Table 4.

Logistic regression for the association of frailty according to FP as a dependent variable with variables of relevance in health, adjusted by age and sex.

Variable	Frail vs. Non-Frail			Frail vs. Pre-Frail
	Model 1 OR (95% CI)	Model 2 OR (95% CI)	Model 3 OR (95% CI)	Model 1 OR (95% CI)	Model 2 OR (95% CI)	Model 3 OR (95% CI)
Women	1.364 (0.635–0.929)	1.270 (0.561–2.875)	1.283 (0.561–2.935)	1.701 (0.812–3.564)	1.856 (0.812–4.245)	1.716 (0.738–3.989)
Age ≥ 75 years	1.434 (0.756–2.720)	1.225 (0.614–2.444)	1.264 (0.626–2.551)	0.684 (0.367–1.275)	0.700 (0.372–1.317)	0.694 (0.366–1.314)
Years of education ≤ 8		2.316 (1.171–4.579) *	2.240 (1.106–4.536) *		1.053 (0.548–2.021)	0.988 (0.509–1.919)
BMI ≥ 25 kg/m2		2.680 (0.663–10.838)	2.672 (0.658–10.840)		2.825 (0.705–11.325)	3.191 (0.779–13.079)
Abdominal obesity		2.113 (0.941–4.753)	2.063 (0.915–4.652)		0.811 (0.343–1.919)	0.813 (0.340–1.945)
Living alone			1.004 (0.479–2.104)			1.665 (0.808–3.432)
Automedication			0.927 (0.325–2.643)			0.642 (0.244–1.690)

OR, Odds ratio; BMI, body mass index. * p < 0.05.