Alamian Arsham, Paradis Gilles
National Public Health Institute of Quebec, Montreal, Quebec, Canada.
Am J Epidemiol. 2009 Nov 15;170(10):1279-89. doi: 10.1093/aje/kwp284. Epub 2009 Oct 21.
The authors assessed individual, social, and school correlates of multiple chronic disease behavioral risk factors (physical inactivity, sedentary behavior, tobacco smoking, alcohol drinking, and high body mass index) in a representative sample of Canadian youth aged 10-15 years (mean = 12.5 years) attending public schools. Cross-sectional data (n = 1,747) from cycle 4 (2000-2001) of the National Longitudinal Survey of Children and Youth were used. Ordinal regression models were constructed to investigate associations between selected covariates and multiple behavioral risk-factor levels (0/1, 2, 3, or 4/5 risk factors). Older age (odds ratio (OR) = 1.95, 95% confidence interval (CI): 1.21, 3.13), caregiver smoking (OR = 1.49, 95% CI: 1.09, 2.03), reporting that most/all of one's peers smoked (OR = 7.31, 95% CI: 4.00, 13.35) or drank alcohol (OR = 3.77, 95% CI: 2.18, 6.53), and living in a lone-parent family (OR = 1.94, 95% CI: 1.31, 2.88) increased the likelihood of having multiple behavioral risk factors. Youth with high self-esteem (OR = 0.92, 95% CI: 0.85, 0.99) and youth from families with postsecondary education (OR = 0.58, 95% CI: 0.41, 0.82) were less likely to have a higher number of risk factors. Although several individual and social characteristics were associated with multiple behavioral risk factors, no school-related correlates emerged. These variables should be considered when planning prevention programs.
作者在就读于公立学校的10至15岁(平均年龄 = 12.5岁)加拿大青少年代表性样本中,评估了多种慢性疾病行为风险因素(身体活动不足、久坐行为、吸烟、饮酒和高体重指数)的个体、社会和学校相关因素。使用了儿童和青少年全国纵向调查第4轮(2000 - 2001年)的横断面数据(n = 1,747)。构建了有序回归模型,以研究选定协变量与多种行为风险因素水平(0/1、2、3或4/5种风险因素)之间的关联。年龄较大(优势比(OR)= 1.95,95%置信区间(CI):1.21,3.13)、照顾者吸烟(OR = 1.49,95% CI:1.09,2.03)、报告大多数/所有同龄人吸烟(OR = 7.31,95% CI:4.00,13.35)或饮酒(OR = 3.77,95% CI:2.18,6.53)以及生活在单亲家庭(OR = 1.94,95% CI:1.31,2.88)会增加具有多种行为风险因素的可能性。自尊心强的青少年(OR = 0.92,95% CI:0.85,0.99)以及来自受过高等教育家庭的青少年(OR = 0.58,95% CI:0.41,0.82)具有较高数量风险因素的可能性较小。尽管一些个体和社会特征与多种行为风险因素相关,但未出现与学校相关的因素。在规划预防项目时应考虑这些变量。