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

Pre- Versus Postmeal Sedentary Duration—Impact on Postprandial Glucose in Older Adults With Overweight or Obesity 餐前与餐后静坐时间--对超重或肥胖老年人餐后血糖的影响

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 DOI: 10.1123/jmpb.2023-0032

Elizabeth Chun, I. Gaynanova, Edward L. Melanson, Kate Lyden

{"title":"Pre- Versus Postmeal Sedentary Duration—Impact on Postprandial Glucose in Older Adults With Overweight or Obesity","authors":"Elizabeth Chun, I. Gaynanova, Edward L. Melanson, Kate Lyden","doi":"10.1123/jmpb.2023-0032","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0032","url":null,"abstract":"Introduction: Reducing sedentary time is associated with improved postprandial glucose regulation. However, it is not known if the timing of sedentary behavior (i.e., pre- vs. postmeal) differentially impacts postprandial glucose in older adults with overweight or obesity. Methods: In this secondary analysis, older adults (≥65 years) with overweight and obesity (body mass index ≥ 25 kg/m2) wore a continuous glucose monitor and a sedentary behavior monitor continuously in their real-world environments for four consecutive days on four separate occasions. Throughout each 4-day measurement period, participants followed a standardized eucaloric diet and recorded mealtimes in a diary. Glucose, sedentary behavior, and meal intake data were fused using sensor and diary timestamps. Mixed-effect linear regression models were used to evaluate the impact of sedentary timing relative to meal intake. Results: Premeal sedentary time was significantly associated with both the increase from premeal glucose to the postmeal peak (ΔG) and the percent of premeal glucose increase that was recovered 1-hr postmeal glucose peak (%Baseline Recovery; p < .05), with higher levels of premeal sedentary time leading to both a larger ΔG and a smaller %Baseline Recovery. Postmeal sedentary time was significantly associated with the time from meal intake to glucose peak (ΔT; p < .05), with higher levels of postmeal sedentary time leading to a longer time to peak. Conclusions: Pre- versus postmeal sedentary behavior differentially impacts postprandial glucose response in older adults with overweight or obesity, suggesting that the timing of sedentary behavior reductions might play an influential role on long-term glycemic control.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140523370","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

Measurement Reactivity in Ecological Momentary Assessment Studies of Movement-Related Behaviors. 运动相关行为生态瞬间评价研究中的测量反应性。

IF 1.5

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 Epub Date: 2024-04-15 DOI: 10.1123/jmpb.2023-0035

Jaclyn P Maher, Danielle Arigo, Kiri Baga, Gabrielle M Salvatore, Kristen Pasko, Brynn L Hudgins, Laura M König

{"title":"Measurement Reactivity in Ecological Momentary Assessment Studies of Movement-Related Behaviors.","authors":"Jaclyn P Maher, Danielle Arigo, Kiri Baga, Gabrielle M Salvatore, Kristen Pasko, Brynn L Hudgins, Laura M König","doi":"10.1123/jmpb.2023-0035","DOIUrl":"10.1123/jmpb.2023-0035","url":null,"abstract":"Measurement reactivity has implications for behavioral science, as it is crucial to determine whether changes in constructs of interest represent true change or are an artifact of assessment. This study investigated whether measurement reactivity occurs for movement-related behaviors, motivational antecedents of behavior, and associations between them. Data from ecological momentary assessment studies of older adults (n = 195) and women in midlife (n = 75) lasting 8-10 days with 5-6 prompts/day and ambulatory monitoring of movement were used for this secondary data analysis. To examine potential drop-off patterns indicative of measurement reactivity, multilevel models tested whether behavior, antecedents, and associations changed after the first or first 2 prompts compared with remaining prompts and the first, first 2, or first 3 days compared with remaining days. Older adults' sedentary behavior was lower, and time spent upright and intentions and self-efficacy to stand/move were higher on the first 2 and first 3 days compared with remaining days. Associations between intentions and self-efficacy and subsequent sedentary behavior were weaker earlier in the study compared to later. For women in midlife, light physical activity was higher at the first and first 2 prompts compared with remaining prompts, and physical activity motivation was higher across all prompts and days tested. There was a stronger association between intended and observed minutes of moderate to vigorous physical activity on the first 2 days compared with remaining days. Measurement reactivity appeared as expected for movement-related behaviors and motivational antecedents, though changes in associations between these constructs are likely do not reflect measurement reactivity.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"7 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12922600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147273263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying Multicomponent Patterns and Correlates of Accelerometry-Assessed Physical Behaviors Among Postmenopausal Women: The Women's Health Accelerometry Collaboration. 识别多成分模式和相关的加速计评估的身体行为在绝经后妇女：妇女健康加速计合作。

IF 1.7

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 Epub Date: 2024-09-10 DOI: 10.1123/jmpb.2024-0002

Kelly R Evenson, Annie Green Howard, Fang Wen, Chongzhi Di, I-Min Lee

{"title":"Identifying Multicomponent Patterns and Correlates of Accelerometry-Assessed Physical Behaviors Among Postmenopausal Women: The Women's Health Accelerometry Collaboration.","authors":"Kelly R Evenson, Annie Green Howard, Fang Wen, Chongzhi Di, I-Min Lee","doi":"10.1123/jmpb.2024-0002","DOIUrl":"10.1123/jmpb.2024-0002","url":null,"abstract":"Understanding the simultaneous patterning of accelerometer-measured physical activity and sedentary behavior (physical behaviors) can inform targeted interventions. This cross-sectional study described multi-component patterns and correlates of physical behaviors using accelerometry among diverse postmenopausal women. The Women's Health Accelerometry Collaboration combined two United States-based cohorts of postmenopausal women with similar accelerometry protocols and measures. Women (n=22,612) 62 to 97 years enrolled in the Women's Health Study (n=16,742) and the Women's Health Initiative Objective Physical Activity and Cardiovascular Health Study (n=5870) wore an ActiGraph GT3X+ accelerometer on their hip for one week. Awake-time accelerometry data were summarized using the accelerometer activity index into sedentary behavior, light (low, high), and moderate-to-vigorous physical activity. Latent class analysis was used to classify physical behavior hour-by-hour. Five unique patterns were identified with higher total volume of physical activity and lower sedentary behavior with each successively higher-class number based on percentage of the day in physical activity/sedentary behavior per hour over seven days. The percentage assignment was 16.3% class 1, 33.9% class 2, 20.2% class 3, 18.0% class 4, and 11.7% class 5. Median posterior probabilities ranged from 0.99-1.00. Younger age, higher education and general health, normal weight, never smokers, weekly drinking, and faster self-reported walking speed generally had higher class assignment compared to their counterparts. History of diabetes and cardiovascular disease generally had lower class assignment compared to those without these conditions. These results can inform targeted interventions based on common patterns of physical behaviors by time of day among postmenopausal women.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12352512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparability of 24-hr Activity Cycle Outputs From ActiGraph Counts Generated in ActiLife and RStudio 在 ActiLife 和 RStudio 中生成的 ActiGraph 计数的 24 小时活动周期输出的可比性

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 DOI: 10.1123/jmpb.2023-0047

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

{"title":"Comparability of 24-hr Activity Cycle Outputs From ActiGraph Counts Generated in ActiLife and RStudio","authors":"A. Montoye, Kimberly A. Clevenger, Benjamin D. Boudreaux, Michael D. Schmidt","doi":"10.1123/jmpb.2023-0047","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0047","url":null,"abstract":"Data from ActiGraph accelerometers have long been imported into ActiLife software, where the company’s proprietary “activity counts” were generated in order to understand physical behavior metrics. In 2022, ActiGraph released an open-source method to generate activity counts from any raw, triaxial accelerometer data using Python, which has been translated into RStudio packages. However, it is unclear if outcomes are comparable when generated in ActiLife and RStudio. Therefore, the authors’ technical note systematically compared activity counts and related physical behavior metrics generated from ActiGraph accelerometer data using ActiLife or available packages in RStudio and provides example code to ease implementation of such analyses in RStudio. In addition to comparing triaxial activity counts, physical behavior outputs (sleep, sedentary behavior, light-intensity physical activity, and moderate- to vigorous-intensity physical activity) were compared using multiple nonwear algorithms, epochs, cut points, sleep scoring algorithms, and accelerometer placement sites. Activity counts and physical behavior outcomes were largely the same between ActiLife and the tested packages in RStudio. However, peculiarities in the application of nonwear algorithms to the first and last portions of a data file (that occurred on partial, first or last days of data collection), differences in rounding, and handling of counts values on the borderline of activity intensities resulted in small but inconsequential differences in some files. The hope is that researchers and both hardware and software manufacturers continue to push efforts toward transparency in data analysis and interpretation, which will enhance comparability across devices and studies and help to advance fields examining links between physical behavior and health.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"109 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140515747","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

Criterion Validity of Accelerometers in Determining Knee-Flexion Angles During Sitting in a Laboratory Setting 加速度计在实验室环境中测定坐姿时膝屈角的标准有效性

Journal for the measurement of physical behaviour Pub Date : 2024-01-01 DOI: 10.1123/jmpb.2023-0027

Yanlin Wu, M. O'Brien, Alex Peddle, W. S. Daley, Beverly D. Schwartz, D. Kimmerly, Ryan J. Frayne

{"title":"Criterion Validity of Accelerometers in Determining Knee-Flexion Angles During Sitting in a Laboratory Setting","authors":"Yanlin Wu, M. O'Brien, Alex Peddle, W. S. Daley, Beverly D. Schwartz, D. Kimmerly, Ryan J. Frayne","doi":"10.1123/jmpb.2023-0027","DOIUrl":"https://doi.org/10.1123/jmpb.2023-0027","url":null,"abstract":"Introduction: Device-based monitors often classify all sedentary positions as the sitting posture, but sitting with bent or straight legs may exhibit unique physiological and biomechanical effects. The classifications of the specific nuances of sitting have not been understood. The purpose of this study was to validate a dual-monitor approach from a trimonitor configuration measuring knee-flexion angles compared to motion capture (criterion) during sitting in laboratory setting. Methods: Nineteen adults (12♀, 24 ± 4 years) wore three activPALs (torso, thigh, tibia) while 14 motion capture cameras simultaneously tracked 15 markers located on bony landmarks. Each participant completed a 45-s supine resting period and eight, 45-s seated trials at different knee flexion angles (15° increment between 0° and 105°, determined via goniometry), followed by 15 s of standing. Validity was assessed via Friedman’s test (adjusted p value = .006), mean absolute error, Bland–Altman analyses, equivalence testing, and intraclass correlation. Results: Compared to motion capture, the calculated angles from activPALs were not different during 15°–90° (all, p ≥ .009), underestimated at 105° (p = .002) and overestimated at 0°, as well as the supine position (both, p < .001). Knee angles between 15° and 105° exhibited a mean absolute error of ∼5°, but knee angles <15° exhibited larger degrees of error (∼10°). A proportional (β = −0.12, p < .001) bias was observed, but a fixed (0.5° ± 1.7°, p = .405) bias did not exist. In equivalence testing, the activPALs were statistically equivalent to motion capture across 30°–105°. Strong agreement between the activPALs and motion capture was observed (intraclass correlation = .97, p < .001). Conclusions: The usage of a three-activPAL configuration detecting seated knee-flexion angles in free-living conditions is promising.","PeriodicalId":73572,"journal":{"name":"Journal for the measurement of physical behaviour","volume":"52 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139634467","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

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