华南预防医学 ›› 2013, Vol. 39 ›› Issue (4): 1-5.doi: 10.13217/j.scjpm.2013.04.001

• 论著 •    下一篇

广东省居民吸烟行为与体重指数关系的研究

何志辉1, 2, 刘涛1, 2, 许晓君2, 许燕君2, 马文军1, 2, 赵劭娟3, 李琴3   

  1. 1 广东省公共卫生研究院,广东 广州 511430;2 广东省疾病预防控制中心;3 中山大学公共卫生学院
  • 收稿日期:2013-05-13 出版日期:2013-08-20 发布日期:2013-12-23
  • 通讯作者: 马文军 E-mail:mwj68@vip.tom.com
  • 作者简介:何志辉(1969—),男,硕士,副主任医师,主要从事传染病防控和卫生事业管理工作

Relationship between smoking and body mass index among residents in Guangdong Province

HE Zhi-hui *, LIU Tao, XU Xiao-jun, XU Yan-jun, MA Wen-jun, ZHAO Shao-juan, LI Qin*   

  1. Guangdong Provincial Institute of Public Health, Guangzhou 511430,China
  • Received:2013-05-13 Online:2013-08-20 Published:2013-12-23

摘要:

目的探索广东省居民吸烟行为对体重指数的影响。方法采用多阶段分层随机抽样的方法,2010年对广东省广州市越秀区、云浮市云城区、汕尾市城区、梅州的五华县、肇庆的四会市以及韶关的南雄市6个市(县、区)随机选取18岁及以上常住居民。利用集中调查和入户调查相结合的方式进行问卷调查和体格检查。问卷内容包括个人基本信息、吸烟、饮酒、饮食、身体活动、家庭经济状况等。采用率、比等指标进行统计学描述,均数间的比较用t检验和方差分析,利用多重线性回归以及协方差分析来研究吸烟行为与体重指数的关系。结果共调查3 591人,其中男性1 621人(45.14%),女性1 970人(54.86%)。其中调查人群的现在吸烟率为22.86%(821/3 591),过去吸烟率为4.85%(174/3 591),从不吸烟率为72.29%(2 596/3 591)。调查人群的体重指数平均值为22.96±3.32,从不吸烟、现在吸烟以及过去吸烟人群的体重指数均值分别为23.29±3.64、22.76±3.35、23.01±3.28。控制了性别、年龄、职业、文化程度、家庭人均收入水平、饮酒和运动量之后,发现现在吸烟1~9支/d、现在吸烟10~19支/d与不吸烟的BMI的均数之间差异有统计学意义(P<0.05),其中三者BMI的均数(95%CI)分别为22.27(21.75~22.80)、22.12(21.66~22.59)、23.03(22.90~23.16)。利用多重线性回归分析,控制性别、年龄、职业、文化程度以及饮酒等混杂因素之后,现在吸烟与体重指数呈负相关,其偏回归系数值为-0.552(P<0.05)。结论广东省居民的吸烟率仍维持在较高水平,吸烟与BMI成负相关,但是吸烟导致BMI值降低的非常小。

Abstract:

Objective To assess the effect of smoking on body mass index (BMI) among residents in Guangdong Province. Methods Using the method of multistage clustering random sampling, permanent residents aged 18 years and above were selected from Yuexiu District of Guangzhou City, Yuncheng District of Yunfu City, Town District of Shanwei City, Wuhua County of Meizhou City, Sihui County of Zhao qing City, Nanxiong County of Shaoguan City in 2010.Questionnaire survey and physical examination were conducted using the method of combination of focused and household investigations. Contents of the questionnaire included basic personal information, smoking, drinking, diet, physical activity, and family economic status. Rate and ratio were used for statistic description. T-test, One way ANOVA, and multiple linear regression were used to analyze the relationship between smoking and BMI. Results A total of 3 591 people were surveyed, including 1 621 men (45.14%) and 1 970 women (54.86%). The rates of never smoking, current smoking, and past smoking were 72.29%(2 596/3 591), 22.86%(821/3 591), and 4.85%(174/3 591), respectively. The average BMI of all participants was 22.96±3.32. The mean BMI of never smoking, current smoking, and past smoking were 23.29±3.64, 22.76±3.35, and 23.01±3.28, respectively. After controlling gender, age, occupation, educational level, family income per capita, alcohol, and the amount of exercise, differences among BMI of smoking 1 to 9 cigarettes/day, smoking 10 to 19 cigarettes/day and not smoking were statistically significant (P<0.05), and their average BMI (95% CI) were 22.27 (21.75-22.80), 22.12 (21.66-22.59), and 23.03 (22.90-23.16), respectively. Current smoking and BMI were negatively correlated after adjusting for gender, age, occupation, and other variables, and its beta value was -0.552(P<0.05). Conclusion The smoking rate of residents in Guangdong Province remained high. Smoking was negatively correlated with BMI, but BMI was reduced very less.

中图分类号: 

  • R163.3