Public Health, Department of Social and Environmental Health, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
Nicotine Tob Res. 2010 Oct;12(10):1050-4. doi: 10.1093/ntr/ntq143. Epub 2010 Sep 5.
No studies have been conducted in Asia to examine predictors for smoking cessation by long-term follow-up of smokers. We sought to examine predictors for smoking cessation in Japanese subjects using baseline and 10-year follow-up data of the Japan Public Health Center-based Prospective Study (JPHC Study) Cohort I.
We calculated adjusted odds ratios of predictors for smoking cessation with a cohort of 9,524 Japanese men and women aged 40-59 years who were smokers at baseline (1990) and for whom smoking status information at 10-year follow-up (2000) was available.
At follow-up, 24.9% of smokers had stopped smoking. White-collar workers were more likely to cease than blue-collar ones; the multivariate odds ratio (OR) was 1.18 (95% CI: 1.05-1.32). The multivariate OR of smoking cessation for initiation of a prescribed drug and that of disease development was 1.92 (95% CI: 1.72-2.14) and 1.21 (95% CI: 1.08-1.36), respectively. Those smoking more cigarettes and who started smoking at a young age were less likely to stop smoking. Older age, physical activity, and participation in health checkups were associated with smoking cessation. Gender was not a significant predictor after adjustment for other factors.
In a large follow-up study of middle-aged Japanese smokers, the predictors of smoking cessation were age, job, smoking habit, physical activity, health checkup participation, and health status.
亚洲尚未进行过研究，通过对吸烟者的长期随访来检验戒烟的预测因素。我们旨在使用日本公共卫生中心前瞻性研究（JPHC 研究）I 队列的基线和 10 年随访数据，研究日本受试者戒烟的预测因素。
我们计算了 9524 名年龄在 40-59 岁、基线（1990 年）时为吸烟者且 10 年随访（2000 年）时吸烟状况信息可用的日本男女吸烟者的戒烟预测因素的调整优势比。
随访时，24.9%的吸烟者已戒烟。白领工人比蓝领工人更有可能戒烟；多变量优势比（OR）为 1.18（95%CI：1.05-1.32）。开始服用处方药和疾病发展的戒烟多变量 OR 分别为 1.92（95%CI：1.72-2.14）和 1.21（95%CI：1.08-1.36）。那些吸烟更多且年轻时开始吸烟的人不太可能戒烟。年龄较大、身体活动和参加健康检查与戒烟有关。调整其他因素后，性别不是一个显著的预测因素。
在一项对中年日本吸烟者的大型随访研究中，戒烟的预测因素是年龄、职业、吸烟习惯、身体活动、参加健康检查和健康状况。
