上海市青少年课余屏前行为的影响因素与干预研究

发布时间：2018-06-03 06:05

本文选题：屏前行为 + 青少年　；参考：《复旦大学》2014年博士论文

【摘要】：一、研究背景肥胖是儿童青少年人群中主要的公共卫生问题,青少年的屏前行为是肥胖可以干预的影响因素之一。目前国内尚缺乏针对我国城市青少年课余屏前行为在流行现况、对健康的影响、行为的影响因素和干预策略的系统性研究。二、研究目标通过对上海市初中学生为研究人群的现场流行病学研究和健康促进干预试验,掌握青少年屏前行为的现况,分析屏前行为与超重、肥胖的关联,验证过长屏前行为的时间界值,分析心理因素和家庭环境对过长屏前行为的影响。开展以生活技能教育为基础的干预,探索个性特征因素对干预效果的影响,为促进青少年健康和开展有效的干预提供依据。三、研究方法1、青少年静态行为与屏前行为研究。2011年采用多阶段抽样法抽取三个区3所中学的学生自行填写调查表,对学生上学日和周末的整日各个活动分类汇总和分析。对数据进行描述性分析、相关性分析和Kruskal-Wallis检验。2、上海市青少年课余屏前行为与肥胖的研究。采用二阶段随机抽取四个区9所中学6-9年级的学生进行调查。在以上调查的对象中抽取6所学校开展血生化检测。数据进行了描述性分析,采用二项次Logistic回归等进行多因素分析。3、青少年课余屏前行为现况与影响因素研究。对上海市青少年屏前行为的现况进行调查分析,分析心理和家庭因素对过长屏前行为的影响。采用二阶段随机抽取四个区9所中学6-9年级的学生进行调查。分别进行了描述性分析,采用二项次Logistic回归等方法进行多因素分析。4、青少年过长课余屏前行为干预研究。运用社会认知理论和生活技能教育的方法来探索适宜的干预模式,评估干预的效果和干预效果的影响因素,以达到降低中学生不良电子屏幕行为和肥胖率的目的。准试验研究设计,设有干预组和对照组。基线和效果评估的调查均包括问卷调查、体格检查和学校环境的调查。干预措施基于社会认知理论的框架,内容包括生活技能教育教材、教案和教具的制作,以生活技能教育为主要内容开设试点干预学校健康教育课,给学生和家长发放健康行为塑造的小册子,开展学校-家庭共同参与的专题讨论等。分别进行了描述性分析、多因素分析,采用协方差分析、二项次Logistic回归等方法进行多因素分析。四、研究结果1、青少年静态行为与屏前行为研究：周末调查对象的静态行为是每天389.19分钟、屏前行为的时间是每天122.93分钟。青少年的静态行为时间与中重度体力活动无关,与轻度体力活动呈负相关。不同营养状况青少年的周末的屏前时间均值的差异有统计学意义。2、上海市青少年课余屏前行为与肥胖的研究：肥胖组与非肥胖组组比较,屏前时间过长的比率较高,同时肥胖组的父母BMI值较大、男生较多、喝含糖饮料的概率较大、每天锻炼60分钟的天数少、与同龄的孩子相比饭量较大,年龄较小。本研究没有发现过长屏前时间学生的血清葡萄糖、胰岛素、总胆固醇、甘油三酯、高密度脂蛋白、低密度脂蛋白、C-反应蛋白的均值相对增高。经过验证,在调整了年龄、性别和交互作用后界值为1.43个半小时的时候,过长屏前时间对青少年健康已经产生影响。关于过长屏前时间的界值的验证还需要在更多的健康问题当中,并且在不断完善屏前时间测量和调查的方法的基础上进一步验证。3、青少年课余屏前行为现况与影响因素研究：本次调查青少年学生在一周内平均每天的屏前时间的平均值是2.68小时,其中男生为2.92小时,女生为2.47小时。51.5%的调查对象平均每天屏前时间大于或等于2小时。关于心理因素的影响,过长屏前行为的学生当中,不良环境的影响、自卑倾向和学习压力对屏前时间的影响显著。在家庭环境中影响过长屏前时间的因素包括拥有电子设备、家庭对屏前时间没有约束、父母亲的屏前行为过长、母亲的文化程度不高。4、青少年过长课余屏前行为干预研究：经过1年的干预,评估结果发现目标行为没有达到预期的效果。在控制了性别和分组的影响之后,神经质和掩饰性与行为的改变有关。在干预研究中,实验组和对照组的人格特征分布不同,有可能会影响干预的效果。五、研究结论结论：屏前行为已经是上海市青少年普遍的行为。过长屏前行为与肥胖等多种健康问题有关。青少年过长屏前行为受到家庭因素和心理因素的相互影响,屏前行为的干预效果除了干预措施的影响之外,也受到个性特征的影响。
[Abstract]:First, the study of background obesity is the main public health problem among children and adolescents. The pre screen behavior of adolescents is one of the factors that affect obesity. At present, there is a lack of systematic study on the impact of pre screen behavior on health, the influence factors of behavior, and intervention strategies in China's urban adolescents. Two. Through the field epidemiological study and health promotion intervention test of the junior middle school students in Shanghai, the study aims to understand the present situation of young people's pre screen behavior, analyze the correlation between pre screen behavior and overweight and obesity, and verify the time value of the behavior before the long screen, and analyze the shadow of psychological factors and family environment on the long screen behavior. Sound. Carry out the intervention based on life skill education, explore the influence of personality factors on the effect of intervention, and provide the basis for promoting the health and effective intervention of young people. Three, research methods 1, the study on the static behavior and pre screen behavior of young people in.2011, using multi stage sampling method to extract students from three districts and 3 middle schools. The questionnaire survey and analysis of students' daily activities on the day and weekend. Descriptive analysis of the data, correlation analysis and Kruskal-Wallis test.2, study on the pre screen pre screen behavior and obesity in Shanghai adolescents. The two stage randomly selected 6-9 grade students from 9 middle schools in four districts were investigated. 6 schools were selected to carry out blood biochemical tests in 6 schools. The data were analyzed with descriptive analysis, and multiple factor analysis of two times Logistic regression was used for multiple factor analysis.3. The present situation and influencing factors of juvenile extracurricular activities were studied. The status of pre screen behavior of young people in Shanghai was investigated and analyzed, and the psychological and family factors were analyzed before the long screen. In the two stage, the students of grade 6-9 of 9 middle schools in four districts were randomly selected to carry out a survey. The descriptive analysis was carried out, and the multi factor analysis of.4 was carried out with the methods of two Logistic regression and so on. The intervention model was used to assess the effect of intervention and the influencing factors of intervention effect in order to reduce the negative electronic screen behavior and obesity rate of middle school students. A quasi trial design was designed with an intervention group and a control group. The survey of baseline and effect assessment included questionnaire survey, physical examination and the investigation of school environment. Intervention measures were based on society. The framework of the cognitive theory includes the teaching materials of life skills, the production of teaching plans and teaching aids, the establishment of a pilot intervention in school health education, the distribution of healthy behavior to students and parents, and the discussion of the joint participation of schools and families. Multifactor analysis, covariance analysis, two Logistic regression and other methods were used to carry out multifactor analysis. Four. Study results 1. Study on the static behavior and pre screen behavior of adolescents: the static behavior of the subjects at the weekend was 389.19 minutes a day and the time of pre screen behavior was 122.93 minutes a day. The static behavior time and the medium and severe body time of the young people were two. There was a negative correlation between the force activity and the mild physical activity. The difference in the mean value of the pre screen time for the adolescents with different nutritional status was statistically significant.2. The study on the pre screen behavior and obesity in Shanghai adolescents: the ratio of the obese group to the non obese group was higher than that in the non obese group, and the BMI value of the parents in the obese group was higher. Boys were more likely to drink sugar drinks with a larger number of days of exercise 60 minutes a day. Compared with children of the same age, their meals were larger and younger. The study did not find that the average levels of serum glucose, insulin, total cholesterol, triglycerides, HDL, LDL, C- reactive protein were relatively increased in the study. High. It is verified that over 1.43 and a half hours after the adjustment of age, gender and interaction, the long pre screen time has an impact on adolescent health. The validation of the boundary value of the long screen time needs more health problems, and the basis for improving the methods of measuring and investigating pre screen time. Study on the current status and influencing factors of.3, young students' Extracurricular pre screen behavior: the average average daily pre screen time of young students in one week was 2.68 hours, of which boys were 2.92 hours, and girls with 2.47 hours.51.5% were more than or equal to 2 hours per day. In the family environment, the factors that affect the length of the screen in the family environment include electronic equipment, the family has no restraint on the pre screen time, the parents' pre screen behavior is too long, and the mother's level of culture is not high.4, After 1 years of intervention, the results found that the target behavior did not achieve the desired effect. After controlling the effects of sex and grouping, the neuroticism and the disguise were related to the change of behavior. In the intervention study, the personality characteristics of the experimental group and the group were different and may be affected. The effect of sound intervention. Five. Conclusion: pre screen behavior has been a common behavior of adolescents in Shanghai. Excessive pre screen behavior is related to a variety of health problems, such as obesity. The behavior of young adults is influenced by family and psychological factors. The intervention effect of pre screen behavior is also influenced by the intervention measures. The influence of personality traits.
【学位授予单位】：复旦大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：R179

【参考文献】