Health related-physical fitness (HRPF) is critical for maintaining and enhancing health and quality of life. Purposes: To estimate the reference values and predictive equations for frequently used clinical field HRPF ...Health related-physical fitness (HRPF) is critical for maintaining and enhancing health and quality of life. Purposes: To estimate the reference values and predictive equations for frequently used clinical field HRPF measures in a sample of Saudi female college students aged 18 - 24 years. Methods: In this cross-sectional study, body fat percentage (BF %) was estimated. Curl-up test (CUT) and sit and reach test (SRT) were applied in 216 students. The Queen’s College Step Test (QCST) was used to predict maximal oxygen consumption (VO<sub>2</sub> max). Physical activity (PA) level was also measured using International Physical Activity Questionnaire (IPAQ). Results: The mean of BF %, SRT, CUT, and predicted VO<sub>2</sub> max were 23.98% ± 6.13%, 17.10 ± 7.50 cm, 28.17 ± 7.72 number/min, and 39.58 ± 4.01 ml/kg/min respectively. There was no significant effect of age on all HRPF measures except for BF % (F <sub>(6,215)</sub> = 3.25, p <sub>(6,215)</sub> = 4.01, p strated that BMI was the predictor for BF % and SRT and explained 65% and 4% of total variance respectively. IPAQ score, age, and height were the predictors of CUT counting 17% of total variance. While, BMI and IPAQ score were the predictors for VO<sub>2</sub> max and explained 13% of the total variance. Conclusion: Reference values can be used clinically in the evaluation of HRPF, in the rehabilitation process as well as in designing a program to improve the HRPF for female college students with consideration of age, height, BMI, and PA level for a particular population.展开更多
Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods rese...Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods research that composed two distinct phases.Study 1 was quantitative research that helped to identify determinants of Chinese college students'continuance intention to use.A self-reported questionnaire was completed by 379 college students to ascertain their user experience.Study 2 was qualitative research.A semi-structured interview was conducted with a sample of 10 college students.Study 2 can be seen as a follow-up study and it pursued an in-depth understanding on how college students use fitness apps in the everyday life and their views towards study 1's major findings.Results:The results revealed that five factors(confirmed usefulness,confirmed ease of use,satisfaction,fitness achievement and social connection)were found to significantly and positively affect college students'continuous intention to use fitness apps.Entertainment did not show obvious impact.In the interview,college students reported that even if they don't obtain entertainment from fitness apps,they will still push themselves to use them,because they have a very specific goal when using fitness apps,which is to achieve health and fitness.Conclusion:These findings indicated that successful fitness apps should make users feel convenient to use and indeed improves the fitness user's efficiency.Besides,people are more eager to get the information with strong credibility with the negligible effort.This implies more efforts should be made to design apps that can provide high-quality services.Moreover,if apps designers can pay more attention to protecting the personal information and data,it will inspire more people to use social connection functions.展开更多
Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a di...Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.展开更多
目的:了解维吾尔族、哈萨克族和汉族大学生的营养和体能状况,调查不同民族体重指数(body mass index,BMI)和体能指数(physical fitness index,PFI)之间的非线性联系。方法:采用分层随机整群抽样方法,抽取2021年新疆维吾尔自治区某高校...目的:了解维吾尔族、哈萨克族和汉族大学生的营养和体能状况,调查不同民族体重指数(body mass index,BMI)和体能指数(physical fitness index,PFI)之间的非线性联系。方法:采用分层随机整群抽样方法,抽取2021年新疆维吾尔自治区某高校非体育专业的维吾尔族、哈萨克族和汉族共3600名大学生作为研究对象,测量身高、体质量、肺活量、50米跑、立定跳远、坐位体前屈、仰卧起坐/引体向上和耐力跑,计算体重指数和各测试成绩的标准化Z分数以及PFI等指标,对数据进行卡方检验、单因素方差分析和非线性二次回归分析。结果:汉族大学生的超重(16.00%)和肥胖(8.08%)检出率明显高于维吾尔族(11.83%和4.08%)和哈萨克族(13.58%和4.58%)大学生,低体重检出率维吾尔族(11.92%)最高,哈萨克族最低(9.75%)。三个民族总体和男女之间BMI分级检出率差异均有统计学意义(P均<0.05)。维吾尔族、哈萨克族和汉族不同BMI分级大学生之间PFI差异均有统计学意义(P均<0.05),总体表现出正常体重组高于其他体重组,且超重组高于肥胖组,但是低体重组的PFI最高。非线性二次回归显示,维吾尔族男女和哈萨克族男生的曲线呈倒“J”形,PFI随着BMI的增大先升高后下降,其余曲线呈弧形,PFI随着BMI的增大而下降。结论:维吾尔族、哈萨克族和汉族大学生超重肥胖会带来体能的下降,但是哈萨克族低体重组男女大学生和汉族低体重组女大学生的体能好于正常体重组。着重提高维吾尔族低体重和超重男生、汉族超重女生的体能可以有效缩小民族内各体重等级和民族间的大学生体能差异。展开更多
文摘Health related-physical fitness (HRPF) is critical for maintaining and enhancing health and quality of life. Purposes: To estimate the reference values and predictive equations for frequently used clinical field HRPF measures in a sample of Saudi female college students aged 18 - 24 years. Methods: In this cross-sectional study, body fat percentage (BF %) was estimated. Curl-up test (CUT) and sit and reach test (SRT) were applied in 216 students. The Queen’s College Step Test (QCST) was used to predict maximal oxygen consumption (VO<sub>2</sub> max). Physical activity (PA) level was also measured using International Physical Activity Questionnaire (IPAQ). Results: The mean of BF %, SRT, CUT, and predicted VO<sub>2</sub> max were 23.98% ± 6.13%, 17.10 ± 7.50 cm, 28.17 ± 7.72 number/min, and 39.58 ± 4.01 ml/kg/min respectively. There was no significant effect of age on all HRPF measures except for BF % (F <sub>(6,215)</sub> = 3.25, p <sub>(6,215)</sub> = 4.01, p strated that BMI was the predictor for BF % and SRT and explained 65% and 4% of total variance respectively. IPAQ score, age, and height were the predictors of CUT counting 17% of total variance. While, BMI and IPAQ score were the predictors for VO<sub>2</sub> max and explained 13% of the total variance. Conclusion: Reference values can be used clinically in the evaluation of HRPF, in the rehabilitation process as well as in designing a program to improve the HRPF for female college students with consideration of age, height, BMI, and PA level for a particular population.
文摘Objective:This current study pursued an exploration of the psychological mechanism that determines college students'continuance intention to use fitness apps.Methods:This current study adopted a mixed methods research that composed two distinct phases.Study 1 was quantitative research that helped to identify determinants of Chinese college students'continuance intention to use.A self-reported questionnaire was completed by 379 college students to ascertain their user experience.Study 2 was qualitative research.A semi-structured interview was conducted with a sample of 10 college students.Study 2 can be seen as a follow-up study and it pursued an in-depth understanding on how college students use fitness apps in the everyday life and their views towards study 1's major findings.Results:The results revealed that five factors(confirmed usefulness,confirmed ease of use,satisfaction,fitness achievement and social connection)were found to significantly and positively affect college students'continuous intention to use fitness apps.Entertainment did not show obvious impact.In the interview,college students reported that even if they don't obtain entertainment from fitness apps,they will still push themselves to use them,because they have a very specific goal when using fitness apps,which is to achieve health and fitness.Conclusion:These findings indicated that successful fitness apps should make users feel convenient to use and indeed improves the fitness user's efficiency.Besides,people are more eager to get the information with strong credibility with the negligible effort.This implies more efforts should be made to design apps that can provide high-quality services.Moreover,if apps designers can pay more attention to protecting the personal information and data,it will inspire more people to use social connection functions.
基金supported by a Grant(2021R1F1A1063634)of the Basic Science Research Program through the National Research Foundation(NRF)funded by the Ministry of Education,Republic of Korea.
文摘Due to the recently increased requirements of e-learning systems,multiple educational institutes such as kindergarten have transformed their learning towards virtual education.Automated student health exercise is a difficult task but an important one due to the physical education needs especially in young learners.The proposed system focuses on the necessary implementation of student health exercise recognition(SHER)using a modified Quaternion-basedfilter for inertial data refining and data fusion as the pre-processing steps.Further,cleansed data has been segmented using an overlapping windowing approach followed by patterns identification in the form of static and kinematic signal patterns.Furthermore,these patterns have been utilized to extract cues for both patterned signals,which are further optimized using Fisher’s linear discriminant analysis(FLDA)technique.Finally,the physical exercise activities have been categorized using extended Kalmanfilter(EKF)-based neural networks.This system can be implemented in multiple educational establishments including intelligent training systems,virtual mentors,smart simulations,and interactive learning management methods.
文摘目的:了解维吾尔族、哈萨克族和汉族大学生的营养和体能状况,调查不同民族体重指数(body mass index,BMI)和体能指数(physical fitness index,PFI)之间的非线性联系。方法:采用分层随机整群抽样方法,抽取2021年新疆维吾尔自治区某高校非体育专业的维吾尔族、哈萨克族和汉族共3600名大学生作为研究对象,测量身高、体质量、肺活量、50米跑、立定跳远、坐位体前屈、仰卧起坐/引体向上和耐力跑,计算体重指数和各测试成绩的标准化Z分数以及PFI等指标,对数据进行卡方检验、单因素方差分析和非线性二次回归分析。结果:汉族大学生的超重(16.00%)和肥胖(8.08%)检出率明显高于维吾尔族(11.83%和4.08%)和哈萨克族(13.58%和4.58%)大学生,低体重检出率维吾尔族(11.92%)最高,哈萨克族最低(9.75%)。三个民族总体和男女之间BMI分级检出率差异均有统计学意义(P均<0.05)。维吾尔族、哈萨克族和汉族不同BMI分级大学生之间PFI差异均有统计学意义(P均<0.05),总体表现出正常体重组高于其他体重组,且超重组高于肥胖组,但是低体重组的PFI最高。非线性二次回归显示,维吾尔族男女和哈萨克族男生的曲线呈倒“J”形,PFI随着BMI的增大先升高后下降,其余曲线呈弧形,PFI随着BMI的增大而下降。结论:维吾尔族、哈萨克族和汉族大学生超重肥胖会带来体能的下降,但是哈萨克族低体重组男女大学生和汉族低体重组女大学生的体能好于正常体重组。着重提高维吾尔族低体重和超重男生、汉族超重女生的体能可以有效缩小民族内各体重等级和民族间的大学生体能差异。
