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设备测量的睡眠特征、每日步数及心脏代谢健康指标:来自前瞻性身体活动、久坐与睡眠(ProPASS)联盟的研究结果

Device-Measured Sleep Characteristics, Daily Step Count, and Cardiometabolic Health Markers: Findings From the Prospective Physical Activity, Sitting, and Sleep (ProPASS) Consortium.

作者信息

Bian Wenxin, Ahmadi Matthew N, Biswas Raaj Kishore, Blodgett Joanna M, Atkin Andrew J, Chan Hsiu-Wen, Del Pozo Cruz Borja, Suorsa Kristin, Bakker Esmée A, Pulsford Richard M, Mielke Gregore I, Johansson Peter J, Hettiarachchi Pasan, Koemel Nicholas A, Thijssen Dick H J, Stenholm Sari, Mishra Gita D, Teixeira-Pinto Armando, Rangul Vegar, Sherar Lauren B, Ekelund Ulf, Hughes Alun D, Lee I-Min, Cistulli Peter A, Holtermann Andreas, Koster Annemarie, Hamer Mark, Stamatakis Emmanuel

机构信息

Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, NSW, Australia. (W.B., M.N.A., R.K.B., N.A.K., E.S.).

Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, NSW, Australia. (W.B., M.N.A., R.K.B., N.A.K., E.S.).

出版信息

Circ Cardiovasc Qual Outcomes. 2025 Jul 24;18(8):e011873. doi: 10.1161/CIRCOUTCOMES.124.011873.


DOI:10.1161/CIRCOUTCOMES.124.011873
PMID:40703058
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12356571/
Abstract

BACKGROUND: Sleep and physical activity (PA) are important lifestyle-related behaviors that impact cardiometabolic health. This study investigated the joint associations of daily step count and sleep patterns (regularity and duration) with cardiometabolic biomarkers in adults. METHODS: We conducted a cross-sectional study using pooled data from the Prospective PA, Sitting, and Sleep Consortium, comprising 6 cohorts across Europe and Australia with thigh-worn accelerometry data collected between 2011 and 2021. The sleep regularity index, a metric that quantifies day-to-day sleep consistency, sleep duration (h/d), and steps (per day), was derived from the accelerometer data and categorized based on tertiles and sleep duration guidelines. We used multivariate generalized linear models to examine joint associations of sleep patterns and total daily step count with individual cardiometabolic biomarkers, including body mass index, waist circumference, total cholesterol, HDL (high-density lipoprotein) cholesterol, triglycerides, HbA1c (glycated hemoglobin), and a composite cardiometabolic health score (mean of the 6 standardized biomarker scores). RESULTS: The sample included 11 903 adults with a mean±SD age of 54.7±9.5 years, 54.9% female, a sleep regularity index of 78.7±10.4, and 10 206.4±3442.2 daily steps. Lower PA (<8475 steps/d) combined with either lower sleep regularity (sleep regularity index <75.9) or short sleep duration (<7 h/d) was associated with the least favorable composite cardiometabolic health. The corresponding scores (95% CI) were 0.34 (0.30-0.38) and 0.26 (0.22-0.31) compared with those with optimal sleep (sleep regularity index >84.5 or 7-8 h/d) and high step count (>11 553 steps/d). The combination of low sleep regularity and low daily steps was associated with higher body mass index (2.92 [2.61-3.24] kg/m), waist circumference (8.58 [7.78-9.38] cm), total cholesterol (0.15 [0.07-0.23] mmol/L), and lower HDL levels (0.17 [0.14-0.2] mmol/L), regardless of sleep duration. The combination of short sleep and low step count had the strongest unfavorable associations for body mass index (2.31 [1.98-2.65] kg/m) and waist circumference (7.01 [6.15-7.87] cm). CONCLUSIONS: Our findings suggest that the potential deleterious associations of irregular or insufficient sleep with cardiometabolic health outcomes may be exaggerated by lower daily PA. Investigation of the prospective joint association of sleep patterns and PA with cardiometabolic health may be warranted.

摘要

背景:睡眠和身体活动(PA)是与生活方式相关的重要行为,会影响心脏代谢健康。本研究调查了成年人每日步数与睡眠模式(规律性和时长)与心脏代谢生物标志物之间的联合关联。 方法:我们进行了一项横断面研究,使用了来自前瞻性PA、久坐和睡眠联盟的汇总数据,该联盟包括欧洲和澳大利亚的6个队列,收集了2011年至2021年期间大腿佩戴式加速度计数据。睡眠规律性指数是一种量化日常睡眠一致性、睡眠时间(小时/天)和步数(每天)的指标,由加速度计数据得出,并根据三分位数和睡眠时间指南进行分类。我们使用多变量广义线性模型来检验睡眠模式和每日总步数与个体心脏代谢生物标志物之间的联合关联,这些生物标志物包括体重指数、腰围、总胆固醇、高密度脂蛋白(HDL)胆固醇、甘油三酯、糖化血红蛋白(HbA1c)以及综合心脏代谢健康评分(6个标准化生物标志物评分的平均值)。 结果:样本包括11903名成年人,平均年龄±标准差为54.7±9.5岁,女性占54.9%,睡眠规律性指数为78.7±10.4,每日步数为10206.4±3442.2步。较低的身体活动水平(<8475步/天)与较低的睡眠规律性(睡眠规律性指数<75.9)或较短的睡眠时间(<7小时/天)相结合与最不利的综合心脏代谢健康状况相关。与具有最佳睡眠(睡眠规律性指数>84.5或7 - 8小时/天)和高步数(>11553步/天)的人相比,相应的评分(95%置信区间)分别为0.34(0.30 - 0.38)和0.26(0.22 - 0.31)。无论睡眠时间如何,低睡眠规律性和低每日步数的组合与较高的体重指数(2.92 [2.61 - 3.24] kg/m²)、腰围(8.58 [7.78 - 9.38] cm)、总胆固醇(0.15 [0.07 - 0.23] mmol/L)以及较低的HDL水平(0.17 [0.14 - 0.2] mmol/L)相关。短睡眠和低步数的组合对体重指数(2.31 [1.98 - 2.65] kg/m²)和腰围(7.01 [6.15 -

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本文引用的文献

[1]
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.

J Act Sedentary Sleep Behav. 2024-1-5

[2]
How are different clusters of physical activity, sedentary, sleep, smoking, alcohol, and dietary behaviors associated with cardiometabolic health in older adults? A cross-sectional latent class analysis.

J Act Sedentary Sleep Behav. 2023-8-1

[3]
Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose-response associations from the Prospective Physical Activity, Sitting and Sleep Consortium.

Diabetologia. 2024-6

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Eur Heart J. 2024-2-7

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Lancet Public Health. 2023-10

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Sleep. 2024-1-11

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J Am Coll Cardiol. 2023-10-10

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Scand J Med Sci Sports. 2023-8

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