The association of workplace smoke-free policies on individual smoking and quitting-related behaviours.
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ABSTRACT: Background
Our study aims to provide information about workplace smoke-free (SF) policy coverage in mainland China and to assess the relationship between workplace SF policies and secondhand smoke (SHS) exposure, current smoking, smoking harm awareness and quitting intention among smokers.Method
Data from the 2018 Asia Best Workplace Mainland China programme were used to address these aims. This cross-sectional study included 14,195 employees from the 2018 survey and 14,953 employees from the 2019 survey. Logistic regression with year-fixed effects was applied to these data. The dependent variables were SHS exposure, smoking or smoking harm awareness. The explanatory variable was the SF workplace policy.Results
A total of 21,275 participants (73.0%) reported working under SF policies. The overall prevalence of smoking and SHS exposure were 20.3% and 52.5%, respectively. The workplace SF policy was significantly associated with lower SHS exposure (OR: 0.48, 95% CI: 0.45-0.51), lower current smoking employees (OR: 0.81, 95% CI: 0.76-0.87) and higher awareness of smoking harm (OR: 1.76, 95% CI: 1.61-1.91). However, workplace SF policy was not significantly associated with quitting intention (OR: 0.99, 95% CI: 0.84-1.16).Conclusion
Our study identified that although most companies had established workplace SF policies, the overall prevalence of SHS exposure remained very high. Workplace SF policy is associated with lower SHS exposure, lower overall current smoking and higher awareness of smoking harm. These findings provide valuable evidence to promote such policies in all workplaces.
SUBMITTER: Lin H
PROVIDER: S-EPMC8686617 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:To examine strict smoke-free home policies among smoking parents assessed in pediatric offices.We analyzed baseline parental survey data from 10 control practices in a national trial of pediatric office-based tobacco control interventions (Clinical Effort Against Secondhand Smoke Exposure, CEASE). We used logistic regression models with generalized estimating equations to examine factors associated with strict smoke-free home policies.Subjects were 952 parents who were current smokers. Just over half (54.3%) reported strict smoke-free home policies. Few reported being asked (19.9%) or advised (17.1%) regarding policies by pediatricians. Factors associated with higher odds of policies were child 5 years or younger (adjusted odds ratio [aOR] 2.43, 95% confidence interval [CI] 1.53, 3.86), nonblack race/ethnicity (aORs 2.17-2.60, 95% CIs 1.25-5.00), non-Medicaid (HMO/private (aOR 1.84, 95% CI 1.31, 2.58); self-pay/other aOR 1.76, 95% CI 1.12, 2.78); well-child versus sick child visit (aOR 1.61, 95% CI 1.11, 2.34), fewer than 10 cigarettes per day (aOR 1.80, 95% CI 1.31, 2.47), no other home smokers (aOR 1.68, 95% CI 1.26, 2.25), only father smoking (aOR 1.73, 95% CI 1.06, 2.83), and strict smoke-free car policy (aOR 3.51, 95% CI 2.19, 5.64).Nearly half of smoking parents did not have strict smoke-free home policies. Parents were less likely to report policies if they were heavier smokers, black, living with other smokers, or attending a sick child visit; if they did not have a young child or smoke-free car policy; if they had a child on Medicaid; and if anyone other than only the father smoked. Few pediatricians addressed or recommended strict smoke-free home policies in an office visit. The pediatric office encounter represents a currently missed opportunity to intervene regarding smoke-free homes, particularly for high-risk groups.
| S-EPMC4046861 | biostudies-literature
Project description:IntroductionThe workplace and home are sources of exposure to secondhand smoke, a serious health hazard for nonsmoking adults and children. Smoke-free workplace policies and home rules protect nonsmoking individuals from secondhand smoke and help individuals who smoke to quit smoking. However, estimated population coverages of smoke-free workplace policies and home rules are not typically available at small geographic levels such as counties. Model-based small-area estimation techniques are needed to produce such estimates.MethodsSelf-reported smoke-free workplace policies and home rules data came from the 2014-2015 Tobacco Use Supplement to the Current Population Survey. County-level design-based estimates of the two measures were computed and linked to county-level relevant covariates obtained from external sources. Hierarchical Bayesian models were then built and implemented through Markov Chain Monte Carlo methods.ResultsModel-based estimates of smoke-free workplace policies and home rules were produced for 3134 (of 3143) US counties. In 2014-2015, nearly 80% of US adult workers were covered by smoke-free workplace policies, and more than 85% of US adults were covered by smoke-free home rules. We found large variations within and between states in the coverage of smoke-free workplace policies and home rules.ConclusionsThe small-area modeling approach efficiently reduced the variability that was attributable to small sample size in the direct estimates for counties with data and predicted estimates for counties without data by borrowing strength from covariates and other counties with similar profiles. The county-level modeled estimates can serve as a useful resource for tobacco control research and intervention.ImplicationsDetailed county- and state-level estimates of smoke-free workplace policies and home rules can help identify coverage disparities and differential impact of smoke-free legislation and related social norms. Moreover, this estimation framework can be useful for modeling different tobacco control variables and applied elsewhere, for example, to other behavioral, policy, or health related topics.
| S-EPMC8517964 | biostudies-literature
Project description:(1) Background: Smoking restrictions have been shown to be associated with reduced smoking, but there are a number of gaps in the literature surrounding the relationship between smoke-free policies and cessation, including the extent to which this association may be modified by sociodemographic characteristics. (2) Methods: We analyzed data from the Tobacco Use Supplement to the Current Population Survey, 2003-2015, to explore whether multiple measures of smoking restrictions were associated with cessation across population subgroups. We examined area-based measures of exposure to smoke-free laws, as well as self-reported exposure to workplace smoke-free policies. We used age-stratified, fixed effects logistic regression models to assess the impact of each smoke-free measure on 90-day cessation. Effect modification by gender, education, family income, and race/ethnicity was examined using interaction terms. (3) Results: Coverage by workplace smoke-free laws and self-reported workplace smoke-free policies was associated with higher odds of cessation among respondents ages 40-54. Family income modified the association between smoke-free workplace laws and cessation for women ages 25-39 (the change in the probability of cessation associated with coverage was most pronounced among lower-income women). (4) Conclusions: Heterogeneous associations between policies and cessation suggest that smoke-free policies may have important implications for health equity.
| S-EPMC6747670 | biostudies-literature
Project description:IntroductionSmoking remains a major health risk factor and China is the world's largest consumer of tobacco. Smoke-free policies in public places are a powerful weapon in tobacco control. Therefore, the aim of this study was to assess the association between smoke-free policies in public places and smoking cessation among smokers in China from 2012 to 2020.MethodsIn this study, we assessed the impact of smoke-free public places policies on smoking cessation situation among smokers aged 16 years and older. We do this by conducting a difference-in-differences analysis using data from the China Family Panel Study (CFPS) 2012-2020.FindingsBy 2020, about 60.2% of the cities were covered by partial smoke-free policies and about 38.5% by comprehensive smoke-free policies. Based on the results of the study, we found that the medium-term effect model (Model 2, 2012:2016; Model 3, 2012:2018) of the impact of partial smoke-free policies on smoking cessation was not statistically significant using 2012 as the study baseline; the short-term effect model (Model 1; 2012:2014; P< .01) and the long-term effect model (Model 4; 2012:2020; P< .05) were statistically significant; the effect of a comprehensive smoke-free policy on smoking cessation (Model 5; 2012:2020; P<.05) was statistically significant.ConclusionChina's existing comprehensive smoke-free policies have had a modest impact on smoking cessation among the smoking population, and a strong, comprehensive national smoke-free law is urgently needed to achieve greater public health outcomes.ImplicationsSmoke-free policies are an important intervention to influence smoking behavior. This study demonstrates that comprehensive smoke-free policies in public places in China can effectively influence smoking behavior and show long-term trends in smoke-free behavior, while also reflecting the need to promote comprehensive smoke-free policies. This study provides a basis for the implementation of comprehensive smokefree policies into law and also provides a basis for policy makers.
| S-EPMC10134179 | biostudies-literature
Project description:The increasing denormalization of smoking by tobacco control policies and a normative smoke-free climate may shift power towards adolescent non-smokers. It is unclear, however, how common stigmatization of smokers is among adolescents or how stigmatization relates to the denormalization of smoking in their school and social environment. This paper aims to measure (1) whether stigmatization among European adolescents varies according to smoking status and socioeconomic position (SES), and (2) whether stigmatization is greater in school environments in which smoking is denormalized (i.e. those with low smoking rates and strong school tobacco policies). Data on 12,991 adolescents were collected in 55 schools in seven European countries (SILNE R-survey, 2016/17). We applied Stuber's adapted scale of perceived stereotyping and discrimination towards smokers to smoking status and five variables indicating a power shift towards non-smokers: the school's tobacco control policy (STP) score, the percentage of adolescents in the school who smoke, parents' level of education, students' academic performance, and the percentage of their friends who smoke. Multilevel regressions were applied to the global score for perceived stigmatization. Discrimination against smokers and stereotyping of smokers were frequently reported. Smokers reported less 'perceived stigmatization of smoking' than non-smokers (Beta = -0.146, p < 0.001). High-SES students reported stereotyping and discrimination more frequently than lower-SES students. The perception of stigmatization was lower among students whose academic performance was poor (Beta = -0.070, p < 0.001) and among those who had friends who smoked (Beta = -0.141, p < 0.001). Stigmatization was lower in schools with greater exposure to smoking and was not associated with the school's STP score. Perceived stigmatization of smoking is common among European adolescents. Smokers themselves, however, perceive stigmatization less often than non-smokers. Strong school tobacco policies do not increase stigmatization, but a social environment that is permissive of smoking decreases perceived stigmatization.
| S-EPMC7360046 | biostudies-literature
Project description:Smoking is a major contributor to the disparity in life expectancy between those with and without a mental health condition. Previous work has found associations between individual conditions such as depression and current smoking, cigarette consumption and dependence, but did not compare a range of specific mental disorders. Using data from the nationally-representative Adult Psychiatric Morbidity Survey, we characterised trends in smoking prevalence in the general population in Great Britain and among those with and without mental health conditions for the period 1993-2014. We tested associations across different common mental health conditions (including depression, phobia, generalised anxiety and mixed anxiety and depression), in addition to personality conditions, and heaviness of smoking, desire to quit, perceived difficulty of remaining abstinent and successful cessation within the previous 12 months. Smoking prevalence among those without any mental health condition decreased from 29.3% in 1993 to 19.6% in 2014. Prevalence was higher among those with a condition but fell from 44.6% to 34.1%. Having a mental health condition was associated with current smoking, heavy smoking, difficulty remaining abstinent, desire to quit and perceived difficulty remaining abstinent. The same was found for all conditions individually but the strength and significance of the associations varied. Having any common mental health condition was associated with lower odds of smoking cessation-but not after adjustment for heavy smoking. We found no significant associations between individual conditions and cessation outcomes, however. In summary, smoking prevalence among people with common mental health conditions remained around 50% higher than among those without despite their higher desire to quit. Adequately addressing higher dependence could support cessation and contribute to narrowing health disparities.
| S-EPMC6334164 | biostudies-literature
Project description:This article focuses on the impact of COVID-19 on smoking and smoking cessation behaviours and support for smoke-free zones in Jeddah, Saudi Arabia. A pre-tested structured survey was distributed by email in October-November 2020 to students and staff at the University of Jeddah. Responses were analysed using descriptive statistics with summative content analysis of open text. Participants providing open text comments (n = 374/666; 56.4%) were non-smokers (n = 293; 78.3%), former smokers (n = 26; 7.0%) and current smokers (n = 55; 14.7%). Some had household members (n = 220; 58.8%) and friends who smoke (n = 198; 52.9%) plus daily exposure to secondhand smoke at home (n = 125; 33.4%). There was an awareness during COVID-19 of: smoking inside cafes/restaurants and other indoor and outdoor public places; exposure to warnings in the media both against and promoting smoking; widespread support for smoke-free zones. Smokers plans for accessing smoking cessation support are inconsistent with retrospective reports. Many express positivity highlighting reductions in smoking but there were also negative reports of increased smoking. The COVID-19 pandemic has affected every aspect of society worldwide. People have been at home more with restricted freedom of movement and limitations on social liberty. These individual accounts can help to focus evidence-based smoking prevention and cessation programmes during and post-COVID-19.
| S-EPMC8297188 | biostudies-literature
Project description:ObjectiveTo assess whether being employed in a smoke-free workplace is associated with living in a smoke-free home in 15 low and middle income countries (LMICs).MethodsCountry-specific individual level analyses of cross-sectional Global Adult Tobacco Survey data (2008-2011) from 15 LMICs was conducted using multiple logistic regression. The dependent variable was living in a smoke-free home; the independent variable was being employed in a smoke-free workplace. Analyses were adjusted for age, gender, residence, region, education, occupation, current smoking, current smokeless tobacco use and number of household members. Individual country results were combined in a random effects meta-analysis.ResultsIn each country, the percentage of participants employed in a smoke-free workplace who reported living in a smoke-free home was higher than those employed in a workplace not smoke-free. The adjusted odds ratios (AORs) of living in a smoke-free home among participants employed in a smoke-free workplace (vs. those employed where smoking occurred) were statistically significant in 13 of the 15 countries, ranging from 1.12 [95% CI 0.79-1.58] in Uruguay to 2.29 [1.37-3.83] in China. The pooled AOR was 1.61 [1.46-1.79].ConclusionIn LMICs, employment in a smoke-free workplace is associated with living in a smoke-free home. Accelerated implementation of comprehensive smoke-free policies is likely to result in substantial population health benefits in these settings.
| S-EPMC3898883 | biostudies-literature
Project description:AimsTo investigate to what extent the adoption of local smoke-free policies (SFPs) in Indonesia in 2007-13 was associated with changes in adult smoking behaviour.DesignA quasi-experimental study.SettingIndonesia, 2007 and 2013.ParticipantsA total of 1 052 611 > 25-year-old adults. Data were derived from the 2007 and 2013 Indonesian national health survey.MeasurementsFor both years, provincial and district SFPs were identified from government documents in 497 districts in 33 provinces. Multi-level logistic regression analysis assessed the association of adoption of provincial and district SFPs between 2007 and 2013 with smoking continuation (among ever-smokers), current smoking and high smoking intensity (among current smokers). We controlled for survey year, SFP in 2007, socio-demographics and district characteristics.FindingsProvincial SFP exposure was associated with lower odds of smoking continuation [strong SFP versus no SFP: odds ratio (OR) = 0.71, 95% confidence interval (CI) = 0.66-0.76] and smoking intensity (strong SFP: OR= 0.91, 95% CI = 0.86-0.97), but also with higher odds of current smoking (strong SFP versus no SFP: OR = 1.08; 95% CI = 1.04-1.12). District SFP exposure was associated with higher odds of smoking continuation (strong SFP versus no SFP: OR = 1.07, 95% CI = 1.01-1.14) and current smoking (strong SFP versus no SFP: OR = 1.09, 95% CI = 1.05-1.14), but with lower odds of smoking intensity (moderately strong SFP versus no SFP: OR = 0.95, 95% CI = 0.91-0.99).ConclusionsThere may be an association between the adoption of local smoke-free policies in Indonesia and decreased adult smoking intensity. However, the evidence is inconsistent, which may reflect problems with policy implementation and enforcement.
| S-EPMC7687215 | biostudies-literature
Project description:IntroductionMany European schools implement smoke-free school policies (SFSPs). SFSPs may decrease adolescent smoking by causing adolescents to perceive stronger antismoking norms, yet there exists no quantitative evidence that indicates for which norms and for whom such effects may occur. This study therefore assessed to what extent adolescents' perceived antismoking norms among best friends, teachers, and society at large were associated with SFSPs, and whether these associations were moderated by adolescents' level of school connectedness.Aims and methodsSurvey data were collected in 2016/2017 on 10,653 adolescents aged 14-16 years old and 315 staff members in 55 schools from seven European cities. Associations of adolescent-perceived SFSPs and staff-reported SFSPs with best friend, teacher, and societal antismoking norms were estimated in multilevel logistic regression models, adjusted for demographics and school-level smoking prevalence. We tested for interaction between school connectedness and SFSPs.ResultsAdolescent-perceived SFSPs were positively associated with antismoking norms by teachers (odds ratio [OR]: 1.46, 95% confidence interval [CI]: 1.15-1.85), were negatively associated with antismoking norms by best friends (OR: 0.81, 95% CI: 0.67-0.99), but were not significantly associated with antismoking norms by society at large (OR: 0.87, 95% CI: 0.74-1.02). All interaction tests between adolescent-perceived SFSPs and school connectedness were nonsignificant. Staff-reported SFSPs were not associated with any norm and showed no significant interaction with school connectedness.ConclusionsWe found that SFSPs are associated with adolescents' perception of more antismoking norms by teachers, but less antismoking norms by best friends, irrespective of adolescents' level of school connectedness.ImplicationsSmoke-free school policies, just as many other tobacco control policies, are assumed to foster adolescents' perception of antismoking norms. Still, current evidence does not demonstrate which antismoking norms may be influenced by SFSPs and whether this influence is equal for adolescents with different levels of school connectedness. This study suggests that SFSPs foster adolescents' perception of antismoking norms by teachers, but may concurrently lead to the perception of less antismoking norms by best friends, irrespective of adolescents' school connectedness. SFSPs may therefore need to be complemented with interventions that target antismoking norms in adolescent peer groups.
| S-EPMC7593364 | biostudies-literature