Cargando…
Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany
AIMS: To identify socioeconomic, behavioral and clinical factors that are associated with prediabetes according to different prediabetes definition criteria. METHODS: Analyses use pooled data of the population-based Cooperative Health Research in the Region of Augsburg (KORA) studies (n = 5312 obser...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Milan
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591423/ https://www.ncbi.nlm.nih.gov/pubmed/32748175 http://dx.doi.org/10.1007/s00592-020-01573-x |
_version_ | 1783600990493081600 |
---|---|
author | Greiner, Gregory G. Emmert-Fees, Karl M. F. Becker, Jana Rathmann, Wolfgang Thorand, Barbara Peters, Annette Quante, Anne S. Schwettmann, Lars Laxy, Michael |
author_facet | Greiner, Gregory G. Emmert-Fees, Karl M. F. Becker, Jana Rathmann, Wolfgang Thorand, Barbara Peters, Annette Quante, Anne S. Schwettmann, Lars Laxy, Michael |
author_sort | Greiner, Gregory G. |
collection | PubMed |
description | AIMS: To identify socioeconomic, behavioral and clinical factors that are associated with prediabetes according to different prediabetes definition criteria. METHODS: Analyses use pooled data of the population-based Cooperative Health Research in the Region of Augsburg (KORA) studies (n = 5312 observations aged ≥ 38 years without diabetes). Prediabetes was defined through either impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or elevated HbA1c according to thresholds of the American Diabetes Association. Explanatory variables were regressed on prediabetes using generalized estimating equations. RESULTS: Mean age was 58.4 years; 50% had prediabetes (33% had IFG, 16% IGT, and 26% elevated HbA1c, 10% fulfilled all three criteria). Age, obesity, hypertension, low education, unemployment, statutory health insurance, urban residence and physical inactivity were associated with prediabetes. Male sex was a stronger risk factor for IFG (OR = 2.5; 95%–CI: 2.2–2.9) than for IGT or elevated HbA1c, and being unemployed was a stronger risk factor for IGT (OR = 3.2 95%–CI: 2.6–4.0) than for IFG or elevated HbA1c. CONCLUSIONS: The overlap of people with IFG, IGT and elevated HbA1c is small, and some factors are associated with only one criterion. Knowledge on sociodemographic and socioeconomic risk factors can be used to effectively target interventions to people at high risk for type 2 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00592-020-01573-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7591423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Milan |
record_format | MEDLINE/PubMed |
spelling | pubmed-75914232020-10-29 Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany Greiner, Gregory G. Emmert-Fees, Karl M. F. Becker, Jana Rathmann, Wolfgang Thorand, Barbara Peters, Annette Quante, Anne S. Schwettmann, Lars Laxy, Michael Acta Diabetol Original Article AIMS: To identify socioeconomic, behavioral and clinical factors that are associated with prediabetes according to different prediabetes definition criteria. METHODS: Analyses use pooled data of the population-based Cooperative Health Research in the Region of Augsburg (KORA) studies (n = 5312 observations aged ≥ 38 years without diabetes). Prediabetes was defined through either impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or elevated HbA1c according to thresholds of the American Diabetes Association. Explanatory variables were regressed on prediabetes using generalized estimating equations. RESULTS: Mean age was 58.4 years; 50% had prediabetes (33% had IFG, 16% IGT, and 26% elevated HbA1c, 10% fulfilled all three criteria). Age, obesity, hypertension, low education, unemployment, statutory health insurance, urban residence and physical inactivity were associated with prediabetes. Male sex was a stronger risk factor for IFG (OR = 2.5; 95%–CI: 2.2–2.9) than for IGT or elevated HbA1c, and being unemployed was a stronger risk factor for IGT (OR = 3.2 95%–CI: 2.6–4.0) than for IFG or elevated HbA1c. CONCLUSIONS: The overlap of people with IFG, IGT and elevated HbA1c is small, and some factors are associated with only one criterion. Knowledge on sociodemographic and socioeconomic risk factors can be used to effectively target interventions to people at high risk for type 2 diabetes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00592-020-01573-x) contains supplementary material, which is available to authorized users. Springer Milan 2020-08-03 2020 /pmc/articles/PMC7591423/ /pubmed/32748175 http://dx.doi.org/10.1007/s00592-020-01573-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Greiner, Gregory G. Emmert-Fees, Karl M. F. Becker, Jana Rathmann, Wolfgang Thorand, Barbara Peters, Annette Quante, Anne S. Schwettmann, Lars Laxy, Michael Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title | Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title_full | Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title_fullStr | Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title_full_unstemmed | Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title_short | Toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany |
title_sort | toward targeted prevention: risk factors for prediabetes defined by impaired fasting glucose, impaired glucose tolerance and increased hba1c in the population-based kora study from germany |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7591423/ https://www.ncbi.nlm.nih.gov/pubmed/32748175 http://dx.doi.org/10.1007/s00592-020-01573-x |
work_keys_str_mv | AT greinergregoryg towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT emmertfeeskarlmf towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT beckerjana towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT rathmannwolfgang towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT thorandbarbara towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT petersannette towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT quanteannes towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT schwettmannlars towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany AT laxymichael towardtargetedpreventionriskfactorsforprediabetesdefinedbyimpairedfastingglucoseimpairedglucosetoleranceandincreasedhba1cinthepopulationbasedkorastudyfromgermany |