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Journal of activity, sedentary and sleep behaviors最新文献

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Physical activity, sedentary behaviour, and sleep knowledge and self-efficacy among parents of young children in Canada 加拿大幼儿父母的体育活动、久坐行为和睡眠知识及自我效能
Pub Date : 2024-05-17 DOI: 10.1186/s44167-024-00051-x
Brianne A. Bruijns, Matthew Bourke, Kendall Saravanamuttoo, Patricia Tucker
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引用次数: 0
Physical activity moderates the association between school start time and sleep duration in a cross-sectional national sample of adolescents 在全国青少年横断面样本中,体育活动可调节上学时间与睡眠时间之间的关系
Pub Date : 2024-05-06 DOI: 10.1186/s44167-024-00050-y
Zachary S. Farley, Mandilyn Ward, Nicole R. Giuliani, Elizabeth L. Budd
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引用次数: 0
Twenty-four hour physical activity, sedentary behaviour and sleep profiles in adults living with rheumatoid arthritis: a cross-sectional latent class analysis 类风湿性关节炎成年患者的二十四小时体力活动、久坐行为和睡眠概况:横截面潜类分析
Pub Date : 2024-04-17 DOI: 10.1186/s44167-024-00049-5
L. Feehan, Hui Xie, Na Lu, Linda C. Li
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引用次数: 0
Associations between 24-h movement behaviors and indicators of mental health and well-being across the lifespan: a systematic review 24 小时运动行为与整个生命周期的心理健康和幸福指标之间的关系:系统性综述
Pub Date : 2024-03-14 DOI: 10.1186/s44167-024-00048-6
Claire I. Groves, Christopher Huong, Carah D. Porter, Bryce Summerville, Isabella Swafford, Braden Witham, Matt Hayward, Matthew Y. W. Kwan, Denver M. Y. Brown
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引用次数: 0
Impacts of physical activity, sedentary behaviour, and sleep on depression symptoms in Canadian older adults 65 years of age and above: a compositional data analysis of the Canadian Longitudinal Study on Aging. 体育活动、久坐行为和睡眠对65岁及以上加拿大老年人抑郁症状的影响:加拿大老龄化纵向研究的组成数据分析
Pub Date : 2024-03-08 DOI: 10.1186/s44167-024-00047-7
Shawn Hakimi, Luc J Martin, Mark W Rosenberg

Background: Daily time spent in moderate-to-vigorous physical activity (MVPA), light-intensity physical activity (LIPA), sedentary behaviour (SB) and sleep (collectively known as 'movement behaviours') are compositional, co-dependent variables. However, most studies examining effects of these behaviours on depression outcomes in older adults do not account for this. Study objectives were to use compositional data analysis methods to (1) examine the relationship between movement behaviour composition (daily time spent in MVPA, LIPA, SB, sleep) and depression symptoms, (2) estimate the extent to which changing time spent in any given movement behaviour within the movement behaviour composition was associated with changes in depression symptoms.

Methods: 5643 older Canadian adults ≥ 65 years of age from the Canadian Longitudinal Study on Aging were studied using a quasi-longitudinal study design. Exposure was baseline daily movement behaviours; time spent in MVPA, LIPA and SB were derived from self-reported Physical Activity Scale for the Elderly responses. Night-time sleep was self-reported separately. Outcome was depression symptoms at follow-up obtained using the ten item Center for Epidemiologic Studies Depression Scale. Compositional data analysis was used to investigate associations between movement behaviours and depression symptoms.

Results: Movement behaviour composition was significantly associated with depression symptoms. Time spent in MVPA [exp(B) = 0.97 (95% CI: 0.94, 0.99)] and sleep [exp(B) = 0.91 (95% CI: 0.85, 0.97)] relative to the remaining movement behaviours were associated with lower depression symptoms scores. Relative time spent in SB was associated with higher depression symptoms scores [exp(B) = 1.09 (95% CI: 1.04, 1.15)]. Time displacement estimates revealed that the greatest change in depression symptoms scores occurred when time spent in MVPA was decreased and replaced with LIPA, SB, sleep or combination of these behaviours (+ 0.22 to 0.26 points increase on depression symptoms scores for 30 min/day displacements).

Conclusions: Daily movement behaviour composition was associated with depression symptoms in older Canadians. Replacing time in MVPA with equivalent time from any other behaviour was associated with increased depression symptoms. Preserving time spent in MVPA may play a key role in mitigating and improving mental health in this demographic.

背景:每天花在中高强度身体活动(MVPA)、轻强度身体活动(LIPA)、久坐行为(SB)和睡眠(统称为“运动行为”)上的时间是组成的、相互依赖的变量。然而,大多数调查这些行为对老年人抑郁结果影响的研究都没有考虑到这一点。研究目的是使用构成数据分析方法来(1)检验运动行为构成(每天在MVPA、LIPA、SB和睡眠中花费的时间)与抑郁症状之间的关系,(2)估计运动行为构成中任何特定运动行为的改变时间与抑郁症状变化的关联程度。方法:采用准纵向研究设计,对来自加拿大老龄化纵向研究的5643名年龄≥65岁的加拿大老年人进行研究。暴露为基线日常运动行为;MVPA、LIPA和SB的时间来自老年人自报体力活动量表。夜间睡眠是单独自我报告的。结果是随访时使用流行病学研究中心抑郁量表获得的抑郁症状。使用成分数据分析来调查运动行为与抑郁症状之间的关联。结果:运动行为构成与抑郁症状显著相关。相对于其他运动行为,MVPA [exp(B) = 0.97 (95% CI: 0.94, 0.99)]和睡眠[exp(B) = 0.91 (95% CI: 0.85, 0.97)]所花费的时间与较低的抑郁症状评分相关。在SB中度过的相对时间与较高的抑郁症状评分相关[exp(B) = 1.09 (95% CI: 1.04, 1.15)]。时间位移估计显示,当减少MVPA的时间,代之以LIPA、SB、睡眠或这些行为的组合时,抑郁症状评分的最大变化发生(30分钟/天的位移,抑郁症状评分增加0.22至0.26分)。结论:加拿大老年人的日常运动行为构成与抑郁症状有关。用其他行为的同等时间代替MVPA的时间与抑郁症状增加有关。保留在MVPA中度过的时间可能在缓解和改善这一人群的心理健康方面发挥关键作用。
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引用次数: 0
Increase in physical activity is associated with an increase in sleep efficiency, but not with improvement in symptoms of PTSD: analysis of longitudinal data in trauma-affected refugees 增加体育活动与提高睡眠效率有关,但与创伤后应激障碍症状的改善无关:受创伤影响难民的纵向数据分析
Pub Date : 2024-02-15 DOI: 10.1186/s44167-024-00046-8
Hinuga Sandahl, Mette Korshøj, O. S. Mortensen, Jessica Carlsson
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引用次数: 0
Increase in physical activity is associated with an increase in sleep efficiency, but not with improvement in symptoms of PTSD: analysis of longitudinal data in trauma-affected refugees 增加体育活动与提高睡眠效率有关,但与创伤后应激障碍症状的改善无关:受创伤影响难民的纵向数据分析
Pub Date : 2024-02-15 DOI: 10.1186/s44167-024-00046-8
Hinuga Sandahl, Mette Korshøj, O. S. Mortensen, Jessica Carlsson
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引用次数: 0
Prevalence and predictors of insomnia and its treatment-seeking among older adults in India. 印度老年人失眠的患病率和预测因素及其治疗寻求。
Pub Date : 2024-02-01 DOI: 10.1186/s44167-024-00044-w
Manas Ranjan Pradhan, Daisy Saikia

Background: Insomnia is a serious health problem among older adults and, if untreated, is linked to a high morbidity rate and decreased quality of life. There is limited empirical evidence on Insomnia and its treatment-seeking exclusively among older adults (60 plus years) using representative data in India. This study assesses the prevalence and predictors of Insomnia and its treatment-seeking among older adults.

Methods: Data gathered through the nationally-representative Longitudinal Ageing Study in India (LASI); Wave 1 (2017-18) was used for the analysis. Specifically, information from older adults aged 60 and above for whom complete information on insomnia was available (n- 31,464) was considered for the analysis. Binary logistic regression was used to check the adjusted effects of insomnia's socio-demographic and economic predictors and its treatment-seeking status. Stata was used for the data analysis with a 5% significance level.

Results: 37% of older adults had insomnia. Increasing age, female gender, living without a spouse, illiteracy, chronic health conditions, nutritionally underweight, physically inactive status, lack of exposure to mass media, Hindu religion, non-tribal status, and rural residence were significantly associated with insomnia. 3% of older adults sought treatment for insomnia. Not seeking treatment for insomnia was associated with male gender, exposure to mass media, physical activity, lack of chronic health issues, tribal status, living in a rural area, and being economically disadvantaged.

Conclusions: A sizable number of older adults have insomnia, and the prevalence varies by their socioeconomic, demographic, and health status. Many modifiable risk factors like low education, chronic health conditions, smoking, being underweight, physical inactivity, and lack of exposure to mass media are identified. Treatment-seeking for Insomnia is further inadequate, enhancing the older adult's vulnerability to various morbidities. Policy and program intervention to raise awareness about insomnia, including early identification and pharmacological and non-pharmacological treatment, will ensure better health and welfare of older adults. Estimations are based on self-report questionnaires; therefore, the possibility of recall bias and under-reporting cannot be ignored. Moreover, the estimation of insomnia may vary depending on various clinical definitions. However, a large sample size from a recent nationally representative survey with a robust sampling design is the strength of this study.

背景:失眠是老年人中一个严重的健康问题,如果不及时治疗,会导致高发病率和生活质量下降。利用印度的代表性数据,关于失眠症及其仅在老年人(60岁以上)中寻求治疗的经验证据有限。本研究评估了老年人失眠症的患病率和预测因素及其治疗寻求。方法:通过具有全国代表性的印度纵向老龄化研究(LASI)收集数据;波浪1(2017-18)用于分析。具体来说,分析考虑了60岁及以上老年人的信息,他们有完整的失眠信息(n- 31,464)。采用二元logistic回归检验失眠症的社会人口学和经济预测因素及其求诊状况的调整效应。数据分析采用Stata,显著性水平为5%。结果:37%的老年人患有失眠症。年龄增长、女性、无配偶、文盲、慢性健康状况、营养不足、身体不活跃、缺乏接触大众媒体、印度教、非部落身份和农村居住与失眠有显著关联。3%的老年人寻求失眠治疗。不寻求失眠症治疗与男性、接触大众媒体、体育活动、没有慢性健康问题、部落身份、生活在农村地区以及经济上处于不利地位有关。结论:相当数量的老年人患有失眠症,其患病率因其社会经济、人口统计学和健康状况而异。确定了许多可改变的风险因素,如教育程度低、慢性健康状况、吸烟、体重过轻、缺乏体育活动和缺乏接触大众媒体。对失眠的寻求治疗进一步不足,增加了老年人对各种疾病的脆弱性。提高人们对失眠的认识的政策和项目干预,包括早期识别和药物和非药物治疗,将确保老年人更好的健康和福利。估计是基于自我报告的问卷;因此,回忆偏倚和少报的可能性不容忽视。此外,失眠症的估计可能因不同的临床定义而有所不同。然而,来自最近一项具有全国代表性的调查的大样本量和稳健的抽样设计是本研究的优势。
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引用次数: 0
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
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Journal of activity, sedentary and sleep behaviors
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