Lipton Robert, Cunradi Carol, Chen Meng-Jinn
Emergency Medicine, Beth Israel Deaconess Medical Center, One Deaconess Road W/ CC 2, Boston, MA, 02215, USA.
J Urban Health. 2008 Sep;85(5):759-65. doi: 10.1007/s11524-008-9295-6. Epub 2008 Jun 14.
This study assesses the contribution of smoking to all-cause mortality among a primarily minority cohort of urban transit operators. Survey and medical exam data, obtained from 1,785 workers (61% African American; 9% female) who participated in the 1983-1985 San Francisco MUNI Health and Safety Study, were matched against state and national death records through 2000. At baseline, approximately 45% of the workers were current smokers, 30% were former smokers, and 25% had never smoked. Covariates were demographic factors (gender, age, race/ethnicity) and alcohol use (average number of drinks per week). There were 198 deaths during the follow-up period. Kaplan-Meier survival analysis indicated that the probability of survival did not differ between former and current smokers, but was significantly lower compared to never smokers (p < 0.001). Data were further analyzed using Cox regression with age, gender, race/ethnicity, years of smoking, and average weekly number of drinks as predictors of mortality. The results showed that years of smoking significantly contributed to mortality (hazard ratio [HR] = 1.023; p < 0.001). Compared to Asian-American transit operators, elevated mortality risk was observed for African-American operators (HR = 2.78, p < 0.01) and white operators (HR = 2.93, p < 0.01). Gender and average weekly number of drinks were not significantly associated with mortality. Although rates of smoking have declined over the past two decades among blue-collar workers, elevated prevalence of former smoking will likely contribute to excess mortality among blue-collar populations.
本研究评估了吸烟对主要由少数族裔组成的城市公交运营商队列全因死亡率的影响。从1983 - 1985年参与旧金山公共交通系统健康与安全研究的1785名工人(61%为非裔美国人;9%为女性)获取的调查和医学检查数据,与截至2000年的州和国家死亡记录进行了匹配。在基线时,约45%的工人为当前吸烟者,30%为既往吸烟者,25%从未吸烟。协变量为人口统计学因素(性别、年龄、种族/族裔)和饮酒情况(每周平均饮酒量)。随访期间有198例死亡。Kaplan - Meier生存分析表明,既往吸烟者和当前吸烟者的生存概率无差异,但与从不吸烟者相比显著更低(p < 0.001)。使用Cox回归进一步分析数据,将年龄、性别、种族/族裔、吸烟年限和每周平均饮酒量作为死亡率的预测因素。结果显示,吸烟年限对死亡率有显著影响(风险比[HR] = 1.023;p < 0.001)。与亚裔美国公交运营商相比,非裔美国运营商(HR = 2.78,p < 0.01)和白人运营商(HR = 2.93,p < 0.01)的死亡风险升高。性别和每周平均饮酒量与死亡率无显著关联。尽管在过去二十年中蓝领工人的吸烟率有所下降,但既往吸烟率的升高可能会导致蓝领人群的额外死亡率增加。