Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Finnish Institute of Occupational Health, Helsinki/Kuopio, Finland.
Scand J Public Health. 2019 Dec;47(8):876-884. doi: 10.1177/1403494818804408. Epub 2018 Oct 10.
We examined the effect of retirement transition on changes in smoking, identified trajectories of smoking around the retirement transition, and investigated factors predicting the membership in the trajectories. : This longitudinal cohort study included 1,432 current or former smokers who entered into statutory retirement in 2000-2011 and who filled out two to four questionnaires sent at four-year intervals. Effect of retirement on smoking was analysed as a non-randomized pseudo-trial in which we compared the likelihood of quitting and relapsing smoking between two subsequent survey waves among those who retired and did not retire. We used latent class analysis to identify trajectories of smoking status and smoking intensity (low: <10 cigarettes/day or high: ⩾10 cigarettes/day), and multinomial logistic regression models to assess pre-retirement factors associated with smoking trajectories. : Retirement transition was associated with 1.7-fold odds of quitting smoking (95% confidence intervals 1.3-2.2) compared with no retirement transition. We identified three smoking status trajectories: 'sustained non-smoking' (61% of the participants), 'sustained smoking' (23%) and 'decreasing smoking' (16%). For 489 baseline smokers, we identified three smoking intensity trajectories: 'sustained high intensity smoking' (32% of the participants), 'sustained low intensity smoking' (32%) and 'decreasing high intensity smoking' (35%). Living outside an inner urban area predicted membership in the 'decreasing smoking' versus 'sustained smoking' trajectory.
我们研究了退休过渡对吸烟变化的影响,确定了退休过渡前后的吸烟轨迹,并调查了预测轨迹成员的因素。:这项纵向队列研究包括 1432 名目前或曾经吸烟的人,他们在 2000 年至 2011 年期间达到法定退休年龄,并在四次四年间隔的问卷调查中填写了两份至四份问卷。退休对吸烟的影响是作为一项非随机伪试验进行分析的,我们比较了退休和未退休的人在随后两次调查中戒烟和复吸的可能性。我们使用潜在类别分析来确定吸烟状况和吸烟强度(低:<10 支/天或高:≥10 支/天)的轨迹,并使用多项逻辑回归模型评估与吸烟轨迹相关的退休前因素。:与没有退休过渡相比,退休过渡与戒烟的可能性增加 1.7 倍(95%置信区间 1.3-2.2)。我们确定了三种吸烟状况轨迹:“持续不吸烟”(61%的参与者)、“持续吸烟”(23%)和“吸烟减少”(16%)。对于 489 名基线吸烟者,我们确定了三种吸烟强度轨迹:“持续高强度吸烟”(32%的参与者)、“持续低强度吸烟”(32%)和“高强度吸烟减少”(35%)。居住在市区以外的地方预测了“吸烟减少”与“持续吸烟”轨迹的成员。