Awereness and beliefs on sedentary behavior among university students in Hangzhou City
-
摘要:
目的 分析大学生静态行为及相关知识信念现状及其影响因素,为改善大学生静态行为、维护大学生健康水平提供参考和建议。 方法 采用方便抽样方法抽取杭州市6所高校的1 261名学生进行静态行为及相关知识信念问卷调查,采用χ2检验比较静态行为差异;采用二元Logistic回归分析静态行为的影响因素。 结果 大学生知识得分和信念得分的及格率分别为33.2%和55.5%,工作日和休息日的平均静态行为时间分别是(6.73±3.03)(6.22±3.41)h/d。二元Logistic回归分析结果显示,健康静态行为的影响因素包括性别、年级、专业、运动达标情况和信念及格情况(P值均<0.01),其中女生出现不健康静态行为的可能性是男性的2.18倍(95%CI=1.58~3.01);大四及以上的学生比大一学生更不容易出现不健康静态行为(OR=0.38, 95%CI=0.23~0.61);体育类专业比医学类专业更不容易出现不健康静态行为(OR=0.10, 95%CI=0.03~0.34);运动达标更不容易出现不健康静态行为(OR=0.63, 95%CI=0.48~0.83);信念得分及格的学生更不容易出现不健康静态行为(OR=0.67, 95%CI=0.52~0.87)。 结论 大学生的不健康静态行为较普遍,高校应重视大学生静态行为知识信念水平的提高,促进大学生健康运动习惯养成、减少静态行为时间。 Abstract:Objective To analyze the awereness and beliefs on sedentary behavior among college students and associated factors, so as to provide a reference for improving sedentary behavior. Methods A total of 1 261 students from six universities in Hangzhou City, were selected using a convenience sampling method. Sedentary behavior and its influencing factors were analyzed using the Chi-square test and binary Logistic regression, respectively. Results The pass rate of the knowledge and belief scores were 33.2% and 55.5%, respectively. The average duration of sedentary behavior on weekdays and weedends were (6.73±3.03) and (6.22±3.41)h/d, respectively. The results of the binary Logistic regression analysis showed that the influencing factors of health-related sedentary behavior included gender, grade, subject major, sports performance and belief score (P < 0.01). Female students were 2.18 times more likely to exhibit unhealthy sedentary behaviors than male students (95%CI=1.58-3.01); senior college students were less likely to exhibit unhealthy static behaviors than freshmen (OR=0.38, 95%CI=0.23-0.61); and sports majors were less likely to exhibit unhealthy sedentary behaviors than medical majors (OR=0.10, 95%CI=0.03-0.34). Students with high sports performance were less likely to exhibit unhealthy sedentary behavior (OR=0.63, 95%CI=0.48-0.83). In terms of belief scores, students who obtained a pass rate were less likely to exhibit unhealthy static behavior (OR=0.67, 95%CI=0.52-0.87). Conclusion Sedentary behavior is common among college students, and is influenced by several factors influencing factors. Colleges and universities should pay attention to improving the knowledge and belief level of students' sedentary behavior, promote healthy exercise habits, reduce the duration of static behavior, and maintain the health level of college students. -
Key words:
- Sedentary behavior /
- Knowledge /
- Health education /
- Regression analysis /
- Students
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 不同人口统计学特征大学生不健康静态行为及相关知识信念及格情况比较
Table 1. Comparison of the report rates of static behaviors and related knowledge beliefs of college students with different demographic characteristics
人口统计学指标 人数 统计值 不健康静态行为 知识及格 信念及格 性别 男 365 67(18.4) 116(31.8) 221(60.5) 女 896 331(36.9) 303(33.8) 479(53.5) χ2值 41.48 0.49 5.28 P值 < 0.01 0.49 0.02 年级 大一 412 144(35.0) 143(34.7) 247(60.0) 大二 382 122(31.9) 129(33.8) 186(48.7) 大三 311 106(34.1) 92(29.6) 160(51.4) 大四及以上 156 26(16.7) 55(35.3) 107(68.6) χ2值 19.16 2.61 23.37 P值 < 0.01 0.46 < 0.01 专业 医学类 405 85(21.0) 85(21.0) 149(36.8) 理工类 273 98(35.9) 98(35.9) 157(57.5) 人文社科类 300 148(49.3) 150(50.0) 231(77.0) 体育类 95 3(3.2) 37(38.9) 65(68.4) 其他 188 64(34.0) 49(26.1) 98(52.1) χ2值 40.86 8.98 8.99 P值 < 0.01 0.06 0.06 运动达标 否 743 280(37.7) 234(31.5) 390(52.5) 是 518 118(22.8) 185(35.7) 310(59.8) χ2值 31.39 2.45 6.69 P值 < 0.01 0.12 0.01 注:()内数字为报告率/%。 表 2 大学生静态行为二元Logistic回归分析(n=1 261)
Table 2. Binary Logistic regression analysis of college students' static behavior and related knowledge and beliefs(n=1 261)
自变量 选项 β值 标准误 Wald χ2值 P值 OR值(95%CI) 性别 女 0.78 0.16 22.59 < 0.01 2.18(1.58~3.01) 年级 大二 -0.21 0.16 1.67 0.20 0.81(0.60~1.11) 大三 -0.23 0.17 1.78 0.18 0.80(0.57~1.11) 大四及以上 -0.98 0.25 15.47 < 0.01 0.38(0.23~0.61) 专业 人文社科类 -0.03 0.19 0.03 0.87 0.97(0.67~1.40) 理工类 0.12 0.18 0.48 0.49 1.13(0.80~1.59) 体育类 -2.28 0.61 14.09 < 0.01 0.10(0.03~0.34) 其他 -0.10 0.21 0.24 0.63 0.90(0.59~1.37) 运动达标 是 -0.46 0.14 10.97 < 0.01 0.63(0.48~0.83) 信念得分 是 -0.40 0.13 9.54 < 0.01 0.67(0.52~0.87) 及格 -
[1] TREMBLAY M S, AUBERT S, BARNES J D, et al. Sedentary behavior research network (SBRN)-terminology consensus project process and outcome[J]. Int J Behav Nutr Phys Act, 2017, 14(1): 75. doi: 10.1186/s12966-017-0525-8 [2] NOWAK P F, BOZEK A, BLUKACZ M. Physical activity, sedentary behavior, and quality of life among university students[J]. Biomed Res Int, 2019, 2019: 9791281. [3] MCLAUGHLIN M, ATKIN A J, STARR L, et al. Worldwide surveillance of self-reported sitting time: a scoping review[J]. Int J Behav Nutr Phys Act, 2020, 17(1): 111. doi: 10.1186/s12966-020-01008-4 [4] EZEUGW V I, GARGA N, MANNS P J. Reducing sedentary behaviour after stroke: perspectives of ambulatory individuals with stroke[J]. Disabil Rehabil, 2017, 39(25): 2551-2558. doi: 10.1080/09638288.2016.1239764 [5] YU L, LIANG Q, ZHOU W, et al. Sedentary behavior and the risk of cardiac-cerebral vascular diseases in southern China[J]. Medicine, 2018, 97(44): e12838. doi: 10.1097/MD.0000000000012838 [6] GE Y, XIN S, LUAN D, et al. Association of physical activity, sedentary time, and sleep duration on the health-related quality of life of college students in Northeast China[J]. Health Qual Life Outcomes, 2019, 17(1): 124. doi: 10.1186/s12955-019-1194-x [7] 刘红云. 高级心理统计[M]. 北京: 中国人民大学出版社, 2019: 133.LIU H Y. Advanced psychological statistics[M]. Beijing: China Renmin University Press, 2019: 133. (in Chinese) [8] 郭清. 健康管理学[M]. 北京: 人民卫生出版社, 2015.GUO Q. Health management[M]. Beijing: People's Medical Publishing House, 2015. (in Chinese) [9] 何梅, 刘景裕, 孟露. 大学生身体活动与久坐行为的现状及对策研究: 以武汉商学院为例[J]. 福建体育科技, 2019, 38(1): 43-46. https://www.cnki.com.cn/Article/CJFDTOTAL-FUJI201901012.htmHE M, LIU J Y, MENG L. Physical activity and sedentary behavior of college students: a case study of Wuhan college of commerce[J]. Fujian Sports Sci Technol, 2019, 38(1): 43-46. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-FUJI201901012.htm [10] 李友. 大学生屏幕时间、体力活动与非特异性疼痛的特征及相关性研究[D]. 成都: 四川师范大学, 2020.LI Y. Study on the characteristics and correlation of screen time, physical activity and non-specific pain in college students[D]. Chengdu: Sichuan Normal University, 2020. (in Chinese) [11] 汪海伟, 李占宇, 张晓丹. 天津市部分大学生体力活动水平与身体成分的相关性[J]. 中国学校卫生, 2018, 39(8): 1195-1198. doi: 10.16835/j.cnki.1000-9817.2018.08.023WANG H W, LI Z Y, ZHANG X D. Correlation between physical activity level and body composition of some college students in Tianjin[J]. Chin J Sch Health, 2018, 39(8): 1195-1198. (in Chinese) doi: 10.16835/j.cnki.1000-9817.2018.08.023 [12] 郑珊. 体育专业和非体育专业大学生日常体力活动水平和能量消耗的比较研究[D]. 北京: 首都体育学院, 2014.ZHENG S. A comparative study on daily physical activity level and energy consumption of college students majoring in physical education and non-physical education[D]. Beijing: Capital University of Physical Education and Sports, 2014. (in Chinese) [13] JOHN K, ANN C. Health promotion: theory and practice[M]. London: Macmillans Press, 1995. [14] 李维瑜, 刘静, 余桂林, 等. 知信行理论模式在护理工作中的应用现状与展望[J]. 护理学杂志, 2015, 30(6): 107-110. https://www.cnki.com.cn/Article/CJFDTOTAL-HLXZ201506043.htmLI W Y, LIU J, YU G L, et al. Application status and prospect of knowledge and action theory model in nursing work[J]. J Nurs Sci, 2015, 30(6): 107-110. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HLXZ201506043.htm [15] 吴铭, 杨剑, 王国祥, 等. 基于ICF-CY影响青少年久坐行为相关环境因素Scoping综述[J]. 中国康复理论与实践, 2020, 26(6): 621-630. https://www.cnki.com.cn/Article/CJFDTOTAL-ZKLS202006002.htmWU M, YANG J, WANG G X, et al. An overview of the effects of ICF-CY on sedentary behavior in adolescents[J]. Chin J Rehabil Theory Pract, 2020, 26(6): 621-630. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZKLS202006002.htm [16] 张宝. 成年人静态行为评估与干预对策研究[D]. 上海: 海军军医大学, 2018.ZHANG B. Study on adult static behavior assessment and intervention strategies[D]. Shanghai: Navy Medical University, 2018. (in Chinese) -

计量
- 文章访问数: 527
- HTML全文浏览量: 250
- PDF下载量: 85
- 被引次数: 0