Characteristics of movers and predictors of residential mobility in the Atherosclerosis Risk in Communities (ARIC) cohort. Academic Article

abstract

• Current efforts to characterize movers and identify predictors of moving have been limited. We used the ARIC cohort to characterize non-movers, short-distance movers, and long-distance movers, and employed best subset algorithms to identify important predictors of moving, including interactions between characteristics. Short- and long-distance movers were notably different from non-movers, and important predictors of moving differed based on the distance of the residential move. Importantly, systematic inclusion of interaction terms enhanced model fit and was substantively meaningful. This work has important implications for epidemiologic studies of contextual exposures and those treating residential mobility as an exposure.

authors

• Park, Eun
• Xu, Xiaohui
• Ying, Qi

published proceedings

• Health Place

author list (cited authors)

• Bennett, E. E., Lynch, K. M., Xu, X., Park, E. S., Ying, Q. i., Wei, J., ... Power, M. C.

citation count

• 0

complete list of authors

• Bennett, Erin E||Lynch, Katie M||Xu, Xiaohui||Park, Eun Sug||Ying, Qi||Wei, Jingkai||Smith, Richard L||Stewart, James D||Whitsel, Eric A||Power, Melinda C

publication date

• January 2022

publisher

• Elsevier  Publisher

published in

• Health and Place  Journal

keywords

• Atherosclerosis
• Epidemiology
• Exposure Misclassification
• Humans
• Population Dynamics
• Residence Characteristics
• Residential Mobility
• Selection Bias

Digital Object Identifier (DOI)

• 10.1016/j.healthplace.2022.102771

start page

• 102771

end page

• 102771

volume

• 74

URL

• http://dx.doi.org/10.1016/j.healthplace.2022.102771