综合评价法在明确中学生吸烟影响因素主导效应中的运用

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)为尝试吸烟的保护性因素(P<0.001),好朋友吸烟(OR=1.88, 95%CI:1.08~3.27),具有好朋友给烟肯定会吸意愿(OR=3.11, 95%CI:2.12~4.54),年龄增加(OR=1.33, 95%CI:1.04~1.69)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),父母未告诫不要吸烟(OR=12.29, 95%CI:1.21~34.73)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)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: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.

Application of Comprehensive evaluation method in ascertaining domain effect of smoking influence factors among the middle school students

Objective:To lean the prevalence of smoking and the distribution of its influence factors and to classify the specific groups,and to provide evidence for developing targeted tobacco control strategies. Methods: A total of 544 middle school students were selected by stratified cluster sampling to conduct questionnaire survey, and SAS 9.0 was used to analyze the survey data. Results:The rates were to be 15.07%, 3.13% of attempting smoking and smoking. Multivariate logistic regression analysis were used to analyze the influence factors, and found that age (OR=1.33, 95%CI:1.04~1.69), good friends smoking (OR=1.88, 95%CI:1.08~3.27), and intention to smoke the cigarette from good friends (OR=3.11, 95%CI:2.12~4.54) increasing the risk of attempting smoking, while female to be less likelihood of attempting smoking contrast male (OR=0.50, 95%CI:0.26~0.96, p<0.0001). 50.0% (41/82) and 36.6% (30 /82) attempting smokers were classified correctly by good friends smoking and intention to smoke the cigarette from good friends in CHAID classification method. And intention to smoke the cigarette from good friends(OR=8.38, 95%CI:2.27~30.93)and parents having not told no smoking(OR=12.29, 95%CI:1.21~34.73) increased the risk of smoking and considering smoking being able to decrease weight (OR=0.25, 95%CI:0.07~0.87) decreased the risk of smoking in attempting smokers, while smokers were classified into three groups by intention to smoke the cigarette from good friends and parents telling no smoking in average linkage cluster analysis, with 64.17%(11/17) smokers having the intention to smoke the cigarette with parents telling no smoking. Conclusions:The prevalence of smoking is not to be optimistic in middle school students, and ascertaining the specific factors and groups by classifying the influence factors of attempting smoking and smoking will increase the effect of controlling smoking in the middle school students of Shenzhen guangming district.