Table 4.
Association between cholesterol level and cognitive impairment and cholesterol in 2,000 Chinese elderly, by gender and age group
Variable | Gender†
|
Age group†
|
||
---|---|---|---|---|
Men (n=934) | Women (n=1066) | Young elderly (age ≤79, n=703) | Oldest old (age ≥80, n=1297) | |
TC | ||||
Each1mmol/L increment | 0.74(0.60–0.93)** | 0.76(0.65–0.88)** | 0.77(0.55–1.10) | 0.75(0.66–0.86)** |
Tertiles of TC | ||||
Low | 1.00 reference | 1.00 reference | 1.00 reference | 1.00 reference |
Middle | 0.88(0.57–1.36) | 0.65(0.45–0.95)** | 0.66(0.31–1.41) | 0.77(0.57–1.07) |
High | 0.71(0.55–0.94)* | 0.71(0.59–0.86) ** | 0.78(0.53–1.16) | 0.71(0.61–0.84)** |
TG | ||||
Each1mmol/L increment | 0.84(0.6–1.26) | 0.79(0.61–1.02) | 1.14(0.77–1.67) | 0.72(0.55–0.92)* |
Tertiles of LDL-C | ||||
Low | 1.00 reference | 1.00 reference | 1.00 reference | 1.00 reference |
Middle | 1.08(0.67–1.69) | 0.82(0.57–1.19) | 0.62(0.27–1.41) | 0.92(0.68–1.24) |
High | 0.93(0.71–1.21) | 0.85(0.70–1.03) | 0.87(0.59–1.26) | 0.87(0.74–1.03) |
LDL-C | ||||
Each1mmol/L increment | 0.69(0.53–0.91)** | 0.77(0.65–0.92)** | 0.66(0.44–0.99)* | 0.76(0.65–0.89)** |
Tertiles of LDL-C | ||||
Low | 1.00 reference | 1.00 reference | 1.00 reference | 1.00 reference |
Middle | 0.62(0.39–0.97)* | 0.76(0.52–1.10) | 0.78(0.38–1.62) | 0.70(0.51–0.96)* |
High | 0.84(0.65–1.07) | 0.77(0.64–0.93)** | 0.72(0.49–1.08) | 0.82(0.70–0.96)* |
HDL-C | ||||
Each1mmol/L increment | 0.84(0.47–1.48) | ) 0.67(0.45–1.00)* | 1.04(0.45–2.40 | 0.69(0.49–0.99)* |
Tertiles of HDL-C | ||||
Low | 1.00 reference | 1.00 reference | 1.00 reference | 1.00 reference |
Middle | 0.68(0.43–1.07) | 1.08(0.75–1.56) | 0.85(0.41–1.80) | 0.92(0.68–1.25) |
High | 0.82(0.64–1.05) | 0.80(0.67–0.96)* | 0.85(0.57–1.29) | 0.81(0.70–0.95)** |
TC =Total cholesterol; TG=triglycerides, LDL-C =low density lipoprotein; HDL-C=high density lipoprotein.
p<0.05;
p<0.01.
Data in the table are adjusted odds ratio (OR) and 95% confidence intervals (CI, in parentheses).
Adjusted for potential confounders including age, gender, marital status, residence education level, current cigarette smoking practices, current alcohol drinking habits, central obesity, sleep quality, anemia, hypertension, type 2 diabetes mellitus and CKD.