Relationship between blood glucose and lipid levels and cognitive function in elderly patients with comorbidity of depression and type 2 diabetes mellitus
10.16781/j.0258-879x.2018.11.1224
- Author:
Bing-Ying DU
1
Author Information
1. Department of Neurology, Changhai Hospital, Navy Medical University (Second Military Medical University)
- Publication Type:Journal Article
- Keywords:
Aged;
Blood glucose;
Cognition disorders;
Depression;
Lipids;
Type 2 diabetes mellitus
- From:
Academic Journal of Second Military Medical University
2018;39(11):1224-1229
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the relationship between blood glucose and lipid levels and cognitive function in elderly patients with comorbidity of depression and type 2 diabetes mellitus (T2DM). Methods The clinical data from elderly participants (60 to 79 years old) receiving physical examination between Nov. 1 and Dec. 30, 2017 were collected. According to inclusion and exclusion criteria, 59 cases with comorbidity of depression and T2DM were assigned to comorbid group, 106 depression cases were in depression group, 84 T2DM cases were in diabetes group and 248 were in control group (with no diabetes or depression). The general physiological indicators (height, body mass, waist circumference, hip circumference and blood pressure) were collected, the body mass index (BMI) and waist-to-hip ratio (WHR) were calculated, and blood glucose and lipid levels were determined. The Montreal Cognitive Assessment (MoCA) scale was used to assess the cognitive function of the elderly in each group. The differences in BMI, WHR, blood pressure, blood glucose level and blood lipid level among the groups were compared, and the relationships between these indicators and the adjusted total score and scores in each cognitive domain of MoCA scale were analyzed. Results (1) There were no significant differences in height, body mass, BMI, WHR or diastolic blood pressure (DBP) among four groups (all P>0.05), while the differences in systolic blood pressure (SBP) and pulse pressure (PP) were significant (both P<0.01), with the increase in the diabetes group being most obvious. (2) Compared with the control group, the fasting blood glucose (FBG) level, oral glucose tolerance test (OGTT) 2 h and glycosylated hemoglobin (HbA1c) level were significantly higher in the comorbid group and the diabetes group (all P<0.01); while there was no significant difference between the control and the depression groups (P>0.05). The triglyceride (TG) level in the comorbid group was significantly higher than that in the control group (P<0.05), and the high-density lipoprotein (HDL) levels in the comorbidity and the diabetes groups were lower than that in the control group (P<0.05, P<0.01). (3) There was no significant difference in the adjusted total score of MoCA scale among the four groups (P>0.05). Compared with the control group, the attention scores of the other three groups were significantly lower (all P<0.01). The elderly in the comorbid group had significantly lower fluency and orientation scores compared with the elderly in the control group (P<0.05, P<0.01), and had significantly lower orientation score compared with the elderly in the diabetes group (P<0.05). (4) Simple linear regression analysis showed that the adjusted total score of MoCA scale was negatively correlated with FBG and HbA1c levels (b=-0.339, P=0.006; b=-0.482, P=0.023), and the attention score was negatively correlated with FBG, OGTT 2h and HbA1c levels (b=-0.119, P<0.001; b=-0.040, P=0.002; b=-0.161, P=0.006). (5) Multiple linear regression analysis revealed that FBG level was negatively correlated with the adjusted total score of MoCA scale (B=-0.349, P=0.004). Conclusion Hyperglycemia may be a risk factor of cognitive dysfunction of elderly patients with comorbid of depression and T2DM.
