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青少年睡眠与体重指数之间关联的性别差异。

Sex differences in the association between sleep and body mass index in adolescents.

作者信息

Knutson Kristen L

机构信息

Department of Medicine, University of Chicago, IL 60637, USA.

出版信息

J Pediatr. 2005 Dec;147(6):830-4. doi: 10.1016/j.jpeds.2005.07.019.

Abstract

OBJECTIVE

To determine whether an association between short sleep duration and increased body mass index (BMI) exists in a sample of U.S. adolescents.

STUDY DESIGN

Public-use dataset of the National Longitudinal Study of Adolescent Health. Final sample included 4486 adolescents (51% female). Main outcome was BMI transformed into z-scores for age and sex using reference values from the Centers for Disease Control/National Center for Health Statistics. Overweight was defined as > or =95th percentile. Linear and logistic regression models were calculated. Sleep duration was self-reported in hours. A quadratic term for sleep was added to test curvilinear association. Covariates included age, race, parental education, activity and inactivity scores.

RESULTS

Among males, linear regression indicated that sleep duration significantly predicted BMI z-score (Beta = -0.08, 95% CI: -0.12, -0.03). Logistic regression indicated that sleep duration predicted risk of overweight among males (OR = 0.90, 95% CI: 0.82, 1.00). Sleep duration was not a significant predictor among females in either regression model. Quadratic term for sleep was not significant for either sex.

CONCLUSIONS

Longer sleep duration was weakly associated with lower BMI and risk of overweight among male adolescents only. This sex-related difference may be due to differences in the physiology of puberty or in sleep characteristics.

摘要

目的

确定在美国青少年样本中,短睡眠时间与体重指数(BMI)增加之间是否存在关联。

研究设计

青少年健康全国纵向研究的公共使用数据集。最终样本包括4486名青少年(51%为女性)。主要结局是使用疾病控制中心/国家卫生统计中心的参考值将BMI转换为年龄和性别的z分数。超重定义为大于或等于第95百分位数。计算线性和逻辑回归模型。睡眠时间通过自我报告以小时为单位。添加睡眠的二次项以测试曲线关联。协变量包括年龄、种族、父母教育程度、活动和不活动得分。

结果

在男性中,线性回归表明睡眠时间显著预测BMI z分数(β = -0.08,95%置信区间:-0.12,-0.03)。逻辑回归表明睡眠时间预测男性超重风险(OR = 0.90,95%置信区间:0.82,1.00)。在两个回归模型中,睡眠时间对女性均不是显著预测因素。睡眠的二次项对两性均不显著。

结论

仅在男性青少年中,较长的睡眠时间与较低的BMI和超重风险存在弱关联。这种性别差异可能是由于青春期生理或睡眠特征的差异。

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