Community Culture Survey - Revised: Measuring neighborhood culture and exploring geographic, socioeconomic, and cultural determinants of health in samples across the United States and in Thailand.

Objectives: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health. Study design: A survey research design with correlational analyses was used. Methods: A survey packet including the Community Culture Survey - Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes. Results: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participant's demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participant's age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants' overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDC's measures of social vulnerability. Conclusions: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.

Heartbeats and high scores: esports triggers cardiovascular and autonomic stress response.

Introduction: Gaming is often labeled as sedentary behavior. However, competitive gaming, also known as esports, involves significant cognitive demands and may induce stress. This study aims to investigate whether the psychophysical demands during esports elicit a physiological stress response. Methods: Fourteen FIFA 21 and thirteen League of Legends players (23.3 ± 2.8 years) were recruited for the study. Heart rate (HR), root mean square of successive differences between normal heartbeats (RMSSD), peripheral and central blood pressure (BP), pulse wave velocity (PWV), and energy expenditure (EE) were assessed during supine rest, seated rest, and competitive FIFA or League of Legends matches. Results: No significant group × condition interactions were observed for any of the outcomes. However, there were significant increases in mean HR (p < 0.001, ηp2 = 0.383), RMSSD (p = 0.019, ηp2 = 0.226), peripheral systolic BP (p < 0.001, ηp2 = 0.588), peripheral diastolic BP (p = 0.005, ηp2 = 0.272), central systolic BP (p = 0.005; ηp2 = 0.369), central diastolic BP (p = 0.016, ηp2 = 0.313), PWV (p = 0.004, ηp2 = 0.333), and EE (p < 0.001, ηp2 = 0.721) during both games compared to the seated rest condition. Conclusion: Despite the sedentary nature of esports, the psychophysical demands appear to elicit physiological responses. Interestingly, no significant differences were found between the different game genres.

Comparative Analysis of Physical Activity, Performance-Related Health, and Academic Achievements in 11-to-13-Year-Old Schoolchildren in Qatar.

Age-related differences in physical activity (PA), maturity status (PHV), physical performance (PP), and academic achievement (AA) among schoolchildren in Qatar were examined. Sixty-nine students from a school in Doha were categorized into three equal (n = 23) groups: 11-year-old students (U11; male: n = 14), 12-year-old students (U12: male: n = 7), and 13-year-old students (U13: male: n = 11). The testing process comprised a medicine ball throw, Stork balance test, hand grip strength test, the T-half test (PP), GPA in Arabic, mathematics, science (AA), International Physical Activity Questionnaire Short Form (PA), and Moore's equations (PHV). Relevant age-related differences (p < 0.001) were identified in mathematics, science, the T-half test, maturity, and arm span. Notably, differences between adjacent age groups were evident between U11 and U12, concerning arm span, maturity, mathematics, and science, and between U12 and U13 (the T-half test, mathematics, science). Concerning AP, the performance maxima were calculated for U12 (mathematics, science) and U11 (Arabic). Regarding PP, performance maxima were only observed for U13. Except for the moderate level, the highest levels of PA were detected in U13. Maturity status and anthropometric parameters did not differ significantly between age groups. However, AA demonstrated the most notable age-related differences. Specifically, mathematics showed substantial differences between adjacent age groups.

Differences in Physical Activity, Sedentary Behavior, Health-Related Physical Performance Indices and Academic Achievement: A Comparative Study of Normal-Weight and Obese Children in Qatar.

Background: The relationship between physical activity (PA), health-related physical performance (PP), and academic achievement (AA) plays an important role in childhood. This study examined the differences in PA, sedentary behavior, health-related PP, maturity status, and AA between normal-weight and obese school children in Qatar. Methods: Eighty schoolchildren were recruited (age: 12.1 ± 0.6 years). Based on age-specific BMI percentiles, the children were classified as normal weight (n = 40) or obese (n = 40). Moore's equations were used to estimate their maturity status (PHV). The measurements encompassed anthropometric data as well as PP tests (medicine ball throw, postural stability, handgrip strength). AA was assessed by reviewing school records for grade point average in Mathematics, Science, and Arabic courses. The total amount of time spent participating in PA each week was calculated using the International Physical Activity Questionnaire Short Form. Results: Handgrip strength was the only parameter that showed a relevant group difference (p < 0.001, ηp2 = 0.15; normal weight: 19.7 ± 3.46 N; obese: 21.7 ± 2.80 N). We found only one moderate correlation between PHV and handgrip strength (r = 0.59). Conclusions: The findings suggest that obesity status alone might not serve as a sufficient predictor of AA in school or PA levels.

Effects of a training intervention tailored to the menstrual cycle on endurance performance and hemodynamics.

BACKGROUND: This study aimed to compare the effects of block periodized training and training adapted to the menstrual cycle (MC) phases on endurance performance, cardiovascular parameters, recovery, and MC-related symptoms in active females. METHODS: Fourteen naturally menstruating, moderately trained females (age: 24±3 years; BMI: 22.3±2.7) were randomized into an intervention (INT) and a control (CON) group. Throughout an 8-week intervention period, both groups participated in a polarized training program. In the INT, the training sessions were adapted to the MC with higher training loads within the mid and late follicular phase. Before and after the intervention maximal oxygen consumption (VO2max), velocity and heart rate at ventilatory thresholds one and two (vVT1, vVT2, hrVT1, hrVT2), systolic and diastolic blood pressure (sBP, dBP), root mean square of successive RR interval differences (RMSSD), standard deviation of NN intervals (SDNN), pulse wave velocity (PWV), and the premenstrual assessment form (PAF) were assessed. RESULTS: There were no significant time × group interaction effects in all physiological parameters (VO2max: P=0.890; vVT1: P=1.000; hrVT1: P=0.464; vVT2: P=0.356; hrVT2: P=0.762 sBP: P=0.948; dBP: P=0.203; RMSSD: P=0.257; SDNN: P=0.241; PWV: P=0.818), or psychological parameters (PAF: P=0.745). CONCLUSIONS: Tailoring a polarized training program to the MC did not augment training responses compared to a regular training program in active females. However, a substantial portion of the training intervention in the CON was coincidentally matched to the MC.

Acute self-myofascial release modulates cardiac autonomic function and hemodynamic parameters at rest and reduces cardiovascular stress reaction.

PURPOSE: Self-myofascial release (SMR) is a form of self-massage aiming to release tension, improve blood flow, and alleviate muscle soreness. This study aimed to determine whether a single session of SMR could impact cardiovascular parameters at rest and during a cold pressor test (CPT). METHODS: Twenty male participants (aged 26 ± 2 years) underwent a 20-min SMR and a 20-min seated control condition (CON) on two separate test days in a randomized order. Peripheral and central blood pressure (BP), total peripheral resistance (TPR), pulse wave velocity (PWV), heart rate (HR), root mean square of successive RR interval differences (RMSSD), and the quotient of low-frequency power and high-frequency power (LF/HF) were measured both at rest and during a CPT before (t0), 2 min (t1), and 20 min (t2) after the SMR and CON. RESULTS: Time × condition interactions could be detected for peripheral and central diastolic BP, TPR, HR, and RMSSD. Following the SMR, peripheral diastolic BP, central diastolic BP, TPR, and RMSSD were reduced, while HR was increased compared to the CON. Regarding the CPT time × condition interactions could be detected for peripheral, and central diastolic BP, with lower values after SMR. CONCLUSION: The results of the present study suggest that a single bout of SMR confers favorable cardiovascular benefits in healthy normotensive individuals. Furthermore, SMR can attenuate the hemodynamic reactivity to a stress test. Future research should address whether regular SMR leads to chronic adaptations similar to regular, moderate aerobic exercise, massage therapy, and static stretching.

The effectiveness of the Wim Hof method on cardiac autonomic function, blood pressure, arterial compliance, and different psychological parameters.

The Wim Hof method (WHM) is a multi-disciplinary approach to physical and mental well-being combining cold exposure, breathing exercises, and meditation. This study evaluated the effects of a 15 days WHM intervention on cardiovascular parameters at rest and during a cold pressor test (CPT), as well as on various psychological parameters. Forty two participants were randomized into an intervention (IG) and a control group. Throughout the 15 days intervention, the IG performed the WHM daily. Before and after the intervention, systolic (SBP) and diastolic blood pressure (DBP), pulse wave velocity (PWV), heart rate (HR), root mean sum of squared distance (RMSSD), and standard deviation of RR-intervals (SDNN) were assessed at rest and during a CPT. Furthermore, perceived stress (PSS), positive affect (PANAS+), negative affect (PANAS-), and subjective vitality (trait (SVSt) and state (SVSs)) was determined. No significant time × group interactions could be detected in HR (p = 0.709); RMSSD (p = 0.820), SDNN (p = 0.186), SBP (p = 0.839), DBP (p = 0.318), PWV (p = 0.983), PANAS+ (p = 0.427), PANAS- (p = 0.614), SVSt (p = 0.760), SVSs (p = 0.366), and PSS (p = 0.364). No significant time × group effects could be detected during the CPT (ΔHR: p = 0.596; ΔSBP: p = 0.366; ΔDBP: p = 0.999; ΔPWV: p = 0.635; perceived pain: p = 0.231). Performing the WHM daily did not exert positive effects on cardiovascular and psychological parameters.

Physiological Demands of Exergames in Older Adults-A Systematic Literature Review.

New approaches are needed to address low physical activity levels among older adults and to promote daily physical activity tailored to their interests and abilities. This study aimed to review the current literature analyzing the physiological demands of exergames in older adults. A systematic database search was conducted in October 2020 and March 2022. A total of 3,540 studies were screened, and 16 were incorporated into the data analysis. The studies included 527 participants, 61% female, with a mean age of 72.3 ± 4.7 years. Analyzed physiological parameters included mean heart rate, rate of perceived exertion, and metabolic equivalents or oxygen uptake. Exergames are capable of offering light- to moderate-intensity activity for older adults (mean heart rate: 108 ± 9.1 bpm; mean rate of perceived exertion: 11.5 ± 1.8; metabolic equivalents: 2.7 ± 0.7). Although implications are positive, high diversity was found in the study design according to intervention duration and assessment of physiological parameters.

Effects of inpatient energy management education and high-intensity interval training on health-related quality of life in persons with multiple sclerosis: A randomized controlled superiority trial with six-month follow-up.

BACKGROUND: Fatigue is one of the most frequent symptoms in persons with multiple sclerosis (pwMS) and impacts health-related quality of life (HRQoL). A multidisciplinary rehabilitation approach is recommended for the treatment of fatigue in pwMS. However, high-quality evidence exists only for unimodal interventions, such as physical therapies/exercise or energy/fatigue management programmes. The primary objective of the current study was to test the hypothesis that a combination of inpatient energy management education (IEME) and high-intensity interval training (HIIT) is superior to a combination of progressive muscle relaxation (PMR) and moderate continuous training (MCT) for improving HRQoL at 6-month follow-up in fatigued pwMS. METHODS: A randomized (1:1) controlled superiority trial with fatigued pwMS >18 years of age, with Expanded Disability Status Scale (EDSS) score ≤6.5, recruited at the Valens clinic, Switzerland. Participants in the experimental group performed IEME twice and HIIT 3 times per week and those in the usual care group performed PMR twice and MCT 3 times per week, during a 3-week inpatient rehabilitation stay. Primary outcome was HRQoL (Physical and Mental Component Scales of the Medical Outcome Study 36-item Short Form Health Survey (SF-36)), assessed at entry to the clinic (T0), after 3 weeks' rehabilitation (T1) and 4 (T2) and 6 (T3) months after T0. Secondary outcomes included SF-36 subscales, fatigue (Fatigue Scale for Motor and Cognitive Functions (FSMC)), mood (Hospital Anxiety and Depression Scale (HADS)), self-efficacy for performing energy conservation strategies (Self-Efficacy for Performing Energy Conservation Strategies Assessment (SEPECSA)), self-perceived competence in activities of daily living (Occupational Self Assessment (OSA)) and cardiorespiratory fitness (peak oxygen consumption (VÈ®2peak)). Data were analysed using a mixed model for repeated measures approach. RESULTS: A total of 106 pwMS (age (years): 49.75 (9.87), 66% female, EDSS: 4.64 (1.32)) were recruited. There were no significant group × time interaction effects in the primary and secondary outcomes. There were significant between-group differences in the pairwise comparisons of the group × time interaction in favour of the IEME + HIIT group at: (i) T1 in cardiorespiratory fitness (p = 0.011) and SEPECSA (p = 0.032); (ii) T2 in SF-36 mental health subscale (p = 0.022), HADS anxiety subscale (p = 0.014) and SEPECSA (p = 0.040); (iii) T3 in SF-36 physical functioning subscale (p = 0.012) and SEPECSA (p = 0.003). CONCLUSION: IEME + HIIT was not superior to PMR + MCT regarding the effects on HRQoL (SF-36 Physical and Mental Component Scales) at 6-month follow-up in pwMS. However, there were significant between-group differences in favour of IEME + HIIT in physical functioning and mental health (SF-36 subscales), anxiety (HADS), cardiorespiratory fitness (VÈ®2peak) and self-efficacy (SEPECSA) at different measurement time-points that need to be considered in clinical practice.

Challenging the Portrait of the Unhealthy Gamer-The Fitness and Health Status of Esports Players and Their Peers: Comparative Cross-Sectional Study.

BACKGROUND: Esports players are often referred to as sedentary athletes, as gaming requires prolonged sedentary screen exposure. As sedentary behavior and physical inactivity are major causes of noncommunicable diseases and premature death, esports players may be at an increased risk for health implications. Prior research has established esports players as having higher levels of body fat and lower levels of lean body mass versus age-matched controls, suggesting the need to assess further health and fitness outcomes of this demographic. However, while research interest is undoubtedly increasing, the majority of studies has focused on subjective self-report data and has lacked relevant objective health and fitness measurements. OBJECTIVE: This study aimed to assess the health and fitness status of a group of competitive esports players in relation to an age- and sex-matched comparison group. METHODS: In total, 51 competitive esports players (mean 23, SD 3 years, 2 female) and 51 nonesports players (mean 24, SD 3 years, 2 female) were enrolled in this cross-sectional laboratory study. The esports players and the nonesports players completed a questionnaire assessing demographic data and self-reported physical activity levels. Furthermore, physical parameters including BMI, waist-to-height ratio, body fat percentage, systolic blood pressure, diastolic blood pressure, pulse wave velocity, maximal grip strength, and maximal oxygen consumption were assessed. RESULTS: There were no significant differences in BMI (t100=1.54; P=.13; d=0.30), waist-to-height ratio (t100=1.44; P=.16; d=0.28), body fat percentage (t100=-0.48; P=.63; d=-0.09), systolic blood pressure (t100=-0.06; P=.93; d=-0.01), diastolic blood pressure (t100=0.37; P=.71; d=0.07), pulse wave velocity (t93=-2.08; P=.15; d=-0.43), maximal grip strength (t100=-.08; P=.94; d=-0.02), maximal oxygen consumption (t100=-0.11; P=.92; d=-0.02), and physical activity (PA) levels (t86=2.17; P=.08; d=0.46) between the groups. CONCLUSIONS: While the health narrative directed toward esports players has been mainly negative, this laboratory-based study indicated that esports players are not less healthy or fit compared to their peers. However, it seems that esports players are very heterogeneous and seem to span across the whole range of the fitness and health spectrum. Thus, the generalized statements of the esports athlete as an obese and unhealthy individual may need to be reconsidered.

Effectiveness of a participatory approach to develop school health interventions in four low resource cities: study protocol of the 'empowering adolescents to lead change using health data' cluster randomised controlled trial.

INTRODUCTION: Comprehensive local data on adolescent health are often lacking, particularly in lower resource settings. Furthermore, there are knowledge gaps around which interventions are effective to support healthy behaviours. This study generates health information for students from cities in four middle-income countries to plan, implement and subsequently evaluate a package of interventions to improve health outcomes. METHODS AND ANALYSIS: We will conduct a cluster randomised controlled trial in schools in Fez, Morocco; Jaipur, India; Saint Catherine Parish, Jamaica; and Sekondi-Takoradi, Ghana. In each city, approximately 30 schools will be randomly selected and assigned to the control or intervention arm. Baseline data collection includes three components. First, a Global School Health Policies and Practices Survey (G-SHPPS) to be completed by principals of all selected schools. Second, a Global School-based Student Health Survey (GSHS) to be administered to a target sample of n=3153 13-17 years old students of randomly selected classes of these schools, including questions on alcohol, tobacco and drug use, diet, hygiene, mental health, physical activity, protective factors, sexual behaviours, violence and injury. Third, a study validating the GSHS physical activity questions against wrist-worn accelerometry in one randomly selected class in each control school (n approximately 300 students per city). Intervention schools will develop a suite of interventions using a participatory approach driven by students and involving parents/guardians, teachers and community stakeholders. Interventions will aim to change existing structures and policies at schools to positively influence students' behaviour, using the collected data and guided by the framework for Making Every School a Health Promoting School. Outcomes will be assessed for differential change after a 2-year follow-up. ETHICS AND DISSEMINATION: The study was approved by WHO's Research Ethics Review Committee; by the Jodhpur School of Public Health's Institutional Review Board for Jaipur, India; by the Noguchi Memorial Institute for Medical Research Institutional Review Board for Sekondi-Takoradi, Ghana; by the Ministry of Health and Wellness' Advisory Panel on Ethics and Medico-Legal Affairs for St Catherine Parish, Jamaica, and by the Comité d'éthique pour la recherche biomédicale of the Université Mohammed V of Rabat for Fez, Morocco. Findings will be shared through open access publications and conferences. TRIAL REGISTRATION NUMBER: NCT04963426.

Assessment of 24-hour physical behaviour in adults via wearables: a systematic review of validation studies under laboratory conditions.

BACKGROUND: Wearable technology is used by consumers and researchers worldwide for continuous activity monitoring in daily life. Results of high-quality laboratory-based validation studies enable us to make a guided decision on which study to rely on and which device to use. However, reviews in adults that focus on the quality of existing laboratory studies are missing. METHODS: We conducted a systematic review of wearable validation studies with adults. Eligibility criteria were: (i) study under laboratory conditions with humans (age ≥ 18 years); (ii) validated device outcome must belong to one dimension of the 24-hour physical behavior construct (i.e., intensity, posture/activity type, and biological state); (iii) study protocol must include a criterion measure; (iv) study had to be published in a peer-reviewed English language journal. Studies were identified via a systematic search in five electronic databases as well as back- and forward citation searches. The risk of bias was assessed based on the QUADAS-2 tool with eight signaling questions. RESULTS: Out of 13,285 unique search results, 545 published articles between 1994 and 2022 were included. Most studies (73.8% (N = 420)) validated an intensity measure outcome such as energy expenditure; only 14% (N = 80) and 12.2% (N = 70) of studies validated biological state or posture/activity type outcomes, respectively. Most protocols validated wearables in healthy adults between 18 and 65 years. Most wearables were only validated once. Further, we identified six wearables (i.e., ActiGraph GT3X+, ActiGraph GT9X, Apple Watch 2, Axivity AX3, Fitbit Charge 2, Fitbit, and GENEActiv) that had been used to validate outcomes from all three dimensions, but none of them were consistently ranked with moderate to high validity. Risk of bias assessment resulted in 4.4% (N = 24) of all studies being classified as "low risk", while 16.5% (N = 90) were classified as "some concerns" and 79.1% (N = 431) as "high risk". CONCLUSION: Laboratory validation studies of wearables assessing physical behaviour in adults are characterized by low methodological quality, large variability in design, and a focus on intensity. Future research should more strongly aim at all components of the 24-hour physical behaviour construct, and strive for standardized protocols embedded in a validation framework.

Fourth-Grade Cooking and Physical Activity Intervention Reveals Associations With Cooking Experience and Sex.

OBJECTIVE: Examine the impact of Fuel for Fun: Cooking with Kids Plus Parents and Play (FFF) on children's culinary self-efficacy, attitude, fruit and vegetable (FV) preferences, physical activity (PA), and body mass index. DESIGN: Randomized controlled trial. SETTING: Eight elementary schools in 2 Northern Colorado districts. PARTICIPANTS: Fourth-grade students; 7-month interventions: school (S.FFF)-theory-based cooking + tasting lessons, active recess, lesson-driven cafeteria promotions; or school + family (S+F.FFF) with added family nights and home activities. MAIN OUTCOME MEASURE(S): Cooking self-efficacy and attitudes, FV preferences, PA, and measured height/weight. ANALYSIS: Individual outcomes nested by classroom, school, and district and assessed > 12 months with repeated measures controlled by sex and baseline cooking experience, with a significance level of P < 0.05. RESULTS: The sample included 1,428 youth, 38 teachers, 4 cohorts, 50% boys, 75% White, and 15% Hispanic. No intervention effect was observed. Those who cooked retained higher self-efficacy, attitude, and FV preferences (P < 0.001). Girls reported higher self-efficacy and attitude than boys. Moderate-to-vigorous PA and metabolic equivalent minutes increased for all students; boys retained higher levels (P < 0.001). Body mass index percentile remained stable. CONCLUSIONS AND IMPLICATIONS: Cooking and sex were associated with all outcome measures and should be considered for intervention tailoring. Treatment impacts were not evident nesting by classroom, school, and district. Accurate assessment of school-based interventions requires rejecting student independence from group assignment assumptions.

Fuel for Fun Process Evaluation Reveals Strong Implementation and Approval with Varied Parent Engagement.

OBJECTIVE: To describe the implementation and process characteristics of Fuel for Fun: Cooking with Kids Plus Parents and Play (FFF). DESIGN: Mixed methods. SETTING: Elementary schools in 2 Northern Colorado school districts. PARTICIPANTS: Fourth graders (aged 9-11 years), parents, school staff, and implementation researchers; measured over 2 consecutive years in 8 schools (851 students, 45 classrooms). INTERVENTION(S): Social Cognitive and active learning theory-based classroom cooking with tasting lessons, active recess games, cooking with tasting food promotion during school lunch, family nights, and take-home intervention reinforcements. A 7-month program delivered by a trained intervention team. MAIN OUTCOME MEASURE(S): Implementation measures (observations and debriefings) assessed context, reach, dose delivered, fidelity, and dose received; process measures (surveys) assessed student and parent perceptions and intervention participation. ANALYSIS: Descriptive statistics for quantitative and themes for qualitative data. RESULTS: Minor adjustments in program delivery plans were required to accommodate changes in school schedules and policies. Process measures demonstrated > 90% achievement of goals for nearly all child-centered activities. One-quarter of eligible families participated in evening events, with strong parent and student approval. Fifty out of 116 parents (43%) completing an online survey reported preparing ≥ 1 of 5 recipes with their child. Fifty-nine percent of eligible students completed >1 of 10 take-home activity sheets with their parents. CONCLUSIONS AND IMPLICATIONS: Engagement and commitment of the intervention team and school staff supported strong implementation. Participant responses were positive, but improvement in parent engagement requires investigation.

COVID-19: Sports activity and health-related quality of life of Swiss children and adolescents before and during the initial stay at home period.

The aim of this study was to investigate sports activity and health-related quality of life (HRQoL) of Swiss children and adolescents (7-16 years) during the national COVID-19 stay at home (SaH) period. In total, 237 parent-child pairs gave information about HRQoL and sports activity (duration and type) before and during SaH. Results show that sports activity decreased during SaH and was also positively related to HRQoL. These findings indicate that sports activity of children and adolescents should be promoted during SaH, for which innovative home-based interventions may be useful.

A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach.

BACKGROUND: The accuracy of movement determination software in current activity trackers is insufficient for scientific applications, which are also not open-source. OBJECTIVE: To address this issue, we developed an accurate, trainable, and open-source smartphone-based activity-tracking toolbox that consists of an Android app (HumanActivityRecorder) and 2 different deep learning algorithms that can be adapted to new behaviors. METHODS: We employed a semisupervised deep learning approach to identify the different classes of activity based on accelerometry and gyroscope data, using both our own data and open competition data. RESULTS: Our approach is robust against variation in sampling rate and sensor dimensional input and achieved an accuracy of around 87% in classifying 6 different behaviors on both our own recorded data and the MotionSense data. However, if the dimension-adaptive neural architecture model is tested on our own data, the accuracy drops to 26%, which demonstrates the superiority of our algorithm, which performs at 63% on the MotionSense data used to train the dimension-adaptive neural architecture model. CONCLUSIONS: HumanActivityRecorder is a versatile, retrainable, open-source, and accurate toolbox that is continually tested on new data. This enables researchers to adapt to the behavior being measured and achieve repeatability in scientific studies.

Self-expansion is positively associated with Fitbit-measured daily steps across 4-weeks.

The growth of the self-concept through increasing perspectives, identities, resources, and efficacy is known as self-expansion and typically involves novelty, challenge, interest, and/or excitement. Self-expansion is positively associated with health factors including self-reported physical activity (PA). This study is the first to investigate self-expansion and daily PA, and with a PA monitor. Fifty community participants completed baseline questionnaires, wore a Fitbit One and completed daily self-report questionnaires for 28 days, and completed follow-up questionnaires. Daily surveys included questions about both general and PA-specific self-expansion. Across the 4 weeks, steps taken was positively correlated with both general (all maximum likelihood r = 0.17) and PA-specific self-expansion (maximum likelihood rs of 0.15 and 0.16), and PA-specific self-expansion was positively correlated (maximum likelihood rs of 0.38 and 0.50) with aerobic activity. Future research should investigate this relationship in a larger more diverse sample and test whether PA-specific self-expansion can be utilized as an acceptable, feasible, and effective intervention to increase daily steps and other forms of PA.

Is healthcare a team sport? Widening our lens on interprofessional collaboration and education in sport and exercise medicine.

Effective interprofessional collaboration (IPC) has great potential to improve healthcare delivery. Therefore, students and trainees in healthcare professions should be prepared for a collaborative workforce through interprofessional education (IPE) settings. However, IPC and IPE are rarely addressed in sport and exercise medicine (SEM), although the field significantly impacts the healthcare system. Hence, we conducted a webinar to promote IPC and IPE in the Swiss SEM community. The lessons resulting from the webinar were: (1) professions involved in SEM should have opportunities to learn, with, from and about other professions in healthcare to achieve mutual respect and understanding; (2) IPC and IPE in SEM may raise awareness, value and recognition of the contributions by exercise scientists in healthcare; (3) IPC and IPE may consider collaborating with a variety of professions not traditionally integrated into healthcare but involved in broader public health and physical activity promotion. In summary, sports and exercise professions should embrace interprofessional approaches to better realise their contribution to healthcare and public health.

Interval Training in Sports Medicine: Current Thoughts on an Old Idea.

In light of the global physical inactivity pandemic, the increasing prevalence of non-committable diseases, and mounting healthcare costs, effective and feasible prevention and treatment approaches are urgently needed [...].

Assessment of 24-hour physical behaviour in children and adolescents via wearables: a systematic review of free-living validation studies.

Objectives: Studies that assess all three dimensions of the integrative 24-hour physical behaviour (PB) construct, namely, intensity, posture/activity type and biological state, are on the rise. However, reviews on validation studies that cover intensity, posture/activity type and biological state assessed via wearables are missing. Design: Systematic review. The risk of bias was evaluated by using the QUADAS-2 tool with nine signalling questions separated into four domains (ie, patient selection/study design, index measure, criterion measure, flow and time). Data sources: Peer-reviewed validation studies from electronic databases as well as backward and forward citation searches (1970-July 2021). Eligibility criteria for selecting studies: Wearable validation studies with children and adolescents (age <18 years). Required indicators: (1) study protocol must include real-life conditions; (2) validated device outcome must belong to one dimension of the 24-hour PB construct; (3) the study protocol must include a criterion measure; (4) study results must be published in peer-reviewed English language journals. Results: Out of 13 285 unique search results, 76 articles with 51 different wearables were included and reviewed. Most studies (68.4%) validated an intensity measure outcome such as energy expenditure, but only 15.9% of studies validated biological state outcomes, while 15.8% of studies validated posture/activity type outcomes. We identified six wearables that had been used to validate outcomes from two different dimensions and only two wearables (ie, ActiGraph GT1M and ActiGraph GT3X+) that validated outcomes from all three dimensions. The percentage of studies meeting a given quality criterion ranged from 44.7% to 92.1%. Only 18 studies were classified as 'low risk' or 'some concerns'. Summary: Validation studies on biological state and posture/activity outcomes are rare in children and adolescents. Most studies did not meet published quality principles. Standardised protocols embedded in a validation framework are needed. PROSPERO registration number: CRD42021230894.