Mobile home residence as a risk factor for adverse events among children in a mixed rural–urban community: A case for geospatial analysis
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. We conducted a population-based cohort study of children (<18 years) living in O...
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Published in | Journal of clinical and translational science Vol. 4; no. 5; pp. 443 - 450 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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England
Cambridge University Press
01.10.2020
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Abstract | 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.
We conducted a population-based cohort study of children (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics (; 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).
Of the 30,227 eligible children (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22-2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes.
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. |
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AbstractList | Abstract 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 (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics ($$Relative\;Difference = {\rm{ }}{{Observed\;Case\;Density - Expected\;Case\;Density} \over {Expected\;Case\;Density}}$$; 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 (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22–2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes. 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. 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.BACKGROUNDGiven 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.We conducted a population-based cohort study of children (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics (; 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).METHODSWe conducted a population-based cohort study of children (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics (; 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).Of the 30,227 eligible children (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22-2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes.RESULTSOf the 30,227 eligible children (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22-2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes.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.CONCLUSIONSMHC 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. 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. We conducted a population-based cohort study of children (<18 years) living in Olmsted County, Minnesota, to assess geographic patterns of AEs between April 2004 and March 2009 using International Classification of Diseases, Ninth Revision codes. We identified hotspots by calculating the relative difference between observed and expected case densities accounting for population characteristics (; 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). Of the 30,227 eligible children (<18 years), 974 (3.2%) experienced at least one AE. Of the nine total hotspots identified, five were mobile home communities (MHCs). Among non-Hispanic White children (85% of total children), those living in MHCs had higher AE prevalence compared to those outside MHCs, independent of SES (mean posterior odds ratio: 1.80; 95% credible interval: 1.22-2.54). MHC residency in minority children was not associated with higher prevalence of AEs. Of addresses requiring manual correction, 85.5% belonged to mobile homes. 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. |
Author | Zahrieh, David Wheeler, Philip H. Wi, Chung-Il Bjur, Kara A. Ryu, Euijung Juhn, Young J. Derauf, Chris Patel, Archna A. |
AuthorAffiliation | 4 Child and Family Advocacy Program, Mayo Clinic , Rochester , MN , USA 1 Alix School of Medicine, Mayo Clinic , Rochester , MN , USA 2 Precision Population Science Lab, Mayo Clinic , Rochester , MN , USA 3 Department of Pediatric and Adolescent Medicine, Mayo Clinic , Rochester , MN , USA 5 Department of Health Sciences Research, Mayo Clinic , Rochester , MN , USA 6 Department of Anesthesiology, Mayo Clinic , Rochester , MN , USA |
AuthorAffiliation_xml | – name: 3 Department of Pediatric and Adolescent Medicine, Mayo Clinic , Rochester , MN , USA – name: 5 Department of Health Sciences Research, Mayo Clinic , Rochester , MN , USA – name: 6 Department of Anesthesiology, Mayo Clinic , Rochester , MN , USA – name: 2 Precision Population Science Lab, Mayo Clinic , Rochester , MN , USA – name: 1 Alix School of Medicine, Mayo Clinic , Rochester , MN , USA – name: 4 Child and Family Advocacy Program, Mayo Clinic , Rochester , MN , USA |
Author_xml | – sequence: 1 givenname: Archna A. orcidid: 0000-0003-2753-1744 surname: Patel fullname: Patel, Archna A. – sequence: 2 givenname: Philip H. surname: Wheeler fullname: Wheeler, Philip H. – sequence: 3 givenname: Chung-Il surname: Wi fullname: Wi, Chung-Il – sequence: 4 givenname: Chris surname: Derauf fullname: Derauf, Chris – sequence: 5 givenname: Euijung surname: Ryu fullname: Ryu, Euijung – sequence: 6 givenname: David surname: Zahrieh fullname: Zahrieh, David – sequence: 7 givenname: Kara A. surname: Bjur fullname: Bjur, Kara A. – sequence: 8 givenname: Young J. surname: Juhn fullname: Juhn, Young J. |
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CitedBy_id | crossref_primary_10_1017_cts_2021_885 crossref_primary_10_1016_j_mayocpiqo_2021_06_011 crossref_primary_10_1093_jamia_ocac052 crossref_primary_10_1016_j_mcpdig_2024_04_001 |
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Keywords | Mobile home geospatial children hotspot rural adverse events socioeconomic status |
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Snippet | Given the significant health effects, we assessed geospatial patterns of adverse events (AEs), defined as physical or sexual abuse and accidents or poisonings... Abstract Background: Given the significant health effects, we assessed geospatial patterns of adverse events (AEs), defined as physical or sexual abuse and... |
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SubjectTerms | adverse events children geospatial hotspot Mobile home Research Methods and Technology rural socioeconomic status |
Title | Mobile home residence as a risk factor for adverse events among children in a mixed rural–urban community: A case for geospatial analysis |
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