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. 2017 Nov 16;7(11):e017583. doi: 10.1136/bmjopen-2017-017583

Table 1.

Study population characteristics

Variable N (%) or
median (IQR)
BMI (kg/m2)
<25* 25–29.9 30–34.9 (I)† 35–39.9 (II)† ≥40 (III)†
All subjects 324 199 (100.0%) 68 424 (21.1%) 121 287 (37.4%) 75 199 (23.2%) 34 152 (10.5%) 25 137 (7.8%)
Age (years)‡ 52 (40–63) 48 (32–61) 54 (42–65) 54 (43–64) 52 (41–62) 49 (38–59)
Weight (lbs)‡ 185 (155–218) 133 (120–148) 177 (160–194) 207 (188–227) 234 (214–257) 278 (250–310)
Gender (n, column %; row %)
 Male 150 458 (46.4%) 20 340 (29.7%)
(13.5%)
66 164 (54.6%)
(44.0%)
40 092 (53.3%)
(26.6%)
15 116 (44.3%)
(10.0%)
8746 (34.8%)
(5.8%)
 Female 173 736 (53.6%) 48 083 (70.3%)
(27.7%)
55 121 (45.4%)
(31.2%)
35 107 (46.7%)
(20.2%)
19 034 (55.7%)
(11.0%)
16 391 (65.2%)
(9.4%)
 Missing 5 (0.0%)
Race (n, column %; row %)
 Caucasian (non-Hispanic) 251 028 (77.4%) 54 534 (81.4%)
(21.7%)
95 779 (80.1%)
(38.2)
57 548 (77.4%)
(22.9%)
25 392 (75.0%)
(10.1%)
17 775 (71.2%)
(7.1%)
 African-American 41 789 (12.9%) 5193 (7.7%)
(12.4%)
13 253 (11.1%)
(31.7%)
11 242 (15.1%)
(26.8%)
6264 (18.5%)
(15.0%)
5837 (23.4%)
(14.0%)
 Hispanic 11 799 (3.6%) 3425 (5.1%)
(29.0%)
4586 (3.8%)
(38.9%)
2387 (3.2%)
(20,1%)
913 (2.7%)
(7.7%)
488 (2.0%)
(4.1%)
 Asian/Pacific Islander 4670 (1.4%) 2222 (3.3%)
(47.6%)
1759 (1.5%)
(37.7%)
505 (0.7%)
(10.8%)
130 (0.4%)
(2.8%)
54 (0.2%)
(1.2%)
 Other 10 449 (3.2%) 1661 (2.5%)
(15.9%)
4158 (3.5%)
(39.8%)
2663 (3.6%)
(25.5%)
1144 (3.4%)
(10.9%)
823 (3.3%)
(7.9%)
 Missing 4464 (1.4%)
Smoking status (n, column %; row %)
 Current 48 128 (14.8%) 11 295 (16.6%)
(23.5%)
17 071 (14.1%)
(35.5%)
11 019 (14.7%)
(22.9%)
4987 (14.6%)
(10.4%)
3756 (15.0%)
(7.8%)
 Former 96 633 (39.8%) 15 214 (22.3%)
(15.7%)
37 899 (31.3%)
(39.2%)
24 607 (32.8%)
(25.5%)
11 094 (32.6%)
(11.5%)
7819 (31.2%)
(8.1%)
 Never 178 677 (55.1%) 41 707 (61.1%)
(23.3%)
66 081 (54.6%)
(37.0%)
39 404 (52.5%)
(22.1%)
17 996 (52.8%)
(10.1%)
13 489 (53.8%)
(7.5%)
 Missing 761 (0.2%)
Median household income‡ (US$) 59 420
(43 640–79 680)
62 210
(47 280–82 120)
62 500
(45 440–83 280)
58 300
(42 660–77 790)
53 890
(39 710–73 040)
49 940
(35 690–66 320)
Missing (n, %) 4319 (1.3%)
ICD-9 code for obesity (%)§ 76 777 (23.7%) 145b(0.2%) 12 576 (10.4%) 26 185 (34.8%) 18 934 (55.4%) 18 937 (75.3%)
 278.0x only 67 848 (88.4%) 136 (93.8%) 11 817 (94.0%) 21 477 (82.0%) 16 034 (84.7%) 18 384 (97.1%)
 V85.3x or V85.4x 3519 (4.6%) 7 (4.8%) 381 (3.0%) 2162 (8.3%) 878 (2.5%) 91 (0.5%)
 278.0x & V85.3x or
 V85.4x
5410 (7.0%) 2 (1.4%) 378 (3.0%) 2546 (9.7%) 2022 (10.7%) 462 (2.4%)

V85 codes indicate the extent of obesity; that is, V85.3x=BMI 30–39.9, V85.4x=BMI ≥ 40.

All measured associations between the weight classifications and the patient characteristics were statistically significant with a P value<0.0001.

*0.2% of subjects had ICD-9 codes for obesity for a median of 2.6 years prior to 1 July 2015.

†Obesity class.

‡Median (IQR).

§ICD-9 codes indicating obesity diagnosis.

BMI, body mass index; ICD-9, International Classification of Diseases, Ninth Revision.