Psychosocial Factors and Tobacco Use Among Commercial Truck Drivers

Kagabo, Robert; Okuyemi, Kola; Eden, Emilee; Kapellusch, Jay; Murtaugh, Maureen A.; Hegmann, Kurt T.; Thiese, Matthew S.

doi:10.1097/jom.0000000000001858

Cited by 3 publications

(3 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Steptoe’s research on the interplay between stress perception, social support, and health behaviors revealed a noticeable uptick in traditional cigarette smoking during stressful times, particularly among students with insufficient social support ( 37 ). Similar patterns have been noted among commercial truck drivers ( 38 ) and adolescents ( 39 ), with those experiencing lower levels of social support showing a higher propensity to smoke. Managing stress, anxiety, boredom, or loneliness is one of important motivators for tobacco use among the youth.…”

Section: Discussionsupporting

confidence: 66%

Susceptibility to e-cigarette adoption among tobacco-naïve youths: a cross-sectional study in Shenzhen, China

Yan,

Liu,

Huang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

BackgroundThe rise in e-cigarette use among youth is a significant global public health issue. It is important to identify those at increased risk and implement effective strategies to reduce e-cigarette popularity among the youth.ObjectiveThis study aims to identify predictors of e-cigarette uptake in youths with no prior tobacco use, considering individual, familial and the broader societal environmental factors.MethodsFor this investigation, a group of 2,487 tobacco-free youths was selected from 15 high schools in Shenzhen, China. Susceptibility to e-cigarettes was determined by assessing the possibility of future use and the openness to trying e-cigarettes if presented by friends. Both chi-square tests and logistic regression were applied to identify factors linked to susceptibility to e-cigarette use.ResultsAmong the respondents, 5.5% (n = 136) were found to be susceptible to e-cigarette use. The analysis revealed factors tied to this risk: perceptions of e-cigarettes, the impact of vaping peers, paternal parenting styles, the extent of social support, exposure to messages both for and against e-cigarettes use, and secondhand smoke (SHS) exposure. Youths who downplayed the addictive nature of e-cigarettes (aOR = 2.01; 95% CI: 1.14–3.55; p = 0.016), those with friends who engaged in vaping (aOR = 3.43–7.64; 95%CI: 2.36–20.42; p < 0.001), those experiencing over-protective or rejective maternal parenting (aOR = 1.68–3.01; 95%CI: 1.11–5.77; p = 0.001–0.014) or rejective paternal parenting (aOR = 3.63; 95%CI: 1.99–6.59; p < 0.001), those aware of e-cigarette advertisements (aOR = 1.82; 95%CI: 1.28–2.60; p = 0.001), and those exposed to SHS at home (aOR = 1.68; 95%CI: 1.17–2.41; p = 0.005) or at public places (aOR = 1.72–1.79; 95%CI: 1.21–2.57; p = 0.002–0.003) were more prone to e-cigarettes. In contrast, youths who believed using e-cigarettes reduces one’s attractiveness (aOR = 0.34; 95%CI: 0.16–0.72; p = 0.005) or perceived that vaping made social interactions less enjoyable (aOR = 0.26; 95%CI: 0.12–0.58; p = 0.001), those who benefited from high social support (aOR = 0.30–0.60; 95%CI: 0.17–0.97; p < 0.001), and those who noticed message about e-cigarettes’ adverse consequence (aOR = 0.54; 95%CI: 0.38–0.77; p = 0.001) were less likely to be inclined toward e-cigarette use.ConclusionThe propensity of the youth to e-cigarette usage is shaped by a multiple element. An all-encompassing strategy that addresses the individual, familial, and the broader societal aspects is imperative for the effective prevention of e-cigarette initiation among youth.

show abstract

Section: Discussionsupporting

confidence: 66%

Susceptibility to e-cigarette adoption among tobacco-naïve youths: a cross-sectional study in Shenzhen, China

Yan,

Liu,

Huang

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…1,3 Older drivers have had prolonged exposure to risk factors such as a sedentary lifestyle and smoking and more time to develop colorectal polyps and cancer-causing mutations. 1,7,[12][13][14]17,18 Due to the increased exposure to CRC risk factors among truck drivers 12,15,24 amplified awareness and education about the importance of early-detection screening for CRC may aid in reducing CRC morbidity and mortality in this population.…”

Section: Discussionmentioning

confidence: 99%

“…7,[12][13][14] Obesity and tobacco use are twice as high among truckers as they are in the overall U.S. adult labor force, 15,16 and previous research has shown that truck drivers often smoke cigarettes to stay awake. 1,17,18 Truck drivers also often have few nutritious options available to them while commuting, 19 face challenges to eating healthily, 20 and have high rates of metabolic syndrome. 21,22 High-fat diets have been associated with poor health among truck drivers.…”

Section: Purposementioning

confidence: 99%

Factors Associated with Colorectal Cancer Prevalence Among Long-Haul Truck Drivers in the United States

et al. 2022

Self Cite

View full text Add to dashboard Cite

Purpose To determine the age-adjusted association between colorectal cancer (CRC) risk factors and CRC prevalence among long-haul truck drivers (aged 21–85), after adjustment for age. Design Pooled cross-sectional analysis using Commercial Driver Medical Exam (CDME) data. Setting. National survey data from January 1, 2005, to October 31, 2012. Participants 47,786 commercial motor vehicle drivers in 48 states. Measures CRC prevalence was the primary outcome; independent variables included demographics, body mass index (BMI), and concomitant medical conditions. Analysis Kruskal-Wallis tests to analyze continuous variables; Fischer’s exact tests to analyze categorical variables; univariate and multivariable logistic regression for rare events (Firth method) to quantify the association between the independent variables of interest and CRC prevalence. Odds ratios (ORs) and 95% confidence intervals (CIs) were adjusted for age, gender, years with current employer, year of exam, and BMI in a multivariate logistic regression. Results Many factors were statistically significant. Obesity (OR = 3.14; 95% CI = 1.03–9.61) and increasing age (OR = 1.10 per year; 95% CI = 1.07–1.13) were significantly associated with CRC prevalence. Truckers with 4 or more concomitant medical conditions were significantly more likely to have CRC (OR = 7.03; 95% CI = 1.83–27.03). Conclusions Our findings highlight mutable risk factors and represent an opportunity for intervention that may decrease CRC morbidity and mortality among truck drivers, a unique population in the United States estimated to live up to 16 years less than the general population.

show abstract

Correlates of e-cigarette use susceptibility among never-smoking youth: A cross-sectional study in Shenzhen, China

Yan

Liu

Huang

et al. 2023

Preprint

View full text Add to dashboard Cite

Purpose Identifying youth at risk of future e-cigarette use is crucial for informing effective prevention strategies. The current study aims to examine the correlates of e-cigarette use susceptibility among never-smoking youth from four levels: personal, psychological, parental, and social factors. Methods This Cross-sectional study recruited 2487 never-smoking students (aged 12–17 years) from 15 junior and high schools in the Bao'an District of Shenzhen, China from October to December 2021. E-cigarette susceptibility was measured by two items assessing the possibility to use e-cigarettes in the future and willingness to use if offered by a friend. Random-effects logistic regression models were used to explore risk factors of e-cigarette use susceptibility from four levels. Results Of the 2487 youth who never smoked, 5.5% (n = 136) were susceptible to e-cigarette use. The regression model identified the following correlates of e-cigarette susceptibility: perceptions of e-cigarettes, perceived social support, parental style, pro- and anti-tobacco information exposure, SHS exposure, and friends using e-cigarettes. Youth believing it is not easy to get addicted to e-cigarettes (aOR = 2.19; 95%CI: 1.21–3.96; p = 0.010), having father rejection (aOR = 2.38; 95%CI: 1.22–4.65; p = 0.011), having SHS exposure at home for 5–7 days (aOR = 2.04; 95%CI: 1.24–3.37; p = 0.005), noticing e-cigarette advertising (aOR = 1.80; 95%CI: 1.22–2.65; p = 0.003), and having friends using e-cigarettes (aOR = 2.59–5.28; 95%CI: 1.76–14.73; p < 0.001) were more susceptible to e-cigarette use. Youth thinking e-cigarette use less attractive (aOR = 0.55; 95%CI: 0.37–0.83; p = 0.005), having high social support (aOR = 0.49; 95%CI: 0.24–0.97; p = 0.041), and noticing the effects of e-cigarette use (aOR = 0.53; 95%CI: 0.36–0.78; p = 0.001) were less susceptible to e-cigarette use. Conclusions Youth' susceptibility to e-cigarette use is affected by multiple factors. A multi-level approach involving personal, psychological, parental, and social environment factors is needed to prevent youth from e-cigarette initiation.

show abstract

Psychosocial Factors and Tobacco Use Among Commercial Truck Drivers

Cited by 3 publications

References 62 publications

Susceptibility to e-cigarette adoption among tobacco-naïve youths: a cross-sectional study in Shenzhen, China

Susceptibility to e-cigarette adoption among tobacco-naïve youths: a cross-sectional study in Shenzhen, China

Factors Associated with Colorectal Cancer Prevalence Among Long-Haul Truck Drivers in the United States

Correlates of e-cigarette use susceptibility among never-smoking youth: A cross-sectional study in Shenzhen, China

Contact Info

Product

Resources

About