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Table 1 Baseline sample sociodemographic characteristics (2017) of Prospective GERiatric Observational (ProGERO) Study, according to the 10-min Target Geriatric Assessment (10-TaGA) risk categories (n = 1336)

From: Prospective GERiatric Observational (ProGERO) study: cohort design and preliminary results

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)

  1. aannual household income was classified according to the Brazilian minimum wage in 2017 (1 minimal wage = 4000 USD per year)
  2. 10-TaGA 10-min Target Geriatric Assessment, SD standard deviation, IQR interquartile range, USD United States dollar
  3. 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