Study of a Smart Growth Community's Effect on Prevention of Obesity in Middle-, Moderately Low- and Low-Income Families
RATIONALE: Overweight and obesity have been associated with multiple types of disease, including cancer. Living in a smart growth community may encourage behaviors that would reduce the risk of obesity.
PURPOSE: This research study is looking at the effect of a smart growth community on prevention of obesity in middle-, moderately low- and low-income families.
Healthy, no Evidence of Disease
Other: questionnaire administration
Other: study of socioeconomic and demographic variables
Other: survey administration
Procedure: study of high risk factors
|Official Title:||Effects of A Smart Growth Community on Prevention of Family Obesity Risks|
- Levels of physical activity and pro-healthy lifestyle attitudes [ Designated as safety issue: No ]
- Body-mass index [ Designated as safety issue: No ]
- Trajectories of physical activity and the relationship to obesity risk [ Designated as safety issue: No ]
|Study Start Date:||April 2008|
|Study Completion Date:||February 2013|
|Primary Completion Date:||February 2013 (Final data collection date for primary outcome measure)|
- To evaluate the effects of the whole set as well as individual smart growth principles on prevention of obesity risk in middle, moderately low, and low-income families who reside in a smart growth community, the Preserve, compared to two types of control groups of families who reside in other communities that may naturally vary in exposure to these principles.
- To evaluate the longitudinal-mediational relationship between increased activity and pro-health attitudes achieved in the smart growth community to lower obesity risk.
- To identify trajectories of physical activity over time and evaluate their relationship to obesity risk, including high-stable, early-onset stable, early-onset short-term, and low-stable trajectories.
- To evaluate demographic x type of community (smart growth vs other) interactions (with the major ethnic groups representing Hispanic vs white), gender, parent vs child on outcomes, as well as on obesogenic trajectories.
- To evaluate a possible "chaining" or translational effect, i.e., whether effects of living in a smart growth community generalize to changes in eating behavior as part of a general change in health attitudes.
- To assess whether neighborhoods where physical activity actually takes place (defined as 0.5 square-mile area and 10-15 walking distance from residence, school [for children], work or equivalent [for index adult], and leisure), contribute significantly to physical activity and eating behavior beyond the effect of smart growth community residence.
- To determine whether some individual smart growth principles may have a relatively greater impact on obesity risk than others, in both intervention and control communities.
- To assess whether physical activity trajectories other than those hypothesized can be identified for their predictive relationship to obesity prevention.
OUTLINE: Participants receive an accelerometer monitor and are instructed to wear it for 7 continuous days (except when sleeping, bathing, or swimming) on the right hip attached to an adjusted belt to assess physical activity. Participants also undergo anthropometric measures (height and weight) using a calibrated digital scale and professional stadiometer.
Participants complete surveys and questionnaires on Self-reported Physical Activity, Self-reported Dietary Intake, and Social Network Survey. Participants also complete other self-reported items assessing demographic characteristics, family finances, health status, health history, length of current residence, home-relocation patterns, time use and transportation patterns, substance use, depression, sleeping habits, fast-food consumption, and school and work addresses.
PROJECTED ACCRUAL: A total of 390 families living in The Preserve, 195 families who were not chosen to live in The Preserve, and 195 control families who live in the surrounding area will be accrued for this study.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00986011
|United States, California|
|USC/Norris Comprehensive Cancer Center and Hospital|
|Los Angeles, California, United States, 90089-9181|
|Principal Investigator:||Mary Ann Pentz, PhD||University of Southern California|