Bianchim Mayara S, McNarry Melitta A, Larun Lillebeth, Barker Alan R, Williams Craig A, Mackintosh Kelly A
School of Sport and Exercise Sciences, Swansea University, Bay Campus, Swansea, Wales, UK.
Norwegian Institute of Public Health, Division of Health Services, PO Box 222 Skøyen, N-0213 Oslo, Norway.
Prev Med Rep. 2020 Jun 8;19:101142. doi: 10.1016/j.pmedr.2020.101142. eCollection 2020 Sep.
Regular physical activity is associated with physiological and psychosocial benefits in both healthy and clinical populations. However, little is known about tailoring the analysis of physical activity using accelerometers to the specific characteristics of chronic conditions. Whilst accelerometry is broadly used to assess physical activity, recommendations on calibration in paediatric clinical groups are warranted. The aim of this systematic review was to provide a critical overview of protocols used to calibrate accelerometry in children and adolescents with clinical conditions, as well as to develop recommendations for calibration and validation of accelerometry in such populations. The search was performed between March to July 2017 using text words and subject headings in six databases. Studies had to develop moderate-to-vigorous intensity physical activity (MVPA) cut-points for paediatric clinical populations to be included. Risk of bias was assessed using a specific checklist. A total of 540,630 titles were identified, with 323 full-text articles assessed. Five studies involving 347 participants aged 9 to 15 years were included. Twenty-four MVPA cut-points were reported across seven clinical conditions, 16 of which were developed for different models of ActiGraph, seven for Actical and one for Tritrac-R3D. Statistical approaches included mixed regression, machine learning and receiver operating characteristic analyses. Disease-specific MVPA cut-points ranged from 152 to 735 counts·15 s, with lower cut-points found for inherited muscle disease and higher cut-points associated with intellectual disabilities. The lower MVPA cut-points for diseases characterised by both ambulatory and metabolic impairments likely reflect the higher energetic demands associated with those conditions.
规律的体育活动对健康人群和临床人群都具有生理和心理社会效益。然而，对于根据慢性病的具体特征来调整使用加速度计对体育活动进行的分析，我们知之甚少。虽然加速度计被广泛用于评估体育活动，但在儿科临床群体中进行校准的建议是有必要的。本系统评价的目的是对用于校准患有临床疾病的儿童和青少年加速度计的方案进行批判性综述，并为这类人群中加速度计的校准和验证制定建议。检索于2017年3月至7月进行，使用六个数据库中的文本词和主题词。纳入的研究必须为儿科临床群体制定中等到剧烈强度身体活动（MVPA）切点。使用特定清单评估偏倚风险。共识别出540,630个标题，评估了323篇全文文章。纳入了五项涉及347名9至15岁参与者的研究。报告了七种临床疾病的24个MVPA切点，其中16个是针对不同型号的ActiGraph开发的，7个是针对Actical开发的，1个是针对Tritrac-R3D开发的。统计方法包括混合回归、机器学习和受试者工作特征分析。疾病特异性MVPA切点范围为152至735计数·15秒，遗传性肌肉疾病的切点较低，智力残疾相关的切点较高。以行走和代谢障碍为特征的疾病的较低MVPA切点可能反映了与这些疾病相关的更高能量需求。
