Investigation of geographic disparities of pre-diabetes and diabetes in Florida
Abstract Background Diabetes is a leading cause of death and disability in the United States, and its precursor, pre-diabetes, is estimated to occur in one-third of American adults. Understanding the geographic disparities in the distribution of these conditions and identifying high-prevalence areas...
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| Format: | Article |
| Language: | English |
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BMC
2020-08-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-020-09311-2 |
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| author | Jennifer Lord Shamarial Roberson Agricola Odoi |
| author_facet | Jennifer Lord Shamarial Roberson Agricola Odoi |
| author_sort | Jennifer Lord |
| collection | DOAJ |
| description | Abstract Background Diabetes is a leading cause of death and disability in the United States, and its precursor, pre-diabetes, is estimated to occur in one-third of American adults. Understanding the geographic disparities in the distribution of these conditions and identifying high-prevalence areas is critical to guiding control and prevention programs. Therefore, the objective of this study was to investigate clusters of pre-diabetes and diabetes risk in Florida and identify significant predictors of the conditions. Methods Data from the 2013 Behavioral Risk Factor Surveillance System were obtained from the Florida Department of Health. Spatial scan statistics were used to identify and locate significant high-prevalence local clusters. The county prevalence proportions of pre-diabetes and diabetes and the identified significant clusters were displayed in maps. Logistic regression was used to identify significant predictors of the two conditions for individuals living within and outside high-prevalence clusters. Results The study included a total of 34,186 respondents. The overall prevalence of pre-diabetes and diabetes were 8.2 and 11.5%, respectively. Three significant (p < 0.05) local, high-prevalence spatial clusters were detected for pre-diabetes, while five were detected for diabetes. The counties within the high-prevalence clusters had prevalence ratios ranging from 1.29 to 1.85. There were differences in the predictors of the conditions based on whether respondents lived within or outside high-prevalence clusters. Predictors of both pre-diabetes and diabetes regardless of region or place of residence were obesity/overweight, hypertension, and hypercholesterolemia. Income and physical activity level were significant predictors of diabetes but not pre-diabetes. Arthritis, sex, and marital status were significant predictors of diabetes only among residents of high-prevalence clusters, while educational attainment and smoking were significant predictors of diabetes only among residents of non-cluster counties. Conclusions Geographic disparities of pre-diabetes and diabetes exist in Florida. Information from this study is useful for guiding resource allocation and targeting of intervention programs focusing on identified modifiable predictors of pre-diabetes and diabetes so as to reduce health disparities and improve the health of all Floridians. |
| first_indexed | 2024-12-12T20:05:12Z |
| format | Article |
| id | doaj.art-be870db6bc2148d280c0afb80093856f |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-12T20:05:12Z |
| publishDate | 2020-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-be870db6bc2148d280c0afb80093856f2022-12-22T00:13:39ZengBMCBMC Public Health1471-24582020-08-0120111510.1186/s12889-020-09311-2Investigation of geographic disparities of pre-diabetes and diabetes in FloridaJennifer Lord0Shamarial Roberson1Agricola Odoi2Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of TennesseeBureau of Chronic Disease Prevention, Division of Community Health Promotion, Florida Department of HealthDepartment of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, The University of TennesseeAbstract Background Diabetes is a leading cause of death and disability in the United States, and its precursor, pre-diabetes, is estimated to occur in one-third of American adults. Understanding the geographic disparities in the distribution of these conditions and identifying high-prevalence areas is critical to guiding control and prevention programs. Therefore, the objective of this study was to investigate clusters of pre-diabetes and diabetes risk in Florida and identify significant predictors of the conditions. Methods Data from the 2013 Behavioral Risk Factor Surveillance System were obtained from the Florida Department of Health. Spatial scan statistics were used to identify and locate significant high-prevalence local clusters. The county prevalence proportions of pre-diabetes and diabetes and the identified significant clusters were displayed in maps. Logistic regression was used to identify significant predictors of the two conditions for individuals living within and outside high-prevalence clusters. Results The study included a total of 34,186 respondents. The overall prevalence of pre-diabetes and diabetes were 8.2 and 11.5%, respectively. Three significant (p < 0.05) local, high-prevalence spatial clusters were detected for pre-diabetes, while five were detected for diabetes. The counties within the high-prevalence clusters had prevalence ratios ranging from 1.29 to 1.85. There were differences in the predictors of the conditions based on whether respondents lived within or outside high-prevalence clusters. Predictors of both pre-diabetes and diabetes regardless of region or place of residence were obesity/overweight, hypertension, and hypercholesterolemia. Income and physical activity level were significant predictors of diabetes but not pre-diabetes. Arthritis, sex, and marital status were significant predictors of diabetes only among residents of high-prevalence clusters, while educational attainment and smoking were significant predictors of diabetes only among residents of non-cluster counties. Conclusions Geographic disparities of pre-diabetes and diabetes exist in Florida. Information from this study is useful for guiding resource allocation and targeting of intervention programs focusing on identified modifiable predictors of pre-diabetes and diabetes so as to reduce health disparities and improve the health of all Floridians.http://link.springer.com/article/10.1186/s12889-020-09311-2Pre-diabetesDiabetesSpatial epidemiologyGeographic disparitiesBehavioral Risk Factor Surveillance SystemFlorida |
| spellingShingle | Jennifer Lord Shamarial Roberson Agricola Odoi Investigation of geographic disparities of pre-diabetes and diabetes in Florida BMC Public Health Pre-diabetes Diabetes Spatial epidemiology Geographic disparities Behavioral Risk Factor Surveillance System Florida |
| title | Investigation of geographic disparities of pre-diabetes and diabetes in Florida |
| title_full | Investigation of geographic disparities of pre-diabetes and diabetes in Florida |
| title_fullStr | Investigation of geographic disparities of pre-diabetes and diabetes in Florida |
| title_full_unstemmed | Investigation of geographic disparities of pre-diabetes and diabetes in Florida |
| title_short | Investigation of geographic disparities of pre-diabetes and diabetes in Florida |
| title_sort | investigation of geographic disparities of pre diabetes and diabetes in florida |
| topic | Pre-diabetes Diabetes Spatial epidemiology Geographic disparities Behavioral Risk Factor Surveillance System Florida |
| url | http://link.springer.com/article/10.1186/s12889-020-09311-2 |
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