Research Article

Risk Factors for Macro- and Microvascular Complications among Older Adults with Diagnosed Type 2 Diabetes: Findings from The Irish Longitudinal Study on Ageing

Table 3

Multivariate binomial regression models exploring independent associations between microvascular complications and predictor variables.

Predictor ⁢Model 1⁢Model 2⁢Model 3
RR (95% CI)pRR (95% CI)pRR (95% CI)p

Age
50–64 years111
65–74 years0.8 (0.6, 1.2)0.40.9 (0.7, 1.2)0.40.9 (0.7, 1.1)0.3
75+ years0.7 (0.5, 1.1)0.10.7 (0.5, 0.9)0.020.6 (0.5, 0.9)0.01
Gender
Male111
Female1.0 (0.8, 1.4)0.91.1 (0.7, 1.3)0.81.0 (0.8, 1.3)0.9
Education
Primary/less111
Secondary0.9 (0.7, 1.2)0.40.9 (0.7, 1.2)0.50.9 (0.7, 1.2)0.5
Third/higher0.6 (0.4, 0.8)0.0070.5 (0.4, 0.9)0.020.6 (0.4, 0.9)0.02
Duration of diagnosis
0–4 years111
5–9 years1.2 (0.8, 1.8)0.31.1 (0.8, 1.6)0.51.1 (0.8, 1.7)0.5
10+ years2.0 (1.5, 2.7)0.0001.8 (1.4, 2.5)0.0001.9 (1.4, 2.5)0.000
Ever smoked
No11
Yes1.4 (1.1, 2.0)0.031.4 (1.1, 2.0)0.02
Physical activity
Low11
Medium0.7 (0.6, 1.0)0.10.8 (0.6, 1.1)0.1
High0.5 (0.3, 0.7)0.0010.5 (0.3, 0.8)0.003
Hypertension
No1
Yes1.5 (1.1, 2.1)0.006
High cholesterol
No 1
Yes1.0 (0.8, 1.3)0.9

Indicating report of at least one microvascular complication (leg ulcer, protein in urine, neuropathy, retinopathy, or damage to kidneys).
Variables entered in Model 1: age, sex, education, and years since diagnosis.
Variables entered in Model 2: age, sex, education, years since diagnosis, smoking status, and physical activity.
Variables entered in Model 3: age, sex, education, years since diagnosis, smoking status, physical activity, doctor diagnosed hypertension, and doctor diagnosed high cholesterol.