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Characteristics of Movers and Predictors of Residential Mobility in the Atherosclerosis Risk in Communities (ARIC) Cohort

Overview
Journal Health Place
Publisher Elsevier
Specialty Public Health
Date 2022 Mar 5
PMID 35247797
Authors
Erin E Bennett
Katie M Lynch
Xiaohui Xu
Eun Sug Park
Qi Ying
Jingkai Wei
Richard L Smith
James D Stewart
Eric A Whitsel
Melinda C Power
Affiliations
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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.

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References
1.
Hodgson S, Shirley M, Bythell M, Rankin J . Residential mobility during pregnancy in the north of England. BMC Pregnancy Childbirth. 2009; 9:52. PMC: 2784435. DOI: 10.1186/1471-2393-9-52. View
2.
Gilman S, Kawachi I, Fitzmaurice G, Buka L . Socio-economic status, family disruption and residential stability in childhood: relation to onset, recurrence and remission of major depression. Psychol Med. 2003; 33(8):1341-55. DOI: 10.1017/s0033291703008377. View
3.
van der Pers M, Kibele E, Mulder C . Health and Its Relationship with Residential Relocations of Older People to Institutions versus to Independent Dwellings. J Popul Ageing. 2018; 11(4):329-347. PMC: 6244923. DOI: 10.1007/s12062-017-9187-1. View
4.
Kim S, Olives C, Sheppard L, Sampson P, Larson T, Keller J . Historical Prediction Modeling Approach for Estimating Long-Term Concentrations of PM2.5 in Cohort Studies before the 1999 Implementation of Widespread Monitoring. Environ Health Perspect. 2016; 125(1):38-46. PMC: 5226688. DOI: 10.1289/EHP131. View
5.
Brokamp C, LeMasters G, Ryan P . Residential mobility impacts exposure assessment and community socioeconomic characteristics in longitudinal epidemiology studies. J Expo Sci Environ Epidemiol. 2016; 26(4):428-34. PMC: 4913165. DOI: 10.1038/jes.2016.10. View