworking - statistics & numerical data ; Tobacco ; United States - epidemiology ; Wages ; Wages & salaries ; Women ; Workers ; Young Adult</subject><ispartof>Journal of Occupational Health, 2021-01, Vol.63 (1), p.e12283-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>COPYRIGHT 2021 John Wiley & Sons, Inc.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by/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-c6823-dc22396379790746f84eb35e1f6a20bce1799fd8937ccf6d7ce946f51e6f2c5d3</citedby><cites>FETCH-LOGICAL-c6823-dc22396379790746f84eb35e1f6a20bce1799fd8937ccf6d7ce946f51e6f2c5d3</cites><orcidid>0000-0003-4501-1398</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/PMC8487165/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487165/$$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/34599638$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nargis, Nigar</creatorcontrib><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Griffin, Lauren</creatorcontrib><creatorcontrib>Asare, Samuel</creatorcontrib><creatorcontrib>Bandi, Priti</creatorcontrib><creatorcontrib>Majmundar, Anuja</creatorcontrib><creatorcontrib>Westmaas, J Lee</creatorcontrib><creatorcontrib>Jemal, Ahmedin</creatorcontrib><title>Association of teleworking and smoking behavior of U.S. wage and salary workers</title><title>Journal of Occupational Health</title><addtitle>J Occup Health</addtitle><description>Introduction
The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.
Methods
Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.
Results
Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p < .001 for all; 0.01, p = .862 for men; −2.40, p < .001 for women) and who worked more frequently from home (−0.21, p < .001 for all; −0.76, p < .001 for men; −0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (−3.39, p = .03 for all; −0.36, p = .90 for men; −4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.
Conclusions
The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation‐related smoking disparities between occupations that are and are not amenable to telecommuting.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Brief Report</subject><subject>Brief Reports</subject><subject>Cigarettes</subject><subject>Compensation and benefits</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID‐19 pandemic</subject><subject>Employees</subject><subject>Epidemics</subject><subject>Ethnicity</subject><subject>Family income</subject><subject>Female</subject><subject>Health behavior</subject><subject>Hispanic people</subject><subject>Humans</subject><subject>Male</subject><subject>Marital status</subject><subject>Middle Aged</subject><subject>Occupational health</subject><subject>Occupations</subject><subject>Occupations - statistics & numerical data</subject><subject>Pandemics</subject><subject>Part time employment</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Prevalence</subject><subject>Public health</subject><subject>SARS-CoV-2</subject><subject>Smoking</subject><subject>Smoking - epidemiology</subject><subject>Smoking and women</subject><subject>smoking intensity</subject><subject>smoking prevalence</subject><subject>Statistical analysis</subject><subject>Surveys</subject><subject>Telecommuting</subject><subject>Teleworking - statistics & numerical data</subject><subject>Tobacco</subject><subject>United States - epidemiology</subject><subject>Wages</subject><subject>Wages & salaries</subject><subject>Women</subject><subject>Workers</subject><subject>Young 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of teleworking and smoking behavior of U.S. wage and salary workers</title><author>Nargis, Nigar ; Li, Qing ; Griffin, Lauren ; Asare, Samuel ; Bandi, Priti ; Majmundar, Anuja ; Westmaas, J Lee ; Jemal, Ahmedin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6823-dc22396379790746f84eb35e1f6a20bce1799fd8937ccf6d7ce946f51e6f2c5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Brief Report</topic><topic>Brief Reports</topic><topic>Cigarettes</topic><topic>Compensation and benefits</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID‐19 pandemic</topic><topic>Employees</topic><topic>Epidemics</topic><topic>Ethnicity</topic><topic>Family income</topic><topic>Female</topic><topic>Health behavior</topic><topic>Hispanic people</topic><topic>Humans</topic><topic>Male</topic><topic>Marital status</topic><topic>Middle Aged</topic><topic>Occupational health</topic><topic>Occupations</topic><topic>Occupations - statistics & numerical data</topic><topic>Pandemics</topic><topic>Part time employment</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Prevalence</topic><topic>Public health</topic><topic>SARS-CoV-2</topic><topic>Smoking</topic><topic>Smoking - epidemiology</topic><topic>Smoking and women</topic><topic>smoking intensity</topic><topic>smoking prevalence</topic><topic>Statistical analysis</topic><topic>Surveys</topic><topic>Telecommuting</topic><topic>Teleworking - statistics & numerical data</topic><topic>Tobacco</topic><topic>United States - epidemiology</topic><topic>Wages</topic><topic>Wages & salaries</topic><topic>Women</topic><topic>Workers</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nargis, Nigar</creatorcontrib><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Griffin, Lauren</creatorcontrib><creatorcontrib>Asare, Samuel</creatorcontrib><creatorcontrib>Bandi, Priti</creatorcontrib><creatorcontrib>Majmundar, Anuja</creatorcontrib><creatorcontrib>Westmaas, J Lee</creatorcontrib><creatorcontrib>Jemal, Ahmedin</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</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 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Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</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>Nargis, Nigar</au><au>Li, Qing</au><au>Griffin, Lauren</au><au>Asare, Samuel</au><au>Bandi, Priti</au><au>Majmundar, Anuja</au><au>Westmaas, J Lee</au><au>Jemal, Ahmedin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of teleworking and smoking behavior of U.S. wage and salary workers</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>e12283</spage><epage>n/a</epage><pages>e12283-n/a</pages><issn>1348-9585</issn><issn>1341-9145</issn><eissn>1348-9585</eissn><abstract>Introduction
The COVID‐19 pandemic has led to a major shift in workspace from office to home. This report examined how telecommuting is related to smoking behavior of wage and salary workers.
Methods
Self‐reported smoking behavior of 1,390 U.S. wage and salary workers aged 16–64 years from the Tobacco Use Supplement of the Current Population Survey 2018/19 were linked to the 2018 American Time Use Survey. Weighted multivariate logistic regression predicting smoking probability and generalized linear regression predicting smoking intensity were used for analysis.
Results
Almost a fifth (19%) of wage and salary workers reported working from home and over a half (52%) reported working in telecommuting amenable occupations. Nearly 12% were current smokers, smoking 14.7 cigarettes daily on average. Compared to their counterparts, smoking prevalence (percentage points) was lower among those employed in telecommuting amenable occupations (−0.52, p < .001 for all; 0.01, p = .862 for men; −2.40, p < .001 for women) and who worked more frequently from home (−0.21, p < .001 for all; −0.76, p < .001 for men; −0.03, p = .045 for women). Smoking intensity (cigarettes per day) was lower among those employed in telecommuting amenable occupations (−3.39, p = .03 for all; −0.36, p = .90 for men; −4.30, p = .21 for women). We found no statistically significant association between smoking intensity and telecommuting frequency.
Conclusions
The lower likelihood of smoking and lower level of smoking intensity among telecommuting wage and salary workers suggests the need for proactive efforts to address the potential exacerbation in occupation‐related smoking disparities between occupations that are and are not amenable to telecommuting.</abstract><cop>Australia</cop><pub>John Wiley & Sons, Inc</pub><pmid>34599638</pmid><doi>10.1002/1348-9585.12283</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4501-1398</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Brief Report Brief Reports Cigarettes Compensation and benefits Coronaviruses COVID-19 COVID-19 - epidemiology COVID‐19 pandemic Employees Epidemics Ethnicity Family income Female Health behavior Hispanic people Humans Male Marital status Middle Aged Occupational health Occupations Occupations - statistics & numerical data Pandemics Part time employment Polls & surveys Population Prevalence Public health SARS-CoV-2 Smoking Smoking - epidemiology Smoking and women smoking intensity smoking prevalence Statistical analysis Surveys Telecommuting Teleworking - statistics & numerical data Tobacco United States - epidemiology Wages Wages & salaries Women Workers Young Adult |
| title | Association of teleworking and smoking behavior of U.S. wage and salary workers |
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