Associations between sleep variability and cardiometabolic health: A systematic review.

Associations between sleep variability and cardiometabolic health: A systematic review.
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睡眠变异性与心脏代谢健康之间的关联:系统评价。

DOI:
10.1016/j.smrv.2022.101688
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发表时间:
2022-08
影响因子:
10.5
通讯作者:
Sirimon Reutrakul
Sirimon Reutrakul
中科院分区:
医学1区
文献类型:
--
作者:
Bingqian Zhu;Yueying Wang;Jinjin Yuan;Yunping Mu;Pei Chen;Manassawee Srimoragot;Yan Li;Chang G. Park;Sirimon Reutrakul

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这篇综述探讨了睡眠变异性与心脏代谢健康之间的关系。它是根据PRISMA指南进行的。我们发现了63项研究。41项研究调查了睡眠变异性与身体成分之间的关系,其中29项研究调查了身体质量指数(BMI)。13项研究使用了社交时差(SJL),n = 30,519,其中9项报告了零关联。8项研究使用了睡眠时间的可变性(n = 33,029),其中5项报告了与BMI的相关性。14项研究(n = 133,403)关注超重/肥胖; 11项研究(n = 120,168)发现与睡眠变异性显著相关。睡眠变异性与体重增加相关(7项研究; n = 79,522)。23项研究检查了血糖结果。与血红蛋白A1 c的相关性(16项研究,n = 11,755)因人群而异,而与糖尿病或葡萄糖的相关性是混合的,没有观察到与胰岛素抵抗的相关性(5项研究; n = 6416)。16项研究检查了心血管相关结局,结果不一致。在5项关注代谢综合征的研究中发现了总体显著相关性(n = 7413)。总之,睡眠变异性可能与肥胖、体重增加和代谢综合征有关。它可能与1型糖尿病患者的血红蛋白A1 c有关。与其他结果的关联是混合的。这篇综述强调了睡眠变异性和心脏代谢健康之间的可能联系。
This review explored the associations between sleep variability and cardiometabolic health. It was performed following PRISMA guidelines. We identified 63 studies. Forty-one studies examined the association between sleep variability and body composition, with 29 examined body mass index (BMI). Thirteen studies used social jet lag (SJL), n = 30,519, with nine reporting a null association. Eight studies used variability in sleep duration (n = 33,029), with five reporting a correlation with BMI. Fourteen studies (n = 133,403) focused on overweight/obesity; significant associations with sleep variability were found in 11 (n = 120,168). Sleep variability was associated with weight gain (seven studies; n = 79,522). Twenty-three studies examined glucose outcomes. The association with hemoglobin A1c (16 studies, n = 11,755) differed depending on populations, while associations with diabetes or glucose were mixed, and none were seen with insulin resistance (five studies; n = 6416). Sixteen studies examined cardiovascular-related outcomes, with inconsistent results. Overall significant associations were found in five studies focusing on metabolic syndrome (n = 7413). In summary, sleep variability was likely associated with obesity, weight gain, and metabolic syndrome. It might be associated with hemoglobin A1c in people with type 1 diabetes. The associations with other outcomes were mixed. This review highlighted the possible association between sleep variability and cardiometabolic health.
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