Variability of Spanish adolescents' physical activity patterns by seasonality, day of the week and demographic factors

C Peiro-Velert, Jose Devis-Devis, V Beltran-Carrillo, KR Fox

    Research output: Contribution to journalArticle (Academic Journal)peer-review

    49 Citations (Scopus)

    Abstract

    Abstract In this study, we examined the variability of physical activity (and inactivity) patterns in relation to gender, age, type of school, day of the week, and season of the year among a sample of Spanish adolescents aged 12-16 years. Levels of physical activity engagement, “who” was active/inactive, and “when” they were active/inactive were addressed. A Spanish translation and modification of Cale's Four by One-Day Physical Activity Questionnaire was administered by interviewer to 323 participants to measure estimated energy expenditure. Activity was assessed for two weekdays and two weekend days on two occasions during the autumn and two occasions during the winter. In an effort to better describe adolescents' active/inactive lifestyles, energy expenditures were translated into physical activity categories (i.e. active, moderately active, inactive, and very inactive). Results revealed that mean adolescent total daily energy expenditure was 41.46 kcal·kg-1·day-1 (s=7.05), which corresponded to the “active” category. Factorial and mixed analyses of variance showed statistically significant differences in energy expenditure by gender, season, day of the week, and type of school (P
    Translated title of the contributionVariability of Spanish adolescents' physical activity patterns by seasonality, day of the week and demographic factors
    Original languageEnglish
    Pages (from-to)163 - 171
    Number of pages9
    JournalEuropean Journal of Sport Science
    Volume8 (3)
    DOIs
    Publication statusPublished - May 2008

    Bibliographical note

    Publisher: Routledge

    Fingerprint

    Dive into the research topics of 'Variability of Spanish adolescents' physical activity patterns by seasonality, day of the week and demographic factors'. Together they form a unique fingerprint.

    Cite this