| Literature DB >> 25463919 |
Patricia O'Campo1, Blair Wheaton2, Rosane Nisenbaum3, Richard H Glazier4, James R Dunn5, Catharine Chambers3.
Abstract
Many cross-sectional studies of neighbourhood effects on health do not employ strong study design elements. The Neighbourhood Effects on Health and Well-being (NEHW) study, a random sample of 2412 English-speaking Toronto residents (age 25-64), utilises strong design features for sampling neighbourhoods and individuals, characterising neighbourhoods using a variety of data sources, measuring a wide range of health outcomes, and for analysing cross-level interactions. We describe here methodological issues that shaped the design and analysis features of the NEHW study to ensure that, while a cross-sectional sample, it will advance the quality of evidence emerging from observational studies.Keywords: Cross-level interactions; Health; Multilevel; Neighbourhood; Sampling
Mesh:
Year: 2014 PMID: 25463919 DOI: 10.1016/j.healthplace.2014.11.001
Source DB: PubMed Journal: Health Place ISSN: 1353-8292 Impact factor: 4.078