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通过加速度计和自我报告评估肥胖儿童身体活动的决定因素。

Determinants of physical activity in obese children assessed by accelerometer and self-report.

作者信息

Epstein L H, Paluch R A, Coleman K J, Vito D, Anderson K

机构信息

Department of Psychology, University at Buffalo, NY, USA.

出版信息

Med Sci Sports Exerc. 1996 Sep;28(9):1157-64. doi: 10.1097/00005768-199609000-00012.

Abstract

Previous research has shown that predictors of activity in adults depend upon the method of measurement. This study is designed to assess the predictors of activity in a sample of 59 obese children. Activity was measured using self-reported and TriTrac accelerometer METs. Self-report and TriTrac accelerometer measures were moderately correlated, r = 0.46, with the self-reported activity (2.3 METs) significantly greater than TriTrac (1.6 METs). Hierarchical regression analysis examined the influence of socioeconomic level, body composition, fitness, hedonics of child and adult activity behaviors, and decisional balance on self-reported and accelerometer-measured activity, controlling for child and parent psychopathology. Child and parent psychological symptoms accounted for 8.3% and 3.4% of the variance in accelerometer and self-reported METs, respectively. The model for accelerometer-measured activity showed socioeconomic level and parent self-report of activity accounted for 14.8% of the incremental variance in child activity. The model for self-report of child activity found that child fitness accounted for 23.5% of the incremental variance in child activity. These results suggest that the predictors of activity level are different based upon the method of measurement, consistent with research in adults.

摘要

先前的研究表明,成年人活动的预测因素取决于测量方法。本研究旨在评估59名肥胖儿童样本中活动的预测因素。活动通过自我报告和TriTrac加速度计代谢当量(METs)来测量。自我报告和TriTrac加速度计测量结果呈中度相关,r = 0.46,自我报告的活动(2.3 METs)显著高于TriTrac测量结果(1.6 METs)。分层回归分析考察了社会经济水平、身体成分、健康状况、儿童和成人活动行为的享乐主义以及决策平衡对自我报告和加速度计测量的活动的影响,并控制了儿童和父母的精神病理学因素。儿童和父母的心理症状分别占加速度计测量的METs和自我报告的METs方差的8.3%和3.4%。加速度计测量活动的模型显示,社会经济水平和父母对活动的自我报告占儿童活动增量方差的14.8%。儿童活动自我报告的模型发现,儿童健康状况占儿童活动增量方差的23.5%。这些结果表明,活动水平的预测因素因测量方法而异,这与对成年人的研究一致。

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