TABLE 2.
Logistic Regression Analyses of Binary Postoperative %TBWL (LWL vs HWL+AWL)
| Univariate Models | Multivariate Model† | ||||||
|---|---|---|---|---|---|---|---|
| LWL | HWL+AWL | OR (95% CI) | P | OR (95% CI) | P | ||
| Sex, % | Female | 1447 (81.2%) | 3784 (85.1%) | 1 | — | — | — |
| Male | 335 (18.8%) | 663 (14.9%) | 1.32 (1.14–1.53) | <0.001 | 1.19 (1.01–1.40) | 0.04 | |
| Race/ethnicity, % | Asian | 73 (4.1%) | 111 (2.5%) | 1.95 (1.44–2.64) | <0.001 | 1.62 (1.17–2.24) | 0.003 |
| Black | 298 (16.7%) | 486 (10.9%) | 1.82 (1.55–2.14) | <0.001 | 1.85 (1.56–2.21) | <0.001 | |
| Hispanic | 418 (23.5%) | 1008 (22.7%) | 1.23 (1.07–1.41) | 0.003 | 1.22 (1.05–1.41) | 0.01 | |
| White | 894 (50.2%) | 2656 (59.7%) | 1 | — | — | — | |
| Other* | 99 (5.6%) | 186 (4.2%) | 1.58 (1.22–2.04) | <0.001 | 1.35 (1.02–1.76) | 0.03 | |
| Age (years) at surgery, Mean ± SD | 46.8 ± 10.7 | 44.0 ± 10.9 | 1.02 (1.02–1.03) | <0.001 | 1.01 (1.00–1.02) | 0.002 | |
| NDI | Mean ± SD | −0.040 (0.8) | −0.010 (0.8) | 0.96 (0.90–1.02) | 0.20 | — | — |
| BMI (kg/m2) at surgery | Mean ± SD | 41.4 ± 6.1 | 42.54 ± 6.32 | 0.97 (0.97–0.98) | <0.001 | 0.98 (0.97–0.99) | 0.002 |
| Preoperative comorbidities, N (%) | Diabetes | 760 (42.6%) | 1047 (23.5%) | 2.41 (2.15–2.71) | <0.001 | 2.02 (1.77–2.31) | <0.001 |
| Hypertension | 1092 (61.3%) | 2170 (48.8%) | 1.66 (1.49–1.86) | <0.001 | 1.26 (1.10–1.44) | <0.001 | |
| Sleep apnea | 934 (52.4%) | 1852 (41.6%) | 1.54 (1.38–1.72) | <0.001 | 1.40 (1.24–1.59) | <0.001 | |
| Preoperative weight loss Mean ± SD | %TBWL | 6.7 ± 3.3 | 8.6 ± 3.8 | 0.85 (0.84–0.87) | <0.001 | 0.85 (0.84–0.87) | <0.001 |
| Surgery type, N (%) | RYGB | 841 (47.2%) | 2180 (49.0%) | 0.96 (0.88–1.05) | 0.19 | — | — |
| SG | 941 (52.8%) | 2267 (51.0%) | 1 | — | — | — | |
*“
Other” race/ethnicity category included patients who self-reported “other” or “don’t know” or if patients self-selected multiethnic categories.
†
Multivariate analysis was not completed on sociod-emographic and clinical factors that did not show statistical significance on univariate analysis.
AWL indicates average weight loss; BMI, body mass index; CI, confidence interval; HWL, high weight loss; LWL, low weight loss; NDI, neighborhood deprivation index; OR, odds ratio; SD, standard deviation.