| Literature DB >> 26188587 |
Abstract
I contribute to understandings of how context is related to individual outcomes by assessing the added value of combining multilevel and spatial modeling techniques. This methodological approach leads to substantive contributions to the smoking literature, including improved clarity on the central contextual factors and the examination of one manifestation of the social acceptability hypothesis. For this analysis I use restricted-use natality data from the Vital Statistics, and county-level data from the 2005-9 ACS. Critically, the results suggest that spatial considerations are still relevant in a multilevel framework. In addition, I argue that spatial processes help explain the relationships linking racial/ethnic minority concentration to lower overall odds of smoking.Entities:
Keywords: Context; Health; Multilevel modeling; Place; Racial/ethnic composition; Space; Spatial modeling; United States
Mesh:
Year: 2015 PMID: 26188587 PMCID: PMC4532550 DOI: 10.1016/j.socscimed.2015.06.025
Source DB: PubMed Journal: Soc Sci Med ISSN: 0277-9536 Impact factor: 4.634