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Correlates of Multiple Chronic Disease Behavioral Risk Factors in Canadian Children and Adolescents

机译:加拿大儿童和青少年的多种慢性疾病行为危险因素的相关性

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The authors assessed individual, social, and school correlates of multiple chronic disease behavioral risk factorsn(physical inactivity, sedentary behavior, tobacco smoking, alcohol drinking, and high body mass index) in a repre-nsentative sample of Canadian youth aged 10–15 years (mean ¼ 12.5 years) attending public schools. Cross-nsectional data (n ¼ 1,747) from cycle 4 (2000–2001) of the National Longitudinal Survey of Children and Youthnwere used. Ordinal regression models were constructed to investigate associations between selected covariatesnand multiple behavioral risk-factor levels (0/1, 2, 3, or 4/5 risk factors). Older age (odds ratio (OR) ¼ 1.95, 95%nconfidence interval (CI): 1.21, 3.13), caregiver smoking (OR ¼ 1.49, 95% CI: 1.09, 2.03), reporting that most/all ofnone’s peers smoked (OR ¼ 7.31, 95%CI: 4.00, 13.35) or drank alcohol (OR ¼ 3.77, 95%CI: 2.18, 6.53), and livingnin a lone-parent family (OR ¼ 1.94, 95% CI: 1.31, 2.88) increased the likelihood of having multiple behavioral risknfactors. Youth with high self-esteem (OR ¼ 0.92, 95% CI: 0.85, 0.99) and youth from families with postsecondaryneducation (OR ¼ 0.58, 95% CI: 0.41, 0.82) were less likely to have a higher number of risk factors. Althoughnseveral individual and social characteristics were associated with multiple behavioral risk factors, no school-relatedncorrelates emerged. These variables should be considered when planning prevention programs.
机译:作者评估了10-15岁加拿大青年代表样本中多种慢性疾病行为危险因素的个人,社会和学校相关性(体育活动,久坐行为,吸烟,饮酒和高体重指数)。 (平均¼12.5岁)就读公立学校。使用了全国儿童和青年纵向调查第4周期(2000-2001年)的横断面数据(n¼1,747)。构建了序数回归模型,以调查所选协变量与多种行为风险因素水平(0 / 1、2、3或4/5风险因素)之间的关联。老年人(比值比(OR)¼1.95,95%置信区间(CI):1.21,3.13),护理者吸烟(OR¼1.49,95%CI:1.09,2.03),报告大多数/所有同龄人都吸烟(OR ¼7.31,95%CI:4.00,13.35)或饮酒(OR¼3.77,95%CI:2.18,6.53)和一个单亲家庭生活(OR¼1.94,95%CI:1.31,2.88)增加有多种行为危险因素的可能性。自尊心高的年轻人(OR¼0.92,95%CI:0.85,0.99)和中学后教育家庭的年轻人(OR¼0.58,95%CI:0.41,0.82)发生危险因素的可能性较小。尽管几乎没有个人和社会特征与多种行为危险因素有关,但没有出现与学校有关的关联。在规划预防计划时应考虑这些变量。

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