为丰富我国运动技能教育及青少年儿童健康促进研究的视角,运用系统评价方法,基于Web of Science和EBSCO数据库,收集2005—2016年间国外有关3~13岁儿童基本运动技能发展的研究文献。就基本运动技能发展对儿童身体活动与健康的影响进行分...为丰富我国运动技能教育及青少年儿童健康促进研究的视角,运用系统评价方法,基于Web of Science和EBSCO数据库,收集2005—2016年间国外有关3~13岁儿童基本运动技能发展的研究文献。就基本运动技能发展对儿童身体活动与健康的影响进行分析。结果表明:1)基本运动技能对儿童身体活动习惯、健康体重、心血管适能、肌肉力量耐力具有积极影响;2)以BMI指数论证基本运动技能与健康体重关系的精确程度、位移运动技能和目标控制技能对儿童身体活动及健康影响的差异、不同性别间的差异以及亚洲儿童运动技能发展等问题还需进一步深入研究;3)我国应重视基本运动技能促进儿童青少年健康的作用,重新认识儿童运动技能学习的阶段,加快学前运动技能教学研究,提高儿童运动技能学习效率,为青少年儿童终生运动习惯和健康生活奠定基础。展开更多
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
文摘为丰富我国运动技能教育及青少年儿童健康促进研究的视角,运用系统评价方法,基于Web of Science和EBSCO数据库,收集2005—2016年间国外有关3~13岁儿童基本运动技能发展的研究文献。就基本运动技能发展对儿童身体活动与健康的影响进行分析。结果表明:1)基本运动技能对儿童身体活动习惯、健康体重、心血管适能、肌肉力量耐力具有积极影响;2)以BMI指数论证基本运动技能与健康体重关系的精确程度、位移运动技能和目标控制技能对儿童身体活动及健康影响的差异、不同性别间的差异以及亚洲儿童运动技能发展等问题还需进一步深入研究;3)我国应重视基本运动技能促进儿童青少年健康的作用,重新认识儿童运动技能学习的阶段,加快学前运动技能教学研究,提高儿童运动技能学习效率,为青少年儿童终生运动习惯和健康生活奠定基础。
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.
