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Journal of Physical Activity and Health

Print ISSN
1543-3080
Electronic ISSN
1543-5474
Impact factor
1.857
Publisher
Proquest
Usage rank
5224
Article count
573
Free count
0
Free percentage
0.0
PDFs via platforms
Proquest and CSA

  1. Predictors of children's active commuting to school: an observational evaluation in 5 U.S. communities.

    Journal of Physical Activity and Health 11(4):729 (2014) PMID 23575275 PMCID PMC3749259

    Few reports examined long term predictors of children's active commuting to school (walking or cycling to school, ACS). To identify predictors of ACS over 1 school year among a sample of children with relatively high rates of ACS. Parents were surveyed in September 2010 (Time 1) and April 2011 (Time...
  2. Physical, policy, and sociocultural characteristics of the primary school environment are positively associated with children's physical act...

    Journal of Physical Activity and Health 11(3):553 (2014) PMID 23416795

    These results highlight the relevance of the school's sociocultural, policy and physical environments in supporting class-based PA. Interventions testing optimization of the school physical, sociocultural and policy environments to support physical activity are warranted....
  3. An exploratory study of seasonality and preschoolers' physical activity engagement.

    Journal of Physical Activity and Health 10(7):993 (2013) PMID 23136385

    While there is an emerging body of literature showing variations in physical activity between seasons, further investigation is needed to better understand this association in preschool-age children. This study was designed to examine seasonal variation from fall to winter in physical activity among...
  4. Prescriptive medicine: the importance of preparing Canadian medical students to counsel patients toward physical activity.

    Journal of Physical Activity and Health 10(6):889 (2013) PMID 23072743

    We generated cross-tabulations with the independent covariates and our statistical comparison was based on the generalized estimating equation (GEE) algorithm to adjust for schools (clusters). While 64% (969/1510) of medical students met the MVPA recommendation, only 25% discussed PA counseling with...
  5. Evaluation of a policy to integrate physical activity into the school day.

    Journal of Physical Activity and Health 10(4):480 (2013) PMID 23714628

    Although the teachers did not meet the 20-minute policy every day, the increased amount of PA achieved each week through the teachers' efforts is a significant contributor to total daily PA levels of children....
  6. Physical activity in preschool children with the transition to outdoors.

    Journal of Physical Activity and Health 10(2):170 (2013) PMID 22820709

    It is known that children are more physically active outdoors than indoors. However, few previous studies have observed the time course for physical activity as young children transition from indoor to outdoor activities. Participants were 3- to 5-year-old children enrolled in the Children's Activit...
  7. Evaluation of 2 self-report measures of physical activity with accelerometry in young adults.

    Journal of Physical Activity and Health 10(1):85 (2013) PMID 22241145 PMCID PMC3521871

    The purpose of this paper is to evaluate self-reported physical activity of young adults using 1-week and 1-year recall measures with an accelerometer as the criterion measure. Participants were a subsample (N = 121, 24 ± 1.7 yrs) from a large longitudinal cohort study. Participants completed a deta...
  8. Step-defined physical activity and cardiovascular risk among middle-aged Japanese: the national health and nutrition survey of Japan 2006.

    Journal of Physical Activity and Health 9(8):1117 (2012) PMID 22207036

    Pedometers are becoming widely accepted for physical activity measurement. To use step data effectively, an index which categorizes steps/day by < 5000, ≥ 5000, ≥ 7500, ≥ 10,000, and ≥ 12,500 steps/day has been previously proposed. However, evidence is insufficient to validate this index compared wi...
  9. Exposure to physical activity resources by neighborhood sociodemographic characteristics in copenhagen.

    Journal of Physical Activity and Health 9(8):1065 (2012) PMID 22207413

    We used multivariate logistic regression analysis to examine the association between physical activity-supportive resources [public open space (POS), cycling and walking paths, sports facilities, and intersection density] and neighborhood sociodemographic indicators (low education, recent immigrants...
  10. Differences in physical activity among adults in households with and without children.

    Journal of Physical Activity and Health 9(7):985 (2012) PMID 22971890

    The study aim was to assess the relation of parent status to physical activity (PA) and the impact of parental roles, age and number of children on PA. Data for 909 women and 965 men, aged 20-57, were analyzed. Mixed Models were used to assess differences in PA betwee...