From the Abstract:
Little research has explored who responds better to an automated
vs. human advisor for health behaviors in general, and for physical
activity (PA) promotion in particular. The purpose of this study was to
explore baseline factors (i.e., demographics, motivation, interpersonal
style, and external resources) that moderate intervention efficacy
delivered by either a human or automated advisor.
Source:
International Journal of Behavioral Nutrition and Physical Activity, 10(1), 109. doi: http://dx.doi.org/10.1186/1479-5868-10-109. Retrieved from: eScholarship Repository: http://escholarship.org/uc/item/5584f2sq
Download pdf publication: Determining who responds better to a computer- vs. human-delivered physical activity intervention
Information and resources curated by Tricia Soto, Librarian and Independent Researcher
Showing posts with label Physical Activity. Show all posts
Showing posts with label Physical Activity. Show all posts
Thursday, October 03, 2013
Wednesday, August 15, 2012
Home environment relationships with children's physical activity, sedentary time, and screen time by socioeconomic status
Abstract
Background: Children in households of lower socioeconomic status (SES) are more likely to be overweight/obese. We aimed to determine if home physical activity (PA) environments differed by SES and to explore home environment mediators of the relation of family SES to children’s PA and sedentary behavior.
Methods: Participants were 715 children aged 6 to 11 from the Neighborhood Impact on Kids (NIK) Study. Household SES was examined using highest educational attainment and income. Home environment was measured by parent report on a survey. Outcomes were child’s accelerometer-measured PA and parent-reported screen time. Mediation analyses were conducted for home environment factors that varied by SES.
Results: Children from lower income households had greater media access in their bedrooms (TV 52% vs. 14%, DVD player 39% vs. 14%, video games 21% vs. 9%) but lower access to portable play equipment (bikes 85% vs. 98%, jump ropes 69% vs. 83%) compared to higher income children. Lower SES families had more restrictive rules about PA (2.5 vs. 2.0). Across SES, children watched TV/DVDs with parents/siblings more often than they engaged in PA with them. Parents of lower SES watched TV/DVDs with their children more often (3.1 vs. 2.5 days/week). Neither total daily and home-based MVPA nor sedentary time differed by SES. Children’s daily screen time varied from 1.7 hours/day in high SES to 2.4 in low SES families. Media in the bedroom was related to screen time, and screen time with parents was a mediator of the SES--screen time relationship.
Conclusions: Lower SES home environments provided more opportunities for sedentary behavior and fewer for PA. Removing electronic media from children’s bedrooms has the potential to reduce disparities in chronic disease risk.
Source: U.C. San Diego [via eScholarship Repository]
Download the pdf full report: Home environment relationships with children's physical activity, sedentary time, and screen time by socioeconomic status
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