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. 2009 Aug 9;52(10):2056–2063. doi: 10.1007/s00125-009-1460-2

Table 3.

Single and multiple logistic regression predicting depression by demographic features, vascular co-morbidity, clinical and lifestyle characteristics, and psychosocial factors in insulin-naive diabetes patients (n = 1,269)

Variable Single logistic regression models (OR, 95% CI) Multiple logistic regression models (method backwards) (OR, 95% CI)
Demographic features
Age 0.99 (0.98–1.01)
Female sex 2.25 (1.54–3.29)a 3.29 (2.08–5.18)a
Being single 1.48 (0.99–2.20)
Low education 1.72 (1.13–2.62)*
Vascular co-morbidities
0 1.00 1.00
1 0.92 (0.60–1.42) 1.07 (0.64–1.77)
2 1.63 (1.00–2.66)* 2.50 (1.40–4.46)a
≥3 1.21 (0.61–2.41) 2.23 (1.01–4.93)*
Clinical and lifestyle factors
Treatment with oral hypoglycaemic medication 1.11 (0.70–1.76)
Higher HbA1c 1.03 (0.83–1.28)
Higher BMI 0.99 (0.95–1.03)
Current smoker 1.57 (1.00–2.46)* 2.31 (1.37–3.91)a
Alcohol intake >14 consumptions/week 0.55 (0.24–1.29)
Psychosocial factors
Lower social support 1.26 (1.19–1.35)a 1.29 (1.20–1.38)a
Recent stressful life event 2.55 (1.78–3.66)a 2.24 (1.47–3.40)a

aSignificant odds ratio after Bonferroni correction (p < 0.0033; α = 0.05/15 tests = 0.0033)

*Significant odds ratio (p < 0.05)