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Effects of a worksite tobacco control intervention in India: the Mumbai worksite tobacco control study, a cluster-randomised trial

ObjectivesWe assessed a worksite intervention designed to promote tobacco control among workers in the manufacturing sector in Greater Mumbai, India.MethodsWe used a cluster-randomised design to test an integrated health promotion/health protection intervention, the Healthy, Safe, and Tobacco-free W...

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Published in:Tobacco control 2017-03, Vol.26 (2), p.210-216
Main Authors: Sorensen, Glorian, Pednekar, Mangesh, Cordeira, Laura Shulman, Pawar, Pratibha, Nagler, Eve M, Stoddard, Anne M, Kim, Hae-Young, Gupta, Prakash C
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cited_by cdi_FETCH-LOGICAL-b555t-6b198eba51531390c6d50193b9be7fbede640688c2b121b0b33048ca11b629953
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container_end_page 216
container_issue 2
container_start_page 210
container_title Tobacco control
container_volume 26
creator Sorensen, Glorian
Pednekar, Mangesh
Cordeira, Laura Shulman
Pawar, Pratibha
Nagler, Eve M
Stoddard, Anne M
Kim, Hae-Young
Gupta, Prakash C
description ObjectivesWe assessed a worksite intervention designed to promote tobacco control among workers in the manufacturing sector in Greater Mumbai, India.MethodsWe used a cluster-randomised design to test an integrated health promotion/health protection intervention, the Healthy, Safe, and Tobacco-free Worksites programme. Between July 2012 and July 2013, we recruited 20 worksites on a rolling basis and randomly assigned them to intervention or delayed-intervention control conditions. The follow-up survey was conducted between December 2013 and November 2014.ResultsThe difference in 30-day quit rates between intervention and control conditions was statistically significant for production workers (OR=2.25, p=0.03), although not for the overall sample (OR=1.70; p=0.12). The intervention resulted in a doubling of the 6-month cessation rates among workers in the intervention worksites compared to those in the control, for production workers (OR=2.29; p=0.07) and for the overall sample (OR=1.81; p=0.13), but the difference did not reach statistical significance.ConclusionsThese findings demonstrate the potential impact of a tobacco control intervention that combined tobacco control and health protection programming within Indian manufacturing worksites.Trial registration numberNCT01841879.
doi_str_mv 10.1136/tobaccocontrol-2015-052671
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Between July 2012 and July 2013, we recruited 20 worksites on a rolling basis and randomly assigned them to intervention or delayed-intervention control conditions. The follow-up survey was conducted between December 2013 and November 2014.ResultsThe difference in 30-day quit rates between intervention and control conditions was statistically significant for production workers (OR=2.25, p=0.03), although not for the overall sample (OR=1.70; p=0.12). The intervention resulted in a doubling of the 6-month cessation rates among workers in the intervention worksites compared to those in the control, for production workers (OR=2.29; p=0.07) and for the overall sample (OR=1.81; p=0.13), but the difference did not reach statistical significance.ConclusionsThese findings demonstrate the potential impact of a tobacco control intervention that combined tobacco control and health protection programming within Indian manufacturing worksites.Trial registration numberNCT01841879.</description><identifier>ISSN: 0964-4563</identifier><identifier>EISSN: 1468-3318</identifier><identifier>DOI: 10.1136/tobaccocontrol-2015-052671</identifier><identifier>PMID: 26883793</identifier><language>eng</language><publisher>England: BMJ Publishing Group</publisher><subject>Abstinence ; Adult ; Blue collar workers ; Cancer ; Cluster Analysis ; Female ; Follow-Up Studies ; Health care ; Health education ; Health promotion ; Health Promotion - methods ; Humans ; India ; Intervention ; Male ; Manufacturing ; Manufacturing industry ; Middle Aged ; Occupational safety ; Public health ; Smoke-Free Policy ; Smoking ; Smoking - epidemiology ; Smoking Cessation - statistics &amp; numerical data ; Smoking Prevention - methods ; Social norms ; Surveys and Questionnaires ; Tobacco ; Workplace</subject><ispartof>Tobacco control, 2017-03, Vol.26 (2), p.210-216</ispartof><rights>Published by the BMJ Publishing Group Limited. 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Between July 2012 and July 2013, we recruited 20 worksites on a rolling basis and randomly assigned them to intervention or delayed-intervention control conditions. The follow-up survey was conducted between December 2013 and November 2014.ResultsThe difference in 30-day quit rates between intervention and control conditions was statistically significant for production workers (OR=2.25, p=0.03), although not for the overall sample (OR=1.70; p=0.12). The intervention resulted in a doubling of the 6-month cessation rates among workers in the intervention worksites compared to those in the control, for production workers (OR=2.29; p=0.07) and for the overall sample (OR=1.81; p=0.13), but the difference did not reach statistical significance.ConclusionsThese findings demonstrate the potential impact of a tobacco control intervention that combined tobacco control and health protection programming within Indian manufacturing worksites.Trial registration numberNCT01841879.</description><subject>Abstinence</subject><subject>Adult</subject><subject>Blue collar workers</subject><subject>Cancer</subject><subject>Cluster Analysis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Health care</subject><subject>Health education</subject><subject>Health promotion</subject><subject>Health Promotion - methods</subject><subject>Humans</subject><subject>India</subject><subject>Intervention</subject><subject>Male</subject><subject>Manufacturing</subject><subject>Manufacturing industry</subject><subject>Middle Aged</subject><subject>Occupational safety</subject><subject>Public health</subject><subject>Smoke-Free Policy</subject><subject>Smoking</subject><subject>Smoking - epidemiology</subject><subject>Smoking Cessation - statistics &amp; 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Between July 2012 and July 2013, we recruited 20 worksites on a rolling basis and randomly assigned them to intervention or delayed-intervention control conditions. The follow-up survey was conducted between December 2013 and November 2014.ResultsThe difference in 30-day quit rates between intervention and control conditions was statistically significant for production workers (OR=2.25, p=0.03), although not for the overall sample (OR=1.70; p=0.12). The intervention resulted in a doubling of the 6-month cessation rates among workers in the intervention worksites compared to those in the control, for production workers (OR=2.29; p=0.07) and for the overall sample (OR=1.81; p=0.13), but the difference did not reach statistical significance.ConclusionsThese findings demonstrate the potential impact of a tobacco control intervention that combined tobacco control and health protection programming within Indian manufacturing worksites.Trial registration numberNCT01841879.</abstract><cop>England</cop><pub>BMJ Publishing Group</pub><pmid>26883793</pmid><doi>10.1136/tobaccocontrol-2015-052671</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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ispartof Tobacco control, 2017-03, Vol.26 (2), p.210-216
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source JSTOR Archival Journals and Primary Sources Collection
subjects Abstinence
Adult
Blue collar workers
Cancer
Cluster Analysis
Female
Follow-Up Studies
Health care
Health education
Health promotion
Health Promotion - methods
Humans
India
Intervention
Male
Manufacturing
Manufacturing industry
Middle Aged
Occupational safety
Public health
Smoke-Free Policy
Smoking
Smoking - epidemiology
Smoking Cessation - statistics & numerical data
Smoking Prevention - methods
Social norms
Surveys and Questionnaires
Tobacco
Workplace
title Effects of a worksite tobacco control intervention in India: the Mumbai worksite tobacco control study, a cluster-randomised trial
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