Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/82187
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Type: Journal article
Title: Perceived neighborhood problems: multilevel analysis to evaluate psychometric properties in a Southern adult Brazilian population
Author: Hofelmann, D.
Diez Roux, A.
Antunes, J.
De Anselmo Peres, M.
Citation: BMC Public Health, 2013; 13(1):1-10
Publisher: BioMed Central Ltd.
Issue Date: 2013
ISSN: 1471-2458
1471-2458
Statement of
Responsibility: 
Doroteia Aparecida Höfelmann, Ana V Diez-Roux, José Leopoldo Ferreira Antunes and Marco Aurélio Peres
Abstract: Background: Physical attributes of the places in which people live, as well as their perceptions of them, may be important health determinants. The perception of place in which people dwell may impact on individual health and may be a more telling indicator for individual health than objective neighborhood characteristics. This paper aims to evaluate psychometric and ecometric properties of a scale on the perceptions of neighborhood problems in adults from Florianopolis, Southern Brazil. Methods: Individual, census tract level (per capita monthly familiar income) and neighborhood problems perception (physical and social disorders) variables were investigated. Multilevel models (items nested within persons, persons nested within neighborhoods) were run to assess ecometric properties of variables assessing neighborhood problems. Results: The response rate was 85.3%, (1,720 adults). Participants were distributed in 63 census tracts. Two scales were identified using 16 items: Physical Problems and Social Disorder. The ecometric properties of the scales satisfactory: 0.24 to 0.28 for the intra-class correlation and 0.94 to 0.96 for reliability. Higher values on the scales of problems in the physical and social domains were associated with younger age, more length of time residing in the same neighborhood and lower census tract income level. Conclusions: The findings support the usefulness of these scales to measure physical and social disorder problems in neighborhoods.
Keywords: Residence characteristics
Epidemiologic methods
Self report
Data collection
Rights: © 2013 Höfelmann et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1186/1471-2458-13-1085
Published version: http://dx.doi.org/10.1186/1471-2458-13-1085
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