Job-related factors associated with tobacco use among Chinese food delivery riders: A cross-sectional survey.

IF 2.2 4区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Tobacco Induced Diseases Pub Date : 2024-05-15 eCollection Date: 2024-01-01 DOI:10.18332/tid/186930

Chen Li, Dan Wu, Christopher Bullen, Jinsong Chen, Francis Cheung, Yonglin Zheng, Hongchen Luo

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引用次数: 0

Abstract

Introduction: Food delivery drivers represent a rapidly growing occupational group in China in recent years. Their unique work patterns such as a complex work environment and high time-pressure may subject them to more severe tobacco use issues compared to other professions. This study aims to investigate the prevalence of tobacco use within this group and examine the underlying reasons behind it.

Methods: A cross-sectional, multistage sampling design was conducted to select 1879 food delivery riders from Guangzhou and Shenzhen. A self-administered questionnaire was used to collect the data from August to December 2022. Chi-squared analysis and binary logistic regression analysis, adjusted for factors including gender, education level, type of employment, alcohol use, job-related uncertainty stress, and emotional exhaustion, were used to explore the key factors associated with smoking among this occupational group.

Results: Altogether, 65.5% of individuals in this sample were smokers, with 69.5% among males and 26.2% among females. Factors found to be significantly associated with smoking behavior were male sex (AOR=5.48; 95% CI: 3.74-8.02), education level of junior high school or lower (AOR=1.60; 95% CI: 1.21-2.11), education level of senior high school (AOR=1.52; 95% CI: 1.18-1.95), full-time job (AOR=1.39; 95% CI: 1.18-1.80), alcohol use (AOR=3.91; 95% CI: 3.14-4.87), moderate level of job-related uncertainty stress (AOR=0.58; 95% CI: 0.42-0.81), high level of emotional exhaustion (AOR=1.57; 95% CI: 1.17-2.10) and moderate level of emotional exhaustion (AOR=1.52; 95% CI: 1.00-2.30).

Conclusions: Demographic factors like gender, education level, job type, and substance use should be considered in designing smoking cessation campaigns for this group. Improving work conditions, reducing emotional exhaustion, and managing stress may also reduce smoking and enhance the well-being of these riders.

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中餐外卖骑手吸烟的工作相关因素：一项横断面调查

简介送餐员是近年来在中国迅速发展的一个职业群体。与其他职业相比，送餐员独特的工作模式，如复杂的工作环境和高时间压力，可能使他们面临更严重的烟草使用问题。本研究旨在调查这一群体的烟草使用率，并探讨其背后的深层原因：方法：本研究采用横断面多阶段抽样设计，从广州和深圳抽取了 1879 名外卖骑手。在 2022 年 8 月至 12 月期间，采用自填式问卷收集数据。在对性别、教育程度、职业类型、饮酒、工作相关不确定性压力和情绪衰竭等因素进行调整后，采用卡方分析和二元逻辑回归分析来探讨该职业群体中与吸烟相关的关键因素：该样本中共有 65.5%的人吸烟，其中男性占 69.5%，女性占 26.2%。男性（AOR=5.48；95% CI：3.74-8.02）、初中或初中以下教育程度（AOR=1.60；95% CI：1.21-2.11）、高中教育程度（AOR=1.52；95% CI：1.18-1.95）、全职工作（AOR=1.39；95% CI：1.18-1.80）、饮酒（AOR=3.91；95% CI：3.14-4.87）、中度工作相关不确定性压力（AOR=0.58；95% CI：0.42-0.81）、高度情绪衰竭（AOR=1.57；95% CI：1.17-2.10）和中度情绪衰竭（AOR=1.52；95% CI：1.00-2.30）.结论：结论：在为该群体设计戒烟活动时，应考虑性别、教育水平、工作类型和药物使用等人口统计学因素。改善工作条件、减少情绪疲惫和管理压力也可以减少这些骑手的吸烟量并提高他们的健康水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Tobacco Induced Diseases SUBSTANCE ABUSE-PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

CiteScore

5.30

自引率

5.40%

发文量

审稿时长

12 weeks

期刊介绍： Tobacco Induced Diseases encompasses all aspects of research related to the prevention and control of tobacco use at a global level. Preventing diseases attributable to tobacco is only one aspect of the journal, whose overall scope is to provide a forum for the publication of research articles that can contribute to reducing the burden of tobacco induced diseases globally. To address this epidemic we believe that there must be an avenue for the publication of research/policy activities on tobacco control initiatives that may be very important at a regional and national level. This approach provides a very important "hands on" service to the tobacco control community at a global scale - as common problems have common solutions. Hence, we see ourselves as "connectors" within this global community. The journal hence encourages the submission of articles from all medical, biological and psychosocial disciplines, ranging from medical and dental clinicians, through health professionals to basic biomedical and clinical scientists.