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. 2019 Oct;27(10):1072–1079. doi: 10.1016/j.jagp.2019.04.008

TABLE 3.

Subdistribution Hazard Ratio for Incident Frailty in Participants With Depressive Symptomatology (either EURO-D or ICD-10 criteria) at Baseline

Modified Fried Phenotype Frailty
(2–4 Characteristics)
Modified Fried Phenotype Frailty
(3–4 Characteristics)
Multidimensional Frailty
Model 1
SHR (95% CI)a
Model 2
SHR (95% CI)a
Model 3
SHR (95% CI)a
Model 1
SHR (95% CI)a
Model 2
SHR (95% CI)a
Model 3
SHR (95% CI)a
Model 1
SHR (95% CI)a
Model 2
SHR (95% CI)a
Model 3
SHR (95% CI)a
Cuba 1.41 (1.05, 1.90) 1.28 (0.94, 1.74) 1.24 (0.91, 1.69) 2.59 (1.20, 5.60) 2.24 (0.98, 5.12) 2.17 (0.93, 5.03) 1.00 (0.79, 1.25) 0.97 (0.77, 1.23) 0.99 (0.79, 1.26)
DR 1.91 (1.47, 2.47) 1.70 (1.30, 2.23) 1.54 (1.15, 2.08) 2.95 (1.66, 5.23) 2.50 (1.39, 4.48) 1.92 (0.99, 3.71) 1.46 (1.14, 1.87) 1.34 (1.03, 1.73) 1.32 (1.00, 1.73)
Peru 1.31 (0.95, 1.82) 1.31 (0.93, 1.84) 1.22 (0.86, 1.73) 0.57 (0.17, 1.93) 0.57 (0.16, 1.98) 0.34 (0.08, 1.44) 1.39 (1.00, 1.94) 1.38 (0.97, 1.96) 1.33 (0.93, 1.89)
Venezuela 3.00 (1.96, 4.60) 2.93 (1.89, 4.52) 2.65 (1.67, 4.22) 2.96 (0.75, 11.21) 2.35 (0.61, 9.02) 2.00 (0.43, 9.21) 1.29 (0.90, 1.85) 1.26 (0.87, 1.85) 1.23 (0.83, 1.82)
Mexico 1.72 (1.38, 2.15) 1.62 (1.29, 2.04) 1.52 (1.20, 1.93) 1.66 (0.90, 3.07) 1.59 (0.83, 3.08) 1.47 (0.79, 2.74) 1.36 (1.10, 1.69) 1.27 (1.02, 1.59) 1.23 (0.98, 1.54)
Puerto Rico 2.78 (2.11, 3.67) 2.52 (1.90, 3.35) 2.18 (1.61, 2.95) 3.38 (1.81, 6.31) 2.94 (1.52, 5.68) 2.18 (1.11, 4.26) 1.36 (1.04, 1.76) 1.32 (1.01, 1.74) 1.21 (0.91, 1.61)
Pooled 1.87 (1.66, 2.10) 1.74 (1.54, 1.96) 1.59 (1.40, 1.80) 2.36 (1.75, 3.18) 2.09 (1.53, 2.86) 1.71 (1.24, 2.38) 1.29 (1.16, 1.43) 1.23 (1.10, 1.37) 1.19 (1.06, 1.33)
I2 76.3 73.5 63.3 41.2 20.2 17.0 20.3 2.5 0.0

Notes: Model 1: unadjusted; Model 2: adjusted for age, sex, and education level; Model 3: adjusted for age, sex, education level, number of physical impairments, and dementia. DR: Dominican Republic; SHR: subdistribution hazard ratio. aZ-test for coefficients estimated in competing risk models and pooled estimates in meta-analysis.