L. H. Larsen, M. H. Lauritzen, Mikkel Sinkjaer, T. Kjaer
{"title":"The Effect of Wearable Tracking Devices on Cardiorespiratory Fitness Among Inactive Adults: Crossover Study","authors":"L. H. Larsen, M. H. Lauritzen, Mikkel Sinkjaer, T. Kjaer","doi":"10.2196/31501","DOIUrl":null,"url":null,"abstract":"Background Modern lifestyle is associated with a high prevalence of physical inactivity. Objective This study aims to investigate the effect of a wearable tracking device on cardiorespiratory fitness among inactive adults and to explore if personal characteristics and health outcomes can predict adoption of the device. Methods In total, 62 inactive adults were recruited for this study. A control period (4 weeks) was followed by an intervention period (8 weeks) where participants were instructed to register and follow their physical activity (PA) behavior on a wrist-worn tracking device. Data collected included estimated cardiorespiratory fitness, body composition, blood pressure, perceived stress levels, and self-reported adoption of using the tracking device. Results In total, 50 participants completed the study (mean age 48, SD 13 years, 84% women). Relative to the control period, participants increased cardiorespiratory fitness by 1.52 mL/kg/minute (95% CI 0.82-2.22; P<.001), self-reported PA by 140 minutes per week (95% CI 93.3-187.1; P<.001), daily step count by 982 (95% CI 492-1471; P<.001), and participants’ fat percentage decreased by 0.48% (95% CI –0.84 to –0.13; P=.009). No difference was observed in blood pressure (systolic: 95% CI –2.16 to 3.57, P=.63; diastolic: 95% CI –0.70 to 2.55; P=.27) or perceived stress (95% CI –0.86 to 1.78; P=.49). No associations were found between adoption of the wearable tracking device and age, gender, personality, or education. However, participants with a low perceived stress at baseline were more likely to rate the use of a wearable tracking device highly motivating. Conclusions Tracking health behavior using a wearable tracking device increases PA resulting in an improved cardiorespiratory fitness among inactive adults.","PeriodicalId":14706,"journal":{"name":"JMIR Cardio","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Cardio","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/31501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background Modern lifestyle is associated with a high prevalence of physical inactivity. Objective This study aims to investigate the effect of a wearable tracking device on cardiorespiratory fitness among inactive adults and to explore if personal characteristics and health outcomes can predict adoption of the device. Methods In total, 62 inactive adults were recruited for this study. A control period (4 weeks) was followed by an intervention period (8 weeks) where participants were instructed to register and follow their physical activity (PA) behavior on a wrist-worn tracking device. Data collected included estimated cardiorespiratory fitness, body composition, blood pressure, perceived stress levels, and self-reported adoption of using the tracking device. Results In total, 50 participants completed the study (mean age 48, SD 13 years, 84% women). Relative to the control period, participants increased cardiorespiratory fitness by 1.52 mL/kg/minute (95% CI 0.82-2.22; P<.001), self-reported PA by 140 minutes per week (95% CI 93.3-187.1; P<.001), daily step count by 982 (95% CI 492-1471; P<.001), and participants’ fat percentage decreased by 0.48% (95% CI –0.84 to –0.13; P=.009). No difference was observed in blood pressure (systolic: 95% CI –2.16 to 3.57, P=.63; diastolic: 95% CI –0.70 to 2.55; P=.27) or perceived stress (95% CI –0.86 to 1.78; P=.49). No associations were found between adoption of the wearable tracking device and age, gender, personality, or education. However, participants with a low perceived stress at baseline were more likely to rate the use of a wearable tracking device highly motivating. Conclusions Tracking health behavior using a wearable tracking device increases PA resulting in an improved cardiorespiratory fitness among inactive adults.
现代生活方式与普遍缺乏身体活动有关。目的本研究旨在探讨穿戴式跟踪设备对不运动成人心肺健康的影响,并探讨个人特征和健康结果是否可以预测该设备的采用。方法本研究共招募了62名不运动的成年人。对照期(4周)之后是干预期(8周),参与者被指示在腕带跟踪设备上注册并跟踪他们的身体活动(PA)行为。收集的数据包括估计的心肺健康、身体成分、血压、感知压力水平和使用跟踪设备的自我报告。结果总共有50名参与者完成了研究(平均年龄48岁,SD 13岁,84%为女性)。与对照期相比,参与者的心肺适能增加了1.52 mL/kg/分钟(95% CI 0.82-2.22;P< 0.001),自我报告的PA每周减少140分钟(95% CI 93.3-187.1;P< 0.001),每日步数减少982步(95% CI 492-1471;P< 0.001),参与者的脂肪百分比下降了0.48% (95% CI -0.84 ~ -0.13;P = .009)。血压无差异(收缩压:95% CI -2.16 ~ 3.57, P= 0.63;舒张期:95% CI -0.70 ~ 2.55;P= 0.27)或感知压力(95% CI -0.86至1.78;P = 49)。可穿戴跟踪设备的采用与年龄、性别、性格或教育程度没有关联。然而,基线压力较低的参与者更有可能认为使用可穿戴跟踪设备具有很高的激励作用。结论:使用可穿戴跟踪设备跟踪健康行为可增加PA,从而改善不运动成年人的心肺健康。