【摘要】 目的该研究旨在了解硕士研究生超重的现状以及影响因素。方法采用自制调查表的方式对某高校2014—2016年级的所有的在校硕士研究生进行调查,发出问卷2 755份,回收有效问卷2 480份。结果硕士研究生的总的超重率为45.16%,男生的超重现患率为(53.02%)高于女生(33.33%)(χ~2=9.308,P﹤0.05);非医学专业的超重现患率为(56.74%)高于医学专业的硕士生的超重现患率(29.91%)(χ~2=17.684,P=0.000);经常熬夜的硕士生的超重现患率高于不常熬夜的硕士生(χ~2=17.187,P﹤0.01);静态生活方式的用时不同的研究生超重现患率差异有有统计学意义(χ~2=26.720,P=0.000),静态生活方式的用时越长,超重现患率越高;吃夜宵的研究生超重现患率高于不吃夜宵的研究生(χ~2=27.930,P=0.000);没有通过微信平台接受健康知识信息的硕士生的超重现患率(51.05%)高于通过微信平台接受健康知识信息的硕士生的超重现患率(37.14%)(χ~2=4.727,P=0.030)。以身高体重指数为因变量,以其它因素为自变量进行非条件Logistic回归(α入=0.05,α出=0.10)分析,进入回归方程的变量有:性别、专业、熬夜频率、静态生活方式用时、吃夜宵的频率、是否通过微信平台接受健康知识信息。结论性别、专业、熬夜频率、静态生活方式、吃夜宵及是否通过微信平台接受健康知识是硕士研究生超重的影响因素。更多还原

【Abstract】 Objective In order to know the overweight status and related influence factors of postgraduates in some college.Methods All postgraduates at school in some college from 2014 to 2016 were surveyed by the self-made questionnaires and2 755 pieces of questionnaires were issued and 2 480 pieces of questionnaires were recycled. Results The total overweight rate of postgraduates was 45.16%, the overweight prevalence rate in males was higher than that in females(53.02% vs33.33%)(χ~2=9.308,P﹤0.05), and the overweight prevalence rate in students in the non-medical major was higher than that in students in the medical major,(56.74% vs 29.91%)(χ~2=17.684,P=0.000), and the overweight prevalence rate of postgraduates whose often stayed up late was higher than the postgraduates who did not stay up late often(χ~2=17.187,P﹤0.01), and the difference in the overweight prevalence rate between postgraduates of different sedentary lifestyles(χ~2=26.720,P=0.000),and the longer the sedentary lifestyles, the higher the overweight prevalence rate, and the overweight prevalence rate of postgraduates eating midnight snakes was higher than that of postgraduates without eating midnight snakes,(χ~2=27.930,P =0.000), and the overweight prevalence rate of postgraduates receiving the health knowledge information by the wechat platform was higher than that of postgraudates not receiving the health knowledge information by the wechat platform,(51.05%vs 37.14%)(χ~2=4.727,P=0.030), and the height and weight indexes were used as the dependent variable, and the other factors were used as the independent variable for the unconditional Logistic regression analysis, and the variables in the regression equation included gender, major, frequency of staying up, sedentary lifestyle time, frequency of eating snakes and whether to receive the health knowledge information by the wechat platform. Conclusion The gender, major, frequency of staying up, sedentary lifestyle time, frequency of eating snakes and whether to receive the health knowledge information by the wechat platform are the influence factors of overweight of postgraduates.更多还原