Journal for the measurement of physical behaviour最新文献_第2页

The KID Study (Kids Interacting With Dogs): Piloting a Novel Approach for Measuring Dog-Facilitated Youth Physical Activity KID 研究（儿童与狗互动）：试行一种新方法来衡量由狗协助的青少年体育活动

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 DOI: 10.1123/jmpb.2023-0014

Colleen J. Chase, S. Burkart, Katie Potter

{"title":"The KID Study (Kids Interacting With Dogs): Piloting a Novel Approach for Measuring Dog-Facilitated Youth Physical Activity","authors":"Colleen J. Chase, S. Burkart, Katie Potter","doi":"10.1123/jmpb.2023-0014","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0014","url":null,"abstract":"Background: Two-thirds of children in the United States do not meet the National Physical Activity Guidelines, leaving a majority at higher risk for negative health outcomes. Novel, effective children’s physical activity (PA) interventions are urgently needed. Dog-facilitated PA (e.g., dog walking and active play) is a promising intervention target, as dogs support many of the known correlates of children’s PA. There is a need for accurate methods of quantifying dog-facilitated PA. Purpose: The study purpose was to determine the feasibility and acceptability of a novel method for quantifying the volume and intensity of dog-facilitated PA among dog-owning children. Methods: Children and their dog(s) wore ActiGraph accelerometers with a Bluetooth proximity feature for 7 days. Additionally, parents logged child PA with the family dog(s). Total minutes of dog-facilitated PA and percentage of overall daily moderate to vigorous PA performed with the dog were calculated. Results: Twelve children (mean age = 7.8 ± 2.9 years) participated. There was high feasibility, with 100% retention, valid device data (at least 4 days ≥6-hr wear time), and completion of daily parent log and questionnaire packets. On average, dog-facilitated PA contributed 22.9% (9.2 min) and 15.1% (7.3 min) of the overall daily moderate to vigorous PA for children according to Bluetooth proximity data and parent report, respectively. Conclusions: This pilot study demonstrated the feasibility of utilizing an accelerometer with a proximity feature to quantify dog-facilitated PA. Future research should use this protocol with a larger, more diverse sample to determine whether dog-facilitated PA contributes a clinically significant amount toward overall PA in dog-owning youth.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"23 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140526763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding Physical Behaviors During Periods of Accelerometer Wear and Nonwear in College Students 了解大学生佩戴和未佩戴加速度计期间的身体行为

Journal for the measurement of physical behaviour Pub Date : 2023-12-01 DOI: 10.1123/jmpb.2023-0034

A. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, Michael D. Schmidt

{"title":"Understanding Physical Behaviors During Periods of Accelerometer Wear and Nonwear in College Students","authors":"A. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, Michael D. Schmidt","doi":"10.1123/jmpb.2023-0034","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0034","url":null,"abstract":"Accelerometers are increasingly used to measure 24-hr movement behaviors but are sometimes removed intermittently (e.g., for sleep or bathing), resulting in missing data. This study compared physical behaviors between times a hip-placed accelerometer was worn versus not worn in a college student sample. Participants (n = 115) wore a hip-placed ActiGraph during waking times and a thigh-placed activPAL continuously for at least 7 days (mean ± SD 7.5 ± 1.1 days). Thirteen nonwear algorithms determined ActiGraph nonwear; days included in the analysis had to have at least 1 min where the ActiGraph classified nonwear while participant was classified as awake by the activPAL. activPAL data for steps, time in sedentary behaviors (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (MVPA) from ActiGraph wear times were then compared with activPAL data from ActiGraph nonwear times. Participants took more steps (10.2–11.8 steps/min) and had higher proportions of MVPA (5.0%–5.9%) during ActiGraph wear time than nonwear time (3.1–8.0 steps/min, 0.8%–1.3% in MVPA). Effects were variable for SB (62.6%–66.9% of wear, 45.5%–76.2% of nonwear) and LPA (28.2%–31.5% of wear, 23.0%–53.2% of nonwear) depending on nonwear algorithm. Rescaling to a 12-hr day reduced SB and LPA error but increased MVPA error. Requiring minimum wear time (e.g., 600 min/day) reduced error but resulted in 10%–22% of days removed as invalid. In conclusion, missing data had minimal effect on MVPA but resulted in underestimation of SB and LPA. Strategies like scaling SB and LPA, but not MVPA, may improve physical behavior estimates from incomplete accelerometer data.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138614754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semiautomatic Training Load Determination in Endurance Athletes 耐力运动员半自动训练负荷测定

Journal for the measurement of physical behaviour Pub Date : 2023-09-01 DOI: 10.1123/jmpb.2023-0016

Christophe Dausin, Sergio Ruiz-Carmona, Ruben De Bosscher, Kristel Janssens, Lieven Herbots, Hein Heidbuchel, Peter Hespel, Véronique Cornelissen, Rik Willems, André La Gerche, Guido Claessen, _ _

{"title":"Semiautomatic Training Load Determination in Endurance Athletes","authors":"Christophe Dausin, Sergio Ruiz-Carmona, Ruben De Bosscher, Kristel Janssens, Lieven Herbots, Hein Heidbuchel, Peter Hespel, Véronique Cornelissen, Rik Willems, André La Gerche, Guido Claessen, _ _","doi":"10.1123/jmpb.2023-0016","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0016","url":null,"abstract":"Background : Despite endurance athletes recording their training data electronically, researchers in sports cardiology rely on questionnaires to quantify training load. This is due to the complexity of quantifying large numbers of training files. We aimed to develop a semiautomatic postprocessing tool to quantify training load in clinical studies. Methods : Training data were collected from two prospective athlete’s heart studies (Master Athlete’s Heart study and Prospective Athlete Heart study). Using in-house developed software, maximal heart rate (MaxHR) and training load were calculated from heart rate monitored during cumulative training sessions. The MaxHR in the lab was compared with the MaxHR in the field. Lucia training impulse score, based on individually based exercise intensity zones, and Edwards training impulse, based on MaxHR in the field, were compared. A questionnaire was used to determine the number of training sessions and training hours per week. Results : Forty-three athletes recorded their training sessions using a chest-worn heart rate monitor and were selected for this analysis. MaxHR in the lab was significantly lower compared with MaxHR in the field (183 ± 12 bpm vs. 188 ± 13 bpm, p < .01), but correlated strongly ( r = .81, p < .01) with acceptable limits of agreement (±15.4 bpm). An excellent correlation was found between Lucia training impulse score and Edwards training impulse ( r = .92, p < .0001). The quantified number of training sessions and training hours did not correlate with the number of training sessions ( r = .20) and training hours ( r = −.12) reported by questionnaires. Conclusion : Semiautomatic measurement of training load is feasible in a wide age group. Standard exercise questionnaires are insufficiently accurate in comparison to objective training load quantification.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135347919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Daily Activity of Individuals With an Amputation Above the Knee as Recorded From the Nonamputated Limb and the Prosthetic Limb 从未截肢肢体和假肢记录的膝关节以上截肢者的日常活动

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0053

K. Hagberg, R. Zügner, P. Thomsen, R. Tranberg

{"title":"Daily Activity of Individuals With an Amputation Above the Knee as Recorded From the Nonamputated Limb and the Prosthetic Limb","authors":"K. Hagberg, R. Zügner, P. Thomsen, R. Tranberg","doi":"10.1123/jmpb.2022-0053","DOIUrl":"https://doi.org/10.1123/jmpb.2022-0053","url":null,"abstract":"Introduction: Mobility restriction following limb loss might lead to a sedentary lifestyle, impacting health. Daily activity monitoring of amputees has focused on prosthetic steps, neglecting overall activity. Purpose: To assess daily activity in individuals with an established amputation and to explore the amount of activity recorded from the prosthesis as compared to the overall activity. Methods: Individuals with a unilateral transfemoral amputation or knee disarticulation who had used a prosthesis in daily life for >1 year and could walk 100 m (unsupported or single aided) were recruited. Descriptive information and prosthetic mobility were collected. Two activPAL™ accelerometers were attached to the nonamputated thigh and the prosthesis, respectively. The mean daily activity over 7 days was compared between the nonamputated limb and the prosthesis. Results: Thirty-nine participants (22 men/17 women; mean age 54 [14.5] years) with amputation mainly due to trauma (59%) or tumor (28%) were included. Overall, participants took 6,125 steps and spent 10.2 hr sedentary, 5.0 hr upright, and 8.7 hr laying per day. Compared to recordings from the nonamputated limb, 85% of sit-to-stand transitions (32/38), 73% of steps (4,449/6,125), and 68% of walking time (1.0/1.5 hr) were recorded from the prosthesis. Recordings seemed to be less adequate for incidental prosthetic steps than for walks. Conclusions: Sedentary behavior accounted for most of the day demonstrating the importance to encourage physical activity among established prosthetic users. The prosthesis is used for daily activity to a great extent. However, noted pitfalls in the recordings call for further refinement of the measurements.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84762155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Let us Dance Around the World! Toward More Diversity, Equity, and Inclusion in Research 让我们一起环游世界!迈向研究的多样性、公平性和包容性

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0043

M. Chinapaw, Manou Anselma

{"title":"Let us Dance Around the World! Toward More Diversity, Equity, and Inclusion in Research","authors":"M. Chinapaw, Manou Anselma","doi":"10.1123/jmpb.2022-0043","DOIUrl":"https://doi.org/10.1123/jmpb.2022-0043","url":null,"abstract":"We strongly believe that diversity, equity, and inclusion in research lead to better science, more innovations and more relevant outcomes that better serve society at large. Historically, scientific research is quite WEIRD, meaning that it is dominated by researchers and study samples from Western, Educated, Industrialized, Rich, and Democratic countries. Such WEIRD research leads to results that better serve a small, privileged group of WEIRD people, widening health inequalities. Research among a selective group with similar backgrounds and perspectives results in bias and hinders innovation. As a result, we end up missing out on the valuable holistic viewpoint that more inclusive research would gain. In this invited commentary based on the International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM) 2022 keynote presentation by Prof. ChinAPaw, we discuss the importance of diversity, equity, and inclusion in research and introduce our vision for AWESOME science—All-inclusive, Worldwide ranging, Equitable, Sincere, Open-minded, Mindful of our own implicit bias, and Essential—that is more inclusive and relevant for everyone regardless of who they are and where they live. More diversity, equity, and inclusion make our collective dance toward healthy societies more beautiful and impactful!","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87589034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Applying Average Real Variability to Quantifying Day–Day Physical Activity and Sedentary Postures Variability: A Comparison With Standard Deviation 应用平均真实变异性量化日常身体活动和久坐姿势变异性:与标准差的比较

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2023-0021

Madeline E. Shivgulam, M. O'Brien

{"title":"Applying Average Real Variability to Quantifying Day–Day Physical Activity and Sedentary Postures Variability: A Comparison With Standard Deviation","authors":"Madeline E. Shivgulam, M. O'Brien","doi":"10.1123/jmpb.2023-0021","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0021","url":null,"abstract":"Intraindividual activity variability is often overlooked, with some existing work using SD as a variability metric. However, average real variability (ARV) may be a more suitable metric as it accounts for temporal variability. The purpose of this exploratory study was to (a) apply ARV analyses to habitual activity outcomes; (b) assess the agreement between ARV and SD for habitual step counts, standing time, and sedentary time; and (c) determine the relationship between activity variability (SD and ARV) with average activity values. One hundred and eighty-nine participants (37 ± 22 years, 109 females) wore the activPAL inclinometer on their thigh 24 hr/day for 6.4 ± 0.9 days. SD and ARV were calculated for each participant across their wear time. A Wilcoxon signed-rank test revealed that ARV was significantly higher than SD for step count, standing time, and sedentary time (all, p < .001). Equivalence testing demonstrated mixed equivalence for step counts (10%), standing time (12%), and sedentary time (14%). SD and ARV were highly correlated to each other for all activity metrics (all, ρ > .857, p < .001). SD was moderately (ρ = .601, p < .001) and weakly (ρ = .296, p < .001) correlated with average step count and standing time, respectively. ARV was weakly correlated with average step count and standing time (both: ρ < .499, p < .001). However, average sedentary time was not associated with SD or ARV (both, p > .177). While the two measurements of variability were strongly correlated, they cannot be used interchangeably. More monitoring research should consider intraindividual activity variability and use methods, such as ARV, that consider the temporal nature of day–day activity.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85999131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolution of Public Health Physical Activity Applications of Accelerometers: A Personal Perspective 加速度计在公共健康运动应用的演变:个人视角

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0038

R. Troiano

引用次数: 1

The Stryd Foot Pod Is a Valid Measure of Stepping Cadence During Treadmill Walking and Running Stryd脚蹬是在跑步机上行走和跑步时测量步速的有效方法

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0031

Madeline E. Shivgulam, Jennifer L. Petterson, Liam P. Pellerine, D. Kimmerly, M. O'Brien

{"title":"The Stryd Foot Pod Is a Valid Measure of Stepping Cadence During Treadmill Walking and Running","authors":"Madeline E. Shivgulam, Jennifer L. Petterson, Liam P. Pellerine, D. Kimmerly, M. O'Brien","doi":"10.1123/jmpb.2022-0031","DOIUrl":"https://doi.org/10.1123/jmpb.2022-0031","url":null,"abstract":"Stepping cadence is an important determinant of activity intensity, with faster stepping associated with the most health benefits. The Stryd monitor provides real-time feedback on stepping cadence. The limited existing literature has neither validated the Stryd across slow walking to fast running speeds nor strictly followed statistical guidelines for monitor validation studies. We assessed the criterion validity of the Stryd monitor to detect stepping cadence across multiple walking and jogging/running speeds. It was hypothesized that the Stryd monitor would be an accurate measure of stepping cadence across all measured speeds. Forty-six participants (23 ± 5 years, 26 females) wore the Stryd monitor on their shoelaces during a 10-stage progressive treadmill walking (Speeds 1–5) and jogging/running (Speeds 6–10) protocol (criterion: manually counted video-recorded cadence; total stages: 438). Standardized guidelines for physical activity monitor statistical analyses were followed. A two-way repeated-measure analysis of variance revealed the Stryd monitor recorded a slightly higher cadence (<1 steps/min difference, all p < .001) at 2 miles/hr (92.1 ± 6.2 steps/min vs. 91.5 ± 6.4 steps/min, p < .001), 2.5 miles/hr (101.3 ± 6.1 steps/min vs. 100.7 ± 6.4 steps/min), and 3.5 miles/hr (117.4 ± 5.9 steps/min vs. 117.0 ± 6.0 steps/min). However, equivalence testing demonstrated high equivalence of the Stryd and manually counted cadence (equivalence zone required: ≤± 2.6%) across all speeds. The Stryd activity monitor is a valid measure of stepping cadence across walking, jogging, and running speeds. By providing real-time cadence feedback, the Stryd monitor has strong potential to help guide the general public monitor their stepping intensity to promote more habitual activity at faster cadences.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"10 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72411229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Convergent Validity Between Epoch-Based activPAL and ActiGraph Methods for Measuring Moderate to Vigorous Physical Activity in Youth and Adults 基于时代的activPAL和ActiGraph测量青少年和成人中高强度体力活动的收敛效度

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0013

Adrian Ortega, B. Forseth, P. Hibbing, Chelsea Steel, J. Carlson

{"title":"Convergent Validity Between Epoch-Based activPAL and ActiGraph Methods for Measuring Moderate to Vigorous Physical Activity in Youth and Adults","authors":"Adrian Ortega, B. Forseth, P. Hibbing, Chelsea Steel, J. Carlson","doi":"10.1123/jmpb.2022-0013","DOIUrl":"https://doi.org/10.1123/jmpb.2022-0013","url":null,"abstract":"Purpose: We investigated convergent validity of commonly used ActiGraph scoring methods with various activPAL scoring methods in youth and adults. Methods: Youth and adults wore an ActiGraph and activPAL simultaneously for 1–3 days. We compared moderate to vigorous physical activity (MVPA) estimates from the ActiGraph Evenson 15-s (youth) and Freedson 60-s (adult) cut-point scoring methods and four activPAL scoring methods based on metabolic equivalents (METs), step counts, vertical axis counts, and vector magnitude counts. All activPAL methods were applied to 15-s epochs for youth and 60-s epochs for adults, and the METs method was also applied to 1-s epochs. Epoch-level agreement was examined with classification tests (sensitivity, positive predictive value, and F1) using the ActiGraph methods as the referent. Day-level agreement was examined using tests of mean error, mean absolute error, and Spearman correlations. Results: Relative to ActiGraph methods, which indicated a mean MVPA of 41 min/day for youth and 24 min/day for adults, the activPAL METs method applied to 15-s epochs in youth and 60-s epochs in adults yielded the most comparable estimates of MVPA. Daily MVPA estimated from all other activPAL scoring methods generally had poor agreement with ActiGraph methods in youth and adults. Conclusion: When using the same epoch lengths between monitors, MVPA estimation via the activPAL METs scoring method appears to have good comparability to ActiGraph cut points at the group-level and moderate comparability at the individual-level in youth and adults. When using this scoring method, the activPAL appears to be appropriate for measuring daily minutes of MVPA in youth and adults.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"225 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85988227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Prediction Strength for Clustering Activity Patterns Using Accelerometer Data 利用加速度计数据聚类活动模式的预测强度

Journal for the measurement of physical behaviour Pub Date : 2023-01-01 DOI: 10.1123/jmpb.2022-0049

Jingzhi Yu, K. Kapphahn, Hyatt Moore, F. Haydel, Thomas Robinson, M. Desai

{"title":"Prediction Strength for Clustering Activity Patterns Using Accelerometer Data","authors":"Jingzhi Yu, K. Kapphahn, Hyatt Moore, F. Haydel, Thomas Robinson, M. Desai","doi":"10.1123/jmpb.2022-0049","DOIUrl":"https://doi.org/10.1123/jmpb.2022-0049","url":null,"abstract":"Background: Clustering, a class of unsupervised machine learning methods, has been applied to physical activity data recorded by accelerometers to discover unique patterns of physical activity and health outcomes. The prediction strength metric provides a criterion to determine the optimal number of clusters for clustering methods. The aim of this study is to provide specific guidance for applying prediction strength to time series accelerometer data. Methods: For this purpose, we designed an extensive simulation study. We created a synthetic data set of accelerometer data using data from a childhood obesity management trial. We evaluated the role of a prespecified threshold of the prediction strength metric as a key input parameter. We compared the recommended threshold (between 0.8 and 0.9) with an approach we developed (Local Maxima). Results: The choice of threshold had a large impact on performance. When the noise level increased (greater overlap between true clusters), lower thresholds outperformed the recommended threshold, which tended to underestimate the true number of clusters. In addition, we found that sorting the data by magnitude of intensity in windows within the time series of interest prior to clustering alleviated sensitivity to threshold choice. Furthermore, for accelerometer data, we recommend that the Local Maxima approach be utilized together with a graphical evaluation of the prediction strength metric function over values of k. Finally, we strongly suggest sorting of the data prior to clustering if sorting retains meaning for the research question at hand. Conclusion: Our recommendations can help future researchers discover more robust patterns from accelerometer data.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86721974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0