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目的了解深圳市光明新区中学生吸烟情况及影响因素的分布,并对特定人群进行分类,为针对性开展中学生吸烟干预提供依据。方法运用分层整群抽样法对深圳市光明新区4所学校544名中学生进行吸烟状况、烟草有关知识、态度和行为、周围环境控烟情况等调查,SAS9.0软件进行分析。结果深圳市光明新区中学生尝试吸烟率为15.1%,吸烟率为3.13%。多因素非条件logistic回归分析:女性(OR=0.50,95%CI:0.26~0.96,P=0.04)为尝试吸烟的保护性因素(P<0.0001),好朋友吸烟(OR=1.88,95%CI:1.08~3.27,P=0.030)、具有好朋友给烟肯定会吸意愿(OR=3.11,95%CI:2.12~4.54,P<0.0001)、年龄增加(OR=1.33,95%CI:1.04~1.69,P=0.020)均增加了尝试吸烟的危险因素,CHAID法决策树分析显示,好朋友给烟肯定会吸和男性分别能对50.0%(41/82)和36.6%(30/82)的尝试吸烟者进行准确分类。尝试吸烟人群中,吸烟者与非吸烟者多因素非条件logistic回归分析,好朋友给烟肯定会吸(OR=8.38,95%CI:2.27~30.93,P=0.001)、父母未告诫不要吸烟(OR=12.29,95%CI:1.21~34.73,P=0.034)是吸烟的危险因素,而认为吸烟会减少体重(OR=0.25,95%CI:0.07~0.87,P=0.029)是保护因素;类平均法聚类分析显示,好朋友给烟是否会吸和父母是否告诫不要吸烟将吸烟者分为三类,其中为父母告诫不要吸烟但好朋友给烟会吸者占64.71%(11/17)。结论深圳市光明新区中学生吸烟状况比较严重,对影响尝试吸烟、吸烟的独立影响因素进行分类分析以确定特定因素及特定人群,而进行相应干预将更有助于提高新区中学生控烟效果。
Objective To understand the distribution of smoking and its influencing factors among middle school students in Guangming New District, Shenzhen, and to classify specific groups of people, so as to provide the basis for targeted smoking intervention in middle school students. Methods A stratified cluster sampling method was used to investigate 544 middle school students from 4 schools in Guangming New District of Shenzhen City about smoking status, tobacco-related knowledge, attitudes and behavior, and tobacco control in the surrounding area. SAS9.0 software was used to analyze the data. Results Shenzhen Guangming New District middle school students attempted smoking was 15.1%, smoking was 3.13%. Multivariate non-conditional logistic regression analysis showed that women (OR = 0.50,95% CI: 0.26-0.96, P = 0.04) were protective factors in attempting to smoke (P <0.0001) (OR = 3.11, 95% CI: 2.12-4.54, P <0.0001), age (OR = 1.33, 95% CI: 1.04 ~ 1.69, P = 0.020) increased the risk factors for smoking. The CHAID decision tree analysis showed that good friends would certainly smoke and males would be 50.0% (41/82) and 36.6% (30/82) respectively Try smokers to accurately classify. Among smokers, multivariate non-conditional logistic regression analysis of smokers and nonsmokers showed that good friends would smoke (OR = 8.38, 95% CI: 2.27-30.93, P = 0.001), and did not advise parents not to smoke OR = 12.29, 95% CI: 1.21-34.73, P = 0.034) were risk factors for smoking, and smoking was associated with a reduction in body weight (OR = 0.25,95% CI: 0.07-0.87, P = 0.029) Average method Clustering analysis showed that whether a good friend smoked a cigarette and whether a parent cautioned against smoking did not classify smokers into three groups. Among them, parents warned not to smoke but good friends gave smoker a 64.71% (11/17) . Conclusion The prevalence of smoking among secondary school students in Guangming New District of Shenzhen City is relatively serious. The independent influencing factors of smoking and smoking are classified to identify specific factors and specific groups of people. The corresponding intervention will be more helpful to improve the control effect of secondary school students in new districts.