Department of Human Development and Family Studies, Auburn University, Auburn, AL 36849-5214, USA.
J Pediatr Psychol. 2013 Aug;38(7):775-84. doi: 10.1093/jpepsy/jst031. Epub 2013 May 22.
A cumulative risk approach was used to examine the moderating effect of familial risk factors on relations between actigraphy-based sleep quantity (minutes) and quality (efficiency) and sex- and age-standardized body mass index (zBMI).
The sample included 124 boys and 104 girls with a mean age of 10.41 years (SD = 0.67). Children wore actigraphs for 1 week, and their height and weight were assessed in the lab.
After controlling for potential confounds, multiple regression analyses indicated that sleep minutes predicted children's zBMI and that both sleep minutes and efficiency interacted with family risk in the prediction of zBMI. The association between poor sleep and zBMI was especially evident for children exposed to higher levels of family risk.
Findings suggest that not all children who exhibit poor sleep are at equal risk for higher zBMI and that familial and contextual conditions need to be considered in this link.
采用累积风险方法，检验家族风险因素对基于活动记录仪的睡眠量（分钟）和质量（效率）与性别和年龄标准化体重指数（zBMI）之间关系的调节作用。
该样本包括 124 名男孩和 104 名女孩，平均年龄为 10.41 岁（SD=0.67）。儿童佩戴活动记录仪一周，并在实验室中测量他们的身高和体重。
在控制潜在混杂因素后，多元回归分析表明，睡眠时间预测了儿童的 zBMI，并且睡眠时间和效率都与家庭风险相互作用，共同预测了 zBMI。对于暴露于更高水平家庭风险的儿童来说，较差的睡眠与 zBMI 之间的关联尤为明显。
研究结果表明，并非所有表现出较差睡眠的儿童都面临着相同的高 zBMI 风险，并且需要考虑家族和环境条件在这一联系中的作用。
