L Verlaan, S A A N Bolink, S N Van Laarhoven, M Lipperts, I C Heyligers, B Grimm, R Senden
{"title":"膝关节骨性关节炎患者基于加速度计的身体活动监测:日常生活环境中实际身体活动的客观和动态评估。","authors":"L Verlaan, S A A N Bolink, S N Van Laarhoven, M Lipperts, I C Heyligers, B Grimm, R Senden","doi":"10.2174/1874120701509010157","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>It is important to assess physical activity objectively during daily life circumstances, to understand the association between physical activity and diseases and to determine the effectiveness of interventions. Accelerometer-based physical activity monitoring seems a promising method and could potentially capture all four FITT (i.e. Frequency, Intensity, Time, Type) components of physical activity considered by the World Health Organization (WHO).</p><p><strong>Aim: </strong>To assess the four FITT components of physical activity with an accelerometer during daily life circumstances and compare with self-reported levels of physical activity in patients with knee osteoarthritis (OA) and a healthy control group.</p><p><strong>Methods: </strong>Patients (n=30) with end-stage knee OA and age-matched healthy subjects (n=30) were measured. An ambulant tri-axial accelerometer was placed onto the lateral side of the upper leg. Physical activity was measured during four consecutive days. Using algorithm-based peak detection methods in Matlab, parameters covering the four FITT components were assessed. Self-reported physical activity was assessed using the Short questionnaire to assess health enhancing physical activity (SQUASH).</p><p><strong>Results: </strong>Knee OA patients demonstrated fewer walking bouts (154 ±79 versus 215 ±65 resp.; p=0.002), step counts (4402 ±2960 steps/day versus 6943 ±2581 steps/day; p=0.001) and sit-to-stand (STS) transfers (37 ±14 versus 44 ±12; p=0.031) compared to controls. Knee OA patients demonstrated more time sitting (65 ±15% versus 57 ±10% resp.; p=0.029), less time walking (8 ±4% versus 11 ±4% resp.; p=0.014) and lower walking cadence (87 ±11steps/min versus 99 ± 8steps/min resp.; p<0.001). Accelerometer-based parameters of physical activity were moderately-strong (Pearsons's r= 0.28-0.49) correlated to self-reported SQUASH scores.</p><p><strong>Conclusion: </strong>A single ambulant accelerometer-based physical activity monitor feasibly captures the four FITT components of physical activity and provides more insight into the actual physical activity behavior and limitations of knee OA patients in their daily life.</p>","PeriodicalId":39121,"journal":{"name":"Open Biomedical Engineering Journal","volume":"9 ","pages":"157-63"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2174/1874120701509010157","citationCount":"44","resultStr":"{\"title\":\"Accelerometer-based Physical Activity Monitoring in Patients with Knee Osteoarthritis: Objective and Ambulatory Assessment of Actual Physical Activity During Daily Life Circumstances.\",\"authors\":\"L Verlaan, S A A N Bolink, S N Van Laarhoven, M Lipperts, I C Heyligers, B Grimm, R Senden\",\"doi\":\"10.2174/1874120701509010157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>It is important to assess physical activity objectively during daily life circumstances, to understand the association between physical activity and diseases and to determine the effectiveness of interventions. Accelerometer-based physical activity monitoring seems a promising method and could potentially capture all four FITT (i.e. Frequency, Intensity, Time, Type) components of physical activity considered by the World Health Organization (WHO).</p><p><strong>Aim: </strong>To assess the four FITT components of physical activity with an accelerometer during daily life circumstances and compare with self-reported levels of physical activity in patients with knee osteoarthritis (OA) and a healthy control group.</p><p><strong>Methods: </strong>Patients (n=30) with end-stage knee OA and age-matched healthy subjects (n=30) were measured. An ambulant tri-axial accelerometer was placed onto the lateral side of the upper leg. Physical activity was measured during four consecutive days. Using algorithm-based peak detection methods in Matlab, parameters covering the four FITT components were assessed. Self-reported physical activity was assessed using the Short questionnaire to assess health enhancing physical activity (SQUASH).</p><p><strong>Results: </strong>Knee OA patients demonstrated fewer walking bouts (154 ±79 versus 215 ±65 resp.; p=0.002), step counts (4402 ±2960 steps/day versus 6943 ±2581 steps/day; p=0.001) and sit-to-stand (STS) transfers (37 ±14 versus 44 ±12; p=0.031) compared to controls. Knee OA patients demonstrated more time sitting (65 ±15% versus 57 ±10% resp.; p=0.029), less time walking (8 ±4% versus 11 ±4% resp.; p=0.014) and lower walking cadence (87 ±11steps/min versus 99 ± 8steps/min resp.; p<0.001). Accelerometer-based parameters of physical activity were moderately-strong (Pearsons's r= 0.28-0.49) correlated to self-reported SQUASH scores.</p><p><strong>Conclusion: </strong>A single ambulant accelerometer-based physical activity monitor feasibly captures the four FITT components of physical activity and provides more insight into the actual physical activity behavior and limitations of knee OA patients in their daily life.</p>\",\"PeriodicalId\":39121,\"journal\":{\"name\":\"Open Biomedical Engineering Journal\",\"volume\":\"9 \",\"pages\":\"157-63\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2174/1874120701509010157\",\"citationCount\":\"44\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Biomedical Engineering Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1874120701509010157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2015/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Biomedical Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874120701509010157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2015/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 44
摘要
背景:在日常生活环境中客观地评估身体活动,了解身体活动与疾病之间的关系以及确定干预措施的有效性是很重要的。基于加速度计的身体活动监测似乎是一种很有前途的方法,有可能捕获世界卫生组织(世卫组织)认为的身体活动的所有四个FITT组成部分(即频率、强度、时间、类型)。目的:用加速度计评估日常生活中身体活动的四个FITT组成部分,并与膝关节骨关节炎(OA)患者和健康对照组的自我报告的身体活动水平进行比较。方法:对30例终末期膝关节OA患者和30例年龄匹配的健康受试者进行测量。将一个可移动的三轴加速度计放置在上肢外侧。连续四天测量身体活动。利用Matlab中基于算法的峰值检测方法,对覆盖四个FITT分量的参数进行了评估。自我报告的体力活动采用短问卷评估健康促进体力活动(SQUASH)。结果:膝关节OA患者行走次数较少(154±79次vs 215±65次);P =0.002),步数(4402±2960步/天vs 6943±2581步/天;p=0.001)和坐立转换(STS)(37±14 vs 44±12;P =0.031)。膝关节OA患者坐着的时间更长(65±15% vs 57±10%);P =0.029),步行时间减少(8±4%比11±4%;P =0.014)和较低的步行节奏(87±11步/分钟vs 99±8步/分钟);结论:单一的基于动态加速度计的身体活动监测仪可以捕获身体活动的四个FITT组成部分,并可以更深入地了解膝关节OA患者在日常生活中的实际身体活动行为和局限性。
Accelerometer-based Physical Activity Monitoring in Patients with Knee Osteoarthritis: Objective and Ambulatory Assessment of Actual Physical Activity During Daily Life Circumstances.
Background: It is important to assess physical activity objectively during daily life circumstances, to understand the association between physical activity and diseases and to determine the effectiveness of interventions. Accelerometer-based physical activity monitoring seems a promising method and could potentially capture all four FITT (i.e. Frequency, Intensity, Time, Type) components of physical activity considered by the World Health Organization (WHO).
Aim: To assess the four FITT components of physical activity with an accelerometer during daily life circumstances and compare with self-reported levels of physical activity in patients with knee osteoarthritis (OA) and a healthy control group.
Methods: Patients (n=30) with end-stage knee OA and age-matched healthy subjects (n=30) were measured. An ambulant tri-axial accelerometer was placed onto the lateral side of the upper leg. Physical activity was measured during four consecutive days. Using algorithm-based peak detection methods in Matlab, parameters covering the four FITT components were assessed. Self-reported physical activity was assessed using the Short questionnaire to assess health enhancing physical activity (SQUASH).
Results: Knee OA patients demonstrated fewer walking bouts (154 ±79 versus 215 ±65 resp.; p=0.002), step counts (4402 ±2960 steps/day versus 6943 ±2581 steps/day; p=0.001) and sit-to-stand (STS) transfers (37 ±14 versus 44 ±12; p=0.031) compared to controls. Knee OA patients demonstrated more time sitting (65 ±15% versus 57 ±10% resp.; p=0.029), less time walking (8 ±4% versus 11 ±4% resp.; p=0.014) and lower walking cadence (87 ±11steps/min versus 99 ± 8steps/min resp.; p<0.001). Accelerometer-based parameters of physical activity were moderately-strong (Pearsons's r= 0.28-0.49) correlated to self-reported SQUASH scores.
Conclusion: A single ambulant accelerometer-based physical activity monitor feasibly captures the four FITT components of physical activity and provides more insight into the actual physical activity behavior and limitations of knee OA patients in their daily life.