Table 1.

Patient characteristics by race and diabetes status at MM diagnosis

Entire cohort, N (%)Total
5383 (100%)
Nondiabetic
4593 (85.3%)
Diabetic
790 (14.7%)
P value 
Race, n (%)    <.0001 
Black 1001 (18.6%) 754 (16.4%) 247 (31.3%)  
White 4382 (81.4%) 3839 (83.6%) 543 (68.7%)  
Gender, n (%)    .0486 
Female 2381 (44.2%) 2057 (44.8%) 324 (41.0%)  
Male 3002 (55.8%) 2536 (55.2%) 466 (59.0%)  
Age (y), n (%)    <.0001 
<45 326 (6.1%) 307 (6.7%) 19 (2.4%)  
45-60 1558 (28.9%) 1373 (29.9%) 185 (23.4%)  
>60 3499 (65.0%) 2913 (63.4%) 586 (74.2%)  
BMI, n (%)    <.0001 
Underweight 89 (1.7%) 85 (1.9%) 4 (0.5%)  
Normal 1612 (29.9%) 1460 (31.8%) 152 (19.2%)  
Overweight 2079 (38.6%) 1823 (39.7%) 256 (32.4%)  
Obese 1603 (29.8%) 1225 (26.7%) 378 (47.8%)  
Entire cohort, N (%)Total
5383 (100%)
Nondiabetic
4593 (85.3%)
Diabetic
790 (14.7%)
P value 
Race, n (%)    <.0001 
Black 1001 (18.6%) 754 (16.4%) 247 (31.3%)  
White 4382 (81.4%) 3839 (83.6%) 543 (68.7%)  
Gender, n (%)    .0486 
Female 2381 (44.2%) 2057 (44.8%) 324 (41.0%)  
Male 3002 (55.8%) 2536 (55.2%) 466 (59.0%)  
Age (y), n (%)    <.0001 
<45 326 (6.1%) 307 (6.7%) 19 (2.4%)  
45-60 1558 (28.9%) 1373 (29.9%) 185 (23.4%)  
>60 3499 (65.0%) 2913 (63.4%) 586 (74.2%)  
BMI, n (%)    <.0001 
Underweight 89 (1.7%) 85 (1.9%) 4 (0.5%)  
Normal 1612 (29.9%) 1460 (31.8%) 152 (19.2%)  
Overweight 2079 (38.6%) 1823 (39.7%) 256 (32.4%)  
Obese 1603 (29.8%) 1225 (26.7%) 378 (47.8%)  
Black cohort, n (%)Total 1001 (100%)Nondiabetic 754 (75.3%)Diabetic 247 (24.7%)P value
Gender, n (%)    .7162 
Female 549 (54.8%) 416 (55.2%) 133 (53.8%)  
Male 452 (45.2%) 338 (44.8%) 114 (46.2%)  
Age (y), n (%)    <.0001 
<45 81 (8.1%) 75 (9.9%) 6 (2.4%)  
45-60 351 (35.1%) 280 (37.1%) 71 (28.7%)  
>60 569 (56.8%) 399 (52.9%) 170 (68.8%)  
BMI, n (%)    .0014 
Underweight 13 (1.3%) 11 (1.5%) 2 (0.8%)  
Normal 253 (25.3%) 205 (27.2%) 48 (19.4%)  
Overweight 374 (37.4%) 291 (38.6%) 83 (33.6%)  
Obese 361 (36.1%) 247 (32.8%) 114 (46.2%)  
Black cohort, n (%)Total 1001 (100%)Nondiabetic 754 (75.3%)Diabetic 247 (24.7%)P value
Gender, n (%)    .7162 
Female 549 (54.8%) 416 (55.2%) 133 (53.8%)  
Male 452 (45.2%) 338 (44.8%) 114 (46.2%)  
Age (y), n (%)    <.0001 
<45 81 (8.1%) 75 (9.9%) 6 (2.4%)  
45-60 351 (35.1%) 280 (37.1%) 71 (28.7%)  
>60 569 (56.8%) 399 (52.9%) 170 (68.8%)  
BMI, n (%)    .0014 
Underweight 13 (1.3%) 11 (1.5%) 2 (0.8%)  
Normal 253 (25.3%) 205 (27.2%) 48 (19.4%)  
Overweight 374 (37.4%) 291 (38.6%) 83 (33.6%)  
Obese 361 (36.1%) 247 (32.8%) 114 (46.2%)  
White cohort, n (%)Total 4382 (100%)Nondiabetic 3839 (87.6%)Diabetic 543 (12.4%)P value
Gender, n (%)    .0008 
Female 1832 (41.8%) 1641 (42.7%) 191 (35.2%)  
Male 2550 (58.2%) 2198 (57.3%) 352 (64.8%)  
Age (y), n (%)    <.0001 
<45 245 (5.6%) 232 (6.0%) 13 (2.4%)  
45-60 1207 (27.5%) 1093 (28.5%) 114 (21.0%)  
>60 2930 (66.9%) 2514 (65.5%) 416 (76.6%)  
BMI, n (%)    <.0001 
Underweight 76 (1.7%) 74 (1.9%) 2 (0.4%)  
Normal 1359 (31.0%) 1255 (32.7%) 104 (19.2%)  
Overweight 1705 (38.9%) 1532 (39.9%) 173 (31.9%)  
Obese 1242 (28.3%) 978 (25.5%) 264 (48.6%)  
White cohort, n (%)Total 4382 (100%)Nondiabetic 3839 (87.6%)Diabetic 543 (12.4%)P value
Gender, n (%)    .0008 
Female 1832 (41.8%) 1641 (42.7%) 191 (35.2%)  
Male 2550 (58.2%) 2198 (57.3%) 352 (64.8%)  
Age (y), n (%)    <.0001 
<45 245 (5.6%) 232 (6.0%) 13 (2.4%)  
45-60 1207 (27.5%) 1093 (28.5%) 114 (21.0%)  
>60 2930 (66.9%) 2514 (65.5%) 416 (76.6%)  
BMI, n (%)    <.0001 
Underweight 76 (1.7%) 74 (1.9%) 2 (0.4%)  
Normal 1359 (31.0%) 1255 (32.7%) 104 (19.2%)  
Overweight 1705 (38.9%) 1532 (39.9%) 173 (31.9%)  
Obese 1242 (28.3%) 978 (25.5%) 264 (48.6%)  

χ2P value testing association between patient characteristic and diabetes status within race.

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