Elsevier, Health and Place, Volume 31, January 01, 2015
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.
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Keywords:
Adult; Age Distribution; Aged; Anxiety; Article; Body Mass; Body Mass Index; Canada; Chronic Disease; Cross-Sectional Studies; Cross-level Interactions; Cross-sectional Study; Demography; Depression; Educational Status; Female; Health; Health Status; Human; Humans; Interview; Interviews As Topic; Male; Methodology; Middle Aged; Multilevel; Neighborhood; Neighbourhood; Observational Study; Ontario; Ontario [Canada]; Physical Activity; Public Health; Quality Of Life; Research Design; Residence Characteristics; Sampling; Sex Difference; Social Control; Social Environment; Social Status; Toronto; Urban Population; Wellbeing; North America
