Table 4.

Binary logistic regression reporting ORs and 95% CI for the association of different variables with frailty.

Model	Variable		OR with 95% CI	P value	Variable	OR with 95% CI	P value
Univariate logistic regression	Age		1.10 (1.08–1.12)	0.000	Low physical activity	4.21 (3.27–5.41)	0.000
	Male gender		0.28 (0.21–0.36)	0.000	Cancer	2.60 (1.30–5.22)	0.007
	Marital status	Married	0.84 (0.19–3.70)	0.813	MNA score	0.67 (0.64–0.71)	0.000
		Divorced	0.82 (0.10–6.62)	0.855	PHQ-9 score	3.68 (3.18–4.25)	0.000
		Widow	2.63 (0.59–11.74)	0.204	Waist circumference	1.02 (1.01–1.03)	0.000
	Drug number	1–4 drugs	1.32 (0.79–2.18)	0.285	BMI	1.06 (1.04–1.08)	0.000
		Polypharmacy	3.65 (2.38–5.59)	0.000	Smoking	0.75 (0.55–1.02)	0.069
	WBC count		1.02 (0.97–1.07)	0.501	Comorbidity number	2.43 (2.08–2.84)	0.000
Multivariate logistic regression	Age		1.11 (1.08–1.14)	0.000	Low physical activity	31.73 (18.44–54.60)	0.000
	Male gender		0.63 (0.42–0.93)	0.021	Cancer	3.28 (1.27–8.44)	0.014
	Marital status	Married	1.75 (0.19–15.65)	0.619	MNA score	0.85 (0.79–0.92)	0.000
		Divorced	0.71 (0.03–15-47)	0.827	PHQ-9 score	2.42 (1.97–2.98)	0.000
		Widow	2.28 (0.25–20.48)	0.463	Waist circumference	1.03 (1.01–1.06)	0.016
	Drug number	1–4 drugs	0.99 (0.52–1.88)	0.98	BMI	1.07 (1.01–1.14)	0.036
		Polypharmacy	2.26 (1.30–3.95)	0.004	Smoking	0.69 (0.46–1.04)	0.076
	WBC count		1.02 (0.95–1.10)	0.922	Comorbidity number	0.99 (0.77–1.27)	0.922

Age, gender, physical activity, cancer, MNA score, PHQ-9 score, waist circumference, BMI, WBC, smoking, marital status, number of comorbidities, and polypharmacy were entered into the multivariate logistic regression model.

Pseudo R-Squared (R²) = 0.4628 and log likelihood: -421.9934.