Study of a Smart Growth Community's Effect on Prevention of Obesity in Middle-, Moderately Low- and Low-Income Families

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00986011
Recruitment Status : Completed
First Posted : September 29, 2009
Last Update Posted : July 10, 2013
National Cancer Institute (NCI)
Information provided by:
National Cancer Institute (NCI)

September 26, 2009
September 29, 2009
July 10, 2013
April 2008
February 2013   (Final data collection date for primary outcome measure)
  • Levels of physical activity and pro-healthy lifestyle attitudes
  • Body-mass index
  • Trajectories of physical activity and the relationship to obesity risk
Same as current
Complete list of historical versions of study NCT00986011 on Archive Site
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Study of a Smart Growth Community's Effect on Prevention of Obesity in Middle-, Moderately Low- and Low-Income Families
Effects of A Smart Growth Community on Prevention of Family Obesity Risks

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.



  • 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.

Secondary (exploratory)

  • 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.

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  • Healthy, no Evidence of Disease
  • Obesity
  • Weight Changes
  • Other: questionnaire administration
  • Other: study of socioeconomic and demographic variables
  • Other: survey administration
  • Procedure: study of high risk factors
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Dunton GF, Liao Y, Almanza E, Jerrett M, Spruijt-Metz D, Pentz MA. Locations of joint physical activity in parent-child pairs based on accelerometer and GPS monitoring. Ann Behav Med. 2013 Feb;45 Suppl 1:S162-72. doi: 10.1007/s12160-012-9417-y.

*   Includes publications given by the data provider as well as publications identified by Identifier (NCT Number) in Medline.
Same as current
February 2013
February 2013   (Final data collection date for primary outcome measure)


  • Must meet 1 of the following criteria:

    • Residents who live in The Preserve, a smart growth community in Chino, California

      • Chosen by lottery to live in The Preserve
    • Prospective buyers and renters for residences in The Preserve (but were not chosen to live in The Preserve) living in the following communities and/or cities:

      • Ontario
      • Pomona
      • Diamond Bar
      • Corona
      • Yorba Linda/Mira Loma
      • Chino
    • Families from Chino and surrounding communities within a 30-minute drive from The Preserve
  • Families with children in grades 4-8 must meet the following criteria:

    • Each family unit consists of 1 index parent defined as the parent who spends relatively more time in the neighborhood on a daily basis
    • An index child defined as a 4th-8th-grade child
  • Income levels range from very-low income to middle income ($20-$165,000) based on Area Median Income


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Sexes Eligible for Study: All
Child, Adult, Older Adult
Contact information is only displayed when the study is recruiting subjects
United States
CDR0000655182 ( Registry Identifier: PDQ (Physician Data Query) )
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Mary Ann Pentz, USC/Norris Comprehensive Cancer Center and Hospital
University of Southern California
National Cancer Institute (NCI)
Principal Investigator: Mary Ann Pentz, PhD University of Southern California
National Cancer Institute (NCI)
September 2009