重庆市某学校高中生早餐食用频次与健康危险行为的关系

  目的  了解高中生早餐食用频次与健康危险行为的关系，为引导高中生养成每天吃早餐习惯提供参考。  方法  采用方便抽样方法，在重庆某区选取1所高中，对其中3个年级的学生3 283名进行问卷调查。采用Logistic回归分析健康危险行为对早餐食用频次的影响。  结果  高中生每天吃早餐的有2 064名(62.9%)，不吃或有时吃早餐的有1 219名(37.1%)。不同性别、年级、生源地、能量饮料饮用、吸烟、饮酒、赌博、网络成瘾的高中生不健康早餐食用报告(不吃或有时吃)比例差异有统计学意义(χ2值分别为6.80，53.97，8.10，23.79，7.89，16.31，3.93，17.96，P值均＜0.05)，男生(36.1%)高于女生(33.3%)，饮用能量饮料学生(41.2%)高于不饮用学生(31.7%)，吸烟学生(40.9%)高于不吸烟学生(34.4%)，饮酒学生(40.3%)高于不饮酒学生(33.3%)，赌博学生(39.7%)高于不赌博学生(34.3%)，网络成瘾学生(40.0%)高于不成瘾学生(33.0%)。多因素Logistic回归分析显示，能量饮料饮用(OR=1.32，95%CI=1.12~1.55)、饮酒(OR=1.24，95%CI=1.02~1.51)、网络成瘾(OR=1.42，95%CI=1.19~1.68)与高中生不健康早餐食用频次呈正相关(P值均＜0.05)。  结论  社会、家庭、学校应加强引导高中生养成每天吃早餐的习惯，避免不吃早餐与危险行为聚集出现。

Relationship between breakfast eating frequency and health-risk behavior of high school students in Chongqing

  Objective  To investigate the relationship between breakfast eating frequency and health-risk behavior of high school students in Chongqing, and provide a reference for conducting students to get a good habit of eating breakfast everyday.  Methods  A total of 3 283 high school students in Chongqing were selected to participate in a questionnarie by using convenience sampling method. Logistic regression analysis were condueted to analyze the influences made by the unhealty eating behaviors on eating frequency of breakfast.  Results  There were 2 064(69.2%) students eating breakfast everyday, 1 219(37.1%) students having no breakfast or eating breakfast sometimes. There were significant differences between different gender, grade, native place, drinking energy drink, smoking, drinking alcohol, gambling, internet addiction students' rate of unhealthy breakfast eating frequency(χ2=6.80, 53.97, 8.10, 23.79, 7.89, 16.31, 3.93, 17.96, P < 0.05), the males' (36.1%) was beyond the females'(33.3%), the energy drink drinkers'(41.2%) was beyond the non-drinkers'(31.7%), the smokers' (40.9%) was beyond the non-smokers'(34.4%), the alcohol drinkers'(40.3%) was beyond the non-drinkers'(33.3%), the gamblers'(39.7%) was beyond the non-gamblers'(34.3%), those having internet addictions' (40.0%) was beyond those having no addictions' (33.0%). Drinking energy drink(OR=1.32, 95%CI=1.12-1.55), drinking alcohol(OR=1.24, 95%CI=1.02-1.51), internet addiction(OR=1.42, 95%CI=1.19-1.68) were positively correlated with unhealthy breakfast eating frequency of high school students(P < 0.05).  Conclusion  Social, families and schools should strengthen the guidance of high school students to develop the habit of eating breakfast every day, and advoid the clustering of skipping breakfast and health-risk behaviors.