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中年时期就寝时间、起床时间和卧床时间的规律:与心血管代谢健康指标的关联,并对身体活动和久坐时间进行了调整。

Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time.

作者信息

Nauha Laura, Farrahi Vahid, Jurvelin Heidi, Jämsä Timo, Niemelä Maisa, Ala-Mursula Leena, Kangas Maarit, Korpelainen Raija

机构信息

Research Unit of Population Health, University of Oulu, 5000, 90014, Oulu, Finland.

Research Unit of Health Sciences and Technology, University of Oulu, 5000, 90014, Oulu, Finland.

出版信息

J Act Sedentary Sleep Behav. 2024 Jan 5;3(1):2. doi: 10.1186/s44167-023-00040-6.

DOI:10.1186/s44167-023-00040-6
PMID:40217503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11960235/
Abstract

BACKGROUND

Insufficient sleep has been linked to the accumulation of cardiometabolic risks while physical activity acts as a protective factor. Also, sleep regularity may play a critical role in maintaining optimal cardiometabolic health. This cross-sectional study examined the association between device-based sleep regularity, waking activity behaviors, and cardiometabolic health markers, including blood pressure level; abdominal adiposity level; and blood glucose, insulin, and cholesterol.

METHODS

We included 3698 members of the Northern Finland Birth cohort 1966 who participated in the follow-up study at the age of 46 years between 2012 and 2014 (women 61%). We used seven-day standard deviations of device-based bedtime, wake-up time, and time in bed to reflect sleep regularities. As covariates in linear regression models, we used commonly known potential risk factors in (gender, education, marital status, work schedule, smoking status, alcohol risk use, seven-day time in bed mean, chronotype). In addition to the previous, we used either sedentary time or total physical activity as a covariate (B coefficients with 95% confidence intervals CI).

RESULTS

When we considered sedentary time with other covariates, irregularities in bedtime, wake-up time, and time in bed were associated with unfavorable cardiometabolic health markers, such as higher body mass index (bedtime regularity: 0.194, 95% CI [0.072, 0.316], p = 0.002); higher diastolic blood pressure levels (time in bed regularity: 0.175, 95% CI [0.044, 0.306], p = 0.009); and higher 2-h glucose levels (wake-up time regularity: 0.107, 95% CI [0.030, 0.184], p = 0.006). When we considered total physical activity with other covariates, only irregular bedtime was associated with higher waist circumference (B 0.199, 95% CI [0.042, 0.356], p = 0.013). Irregularities in bedtime and wake-up time were not associated with higher diastolic blood pressure, higher visceral fat area or higher fasting insulin level after considering sedentary time or total physical activity with other covariates (in all, p > 0.05).

CONCLUSIONS

In middle-aged, physical activity appears to weaken the adverse relationship between irregular sleep and cardiometabolic health markers, although the interpretation of the impact of sedentary time remains less conclusive. The clinical significance and extent of the observed associations warrant further investigation.

摘要

背景

睡眠不足与心血管代谢风险的积累有关,而体育活动则是一种保护因素。此外,睡眠规律可能在维持最佳心血管代谢健康方面发挥关键作用。这项横断面研究调查了基于设备的睡眠规律、清醒时的活动行为与心血管代谢健康指标之间的关联,这些指标包括血压水平、腹部肥胖水平以及血糖、胰岛素和胆固醇。

方法

我们纳入了1966年芬兰北部出生队列中的3698名成员,他们在2012年至2014年46岁时参加了随访研究(女性占61%)。我们使用基于设备的就寝时间、起床时间和卧床时间的七天标准差来反映睡眠规律。在线性回归模型中,我们将常见的潜在风险因素作为协变量(性别、教育程度、婚姻状况、工作时间表、吸烟状况、酒精风险使用情况、七天卧床时间均值、生物钟类型)。除上述因素外,我们还将久坐时间或总体育活动作为协变量(B系数及95%置信区间CI)。

结果

当我们将久坐时间与其他协变量一起考虑时,就寝时间、起床时间和卧床时间的不规律与不良的心血管代谢健康指标相关,例如较高的体重指数(就寝时间规律:0.194,95%置信区间[0.072,0.316],p = 0.002);较高的舒张压水平(卧床时间规律:0.175,95%置信区间[0.044,0.306],p = 0.009);以及较高的2小时血糖水平(起床时间规律:0.107,95%置信区间[0.030,0.184],p = 0.006)。当我们将总体育活动与其他协变量一起考虑时,只有不规律的就寝时间与较高的腰围相关(B 0.199,95%置信区间[0.042,0.356],p = 0.013)。在将久坐时间或总体育活动与其他协变量一起考虑后,就寝时间和起床时间的不规律与较高的舒张压、较高的内脏脂肪面积或较高的空腹胰岛素水平无关(总体上,p > 0.05)。

结论

在中年人中,体育活动似乎削弱了不规律睡眠与心血管代谢健康指标之间的不良关系,尽管对久坐时间影响的解释仍不太明确。观察到的关联的临床意义和程度值得进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f8/11960235/25c4e9479278/44167_2023_40_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f8/11960235/25c4e9479278/44167_2023_40_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26f8/11960235/25c4e9479278/44167_2023_40_Fig1_HTML.jpg

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