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

Determinants of physical activity in obese children assessed by accelerometer and self-report
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DOI:
10.1097/00005768-199609000-00012
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发表时间:
1996-09-01
影响因子:
4.1
通讯作者:
Anderson, K
Anderson, K
中科院分区:
医学2区
文献类型:
--
作者:
Epstein, LH;Paluch, RA;Anderson, K

文献摘要

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先前的研究表明,预测成年人活动的因素取决于测量方法。本研究旨在评估59名肥胖儿童的活动预测因素。使用自我报告和TriTrac加速计MET测量活动。自我报告和TriTrac加速度计测量中度相关,r = 0.46,自我报告的活动(2.3 MET)显著大于TriTrac(1.6 MET)。分层回归分析研究了社会经济水平,身体成分,健身,儿童和成人活动行为的享乐主义,以及自我报告和加速度计测量的活动的决策平衡的影响,控制儿童和父母的精神病理学。儿童和父母的心理症状分别占加速度计和自我报告MET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自我报告的活动占儿童活动增量方差的14.8%。儿童活动的自我报告模型发现,儿童健身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是不同的测量方法的基础上,与成人的研究一致。
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.