8 research outputs found

    Physical activity in youth dance classes

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    Background and objectives: The majority of youth are not meeting the US Department of Health and Human Services physical activity guidelines. Dance is a popular activity, particularly for girls, and has the potential to increase physical activity for many youth. This study investigated physical activity of children and adolescents in 7 dance types: ballet, hip-hop, jazz, Latin-flamenco, Latin-salsa/ballet folklorico, partnered, and tap. Methods: Data were collected in 17 private studios and 4 community centers in San Diego, California. A total of 264 girls from 66 classes participated (n =154 children; n = 110 adolescents). Physical activity was measured with accelerometers, and activity levels during class were calculated. Results: Participants recorded an average of 17.2 ± 8.9 minutes of moderate-to-vigorous physical activity (36% of class), but this varied by age and dance type. For children, dance type differences were observed with percent of class in moderate-to-vigorous physical activity ranging from 13.6% (Latin-flamenco) to 57% (hip-hop). For adolescents, there were no differences across dance types. Children were more active than adolescents in all types except ballet. Children and adolescents were more active in private compared with community center classes. Conclusions: Overall, physical activity in youth dance classes was low; 8% of children and 6% of adolescents met the Centers for Disease Control and Prevention 30-minute guideline for after-school physical activity during dance. To increase physical activity in dance classes, teaching methods could be employed to increase activity in all types, or emphasis could be placed on greater participation in more active dance types

    Is the relationship between the built environment and physical activity moderated by perceptions of crime and safety?

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    Background: Direct relationships between safety concerns and physical activity have been inconsistently patterned in the literature. To tease out these relationships, crime, pedestrian, and traffic safety were examined as moderators of built environment associations with physical activity. Methods: Exploratory analyses used two cross-sectional studies of 2068 adults ages 20–65 and 718 seniors ages 66+ with similar designs and measures. The studies were conducted in the Baltimore, Maryland-Washington, DC and Seattle-King County, Washington regions during 2001–2005 (adults) and 2005–2008 (seniors). Participants were recruited from areas selected to sample high- and low- income and walkability. Independent variables perceived crime, traffic, and pedestrian safety were measured using scales from validated instruments. A GIS-based walkability index was calculated for a street-network buffer around each participant’s home address. Outcomes were total physical activity measured using accelerometers and transportation and leisure walking measured with validated self-reports (IPAQ-long). Mixed effects regression models were conducted separately for each sample. Results: Of 36 interactions evaluated across both studies, only 5 were significant (p  <  .05). Significant interactions did not consistently support a pattern of highest physical activity when safety was rated high and environments were favorable. There was not consistent evidence that safety concerns reduced the beneficial effects of favorable environments on physical activity. Only pedestrian safety showed evidence of a consistent main effect with physical activity outcomes, possibly because pedestrian safety items (e.g., crosswalks, sidewalks) were not as subjective as those on the crime and traffic safety scales. Conclusions: Clear relationships between crime, pedestrian, and traffic safety with physical activity levels remain elusive. The development of more precise safety variables and the use of neighborhood-specific physical activity outcomes may help to elucidate these relationships
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