Increased physical activity (PA), improved sleep, and decreased sedentary behavior (SB) are essential components of supportive care for cancer survivors. However, researchers and health care professionals have achieved limited success in improving these behaviors among cancer survivors. One potential reasoning is that, over the past two decades, guidelines for promoting and measuring PA, sleep, and SB have been largely siloed. With greater understanding of these three behaviors, health behavior researchers have recently developed a new paradigm: the 24-Hour movement approach. This approach considers PA, SB, and sleep as movement behaviors along a continuum that represent low through vigorous intensity activity. Together these three behaviors form the sum of an individual\'s movement across a 24-hour day. While this paradigm has been studied in the general population, its usage is still limited in cancer populations. Here, we seek to highlight (a) the potential benefits of this new paradigm for clinical trial design in oncology; (b) how this approach can allow for greater integration of wearable technology as a means of assessing and monitoring patient health outside the clinical setting, improving patient autonomy through self-monitoring of movement behavior. Ultimately, implementation of the 24-Hour movement paradigm will allow health behavior research in oncology to better promote and assess critical health behaviors to support the long-term well-being for cancer patients and survivors.

UNASSIGNED: Women treated for breast cancer are at risk for worsening health-related quality of life (QoL), cardiac function, and cardiorespiratory fitness.
UNASSIGNED: The aim of this study was to assess the associations of self-reported moderate to vigorous intensity physical activity (MVPA) during cancer treatment with concurrent measures of QoL and cardiac function and with post-treatment cardiorespiratory fitness in women with human epidermal growth factor receptor 2-positive breast cancer receiving sequential anthracyclines and trastuzumab.
UNASSIGNED: EMBRACE-MRI 1 (Evaluation of Myocardial Changes During Breast Adenocarcinoma Therapy to Detect Cardiotoxicity Earlier With MRI) study participants who completed questionnaires for MVPA (modified Godin Leisure Time Physical Activity Questionnaire) and QoL (EQ-5D-3L, Minnesota Living With Heart Failure Questionnaire) and cardiac imaging every 3 months during treatment and post-treatment cardiopulmonary exercise testing were included. Participants engaging in ≥90 minutes of MVPA each week were labeled \"active.\" Generalized estimation equations and linear regression analyses were used to assess concurrent and post-treatment associations with MVPA and activity status, respectively.
UNASSIGNED: Eighty-eight participants were included (mean age 51.4 ± 8.9 years). Mean MVPA minutes, QoL, and cardiac function (left ventricular ejection fraction, global longitudinal strain, E/A ratio, and E/e\' ratio) worsened by 6 months into trastuzumab therapy. Higher MVPA (per 30 minutes) during treatment was associated with better concurrent overall (β = -0.42) and physical (β = -0.24) Minnesota Living With Heart Failure Questionnaire scores, EQ-5D-3L index (β = 0.003), visual analogue scale score (β = 0.43), diastolic function (E/A ratio; β = 0.01), and global longitudinal strain (β = 0.04) at each time point (P ≤ 0.01 for all). Greater cumulative MVPA over the treatment period was associated with higher post-treatment cardiorespiratory fitness (peak oxygen consumption; β = 0.06 per 30 minutes; P < 0.001).
UNASSIGNED: Higher self-reported MVPA during treatment for human epidermal growth factor receptor 2-positive breast cancer was associated with better QoL and diastolic and systolic left ventricular function measures during treatment and better post-treatment cardiorespiratory fitness.

Decreased physical activity (PA) has been associated with residents living in neighborhoods perceived as being disordered or having high crime levels. What is unknown are the characteristics of individuals who engage in moderate to vigorous levels of PA (MVPA) despite living in these vulnerable neighborhoods, or who may be referred to as positive deviants (PD). We examined the factors associated with PD for PA among Jamaicans. Between 2016 and 2017 the Jamaica Health and Lifestyle Survey, a cross-sectional nationally representative survey (n = 2807), was conducted on individuals aged 15 years and older. Regression analyses were performed to identify associations with PD, defined using engagement in MVPA among persons living in vulnerable neighborhoods (N = 1710). Being female (odds ratio [OR]a = 0.64 (0.48, 0.86); p = 0.003), obese while living in an urban area (ORa = 0.39; 95 % CI = 0.26, 0.59; p < 0.0001), unemployed (ORa = 0.53; 95 % CI = 0.39, 0.73; p < 0.0001), or a student (ORa = 0.62; 95 % CI = 0.39, 0.98); p = 0.041) was associated with a significantly lower likelihood of PD, while having a personal medical history of at least one chronic disease significantly increased likelihood (ORa = 1.43; 95 % CI = 1.08, 1.90; p = 0.014). Taking a PD approach may be one angle to consider in trying to determine what is working and for whom, so that this may be harnessed in policy, prevention and intervention programming to increase PA.

Physical activity in children is associated with several cognitive benefits. Since children and adolescents spend an increasing amount of time engaged in sedentary behavior both at school and in their free time, movement breaks during class hours, in which students are physically active, may be beneficial for effective learning. The aim of this systematic research is to provide an overview of prospective studies investigating the influence of classroom-based physical activity (CB-PA) interventions on attention and on-task behavior in school-aged children and adolescents aged between 4 and 18 years. A systematic search of electronic databases (PubMed, Science Direct, PsycINFO, Ovid), according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, was performed from July 2020 to March 2021. Study characteristics data were analyzed and a methodological quality assessment, using a modified Downs and Black checklist, of both randomized and non-randomized studies was conducted. Overall, the available evidence points to a beneficial effect of exercise on attention and on-task behavior in a classroom setting. However, methodological differences concerning participants and duration and type of physical activity should be considered when comparing the results. Further studies with more comparable methodology are needed to provide a better understanding of the effect of CB-PA on attention and on-task behavior.

UNASSIGNED: To perform a systematic review of the literature to describe how the activPAL accelerometer has been used to measure physical activity (PA) in community-dwelling older adults to standardize collection of PA data in this population using this thigh-worn accelerometer.
UNASSIGNED: A comprehensive search of the following databases was completed: Cumulative Index to Nursing and Allied Health Complete, Embase, OVID Medicine, PubMed/Web of Science, and Scopus.
UNASSIGNED: Studies were included if published before August 1, 2020, were written in English, and used activPAL to measure PA in community-dwelling, noninstitutionalized adults 65 years or older. Titles and abstracts were independently reviewed, and the decision to include or exclude was made by 100% consensus.
UNASSIGNED: Three research team members independently extracted the data from included studies. Extracted data were compared and discussed with relevant information included. Study quality was assessed using the Quality Assessment Tool for Observational Cohort and Cross-sectional Studies.
UNASSIGNED: A total of 7 articles met the inclusion criteria. Three of the 7 studies used activPAL to report steps/d, ranging from 864-15847 steps/d. Time spent stepping or walking was reported by 4 studies using various units. Sit-to-stand transitions were reported by 4 studies, averaging 10-63 transitions/d. Sedentary time was assessed in 6 studies, whereas moderate to vigorous physical activity was not measured using activPAL in any study.
UNASSIGNED: The activPAL is most often used to collect data on step count and walking, sit-to-stand transitions, and sedentary time in community-dwelling older adults.

There are few known determinants of sedentary behaviour (SB) in children. We generated and compared profiles associated with risk of excess SB among children (n = 294) both at 8-10 and 10-12 years of age (Visits 1 and 2, respectively), using data from the QUebec Adipose and Lifestyle InvesTigation in Youth. Excess SB was measured by accelerometry and defined as >50% of total wear time at <100 counts/minutes. Recursive partitioning analyses were performed with candidate individual-, family-, and neighbourhood-level factors assessed at Visit 1, and distinct groups at varying risk of excess SB were identified for both timepoints. From the ages of 8-10 to 10-12 years, the prevalence of excess SB more than doubled (24.5% to 57.1%). At Visit 1, excess SB was greatest (73%) among children simultaneously not meeting physical activity guidelines, reporting >2 h/day of weekday non-academic screen time, living in low-dwelling density neighbourhoods, having poor park access, and living in neighbourhoods with greater disadvantage. At Visit 2, the high-risk group (70%) was described by children simultaneously not meeting physical activity guidelines, reporting >2 h/day of non-academic screen time on weekends, and living in neighbourhoods with low disadvantage. Risk factors related to individual lifestyle behaviours are generally consistent, and neighbourhood factors generally inconsistent, as children age from late childhood to pre-adolescence. Multiple factors from developmental, behavioural and contextual domains increase risk for excess sedentary behaviour; these warrant consideration to devise effective prevention or management strategies.

UNASSIGNED: To quantify the association between accelerometer-assessed physical activity and coronavirus disease 2019 (COVID-19) outcomes.
UNASSIGNED: Data from 82,253 UK Biobank participants with accelerometer data (measured 2013-2015), complete covariate data, and linked COVID-19 data from March 16, 2020, to March 16, 2021, were included. Two outcomes were investigated: severe COVID-19 (positive test result from in-hospital setting or COVID-19 as primary cause of death) and nonsevere COVID-19 (positive test result from community setting). Logistic regressions were used to assess associations with moderate to vigorous physical activity (MVPA), total activity, and intensity gradient. A higher intensity gradient indicates a higher proportion of vigorous activity.
UNASSIGNED: Average MVPA was 48.1 (32.7) min/d. Physical activity was associated with lower odds of severe COVID-19 (adjusted odds ratio per standard deviation increase: MVPA, 0.75 [95% CI, 0.67 to 0.85]; total, 0.83 [0.74 to 0.92]; intensity, 0.77 [0.70 to 0.86]), with stronger associations in women (MVPA, 0.63 [0.52 to 0.77]; total, 0.76 [0.64 to 0.90]; intensity, 0.63 [0.53 to 0.74]) than in men (MVPA, 0.84 [0.73 to 0.97]; total, 0.88 [0.77 to 1.01]; intensity, 0.88 [0.77 to 1.00]). In contrast, when mutually adjusted, total activity was associated with higher odds of a nonsevere infection (1.10 [1.04 to 1.16]), whereas the intensity gradient was associated with lower odds (0.91 [0.86 to 0.97]).
UNASSIGNED: Odds of severe COVID-19 were approximately 25% lower per standard deviation (∼30 min/d) MVPA. A greater proportion of vigorous activity was associated with lower odds of severe and nonsevere infections. The association between total activity and higher odds of a nonsevere infection may be through greater community engagement and thus more exposure to the virus. Results support calls for public health messaging highlighting the potential of MVPA for reducing the odds of severe COVID-19.

UNASSIGNED: To determine whether physical activity is associated with lower limb muscle size and strength within the general population.
UNASSIGNED: Six databases were systematically searched from inception using 3 main constructs: lower extremity, muscle volume, and muscle strength.
UNASSIGNED: Studies that measured physical activity (using either objective or subjective measurements), lower limb muscle size, and strength were included. Available discrete group data were standardized using previously published age- and sex-specific normative values prior to analysis.
UNASSIGNED: The final analysis included 47 studies from an initial yield of 5402 studies. Standardized scores for outcome measures were calculated for 97 discrete groups.
UNASSIGNED: As anticipated, lower limb muscle size was positively correlated with lower limb muscle strength (r=0.26, P<.01; n=4812). Objectively measured physical activity (ie, accelerometry, pedometry) (n=1944) was positively correlated with both lower limb muscle size (r=0.30, P<.01; n=1626) and lower limb strength (r=0.24, P<.01; n=1869). However, subjectively measured physical activity (ie, questionnaires) (n=3949) was negatively associated with lower limb muscle size (r=-0.59, P<.01; n=3243) and lower limb muscle strength (r=-0.48, P<. 01; n=3882).
UNASSIGNED: This review identified that objective measures of physical activity are moderately associated with lower limb muscle size and muscle strength and can, therefore, be used to predict muscle changes within the lower limbs associated with exercise-based rehabilitation programs.

Even the best school physical education programs fall short of providing enough physical activity (PA) to meet students\' PA guidelines thus increasing PA at other times throughout the school day could help students meet recommended PA levels. Unstructured leisure-time periods during the school day represent an opportunity to promote PA, particularly among students in underserved school districts. Between 2014 and 2018, we partnered with 14 elementary and 5 secondary schools in low-income Latino communities to increase students\' leisure time moderate to vigorous physical activity (MVPA). Schools received consultation and technical assistance on their wellness policy, and some created wellness committees. Schools selected 1-2 PA/nutrition promotion activities for the academic year. Following the System for Observing Play and Leisure Activity in Youth protocol, we conducted a pre- vs. post- analysis of observations of school time student PA (levels of MVPA, energy expenditure, proportion of areas in which games and sports were prominent) in 4936 pre-intervention play areas and 4404 post-intervention areas before school, during lunch recess, and after school. We utilized linear and logistic regression analyses to test pre/post changes in these dependent variables using school area characteristics, period of observation, and temperature as covariates. Following our intervention, MVPA levels before school, during lunch recess, and after school increased significantly from 19.8% at baseline to 25.6% among elementary girls and from 25.4% to 33.2% among elementary boys. Decomposition of these effects suggested that the benefits were partially mediated by increased adult playground supervision. We did not observe any significant changes in PA levels among secondary school girls or boys. Our school-level intervention aimed at promoting PA was associated with modest but meaningful increases in leisure-time PA among elementary, but not secondary, school students. The effects were attributable in part to increased adult supervision on the playground.

This study compared the effect of volunteer- and expert-led versions of a community-based weight-loss intervention in a non-randomized comparative trial conducted in Ibaraki, Japan from 2016 to 2017. Participants were 145 Japanese adults with overweightness or obesity, aged 20-69 years, with 77 in a volunteer-led group and 68 in an expert-led group. Both groups received the same program content and intervention period. Community volunteers were trained in four or five 3-hour training sessions while experts were highly trained and experienced professionals in the fields of exercise and nutrition prescription. Participants were also instructed to maintain a well-balanced, low-energy diet. The primary outcome measure was body weight change. In the volunteer- and expert-led groups, 58 of 77 (75%) and 61 of 68 (95%) participants completed the 12-week intervention, respectively. The mean (95% confidence interval, CI) weight loss of the volunteer-led group was 6.4 (95% CI: 5.6-7.2) kg, corresponding to 8.9% of initial body weight, while that of the expert-led group was 6.3 (95% CI: 5.5-7.1) kg, corresponding to 8.2% of the initial body weight. The proportion of participants who completed the course was significantly higher in the expert-led group (P < 0.05); however, the degree of the body weight change was similar for both groups. With improvement in the completion proportion of the volunteer-led weight-loss interventions, such programs could be an alternative strategy for the wide-scale dissemination of low-cost obesity management.