Mobile home residence as a risk factor for adverse events among children in a mixed rural–urban community: A case for geospatial analysis
| Autor: | Kara A. Bjur, Philip H. Wheeler, Chung Il Wi, David Zahrieh, Chris Derauf, Archna A. Patel, Young J. Juhn, Euijung Ryu |
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| Rok vydání: | 2020 |
| Předmět: |
Mobile home
Population Research Methods and Technology 030204 cardiovascular system & hematology Logistic regression socioeconomic status 03 medical and health sciences Underserved Population 0302 clinical medicine children Medicine 030212 general & internal medicine education Socioeconomic status geospatial education.field_of_study business.industry General Medicine Odds ratio adverse events Sexual abuse Residence rural hotspot business Research Article Cohort study Demography |
| Zdroj: | Journal of Clinical and Translational Science |
| ISSN: | 2059-8661 |
| DOI: | 10.1017/cts.2020.34 |
| Popis: | Background:Given the significant health effects, we assessed geospatial patterns of adverse events (AEs), defined as physical or sexual abuse and accidents or poisonings at home, among children in a mixed rural–urban community.Methods:We conducted a population-based cohort study of children ($$Relative\;Difference = {\rm{ }}{{Observed\;Case\;Density - Expected\;Case\;Density} \over {Expected\;Case\;Density}}$$; hotspot ≥ 0.33) using kernel density methods. A Bayesian geospatial logistic regression model was used to test for association of subject characteristics (including residential features) with AEs, adjusting for age, sex, and socioeconomic status (SES).Results:Of the 30,227 eligible children (Conclusions:MHC residence is a significant unrecognized risk factor for AEs among non-Hispanic, White children in a mixed rural–urban community. Given plausible outreach difficulty due to address discrepancies, MHC residents might be a geographically underserved population for clinical care and research. |
| Databáze: | OpenAIRE |
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