TitlePredictors of discordance between perceived and objective neighborhood data.
Publication TypeJournal Article
Year of Publication2014
AuthorsBailey, EJ, Malecki, KC, Engelman, CD, Walsh, MC, Bersch, AJ, Martinez-Donate, AP, Peppard, PE, F. Nieto, J
JournalAnn Epidemiol
Volume24
Issue3
Pagination214-21
Date Published2014 Mar
ISSN1873-2585
KeywordsEnvironment Design, Female, Health Behavior, Health Surveys, Humans, Life Style, Male, Perception, Population Surveillance, Recreation, Regression Analysis, Residence Characteristics, Rural Population, Socioeconomic Factors, Surveys and Questionnaires, Urban Population
Abstract
 

PURPOSE: Pathways by which the social and built environments affect health can be influenced by differences between perception and reality. This discordance is important for understanding health impacts of the built environment. This study examines associations between perceived and objective measures of 12 nonresidential destinations, as well as previously unexplored sociodemographic, lifestyle, neighborhood, and urbanicity predictors of discordance.

METHODS: Perceived neighborhood data were collected from participants of the Survey of the Health of Wisconsin, using a self-administered questionnaire. Objective data were collected using the Wisconsin Assessment of the Social and Built Environment, an audit-based instrument assessing built environment features around each participant's residence.

RESULTS: Overall, there was relatively high agreement, ranging from 50% for proximity to parks to more than 90% for golf courses. Higher education, positive neighborhood perceptions, and rurality were negatively associated with discordance. Associations between discordance and depression, disease status, and lifestyle factors appeared to be modified by urbanicity level.

CONCLUSIONS: These data show perceived and objective neighborhood environment data are not interchangeable and the level of discordance is associated with or modified by individual and neighborhood factors, including the level of urbanicity. These results suggest that consideration should be given to including both types of measures in future studies.

DOI10.1016/j.annepidem.2013.12.007
Alternate JournalAnn Epidemiol
PubMed ID24467991
PubMed Central IDPMC3947547
Grant ListUL1 TR000427 / TR / NCATS NIH HHS / United States
1 RC2HL101468 / HL / NHLBI NIH HHS / United States
5UL 1RR025011 / RR / NCRR NIH HHS / United States
RC2 HL101468 / HL / NHLBI NIH HHS / United States
P2C HD047873 / HD / NICHD NIH HHS / United States