lunes, 16 de febrero de 2015

Association between Family History Risk Categories and Prevalence o... - PubMed - NCBI

Association between Family History Risk Categories and Prevalence o... - PubMed - NCBI



 2015 Feb 9;10(2):e0117044. doi: 10.1371/journal.pone.0117044. eCollection 2015.

Association between Family History Risk Categories and Prevalence of Diabetes in Chinese Population.

Abstract

AIM:

To investigate the association between different family history risk categories and prevalence of diabetes in the Chinese population.

METHODS:

The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and insulin levels based on a national representative cross-sectional survey of 46,239 individuals (age ≥ 20 years) in the 2007-2008 China National Diabetes and Metabolism Disorders Study. The family history risk categories of diabetes were high, moderate, and average (FH2 and FH1: at least two generations and one generation of first-degree relatives with diabetes, respectively; FH0: no first-degree relatives with diabetes).

RESULTS:

The age- and gender-adjusted prevalence rates of diabetes were 32.7% (95% confidence interval (CI): 26.4-39.7%) in FH2, 20.1% (95% CI: 18.2-22.1%) in FH1, and 8.4% (95% CI: 7.9-8.9%) in FH0 (P < 0.0001). The calculated homeostatic model assessment-estimated insulin resistance (HOMA-IR), Matsuda insulin sensitivity index (ISI), and insulinogenic index (ΔI30/ΔG30) values showed significant trending changes among the three risk categories, with the most negative effects in FH2. Multivariate logistic regression analysis showed that the odds ratios of having diabetes were 6.16 (95% CI: 4.46-8.50) and 2.86 (95% CI: 2.41-3.39) times higher in FH2 and FH1, respectively, than in FH0 after adjustment for classical risk factors for diabetes.

CONCLUSIONS:

Family history risk categories of diabetes have a significant, independent, and graded association with the prevalence of this disease in the Chinese population.

PMID:
 
25664814
 
[PubMed - in process] 
Free full text

No hay comentarios:

Publicar un comentario