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目的通过调查了解成都市某区青年警察的吸烟现状及其相关影响因素,为相关部门制定合理、可行的控烟对策提供科学依据。方法收集成都市某区青年警察吸烟相关调查问卷178份,问卷内容包括调查对象的人口学特征、吸烟现状及戒烟等信息。运用单因素logistic回归和多因素logistic回归分析吸烟的影响因素。所有数据采用SPSS 13.0软件处理。结果研究的178位警察均为男性,平均年龄(24.47±2.80)岁,婚姻状况以未婚所占比例最多,占78.16%,文化程度以大专和本科所占比例最多,分别占39.41%和34.12%。其中吸烟者113例,吸烟率63.50%,吸烟者每天吸烟量的平均值为(13.07±5.90)支,第1次吸完整支烟的平均年龄为(15.78±2.41)岁,其中最小10岁,最大20岁,平均烟龄为(6.93±3.38)年。该调查的警察戒烟率占25.28%,其中有67.06%的人为自己的健康戒烟,家庭全面控烟的占14.63%,部分控烟的占33.33%;单位开展全面控烟的占10.57%,部分控烟的占49.59%。多因素逐步logistic回归分析结果显示,烟龄越短,继续吸烟的风险越高,其OR值及95%的可信区间为1.404(1.095～1.802);第1次吸完1整支烟的年龄越小,吸烟的风险较高,其OR值及95%的可信区间为1.947(1.055～3.592)。结论成都市某区青年警察的吸烟率较高,控烟意识较为薄弱。
Objective To investigate the status quo of smoking among young policemen in a certain district of Chengdu and its related influencing factors through surveys and to provide a scientific basis for the relevant departments to formulate reasonable and feasible tobacco control measures. Methods A total of 178 youth-related smoking questionnaires in Chengdu were collected. The questionnaire included demographic characteristics, current smoking status and smoking cessation information. Univariate logistic regression and multivariate logistic regression analysis were used to analyze the influencing factors of smoking. All data is processed using SPSS 13.0 software. Results All 178 police officers were male, with an average age of (24.47 ± 2.80) years. The marital status was the highest (78.16%) and the highest proportion was college education and undergraduate education (39.41% and 34.12% respectively) . Among them, 113 smokers smoked at a rate of 63.50%. The mean daily smokers ’smokers’ daily intake was (13.07 ± 5.90). The mean smoking age was (15.78 ± 2.41) years old, of which the youngest was 10 years old. The maximum age is 20 years and the average smoking age is (6.93 ± 3.38) years. The investigation of police quit smoking rate accounted for 25.28%, of which 67.06% of people for their own health to quit smoking, household total control of tobacco accounted for 14.63%, 33.33% of the total control of tobacco; units to carry out a comprehensive control of tobacco accounted for 10.57%, part of tobacco control accounted for 49.59 %. The multivariate stepwise logistic regression analysis showed that the shorter the smoking age, the higher the risk of continuing smoking, the OR value and 95% confidence interval of 1.404 (1.095 ~ 1.802) The smaller the risk of smoking is, the OR and 95% confidence interval is 1.947 (1.055 ~ 3.592). Conclusion Young police officers in a district of Chengdu have a higher smoking rate and a lower awareness of tobacco control.