| Literature DB >> 22993644 |
Devinder Singh1, Antonio J V Forte, Hamid R Zahiri, Lindsay E Janes, Jennifer Sabino, Jamil A Matthews, Robert L Bell, J Grant Thomson.
Abstract
OBJECTIVE: Body contouring surgery has become a steadily increasing part of weight loss treatment in the population of patients electing to undergo bariatric surgery. This study aims to elicit factors that can be used to prognosticate which bariatric surgery patients will choose to undergo body contouring procedures.Entities:
Year: 2012 PMID: 22993644 PMCID: PMC3443410
Source DB: PubMed Journal: Eplasty ISSN: 1937-5719
Demographics for each group
| Mean ± SD | Analysis of Variance | |||
|---|---|---|---|---|
| Variable | No Body Contouring | Body Contouring | ||
| Age (y) | 41 ± 10 | 36 ± 9 | .003 | .003 |
| Sex | 82.8% female | 83.3% female | .880 | .880 |
| EBW (lb) | 176.20 ± 55.75 | 187.84 ± 61.2 | .285 | .285 |
| Preoperative BMI (Kg/m2) | 50.75 ± 8.68 | 52.42 ± 8.13 | .318 | .318 |
| Follow-up (d) | 850.8 ± 191.7 | 749.2 ± 202.2 | .024 | .024 |
| Six-month BMI (Kg/m2) | 37.36 ± 7.6 | 36.70 ± 6.9 | .683 | .683 |
| Six-month change in BMI (Kg/m2) | 13.82 ± 3.0 | 16.10 ± 4.0 | .001 | .001 |
| Six-month %EWL (lb) | 50.31 ± 12.3 | 54.40 ± 12.3 | .120 | .120 |
| One-year BMI (Kg/m2) | 34.10 ± 7.4 | 31.60 ± 4.9 | .110 | .110 |
| One-year change in BMI (Kg/m2) | 17.39 ± 4.6 | 21.40 ± 6.6 | <.0001 | <.0001 |
| One-year %EWL (lb) | 62.01 ± 16.6 | 70.11 ± 13.3 | .024 | .024 |
BMI indicates body mass index (kg/m2); EBW, excess body weight; %EWL, percent excess weight loss.
Logistic regression univariate analysis for all variables of interest
| Variable | Odds Ratio | |
|---|---|---|
| Age | 0.955 | .019 |
| Age (<34 years) | 3.113 | .004 |
| Preoperative BMI (kg/m2) | 1.021 | .319 |
| EBW | 1.003 | .285 |
| Follow up (d) | 1.003 | .027 |
| Six month change in BMI (kg/m2) | 1.221 | .002 |
| Six month %EWL (lb) | 1.028 | .118 |
| One year BMI (kg/m2) | 0.943 | .110 |
| One year change in BMI (kg/m2) | 1.153 | .001 |
| One year %EWL (lb) | 1.031 | .026 |
BMI indicates body mass index (kg/m2); EBW, excess body weight; %EWL, percent excess weight loss.
*Odds ratio indicates odds per single unit increase.
†Continuous scale variable, in units of years.
‡Bivariate variable, with cutoff at 34 years of age.
Logistic regression best-fit model
| Variable | Odds Ratio | |
|---|---|---|
| Age (<34 years) | 2.891 | .023 |
| %EWL at 12 months (lb) | 1.018 | .241 |
| One year change in BMI (kg/m2) | 1.124 | .009 |
BMI indicates body mass index; %EWL, percent excess weight loss.
*Odds ratio indicates odds per single unit increase.
†Age variable is bivariate, with cutoff at 34 years of age.