The park physical activity questionnaire (Park-PAQ): A reliable measurement tool for park-based and total physical activity.

BACKGROUND: Few studies have explicitly quantified the proportion of park-based physical activity to park users' overall physical activity levels. Population studies need new context-specific physical activity measurement tools to achieve this. The objective of this study was to develop a reliable measure of self-reported park use and physical activity undertaken within and outside of parks to determine the contribution that park-based physical activity makes to overall physical activity levels. METHODS: A test-retest reliability study (n = 104) was conducted using the Park Physical Activity Questionnaire (Park-PAQ), an instrument based on the Active Australia Survey. Park-PAQ items captured the frequency and duration of walking for recreation or exercise, walking for transport, moderate and vigorous physical activity and strength, conditioning and balance activities done in parks and elsewhere. RESULTS: Recall of doing any walking for recreation (kappa = 0.649, p < 0.001) and any vigorous physical activity (kappa = 0.772, p < 0.001) was 'substantial', recall of doing any moderate physical activity (kappa = 0.553, p < 0.001) was 'moderate/acceptable', and recall of any walking for transport (kappa = 0.840, p < 0.001) 'near perfect'. Recall of the time spent walking for recreation in parks (ICC = 0.928, p < 0.001) was 'near perfect', whilst recall of time spent doing moderate activity in parks (ICC = 0.925, p < 0.001) and vigorous activity in parks (ICC = 0.962, p < 0.001) was 'near perfect'. Time spent walking for transport in a park (ICC = 0.200, p = 0.056) showed 'poor' agreement. Repeatability of the usual level of park use was 'substantial' (kappa = 0.744). CONCLUSIONS: The Park-PAQ reliably measures six domains of physical activity and quantifies the proportion of physical activity done in parks as a proportion of total physical activity. The Park-PAQ, used alone or embedded into park or physical activity surveys, will reliably capture context-specific activities that will optimise population level physical activity interventions, park programming and park management and design.

Physical Activity, Exercise Capacity and Sedentary Behavior in People with Alpha-1 Antitrypsin Deficiency: A Scoping Review.

Alpha-1 antitrypsin deficiency (AATD) is a hereditary disorder and a genetic risk factor for chronic obstructive pulmonary disease (COPD). Physical activity (PA) is important for the prevention and treatment of chronic disease. Little is known about PA in people with AATD. Therefore, we aimed to map the research undertaken to improve and/or measure PA, sedentary behaviour (SB) or exercise in people with AATD. Searches were conducted in CINAHL, Medline, EMBASE and clinical trial databases for studies published in 2021. Databases were searched for keywords (physical activity, AATD, exercise, sedentary behavior) as well as synonyms of these terms, which were connected using Boolean operators. The search yielded 360 records; 37 records were included for review. All included studies (n = 37) assessed exercise capacity; 22 studies reported the use of the six-minute walk test, the incremental shuttle walk test and cardiopulmonary exercise testing were reported in three studies each. Other objective measures of exercise capacity included a submaximal treadmill test, the Naughton protocol treadmill test, cycle ergometer maximal test, endurance shuttle walk test, constant cycle work rate test, a peak work rate test and the number of flights of stairs a participant was able to walk without stopping. A number of participant self-reported measures of exercise capacity were noted. Only one study aimed to analyze the effects of an intensive fitness intervention on daily PA. One further study reported on an exercise intervention and objectively measured PA at baseline. No studies measured SB. The assessment of PA and use of PA as an intervention in AATD is limited, and research into SB absent. Future research should measure PA and SB levels in people with AATD and explore interventions to enhance PA in this susceptible population.

Validation of the 2 × 24 h recall method and a 7-d web-based food diary against doubly labelled water in Danish adults.

The European Food Safety Authority has suggested that EU countries implement the 2 × 24 h diet recall (2 × 24 h DR) method and physical activity (PA) measurements for national dietary surveys. Since 2000, Denmark has used 7 d food diaries (7 d FD) with PA questionnaires and measurements. The accuracy of the reported energy intakes (EI) from the two diet methods, pedometer-determined step counts and self-reported time spent in moderate-to-vigorous PA (MVPA) were compared with total energy expenditure measured by the doubly labelled water (TEEDLW) technique and with PA energy expenditure (PAEE), respectively. The study involved fifty-two male and sixty-eight female volunteers aged 18-60 years who were randomly assigned to start with either the 24 h DR or the web-based 7 d FD, and wore a pedometer for the first 7 d and filled in a step diary. The mean TEEDLW (11·5 MJ/d) was greater than the mean reported EI for the 7 d FD (9·5 MJ/d (P < 0·01)) but the same as the 2 × 24 h DR (11·5 MJ/d). The proportion of under-reporters was 34 % (7 d FD) and 4 % (2 × 24 h DR). Most participants preferred the 7 d DR as it was more flexible, despite altering their eating habits. Pearson's correlation between steps corrected for cycling and PAEE was r = 0·44, P < 0·01. Spearman's correlation for self-reported hours spent in MVPA and PAEE was r = 0·58, P < 0·01. The 2 × 24 h DR performs better than the existing 7 d FD method. Pedometer-determined steps and self-reported MVPA are good predictors of PAEE in adult Danes.

Companion: A Pilot Randomized Clinical Trial to Test an Integrated Two-Way Communication and Near-Real-Time Sensing System for Detecting and Modifying Daily Inactivity among Adults >60 Years-Design and Protocol.

Supervised personal training is most effective in improving the health effects of exercise in older adults. Yet, low frequency (60 min, 1-3 sessions/week) of trainer contact limits influence on behavior change outside sessions. Strategies to extend the effect of trainer contact outside of supervision and that integrate meaningful and intelligent two-way communication to provide complex and interactive problem solving may motivate older adults to "move more and sit less" and sustain positive behaviors to further improve health. This paper describes the experimental protocol of a 16-week pilot RCT (N = 46) that tests the impact of supplementing supervised exercise (i.e., control) with a technology-based behavior-aware text-based virtual "Companion" that integrates a human-in-the-loop approach with wirelessly transmitted sensor-based activity measurement to deliver behavior change strategies using socially engaging, contextually salient, and tailored text message conversations in near-real-time. Primary outcomes are total-daily and patterns of habitual physical behaviors after 16 and 24 weeks. Exploratory analyses aim to understand Companion's longitudinal behavior effects, its user engagement and relationship to behavior, and changes in cardiometabolic and cognitive outcomes. Our findings may allow the development of a more scalable hybrid AI Companion to impact the ever-growing public health epidemic of sedentariness contributing to poor health outcomes, reduced quality of life, and early death.

A Summary of One Research Team's Contributions to Understanding Physical Activity Behavior in Children and Youth.

Schools are well-positioned to provide physical activity opportunities to help youth achieve the recommended 60 or more daily minutes of moderate-to-vigorous physical activity. The Children's Physical Activity Research Group (CPARG) at the University of South Carolina has focused on understanding physical activity in school-aged youth for 30+ years. The purpose of this article was to critically review (CPARG) contributions to the field in school settings and school-age youth. We reviewed 127 published CPARG articles from six research projects conducted between 1993-2019. The review was guided by questions in five categories: measurement of physical activity and its determinants, characteristics of physical activity behavior, correlates/determinants of physical activity, physical activity interventions, and race/ethnicity and physical activity. Results were summarized by question and synthesized across categories. CPARG contributions included assessing physical activity levels, patterns, forms, and contexts; identifying and measuring physical activity correlates/determinants; and conducting school-based physical activity interventions. Identifying multiple domains of physical activity determinants enables researchers and practitioners to select/design age-appropriate, valid, and reliable instruments to assess determinants. Focusing on determinants enables them to create effective physical activity interventions, environments, programs, and policies in schools. These efforts must address race/ethnicity differences, ensuring that measurement instruments and intervention strategies are culturally appropriate.

Parent-adolescent agreement in reported moderate-to-vigorous intensity physical activity during the COVID-19 pandemic.

PURPOSE: To describe the agreement between parent- and adolescent- reports of adolescent moderate-to-vigorous intensity physical activity (MVPA) and to determine sociodemographic factors associated with MVPA reporting differences during the COVID-19 pandemic. METHODS: We analyzed data collected in May 2020 from the Adolescent Brain Cognitive Development Study (ABCD, N = 4841), a U.S. prospective cohort study. We quantified past weekly adolescent MVPA levels as reported by the parent and adolescent (referent). Intra-class correlation coefficients (ICC) and Bland-Altman plots were used to examine the degree of agreement between parent- and adolescent- reports. RESULTS: When quantifying adolescent MVPA during the same recall period, median (p25, p75) MVPA (h∙wk.- 1) was 2.17 (0.00, 6.00) as reported by adolescents and 1.52 (0.29, 4.75) by parents with a mean difference of 4.89. Statistically significant differences in reports of MVPA were found in households with income > $75,000: on average, adolescents reported higher MVPA levels than their parents. Bland-Altman plots illustrated that, among adolescents reporting no or little MVPA, there was higher parent-adolescent agreement. However, among adolescents reporting high levels of MVPA, there was less agreement between the parent- and adolescent- reports. CONCLUSIONS: Despite more time spent together at home during the pandemic, there was generally low agreement between parent- and adolescent- reports of adolescent MVPA. Future research could examine parent-adolescent agreement of MVPA within the context of device-based measures (e.g., accelerometers), determine reasons for differences in parent-adolescent reporting of MVPA, and inform interventions for improved parental involvement and monitoring of MVPA.

Dyadic Analysis of a Self-report Physical Activity Measure for Adult-Youth Dyads.

Adult physical activity levels influence youth physical activity levels, but the nature of this relationship is still unknown. Most research focusing on this topic has been conducted with accelerometers, which are ideal since self-report physical activity measures can be biased. However, self-report measures for physical activity are useful to include in studies to gather information at low-cost. The purpose of this study was to further develop a self-report adult-youth dyad measure of physical activity. This study was conducted using secondary data analysis of the physical activity measures used in an intervention on behavioral nutrition (iCook 4-H). Participants were a sample of 214 adults (M = 39.0, SD = 8.0 years) and youth (M = 9.4, SD = 0.7 years) pairs. Accelerometer data was collected for a subset of youth (n = 122). There was dependency between the adult-youth physical activity data, and a dyadic confirmatory factor analysis model showed good fit to the data and achieved metric invariance, a measure to determine if the same construct was being measured in both youth and adults. Invariance was confirmed across matched versus unmatched sex pairs and some evidence of invariance with youth accelerometer data. Based on study findings, when using self-report measures of physical activity, researchers should measure both members of the adult-youth dyad to get more accurate measurements. Further validation of these findings is needed using an objective physical activity measure, like accelerometers, with all participants and more diverse samples.

An inventory of national surveillance systems assessing physical activity, sedentary behaviour and sport participation of adults in the European Union.

BACKGROUND: Physical inactivity has been recognised as a global public health problem that requires concerted action. This calls for systematic physical activity (PA) surveillance as a mechanism for assessing the problem and evaluating the effectiveness of related policies. Because countries tend to design their policy measures based on national surveillance data, here we present an inventory of existing national surveillance systems on PA, sedentary behaviour (SB) and sport participation (SP) among adult population in all European Union (EU) Member States. METHODS: As a part of the European Physical Activity and Sports Monitoring System (EUPASMOS) project, a questionnaire was constructed in the form of an on-line survey to collect detailed information on existing national surveillance systems on either PA, SB, or SP. National HEPA focal points from all 27 EU Member States were invited to answer the on-line questionnaire and data collection took part in the period May 2018-September 2019. RESULTS: National monitoring of PA or SB or SP for adults has been established in 16/27 EU Member States, that host 33 different PA/SB/SP monitoring systems. Apart from 3 countries that are using accelerometers (Finland, Ireland and Portugal), surveillance is typically based on questionnaires. In most Member States these questionnaires have not been validated in the particular language and cultural setting. Next, specific domains and dimensions of PA, SB and SP assessed vary a lot across countries. Only 3 countries (the Netherlands, Portugal and Slovenia) are monitoring all three behaviours while covering most of the domains and dimensions of PA/SB/SP. Lastly, as half of the existing surveillance systems set an upper age limit, in 9/16 countries that are monitoring PA/SB/SP, no data for people older than 80 years are available. CONCLUSIONS: Systematic surveillance of PA is lacking among 11/27 EU countries, with even few monitoring SB and SP. Besides, existing surveillance systems typically fail to assess all dimensions and domains of PA/SB/SP with only three countries maintaining monitoring systems that encompass all three behaviours while covering most of the domains and dimensions of PA/SB/SP. Hence, additional efforts in advocacy of systematic PA surveillance in the EU are called for.

Nuevas técnicas para medir el nivel de actividad física en estudios epidemiológicos sobre enfermedades no transmisibles en Cuba / New techniques to measure physical activity levels in epidemiological studies about non-communicable diseases in Cuba

Introducción: Los estudios epidemiológicos sobre enfermedades no transmisibles en Cuba requieren técnicas que determinen el nivel de actividad física de manera práctica, válida, confiable y costo-efectiva. Objetivo: Caracterizar las técnicas que miden el nivel de actividad física de cuestionarios validados por sensores de movimiento y que resulten aplicables en la población cubana. Métodos: La búsqueda se efectuó a través de bases de datos PubMed, Cochrane, LILACS y SciELO. Las palabras utilizadas en la búsqueda fueron: actividad física, actividad física/técnicas de medición, actividad física/cuestionario, inactividad física y enfermedades no transmisibles. Se consultaron documentos que hubiesen sido publicados en el periodo 2014-2019. Análisis e integración de la información: Se identificaron 66 artículos, de los cuales se seleccionaron 36 que contribuyeron al resultado final. Se describieron las características más relevantes de cada técnica, así como también las semejanzas y diferencias entre ellas. Basado en los criterios de los autores referidos y el de los autores, se definió cuál sería la técnica apropiada a utilizar. Conclusiones: Se considera que los podómetros junto con la versión corta del Cuestionario Internacional de Actividad Física (IPAQ, siglas en inglés), son las técnicas que pueden utilizarse para medir el nivel de actividad física en la población cubana(AU)

Introduction: Epidemiological studies about non-communicable diseases in Cuba require techniques that determine physical activity levels in a practical, valid, reliable and cost-effective manner. Objective: Characterize the techniques that measure the level of physical activity of questionnaires validated by movement sensors and that are applicable in the Cuban population. Methods: A search was conducted in the databases PubMed, Cochrane, LILACS and SciELO, using the descriptors physical activity, physical activity / measurement techniques, physical activity / questionnaire, physical inactivity and non-communicable diseases. The documents consulted had been published in the period 2014-2019. Data analysis and integration: A total 66 articles were identified, of which 36 were selected that contributed to the final result. A description was performed of the most relevant characteristics of each technique, as well as the similarities and differences between them. Determination was made of the appropriate technique to be used, based on criteria issued by article authors and referred authors. Conclusions: Pedometers and the short International Physical Activity Questionnaire (IPAQ) were selected as the techniques to be used to measure physical activity levels in the Cuban population(AU)

Validity of Two Wheelchair-Mounted Devices for Estimating Wheelchair Speed and Distance Traveled.

This study evaluated the validity of two wheelchair-mounted devices-the Cateye® and Wheeler-for monitoring wheelchair speed and distance traveled. Speed estimates were validated against a calibrated treadmill at speeds from 1.5 to 10 km/hr. Twenty-five wheelchair users completed a course of known distance comprising a sequence of everyday wheelchair activities. Speed estimate validity was very good (mean absolute percentage error ≤ 5%) for the Wheeleri at all speeds and for the Cateye at speeds >3 km/hr but not speeds <3 km/hr (mean absolute percentage error > 20%). Wheeleri distance estimates were good (mean absolute percentage error < 10%) for linear pushing activities and general maneuvering but poor for confined-space maneuvering. Cateye estimates were good for continuous linear propulsion but poor for discontinuous pushing and maneuvering (both general and confined space). Both devices provided valid estimates of speed and distance for typical wheelchair-based exercise activities. However, the Wheeleri provided more accurate estimates of speed and distance during typical everyday wheelchair activities.

Comparison of uniaxial and triaxial accelerometer outputs among individuals with and without Down syndrome.

BACKGROUND: Using uniaxial accelerometry approach in measuring physical activity levels of individuals with Down syndrome (DS) might underestimate their energy expenditure due to the unique mediolateral walking pattern. Therefore, the purpose of this study was to examine and compare the relationship between two types of accelerometer outputs, uniaxial and triaxial, and energy expenditure in individuals with and without DS. METHODS: Eighteen participants with DS and 19 participants without DS wore a GT3X+ accelerometer and a portable metabolic system in three different walking conditions. RESULTS: Correlations between V̇O2 and each of the two accelerometer outputs (uniaxial: r = 0.75, triaxial: r = 0.75) were not significantly different among individuals without DS (z = 0.14, P = 0.89); however, significant differences in the relationship between V̇O2 and accelerometer outputs (uniaxial: r = 0.53, triaxial: r = 0.64) were observed among individuals with DS (z = -1.72, P < 0.046). CONCLUSIONS: The findings suggest that when using accelerometers to measure physical activity levels for individuals with DS, triaxial outputs may better predict physical activity levels.

Responsiveness of Device-Based and Self-Report Measures of Physical Activity to Detect Behavior Change in Men Taking Part in the Football Fans in Training (FFIT) Program.

The capacity of physical activity (PA) measures to detect changes in PA within interventions is crucial. This is the first study to examine the responsiveness of activPAL3™ and the International Physical Activity Questionnaire (IPAQ; Short Form) in detecting PA change during a 12-week group-based, men-only weight management program-Football Fans in Training (FFIT). Participants wore an activPAL3™ and completed the IPAQ pre- and post-program (n = 30). Relationships between change scores were assessed by Spearman's correlations. Mean or median changes in PA were measured using paired samples t-tests and Wilcoxon signed-rank tests. Responsiveness to change was assessed utilizing Standardized Response Mean (SRM). Both device-based and self-report measures demonstrated significant changes pre-post intervention, although these changes were not significantly correlated. The SRM values for changes in activPAL3™ metrics were: 0.54 (MET-mins/day); 0.53 (step counts/day); and 0.44 (MVPA/day), indicating a small to medium responsiveness to change. SRM values for changes in IPAQ scores were: 0.59 (for total PA mins/day); 0.54 (for total MET-mins/day); 0.59 (for walking MET-mins/day); 0.38 (for vigorous MET-mins/day); and 0.38 (for moderate MET-mins/day), revealing a small to medium responsiveness to change. These findings reveal that two commonly used device-based and self-report measures demonstrated responsiveness to changes in PA. While inclusion of both device-based and self-report measures is desirable within interventions it is not always feasible. The results from this study support that self-reported measures can detect PA change within behavioral interventions, although may have a tendency to overestimate changes compared with device-based measures on absolute values, but not standardized response values.

Bi-directional prospective associations between objectively measured physical activity and fundamental motor skills in children: a two-year follow-up.

BACKGROUND: The direction of the longitudinal relationship between physical activity (PA) and fundamental motor skills (FMS) remains unclear. We evaluated the bi-directional, prospective relationships between intensity-specific physical activity (PA) and domain-specific fundamental motor skills (FMS) over 2 years in children attending preschool at baseline. METHODS: A sample of 230 children (mean age at baseline 4.7 yr, 52% boys) from the 'Sogn og Fjordane Preschool Physical Activity Study' was measured 2 years apart. PA was assessed using ActiGraph accelerometers (GT3X+). FMS were evaluated by a test battery guided by the 'Test of Gross Motor Development 3' and the 'Preschooler Gross Motor Quality Scale'. PA outcomes were total PA (TPA [counts per minute]) and intensity specific PA and sedentary behaviour (SED) (min/day). FMS outcomes were locomotor, object control, and balance skills. Linear mixed model adjusting for potential co-variates was used to evaluate the bi-directional prospective associations between these variables, including the moderating effect of sex and age. RESULTS: Baseline total PA, moderate-to-vigorous PA (MVPA), and vigorous PA predicted higher locomotor, object control, and balance skills at follow-up (standardized regression coefficient (ß): 0.17 to 0.26, p = 0.002-0.017). Baseline SED predicted lower locomotor skills at follow-up (ß: - 0.27, p = 0.012). Baseline light PA did not predict FMS at follow-up. Baseline FMS were not associated with PA or SED at follow-up. CONCLUSIONS: MVPA was positively associated with development of FMS in young children. In contrast, FMS were not related to future PA levels. Our results suggest promotion of MVPA is important for FMS development in young children.

Validity and Reliability of a Single Question for Leisure-Time Physical Activity Assessment in Middle-Aged Women.

PURPOSE: To investigate the validity and test-retest reliability of a single seven-level scale physical activity assessment question (SR-PA L7) and its three-level categorization (SR-PA C3). METHODS: The associations of SR-PA L7 and C3 with accelerometer-measured leisure-time physical activity (ACC-LTPA) and with the results of four different physical performance tests (6-min walk [n = 733], knee extension [n = 695], vertical jump [n = 731], and grip force [n = 780]) were investigated among women aged 47-55 years participating in the Estrogenic Regulation of Muscle Apoptosis study (n = 795). The reliability was studied using Spearman correlations with 4-month test-retest period (n = 152). RESULTS: SR-PA L7 and C3 had low correlations with ACC-LTPA (rs = .105-.337). SR-PA L7, SR-PA C3, and ACC-LTPA explained comparable but small amount of variance of the physical performance test results. The reliability analysis provided moderate agreement (rs = .707 and .622 for SR-PA L7 and C3, respectively). CONCLUSIONS: SR-PA L7 and C3 demonstrated limited validity and reasonable repeatability.

The Physical Activity Questionnaire for the Elderly (PAQE): A Polish Adaptation.

The aim of the study is to assess the reliability and validity of the Polish adaptation of the Physical Activity Questionnaire for the Elderly (PAQE-PL). One hundred and four older adults (75 women and 29 men) aged 65 to 89 (mean 72.2 ± 5.7 years) participated in the study. The test-retest procedure was used to evaluate the reliability of the PAQE-PL. Validity was assessed by comparing the results of the PAQE-PL with the measurements from an accelerometer (ActiGraph wGT3X+) and two questionnaires: the Polish version of the Community Healthy Activities Model Program for Seniors (CHAMPS-PL) and the Polish version of the Yale Physical Activity Survey (YPAS-PL). All test-retest interclass correlation coefficients (ICCs) were significant (ranged from 0.64 to 0.92). The long-term stability showed significant ICCs (ranged from 0.38 to 0.87) for all participants. In regard to validity, the obtained correlation coefficients were relatively low but statistically significant for all participants between the PAQE-PL scores and energy expenditure (r ranging from 0.25 to 0.26) measured by the accelerometer. The PAQE-PL correlated with almost all CHAMPS-PL indices, YPAS-PL energy expenditure, and total physical activity time. The results suggest that the adaptation of the PAQE-PL is an acceptable tool to estimate the physical activity level among older adults in the Polish population. We recommend the cautious and well-thought-out use of the PAQE-PL with a population of older women.

Polish Adaptation of the Yale Physical Activity Survey: Measurement Properties.

The aim of this study was to assess the measurement properties of a Polish adaptation of the Yale Physical Activity Survey (YPAS-PL). The Polish cultural adaptation of the YPAS was administered to a group of 104 people aged 65 to 89 years (mean age 72 ± 5). To assess the reliability of the YPAS-PL, a test-retest procedure was applied. Validity was assessed by comparing the results of the YPAS-PL with accelerometery (ActiGraph wGT3X+). The indicators based on the YPAS-PL activities checklist were characterized by high repeatability and had better reliability values than the YPAS-PL activity dimension indices (energy expenditure interclass correlation coefficient (ICC) = 0.81, total time physical activity ICC = 0.86). We noted a significant positive relationship between energy expenditure measured by an accelerometer and the YPAS-PL (r = 0.23). We can conclude that the YPAS-PL is an adequate tool for assessing energy expenditure related to physical activity in a Polish population of older adults. We also recommend the cautious and well thought-out use of the YPAS-PL activity dimension indices (summary, vigorous, leisurely walking, moving, standing, and sitting indexes).

Can Off-Training Physical Behaviors Influence Recovery in Athletes? A Scoping Review.

Recently, the attention on recovery in sport increased enormously although there is lack of scientific evidence on the role of lifestyle in terms of movement [i.e., physical behaviors (PBs)], apart from sleep. Few studies assessed physical activity (PA) and sedentary behavior (SB) in athletes. The aims of this scoping review were to answer to the following scientific questions: (1) How active/inactive are competitive athletes out of training? (2) Do off-training PBs affect recovery, performance, and health? (3) What strategies can be implemented to improve recovery using off-training PBs, apart from sleep? From 1,116 potentially relevant articles, nine were eligible for inclusion in this review. The main issues identified were related to the heterogeneity concerning the types of sports, age category, gender, competitive level, sample size, and instruments/devices adopted, the paucity of studies investigating the effects of PBs while awake on recovery, and the lack of experimental designs manipulating PBs while awake to accelerate recovery. Furthermore, PA and SB domains were rarely investigated, while no research articles focused on the combined effect of 24-h PBs. Eight out of nine studies measured PA, seven SB, and two included sleep. Three studies included training practice into PA measurement by the means of accelerometry. Overall, almost the totality of the athletes achieved recommended PA levels although they sustained prolonged SB. In conclusion, more descriptive researches are needed in different athletic populations and settings. Furthermore, experimental designs aimed at investigating the effects of PBs manipulation on recovery and the putative mechanisms are encouraged.

A closer look at the relationship among accelerometer-based physical activity metrics: ICAD pooled data.

BACKGROUND: Accelerometers are widely used to assess child physical activity (PA) levels. Using the accelerometer data, several PA metrics can be estimated. Knowledge about the relationships between these different metrics can improve our understanding of children's PA behavioral patterns. It also has significant implications for comparing PA metrics across studies and fitting a statistical model to examine their health effects. The aim of this study was to examine the relationships among the metrics derived from accelerometers in children. METHODS: Accelerometer data from 24,316 children aged 5 to 18 years were extracted from the International Children's Accelerometer Database (ICAD) 2.0. Correlation coefficients between wear time, sedentary behavior (SB), light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate- and vigorous-intensity PA (MVPA), and total activity counts (TAC) were calculated. RESULTS: TAC was approximately 22X103 counts higher (p < 0.01) with longer wear time (13 to 18 h/day) as compared to shorter wear time (8 to < 13 h/day), while MVPA was similar across the wear time categories. MVPA was very highly correlated with TAC (r = .91; 99% CI = .91 to .91). Wear time-adjusted correlation between SB and LPA was also very high (r = -.96; 99% CI = -.96, - 95). VPA was moderately correlated with MPA (r = .58; 99% CI = .57, .59). CONCLUSIONS: TAC is mostly explained by MVPA, while it could be more dependent on wear time, compared to MVPA. MVPA appears to be comparable across different wear durations and studies when wear time is ≥8 h/day. Due to the moderate to high correlation between some PA metrics, potential collinearity should be addressed when including multiple PA metrics together in statistical modeling.

Changes in physical activity during hospital admission for chronic respiratory disease.

BACKGROUND AND OBJECTIVE: Establishing the amount of inpatient physical activity (PA) undertaken by individuals hospitalized for chronic respiratory disease is needed to inform interventions. This observational study investigated whether PA changes when a person is an inpatient, how long is required to obtain representative PA measures and whether PA varies within a day and between patients of differing lengths of stay. METHODS: A total of 389 participants were recruited as early as possible into their hospitalization. Patients wore a PA monitor from recruitment until discharge. Step count was extracted for a range of wear time criteria. Single-day intraclass correlation coefficients (ICC) were calculated, with an ICC ≥ 0.80 deemed acceptable. RESULTS: PA data were available for 259 participants. No changes in daily step count were observed during the inpatient stay (586 (95% CI: 427-744) vs 652 (95% CI: 493-812) steps/day for day 2 and 7, respectively). ICC across all wear time criteria were > 0.80. The most stringent wear time criterion, retaining 80% of the sample, was ≥11 h on ≥1 day. More steps were taken during the morning and afternoon than overnight and evening. After controlling for the Medical Research Council (MRC) grade or oxygen use, there was no difference in step count between patients admitted for 2-3 days (short stay) and those admitted for 7-14 days (long stay). CONCLUSION: Patients move little during their hospitalization, and inpatient PA did not increase during their stay. A wear time criterion of 11 waking hours on any single day was representative of the entire admission whilst retaining an acceptable proportion of the initial sample size. Patients may need encouragement to move more during their hospital stay.

An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

BACKGROUND: Physical behavior researchers using motion sensors often use acceleration summaries to visualize, clean, and interpret data. Such output is dependent on device specifications (e.g., dynamic range, sampling rate) and/or are proprietary, which invalidate cross-study comparison of findings when using different devices. This limits flexibility in selecting devices to measure physical activity, sedentary behavior, and sleep. PURPOSE: Develop an open-source, universal acceleration summary metric that accounts for discrepancies in raw data among research and consumer devices. METHODS: We used signal processing techniques to generate a Monitor-Independent Movement Summary unit (MIMS-unit) optimized to capture normal human motion. Methodological steps included raw signal harmonization to eliminate inter-device variability (e.g., dynamic g-range, sampling rate), bandpass filtering (0.2-5.0 Hz) to eliminate non-human movement, and signal aggregation to reduce data to simplify visualization and summarization. We examined the consistency of MIMS-units using orbital shaker testing on eight accelerometers with varying dynamic range (±2 to ±8 g) and sampling rates (20-100 Hz), and human data (N = 60) from an ActiGraph GT9X. RESULTS: During shaker testing, MIMS-units yielded lower between-device coefficient of variations than proprietary ActiGraph and ENMO acceleration summaries. Unlike the widely used ActiGraph activity counts, MIMS-units were sensitive in detecting subtle wrist movements during sedentary behaviors. CONCLUSIONS: Open-source MIMS-units may provide a means to summarize high-resolution raw data in a device-independent manner, thereby increasing standardization of data cleaning and analytical procedures to estimate selected attributes of physical behavior across studies.