How do associations between sleep duration and metabolic health differ with age in the UK general population?
How do associations between sleep duration and metabolic health differ with age in the UK general population?
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DOI：
10.1371/journal.pone.0242852
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发表时间：
2020
期刊：
影响因子：
3.7
通讯作者：
Winpenny EM
中科院分区：
文献类型：
--
作者：
Arora A;Pell D;van Sluijs EMF;Winpenny EM
尽管越来越多的证据表明，短睡眠时间可能与不良代谢结果有关，但这些关联在不同年龄组之间的差异仍不清楚。我们使用英国国家饮食和营养调查（NDNS）（2008-2016）的8年数据来分析11-70岁参与者的睡眠时间与代谢风险之间的横断面关系。同时提供代谢风险和睡眠时间数据的参与者（n = 2008）被纳入研究。自我报告的睡眠时间按年龄进行标准化，以解释与年龄相关的睡眠需求差异。建立标准化的代谢风险评分，包括：腰围、血压、血清甘油三酯、血清高密度脂蛋白胆固醇和空腹血糖。建立了从青少年到老年人四个年龄组的回归模型。总的来说，睡眠时间的减少与代谢风险的增加（标准差）相关，具有显著的二次（B:0.028 [95%CI: 0.007, 0.050]）和线性（B:-0.061 [95%CI: -0.111, -0.011]）睡眠时间系数。当按年龄组分开时，与其他年龄组（如青少年（11-18岁），二次系数：-0.009 [95%CI: -0.042, 0.025]）相比，中年人（36-50岁）（二次系数：0.038 [95%CI: 0.002, 0.074]）的相关性更强。在51-70岁的成年人中，周末和工作日睡眠之间的差异增加仅与代谢风险增加有关（B:0.18 [95%CI: 0.005, 0.348]）。我们的研究结果表明，睡眠时间与不良代谢风险有关，并表明不同年龄组之间存在异质性。需要更大样本量的纵向研究来探索异常睡眠的长期影响和潜在的补救益处。
Despite a growing body of evidence suggesting that short sleep duration may be linked to adverse metabolic outcomes, how these associations differ between age groups remains unclear. We use eight years of data from the UK National Diet and Nutritional Survey (NDNS) (2008–2016) to analyse cross-sectional relationships between sleep duration and metabolic risk in participants aged 11–70 years. Participants (n = 2008) who provided both metabolic risk and sleep duration data were included. Self-reported sleep duration was standardised by age, to account for differences in age-related sleep requirements. A standardised metabolic risk score was constructed, comprising: waist circumference, blood pressure, serum triglycerides, serum high-density lipoprotein cholesterol, and fasting plasma glucose. Regression models were constructed across four age groups from adolescents to older adults. Overall, decreased sleep duration (hrs) was associated with an increased metabolic risk (standard deviations) with significant quadratic (B:0.028 [95%CI: 0.007, 0.050]) and linear (B:-0.061 [95%CI: -0.111, -0.011]) sleep duration coefficients. When separated by age group, stronger associations were seen among mid-aged adults (36-50y) (quadratic coefficient: 0.038 [95%CI: 0.002, 0.074]) compared to other age groups (e.g. adolescents (11-18y), quadratic coefficient: -0.009 [95%CI: -0.042, 0.025]). An increased difference between weekend and weekday sleep was only associated with increased metabolic risk in adults aged 51–70 years (B:0.18 [95%CI: 0.005, 0.348]). Our results indicate that sleep duration is linked to adverse metabolic risk and suggest heterogeneity between age groups. Longitudinal studies with larger sample sizes are required to explore long-term effects of abnormal sleep and potential remedial benefits.
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