睡眠片段化与肥胖风险：睡眠心脏健康研究。

Sleep fragmentation and the risk of obesity: The Sleep Heart Health Study.

机构信息

Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Department of Obstetrics and Gynecology, Northwest Women's and Children's Hospital, Xi'an, China.

出版信息

Obesity (Silver Spring). 2021 Aug;29(8):1387-1393. doi: 10.1002/oby.23193. Epub 2021 Jul 1.

DOI:10.1002/oby.23193

PMID:34196121

Abstract

OBJECTIVE

Sleep disturbances have been recognized as a risk factor for obesity. This study used polysomnography records to investigate associations between sleep fragmentation and obesity.

METHODS

Objectively measured sleep fragmentation data recorded by in-home polysomnography, including total arousal index (ArI-total), ArI in rapid eye movement (REM) sleep (ArI-REM), ArI in non-REM sleep (ArI-NREM), sleep fragmentation index, sleep efficiency (SE), and wake after sleep onset (WASO), were based on the Sleep Heart Health Study (2,835 men and 2,888 women with a mean [SD] age of 63.2 [11.2] years). Multivariable regression analyses were used to examine the relationship between sleep fragmentation and obesity.

RESULTS

Multinomial logistic regression showed that participants with obesity have a significantly higher ArI-total (odds ratio [OR] 1.018; 95% CI: 1.010-1.026, p < 0.001), ArI-REM (OR 1.010; 95% CI: 1.002-1.018, p = 0.009), ArI-NREM (OR 1.017; 95% CI: 1.009-1.024, p < 0.001), and WASO (OR 1.003; 95% CI: 1.001-1.005, p = 0.007) compared with those with normal weight. Furthermore, multiple linear regression analyses showed an obvious correlation between ArI-total, ArI-REM, ArI-NREM, SE, WASO, and BMI.

CONCLUSIONS

The results revealed that ArI-total, ArI-REM, ArI-NREM, SE, and WASO were associated with obesity. The improvement of sleep fragmentation may contribute to decreasing the risk of obesity.

摘要

目的

睡眠障碍已被认为是肥胖的一个风险因素。本研究使用多导睡眠图记录来研究睡眠碎片化与肥胖之间的关系。

方法

基于睡眠心脏健康研究（2835 名男性和 2888 名女性，平均[SD]年龄 63.2[11.2]岁），使用多导睡眠图记录的客观测量睡眠碎片化数据，包括总觉醒指数（ArI-total）、快速眼动（REM）睡眠中的觉醒指数（ArI-REM）、非快速眼动（NREM）睡眠中的觉醒指数（ArI-NREM）、睡眠碎片化指数、睡眠效率（SE）和睡眠后觉醒时间（WASO）。采用多变量回归分析来检验睡眠碎片化与肥胖之间的关系。

结果

多项逻辑回归显示，肥胖参与者的 ArI-total（比值比[OR] 1.018；95%置信区间[CI]：1.010-1.026，p<0.001）、ArI-REM（OR 1.010；95% CI：1.002-1.018，p=0.009）、ArI-NREM（OR 1.017；95% CI：1.009-1.024，p<0.001）和 WASO（OR 1.003；95% CI：1.001-1.005，p=0.007）明显高于体重正常者。此外，多元线性回归分析显示，ArI-total、ArI-REM、ArI-NREM、SE 和 WASO 与 BMI 之间存在明显相关性。