Associations of Cardiorespiratory Fitness in Children and Adolescents With Physical Activity, Active Commuting to School, and Screen Time
Associations of Cardiorespiratory Fitness in Children and Adolescents With Physical Activity, Active Commuting to School, and Screen Time
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DOI：
10.1123/jpah.8.s2.s198
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发表时间：
2011-09-01
影响因子：
3.1
通讯作者：
Mota, Jorge
中科院分区：
文献类型：
--
作者：
Aires, Luisa;Pratt, Michael;Mota, Jorge
背景：本研究的目的是按性别分析心肺健康（CRF）与身体活动、看电视和使用电脑的时间、上学通勤方式（CS）和肥胖的关系。方法：调查对象为1708名学生（女生53.8%），年龄11 ~ 19岁。CRF采用先前发表的公式，使用VO(2)max进行20米梭跑试验。采用坦纳标准测定成熟阶段、体重指数和皮肤皱褶，并使用问卷评估社会经济地位、PA、电视和电脑时间以及CS模式。我们以CRF为因变量进行回归分析。结果：CRF与身体活动独立且正相关[β = 0.338 (95% CI = 0.119; 0.188)；P < .001]，随着成熟[β = -0.876 (95% CI = 0.666; 1.087；P < .001]；与看电视时间独立且负相关[β = -0.003 (95% Cl = -0.005; -0.002)；P < 0.001]和肥胖[β = -0.068 (95% CI = -0.076; -0.060)；P < 0.001]。CRF与CS呈正相关[β = 0.337；（95% ci = 0.014; 0.741）；P = .014]。没有发现与电脑时间有关。结论：这些发现表明，通过不同领域的干预，如积极的CS，减少久坐活动，如看电视的时间，增加整体身体活动水平，可能是改善青少年CRF的有效策略。
Background: The objective of this study was to analyze associations of cardiorespiratory fitness (CRF) with physical activity, time spent watching television and using computer, mode of commuting to school (CS), and adiposity, by gender. Methods: Participants were 1708 students (53.8% girls), aged 11 to 19 years. CRF was evaluated with a 20-meter shuttle-run test using VO(2)max by previously published equation. Maturation stages determined by Tanner's criteria, body mass index, and skinfolds were measured, and a questionnaire used to assess socioeconomic status, PA, television and computer time, and mode of CS. We conducted a regression analysis using CRF as the dependent variable. Results: CRF was independent and positively associated with physical activity [beta = 0.338 (95% CI = 0.119; 0.188); P < .001] and with maturation [beta = -0.876 (95% CI = 0.666; 1.087); P < .001]; independent and negatively associated with television time [beta = -0.003 (95% Cl = -0.005; -0.002); P < .001] and adiposity [beta = -0.068 (95% CI = -0.076; -0.060); P < .001]. CRF was positively associated with CS [beta = 0.337; (95% CI = 0.014; 0.741); P = .014]. No associations were found for computer time. Conclusions: These findings suggest that increasing overall physical activity levels through interventions in different domains such as active CS, reducing sedentary activities, such as television time, might be effective strategies for improving CRF in youth.