Influence of Biopsychosocial Factors on the Survival of the Elderly in Northeast Brazil—A Prospective Study

Table 4

Result of the Cox Regression, with the predicting variables of mortality of elderly from Santa Cruz, Rio Grande do Norte, Brazil.

Variables	Model 01		Model 02		Model 03		Model 04
	HR	IC 95%	HR	IC 95%	HR	IC 95%	HR	IC 95%
Female sex	1.56	0.79–2.22 𝑃=.57	1.45	0.80–2.56 𝑃=.21	1.40	0.76–2.35 𝑃=.36	1.21	0.70–2.12 𝑃=.47
Age (years)	1.05	1.01–1.10 𝑃=.002	1.06	1.03–1.12 𝑃=.02	1.11	1.01–1.24 𝑃=.044	1.04	0.99–1.09 𝑃=.11
No leisure activities			1.41	0.71–2.82 𝑃=.32
Marital status (single/widowed)			0.95	0.49–1.81 𝑃=.88
Hip fracture					0.53	0.16–1.72 𝑃=.29
Unsatisfied self-perception of health					1.36	0.47–3.90 𝑃=.56
Visual impairment					2.12	0.65–4.56 𝑃=.56
Auditory impairment					6.56	0.55–14.61 𝑃=.65
Stroke					3.99	2.13–5.56 𝑃=.001	3.35	1.18–7.80 𝑃=.𝟎𝟎𝟐
No of hospitalizations (more than one)					0.59	0.20–1.45 𝑃=.22
Number of medications (more than one)					0.92	0.43–2.00 𝑃=.85
Cognitive alteration							4.22	2.01–8.97 𝑃=.𝟎𝟎𝟏
Symptoms of depression							1.09	0.58–2.02 𝑃=.78
Dependence in BADL					3.68	1.95–6.77 𝑃=.001	3.55	1.77–6.45 𝑃=.𝟎𝟎𝟏