Table 1.
Sociodemographic characteristics | 10-TaGA risk categories | ||||
---|---|---|---|---|---|
Total | Low (n = 160) | Medium (n = 735) | High (n = 441) | P-value | |
Age (years), mean (SD) | 82.22 (7.58) | 78.74 (7.67) | 82.35 (7.34) | 83.26 (7.59) | < 0.001 |
Female, n (%) | 938 (70.21) | 97 (60.62) | 520 (70.75) | 321 (72.79) | 0.014 |
Ethnicity, n (%) | |||||
White | 758 (56.74) | 100 (62.50) | 415 (56.46) | 243 (55.10) | 0.488 |
Black | 376 (28.14) | 17 (10.62) | 85 (11.56) | 51 (11.57) | |
Mixed | 153 (11.45) | 35 (21.88) | 207 (28.17) | 134 (30.39) | |
Asian | 45 (3.37) | 8 (5.00) | 26 (3.54) | 11 (2.49) | |
Indigenous | 4 (0.30) | 0 (0.00) | 2 (0.27) | 2 (0.45) | |
Marital status, n (%) | |||||
Widowed | 698 (52.25) | 57 (35.62) | 391 (53.20) | 250 (56.69) | < 0.001 |
Married | 457 (34.21) | 83 (51.87) | 249 (33.88) | 125 (28.34) | |
Single | 92 (6.89) | 11 (6.88) | 42 (6.12) | 36 (8.16) | |
Divorced | 89 (6.66) | 9 (5.53) | 50 (6.80) | 30 (6.81) | |
Level of literacy (years), median (IQR) | 4 (1–5) | 4 (3–10) | 4 (2–5) | 4 (1–4) | < 0.001 |
Annual household income per capitaa, n (%) (N = 1318) | |||||
< 4000 USD | 345 (26.18) | 38 (24.36) | 191 (26.27) | 116 (26.67) | 0.028 |
4000–8000 USD | 684 (51.90) | 75 (48.08) | 364 (50.07) | 245 (56.32) | |
> 8000 USD | 289 (21.92) | 43 (27.56) | 172 (23.66) | 74 (17.01) |
aannual household income was classified according to the Brazilian minimum wage in 2017 (1 minimal wage = 4000 USD per year)
10-TaGA 10-min Target Geriatric Assessment, SD standard deviation, IQR interquartile range, USD United States dollar
To compare the 10-TaGA risk categories, we used one-way analysis of variance (ANOVA), its non-parametric equivalent (Kruskal-Wallis), and the trend chi-square test. All statistical tests were two-tailed, and an alpha level of 0.05 was used to determine significance