J Prev Med Public Health.  2010 Jul;43(4):309-318. 10.3961/jpmph.2010.43.4.309.

Associated Factors of Impaired Fasting Glucose in Some Korean Rural Adults

Affiliations
  • 1Department of Health Sciences, Graduate School of Chosun University, Korea.
  • 2National Cancer Control Research Institute, National Cancer Center, Korea.
  • 3Department of Preventive Medicine, Chosun University Medical School, Korea. canrsy@chosun.ac.kr

Abstract


OBJECTIVES
This study was performed to investigate the prevalence of impaired fasting glucose (IFG) and its related characteristics among healthy adults in some Korean rural areas.
METHODS
We conducted a cross-sectional study using the data from 1352 adults who were over the age 40 and under the age 70 and who were free of diabetes mellitus (DM), cardiovascular diseases and other diseases and who participated in a survey conducted as part of the Korean Rural Genomic Cohort Study. IFG was defined as a serum fasting glucose level between 100 and 125 mg/dL.
RESULTS
The prevalence of IFG was 20.4% in men, 15.5% in women and 12.7% overall. Multivariate logistic regression analysis demonstrated that the independent risk factors for IFG were male gender, having a family history of DM, the quartiles of gamma glutamyltransferase and high sensitive C-reactive protein and the waist circumference. The homeostatis model assessment for insulin resistance was very strongly associated with IFG. The prevalence of metabolic syndrome (MS) and MS components was higher in the subjects with IFG then in those with normal fasting glucose (NFG).
CONCLUSIONS
The result of study could supply evidence to find the high risk population and to determine a strategy for treating IFG. Further research is needed to explain the causal relationship and mechanisms of IFG.

Keyword

Adults; Associated factors; Cross-sectional study; Impaired fasting glucose

MeSH Terms

Adult
Aged
Body Weights and Measures
Cross-Sectional Studies
*Fasting
Female
Glucose Intolerance/*epidemiology
Health Behavior
Humans
Korea/epidemiology
Male
Middle Aged
Prevalence
Risk Factors
Rural Population
Sex Factors
Socioeconomic Factors
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