自我决定动机视野下高职院校大学生体育锻炼和体质的相关研究

发布时间：2018-05-22 17:01

本文选题：自我决定动机 + 高职院校大学生　；参考：《广州体育学院》2017年硕士论文

【摘要】：研究目的:青少年体质下滑,大学生也不例外,而体质与体育锻炼的关系已得到证实,体育锻炼作为一种行为是受动机影响的,但在高职院校大学生中,他们的体质是否与自我决定动机有关?自我决定动机是否通过体育锻炼影响大学生体质不清楚。本研究实地测得高职院校大学生的体质数据,从自我决定动机的角度出发探讨大学生体育锻炼和体质的关系。研究方法:以广东省东莞市东莞职业技术学院大一学生为例,采用随机抽样的方法,选取2016级28个班的400名学生为调查对象,排除问卷填写不完整,基本信息缺失的样本后,最终进入分析的样本为376人,男生175人,女生201人,平均年龄19.09岁。采用基本信息量表对学生的基本情况进行收集;通过锻炼行为调节量表-2获取外部调节、内摄调节、认同调节、内部调节和无动机并计算相对自主指数,用相对自主指数表示自我决定动机;用体育锻炼等级量表从体育锻炼的强度、时间、频率三个维度评价学生体育锻炼的运动量;根据《国家体质健康标准》(2014年修订)对学生进行体质测试,测试指标有身高、体重、肺活量、立定跳远,50米跑,坐位体前屈,800米跑(女)/1000米跑(男)、一分钟仰卧起坐(女)/引体向上(男),并计算体质得分。采用SPSS18.0和AMOS17.0软件对锻炼行为调节量表-2进行信效度检验;用Pearson相关分析各变量之间的关系;用回归分析检验预测作用并对其中介效应进行检验。研究结果:(1)经过检验,《BREQ-2》具有较好的可信度和效度。X~2/df=3.118,CFI=0.901,PMSEA(90%CI)=0.075(0.067-0.084),RMR=0.057,IFI=0.902,NFI=0.863,GFI=0.898,AGFI=0.860,TLI=0.879,适用于我国高职院校大学生人群。(2)体育锻炼的强度、时间、频率及运动量均与认同调节和内在条件呈正相关;体育锻炼行为调节各变量得分从高到低依次是:内在调节,认同调节,内摄调节,外在调节,无动机。(3)自我决定动机与体育锻炼的强度、时间、频率、运动量和体质呈显著正相关,体育锻炼的强度、时间、频率、运动量和体质呈显著正相关。(4)回归分析结果表明,在动机对体质影响路径中,体育锻炼的频率起部分中介作用(p0.05)。然而,体育锻炼的强度和体育锻炼的时间中介作用不显著(P=0.071;P=0.053)。结论:动机能直接影响体质,也可通过体育锻炼频率间接影响体质,体育锻炼频率在动机对体质的影响中起部分中介作用。
[Abstract]:The purpose of the study is: the physical decline of teenagers, students are no exception, and the relationship between physical fitness and physical exercise has been confirmed, physical exercise as a behavior is affected by motivation, but in higher vocational college students, Is their physique related to self-determining motivation? It is not clear whether self-determining motivation affects college students' physique through physical exercise. In this study, the physique data of college students were measured, and the relationship between physical exercise and physique of college students was discussed from the angle of self-determining motivation. Methods: taking the freshmen of Dongguan Vocational and Technical College in Dongguan City, Guangdong Province as an example, using the method of random sampling, 400 students from 28 classes of grade 2016 were selected as the objects of the investigation, and the samples with incomplete filling in the questionnaire and missing basic information were excluded. The final sample was 376, 175 boys and 201 girls, with an average age of 19.09 years. The basic information scale was used to collect the basic information of the students, the external regulation, internal regulation, identity regulation, internal regulation and non-motivation were obtained through exercise behavior adjustment scale -2, and the relative autonomy index was calculated. The relative independent index was used to express the self-determining motivation, and the physical exercise rating scale was used to evaluate the exercise quantity of students from the three dimensions of intensity, time and frequency of physical exercise. According to the National Standard of physical Health (revised in 2014), students were tested on their physique, including height, weight, vital capacity, standing long jump and 50 meters running. Sit position forward bend 800 meters (female / 1000 meters) (male, 1 minute sit-ups) (female / pull up (male), calculate physique score. SPSS18.0 and AMOS17.0 software were used to test the reliability and validity of exercise behavior adjustment scale-2; Pearson correlation was used to analyze the relationship between variables; regression analysis was used to test the predictive effect and intermediary effect. The results showed that < BREQ-2 > had a good reliability and validity. X2 / dfg ~ (3. 118) CFI = 0.901 / PMSEA901) the intensity, time, frequency and quantity of physical exercise were positively correlated with the physical exercise intensity, time, frequency and quantity of physical exercise, and the physical training intensity, time, frequency and quantity of physical exercise were positively correlated with the identification regulation and internal conditions; (0. 902NFI 0.863GFI / 0.89880 / 0.898F = 0.860% TLI0.79) physical exercise intensity, time, frequency and quantity of physical exercise were positively correlated with the identification regulation and internal conditions. The scores of various variables in the regulation of physical exercise behavior were: internal regulation, identity regulation, internal regulation, external regulation, non-motivation. 3) Self-determining motivation and intensity, time and frequency of physical exercise. The results of regression analysis showed that the intensity, time, frequency, amount of exercise and physical fitness were significantly positively correlated with physical fitness. The results showed that the frequency of physical exercise played a part of mediating role in the path of influence of motivation on physique. However, the intensity of physical exercise and the time intermediary function of physical exercise are not significant. Conclusion: motivation can affect physique directly and indirectly through physical exercise frequency. The frequency of physical exercise plays an intermediary role in the influence of motivation on physique.
【学位授予单位】：广州体育学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G804.49

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