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When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey

INTRODUCTION: Estimates indicate that 86 million people in the United States fit the clinical definition of prediabetes, which contributes to the epidemic of nearly 2 million new diagnoses of type 2 diabetes mellitus each year. Effort has focused on preventing prediabetes from progressing to clinica...

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Autores principales: Iranfar, Negin, Smith, Tyler C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871353/
https://www.ncbi.nlm.nih.gov/pubmed/29565786
http://dx.doi.org/10.5888/pcd15.170158
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author Iranfar, Negin
Smith, Tyler C.
author_facet Iranfar, Negin
Smith, Tyler C.
author_sort Iranfar, Negin
collection PubMed
description INTRODUCTION: Estimates indicate that 86 million people in the United States fit the clinical definition of prediabetes, which contributes to the epidemic of nearly 2 million new diagnoses of type 2 diabetes mellitus each year. Effort has focused on preventing prediabetes from progressing to clinical diabetes. We investigated the sociodemographic, behavioral, and health factors in people diagnosed with diabetes or prediabetes and associated leading indicators and comorbidities. METHODS: We used Behavioral Risk Factor Surveillance System data from 2011 through 2015 (N = 1,699,754). All respondents aged 18 years or older with complete covariate data were included, differentiating between self-reported diagnosis of diabetes or prediabetes. Weighted univariate and multivariable logistic regression analyses of 28 variables were developed, with adjusted odds of diagnosis, and standardized coefficients were calculated to rank predictors for diabetes and prediabetes. RESULTS: Prevalence of prediabetes increased each year between 2011 and 2014. After adjusting for demographic, lifestyle, and health variables, the most significant predictors in magnitude of importance for prediabetes and diabetes were age and body mass index. Although adjusted odds for cardiovascular disease and kidney disease were higher in respondents with diabetes than in those with prediabetes, respondents with prediabetes had higher adjusted odds of arthritis, depressive disorder, cancer, and chronic obstructive pulmonary disease. CONCLUSIONS: Concurrent chronic diseases occur in people with prediabetes even at normal and overweight classifications. By identifying the conditions that are concomitant with diabetes, people with prediabetes can be provided with more rigorous and individualized treatments that can lead to better population health.
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spelling pubmed-58713532018-04-09 When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey Iranfar, Negin Smith, Tyler C. Prev Chronic Dis Original Research INTRODUCTION: Estimates indicate that 86 million people in the United States fit the clinical definition of prediabetes, which contributes to the epidemic of nearly 2 million new diagnoses of type 2 diabetes mellitus each year. Effort has focused on preventing prediabetes from progressing to clinical diabetes. We investigated the sociodemographic, behavioral, and health factors in people diagnosed with diabetes or prediabetes and associated leading indicators and comorbidities. METHODS: We used Behavioral Risk Factor Surveillance System data from 2011 through 2015 (N = 1,699,754). All respondents aged 18 years or older with complete covariate data were included, differentiating between self-reported diagnosis of diabetes or prediabetes. Weighted univariate and multivariable logistic regression analyses of 28 variables were developed, with adjusted odds of diagnosis, and standardized coefficients were calculated to rank predictors for diabetes and prediabetes. RESULTS: Prevalence of prediabetes increased each year between 2011 and 2014. After adjusting for demographic, lifestyle, and health variables, the most significant predictors in magnitude of importance for prediabetes and diabetes were age and body mass index. Although adjusted odds for cardiovascular disease and kidney disease were higher in respondents with diabetes than in those with prediabetes, respondents with prediabetes had higher adjusted odds of arthritis, depressive disorder, cancer, and chronic obstructive pulmonary disease. CONCLUSIONS: Concurrent chronic diseases occur in people with prediabetes even at normal and overweight classifications. By identifying the conditions that are concomitant with diabetes, people with prediabetes can be provided with more rigorous and individualized treatments that can lead to better population health. Centers for Disease Control and Prevention 2018-03-22 /pmc/articles/PMC5871353/ /pubmed/29565786 http://dx.doi.org/10.5888/pcd15.170158 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Iranfar, Negin
Smith, Tyler C.
When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title_full When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title_fullStr When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title_full_unstemmed When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title_short When Should “Pre” Carry as Much Weight in the Diabetes Comorbidity Debate? Insights From a Population-Based Survey
title_sort when should “pre” carry as much weight in the diabetes comorbidity debate? insights from a population-based survey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871353/
https://www.ncbi.nlm.nih.gov/pubmed/29565786
http://dx.doi.org/10.5888/pcd15.170158
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