Table 1

Study population characteristics

VariableN (%) or
median (IQR)
BMI (kg/m2)
<25*25–29.930–34.9 (I)†35–39.9 (II)†≥40 (III)†
All subjects324 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 %)
 Male150 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%)
 Female173 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%)
 Missing5 (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-American41 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%)
 Hispanic11 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 Islander4670 (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%)
 Other10 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%)
 Missing4464 (1.4%)
Smoking status (n, column %; row %)
 Current48 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%)
 Former96 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%)
 Never178 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%)
 Missing761 (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 only67 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 V85.4x3519 (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.