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智能手表步数计数:对每日步数估计准确性的影响。

Smartwatch step counting: impact on daily step-count estimation accuracy.

作者信息

Düking Peter, Strahler Jana, Forster André, Wallmann-Sperlich Birgit, Sperlich Billy

机构信息

Department of Sports Science and Movement Pedagogy, Technische Universität Braunschweig, Braunschweig, Germany.

Sport Psychology, Deparment of Sport and Sport Science, University of Freiburg, Freiburg im Breisgau, Germany.

出版信息

Front Digit Health. 2024 Aug 8;6:1400369. doi: 10.3389/fdgth.2024.1400369. eCollection 2024.

Abstract

INTRODUCTION

The effect of displayed step count in smartwatches on the accuracy of daily step-count estimation and the potential underlying psychological factors have not been revealed. The study aimed for the following: (i) To investigate whether the counting and reporting of daily steps by a smartwatch increases the daily step-count estimation accuracy and (ii) to elucidating underlying psychological factors.

METHODS

A total of 34 healthy men and women participants wore smartwatches for 4 weeks. In week 1 (baseline), 3 (follow-up 1), and 8 (follow-up 2), the number of smartwatch displayed steps was blinded for each participant. In week 2 (Intervention), the number of steps was not blinded. During baseline and follow-ups 1 and 2, the participants were instructed to estimate their number of steps four times per day. During the 4-week wash-out period between follow-ups 1 and 2, no feedback was provided. The Body Awareness Questionnaire and the Body Responsiveness Questionnaire (BRQ) were used to elucidate the psychological facets of the assumed estimation accuracy.

RESULTS

The mean absolute percentage error between the participants' steps count estimations and measured steps counts were 29.49% (at baseline), 0.54% (intervention), 11.89% (follow-up 1), and 15.14% (follow-up 2), respectively. There was a significant effect between baseline and follow-up 1 [ (61.7) = 3.433, < 0.001] but not between follow-up 1 and follow-up 2 [ (60.3) = -0.288,  = 0.774]. Only the BRQ subscale "Suppression of Bodily Sensations" appeared to be significant at the Baseline ( = 0.012; Bonferroni adjusted  = 0.048) as a factor influencing step-count estimation accuracy.

CONCLUSION

The counting and reporting of daily steps with a smartwatch allows improving the subjective estimation accuracy of daily step counts, with a stabilizing effect for at least 6 weeks. Especially individuals who tend to suppress their bodily sensations are less accurate in their daily step-count estimation before the intervention.

摘要

引言

智能手表显示的步数对每日步数估计准确性的影响以及潜在的心理因素尚未明确。本研究旨在:(i)调查智能手表对每日步数的计数和报告是否能提高每日步数估计的准确性;(ii)阐明潜在的心理因素。

方法

共有34名健康男性和女性参与者佩戴智能手表4周。在第1周(基线期)、第3周(随访1)和第8周(随访2),对每位参与者隐藏智能手表显示的步数。在第2周(干预期),不隐藏步数。在基线期以及随访1和随访2期间,参与者被要求每天估计四次自己的步数。在随访1和随访2之间的4周洗脱期内,不提供反馈。使用身体意识问卷和身体反应问卷(BRQ)来阐明假定的估计准确性的心理方面。

结果

参与者步数估计值与测量步数之间的平均绝对百分比误差分别为:基线期29.49%、干预期0.54%、随访1期11.89%、随访2期15.14%。基线期和随访1期之间存在显著差异[F(61.7)=3.433,P<0.001],但随访1期和随访2期之间无显著差异[F(60.3)= -0.288,P = 0.774]。只有BRQ分量表“身体感觉抑制”在基线期作为影响步数估计准确性的因素具有显著性(P = 0.012;Bonferroni校正后P = 0.048)。

结论

使用智能手表计数和报告每日步数可提高每日步数主观估计的准确性,且至少在6周内具有稳定作用。特别是那些倾向于抑制身体感觉的个体,在干预前的每日步数估计中准确性较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f76/11339027/1015435b8456/fdgth-06-1400369-g001.jpg

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