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Machine learning in physical activity, sedentary, and sleep behavior research 体育锻炼、久坐不动和睡眠行为研究中的机器学习
Pub Date : 2024-01-30 DOI: 10.1186/s44167-024-00045-9
Vahid Farrahi, Mehrdad Rostami
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引用次数: 2
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 中年时期睡觉时间、起床时间和躺在床上时间的规律性:与心脏代谢健康指标的关系,并对体力活动和久坐时间进行了调整
Pub Date : 2024-01-05 DOI: 10.1186/s44167-023-00040-6
Laura Nauha, Vahid Farrahi, H. Jurvelin, T. Jämsä, Maisa Niemelä, Leena Ala-Mursula, M. Kangas, R. Korpelainen
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引用次数: 0
Regional cultures and insufficient sleep in the United States 美国的地区文化与睡眠不足
Pub Date : 2024-01-04 DOI: 10.1186/s44167-023-00043-3
Nicolaas P. Pronk, Ross Arena, Deepika R. Laddu, Colin Woodard
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引用次数: 0
Sociodemographic factors, parental mental health and movement behaviours in the early years: the SUNRISE Finland study protocol 社会人口因素、父母心理健康和幼儿期的运动行为:芬兰 SUNRISE 研究方案
Pub Date : 2024-01-03 DOI: 10.1186/s44167-023-00042-4
Elina Engberg, Amanda Ojala, Hanna Paasio, J. Lahti, Pasi Koski, K. Vehviläinen-Julkunen, Raija Korpelainen, Soile Puhakka, Anthony Okely, Eva Roos
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引用次数: 0
The impact of different data handling strategies on the proportion of children classified as meeting 24-h movement guidelines and associations with overweight and obesity 不同数据处理策略对符合 24 小时运动指南的儿童比例的影响以及与超重和肥胖的关系
Pub Date : 2024-01-02 DOI: 10.1186/s44167-023-00041-5
C. Pfledderer, S. Burkart, R. Dugger, Hannah Parker, L. von Klinggraeff, A. Okely, R. G. Weaver, Michael W. Beets
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引用次数: 0
Assessing the level of device-measured physical activity according to insomnia symptoms in 1,354 individuals with diabetes: the HUNT Study, Norway. 根据 1,354 名糖尿病患者的失眠症状评估设备测量的体力活动水平:挪威 HUNT 研究。
Pub Date : 2024-01-01 Epub Date: 2024-11-04 DOI: 10.1186/s44167-024-00066-4
Sofie Rath Mortensen, Paul Jarle Mork, Søren T Skou, Atle Kongsvold, Bjørn Olav Åsvold, Tom Ivar Lund Nilsen, Eivind Schjelderup Skarpsno

Background: Insomnia symptoms that influence daytime functioning are common among adults with type 2 diabetes. However, no previous study has examined if levels of physical activity differ among adults with diabetes with and without insomnia symptoms. Thus, the aim of this study was to assess the difference in total physical activity (TPA) and moderate-to-vigorous physical activity (MVPA) levels in individuals with diabetes with and without insomnia symptoms.

Methods: This cross-sectional study included 1,354 participants with any type of diabetes who participated in the Norwegian HUNT4 Study, 2017-19. Participants were defined to have 'insomnia symptoms' if they reported difficulty initiating and/or maintaining sleep ≥ 3 nights/week during the last 3 months. MVPA (defined as moderate/brisk walking [> 4.0 km/h], running, and cycling), and TPA (MVPA including slow walking [≤ 4.0 km/h]) were determined from two accelerometers worn on the thigh and lower back. Analyses were stratified by age and sex.

Results: The median age was 67 years and 491 (36%) had insomnia symptoms and 37 (3%) had insomnia disorder. Among women, 28% with one or more insomnia symptoms fulfilled the recommended minimum level of physical activity, as compared to 34% in women without insomnia symptoms. The corresponding proportions in men were 48% and 45%. Women above 65 years with insomnia symptoms performed less TPA (-73 min/week, 95% CI -122 to -24) and MVPA (-33 min/week, 95% CI -50 to -15), compared to women without insomnia symptoms in the same age group. There was no clear difference in physical activity levels according to insomnia symptoms in men or women below 65 years. Women and men with insomnia disorder had substantially lower TPA (women: -192 min/week, 95% CI -278 to -106; men: -276 min/week, 95% CI -369 to -193) and MVPA (women: -37 min/week, 95% CI -63 to -11; men: -67 min/week, 95% CI -83 to -50) than those without insomnia symptoms.

Conclusions: This study showed that women above 65 years with insomnia symptoms and individuals with insomnia disorder performed less physical activity, suggesting that these subgroups may suffer from additional challenges that prevent them from engaging in regular physical activity.

Supplementary information: The online version contains supplementary material available at 10.1186/s44167-024-00066-4.

背景:影响日间功能的失眠症状在 2 型糖尿病成人患者中很常见。然而,以前的研究从未调查过有失眠症状和无失眠症状的成人糖尿病患者的体力活动水平是否存在差异。因此,本研究旨在评估有失眠症状和无失眠症状的糖尿病患者的总体力活动(TPA)和中强度体力活动(MVPA)水平的差异:这项横断面研究纳入了参加2017-19年挪威HUNT4研究的1354名任何类型糖尿病患者。如果参与者表示在过去 3 个月中,开始睡眠和/或保持睡眠困难的时间≥ 3 晚/周,则被定义为有 "失眠症状"。MVPA(定义为中度/快走[> 4.0 km/h]、跑步和骑自行车)和TPA(MVPA包括慢走[≤ 4.0 km/h])由佩戴在大腿和腰部的两个加速度计测定。根据年龄和性别进行了分层分析:中位年龄为 67 岁,491 人(36%)有失眠症状,37 人(3%)有失眠症。在女性中,有一种或多种失眠症状的人中有 28% 达到了建议的最低体育锻炼水平,而没有失眠症状的女性中这一比例为 34%。男性的相应比例分别为 48% 和 45%。有失眠症状的 65 岁以上女性与同年龄组无失眠症状的女性相比,TPA(-73 分钟/周,95% CI -122 至 -24)和 MVPA(-33 分钟/周,95% CI -50 至 -15)活动量较少。65 岁以下男性和女性的体育锻炼水平与失眠症状没有明显差异。患有失眠症的女性和男性的TPA(女性:-192分钟/周,95% CI -278至-106;男性:-276分钟/周,95% CI -369至-193)和MVPA(女性:-37分钟/周,95% CI -63至-11;男性:-67分钟/周,95% CI -83至-50)远低于无失眠症状者:本研究显示,65 岁以上有失眠症状的女性和失眠症患者的体育活动量较少,这表明这些亚群体可能面临更多挑战,导致他们无法定期参加体育活动:在线版本包含补充材料,可在10.1186/s44167-024-00066-4上查阅。
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引用次数: 0
A systematic review of research reporting practices in observational studies examining associations between 24-h movement behaviors and indicators of health using compositional data analysis. 利用组合数据分析,对研究报告实践进行系统性回顾,观察 24 小时运动行为与健康指标之间的关联。
Pub Date : 2024-01-01 Epub Date: 2024-10-02 DOI: 10.1186/s44167-024-00062-8
Denver M Y Brown, Sarah Burkart, Claire I Groves, Guilherme Moraes Balbim, Christopher D Pfledderer, Carah D Porter, Christine St Laurent, Emily K Johnson, Chelsea L Kracht

Background: Compositional data analysis (CoDA) techniques are well suited for examining associations between 24-h movement behaviors (i.e., sleep, sedentary behavior, physical activity) and indicators of health given they recognize these behaviors are co-dependent, representing relative parts that make up a whole day. Accordingly, CoDA techniques have seen increased adoption in the past decade, however, heterogeneity in research reporting practices may hinder efforts to synthesize and quantify these relationships via meta-analysis. This systematic review described reporting practices in studies that used CoDA techniques to investigate associations between 24-h movement behaviors and indicators of health.

Methods: A systematic search of eight databases was conducted, in addition to supplementary searches (e.g., forward/backward citations, expert consultation). Observational studies that used CoDA techniques involving log-ratio transformation of behavioral data to examine associations between time-based estimates of 24-h movement behaviors and indicators of health were included. Reporting practices were extracted and classified into seven areas: (1) methodological justification, (2) behavioral measurement and data handling strategies, (3) composition construction, (4) analytic plan, (5) composition-specific descriptive statistics, (6) model results, and (7) auxiliary information. Study quality and risk of bias were assessed by the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-sectional Studies.

Results: 102 studies met our inclusion criteria. Reporting practices varied considerably across areas, with most achieving high standards in methodological justification, but inconsistent reporting across all other domains. Some items were reported in all studies (e.g., how many parts the daily composition was partitioned into), whereas others seldom reported (e.g., definition of a day: midnight-to-midnight versus wake-to-wake). Study quality and risk of bias was fair in most studies (85%).

Conclusions: Current studies generally demonstrate inconsistent reporting practices. Consistent, clear and detailed reporting practices are evidently needed moving forward as the field of time-use epidemiology aims to accurately capture and analyze movement behavior data in relation to health outcomes, facilitate comparisons across studies, and inform public health interventions and policy decisions. Achieving consensus regarding reporting recommendations is a key next step.

Supplementary information: The online version contains supplementary material available at 10.1186/s44167-024-00062-8.

背景合成数据分析(CoDA)技术非常适合研究 24 小时运动行为(即睡眠、久坐行为、体力活动)与健康指标之间的关系,因为它们认识到这些行为是相互依存的,是构成一天的相对部分。因此,CoDA 技术在过去十年中得到了越来越多的采用,然而,研究报告实践中的异质性可能会阻碍通过荟萃分析来综合和量化这些关系的努力。本系统性综述描述了使用 CoDA 技术调查 24 小时运动行为与健康指标之间关系的研究报告实践:方法:对八个数据库进行了系统检索,此外还进行了补充检索(如正向/反向引用、专家咨询)。研究纳入了使用 CoDA 技术(涉及行为数据的对数比例转换)研究 24 小时运动行为的时间估计值与健康指标之间关系的观察性研究。研究人员提取了报告实践,并将其分为七个方面:(1) 方法论依据;(2) 行为测量和数据处理策略;(3) 构成构建;(4) 分析计划;(5) 构成特定描述性统计;(6) 模型结果;(7) 辅助信息。研究质量和偏倚风险由美国国立卫生研究院的观察性队列和横断面研究质量评估工具进行评估:102 项研究符合我们的纳入标准。不同领域的报告方法差异很大,大多数研究在方法学论证方面达到了较高的标准,但在所有其他领域的报告不一致。有些项目在所有研究中都有报告(例如,每天的组成分为几个部分),而其他项目则很少报告(例如,一天的定义:午夜到午夜与醒来到醒来)。大多数研究(85%)的研究质量和偏倚风险尚可:结论:目前的研究普遍存在报告方法不一致的问题。由于时间使用流行病学领域旨在准确捕捉和分析与健康结果相关的运动行为数据、促进不同研究间的比较以及为公共卫生干预和政策决策提供信息,因此显然需要一致、清晰和详细的报告方法。就报告建议达成共识是下一步的关键:在线版本包含补充材料,可查阅 10.1186/s44167-024-00062-8。
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引用次数: 0
24-hour movement behavior adherence and associations with health outcomes: an umbrella review. 坚持 24 小时运动行为及其与健康结果的关系:综述。
Pub Date : 2024-01-01 Epub Date: 2024-10-11 DOI: 10.1186/s44167-024-00064-6
Chelsea L Kracht, Sarah Burkart, Claire I Groves, Guilherme Moraes Balbim, Christopher D Pfledderer, Carah D Porter, Christine W St Laurent, Emily K Johnson, Denver M Y Brown

Background: Physical activity, sedentary behavior, and sleep, collectively known as the 24-hour movement behaviors, demonstrate individual and joint benefits on physical and mental health. Examination of these behaviors has expanded beyond guideline adherence to reviews of isotemporal substitution models (ISM) and compositional data analysis (CoDA). This umbrella review sought to review existing systematic reviews to (1) characterize the breadth and scope, (2) examine prevalence estimates for 24-hour movement guideline adherence, and (3) examine the relationship between these behaviors with health outcomes based on various approaches.

Methods: Eight databases and multiple supplementary strategies were used to identify systematic reviews, meta-analyses and pooled analyses that included two or more of the three 24-hour movement behaviors and a multi-behavior assessment approach. Overall review characteristics, movement behavior definitions, approaches, and health outcomes assessed were extracted, and methodological quality was assessed using the AMSTAR2 tool. Review characteristics (Aim 1), guideline prevalence estimates (Aim 2), and associations with health outcomes (Aim 3) were examined.

Findings: Thirty-two reviews (20 systematic reviews, 10 meta-analyses, and 2 pooled analyses) were included. Reviews captured the entire lifespan, global regions, and several physical and mental health outcomes. Individual and total guideline adherence waned from preschool to adolescence, but reviews reported similar prevalence estimates and ranges (i.e., within 10%). Common approaches included ISM and CoDA, evaluating 24-hour movement behavior's interactive associations with health outcomes, guideline adherence, and profile-based analysis. Despite heterogeneous approaches, reviews found consistent evidence for beneficial associations between meeting all three guidelines and high amount of physical activity on physical and mental health outcomes, but varied assessment of sedentary behavior or sleep. Most reviews were rated as low or critically low quality.

Conclusions: The breadth and scope of current reviews on 24-hour movement behaviors was wide and varied in this umbrella review, including all ages and across the globe. Prevalence estimates among populations beyond children need to be synthesized. Amongst the variety of definitions and approaches, reviews found benefit from achieving healthy amounts of all three behaviors. Longitudinal multi-behavior original research studies with rigorous assessment of sleep and sedentary behavior may help improve future systematic reviews of these various approaches.

Supplementary information: The online version contains supplementary material available at 10.1186/s44167-024-00064-6.

背景:体育锻炼、久坐不动和睡眠统称为 24 小时运动行为,它们对个人和集体的身心健康都有益处。对这些行为的研究已从遵守指南扩展到对等时替代模型(ISM)和成分数据分析(CoDA)的综述。本综述旨在审查现有的系统性综述,以(1)确定其广度和范围,(2)检查 24 小时运动指南遵守情况的流行率估计值,以及(3)根据各种方法检查这些行为与健康结果之间的关系:方法:利用八个数据库和多种补充策略来确定包含两种或两种以上三种 24 小时运动行为和多种行为评估方法的系统综述、荟萃分析和汇总分析。提取了综述的总体特征、运动行为定义、方法和评估的健康结果,并使用 AMSTAR2 工具评估了方法学质量。对综述特征(目标 1)、指南流行率估计(目标 2)以及与健康结果的关联(目标 3)进行了研究:共纳入 32 篇综述(20 篇系统综述、10 篇荟萃分析和 2 篇汇总分析)。综述涵盖了整个生命周期、全球各地区以及若干身心健康结果。从学龄前到青春期,个人和总体的指南遵守率都有所下降,但综述报告的流行率估计值和范围(即在 10%以内)相似。常见的方法包括 ISM 和 CoDA、评估 24 小时运动行为与健康结果的交互关联、指南遵守情况以及基于特征的分析。尽管方法不尽相同,但综述发现,符合所有三项指南和大量体育锻炼对身体和心理健康结果有益的证据是一致的,但对久坐行为或睡眠的评估各不相同。大多数综述被评为低质量或极低质量:在这一总括性综述中,目前关于 24 小时运动行为的综述范围广泛且各不相同,包括所有年龄段和全球各地。需要对儿童以外人群的流行率进行综合评估。在各种不同的定义和方法中,综述发现,实现所有三种行为的健康数量会带来益处。对睡眠和久坐行为进行严格评估的纵向多行为原创性研究可能有助于改进未来对这些不同方法的系统性综述:在线版本包含补充材料,可查阅 10.1186/s44167-024-00064-6。
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引用次数: 0
Joint associations of leisure-time physical activity and sitting time with emotional wellbeing, physical functioning and work ability: an occupational study among young and early midlife Finnish municipal employees 闲暇时间体育活动和久坐时间与情绪健康、身体机能和工作能力的共同关系:对芬兰年轻和中年早期市政雇员的职业研究
Pub Date : 2023-12-01 DOI: 10.1186/s44167-023-00034-4
J. Lahti, J. Salmela, A. Kouvonen, O. Rahkonen, T. Lallukka
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引用次数: 0
Working at the office or from home during the COVID-19 pandemic: a cross-sectional study of temporal patterns of sitting and non-sitting among normal-weight and overweight Brazilian office workers COVID-19 流行期间在办公室或在家工作:对巴西体重正常和超重的办公室工作人员坐着和不坐着的时间模式进行的横断面研究
Pub Date : 2023-12-01 DOI: 10.1186/s44167-023-00038-0
L. A. Brusaca, David M. Hallman, L. Januario, Nidhi Gupta, Ana Beatriz Oliveira, S. Mathiassen
{"title":"Working at the office or from home during the COVID-19 pandemic: a cross-sectional study of temporal patterns of sitting and non-sitting among normal-weight and overweight Brazilian office workers","authors":"L. A. Brusaca, David M. Hallman, L. Januario, Nidhi Gupta, Ana Beatriz Oliveira, S. Mathiassen","doi":"10.1186/s44167-023-00038-0","DOIUrl":"https://doi.org/10.1186/s44167-023-00038-0","url":null,"abstract":"","PeriodicalId":73581,"journal":{"name":"Journal of activity, sedentary and sleep behaviors","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138615047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Journal of activity, sedentary and sleep behaviors
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