不同运动类型与身体活动习惯、生活质量、睡眠质量的关系

Aykut Taşkin, I. Eroğlu Kolayiş
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摘要

在这项研究中,通过考虑运动类型,研究了经常锻炼和不锻炼的人的体育活动习惯、生活质量和睡眠质量之间的关系。本研究采用随机抽样方法,从经常进行体育运动(健身、网球、游泳)的个体中抽取300人(X℃年龄:33.92±9.59),从确定的单位中抽取200人(X℃年龄:32.72±8.45)自愿参加。在本研究中,除了研究者自行制作的个人信息表外,还使用了三种数据收集工具:Baecke Physical Activity Habit Questionnaire (BFAA)、Quality of Life Scale (SF 36)和Pitsburg Sleep Quality Index (PUKI)。在对面对面调查法获得的数据进行分析时,采用独立组t检验、单因素方差分析检验和矩量Pearson积来观察变量之间的关系。当根据参与者的日常运动状况检查他们的体育活动习惯得分时;SF-36量表除BFAA中工作指数子维度外,其余各子维度均有统计学差异。当根据PUKI对不同的运动分支进行检查时,两组之间没有差异,而观察到,与所有其他变量相比,不运动的人的BFAA和SF-36在统计学上较低。此外,健身者的运动指数子维度在网球运动者的身体机能、一般健康知觉、社会功能和心理健康子维度上均高于健身者。虽然睡眠质量与生活质量的所有子维度都相关,但在体育活动习惯方面没有发现统计学上显著的关系。因此,人们观察到,随着体育活动习惯的增加,生活质量也会提高,睡眠质量也会随着生活质量的提高而提高,人们认为,定期锻炼会间接影响睡眠质量。
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Relationship with physical activity habits, quality of life and sleep quality in different exercise types
In this study, the relationship between physical activity habits, quality of life and sleep quality of individuals who exercise regularly and those who do not, were examined by considering exercise types. In the study, 300 participants (X ̅age: 33.92±9.59) from individuals who regularly do sports (Fitness, Tennis, Swimming) by random sampling method and 200 participants who do not regularly do sports (X ̅age: 32.72±8.45) individuals by simple random selection method from defined units participated voluntarily. In this study, in addition to the personal information form created by the researcher, three data collection tools were used: Baecke Physical Activity Habit Questionnaire (BFAA), Quality of Life Scale (SF 36), and Pitsburg Sleep Quality Index (PUKI). In the analysis of the data obtained by the face-to-face survey technique, t test in independent groups, one-way analysis of variance test and Pearson product of moments were used to observe the relationship between the variables. When the physical activity habit scores of the participants were examined according to their regular exercise status; Statistically significant differences were found in favor of the exercising group in all sub-dimensions of the SF-36 scale, except for the work index sub-dimension in BFAA. When examined in terms of different sports branches, there was no difference between the groups according to PUKI, while it was observed that BFAA and SF-36 were statistically lower in those who did not exercise compared to all other variables. In addition, the sports index sub-dimension of those who do fitness is higher in physical function, general health perception, social function and mental health sub-dimensions of those who do tennis. While sleep quality was associated with all sub-dimensions of quality of life, no statistically significant relationship was found in terms of physical activity habits. As a result, it has been observed that the quality of life increases as physical activity habits increase, and sleep quality increases as the quality of life increases, and it is thought that sleep quality is indirectly affected in terms of regular exercise.
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