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Abstract
Aim
The aim of this study was to investigate whether elderly people with impaired fasting glucose (IFG) or diabetes mellitus (DM) share the common risk factors for cognitive impairment as compared to normal blood glucose population.
Methods
This cross-sectional study assessed 10,039 community-dwelling participants aged ≥ 55 years in Beijing, China. According to the glycemic status, subjects were classified into three groups: normal fasting plasma glucose (NG, n=6399), impaired fasting glucose (IFG, n=873) and DM (n=2626). The Mini-Mental State Examination (MMSE) was applied to evaluate the cognitive function status of the study population. Potential demographic, clinical, and genetic risk factors for cognitive impairment were collected and compared across the three groups. Multivariate logistic regression model was performed to explore the risk factors associated with cognitive impairment.
Results
Education-modified MMSE scores in the participants with NG, IFG, and DM were 26.91±3.94, 26.67±4.00, and 26.58±4.11, respectively (P=0.0008). In the age- and sex-adjusted comparisons, the MMSE scores in subjects with DM and IFG were significantly lower than that in subjects with normal glucose (P=0.01 and P=0.02, respectively). The logistic regression analysis showed that risk factors only in the NG population were older age, female, apoEε4 carrier, normal or lower uric acid (UA) levels. Hypertension was an independent risk factor only in IFG group, and the history of stroke and depression were the risk factors associated with cognitive impairment only in the DM group.
Conclusion
Subjects with DM or IFG had a lower performance on the MMSE test compared with subjects who had normal blood glucose. The elderly with diabetes and IFG have some different risk factors for cognitive impairment as compared to those with normal blood glucose.
Acknowledgments
We acknowledge the support of all the grants for the project. The authors thank all the doctors, nurses, and participants in the communities who were involved in the study. This project was supported by grants from the Beijing Municipal Commission on Science and Technology (D07050701130000 and D07050701130701), Ministry of Health of China (201002011), Ministry of Science and Technology of China (2012AA02A514, 0S2012GR0150, 2012ZX 09303-005), and Beijing Municipal Administration of Hospitals (ZYLX201301). The funding sources had no involvement in the study design, data collection, data analysis, data interpretation, or writing of the report.
Disclosure
The authors report no conflicts of interest in this work.