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Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan

Background: One of modifiable risk factors of diabetes is unhealthy diet which is related to obesity. Individuals with childhood obesity are at higher risk of adulthood obesity. School-based diabetes prevention programs are important to reduce childhood obesity. When resources are limited, evidence-...

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Autores principales: Nurjannah, Nurjannah, Baker, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750886/
https://www.ncbi.nlm.nih.gov/pubmed/33381471
http://dx.doi.org/10.4081/jphr.2020.1887
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author Nurjannah, Nurjannah
Baker, Kathleen M.
author_facet Nurjannah, Nurjannah
Baker, Kathleen M.
author_sort Nurjannah, Nurjannah
collection PubMed
description Background: One of modifiable risk factors of diabetes is unhealthy diet which is related to obesity. Individuals with childhood obesity are at higher risk of adulthood obesity. School-based diabetes prevention programs are important to reduce childhood obesity. When resources are limited, evidence-based priority need to be undertaken. However, data related to childhood obesity was not widely available, the study used diabetes-related death records as the proxy of diabetes burden. This study aimed to map and identify geographic variation of diabetes-related mortality rate by school district level in Michigan to be used for policy-relevant information. Design and Methods: This study used death records in Michigan. Diabetes-related mortality rate and years potential life lost (YPLL) was calculated at the school district level. Spatial autocorrelation local Moran’s I and geographically weighted regression were used to evaluate spatial pattern of age-adjusted diabetes-related mortality rate by school districts. Results: The age-adjusted diabetes-related mortality rate ranged from 17.0 (95% CI, 8.6-25.5) to 171.3 (95% CI, 135.9-206.7) deaths per 100,000 population. The YPLL per person ranged from 0 to 19.3 years (95% CI, 15.5-23.1). High rates of diabetes-related mortality rate and YPLL clustered in East central and Southeastern region of Lower Peninsula Michigan including Flint, Kearsley, Beecher, Westwood Heights, Detroit, Ecorse, River Rouge, Taylor, Allen Park and Lincoln Consolidated school districts. Conclusions: There was variation in diabetes burden examined by diabetes-related mortality rate and YPLL at the school district level within Michigan State. The high cluster can be prioritized for the intervention programs.
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spelling pubmed-77508862020-12-29 Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan Nurjannah, Nurjannah Baker, Kathleen M. J Public Health Res Article Background: One of modifiable risk factors of diabetes is unhealthy diet which is related to obesity. Individuals with childhood obesity are at higher risk of adulthood obesity. School-based diabetes prevention programs are important to reduce childhood obesity. When resources are limited, evidence-based priority need to be undertaken. However, data related to childhood obesity was not widely available, the study used diabetes-related death records as the proxy of diabetes burden. This study aimed to map and identify geographic variation of diabetes-related mortality rate by school district level in Michigan to be used for policy-relevant information. Design and Methods: This study used death records in Michigan. Diabetes-related mortality rate and years potential life lost (YPLL) was calculated at the school district level. Spatial autocorrelation local Moran’s I and geographically weighted regression were used to evaluate spatial pattern of age-adjusted diabetes-related mortality rate by school districts. Results: The age-adjusted diabetes-related mortality rate ranged from 17.0 (95% CI, 8.6-25.5) to 171.3 (95% CI, 135.9-206.7) deaths per 100,000 population. The YPLL per person ranged from 0 to 19.3 years (95% CI, 15.5-23.1). High rates of diabetes-related mortality rate and YPLL clustered in East central and Southeastern region of Lower Peninsula Michigan including Flint, Kearsley, Beecher, Westwood Heights, Detroit, Ecorse, River Rouge, Taylor, Allen Park and Lincoln Consolidated school districts. Conclusions: There was variation in diabetes burden examined by diabetes-related mortality rate and YPLL at the school district level within Michigan State. The high cluster can be prioritized for the intervention programs. PAGEPress Publications, Pavia, Italy 2020-12-14 /pmc/articles/PMC7750886/ /pubmed/33381471 http://dx.doi.org/10.4081/jphr.2020.1887 Text en ©Copyright: the Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Nurjannah, Nurjannah
Baker, Kathleen M.
Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title_full Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title_fullStr Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title_full_unstemmed Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title_short Using GIS and death records to inform statewide school-based diabetes prevention interventions in Michigan
title_sort using gis and death records to inform statewide school-based diabetes prevention interventions in michigan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750886/
https://www.ncbi.nlm.nih.gov/pubmed/33381471
http://dx.doi.org/10.4081/jphr.2020.1887
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