Tobacco product use among workers in the construction industry, United States, 2014-2016

Employment Characteristics and Tobacco Product Use, U.S., 2021

INTRODUCTION

Over 30 million U.S. working adults use tobacco, and tobacco use varies by occupation. Limited information is available on employment characteristics and tobacco use prevalence. The purpose of this study was to describe the prevalence of current tobacco use by employment characteristics and occupation group among U.S. working adults.

METHODS

This cross-sectional study used 2021 National Health Interview Survey data for currently working adults (n=16,461) analyzed in 2023. Multivariable logistic regression was used to estimate adjusted odds of tobacco use by employment characteristics and occupation group.

RESULTS

In 2021, 20.0% of working adults used tobacco. Any tobacco use was significantly lower among workers who were offered workplace health insurance (AOR=0.86, 95% CI=0.77-0.97), had paid sick leave (AOR=0.81, 95% CI=0.73-0.91), and government versus private employment (AOR=0.61, 95% CI=0.52-0.70). Any tobacco use was significantly higher among workers who usually worked ≥35 hours per week versus did not usually work ≥35 hours per week (AOR=1.21, 95% CI=1.06-1.39), worked a rotating or "some other" shift versus daytime shift (AOR=1.19, 95% CI=1.02-1.38), experienced schedule instability (AOR=1.17, 95% CI=1.03-1.31), and worked while physically ill in the past 3 months (AOR=1.25, 95% CI=1.11-1.41). Tobacco use by employment characteristics also varied by occupation group.

CONCLUSIONS

Current tobacco use varied according to employment characteristics and occupation group. Findings from this study could inform workplace tobacco cessation interventions and policies (e.g., access to paid sick leave or insurance coverage) to better support tobacco cessation and overall worker health.

Work Organization Factors Associated with Health and Work Outcomes among Apprentice Construction Workers: Comparison between the Residential and Commercial Sectors

There are substantial differences in work organization between residential and commercial construction sectors. This paper examined differences in work factors between construction sectors and examined the association between sector and health behaviors, health outcomes, and work outcomes. We surveyed 929 male construction apprentices (44% residential and 56% commercial) and found that residential apprentices reported fewer workplace safety policies, higher frequency of heavy lifting, and greater likelihood of reporting musculoskeletal pain compared to apprentices in commercial work. Residential apprentices reported higher job strain, lower supervisor support, more lost workdays due to pain or injury, and lower productivity related to health than commercial apprentices. Multivariate Poisson regression models controlling for multiple work factors showed that residential construction work, high job strain, heavy lifting, low coworker support, and low supervisor support were each independently associated with one or more work or health outcomes. These findings suggest that interventions should seek to improve coworker and supervisory supportive behaviors, decrease job strain, and reduce organizational stressors, such as mandatory overtime work. Our study shows disparities in health and safety between construction sectors and highlights the need for interventions tailored to the residential sector.

Health Risk Behavior Profile of Construction Workers, 32 States, 2013 to 2016

BACKGROUND

Research has suggested that several health risk behaviors were more prevalent among construction workers than among the general workforce.

METHODS

The prevalences of six health risk behaviors among construction workers were compared with workers in other industries using data from 32 states in the 2013 to 2016 Behavioral Risk Factor Surveillance System (BRFSS).

RESULTS

Smoking, smokeless tobacco use, binge drinking, no leisure-time physical activity, and not always using a seatbelt were significantly more prevalent (P < 0.001), and short sleep significantly less prevalent (P < 0.05), for all construction workers combined compared with workers in other industries. Prevalences varied substantially for all six health risk behaviors by construction occupation.

CONCLUSIONS

Due to the high prevalence of some health risk behaviors, construction workers may benefit from interventions to reduce these behaviors, particularly since they are also potentially exposed to workplace hazards.

Influencing Factors, Mechanism and Prevention of Construction Workers' Unsafe Behaviors: A Systematic Literature Review

Unsafe behaviors of construction workers are one of the main causes of accidents at construction sites. The research on unsafe behaviors of workers helps to reduce the incidence of accidents and has attracted much attention. However, a systematic literature review in this field is still lacking, which hinders stakeholders' comprehensive understanding of the unsafe behaviors of construction workers. Therefore, the aim of this study is to address this research gap based on retrieved literature from the Web of Science. First, the study conducted a descriptive analysis of the year, quantity, publishing organization, and keywords of the literature. In addition, three research topics were identified and discussed, including the influencing factors of construction workers' unsafe behaviors, the formation mechanism of unsafe behaviors, and the pre-control methods of unsafe behaviors. Moreover, a research framework was proposed and future research directions were also suggested. The research findings promote stakeholders' understanding of the influencing factors, formation mechanism, and pre-control methods of construction workers' unsafe behaviors, and lead to future research directions in the studied field.

Prevalence of cigarette smoking and its related factors among Iranian male workers

Background: Smoking is considered as the second leading risk factor of early death and disability throughout the world. Smoking is the second leading risk factor of early death and disability in the world. The workplace is an important setting for the implementation of cigarette smoking prevention and control interventions. This study aimed to determine the prevalence of cigarette smoking and related factors by focusing on ADHD and risk-taking behaviors among a sample of Iranian workers.

Methods: This cross-sectional study was conducted on 2434 male workers of Kaveh Industrial City in Saveh. Random cluster sampling was used in the selection of workers. All workers completed five sets of anonymous and validated questionnaires. ADHD was measured by Conner’s Adult ADHD Rating Scales. Data analysis was done using chi-square, independent t-test and logistic regression model in STATA 10. Also, P-value <0.05 was considered statistically significant.

Results: The mean age of the workers was 32.80±7.05 years. The prevalence of cigarette smoking in the lifetime, last year, last month, and daily or almost daily in the last month were 26.2%, 20.6% , 18.5%, and 13.1% respectively. After adjustment, age (OR=1.08), sensation seeking (OR=1.57), hookah smoking (OR=4.21), alcohol use (OR=2.51), sexual risk behaviors (OR=2.25), religiosity (OR=0.95) and self-esteem (OR=2.02) were associated with cigarette smoking.

Conclusion: Our results showed that 13.1 % of workers were regular smokers (daily or almost daily). Specific programs in workplaces, including interventions to enhance self-steam and reduce anxiety, can be effective in lowering cigarette smoking prevalence. Also, comprehensive interventions to reduce or prevent different risk-taking behaviors can be considered as elements of preventive action plans.

Use of Cigarettes and E-Cigarettes and Dual Use Among Adult Employees in the US Workplace

Introduction

Evidence-based interventions for tobacco control in the US workplace can reach a large audience. The purpose of our study was to explore the prevalence and determinants of type of tobacco use (ie, cigarettes only, e-cigarettes only, or dual use) among adult employees in the United States and to examine type of use by state.

Methods

We used data from the 2017 Behavioral Risk Factor Surveillance System to examine the prevalence of cigarette use, e-cigarette use, dual use, and quit attempts. We used multinomial logistic regression to examine the relationships between sociodemographic characteristics and type of tobacco product used, and we estimated adjusted prevalence.

Results

Approximately 17% of respondents were current smokers, 5% were current e-cigarette users, and 2% were dual users. E-cigarette-only and dual use were generally highest among young (aged 18–24), male, and less-educated respondents and lower for respondents who identified as black, Asian/Native Hawaiian/Pacific Islander, or Hispanic than for white respondents. Cigarette-only and dual use were higher for respondents who did not have health care coverage. Prevalence by state of e-cigarette use only ranged from 1.2% (Vermont) to 3.9% (Arkansas), whereas the prevalence of dual use ranged from 0.6% (District of Columbia) to 4.0% (Oklahoma).

Conclusion

Prevalence of cigarette, e-cigarette, and dual use varied by sociodemographic characteristics and by state. These findings can support targeting of specific populations when designing and implementing evidence-based interventions for tobacco control in workplace settings.

Influence of Occupational Background on Smoking Prevalence as a Health Inequality Among Employees of Medium- and Small-Sized Companies in Japan

Tobacco smoking is a major public health problem. In addition, the influence of socioeconomic status on health inequalities has received great attention worldwide. The authors used insurance data of beneficiaries employed in medium- and small-sized Japanese companies to investigate the influence of occupational background on smoking prevalence as a health inequality among workers in Japan. Participants were aged 35–74 years and underwent health examinations in 2015. Smoking prevalence was estimated for each occupational group according to sex, age, and income. Logistic regression analysis was used to assess the association between smoking status and occupational groups. A total of 385,945 participants were included. Overall smoking prevalence was 36.3%, higher than average in Japan. Smoking prevalence was lowest among workers in the education and learning support category; all other occupational groups had significantly high prevalence, with the highest for transport and postal services (odds ratio 2.69, 95% confidence interval 2.53–2.86). There were few differences in smoking prevalence at higher income levels among female participants, but differences were remarkably significant at lower income levels. For health inequalities related to smoking, occupational background was associated with smoking prevalence. In particular, there was high smoking prevalence in workplaces not covered by smoke-free policies. These results also demonstrated differences between the sexes; smoking prevalence among female workers with lower income levels was strongly associated with occupational background whereas there were no large differences among male workers by income. These findings suggest that the government should encourage companies to adopt smoke-free policies in the workplace.