Journal of physical activity & health最新文献

Background: Interorganization partnerships are important for the development and knowledge mobilization of national health behavior guidelines. However, little is known about how to improve the dissemination of guidelines across professional networks. Social network analysis may offer unique insight into the social structure of interorganization networks and provide guidance for how network features may be harnessed for effective dissemination. The objectives of this study were to apply social network analysis to (1) analyze the connectedness of organizations and/or subgroups within a national health behavior guideline network and (2) identify organization attributes associated with influential network positions.

Methods: Organizations involved in the development and dissemination of the Canadian 24-Hour Movement Guidelines for Adults were invited to complete an online survey to examine the connections among health-promoting organizations in Canada. Data were analyzed using UCINET Version 6. Network maps were generated for the interorganization network and its subgroups, and descriptive frequencies were calculated for demographic characteristics. Associations between organization attributes and centrality measures were calculated using Point-Biserial and Spearman rank correlations.

Results: Thirty-four organizations completed the survey and reported 228 organizational ties. Density scores for each dissemination network ranged from 1% to 5%, demonstrating the potential for constrained information sharing (ie, dissemination) between organizations. Five attributes were significantly associated with centrality measures, which included location, sector, size, resource allocation, and previous dissemination of sedentary behavior guidelines.

Conclusions: Findings demonstrate the utility of social network analysis for understanding knowledge mobilization across networks and offer guidance for how network features may be leveraged to enhance knowledge mobilization outcomes.

Background: Life expectancy free of cancer (LEFC) is a novel measure that considers both morbidity and mortality and could be a useful metric for disease surveillance and risk communication. We aimed to examine the association between physical activity and LEFC in British adults.

Methods: This was a prospective cohort study of 292,559 apparently healthy UK Biobank participants (mean [SD] age, 56.0 [8.1] y, 51% women). Participants were categorized based on self-reported physical activity as "no activity" (0 min/wk), "insufficiently active" (10-599 metabolic equivalent-min/wk), "active" (600-1199 metabolic equivalent-min/wk), and "very active" (>1200 metabolic equivalent-min/wk). Hazard ratios from multistate models for transitions between 3 states (cancer-free, cancer diagnosis, and all-cause mortality) were used to calculate differences in predicted remaining LEFC across physical activity levels for men and women at ages 45 and 65 years.

Results: During a median follow-up of 11.0 years, we recorded 13,143 cancer cases for men and 10,255 for women, and 6488 deaths for men and 3739 for women. At age 45, "insufficiently active," "active," and "very active" had a higher LEFC by 2.35, 2.46, and 2.76 years compared with "no activity," and by 1.44, 1.62, and 1.84 years at age 65. In women, the "insufficiently active," "active," and "very active" had a higher LEFC by 1.09, 1.42, and 1.59 years at age 45, and by 1.25, 1.54, and 1.71 years at age 65.

Conclusions: Engaging in physical activity, even below recommended levels, appears to extend cancer-free years of life. Promoting physical activity is an important strategy for cancer prevention.

Background: Active breaks and very low- to low-intensity exercises such as walking or cycling at an active desk have been shown to significantly counteract the negative effect of prolonged sedentary behaviors. The objective was to investigate the effect of physical activity level (PAL) on changes in energy expenditure (EE), heart rate, and substrate oxidation from sit-to-stand and sit-to-light cycling.

Methods: Fifty healthy young males and females (age: 23.9 [3.9] y, body mass index: 22.9 [2.3] kg/m2) were submitted to a fixed 1 hour session of different posture allocations: 15-minute sitting, 15-minute standing, 15-minute sitting, and 15-minute very low-intensity cycling. EE, substrate oxidation rates, and heart rate were continuously assessed throughout the experimental visit. Data were then compared between participants according to their PAL in tertiles (low, medium, or high). The high-PAL group showed lower sedentary time (P < .0001) and higher time spent in low (P < .0001), moderate (P < .0001), and vigorous physical activity (P = .0034).

Results: ANOVA's analysis showed that EE significantly increased when standing (+11%) and cycling (+94%) relative to the seated position (P < .05) without any differences between groups. There was also a significant increase in heart rate during standing and cycling compared with sitting (P < .05) without any differences between groups. Relative EE (in kilocalories per minute per kilogram) was significantly higher when seated (P < .05) independent of PAL but marginally higher in the high-PAL group when standing relative to the medium-PAL group (P = .06).

Conclusion: The findings of this study suggest that people's PAL does not impact energetic and metabolic adaptations during sit-to-stand and sit-to-very-light-intensity cycling exercise.

Background: Implementation of physical activity (PA) initiatives within the scope of Primary Health Care (PHC) is still a challenge for the field of public health. It is necessary to consolidate operational processes to promote PA in the daily lives of patients in PHC. The use of implementation science has significant potential for advancing PA initiatives.

Methods: The present study is a methodological study, which includes a macroproject titled "Saúde a Partir de Atividades Físicas Exitosas-SAFE Research." The project is organized by 5 steps, and a descriptive manuscript about an intervention as well, to increase, or promote PA in a community settings.

Results: Eight strategies have been developed, related to the attributes of a successful PA promotion initiative in PHC (autonomy, participation, planning, replication, and sustainability), and the dimensions of RE-AIM (reach, effectiveness, adoption, implementation, and maintenance). Each strategy presents a set of processes that can be systematically operationalized to make the PA initiative more successful.

Conclusion: The strategies were based on practical experiences in the PHC context in Brazil, which can potentially be replicated in low- and middle-income countries. These strategies make it possible to cover other initiatives in the field of health promotion so that they can be implemented in an organized, systematized way and with robust processes in community interventions.

Background: Convincing evidence supports that moderate to vigorous intensity physical activity decreases the risk of breast cancer. However, less is known about the role specific domains of physical activity play in breast cancer prevention, such as resistance training (RT). This case-control study investigated the association between RT and breast cancer risk.

Methods: The Breast Cancer Environment and Employment Study was a population-based case-control study conducted in women aged 18-80 years in Western Australia from 2009 to 2011. Information about demographic, lifestyle, and clinical risk factors of breast cancer was collected via self-administered questionnaire. Participants retrospectively recalled their recreational physical activities for 3 different age periods: 15-24, 25-39, and 40+ years. Data were available from 1149 cases and 1710 controls. Logistic regression was used to examine the relationship between RT and breast cancer risk, after adjusting for a range of confounders.

Results: The prevalence of RT ranged from 2% to 11% across the different age periods. Compared with doing none, engaging in RT versus during the age period of 15-24 years was associated with a 52% lower risk of breast cancer (adjusted odds ratio: 0.48; 95% confidence interval, 0.25-0.91). However, no associations were observed for the latter 2 age periods or lifetime RT.

Conclusion: These findings provide preliminary evidence that RT in early adulthood may be associated with a lower risk of breast cancer; however, there was no association between RT and breast cancer risk in the older age periods. Further research is required.

Introduction: The Global Observatory for Physical Education (GoPE!) builds on the Global Observatory for Physical Activity (GoPA!) to address gaps in surveillance, policy, and research on physical education (PE) and activity (PA). GoPE! is a worldwide surveillance system of quality PE and school-based PA that informs policy and interventions and allows comparative analysis so that each country and region can check their status and progress. This paper presents GoPE!'s conceptual framework and describes the research protocol as a cross-continental and evidence-based surveillance system.

Methods: Based on GoPA!'s framework and informed by the European Physical Education Observatory, as well as framed by the socioecological model of PE, United Nations Educational, Scientific, and Cultural Organization's quality PE, and the World Health Organization's whole-of-school approach, the GoPE! stands out by providing a comprehensive methodological approach. This approach relies on independently collected data about PE and PA at school policies, surveillance systems, and research. These data are critically reviewed by local representatives of the GoPE! network of experts. The GoPE! Country Card is the main product released every 5 years. It is a 1-page infographic summary of a country's key dimensions and indicators. The dimensions are: country and demographic data, PA participation, PE policy, PE surveillance, and PE and school-based PA intervention research.

Conclusion: Through its vision and methodological framework, GoPE! aims to contribute to the establishment of a minimum common denominator of quality PE and school-based PA, ultimately informing promotion, advocacy, and agenda-setting efforts to achieve international goals and recommendations for more active, equitable, and healthy children and adolescents, schools, and societies.

Background: The Global Matrix initiative provides unique insights into child and adolescent physical activity (PA) worldwide, yet requires substantial human efforts and financial support.

Purpose: This study aimed to evaluate the process and outcomes of the latest edition of the initiative, the Global Matrix 4.0, reflect on its evolution from earlier editions, and provide recommendations for future Global Matrices.

Methods: The evaluation followed a predetermined plan, which included collecting and analyzing qualitative and quantitative data from 3 online surveys to participants and online user activity metrics from MailChimp reports and Google Analytics.

Results: Global Matrix 4.0 participants (57 teams, 682 experts) assessed the PA status in their country/jurisdiction on at least 10 PA indicators and submitted 570 grades for global comparisons. Surveys were completed by 97% to 100% of targeted respondents and demonstrated predominantly high satisfaction rates (>80%) with participation, outputs, and project management. Lack of funding and inadequate national PA data availability were the commonly reported concerns. Suggestions for improvement included amending indicators' benchmarks and expanding the scope of the initiative to early years, underrepresented populations, and additional indicators.

Conclusions: This evaluation process revealed the positive experience of Global Matrix 4.0 participants and the successful delivery of expected outcomes. Reviewing the core set of indicators and benchmarks, expanding the initiative's scope, and fundraising efforts are recommended to further optimize the use of resources and maximize impact.

Background: There are no studies examining the prospective joint association of device-based measures of sedentary time and physical activity (PA) with cancer mortality. We examined the joint associations of sedentary time and intensity-specific PA with cancer mortality in 72,458 adults from UK Biobank.

Methods: Participants wore an Axivity AX3 accelerometer on their dominant wrist for at least 3 days (with at least 1 weekend day). Cox regression was performed to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for joint associations of sedentary time and intensity-specific PA (light [LPA], moderate [MPA], and vigorous PA [VPA]) with cancer mortality (reference group: high intensity-specific PA and low sedentary time) adjusted for confounders and mutually adjusted for other PA intensities.

Results: Associations between sedentary time and cancer mortality were stronger among participants with low PA, irrespective of the intensity. Compared with participants with lower sedentary time (<11 h/d) and high MPA (median of 49 min/d), HR were 1.27 (95% CI, 0.90-1.78) for high sedentary time and high MPA, 1.35 (95% CI, 1.03-1.77) for high sedentary time and medium MPA (49 min/d), and 1.49 (95% CI, 1.15-1.92) for high sedentary time and low MPA (13 min/d). HR for high sedentary time and low light PA (61 min/d) and high sedentary time and low vigorous PA (1 min/d) were 1.25 (95% CI, 1.02-1.59) and 1.57 (95% CI, 1.20-2.06), respectively.

Conclusions: Relatively large amounts of LPA and MPA and small amounts of VPA appeared to attenuate the association between sedentary time and cancer mortality.

Objective: This systematic review summarizes the literature on the associations between movement behaviors (eg, sleep, sedentary behavior, and physical activity [PA]) and cognition, and academic achievement (AA) in children and adolescents.

Methods: Four electronic databases (PubMed, Embase, PsycINFO, and SPORTDiscus) were searched from inception until October 2023.

Results: This systematic review included 24 reports, representing 48,558 youth aged 6-17.9 years. Ten reports (46%) showed a high risk of bias, and overall quality of evidence ranged from very low to moderate. No reports assessed the associations between sleep and cognition; 1 cross-sectional report showed beneficial associations between sleep and AA. Sedentary behaviors showed null associations with AA in 43% of the reports; however, screen time was detrimentally associated with AA in all reports. Overall, 57% of the reports looking at the associations between PA and cognition showed beneficial associations; 53% showed beneficial associations between PA and AA; 56% of the randomized controlled trials showed beneficial impacts on cognition (3 out of 5) or on AA (2 out of 4).

Conclusions: Overall, this systematic review showed evidence of beneficial associations between PA and cognition and AA, as well as detrimental effects of screen time. Due to the many inconsistent results found for sedentary behavior, together with scarce data on associations between sleep duration and cognition, and AA in children and adolescents, more research is needed so researchers can draw strong and evidence-based conclusions.

Background: This study aims to investigate salient beliefs toward physical activity by gathering qualitative data through open-ended questions among high school-aged female adolescents in Turkey.

Methods: A sample of 259 Turkish high school students, aged between 14 and 17, were randomly selected to participate in this study. Open-ended questions address 3 main components of the Theory of Planned Behavior, attitudes, perceived control, and social norms. Content analysis is employed to categorize the data according to themes, during the elicitation process.

Results: The results were categorized as variables of the Theory of Planned Behavior. Positive attitude contributors included health expectations, emotions, fitness expectations, learning, and socialization, while negative attitude contributors encompassed adverse health outcomes and emotions. Second, perceived competence and efficacy emerged as positive contributors to perceived behavior control, whereas factors, such as time constraints, health-related barriers, fitness barriers, environmental and economic barriers, and perceived negative competence and efficacy were identified as negative influencers of perceived behavior control. Last, it was found that families, friends, and teachers played significant roles in shaping social norms.

Conclusions: Offering attractive choices for physical activities while explaining the positive impact on both physical, and mental health, as well as physical fitness is important for positive attitudes. Providing positive experiences and emphasizing the aspects of physical activity that support academic productivity are important factors in supporting perceived behavioral control. Finally, advocating for environments that promote physical activity behaviors among peers and ensure comprehensive support from families and educators is valuable in terms of subjective norms to increase physical activity intentions.