Prospective running assessments among division I cross-country athletes

ObjectivesTo prospectively monitor biomechanics, session-rating of perceived exertion (sRPE), and wellness in a cohort of collegiate Division-1 cross-country athletes over the course of a single competitive season.DesignProspective cohort study.MethodsHealthy Division-1 cross-country athletes (9 males, 13 females) were prospectively followed over a single competitive cross-country season. Wearable sensors were used to collect biomechanics twice per week, along with surveys to assess sRPE and wellness. Mixed model linear regressions were used to assess the relationship among biomechanical measures to sRPE, and to wellness z-scores.ResultsStride length, contact time, impact g, pace, weekly mileage, and running a meet in the day prior to the recorded run explained 25.4% of the variance in sRPE scores across the season (R² = 0.254, p < 0.001). Contact time and braking g helped explain 3.7% of the variance in wellness (R² = 0.037, F = 5.70, p = 0.01).ConclusionsThere were several identified associations between gait biomechanics and sRPE, yet minimal associations with wellness measures. These findings suggest there are movement adaptations associated with perceived running intensity, however biomechanical measures alone do not lend additional insight into wellness measures.     

The effectiveness of a wearable activity tracker (WAT)-based intervention to improve physical activity levels in sedentary older adults: A systematic review and meta-analysis

BackgroundThe evidence shows that WAT-based interventions enhance the physical activity (PA) levels of young people by sustainably delivering behavior change techniques (BCTs). These results may not be replicable among older adults. This paper aims to evaluate the effectiveness of WAT-based interventions in improving PA levels in sedentary older adults.MethodsEight electronic databases were searched for randomized controlled trials published January 2008 to December 2018. BCTs delivered by WAT aimed at increasing PA levels using step counts or time spent on moderate-to-vigorous (MVPA) exercise as an outcome were eligible for inclusion.ResultsIn nine out of the ten included studies, higher PA levels were seen in the intervention group than in the control group. One study where the participants’ mean age was 80+ showed no significant increase in PA levels. Significant effects were also demonstrated from the meta-analysis, which included four studies using a passive control (i.e., the usual care or health information) on step counts (n = 207, Hedges g = 1.27, 95 % CI = 0.51–2.04, p = 0.001) and two studies on MVPA (n = 83, Hedge’s g = 1.23, 95 % CI = 0.75–1.70, p < 0.001). A non-significant effect was found on step counts (n = 201, Hedge’s g = 0.22, 95 % CI = −0.62 to 1.06, p = 0.61) in three studies that used an active control comparison group (i.e., traditional pedometer).ConclusionsA WAT-based intervention is effective at improving PA levels among older adults over the short term when compared with the usual care or health information. However, when compared with a traditional pedometer or when used among old-old adults, the results were inconclusive.     

Wearable devices and smartphones for activity tracking among people with serious mental illness

IntroductionPeople with serious mental illness, including schizophrenia spectrum and mood disorders, are more physically inactive than people from the general population. Emerging wearable devices and smartphone applications afford opportunities for promoting physical activity in this group. This exploratory mixed methods study obtained feedback from participants with serious mental illness to assess the acceptability of using wearable devices and smartphones to support a lifestyle intervention targeting weight loss.MethodsParticipants with serious mental illness and obesity enrolled in a 6-month lifestyle intervention were given Fitbit activity tracking devices and smartphones to use for the study. Participants completed quantitative post-intervention usability and satisfaction surveys, and provided qualitative feedback regarding acceptability of using these devices and recommendations for improvement through in-depth interviews.ResultsEleven participants wore Fitbits for an average of 84.7% (SD = 18.1%) of the days enrolled in the study (median = 93.8% of the days enrolled, interquartile range = 83.6–94.3%). Participants were highly satisfied, stating that the devices encouraged them to be more physically active and were useful for self-monitoring physical activity and reaching daily step goals. Some participants experienced challenges using the companion mobile application on the smartphone, and recommended greater technical support, more detailed training, and group tutorials prior to using the devices.DiscussionParticipants' perspectives highlight the feasibility and acceptability of using commercially available mHealth technologies to support health promotion efforts targeting people with serious mental illness. This study offers valuable insights for informing future research to assess the effectiveness of these devices for improving health outcomes in this high-risk group.     

Causes and clinical consequences of inappropriate shocks experienced by patients wearing a cardioverter-defibrillator

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近十年我国可穿戴设备在健康管理领域的研究现状及发展趋势

背景 随着可穿戴技术的日益成熟，可穿戴设备在健康监测、评估和干预中的应用价值逐步体现，并将助力于健康管理领域的创新发展。目的 分析近10年我国可穿戴设备在健康管理领域的研究热点、前沿和趋势。方法 检索并分析中国知网数据库中2011—2021年主题为“可穿戴”的期刊文献，通过Excel表格分析纳入文献的时序和空间分布，通过CiteSpace软件对文献关键词进行可视化分析。结果 2011—2021年，我国可穿戴设备在健康管理领域的发文量总体呈上升趋势（共519篇），于2021年达到最高（85篇）。纳入文献涉及生物医学、信息科学、计算机硬件和软件技术等多门学科，发表于医学信息学杂志、中国数字医学、智慧健康等多种期刊。发文量排名前3的研究者包括中国人民解放军总医院的张政波教授、上海中医药大学的罗晓兰副教授、中国医学科学院医学信息研究所的何晓琳研究员，发文量排名前3的科研机构分别是华中科技大学（14篇），上海交通大学（10篇）和东南大学（10篇）。反映研究热点的关键词包括“移动医疗”“健康管理”“智慧医疗”等，反映研究前沿的关键词包括“老年人”“糖尿病”和“心律失常”等，反映研究趋势的关键词包括...     

可穿戴设备支持心房颤动人群筛查与管理研究进展

心房颤动(简称房颤)是当代心血管领域亟须攻克的两大“堡垒”之一，而传统的房颤筛查存在“检测时未发病、发病时未检测”的局限，导致房颤管理存在检测率低、规范管理率低等不足。可穿戴设备为房颤早期发现和科学管理创造了技术条件，其在房颤筛查中的可行性、高灵敏度和特异度逐步得到验证。本文基于国内外相关文献，对可穿戴设备在房颤人群筛查与管理中的流行特征、应用现状、局限及前景等进行综述，以期为可穿戴设备用于房颤的筛查与管理提供理论依据。