Dataset Information

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

ABSTRACT:

Background

We have previously found regional differences in the prevalence of known type 2 diabetes between northeastern and southern Germany. We aim to also provide prevalence estimates for prediabetes (isolated impaired fasting glucose (i-IFG), isolated glucose intolerance (i-IGT), combined IFG and IGT) and unknown type 2 diabetes for both regions.

Methods

Prevalence (95%CI) of prediabetes (i-IFG: fasting glucose 5.6-6.9 mmol/l; i-IGT: 2 h postchallenge glucose 7.8-11.0 mmol/l, oral glucose tolerance test (OGTT), ? 8 h overnight fasting) and unknown diabetes were analyzed in two regional population-based surveys (age group 35-79 years): SHIP-TREND (Study of Health in Pomerania (northeast), 2008-2012) and KORA F4 (Cooperative Health Research in the region of Augsburg (south), 2006-2008). Both studies used similar methods, questionnaires, and identical protocols for OGTT. Overall, 1,980 participants from SHIP-TREND and 2,617 participants from KORA F4 were included.

Results

Age-sex-standardized prevalence estimates (95%CI) of prediabetes and unknown diabetes were considerably higher in the northeast (SHIP-TREND: 43.1%; 40.9-45.3% and 7.1%; 5.9-8.2%) than in the south of Germany (KORA F4: 30.1%; 28.4-31.7% and 3.9%; 3.2-4.6%), respectively. In particular, i-IFG (26.4%; 24.5-28.3% vs. 17.2%; 15.7-18.6%) and IFG+IGT (11.2%; 9.8-12.6% vs. 6.6%; 5.7-7.5%) were more frequent in SHIP-TREND than in KORA. In comparison to normal glucose tolerance, the odds of having unknown diabetes (OR, 95%CI: 2.59; 1.84-3.65) or prediabetes (1.98; 1.70-2.31) was higher in the northeast than in the south after adjustment for known risk factors (obesity, lifestyle).

Conclusions

The regional differences of prediabetes and unknown diabetes are in line with the geographical pattern of known diabetes in Germany. The higher prevalences in the northeast were not explained by traditional risk factors.

SUBMITTER: Tamayo T

PROVIDER: S-EPMC4234669 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

Tamayo Teresa T Schipf Sabine S Meisinger Christine C Schunk Michaela M Maier Werner W Herder Christian C Roden Michael M Nauck Matthias M Peters Annette A Völzke Henry H Rathmann Wolfgang W

PloS one 20141117 11

<h4>Background</h4>We have previously found regional differences in the prevalence of known type 2 diabetes between northeastern and southern Germany. We aim to also provide prevalence estimates for prediabetes (isolated impaired fasting glucose (i-IFG), isolated glucose intolerance (i-IGT), combined IFG and IGT) and unknown type 2 diabetes for both regions.<h4>Methods</h4>Prevalence (95%CI) of prediabetes (i-IFG: fasting glucose 5.6-6.9 mmol/l; i-IGT: 2 h postchallenge glucose 7.8-11.0 mmol/l, ...[more]

PMID: 25402347

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Project description:Healthy lifestyle interventions and drug therapies are proven to have a positive preventative influence on normal glucose regulation in prediabetes. However, little is known on the specific role that these factors play on reversion to normal glycemia according to type of prediabetes. We used data from the Observational prospective cohort study, The Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes from 2012 to 2015. A total of 1184 individuals aged 30-74 years old were included and classified based on the ADA in three mutually exclusive groups using either fasting plasma glucose (FPG) levels (from 100 to 125 mg/dl, FPG group), HbA1c (5.7-6.4%, HbA1c group) or both impaired parameters. Information on lifestyle factors and biochemical parameters were collected at baseline. Reversion to normal glucose regulation was calculated at third year of follow-up. Relationship of lifestyle factor and type of prediabetes with reversion were estimated using odds ratios (ORs) with 95% confidence intervals (95% CIs) adjusting by different groups of confounders. Proportion of reversion rates were 31% for FPG group, 31% for HbA1c group and 7.9% for both altered parameters group, respectively. Optimal life style factors such as BMI < 25 kg/m2[OR (95% CI): 1.90 (1.20-3.01)], high adherence to Mediterranean diet 1.78 (1.21-2.63) and absence of abdominal obesity 1.70 (1.19-2.43) were the strongest predictors for reversion to normal glucose. However, those did not modify the ORs of reversion to normal glucose. Taking as reference those with both impaired parameters, subjects with FPG impairment (FPG group) had an OR of 4.87 (3.10-7.65) and 3.72 (2.39-5.78) for HbA1c group. These estimates remained almost the same after further adjustment for biochemical parameters and lifestyle factors (4.55(2.84-7.28) and 3.09 (1.92-4.97), respectively). Optimal lifestyle factors showed to be a positive predictor for reversion to normal glucose regulation however, the differences of reversion risk according type of prediabetes are not explained by lifestyle factors.

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Dataset Information

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

Background

Methods

Results

Conclusions

Publications

Regional differences of undiagnosed type 2 diabetes and prediabetes prevalence are not explained by known risk factors.

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