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Int J Behav Nutr Phys Act. 2010 Oct 07;7:72. doi: 10.1186/1479-5868-7-72.

Developing measures on the perceptions of the built environment for physical activity: a confirmatory analysis.

The international journal of behavioral nutrition and physical activity

Jennifer L Gay, Kelly R Evenson, Jessalyn Smith

Affiliations

  1. Division of Behavioral Sciences and Health Promotion, University of Texas School of Public Health, Brownsville, TX, USA. [email protected].

PMID: 20929571 PMCID: PMC2959084 DOI: 10.1186/1479-5868-7-72

Abstract

BACKGROUND: Minimal validity evidence exists for scales assessing the built environment for physical activity. The purpose of this study was to assess the test-retest reliability and invariance of a three-factor model (Neighborhood Characteristics, Safety/Crime, and Access to Physical Activity Facilities) across gender, race, geographic location, and level of physical activity.

METHODS: To assess measurement invariance, a random sample of 1,534 adults living in North Carolina or Mississippi completed a computer assisted telephone interview that included items examining perceptions of the neighborhood for physical activity. Construct level test-retest reliability data were collected from a purposeful sample of 106 participants who were administered the questionnaire twice, approximately two weeks apart. Fit indices, Cronbach's alpha, Mokken H and Spearman correlation coefficients (SCC) were used to evaluate configural and co/variance invarianc,e and intraclass correlation coefficients (ICC) were used to assess reliability.

RESULTS: Construct test-retest reliability was strong (ICC 0.90 to 0.93). SCC for Neighborhood Characteristics and Crime/Safety were weak with Access (0.21 and 0.25), but strong between Crime/Safety and Neighborhood Characteristics (0.62). Acceptable fit and evidence of measurement invariance was found for gender, race (African American and White), geographic location, and level of physical activity. Fit indices consistently approached or were greater than 0.90 for goodness of fit index, normed fit index, and comparative fit index which is evidence of configural invariance. There was weak support of variance and covariance invariance for all groups that was indicative of factorial validity.

CONCLUSIONS: Support of the validity and reliability of the three-factor model across groups expands the possibilities for analysis to include latent variable modeling, and suggests these built environment constructs may be used in other settings and populations.

References

  1. Am J Health Behav. 2010 Jul-Aug;34(4):420-31 - PubMed
  2. Res Q Exerc Sport. 1997 Dec;68(4):345-51 - PubMed
  3. Med Sci Sports Exerc. 2006 Sep;38(9):1682-91 - PubMed
  4. Am J Prev Med. 2009 Apr;36(4 Suppl):S99-123.e12 - PubMed
  5. Am J Prev Med. 2009 Apr;36(4 Suppl):S86-92 - PubMed
  6. Multivariate Behav Res. 1997 Jan 1;32(1):53-76 - PubMed
  7. J Phys Act Health. 2009;6 Suppl 1:S9-17 - PubMed
  8. Med Sci Sports Exerc. 2007 Aug;39(8):1267-74 - PubMed
  9. Soc Sci Med. 2003 Apr;56(8):1693-703 - PubMed
  10. Biometrics. 1977 Mar;33(1):159-74 - PubMed
  11. Int J Behav Nutr Phys Act. 2009 Jun 09;6:32 - PubMed
  12. Med Sci Sports Exerc. 2007 Aug;39(8):1423-34 - PubMed
  13. Exerc Sport Sci Rev. 2005 Oct;33(4):175-81 - PubMed
  14. Int J Behav Nutr Phys Act. 2005 Jun 15;2:7 - PubMed
  15. Exp Aging Res. 1992 Autumn-Winter;18(3-4):117-44 - PubMed

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