Adolescents‘ Self-Efficacy to Overcome Barriers to Physical Activity Scale

This paper describes a revised measure of self-efficacy to overcome barriers to moderate and vigorous physical activity in a sample of 484 high school students in Toronto, Ontario. The students had a mean age of 15.3 years. Principal axis factoring with oblique rotation yielded five factors: self-efficacy to overcome internal, harassment, physical environment, social environment, and responsibilities barriers. Two problematic items were removed, which resulted in a 22-item measure. Subsequent analyses were conducted on responses to this shortened measure. Confirmatory factor analysis supported the five-factor model and demonstrated age- and sexinvariance. The subscales had good internal consistency reliability. Structural regressions demonstrated a strong relationship between the resulting factors and a physical activity measure (energy expenditure), showing predictive validity.     

Is In-Class Physical Activity at Risk in Constructivist Physical Education?

Constructivist physical education emphasizes cognitive engagement. This study examined the impact of a constructivist curriculum on in-class physical activity. Caloric expenditure in metabolic equivalents (MET) and vector magnitude count (VM) data from a random sample of 41 constructivist lessons were compared with those from a random sample of 35 nonconstructivist lessons. Statistical analyses revealed that students in both curriculum conditions were active at a similarly low-moderate level (MET = 2.6 for experimental, 2.5 for comparison, p = .30). Differences (p < .05) were found between the three units within the constructivist curriculum. The findings suggest that the constructivist approach may facilitate knowledge learning with little risk of reducing in-class physical activity.     

What Are the Contributory and Compensatory Relationships Between Physical Education and Physical Activity in Children?

Limited data are available on the contributory and compensatory relationships between physical education and physical activity in children. Four hundred eighty-five (280 girls) children in first through sixth grades wore sealed pedometers during waking hours, including normally scheduled physical education lessons. The least, moderately, and most active children accumulated approximately 1,700, 1,100, and 2,500 more steps/day, respectively, on school days with physical education. No compensatory increases in physical activity were found on school days that did not offer physical education. The implications of the contributory relationship are highlighted by the evidence that 50% of the least active children were at risk for overweight or overweight and that no compensatory increases in physical activity were found on school days when physical education classes were not scheduled.     

Physical fitness percentiles for Portuguese children and adolescents aged 10–18 years

Abstract

This study aimed to produce age- and sex-specific physical fitness reference data for Portuguese youth; to report the prevalence of youth in the healthy zone of physical fitness according to the FITNESSGRAM^® criteria; to verify the agreement between the Portuguese physical fitness percentiles and the FITNESSGRAM^® healthy zones. In 2008, 22,048 Portuguese children and adolescents (10–18 years) were evaluated. Physical fitness (curl-ups, push-ups, 20-m shuttle run and modified-back-saver-sit-and-reach tests) was evaluated using the FITNESSGRAM^® Test Battery 8.0. Smoothed percentile curves were estimated using Cole’s LMS method. Boys consistently outperformed girls in every physical fitness test, except for the modified-back-saver-sit-and-reach tests. In both sexes and for all physical fitness tests, higher percentile values were observed at older ages. The 50th percentile of all physical fitness tests had the highest accuracy to discriminate between under healthy zone and healthy zone of the FITNESSGRAM^®. Portuguese schools and physical education teachers may considerer the 50th percentile for age and sex or the FITNESSGRAM^® criteria for classifying participants in the healthy zone as acceptable cut-offs, above which youth should be considered fit. These reference values can be used as normative data and for baseline values for subsequent surveillance of the physical fitness of Portuguese youth.     

Parent Support for Children’s Physical Activity: A Qualitative Investigation of Barriers and Strategies

Purpose: Parents play an important role in supporting children’s physical activity (PA) behavior. Parent PA support is a behavior unto itself that has been examined within the framework of an adapted theory of planned behavior (TPB). The primary purpose of this research was to identify key barriers to parent PA support to understand perceptions of control in relation to parent PA support. The second purpose of this research was to identify potential strategies to enhance parent PA support via enhanced perceived behavioral control. Method: Focus groups were conducted with parents (N = 21) of children aged 5 to 11 years old. A deductive content analysis was employed to analyze the data guided by an adapted TPB. Results: Themes related to barriers included parents’ motivation, affective experiences in providing PA support, and control factors (e.g., cost, time, safety concerns, screen). Themes related to potential strategies included opportunities for participation and improved affective experiences for parents, community parenting, and self-regulatory strategies. Conclusion: The identification of specific barriers to parent PA support can guide the development of interventions to facilitate parent PA support. Informational, programming, and self-regulatory training interventions may be useful in enhancing parent support.     

Evaluation of Low-Cost,Objective Instruments for Assessing Physical Activity in 10–11-Year-Old Children

This study compared step counts detected by four, low-cost, objective, physical-activity-assessment instruments and evaluated their ability to detect moderate-to-vigorous physical activity (MVPA) compared to the ActiGraph accelerometer (AG). Thirty-six 10–11-year-old children wore the NL-1000, Yamax Digiwalker SW 200, Omron HJ-151, and Walk4Life MVP concurrently with the AG during school hours on a single day. AG MVPA was derived from activity count data using previously validated cut points. Two of the evaluated instruments provided similar group mean MVPA and step counts compared to AG (dependent on cut point). Low-cost instruments may be useful for measurement of both MVPA and steps in children's physical activity interventions and program evaluation.     

Psychometric Properties of a Parental Questionnaire for Assessing Correlates of Toddlers’ Physical Activity and Sedentary Behavior

This study examined the psychometric properties of a questionnaire developed with the guidance of the socialization model of child behaviour to understand modifiable correlates of toddlers’ physical activity and sedentary behaviour. Findings are based on 118 parents (33.7 ± 4.9 years; 86% female) of toddlers (19.3 ± 2.7 months; 48% female) from Edmonton, Canada in The Parents’ Role in Establishing healthy Physical activity and Sedentary behaviour habits study (PREPS). The PREPS questionnaire encompassed 21 variables across the constructs of the socialization model of child behaviour. Of the nine variables assessed for internal consistency reliability, eight had good (α ≥ 0.70) reliability. Of the 15 continuous variables assessed for 1-week test–retest reliability, 10 had moderate (intra-class correlation = 0.50–0.74) and 5 had good (intra-class correlation ≥ 0.75) reliability. Of the six categorical variables assessed for 1-week test–retest reliability, two had fair (К = 0.21–0.40), one had moderate (К = 0.41–0.60), one had substantial (К = 0.61–0.80), and two had almost perfect (К = 0.81–1.00) reliability. Of the 12 sedentary behaviour variables assessed for convergent validity, 7 were significantly correlated with children’s screen time, of which three were small (r ≤ 0.29), two were medium (r = 0.30–0.49), and two were large (r ≥ 0.50) effect sizes.     

Academic-Based and Aerobic-Only Movement Breaks: Are There Differential Effects on Physical Activity and Achievement?

Purpose: This study investigated the academic achievement and physical activity differences between types of activity breaks implemented in elementary school classrooms. This study evaluated whether there was a difference between the impact of purely aerobic-based movement breaks and the impact of academic-based breaks on children’s academic achievement outcomes. Method: Participants included 460 children in 3rd grade through 5th grade at 4 elementary schools. There were 176 children in the schools that engaged in academic-based breaks and 284 in the schools that engaged in aerobic-only breaks. Schools were randomly assigned at the school level to implement either aerobic movement breaks with academic content infused within the breaks (“academic-based breaks”) or aerobic-only movement breaks without the addition of academic material (“aerobic-only breaks”) for approximately 10 min of activity per day. Math and reading achievement as well as children’s step counts were measured before and after the intervention. A mixed-effects (multilevel-growth) model, in which the repeated measures of individuals nested within a classroom are analyzed, was used to answer all posited research questions. Results: Small to moderate effect sizes (ES) indicating gains in reading achievement (ES = .13) and steps (ES = .33) were found for classrooms that used aerobic-only movement breaks compared with those that used academic-based breaks. Conclusions: The type of movement breaks that are implemented in classrooms may have differential outcomes for children’s achievement and activity levels. Results from the present study indicate that children who were given aerobic-only movement breaks had slightly larger gains in reading achievement and physical activity levels than children who were given academic-based breaks.     

What's new in the 2020 World Health Organization Guidelines on Physical Activity and Sedentary Behavior?

Toward the end of 2020, the World Health Organization (WHO) released a new set of guidelines for physical activity and sedentary behavior.1 For any aspect of he...     

Is a single question of the Global Physical Activity Questionnaire (GPAQ) valid for measuring sedentary behaviour in the Chilean population?

A study was conducted to assess the validity of the Global Physical Activity Questionnaire (GPAQ) for measuring sedentary behaviour (SB) in the Chilean adult population. About 217 adults (93/124 male/female, 43.8 ± 15.75 years) who were randomly selected during National Health Survey 2009–2010 completed the protocol. The participants wore an ActiGraph GT3X (AG) for 7 consecutive days and then completed the GPAQ (single-item question for measuring time spent sitting in a usual day). Validity was examined using Spearman’s correlation, mean bias and limits of agreement (LoA), with AG (vertical axis <100 counts · min^?1) as the reference standard for estimates of SB in bouts of 1 (AG1), 5 (AG5) and 10 (AG10) min. Agreement between the GPAQ and AG for classifying data into quartiles and tertiles was assessed with kappa method. The GPAQ showed fair correlation with AG1, AG5 and AG10 (range = 0.23–0.26), with large mean biases (range = ?293.9, ?76.12 min · day^?1). Agreement between the GPAQ and AG1, AG5 and AG10 was poor for categorising time spent in SB into tertiles and quartiles. The single question from the GPAQ has shown fair validity for measuring SB and poor ability for correctly classifying individuals into tertiles or quartiles of SB in a Chilean population.     

Modeling the dose–response rate/associations between VO2max and self-reported Physical Activity Questionnaire in children and adolescents

BackgroundThis study sought to explore the dose–response rate/association between aerobic fitness (VO_2max) and self-reported physical activity (PA) and to assess whether this association varies by sex, age, and weight status.MethodsVO_2max was assessed using the 20-m shuttle-run test. PA was assessed using the Physical Activity Questionnaire (PAQ) for Adolescents (aged >11 years, PAQ-A) or for Children (aged ≤11 years, PAQ-C). The associations between VO_2max and PAQ were analyzed using analysis of covariance (ANCOVA), adopting PAQ and PAQ² as covariates but allowing the intercepts and slope parameters of PAQ and PAQ² to vary with the categorical variables sex, age group, and weight status.ResultsANCOVA identified a curvilinear association between VO_2max and PAQ, with positive linear PAQ terms that varied for both sex and weight status but with a negative PAQ² term of −0.39 (95% confidence interval (CI): –0.57 to –0.21) that was common for all groups in regard to age, sex, and weight status. These curvilinear (inverted U) associations suggest that the benefits of increasing PA (same dose) on VO_2max is greater when children report lower levels of PA compared to children who report higher levels of PA. These dose–response rates were also steeper for boys and were steeper for lean children compared to overweight/obese children.ConclusionHealth practitioners should be aware that encouraging greater PA (same dose) in inactive and underweight children will result in greater gains in VO_2max (response) compared with their active and overweight/obese counterparts.