Association of exercise with smoking-related symptomatology, smoking behavior and impulsivity in men and women

Tosun, Nicole; Allen, Sharon; Eberly, Lynn E.; Yao, Meng; Stoops, William W.; Strickland, Justin C.; Harrison, Katherine A.; Al’Absi, Mustafa; Carroll, Marilyn E.

doi:10.1016/j.drugalcdep.2018.07.022

Cited by 14 publications

(9 citation statements)

References 85 publications

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“…Analysis results showed that more exercise could reduce smoking risk, which was consistent with the research results of other scholars on the association between physical activity and smoking [50] . Studies have shown that exercise can reduce smoking desire and withdrawal response to smoking cessation, to help people stop smoking [51][52][53] .…”

Section: Health Behavior and Smokingsupporting

confidence: 89%

The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis

Chen

et al. 2021

Preprint

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Background：Online ride-hailing is a fast-developing new travel mode, and tobacco control policies on it have not yet been improved. This study aims to reveal the smoking status and influencing factors of ride-hailing drivers, so as to provide a basis for the formulation of tobacco control policies.Methods：The cross-sectional data used in this study were derived from an online survey of full-time ride-hailing drivers in China. Questionnaires were employed to collect variables including sociodemographic and work-related characteristics, health status, health behavior, health literacy, and smoking status. Chi-Square test and multivariate logistic regression were used to analyze the influencing factors of current smoking.Results：A total of 8990 ride-hailing drivers were investigated, in which 5024 were current smokers, accounted to 55.9%. Current smokers (53.7% (2696/5024) v 44.2% (1752/3966); P<0.001) and drivers who smoked on the car (85.8% (1389/1618) v 38.4 (1307/3406); P<0.001) were more likely to allow passengers to smoke. Logistic regression analysis showed that men (OR=0.519, 95%CI (0.416, 0.647)), central regions (OR=1.172, 95%CI (1.049, 1.309)), eastern regions (OR=1.330, 95%CI (1.194, 1.480)), working at both daytime and night (OR=1.287, 95%CI (1.164, 1.424)), and working at non-fixed time (OR=0.847, 95%CI (0.718, 0.999)), 35-54 years old (OR=0.585, 95%CI (0.408, 0.829)), current drinker (OR=1.663, 95%CI (1.526, 1.813)), eating very irregularly (OR=1.370, 95%CI (1.233, 1.523)), the number of days a week of engaging in at least 10 minutes of moderate or vigorous exercise ≥ 3 (OR=0.752, 95%CI (0.646, 0.875)), taking the initiative to acquire health knowledge occasionally (OR=0.882, 95%CI (0.783, 0.992)) or frequently (OR=0.675, 95%CI (0.591, 0.770)) , underweight (OR=1.249, 95%CI (1.001, 1.559)) and overweight (OR=0.846, 95%CI (0.775, 0.924)) were associated with the prevalence of current smoking among online ride-hailing drivers (P<0.05). Conclusions：The smoking rate of ride-hailing drivers was high, and the social demographic and work-related characteristics, and health-related factors all affected their smoking behavior. Tobacco control measures targeted at online-hailing drivers should correct their cultural beliefs about smoking, increase their health literacy, guide them to exercise more and keep a regular schedule, as well as combine with drinking intervention and weight intervention.

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Section: Health Behavior and Smokingsupporting

confidence: 89%

The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis

Chen

et al. 2021

Preprint

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“…22,23 Physical exercise is a strong ally in the process of smoking cessation, because the practice of physical exercises provides positive effects in reducing withdrawal symptoms and impulsivity, thus suggesting a double effect direction and the need to encourage adherence to an active lifestyle. 24 Similar to this situation, people who live in the urban area show higher prevalence in the practice of physical activity, when compared to the rural area, regardless of whether or not they have NCDs. Rural people inevitably have structural constraints, such as the absence of speci c environments for the practice of physical activity, and psychological constraints, such as the perception that human work is enough, which can interfere in the understanding of the importance of the practice of planned physical activity as a protective health measure.…”

Section: Discussionmentioning

confidence: 85%

Biopsychosocial Inequality, Active Lifestyle and Chronic Health Conditions In Brazilians

Guedes

Lopes

Silva

et al. 2021

Preprint

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Background:A study estimated the biopsychosocial factors related to active physical behavior in the Brazilian population with and without chronic non-transmissible disease (CNCD).Methodology: Cross-sectional study of the National Health Survey (NHS) in Brazil, with 60,202 individuals. The outcome was physically active behavior. The independent variables were social characteristics, lifestyle and health. Cox regression was applied to estimate the prevalence ratio (PR).Results: 29,666 (48.3%; 95% CI: 47.0–50.0) reported having CNCD. Not being a smoker or alcoholic, living in an urban area, having informal social support, you are in class A, high schooling as well as paid work are more associated with active lifestyle in both groups. However, in the group without CNCD, the female sex, having some disability and not having private health insurance were more associated with sedentary behavior, while in the group with CNCD, being elderly, white and not having restful sleep are associated with sedentary lifestyle.Conclusion: People with and without CNCD in Brazil have very close active behavior, however, some biopsychosocial factors such as: sex, age, lifestyle, socioeconomic level are unevenly associated with the active lifestyle in the groups. Thus, therapeutic or preventive proposals as well as public policies for health promotion must observe these distinctions when elaborating their actions.

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“…People who smoke are more likely to present respiratory symptoms and lower levels of physical activity than people who do not smoke 24 , 25 . Physical exercise is a strong ally in the process of smoking cessation, because the practice of physical exercises provides positive effects in reducing withdrawal symptoms and impulsivity, thus suggesting a double effect direction and the need to encourage adherence to an active lifestyle 26 .…”

Section: Discussionmentioning

confidence: 99%

Biopsychosocial inequality, active lifestyle and chronic health conditions: a cross-sectional National Health Survey 2013 in Brazil

Guedes

Araújo

Silva

et al. 2021

Sci Rep

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This study estimated the biopsychosocial factors related to active physical behavior in the Brazilian population with and without chronic non-transmissible disease (NCD). Cross-sectional study of the National Health Survey (NHS) in Brazil, with 60,202 individuals in 2013. Participants were randomly selected by complex sampling. The outcome was physically active behavior measured by performing a minimum of 150 min of physical exercise per week. The independent variables were social and psychological characteristics, lifestyle and health. Cox regression was applied to estimate the prevalence ratio (PR). There are 29,666 (48.3%; 95% CI 47.0–50.0) participants reported having NCD. Not being a smoker or alcoholic, living in an urban area (PR = 1.44; CI95% 1.23–1.68/PR = 1.38; CI95% 1.08–1.75), having informal social support (PR = 1.26; CI95% 1.10–1.44/PR = 1.19; CI95% 1.05–1.34), A social class (PR = 0.43; CI95% 0.25–0.73/PR = 0.46; CI95% 0.26–0.80), high schooling (PR = 0.34; CI95% 0.23–0.51/PR = 0.33; CI95% 0.24–0.46) as well as paid work (PR = 0.87; CI95% 0.78–0.96/PR = 0.89; CI95% 0.79–0.99) are more associated with active lifestyle in both groups. However, only in the group without NCD, the male sex (PR = 1.42; CI95% 1.28–1.57), no having some disability (PR = 1.31; CI95% 1.03–1.66) and having private health insurance (PR = 1.26; CI95% 1.13–1.41) were more associated with active behavior, while in the group with NCD, being elderly (PR = 1.22; CI95% 1.05–1.42), not be white (PR = 0.85; CI95% 0.77–0.95) and not having restful sleep (PR = 1.23; CI95% 1.08–1.40) are associated with active lifestyle. People with and without NCD in Brazil have very close active behavior, however, some biopsychosocial factors such as: sex, age, lifestyle, socioeconomic level are unevenly associated with the active lifestyle in the groups. Thus, therapeutic or preventive proposals as well as public policies for health promotion must observe these distinctions when elaborating their actions.

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Association of exercise with smoking-related symptomatology, smoking behavior and impulsivity in men and women

Cited by 14 publications

References 85 publications

The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis

The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis

Biopsychosocial Inequality, Active Lifestyle and Chronic Health Conditions In Brazilians

Biopsychosocial inequality, active lifestyle and chronic health conditions: a cross-sectional National Health Survey 2013 in Brazil

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