Partner smoking characteristics: Associations with smoking and quitting among blue-collar apprentices

Health-Related Quality of Life Among Pregnant Women With Pre-pregnancy Smoking and Smoking Cessation During Pregnancy in China: National Cross-sectional Study

Background

Previous studies have hardly explored the influence of pre-pregnancy smoking and smoking cessation during pregnancy on the health-related quality of life (HRQoL) of pregnant women, which is a topic that need to be addressed. In addition, pregnant women in China constitute a big population in the largest developing country of the world and cannot be neglected.

Objective

This study aims to evaluate the HRQoL of pregnant women in China with different smoking statuses and further estimate the association between pre-pregnancy smoking, smoking cessation, and the HRQoL.

Methods

A nationwide cross-sectional study was conducted to determine the association between different smoking statuses (smoking currently, quit smoking, never smoking) and the HRQoL in pregnant women across mainland China. A web-based questionnaire was delivered through the Banmi Online Maternity School platform, including questions about demographics, smoking status, and the HRQoL. EuroQoL Group’s 5-dimension 5-level (EQ-5D-5L) scale with EuroQoL Group’s visual analog scale (EQ-VAS) was used for measuring the HRQoL. Ethical approval was granted by the institutional review board of the First Affiliated Hospital of Sun Yat-sen University (ICE-2017-296).

Results

From August to September 2019, a total of 16,483 participants from 31 provinces were included, of which 93 (0.56%) were smokers, 731 (4.43%) were ex-smokers, and 15,659 (95%) were nonsmokers. Nonsmokers had the highest EQ-VAS score (mean 84.49, SD 14.84), smokers had the lowest EQ-VAS score (mean 77.38, SD 21.99), and the EQ-VAS score for ex-smokers was in between (mean 81.04, SD 17.68). A significant difference in EQ-VAS scores was detected between nonsmokers and ex-smokers (P<.001), which indicated that pre-pregnancy smoking does have a negative impact on the HRQoL (EQ-VAS) of pregnant women. Compared with nonsmokers, ex-smokers suffered from more anxiety/depression problems (P=.001, odds ratio [OR] 1.29, 95% CI 1.12-1.50). Among ex-smokers, the increased cigarette consumption was associated with a lower EQ-5D index (P=.007) and EQ-VAS score (P=.01) of pregnant women. Compared to smokers, no significant difference was found in the ex-smokers’ EQ-5D index and EQ-VAS score (P=.33).

Conclusions

Smoking history is associated with a lower HRQoL in pregnant Chinese women. Pre-pregnancy smoking is related to a lower HRQoL (EQ-VAS) and a higher incidence of depression/anxiety problems. Smoking cessation during pregnancy does not significantly improve the HRQoL of pregnant Chinese women. Among ex-smokers, the more cigarettes they smoke, the lower HRQoL they have during pregnancy. We suggest that the Chinese government should strengthen the education on quitting smoking and avoiding second-hand smoke for women who have pregnancy plans and their family members.

Blue-collar work and women's health: A systematic review of the evidence from 1990 to 2015

Despite the implications of gender and sex differences for health risks associated with blue-collar work, adverse health outcomes among blue-collar workers has been most frequently studied among men. The present study provides a "state-of-the-field" systematic review of the empiric evidence published on blue-collar women's health. We systematically reviewed literature related to the health of blue-collar women published between January 1, 1990 and December 31, 2015. We limited our review to peer-reviewed studies published in the English language on the health or health behaviors of women who were presently working or had previously worked in a blue-collar job. Studies were eligible for inclusion regardless of the number, age, or geographic region of blue-collar women in the study sample. We retained 177 studies that considered a wide range of health outcomes in study populations from 40 different countries. Overall, these studies suggested inferior health among female blue-collar workers as compared with either blue-collar males or other women. However, we noted several methodological limitations in addition to heterogeneity in study context and design, which inhibited comparison of results across publications. Methodological limitations of the extant literature, alongside the rapidly changing nature of women in the workplace, motivate further study on the health of blue-collar women. Efforts to identify specific mechanisms by which blue-collar work predisposes women to adverse health may be particularly valuable in informing future workplace-based and policy-level interventions.

Enhancing partner support to improve smoking cessation

BACKGROUND

While many cessation programmes are available to assist smokers in quitting, research suggests that support from individual partners, family members, or 'buddies' may encourage abstinence.

OBJECTIVES

To determine if an intervention to enhance one-to-one partner support for smokers attempting to quit improves smoking cessation outcomes, compared with cessation interventions lacking a partner-support component.

SEARCH METHODS

We limited the search to the Cochrane Tobacco Addiction Group Specialised Register, which was updated in April 2018. This includes the results of searches of the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE (via OVID); Embase (via OVID); and PsycINFO (via OVID). The search terms used were smoking (prevention, control, therapy), smoking cessation and support (family, marriage, spouse, partner, sexual partner, buddy, friend, cohabitant and co-worker). We also reviewed the bibliographies of all included articles for additional trials.

SELECTION CRITERIA

We included randomised controlled trials recruiting people who smoked. Trials were eligible if they had at least one treatment arm that included a smoking cessation intervention with a partner-support component, compared to a control condition providing behavioural support of similar intensity, without a partner-support component. Trials were also required to report smoking cessation at six months follow-up or more.

DATA COLLECTION AND ANALYSIS

Two review authors independently identified the included studies from the search results, and extracted data using a structured form. A third review author helped resolve discrepancies, in line with standard methodological procedures expected by Cochrane. Smoking abstinence, biochemically verified where possible, was the primary outcome measure and was extracted at two post-treatment intervals where possible: at six to nine months and at 12 months or longer. We used a random-effects model to pool risk ratios from each study and estimate a summary effect.

MAIN RESULTS

Our update search identified 465 citations, which we assessed for eligibility. Three new studies met the criteria for inclusion, giving a total of 14 included studies (n = 3370). The definition of partner varied among the studies. We compared partner support versus control interventions at six- to nine-month follow-up and at 12 or more months follow-up. We also examined outcomes among three subgroups: interventions targeting relatives, friends or coworkers; interventions targeting spouses or cohabiting partners; and interventions targeting fellow cessation programme participants. All studies gave self-reported smoking cessation rates, with limited biochemical verification of abstinence. The pooled risk ratio (RR) for abstinence was 0.97 (95% confidence interval (CI) 0.83 to 1.14; 12 studies; 2818 participants) at six to nine months, and 1.04 (95% CI 0.88 to 1.22; 7 studies; 2573 participants) at 12 months or more post-treatment. Of the 11 studies that measured partner support at follow-up, only two reported a significant increase in partner support in the intervention groups. One of these studies reported a significant increase in partner support in the intervention group, but smokers' reports of partner support received did not differ significantly. We judged one of the included studies to be at high risk of selection bias, but a sensitivity analysis suggests that this did not have an impact on the results. There were also potential issues with detection bias due to a lack of validation of abstinence in five of the 14 studies; however, this is not apparent in the statistically homogeneous results across studies. Using the GRADE system we rated the overall quality of the evidence for the two primary outcomes as low. We downgraded due to the risk of bias, as we judged studies with a high weighting in analyses to be at a high risk of detection bias. In addition, a study in both analyses was insufficiently randomised. We also downgraded the quality of the evidence for indirectness, as very few studies provided any evidence that the interventions tested actually increased the amount of partner support received by participants in the relevant intervention group.

AUTHORS' CONCLUSIONS

Interventions that aim to enhance partner support appear to have no impact on increasing long-term abstinence from smoking. However, most interventions that assessed partner support showed no evidence that the interventions actually achieved their aim and increased support from partners for smoking cessation. Future research should therefore focus on developing behavioural interventions that actually increase partner support, and test this in small-scale studies, before large trials assessing the impact on smoking cessation can be justified.

Relationships Between Smoking Behaviors and Cotinine Levels Among Two American Indian Populations With Distinct Smoking Patterns

Introduction

Smoking prevalence, cigarettes per day (CPD), and lung cancer incidence differ between Northern Plains (NP) and Southwest (SW) American Indian populations. We used cotinine as a biomarker of tobacco smoke exposure to biochemically characterize NP and SW smokers and nonsmokers and to investigate factors associated with variation in tobacco exposure.

Methods

American Indians (N = 636) were recruited from two different tribal populations (NP and SW) as part of a study conducted as part of the Collaborative to Improve Native Cancer Outcomes P50 project. For each participant, a questionnaire assessed smoking status, CPD, second-hand smoke exposure, and traditional ceremonial tobacco use; plasma and/or salivary cotinine was measured.

Results

Cotinine levels were (mean ± 95% confidence interval [CI]) 81.6 ± 14.1 and 21.3 ± 7.3 ng/ml among NP smokers and non-mokers, respectively, and 44.8 ± 14.4 and 9.8 ± 5.8 ng/ml among SW smokers and nonsmokers, respectively. Cotinine levels correlated with CPD in both populations (p < .0001). Cotinine ≥15 ng/ml was measured in 73.4% of NP smokers and 47.8% of SW smokers and in 19.0% of NP nonsmokers and 10.9% of SW nonsmokers. Ceremonial traditional tobacco use was associated with higher cotinine among NP smokers only (p = 0.004). Second-hand smoke exposure was associated with higher cotinine among NP non-smokers (P < 0.02). More secondhand smoke exposure was associated with smoking more CPD in both populations (p = 0.03-0.29). Linear regression modeling mirrored these findings.

Conclusions

High prevalence of smoking in the Northern Plains and high cotinine levels among nonsmokers in both regions highlights the tribal populations' risk for tobacco-related disease.

Implications

There is a high prevalence of smoking in Northern Plains American Indians. Among Northern Plains and Southwest nonsmokers, relatively high cotinine levels, representative of high tobacco exposure, suggest considerable exposure to second-hand smoke. It is critical to highlight the extent of second-hand smoke exposure among the Northern Plains and Southwest American Indians and to enhance efforts to initiate smoke-free policies in tribal communities, which are not subject to state-level polices.

What distinguishes successful from unsuccessful tobacco smoking cessation? Data from a study of young adults (TEMPO)

INTRODUCTION

Smoking prevalence rates among young people are high in many countries. Although attempts to quit smoking increasingly occur in young adulthood, many former smokers relapse. We compared individuals who successfully quit smoking from those who relapsed on socio-demographic, psychological and health factors.

METHODS

Data come from telephone interviews conducted in 2011 with participants of the TEMPO community-based study (ages 18-37 years, France). To study the likelihood of successful cessation vs. smoking relapse, we restricted the study sample to current or former smokers (n = 600) and conducted multinomial logistic regression analyses.

RESULTS

43% of participants were current smokers who never quit for an extended period and, 33% former smokers and 24% current smokers who relapsed after extended cessation. In multivariate analyses female sex, parental status and illegal drug use were associated with both successful and unsuccessful smoking cessation. Factors specifically associated with a low probability of smoking cessation were job strain and symptoms of hyperactivity/inattention, while occupational grade was associated with smoking relapse.

CONCLUSIONS

Work and family circumstances, co-occurring substance use and psychological difficulties may influence smoking cessation in young adults. These characteristics should be considered by individual and collective interventions aiming to help young smokers quit successfully.

Effect of stressful life events on changes in smoking among the French: longitudinal findings from GAZEL

BACKGROUND

Changes in life events may play a contributing role in changes in smoking behaviors. The objective was to examine the impact of stressful life events (SLEs) on smoking among French adults.

METHODS

We examined smoking prevalence in 20 625 employees of the French GAZEL cohort for up to 5 years before and after a SLE during three time periods (years -1 vs. -5; years +1 vs. -1; years +5 vs. +1). Repeated measures analysis of time series data indexed to events were used, employing generalized estimating equations.

RESULTS

For women, comparing 1 year after vs. 1 year before SLEs, decreased odds of smoking were found for employment promotion (OR: 0.80; 95% CI = 0.67-0.95), marriage (OR: 0.57; 95% CI = 0.48-0.68) and divorce (OR: 0.78; 95% CI = 0.68-0.90). Comparing 5 years after to 1 year after SLEs, women had decreased odds of smoking for important purchase (OR: 0.87; 95% CI = 0.79-0.96), children leaving home (OR: 0.83; 95% CI = 0.74-0.93), retirement (OR: 0.73; 95% CI = 0.64-0.83) and death of loved one (OR: 0.86; 95% CI = 0.79-0.93). For men, decreased odds of smoking were observed in all three time periods for all SLEs except when comparing 1 year before to 5 years before marriage (OR: 1.66; 95% CI = 1.09-2.52) and divorce (OR: 1.49; 95% CI = 1.25-1.77).

CONCLUSION

Time surrounding SLEs during which individuals are susceptible to changing smoking behaviors may be an important consideration.

Worksite safety climate, smoking, and the use of protective equipment by blue-collar building workers enrolled in the MassBUILT smoking cessation trial

OBJECTIVE

To assess potential contributors to high injury rates and smoking prevalence among construction workers, we investigated the association of safety climate with personal protective equipment use, and smoking behaviors.

METHODS

Logistic regression models estimated risk ratios for personal protective equipment use and smoking using data from participants in MassBUILT smoking cessation intervention (n = 1725).

RESULTS

Contractor safety climate was negatively associated with the use of dust masks (rate ratio [RR], 0.88; 95% confidence interval [CI], 0.83 to 0.94), respirators (RR, 0.82; 95% CI, 0.75 to 0.89), general equipment (RR, 0.98; 95% CI, 0.95 to 1.00), and fall protection (RR, 0.94; 95% CI, 0.91 to 0.98) and positively associated with current smoking (RR, 1.12; 95% CI, 1.01 to 1.25) but not smoking cessation. Coworker safety climate was negatively associated with the use of dust masks (RR, 0.87; 95% CI, 0.82 to 0.92), respirators (RR, 0.80; 95% CI, 0.74 to 0.87), general equipment (RR, 0.96; 95% CI, 0.94 to 0.98), fall (RR, 0.92; 95% CI, 0.89 to 0.96), and hearing protection (RR, 0.88; 95% CI, 0.83 to 0.93) but not smoking.

CONCLUSIONS

Worksite safety climate may be important for personal protective equipment use and smoking, but further research is needed.

Racial and non-racial discrimination and smoking status among South African adults 10 years after apartheid

BACKGROUND

Despite a long history of discrimination and persisting racial disparities in smoking prevalence, little research exists on the relationship between discrimination and smoking in South Africa.

METHODS

This analysis examined chronic (day-to-day) and acute (lifetime) experiences of racial and non-racial (eg, age, gender or physical appearance) discrimination and smoking status among respondents to the South Africa Stress and Health study. Logistic regression models were constructed using SAS-Callable SUDAAN.

RESULTS

Both chronic racial discrimination (RR=1.45, 95% CI 1.14 to 1.85) and chronic non-racial discrimination (RR=1.69, 95% CI 1.37 to 2.08) predicted a higher risk of smoking, but neither type of acute discrimination did. Total (sum of racial and non-racial) chronic discrimination (RR=1.46, 95% CI 1.20 to 1.78) and total acute discrimination (RR=1.28, 95% CI 1.01 to 1.60) predicted a higher risk of current smoking.

CONCLUSIONS

Racial and non-racial discrimination may be related to South African adults' smoking behaviour, but this relationship likely varies by the timing and frequency of these experiences. Future research should use longitudinal data to identify the temporal ordering of the relationships studied, include areas outside of South Africa to increase generalisability and consider the implications of these findings for smoking cessation approaches in South Africa.

Workplace interventions for smoking cessation

BACKGROUND

The workplace has potential as a setting through which large groups of people can be reached to encourage smoking cessation.

OBJECTIVES

1. To categorize workplace interventions for smoking cessation tested in controlled studies and to determine the extent to which they help workers to stop smoking.2. To collect and evaluate data on costs and cost effectiveness associated with workplace interventions.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialized Register (July 2013), MEDLINE (1966 - July 2013), EMBASE (1985 - June 2013), and PsycINFO (to June 2013), amongst others. We searched abstracts from international conferences on tobacco and the bibliographies of identified studies and reviews for additional references.

SELECTION CRITERIA

We selected interventions conducted in the workplace to promote smoking cessation. We included only randomized and quasi-randomized controlled trials allocating individuals, workplaces, or companies to intervention or control conditions.

DATA COLLECTION AND ANALYSIS

One author extracted information relating to the characteristics and content of all kinds of interventions, participants, outcomes and methods of the studies, and a second author checked them. For this update we have conducted meta-analyses of the main interventions, using the generic inverse variance method to generate odds ratios and 95% confidence intervals.

MAIN RESULTS

We include 57 studies (61 comparisons) in this updated review. We found 31 studies of workplace interventions aimed at individual workers, covering group therapy, individual counselling, self-help materials, nicotine replacement therapy, and social support, and 30 studies testing interventions applied to the workplace as a whole, i.e. environmental cues, incentives, and comprehensive programmes. The trials were generally of moderate to high quality, with results that were consistent with those found in other settings. Group therapy programmes (odds ratio (OR) for cessation 1.71, 95% confidence interval (CI) 1.05 to 2.80; eight trials, 1309 participants), individual counselling (OR 1.96, 95% CI 1.51 to 2.54; eight trials, 3516 participants), pharmacotherapies (OR 1.98, 95% CI 1.26 to 3.11; five trials, 1092 participants), and multiple intervention programmes aimed mainly or solely at smoking cessation (OR 1.55, 95% CI 1.13 to 2.13; six trials, 5018 participants) all increased cessation rates in comparison to no treatment or minimal intervention controls. Self-help materials were less effective (OR 1.16, 95% CI 0.74 to 1.82; six trials, 1906 participants), and two relapse prevention programmes (484 participants) did not help to sustain long-term abstinence. Incentives did not appear to improve the odds of quitting, apart from one study which found a sustained positive benefit. There was a lack of evidence that comprehensive programmes targeting multiple risk factors reduced the prevalence of smoking.

AUTHORS' CONCLUSIONS

1. We found strong evidence that some interventions directed towards individual smokers increase the likelihood of quitting smoking. These include individual and group counselling, pharmacological treatment to overcome nicotine addiction, and multiple interventions targeting smoking cessation as the primary or only outcome. All these interventions show similar effects whether offered in the workplace or elsewhere. Self-help interventions and social support are less effective. Although people taking up these interventions are more likely to stop, the absolute numbers who quit are low.2. We failed to detect an effect of comprehensive programmes targeting multiple risk factors in reducing the prevalence of smoking, although this finding was not based on meta-analysed data. 3. There was limited evidence that participation in programmes can be increased by competitions and incentives organized by the employer, although one trial demonstrated a sustained effect of financial rewards for attending a smoking cessation course and for long-term quitting. Further research is needed to establish which components of this trial contributed to the improvement in success rates.4. Further research would be valuable in low-income and developing countries, where high rates of smoking prevail and smoke-free legislation is not widely accepted or enforced.

Second-Hand Smoke As a Predictor of Smoking Cessation Among Lung Cancer Survivors

Purpose

Second-hand smoke (SHS; ie, exposure to smoking of friends and spouses in the household) reduces the likelihood of smoking cessation in noncancer populations. We assessed whether SHS is associated with cessation rates in lung cancer survivors.

Patients and Methods

Patients with lung cancer were recruited from Princess Margaret Cancer Centre, Toronto, ON, Canada. Multivariable logistic regression and Cox proportional hazard models evaluated the association of sociodemographics, clinicopathologic variables, and SHS with either smoking cessation or time to quitting.

Results

In all, 721 patients completed baseline and follow-up questionnaires with a mean follow-up time of 54 months. Of the 242 current smokers at diagnosis, 136 (56%) had quit 1 year after diagnosis. Exposure to smoking at home (adjusted odds ratio [aOR], 6.18; 95% CI, 2.83 to 13.5; P < .001), spousal smoking (aOR, 6.01; 95% CI, 2.63 to 13.8; P < .001), and peer smoking (aOR, 2.49; 95% CI, 1.33 to 4.66; P = .0043) were each associated with decreased rates of cessation. Individuals exposed to smoking in all three settings had the lowest chances of quitting (aOR, 9.57; 95% CI, 2.50 to 36.64; P < .001). Results were similar in time-to-quitting analysis, in which 68% of patients who eventually quit did so within 6 months after cancer diagnosis. Subgroup analysis revealed similar associations across early- and late-stage patients and between sexes.

Conclusion

SHS is an important factor associated with smoking cessation in lung cancer survivors of all stages and should be a key consideration when developing smoking cessation programs for patients with lung cancer.

Human rights violations and smoking status among South African adults enrolled in the South Africa Stress and Health (SASH) study

Despite South Africa's history of violent political conflict, and the link between stressful experiences and smoking in the literature, no public health study has examined South Africans' experiences of human rights violations and smoking. Using data from participants in the nationally representative cross-sectional South Africa Stress and Health study (SASH), this analysis examined the association between respondent smoking status and both human rights violations experienced by the respondent and violations experienced by the respondents' close friends and family members. SAS-Callable SUDAAN was used to construct separate log-binomial models by political affiliation during apartheid (government or liberation supporters). In comparison to those who reported no violations, in adjusted analyses, government supporters who reported violations of themselves but not others (RR = 1.76, 95% CI: 1.25-2.46) had a significantly higher smoking prevalence. In comparison to liberation supporters who reported no violations, those who reported violations of self only (RR = 1.56, 95%CI: 1.07-2.29), close others only (RR = 1.97, 95%CI: 1.12-3.47), or violations of self and close others due to close others' political beliefs and the respondent's political beliefs (RR = 2.86, 95%CI: 1.70-4.82) had a significantly higher prevalence of smoking. The results of this analysis suggest that a relationship may exist between human rights violations and smoking among South Africa adults. Future research should use longitudinal data to assess causality, test the generalizability of these findings, and consider how to apply these findings to smoking cessation interventions.

Smokers who seek help in specialized cessation clinics: How special are they compared to smokers in general population?

Introduction: Patients of specialized nicotine dependence clinics are hypothesized to form a distinct subpopulation of smokers due to the features associated with treatment seeking. The aim of the study was to describe this subpopulation of smokers and compare it to smokers in general population.

Material and methods: A chart review of 796 outpatients attending a specialized nicotine dependence clinic, located in Toronto, Ontario, Canada was performed. Client smoking patterns and sociodemographic characteristics were compared to smokers in the general population using two Ontario surveys – the Ontario Tobacco Survey (n = 898) and the Centre for Addiction and Mental Health Monitor (n = 457).

Results: Smokers who seek treatment tend to smoke more and be more heavily addicted. They were older, had longer history of smoking and greater number of unsuccessful quit attempts, both assisted and unassisted. They reported lower education and income, had less social support and were likely to live with other smokers.

Conclusions: Smokers who seek treatment in specialized centers differ from the smokers in general population on several important characteristics. These same characteristics are associated with lower chances for successful smoking cessation and sustained abstinence and should be taken into consideration during clinical assessment and treatment planning.

Will mothers of sick children help their husbands to stop smoking after receiving a brief intervention from nurses? Secondary analysis of a randomised controlled trial

Background

Second-hand smoke is a severe health hazard for children. Clinical guidelines suggest that nurses advise smoking parents to quit when they accompany their sick children to paediatric settings, but the guidelines did not mention what nurses can do if the parents are not with the children. This study examines the effectiveness of a low-intensity, nurse-led health instructional initiative for non-smoking mothers, to motivate them to take action to help their husbands stop smoking.

Methods

This was a randomised controlled trial and 1,483 non-smoking women, who were living with husbands who do smoke, were recruited when they accompanied with their sick children on hospital admission in general paediatic wards/outpatient departments of four hospitals in Hong Kong. The women were randomly allocated into intervention and control groups. The former received brief health education counselling from nurses, a purpose-designed health education booklet, a “no smoking” sticker, and a telephone reminder one week later; the control group received usual care. The primary outcome was the women”s action to help their smoking husbands stop smoking at 3-, 6- and 12-month follow-ups.

Results

A higher proportion of women in the intervention than the control group had taken action to help their husbands stop smoking at the 3-month (76% vs. 65%, P < .001), 6-month (66% vs. 49%, P < .001) and 12-month (52% vs. 40%, P < .001) follow-ups. Women who had received the intervention, had better knowledge of the health hazards of smoking, higher intention to take action, perceived their husbands’ willingness to stop/reduce smoking, had previously advised their husbands to give up smoking, were aware of their husbands’ history of smoking and, were aware that their husbands had made an earlier quit attempt and intended to help them stop smoking at the follow-ups.

Conclusions

A brief health education intervention by nurses in paediatric settings can be effective in motivating the mothers of sick children to take action to help their husbands quit smoking. We recommend adding the following to the clinical practice guidelines on treating tobacco use and dependence: ‘Nurses should offer every non-smoking mother of a sick child brief advice to encourage their husbands to stop smoking’.

Trial registration

Current Controlled Trials ISRCTN72290421.

Heavy and light/moderate smoking among building trades construction workers

OBJECTIVE

The purpose of the study was to identify the correlates of heavy smoking (defined as more than one pack of cigarettes per day) in building trades construction workers.

DESIGN AND SAMPLE

This study used cross-sectional data from the MassBUILT smoking cessation intervention study at Massachusetts building trades unions with the sample of 763 smokers.

MEASURES

Data collected included information about smoking behavior, individual, psychological, interpersonal, and occupational factors obtained through self-reported questionnaires.

RESULTS

Approximately 21% of smokers were heavy smokers. Significant factors related to heavy smoking were: older age (OR = 1.10; 95% CI: 1.06-1.14), male gender (OR = 4.55; 95% CI: 1.62-12.79), smoking the first cigarette of the day within 30 min of waking (OR = 4.62; 95% CI: 2.81-7.59), smoking initiation at earlier age (OR = 0.93; 95% CI: 0.87-1.00), higher temptation to smoke (OR = 1.55; 95% CI: 1.17-2.05), household smoking (OR = 1.90; 95% CI: 1.18-3.06) or living alone (OR = 4.11; 95% CI: 1.70-9.92), and exposure to chemicals at work (OR = 1.61; 95% CI: 1.06-2.53).

CONCLUSION

Addressing the influence of these factors on heavy smoking could lead to the development of targeted, multiple components in comprehensive cessation strategies for blue-collar smokers.

Home matters: work and household predictors of smoking and cessation among blue-collar workers

OBJECTIVE

This study examined the joint influence of work- and household-related variables on smoking behavior among a population representative sample of blue-collar workers with live-in partners.

METHODS

The study used data on 1389 blue-collar workers from the Tobacco Use Supplement to the United States Current Population Survey 2002 to 2003 longitudinal overlap sample. Unadjusted and adjusted logistical regression analyses, which employed sampling and replicate weights to account for sampling design, were run to estimate independent and joint effects of the predictors.

RESULTS

In adjusted analyses, partner smoking (OR=4.97, 95%CI=3.02-8.18) and complete and partial home smoking policy (OR=0.16, 95%CI=0.09-0.29 and OR=0.39, 95%CI=0.23-0.68, respectively) were significant predictors of smoking status, but worksite smoking policies and presence of a young child under 5 in the household were not (p>0.05). Baseline complete home smoking ban was a significant predictor of subsequent cessation (OR=3.49, 95%CI=1.19-10.23), while partner smoking status, workplace smoking policy, and the presence of a young child in the home did not predict cessation (p>0.05).

CONCLUSION

Household-related variables were significant predictors of smoking status and cessation among blue-collar workers. Current efforts to decrease smoking in this group, which are mostly focused on work-related risk factors, should consider how to incorporate household risk factors.

Occupational Factors and Smoking Cessation among Unionized Building Trades Workers

The purpose of this study was to estimate the contribution of occupational factors to smoking cessation among building trades workers. Longitudinal data came from the MassBUILT smoking cessation intervention study for unionized building trades workers. Multivariable logistic regression analyses were applied to identify the significant predictors of smoking cessation, which was defined as abstinence from smoking during the previous 7 days at the 1-month monitoring and prolonged abstinence for at least 6 months at the 6-month monitoring. Greater concern about exposure to occupational hazards was significantly associated with increased likelihood of smoking cessation at 1 month (odds ratio = 1.06; 95% confidence interval = 1.01–1.11). Additionally, smokers who had a more positive view of their unions had at least marginally increased likelihood of smoking cessation at 1 month. Furthermore, older age, higher levels of educational attainment and household income, and fewer cigarettes smoked per day were important covariates that predicted smoking cessation. Concerns about exposures to work hazards should be incorporated into comprehensive intervention approaches for building trades workers. Additionally, the findings emphasize that blue-collar workers with lower income and education levels and heavy smokers should be considered target groups for implementing cessation interventions.

Cigarette smoking in building trades workers: the impact of work environment

BACKGROUND

Blue-collar workers smoke at higher rates than white-collar workers and the general population. Occupational factors may contribute to smoking behavior in this group. However, little is known about the role of occupational factors in explaining cigarette-smoking patterns.

METHODS

This study used cross-sectional data from the MassBUILT smoking cessation intervention study. Multivariable logistic regression analysis was conducted to investigate the association of occupational factors with current cigarette smoking among 1,817 building trades workers.

RESULTS

Current cigarette smoking was significantly associated with the following occupational factors: union commitment (OR = 1.06; 95% CI: 1.00-1.12); exposure to dust (OR = 1.50; 95% CI: 1.15-1.95), exposure to chemicals (OR = 1.41; 95% CI: 1.11-1.79); and concern about exposure to occupational hazards (OR = 0.93; 95% CI: 0.91-0.95).

CONCLUSION

The findings highlight the need to explicate the pathways by which occupational factors may contribute to current smoking behavior among building trades workers. Smoking cessation programs for this population should consider work-related occupational factors along with individual approaches.