Dataset Information

Dysglycaemia and Other Predictors for Progression or Regression from Impaired Fasting Glucose to Diabetes or Normoglycaemia.

ABSTRACT:

Aims

Diabetes mellitus is a growing health problem worldwide. This study aimed to describe dysglycaemia and determine the impact of body composition and clinical and lifestyle factors on the risk of progression or regression from impaired fasting glucose (IFG) to diabetes or normoglycaemia in Australian women.

Methods

This study included 1167 women, aged 20-94 years, enrolled in the Geelong Osteoporosis Study. Multivariable logistic regression was used to identify predictors for progression to diabetes or regression to normoglycaemia (from IFG), over 10 years of follow-up.

Results

At baseline the proportion of women with IFG was 33.8% and 6.5% had diabetes. Those with fasting dysglycaemia had higher obesity-related factors, lower serum HDL cholesterol, and lower physical activity. Over a decade, the incidence of progression from IFG to diabetes was 18.1 per 1,000 person-years (95% CI, 10.7-28.2). Fasting plasma glucose and serum triglycerides were important factors in both progression to diabetes and regression to normoglycaemia.

Conclusions

Our results show a transitional process; those with IFG had risk factors intermediate to normoglycaemics and those with diabetes. This investigation may help target interventions to those with IFG at high risk of progression to diabetes and thereby prevent cases of diabetes.

SUBMITTER: de Abreu L

PROVIDER: S-EPMC4530268 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Dysglycaemia and Other Predictors for Progression or Regression from Impaired Fasting Glucose to Diabetes or Normoglycaemia.

de Abreu L L Holloway Kara L KL Kotowicz Mark A MA Pasco Julie A JA

Journal of diabetes research 20150727

<h4>Aims</h4>Diabetes mellitus is a growing health problem worldwide. This study aimed to describe dysglycaemia and determine the impact of body composition and clinical and lifestyle factors on the risk of progression or regression from impaired fasting glucose (IFG) to diabetes or normoglycaemia in Australian women.<h4>Methods</h4>This study included 1167 women, aged 20-94 years, enrolled in the Geelong Osteoporosis Study. Multivariable logistic regression was used to identify predictors for p ...[more]

PMID: 26273669

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Project description:BackgroundDiabetes is associated with higher fracture risk despite higher bone mineral density (BMD), with FRAX® underestimating risk. This study aimed to investigate FRAX score with and without BMD for women with normoglycaemia, impaired fasting glucose (IFG) and diabetes.MethodsAmong 566 women, aged 40-90?years, enrolled in the Geelong Osteoporosis Study, IFG was defined as fasting plasma glucose (FPG) ?5.5?mmol/L and diabetes as FPG???7.0?mmol/L, use of antihyperglycaemic medication and/or self-report. FRAX (Australia) 10-year probabilities of major osteoporotic (MOF) and hip fracture were calculated, with and without BMD, producing four FRAX scores per participant. Kruskal-Wallis test for non-parametric data was used to examine differences between the three glycaemia groups. Fractures over 10?years were ascertained using radiological reports. The number of fractures predicted by FRAX was compared with the number of fractures observed using Chi-square tests.ResultsFor MOF FRAX calculated without BMD, women with diabetes (n?=?67) tended to have a higher median score 7.1 (IQR 2.7-12.0) than normoglycaemia (n?=?252) (4.3 (IQR 1.9-9.9) and IFG (n?=?247) (5.1 (IQR 2.2-9.6)). For hip FRAX without BMD, diabetes tended to have a higher score (2.5 (IQR 06-4.3)) than normoglycaemia (1.2 (IQR 0.3-4.1)) and IFG (1.3 (IQR 0.3-4.1)). In the normoglycaemia and IFG groups, MOFs were underestimated; 15 predicted vs 28 observed, p?=?0.038; and 16 predicted vs 31 observed, p?=?0.021, respectively. Fractures were accurately estimated in all other groups.When including BMD, the association with diabetes was non-significant for both MOF FRAX (normoglycaemia 3.7 (IQR 1.9-8.0), IFG 4.3 (IQR 2.2-8.1) and diabetes 5.3 (IQR 2.7-9.4)) and hip FRAX scores (normoglycaemia 0.6 (IQR 0.2-2.5), IFG 0.8 (IQR 0.2-2.7) and diabetes 1.0 (IQR 0.3-3.0)). For normoglycaemia and IFG, MOFs were underestimated (normoglycaemia: 13 predicted vs 28 observed and IFG: 13 vs 31). For diabetes, both MOFs and hip fractures tended to be underestimated by FRAX with BMD (MOF: 4 predicted vs 11 observed, p?=?0.055, hip: 1 predicted vs 6 observed, p?=?0.052). Hip fractures were accurately estimated in the normoglycaemia and IFG groups.ConclusionsCompared with women who had normoglycaemia or IFG, women with diabetes tended to have a higher FRAX score for both MOF and hip fractures when BMD was not included. When BMD was included, there was no difference. Fractures in diabetes tended to be underestimated by FRAX with BMD. This suggests that FRAX calculations including BMD may not be accurate for estimating fractures in those with diabetes.

Dataset Information

Dysglycaemia and Other Predictors for Progression or Regression from Impaired Fasting Glucose to Diabetes or Normoglycaemia.

Aims

Methods

Results

Conclusions

Publications

Dysglycaemia and Other Predictors for Progression or Regression from Impaired Fasting Glucose to Diabetes or Normoglycaemia.

Similar Datasets

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