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Prevalence and Correlates of Adherence to the Global Total Physical Activity Guideline Based on Step Counting Among 3- to 4-Year-Olds: Evidence From SUNRISE Pilot Studies From 17 Countries

Tawonga W. Mwase-Vuma, Xanne Janssen, Kar Hau Chong, Anthony D. Okely, Mark S. Tremblay, Catherine E. Draper, E. Kipling Webster, Alex Antonio Florindo, Amanda E. Staiano, Bang Nguyen Pham, Chiaki Tanaka, Denise Koh, Hongyan Guan, Hong K. Tang, Marie Löf, Mohammad Sorowar Hossain, Nyaradzai E. Munambah, Penny Cross, PW Prasad Chathurangana, and John J. Reilly

Background: There is limited evidence from globally diverse samples on the prevalence and correlates of meeting the global guideline of 180 minutes per day of total physical activity (TPA) among 3- to 4-year-olds. Methods: Cross-sectional study involving 797 (49.2% girls) 3- to 4-year-olds from 17 middle- and high-income countries who participated in the pilot phases 1 and 2 of the SUNRISE International Study of Movement Behaviours in the Early Years. Daily step count was measured using thigh-worn activPAL accelerometers. Children wore the accelerometers for at least one 24-hour period. Children were categorized as meeting the TPA guideline based on achieving ≥11,500 steps per day. Descriptive analyses were conducted to describe the proportion of meeting the TPA guideline for the overall sample and each of the sociodemographic variables, and 95% CIs were calculated. Multivariable logistic regression was used to determine the sociodemographic correlates of meeting the TPA guideline. Results: Mean daily step count was 10,295 steps per day (SD = 4084). Approximately one-third of the sample (30.9%, 95% CI, 27.6–34.2) met the TPA guideline. The proportion meeting the guideline was significantly lower among girls (adjusted OR [aOR] = 0.70, 95% CI, 0.51–0.96) and 4-year-olds (aOR = 0.50, 95% CI, 0.34–0.75) and higher among rural residents (aOR = 1.78, 95% CI, 1.27–2.49) and those from lower middle-income countries (aOR = 1.35, 95% CI, 0.89–2.04). Conclusions: The findings suggest that a minority of children might meet the TPA guideline globally, and the risk of not meeting the guideline differed by sociodemographic indicators. These findings suggest the need for more surveillance of TPA in young children globally and, possibly, interventions to improve childhood health and development.

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The Evolution of Physical Activity and Health Research in China: A Bibliometric Analysis of Study Areas and Sex Balance in Authorship

Kaiyue Zhang, Diana Morales, Junshi Chen, Wenhua Zhao, Anne Tang, Eduardo Kohn, Ding Ding, Andrea Ramirez Varela, Michael Pratt, and Pedro C. Hallal

Background: This article evaluates the evolution of physical activity and health research in China through a bibliometric analysis focused on number of publications, study areas, and sex balance in authorship. Methods: A systematic review was conducted by the Global Observatory for Physical Activity for “physical activity and health” publications between 1950 and 2019. Here, we focus on the 610 Chinese publications identified, defined as those in which data collection took place in China. We assessed the number of publications, classified them into 5 areas (1) surveillance, (2) correlates and determinants, (3) health consequences, (4) interventions, and (5) policy, and analyzed female participation in authorship. Results: The first Chinese publication identified in the review was in 1990. Since, the average number of physical activity and health publications increased from one per year in the 1990s to 7.6 per year in the 2000s, and to 47 per year in the 2010s. Most publications focused on the correlates and determinants (38.7%) and the health consequences of physical activity (35.9%). Physical activity policy accounted for 2.3% of the publications. In the 1990s, 64% of the publications included at least one female author; this proportion increased to 90% in the 2010s. Conclusion: Despite a slow start, China’s research on physical activity and health has grown rapidly since 2000. The distribution of publications by study areas and female participation in authorship is similar to that observed globally, with fewer publications focused on interventions and policy as compared with other topics.

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Physical Activity Among Utah Cancer Survivors: Analysis From a Population-Based Statewide Survey

Morgan M. Millar, Sandra L. Edwards, Rachel R. Codden, Blessing S. Ofori-Atta, Kimberly A. Herget, Marjorie E. Carter, Anne C. Kirchhoff, Adriana M. Coletta, and Carol Sweeney

Background: Regular physical activity improves cancer survivors’ health-related quality of life and physical function. We estimated the proportion of Utah cancer survivors meeting U.S. Department of Health and Human Services guidelines for weekly physical activity (aerobic plus strength exercise) and identify sociodemographic, cancer, and health-related factors associated with meeting guidelines. Methods: Survivors randomly sampled from Utah Cancer Registry records were surveyed from 2018 to 2022 to ascertain physical activity. We calculated the percent of survivors meeting guidelines and conducted logistic regression to assess predictors of meeting guidelines. Analyses were weighted to account for complex survey sample design and nonresponse and age adjusted. Results: Among Utah cancer survivors, 20.7% (95% CI, 18.5%–23.2%) met guidelines for both aerobic activity and strength exercise. 22.4% reported no aerobic exercise in a typical week, and 59.4% reported no strength exercise. Survivors 75 or older were less likely to meet physical activity guidelines than those under 55 (adjusted odds ratio: 0.40; 95% CI, 0.25–0.65). Survivors with a bachelor’s degree or higher were more likely to meet physical activity guidelines than those without a college degree. Individuals with poorer overall health were less likely to report sufficient physical activity. Individuals treated with both chemotherapy and radiation had decreased odds of meeting guidelines compared to no treatment (adjusted odds ratio: 0.54; 95% CI, 0.29–0.99). Conclusions: Most Utah cancer survivors, and particularly those who received multiple modes of adjuvant treatment, are not participating in sufficient physical activity to improve longevity and quality of life after cancer.

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Criterion Validity and Reliability of 2 Brief Physical Activity Questionnaires in Ethnically Diverse Adults

Norberto N. Quiles, David Uher, Anoop Balachandran, Alexis Ortiz, and Carol Garber

Purpose: The study compares moderate- to vigorous-intensity physical activity (MVPA) as evaluated by the Exercise Vital Signs (EVS) and Physical Activity Vital Signs (PAVS) questionnaires to accelerometry, and evaluates the reliability of the questionnaires in ethnically diverse adults. Methods: Ninety-nine participants (mean age 38.1 y; 49.5% women; Hispanics 43.8%; European American 18.8%; African American 14.6%) were included in the analyses. Participants wore an accelerometer at the hip for at least 7 days and completed the EVS and PAVS questionnaires at the beginning (T1) and at the end (T2) of the 7 days. Associations between the questionnaires and accelerometry were examined using Spearman rho. The reliability of the questionnaires was evaluated using intraclass correlation coefficient. Sensitivity and specificity were also calculated. Results: Weak positive correlations were observed between the accelerometer MVPA and the EVS MVPA at T2 (ρ = .263, P = .013), and the PAVS MVPA at T2 (ρ = .327, P = .003). The sensitivity of the EVS and PAVS was 73.2% and 82.6%, respectively. The specificity for each questionnaire was 35.3%. The reliability for the EVS questionnaire (intraclass correlation coefficient = .855; 95% CI, .791–.901; P < .001) was good, while the reliability of the PAVS questionnaire (intraclass correlation coefficient = .652; 95% CI, .511–.758; P < .001) was moderate. Conclusion: Caution should be used when utilizing the EVS and PAVS questionnaires in ethnically diverse adults.

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Process Evaluation of a Scaled-Up School-Based Physical Activity Program for Adolescents: Physical Activity 4 Everyone

Matthew Mclaughlin, Jed Duff, Elizabeth Campbell, Tom McKenzie, Lynda Davies, Luke Wolfenden, John Wiggers, and Rachel Sutherland

Background: Physical Activity 4 Everyone (PA4E1) is a whole-school physical activity program, with demonstrated efficacy (2012–2014). PA4E1 was adapted (scaled-up) and tested in a scale-up trial (2017–2020). This process evaluation study of the scale-up trial had 2 aims. First, to describe the acceptability, appropriateness, and feasibility of PA4E1 in the scale-up trial, from the perspective of school staff involved in the program management and delivery. Second, to generate themes that may explain school staff assessments of acceptability, appropriateness, and feasibility. Methods: Data were collected at various time points throughout the 2-year implementation phase. Online surveys were collected from In-School Champions, Head Physical Education teachers, Principals, and Physical Education teachers (quantitative data). Focus groups and interviews were conducted with In-School Champions, Principals, and Physical Education teachers (qualitative data). Existing published data on website engagement, adaptations, modifications, and the scale-up trial primary outcome (implementation of physical activity practices) were triangulated with the quantitative and qualitative during analysis, to generate themes. Results: School staff delivering PA4E1 reported it was highly acceptable, appropriate, and feasible. Seven themes were generated relating to acceptability, appropriateness, and feasibility. The themes related to how the program was funded, the delivery modes of implementation support, the identification of easy-wins, the recruitment of the right in-school champion, facilitating principal buy-in, mitigating the impact of school staff turnover, and engaging the whole school. Conclusions: Recommendations are made to inform future adaptations for PA4E1 and potentially school-based physical activity programs more generally. The findings may inform future scalability assessments of the suitability of programs for scale-up.

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Volume 21 (2024): Issue 6 (Jun 2024)

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Erratum. Proportion and Correlates of Children in the US-Affiliated Pacific Region Meeting Sleep, Screen Time, and Physical Activity Guidelines

Journal of Physical Activity and Health

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Proportion and Correlates of Children in the US-Affiliated Pacific Region Meeting Sleep, Screen Time, and Physical Activity Guidelines

Sarah T. Ryan, Anthony D. Okely, Kar Hau Chong, Rebecca M. Stanley, Melanie Randle, Gade Waqa, Ashley B. Yamanaka, Rachael Leon Guerrero, Patricia Coleman, Leslie Shallcross, Lynne R. Wilkens, Jonathan L. Deenik, and Rachel Novotny

Introduction: Limited data on 24-hour movement behaviors of children aged 5–8 years exist globally. We describe the prevalence and sociodemographic associations of meeting physical activity (PA), sedentary recreational screen time (ST), and sleep guidelines among children from 11 jurisdictions in the US-Affiliated Pacific region. Methods: Cross-sectional representative data from 1192 children aged 5–8 years living in the US-Affiliated Pacific region were drawn from the baseline 2012–2014 Children’s Healthy Living Program. Sleep and moderate- to vigorous-intensity PA were calculated from accelerometry. ST and sociodemographic data were collected from caregiver surveys. The percentage of children meeting the Asia-Pacific 24-hour movement guidelines for PA (≥60 min/d of moderate- to vigorous-intensity PA), sleep (≥9 and ≤ 11 h/d) and ST (≤2 h/d) were calculated. Generalized linear mixed models were used to examine associations with adiposity and sociodemographic variables. Results: Twenty-seven percent (95% confidence interval, 24.6–30.0) of children met integrated guidelines; 98% (96.2–98.0) met PA, 78% (75.4–80.0) met sleep, and 35% (32.6–38.0) met ST guidelines. Females (adjusted odds ratio = 1.40 [95% confidence interval, 1.03–1.91]) and those living in lower-middle-income jurisdictions (2.29 [1.49–3.54]) were more likely to meet ST guidelines. Overweight children (0.62 [0.40–0.96]), those aged 8 years (0.39 [0.22–0.69]), and children with caregivers of an education level of high school or beyond (0.44 [0.29–0.68]) were less likely to achieve ST guidelines. Children from midrange annual household incomes were less likely to meet combined guidelines (0.60 [0.39–0.92]). Conclusions: Three-quarters of children are not meeting integrated Asia-Pacific 24-hour movement guidelines. Future strategies for reducing ST and increasing integrated guidelines compliance are needed.

Open access

Follow the Arrows: Using a Co-Created Causal Loop Diagram to Explore Leverage Points to Strengthen Population Physical Activity Promotion in British Columbia, Canada

Lori Baugh Littlejohns, Geoffrey McKee, Drona Rasali, Daniel Naiman, Jennafer Mee, Tanya Osborne, Phuc Dang, Meghan Winters, Scott A. Lear, Diane Nelson, Steve McGinley, and Guy Faulkner

Background: Population physical activity promotion (PPAP) is one of the most effective noncommunicable disease prevention strategies, yet coordination is lacking around the world. Whole-of-system approaches and complex systems methods are called for to advance PPAP. This paper reports on a project which (1) used an Attributes Framework with system mapping (group model building and causal loop diagramming of feedback loops) and (2) identified potential leverage points to address the challenge of effective coordination of multisectoral PPAP in British Columbia. Methods: Key findings from stakeholder interviews and workshops described the current system for PPAP in terms of attributes and dimensions in the framework. These were translated into variables and used in group model building. Participants prioritized the importance of variables to address the coordination challenge and then created causal loop diagrams in 3 small groups. One collective causal loop diagram was created, and top priority variables and associated feedback loops were highlighted to explore potential leverage points. Results: Leverage points included the relationships and feedback loops among priority variables: political leadership, visible policy support and governance, connectivity for knowledge translation, collaborative multisector grants, multisector collaboration, and integrating co-benefits. Leveraging and altering “vicious” cyclical patterns to increase coordinated multisector PPAP are key. Conclusions: The Attributes Framework, group model building and causal loop diagrams, and emergent feedback loops were useful to explore potential leverage points to address the challenge of multisectoral coordination of PPAP. Future research could apply the same methods in other jurisdictions and compare and contrast resultant frameworks, variables, feedback loops, and leverage points.

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Changes in Accelerometer-Measured Physical Activity and Sedentary Time Across Retirement Transition as a Predictor of Self-Rated Health

Andreas Fröberg, Lawrence Sacco, Kristin Suorsa, Tuija Leskinen, Pasan Hettiarachchi, Magnus Svartengren, Sari Stenholm, and Hugo Westerlund

Background: Retirement transition has been shown to associate with changes in physical activity (PA) and self-rated health (SRH), but their interrelationship is less studied. The aim was to investigate changes in accelerometer-measured total PA, moderate to vigorous PA (MVPA), and sedentary time across retirement transition as a predictor of SRH. Methods: Data from the Swedish Retirement Study and the Finnish Retirement and Aging study were harmonized and pooled. Data from 3 waves (about 12 mo apart) were included: 1 preretirement (wave 1) and 2 postretirement follow-ups (wave 2–3). A totally of 245 participants (27% men) were included. Thigh-worn accelerometers were used to collect data for PA variables (wave 1–2), and SRH was obtained from the questionnaire (wave 1–3). Results: Between wave 1 and 2, total PA decreased with 11 (CI, −22 to −1) minutes per day, MVPA was stable (0 [CI, −3 to 3] min), and sedentary time decreased nonsignificantly with 9 (CI, −20 to 1) minutes. SRH changed between all 3 waves (all P < .001). At preretirement, 10 more minutes of MVPA was associated with greater odds of better SRH when adjusting for accelerometer wear-time, cohort, sex, age, and occupational status (odds ratio: 1.11 [95% CI, 1.02–1.22]). This association was no longer statistically significant when additionally adjusting for marital status, body mass index, and smoking. No significant associations were observed between changes in the PA variables during retirement transition and SRH at postretirement follow-ups. Conclusions: This study showed a cross-sectional association between MVPA and greater odds of reporting better SRH before retirement. No longitudinal associations were observed between changes in the PA variables from before to after retirement and later changes in SRH.