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. 2023 Nov 13;35(3):451–468. doi: 10.1007/s00198-023-06955-9

Table 2.

Profile of participants regarding their wishes, experience, and self-assessment of fracture risk

All (n = 332) Canada, Hamilton (n = 31) Canada, COPN (n = 30) USA, California (n = 35) USA, Washington (n = 29) Mexico (n = 36) Argentina (n = 30) The Netherlands (n = 19) Belgium (n = 30) UK (n = 29) Spain (n = 28) Japan (n = 35) p-value2
Importance to know FR (1–7)1 6.22 ± 1.40 6.39 ± 1.28 6.60 ± 1.08 6.6 ± 1.06 6.25 ± 1.27 6.19 ± 1.89 6.23 ± 1.30 5.79 ± 1.69 4.97 ± 1.6 6.34 ± 1.11 6.79 ± 0.63 6.11 ± 1.39  < 0.001
Importance to know FR > 5 285 (85.8) 25 (88.6) 28 (93.3) 33 (94.3) 25 (86.2) 30 (83.3) 24 (80.0) 15 (78.9) 21 (70.0) 27 (93.1) 27 (96.4) 30 (85.7) 0.08
Previous communication of FR
  Yes 185 (55.7) 21 (67.7) 27 (90.0) 22 (62.9) 18 (62.1) 31 (86.1) 14 (46.7) 11 (57.9) 5 (16.7) 14 (48.3) 22 (78.6) 0 (0.0)  < 0.001
    Remembered level of risk communicated 156 (47.0) 21 (67.7) 22 (73.3) 15 (42.8) 15 (51.7) 25 (80.6) 12 (40.0) 8 (42.1) 5 (16.7) 13 (44.8) 20 (71.4) 0 (0.0)
  No 124 (37.3) 7 (22.6) 3 (10.0) 11 (31.4) 11 (37.9) 3 (8.3) 11 (36.7) 4 (21.1) 19 (63.3) 15 (51.7) 5 (17.9) 35 (100.0)
  Unsure 23 (6.9) 3 (9.7) 0 (0.00) 2 (5.7) 0 (0.00) 2 (5.6) 5 (16.7) 4 (21.1) 6 (20.0) 0 (0.00) 1 (3.6) 0 (0.0)
Self-assessment of FR
  Low 62 (18.7) 14 (45.2) 5 (16.7) 10 (28.6) 5 (17.2) 2 (5.6) 7 (23.3) 1 (5.3) 10 (33.3) 1 (3.4) 2 (7.1) 5 (14.3)  < 0.001
  Moderate 100 (30.1) 10 (32.3) 11 (36.7) 11 (31.4) 9 (31.0) 4 (11.1) 12 (40.0) 4 (21.1) 9 (30.0) 7 (24.1) 10 (35.7) 13 (37.1)
  High 110 (33.1) 6 (19.4) 12 (40.0) 8 (22.9) 9 (31.0) 7 (19.4) 6 (20.0) 11 (57.9) 4 (13.3) 18 (62.1) 14 (50.0) 15 (42.9)
  Do not know 59 (17.8) 1 (3.2) 2 (6.7) 6 (17.1) 5 (17.2) 23 (63.9) 5 (16.7) 3 (15.8) 7 (23.3) 3 (10.3) 2 (7.1) 2 (5.7)

NB. Quantitative variables are expressed in mean ± SD; binary and categorical variables are expressed in absolute and relative frequencies, n (%)

FR fracture risk

1Scale for importance to know fracture risk: not important l (1), very important (7)

2p-values assessing statistical differences between countries were obtained using a Chi2 test (or exact Fisher test) for categorical/binary variables and using a one-way ANOVA for quantitative variables

FR fracture risk