睡眠对美国一般人群代谢、肌肉骨骼疾病和死亡率的影响:来自全国健康和营养检查调查的结果分析。

The Effect of Sleep on Metabolism, Musculoskeletal Disease, and Mortality in the General US Population: Analysis of Results From the National Health and Nutrition Examination Survey.

机构信息

Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha, China.

National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.

出版信息

JMIR Public Health Surveill. 2023 Nov 7;9:e46385. doi: 10.2196/46385.

Abstract

BACKGROUND

Sleep is an important physiological behavior in humans that is associated with the occurrence and development of various diseases. However, the association of sleep duration with health-related outcomes, including obesity-related factors, musculoskeletal diseases, and mortality because of different causes, has not been systematically reported.

OBJECTIVE

This study aims to systematically investigate the effect of sleep duration on health-related outcomes.

METHODS

Overall, 54,664 participants with sleep information from 8 survey cycles of the National Health and Nutrition Examination Survey (2005-2020) were included in the analysis. Health-related outcomes comprised obesity-related outcomes (ie, BMI, obesity, waist circumference, and abdominal obesity), metabolism-related outcomes (ie, uric acid, hyperuricemia, and bone mineral density [BMD]), musculoskeletal diseases (ie, osteoarthritis [OA] and rheumatoid arthritis [RA]), and mortality because of different causes. The baseline information of participants including age, sex, race, educational level, marital status, total energy intake, physical activity, alcohol consumption, smoking, hypertension, and diabetes was also collected as covariates. Information about the metabolism index, disease status, and covariates was acquired from the laboratory, examination, and questionnaire data. Survival information, including survival status, duration, and cause of death, was obtained from the National Death Index records. Quantile regression models and Cox regression models were used for association analysis between sleep duration and health-related outcomes. In addition, the threshold effect analysis, along with smooth curve fitting method, was applied for the nonlinear association analysis.

RESULTS

Participants were divided into 4 groups with different sleep durations. The 4 groups showed significant differences in terms of baseline data (P<.001). The quantile regression analysis indicated that participants with increased sleep duration showed decreased BMI (β=-.176, 95% CI -.220 to -.133; P<.001), obesity (odds ratio [OR] 0.964, 95% CI 0.950-0.977; P<.001), waist circumference (β=-.219, 95% CI -.320 to -.117; P<.001), abdominal obesity (OR 0.975, 95% CI 0.960-0.990; P<.001), OA (OR 0.965, 95% CI 0.942-0.990; P=.005), and RA (OR 0.940, 95% CI 0.912-0.968; P<.001). Participants with increased sleep duration also showed increased BMD (β=.002, 95% CI .001-.003; P=.005), as compared with participants who slept <5.5 hours. A significant saturation effect of sleep duration on obesity, abdominal obesity, and hyperuricemia was detected through smooth curve fitting and threshold effect analysis (sleep duration>inflection point). In addition, a significant threshold effect of sleep duration on BMD (P<.001); OA (P<.001); RA (P<.001); and all-cause (P<.001), cardiovascular disease-cause (P<.001), cancer-cause (P=.005), and diabetes-cause mortality (P<.001) was found. The inflection point was between 6.5 hours and 9 hours.

CONCLUSIONS

The double-edged sword effect of sleep duration on obesity-related outcomes, embolism-related diseases, musculoskeletal diseases, and mortality because of different causes was detected in this study. These findings provided epidemiological evidence that proper sleep duration may be an important factor in the prevention of multisystem diseases.

摘要

背景

睡眠是人类重要的生理行为,与各种疾病的发生和发展有关。然而,睡眠持续时间与健康相关结果(包括肥胖相关因素、肌肉骨骼疾病和不同原因导致的死亡率)的关联尚未得到系统报道。

目的

本研究旨在系统调查睡眠持续时间对健康相关结果的影响。

方法

共纳入 8 个国家健康与营养调查(2005-2020 年)周期中睡眠信息的 54664 名参与者进行分析。健康相关结果包括肥胖相关结果(即 BMI、肥胖、腰围和腹型肥胖)、代谢相关结果(即尿酸、高尿酸血症和骨密度[BMD])、肌肉骨骼疾病(即骨关节炎[OA]和类风湿关节炎[RA])和不同原因导致的死亡率。参与者的基线信息包括年龄、性别、种族、教育水平、婚姻状况、总能量摄入、体力活动、饮酒、吸烟、高血压和糖尿病,也作为协变量收集。代谢指数、疾病状况和协变量的信息是从实验室、检查和问卷调查数据中获得的。生存信息,包括生存状态、持续时间和死亡原因,是从国家死亡指数记录中获得的。使用分位数回归模型和 Cox 回归模型对睡眠持续时间与健康相关结果之间的关联进行分析。此外,还应用了阈值效应分析和光滑曲线拟合方法进行非线性关联分析。

结果

参与者被分为 4 组不同的睡眠持续时间。4 组在基线数据方面存在显著差异(P<.001)。分位数回归分析表明,随着睡眠持续时间的增加,参与者的 BMI(β=-.176,95%CI -.220 至-.133;P<.001)、肥胖(OR 0.964,95%CI 0.950-0.977;P<.001)、腰围(β=-.219,95%CI -.320 至-.117;P<.001)、腹型肥胖(OR 0.975,95%CI 0.960-0.990;P<.001)、OA(OR 0.965,95%CI 0.942-0.990;P=.005)和 RA(OR 0.940,95%CI 0.912-0.968;P<.001)均降低。与睡眠<5.5 小时的参与者相比,睡眠持续时间增加的参与者的 BMD(β=.002,95%CI.001-.003;P=.005)也增加。通过光滑曲线拟合和阈值效应分析(睡眠持续时间>拐点)检测到睡眠持续时间对肥胖、腹型肥胖和高尿酸血症的饱和效应(睡眠持续时间>拐点)。此外,还发现睡眠持续时间对 BMD(P<.001);OA(P<.001);RA(P<.001);以及全因(P<.001)、心血管疾病原因(P<.001)、癌症原因(P=.005)和糖尿病原因死亡率(P<.001)的阈值效应有显著影响。拐点在 6.5 小时到 9 小时之间。

结论

本研究检测到睡眠持续时间对肥胖相关结果、栓塞相关疾病、肌肉骨骼疾病和不同原因导致的死亡率的双重影响。这些发现提供了流行病学证据,表明适当的睡眠持续时间可能是预防多系统疾病的一个重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e773/10664015/c1a7678b7378/publichealth_v9i1e46385_fig1.jpg

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