Javad Razjouyan, Nicola A Hanania, Sara Nowakowski, Ritwick Agrawal, Amir Sharafkhaneh
Identification of sleep phenotypes in COPD using machine learning-based cluster analysis
Respiratory medicine
food delivery drivers represent rapidly growing occupational group china recent years unique work patterns complex work environment high timepressure may subject severe tobacco use issues compared professions study aims investigate prevalence tobacco use within group examine underlying reasons behind crosssectional multistage sampling design conducted select 1879 food delivery riders guangzhou shenzhen selfadministered questionnaire used collect data august december 2022 chisquared analysis binary logistic regression analysis adjusted factors including gender education level type employment alcohol use jobrelated uncertainty stress emotional exhaustion used explore key factors associated smoking among occupational group altogether 655 individuals sample smokers 695 among males 262 among females factors found significantly associated smoking behavior male sex aor548 95 ci 374802 education level junior high school lower aor160 95 ci 121211 education level senior high school aor152 95 ci 118195 fulltime job aor139 95 ci 118180 alcohol use aor391 95 ci 314487 moderate level jobrelated uncertainty stress aor058 95 ci 042081 high level emotional exhaustion aor157 95 ci 117210 moderate level emotional exhaustion aor152 95 ci 100230 demographic factors like gender education level job type substance use considered designing smoking cessation campaigns group improving work conditions reducing emotional exhaustion managing stress may also reduce smoking enhance wellbeing riders