Suppr超能文献

在 PREDIMED-Plus 试验中,客观测量的睡眠特征与肥胖和 2 型糖尿病的横断面关联。

Cross-sectional associations of objectively-measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial.

机构信息

Universitat Rovira i Virgili. Department of Biochemistry and Biotechnology. Human Nutrition Unit. Sant Joan de Reus Hospital. IISPV, Reus, Spain.

CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.

出版信息

Sleep. 2018 Dec 1;41(12). doi: 10.1093/sleep/zsy190.

Abstract

STUDY OBJECTIVES

To examine independent and combined associations of sleep duration and sleep variability with body composition, obesity and type 2 diabetes (T2D) in elders at high cardiovascular risk.

METHODS

Cross-sectional analysis of 1986 community-dwelling elders with overweight/obesity and metabolic syndrome from PREDIMED-Plus trial. Associations of accelerometry-derived sleep duration and sleep variability with body mass index (BMI), waist circumference (WC) and body composition were assessed fitting multivariable-adjusted linear regression models. Prevalence ratios (PR) and 95% confidence intervals (CI) for obesity and T2D were obtained using multivariable-adjusted Cox regression with constant time. "Bad sleepers" (age-specific non-recommended sleep duration plus sleep variability above the median) and "good sleepers" (age-specific recommended sleep duration plus sleep variability below the median) were characterized by combining sleep duration and sleep variability, and their associations with these outcomes were examined.

RESULTS

One hour/night increment in sleep duration was inversely associated with BMI (β -0.38 kg/m2 [95% CI -0.54, -0.23]), WC (β -0.86 cm [95% CI -1.25, -0.47]), obesity (PR 0.96 [95% CI 0.93, 0.98]), T2D (PR 0.93 [95% CI 0.88, 0.98]) and other DXA-derived adiposity-related measurements (android fat and trunk fat, all p < .05). Each 1-hour increment in sleep variability was positively associated with T2D (PR 1.14 [95% CI 1.01, 1.28]). Compared with "good sleepers," "bad sleepers" were positively associated with obesity (PR 1.12 [95% CI 1.01, 1.24]) and T2D (PR 1.62 [95% CI 1.28, 2.06]).

CONCLUSIONS

This study revealed cross-sectional associations of sleep duration with adiposity parameters and obesity. Sleep duration and sleep variability were associated with T2D. Considering simultaneously sleep duration and sleep variability could have additional value, particularly for T2D, as they may act synergistically.

摘要

研究目的

在心血管高危老年人中,研究睡眠时间和睡眠变异性与身体成分、肥胖和 2 型糖尿病(T2D)的独立和综合关联。

方法

对 PREDIMED-Plus 试验中 1986 名超重/肥胖和代谢综合征的社区居民进行横断面分析。使用多变量调整的线性回归模型评估加速度计衍生的睡眠时间和睡眠变异性与体重指数(BMI)、腰围(WC)和身体成分的关系。使用多变量调整的 Cox 回归进行恒定时间分析,以获得肥胖和 T2D 的患病率比(PR)和 95%置信区间(CI)。通过结合睡眠时间和睡眠变异性来描述“睡眠不佳者”(特定年龄非推荐睡眠时间加睡眠变异性高于中位数)和“睡眠良好者”(特定年龄推荐睡眠时间加睡眠变异性低于中位数),并检查它们与这些结果的关系。

结果

每晚睡眠时间增加 1 小时与 BMI(β -0.38kg/m2 [95%CI -0.54,-0.23])、WC(β -0.86cm [95%CI -1.25,-0.47])、肥胖(PR 0.96 [95%CI 0.93,0.98])、T2D(PR 0.93 [95%CI 0.88,0.98])和其他 DXA 衍生的与肥胖相关的测量值(腹型脂肪和躯干脂肪,均 p<0.05)呈负相关。睡眠变异性每增加 1 小时与 T2D 呈正相关(PR 1.14 [95%CI 1.01,1.28])。与“睡眠良好者”相比,“睡眠不佳者”与肥胖(PR 1.12 [95%CI 1.01,1.24])和 T2D(PR 1.62 [95%CI 1.28,2.06])呈正相关。

结论

本研究揭示了睡眠时间与肥胖参数和肥胖的横断面关联。睡眠时间和睡眠变异性与 T2D 相关。同时考虑睡眠时间和睡眠变异性可能具有额外的价值,特别是对于 T2D,因为它们可能具有协同作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验