Does sleep duration predict metabolic risk in obese adolescents attending tertiary services? A cross-sectional study.
Does sleep duration predict metabolic risk in obese adolescents attending tertiary services? A cross-sectional study.
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DOI：
10.5665/sleep.1122
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发表时间：
2011-07
期刊：
影响因子：
5.6
通讯作者：
V. Sung;D. Beebe;R. Vandyke;M. Fenchel;Nancy Crimmins;S. Kirk;H. Hiscock;R. Amin;M. Wake
中科院分区：
文献类型：
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作者：
V. Sung;D. Beebe;R. Vandyke;M. Fenchel;Nancy Crimmins;S. Kirk;H. Hiscock;R. Amin;M. Wake
在肥胖青少年的临床样本中，确定较短的睡眠时间是否与代谢风险和肥胖严重程度相关。设计横断面研究。研究单位：美国俄亥俄州辛辛那提三级保健体重管理诊所。对象133名10 ~ 16.9岁肥胖青少年。干预措施多方面的睡眠持续时间的数据进行了检查，空腹静脉穿刺和人体测量数据收集在临床护理。主要结局存在代谢综合征。次要结果包括腰围、甘油三酯、HDL-胆固醇、血压、血糖、胰岛素抵抗（HOMA-IR）和体重指数（BMI）。预测睡眠持续时间（1）父母报告，（2）自我报告，（3）多夜活动记录。分析睡眠时间和每个结果之间的关系通过回归模型进行检查，调整潜在的混杂因素。结果无论如何测量，睡眠时间与代谢综合征（OR 1.1至1.5，P = 0.2至0.8），BMI（β -0.03至-0.01，P = 0.2至0.8）或大多数其他结果没有强相关性。通过自我报告（β 12.3，P = 0.01）和体动记录（β 13.6，P = 0.03），较短的睡眠时间可预测较低的甘油三酯，父母报告的较短的睡眠时间与较高的HDL-胆固醇相关（β =-2.7，P = 0.002）。结论：与预期相反，睡眠时间与代谢结果无关，与血脂水平的相关性有限。虽然睡眠不足可能会影响其他功能领域，但在肥胖青少年的临床样本中，期望延长睡眠时间会改善BMI或代谢结果似乎为时过早。
STUDY OBJECTIVES To determine, in a clinical sample of obese adolescents, whether shorter sleep duration is associated with metabolic risk and obesity severity. DESIGN Cross-sectional study. SETTING Tertiary care weight-management clinic in Cincinnati, OH, USA. PARTICIPANTS 133 obese adolescents aged 10-16.9 years. INTERVENTIONS N/A. MEASUREMENTS Multifaceted sleep duration data were examined with fasting venipuncture and anthropometric data collected during clinical care. PRIMARY OUTCOME presence of metabolic syndrome. SECONDARY OUTCOMES waist circumference, triglycerides, HDL-cholesterol, blood pressure, glucose, insulin resistance (HOMA-IR), and body mass index (BMI). PREDICTORS Sleep duration by (1) parent-report, (2) self-report, and (3) multi-night actigraphy. ANALYSIS Relationships between sleep duration and each outcome were examined via regression models, adjusted for potential confounders. RESULTS Regardless of how measured, sleep duration showed no strong association with metabolic syndrome (OR 1.1 to 1.5, P = 0.2 to 0.8), BMI (β -0.03 to -0.01, P = 0.2 to 0.8), or most other outcomes. Lower triglycerides were predicted by shorter sleep duration by self-report (β 12.3, P = 0.01) and actigraphy (β 13.6, P = 0.03), and shorter parent-reported sleep duration was associated with higher HDL-cholesterol (β = -2.7, P = 0.002). CONCLUSIONS Contrary to expectations, sleep duration was not associated with metabolic outcomes, and showed limited associations with lipid profiles. Although inadequate sleep may affect other areas of functioning, it appears premature to expect that lengthening sleep will improve BMI or metabolic outcomes in clinical samples of obese adolescents.