Journal
HEALTH & PLACE
Volume 31, Issue -, Pages 65-74Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.healthplace.2014.11.001
Keywords
Health; Neighbourhood; Multilevel; Cross-level interactions; Sampling
Categories
Funding
- Canadian Institute for Health Research [MOP-84439]
- Social Science and Health Research Council [410-2007-1499]
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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. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
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