Skip to main content
. 2020 May 27;60(2):821–831. doi: 10.1007/s00394-020-02290-5

Table 1.

Baseline characteristics of participants according to frailty status

Referent (n = 198) Pre-frail (n = 206) Frail(n = 36) P valuea
Age (year) 67.5 ± 1.8 68.1 ± 1.9 68.3  ± 1.9 0.010
Weight (kg) 69.2 ± 10.1 72.2 ± 12.5 77.8  ± 13.9 0.001
Height (cm) 159.4 ± 5.2 158.0 ± 5.7 156.7 ± 4.4 0.005
Body mass index (kg/m2) 27.2 ± 3.6 28.9 ± 4.9 31.7 ± 5.9  < 0.001
Income per month (euro) 904.1 ± 276.5 871.1 ± 315.5 781.8 ± 270.1 0.179
Duration of hormone therapy (year) 6.5 ± 6.7 6.0 ± 7.1 5.9 ± 7.8 0.757
Years since menopause (year) 17.6 ± 4.8 19.3 ± 5.1 19.3 ± 5.8 0.016
Alcohol (portions/ week) 1.0 ± 1.5 0.9 ± 1.5 0.4 ± 0.7 0.030
Current smoker n (%) 7 (3.7%) 11 (5.8%) 2 (6.7%) 0.867
Living status 0.029
 Single living household n (%) 49 (24.9%) 66 (32.2%) 18 (51.47%)
 At home with another person n (%) 148 (75.1%) 136 (66.3%) 17 (48.6%)
 At retirement home n (%) 0 (0.0%) 2 (1.0%) 0 (0.0%)
Marital status 0.084
 Unmarried 9 (4.6%) 9 (4.4%) 3 (8.3%)
 Cohabiting 10 (5.1%) 12 (5.9%) 0 (0.0%)
 Married 131 (66.8%) 120 (58.5%) 16 (44.4%)
 Divorced 16 (8.2%) 16 (6.3%) 4 (11.1%)
 Widow 28 (14.3%) 49 (23.9%) 13 (36.1%)

Categorical variables were presented as number of participants (percentages) and continuous variables as mean ± standard deviation (SD)

aP value from one-way ANOVA test and respective non-parametric test (Kruskal–Wallis) for continuous variables and Chi-square test for categorical variables