Investigating neighbourhood effects on health: Using community-survey data for developing neighbourhood-related constructs

Objective Structural and social neighbourhood constructs have been developed for studying a neighbourhood’s influence on a variety of health outcomes; community surveys are being increasingly used for capturing such information. This paper has proposed a six-fold approach which integrates existing m...

Full description

Autores:
Caicedo Velásquez, Beatriz
Jones, Kelvyn
Tipo de recurso:
Article of investigation
Fecha de publicación:
2014
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/47037
Acceso en línea:
https://hdl.handle.net/10495/47037
Palabra clave:
Características de la Residencia
Residence Characteristics
Recolección de Datos
Data Collection
Métodos Epidemiológicos
Epidemiologic Methods
Psicometría
Psychometrics
Análisis Multinivel
Multilevel Analysis
Factores Socioeconómicos
Socioeconomic Factors
https://id.nlm.nih.gov/mesh/D012111
https://id.nlm.nih.gov/mesh/D003625
https://id.nlm.nih.gov/mesh/D004812
https://id.nlm.nih.gov/mesh/D011594
https://id.nlm.nih.gov/mesh/D055361
https://id.nlm.nih.gov/mesh/D012959
ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades
Rights
openAccess
License
https://creativecommons.org/licenses/by/4.0/
Description
Summary:Objective Structural and social neighbourhood constructs have been developed for studying a neighbourhood’s influence on a variety of health outcomes; community surveys are being increasingly used for capturing such information. This paper has proposed a six-fold approach which integrates existing methodologies (i.e. multilevel factor analysis, ecometrics, multilevel spatial multiple membership models and multilevel latent class analysis) for estimating reliable and valid measurement of neighbourhood conditions. Methods The proposed approach used seven demographic and socioeconomic variables reported in a community survey by 20,413 individuals residing in 244 neighbourhoods in Medellin, Colombia, to measure structural neighbourhood conditions. Results The set of variables reliably measured one neighbourhood construct: the deprivation index; this showed significant variation between neighbourhoods as well as significant spatial clustering across the city. Conclusions The approach presented here should enable public health researchers to better estimate neighbourhood indicators and may result in more accurate assessment of the relationship between neighbourhood characteristics and individual-level health outcomes.