Zou Xinye, Zou Siyu, Guo Yi, Peng Di, Min Hewei, Zhang Ruolin, Qin Ruiwen, Mai Jianrong, Wu Yibo, Sun Xinying
Faculty of Education, University of Cambridge, Cambridge, United Kingdom.
School of Public Health, Peking University, Beijing, China.
Tob Induc Dis. 2023 Jun 16;21:81. doi: 10.18332/tid/166110. eCollection 2023.
Multi-morbidity is a public health priority as it is associated with an increased risk of mortality and a substantial healthcare burden. Smoking is considered a predisposing factor for multi-morbidity, but evidence for an association between multi-morbidity and nicotine dependence is insufficient. This study aimed to explore the association between smoking status, nicotine dependence, and multi-morbidity in China.
We recruited 11031 Chinese citizens from 31 provinces in 2021 using a multistage stratified cluster sampling strategy to ensure the study population represented national population characteristics. The association between smoking status and multi-morbidity was analyzed using binary logistic regression and multinomial logit regression models. We then analyzed the associations between four kinds of smoking status (age at smoking initiation, cigarette consumption per day, smoking when ill in bed, and inability to control smoking in public places), nicotine dependence, and multi-morbidity among participants who were current smokers.
Compared with non-smokers, the odds of multi-morbidity were higher among ex-smokers (adjusted odd ratio, AOR=1.40, 95% CI: 1.07-1.85). The risk of multi-morbidity was greater in participants who were underweight/overweight/obese (AOR=1.90; 95% CI: 1.60-2.26) compared with those who were normal weight. and also greater for drinkers (AOR=1.34; 95% CI: 1.09-1.63) than non-drinkers. Compared with children who began smoking at the age of <15 years, participants aged >18 years had a lower likelihood of multi-morbidity (AOR=0.52; 95% CI: 0.32-0.83). People who consumed ≥31 cigarettes per day (AOR=3.77; 95% CI: 1.47-9.68) and those who smoked when ill in bed (AOR=1.70; 95% CI: 1.10-2.64) were more likely to have multi-morbidity.
Our findings show that smoking behavior, including initiation age, frequency of daily smoking, and still smoking during illness or in public, is a critical risk factor for multi-morbidity, especially when combined with alcohol consumption, physical inactivity, and abnormal weight (underweight, overweight, or obese). This highlights the crucial effect of smoking cessation in the prevention and control of multi-morbidity, especially in patients with three or more diseases. Implementing smoking and lifestyle interventions to promote health would both benefit adults and prevent the next generation from initiating habits that increase the risk of multi-morbidity.
多病共存是一个公共卫生重点问题,因为它与死亡风险增加和巨大的医疗负担相关。吸烟被认为是多病共存的一个诱发因素,但关于多病共存与尼古丁依赖之间关联的证据并不充分。本研究旨在探讨中国吸烟状况、尼古丁依赖与多病共存之间的关联。
我们于2021年采用多阶段分层整群抽样策略从31个省份招募了11031名中国公民,以确保研究人群代表全国人口特征。使用二元逻辑回归和多项逻辑回归模型分析吸烟状况与多病共存之间的关联。然后,我们分析了当前吸烟者中四种吸烟状况(开始吸烟的年龄、每日吸烟量、卧床生病时吸烟、在公共场所无法控制吸烟)、尼古丁依赖与多病共存之间的关联。
与不吸烟者相比,已戒烟者患多病共存的几率更高(调整后的比值比,AOR = 1.40,95%置信区间:1.07 - 1.85)。与体重正常者相比,体重过轻/超重/肥胖的参与者患多病共存的风险更大(AOR = 1.90;95%置信区间:1.60 - 2.26),饮酒者患多病共存的风险也高于不饮酒者(AOR = 1.34;95%置信区间:1.09 - 1.63)。与15岁以下开始吸烟的儿童相比,18岁以上的参与者患多病共存的可能性较低(AOR = 0.52;95%置信区间:0.32 - 0.83)。每天吸食≥31支香烟的人(AOR = 3.77;95%置信区间:1.47 - 9.68)和卧床生病时吸烟的人(AOR = 1.70;95%置信区间:1.10 - 2.64)患多病共存的可能性更大。
我们的研究结果表明,吸烟行为(包括开始吸烟的年龄、每日吸烟频率以及在生病或公共场所仍吸烟)是多病共存的一个关键危险因素, 尤其是与饮酒、缺乏体育锻炼和体重异常(体重过轻、超重或肥胖)同时存在时。这凸显了戒烟在多病共存防控中的关键作用,尤其是在患有三种或更多疾病的患者中。实施吸烟和生活方式干预以促进健康,将使成年人受益,并防止下一代养成增加多病共存风险的习惯。