Published online Oct 15, 2013. doi: 10.4239/wjd.v4.i5.202
Revised: August 26, 2013
Accepted: September 14, 2013
Published online: October 15, 2013
Processing time: 86 Days and 2.9 Hours
AIM: To investigate whether or not bariatric surgery weight outcomes vary by ethnicity in a large, nationally representative sample of adolescents.
METHODS: The Bariatric Outcomes Longitudinal Database was used for analysis and contains data on surgeries performed on adolescents from 2004 to 2010 from 423 surgeons at 360 facilities across the United States Adolescents (n = 827) between 11 and 19 years old who underwent either gastric bypass or adjustable gastric banding surgery were included in the analysis. Outcome measures included changes in anthropometric measurements [weight (kg) and body mass index] from baseline to 3 (n = 739), 6 (n = 512), and 12 (n = 247) mo after surgery.
RESULTS: A year after patients underwent either gastric bypass (51%) or adjustable gastric banding (49%) surgery, mean estimated weight loss for all ethnic groups differed by a maximum of only 1.5 kg, being 34.3 kg (95%CI: 30.0-38.5 kg) for Hispanics, 33.8 kg (95%CI: 27.3-40.3 kg) for non-Hispanic blacks, and 32.8 kg (95%CI: 30.9-34.7 kg) for non-Hispanic whites. No overall pairwise group comparisons were significant, indicating that no ethnic group had better weight loss outcomes than did another.
CONCLUSION: Bariatric surgery substantially reduces the weight of severely obese adolescents at 1 year post-procedure with little variation by ethnicity and/or gender. These results suggest that bariatric surgery is a safe and reasonable treatment for all severely obese adolescents with the appropriate indications.
Core tip: Bariatric surgery is one of the few effective treatments for severe obesity. Among adults, outcomes of bariatric surgery differ by ethnicity. We tested whether this relationship is also true among adolescents. Outcome measures included changes in anthropometric measurements (weight and body mass index) from baseline (n = 827) to 1 year after surgery. Our results support the conclusion that bariatric surgery can substantially reduce weight in severely obese adolescents for at least 1 year, irrespective of their race or ethnicity. Ethnicity is a reasonable and safe treatment for all severely obese adolescents with the appropriate indications.
- Citation: Messiah SE, Lopez-Mitnik G, Winegar D, Sherif B, Arheart KL, Reichard KW, Michalsky MP, Lipshultz SE, Miller TL, Livingstone AS, Cruz-Muñoz NL. Effect of ethnicity on weight loss among adolescents 1 year after bariatric surgery. World J Diabetes 2013; 4(5): 202-209
- URL: https://www.wjgnet.com/1948-9358/full/v4/i5/202.htm
- DOI: https://dx.doi.org/10.4239/wjd.v4.i5.202
The Centers for Disease Control and Prevention (CDC) recently reported that the prevalence of childhood obesity in the United States has stabilized over the past few years, although it remains high among all age, sex, and ethnic groups[1]. An estimated 12% of all United States children between 2 and 19 years old have a body mass index (BMI) ≥ 97th percentile for age and sex. Moreover, the prevalence of obesity differs significantly among racial and ethnic groups. In 2009-2010, 21% of Hispanic and 24% of non-Hispanic black children and adolescents were obese, whereas 14% of non-Hispanic white children and adolescents were obese.
Childhood obesity has several health-related consequences that, until recently, were documented only in adulthood, including hypertension, insulin resistance, glucose intolerance, and dyslipidemia[2]. In turn, these conditions are risk factors for type 2 diabetes and cardiovascular disease in both childhood and adulthood[3-5]. Weight-loss surgery among both adults and adolescents has become increasingly recognized as effective treatment for severe obesity and several of its related comorbidities[6-10]. Current studies suggest that neither pharmacologic nor dietary treatment can maintain weight loss in obese adolescents as effectively as can weight-loss surgery[11,12].
Several studies have shown that among adults, weight loss outcomes after bariatric surgery differ by ethnicity with some studies reporting better outcomes among non-Hispanic whites than among non-Hispanic blacks[13-16]. Although the literature on outcomes of bariatric surgery in adolescents has increased exponentially, many studies are small and usually from single institutional series[8]. As a result, patients are not geographically or ethnically diverse, despite the fact that obesity disproportionately affects ethnic minorities[1].
Accordingly, we analyzed data from the Bariatric Outcomes Longitudinal Database (BOLD), a large national database that tracks outcomes in patients from a wide geographical area who have undergone bariatric surgery. We report here the results of our analysis, which indicate that weight loss in a large cohort of severely obese adolescents 1 year after bariatric surgery did not differ by ethnicity.
Data for the BOLD database are collected prospectively from participants in the Bariatric Surgery Center of Excellence (BSCOE) program sponsored by the American Society for Metabolic and Bariatric Surgery (ASMBS)[17]. Participating centers enter data collected on all bariatric surgery patients during preoperative visits, the hospital stay, and all postoperative visits. These data are used to monitor adherence to the requirements of the BSCOE program and to support quality assessments for the surgical treatment of obesity and its associated conditions.
All BSCOE programs undergo a site inspection before approval and recertification every 3 years. During the site inspection, the accuracy of BOLD data is verified in an impartially selected sample of 10% of medical records. All data on complications and readmissions are also reviewed for accuracy. To ensure accurate data input, any discrepancies result in a mandatory review of all charts at that center.
The Copernicus Group Independent Review Board (Durham, NC) approved the use of BOLD data for research. The BOLD study has been registered with the National Institutes of Health (clinical trial #NCT01002352). Informed consent was obtained from all parents and assent was obtained from all patients.
About 65% (169000) of patients treated by surgeons participating in the BSCOE program have allowed their data to be analyzed for research purposes. Preliminary analyses show that the demographic characteristics of patients included in the database do not differ substantially from those who are not[17]. Data are currently entered into the database by more than 1000 surgeons from more than 600 facilities in the United States (all states are represented with the exception of Vermont and New Mexico), representing approximately 85% of all facilities nationwide performing at least 10 bariatric procedures per year.
We analyzed data from all patients 11 to 19 years old who had undergone bariatric surgery between April 2004 and October 2010 (the most current data available for analysis) who allowed their data to be used for research purposes. The data analyzed here came from 360 facilities and 423 surgeons participating in the BSCOE program. All patients had met the National Institutes of Health criteria for bariatric surgery[18]. Thus, all patients had a BMI > 35 kg/m2 and ≥ 1 co-morbidity (e.g., elevated blood pressure, hypercholesterolemia) or a BMI > 40 kg/m2.
We collected data on age, sex, race/ethnicity, weight (kg), BMI, and weight loss, calculated as the difference between the weight before surgery and the weight at each respective time point.
Intraoperative data used in the present analysis consisted of the procedure (gastric bypass or adjustable gastric band) and the date of surgery. The primary outcomes were weight loss measured by various anthropometric measures and consisted of age-and sex-adjusted BMI percentiles as well as crude BMI and weight (kg)[19]. Data were collected before surgery and at 3, 6 and 12 mo after surgery.
Because not all patients had their follow-up appointment exactly at these times, the 3-mo data collection point included data collected from 0 to 3 mo after surgery, the 6-mo time point consisted of data collected from 3 to 9 mo after surgery, and the 12-mo time point consisted of data collected 9 to 15 mo after surgery.
To assess changes in weight and BMI, separate repeated-measures, linear mixed-models were fit using the MIXED procedure in SAS version 9.2 (SAS Institute, Inc., Cary, NC, United States). A compound symmetric variance-covariance matrix was selected for each model to account for the correlation of within-patient repeated observations. Age at surgery, sex, surgery type (gastric bypass or adjustable gastric band), and time period of data collection were the fixed covariates considered for potential inclusion in each model; patients were considered to be a random variable. Because the sample was so skewed in terms of distribution of BMI percentile (the majority of patients had a BMI at or above the 99th percentile, the clinical definition of “severe obesity” before surgery) and because the literature consistently reports that comorbidities intensify and multiply with increased weight[4,5] we also analyzed the results for three categories defined by baseline BMI values: 35.0-49.0 kg/m2; 50.0-59.99 kg/m2; and greater than 60.0 kg/m2.
Patients may not have been eligible for follow-up analysis if they had surgery shortly before the analysis: 89% of eligible patients were seen at 3 mo (n = 739), 62% at 6 mo (n = 512), and 30% (n = 247) at 12 mo after surgery. Those identified as “other” are not included in the denominator or the follow-up analysis as a result of the small sample size.
Because of potential selection bias caused by losses to follow-up, we tested for any selection bias between the whole sample (n = 890) and those patients for which data from all four time-points were available (n = 247) using the mixed-model approach described below and by including an indicator variable for complete or incomplete data[20]. Results showed that the two samples did not differ on baseline BMI or weight outcomes or between the proportion of males and females. This finding supports the external validity of our overall conclusions.
In a mixed model, the particular levels of fixed-effects are of interest, and inferences are made for those specific levels; random-effects are considered to be random samples from the population, and inferences are not made to a specific sample but to the entire population. The interaction between time and ethnicity was also assessed. A planned-comparisons approach was used to evaluate changes between ethnic groups because mean baseline BMI values differed significantly. Contrasts were used to test for differences between groups at each time for mean values of weight and BMI. Alpha was set at 0.05.
Of the 890 eligible adolescents, 75% were females (mean age, 18.5 years 68% were white non-Hispanic, 15% were Hispanic, 11% were non-Hispanic black, and 6% were “other”’ (Table 1). Gastric bypass surgery was performed in 51% of the patients, and gastric band surgery in 49%. At baseline, males were significantly heavier than females. Those undergoing gastric bypass surgery were significantly heavier than those undergoing adjustable gastric band surgery. Non-Hispanic whites were significantly lighter than their ethnic group counterparts (Table 1). Because of these significant baseline differences in sex and surgery type, all subsequent analyses are adjusted for these variables.
| Characteristic | n (%) | Baseline BMI Z | P |
| score, mean ± SD | |||
| Sex | < 0.001 | ||
| Boys | 225 (25.3) | 3.14 ± 0.24 | |
| Girls | 665 (74.7) | 2.41 ± 0.19 | |
| Type of surgery | < 0.001 | ||
| Gastric bypass | 454 (51.0) | 2.67 ± 0.38 | |
| Adjustable gastric band | 436 (49.0) | 2.53 ± 0.36 | |
| Race | |||
| Non-hispanic white | 606 (68.1) | 2.57 ± 0.37 | Reference |
| Hispanic | 129 (14.5) | 2.68 ± 0.40 | 0.0041 |
| Non-hispanic black | 98 (11.0) | 2.67 ± 0.34 | 0.022 |
| Other | 57 (6.4) | 2.60 ± 0.42 |
All anthropometric measures significantly decreased in non-Hispanic whites and Hispanics throughout the 1 year follow-up period (Table 2). Among both non-Hispanic whites and Hispanics, mean BMI percentile decreased to just below non-obese levels 1 year after surgery (94.67th percentiles for both groups, respectively).
| Measurement | Non-hispanic whites, | Non-hispanic blacks, | Hispanics, | Overall, |
| estimate (95%CI) | estimate (95%CI) | estimate (95%CI) | estimate1 (95%CI) | |
| Baseline | ||||
| n | 601 | 98 | 128 | 827 |
| BMI (kg/m2) | 47.9 (47.3-48.4) | 51.7 (50.1-53.4) | 48.9 (47.7-50.2) | 48.5 (48.0-49.0) |
| BMI (%) | 99.3 (99.2-99.4) | 99.5 (99.4-99.6) | 99.4 (99.3-99.5) | 99.4 (99.3-99.4) |
| Weight (kg) | 136.8 (135.0-138.6) | 147.9 (142.5-153.3) | 137.7 (134.1-141.3) | 138.4 (136.8-140.0) |
| 3 mo after surgery | ||||
| n | 536 | 88 | 115 | 739 |
| BMI (kg/m2) | 43.9 (43.4-44.5) | 47.9 (46.4-49.4) | 44.5 (43.3-45.6) | 44.48 (43.98-44.97) |
| BMI (%) | 99.0 (98.0-99.1) | 99.3 (99.2-99.4) | 99.1 (99.0-99.2) | 99.02 (98.96-99.08) |
| Weight (kg) | 125.6 (123.9-127.4) | 137.0 (132.0-141.9) | 125.1 (121.7-128.4) | 126.84 (125.33-128.35) |
| EWL (kg) | 10.7 (10.1-11.3) | 10.57 (9.11-12.04) | 12.3 (10.5-14.1) | 10.9 (10.4-11.5) |
| EWL (%) | 7.8 (7.3-8.2) | 6.9 (6.0-7.8) | 8.6 (7.4-9.7) | 7.8 (7.4-8.2) |
| 6 mo after surgery | ||||
| n | 380 | 54 | 78 | 512 |
| BMI (kg/m2) | 39.0 (38.3-39.7) | 44.1 (42.4-45.7) | 39.9 (38.5-41.2) | 39.70 (39.1-40.3) |
| BMI (%) | 97.0 (96.5-97.5) | 98.9 (98.6-99.1) | 97.8 (97.3-98.3) | 97.3 (96.9-97.7) |
| Weight (kg) | 111.7 (109.7-113.7) | 125.7 (120.4-131.0) | 111.9 (108.2-115.6) | 113.3 (111.6-115.0) |
| EWL (kg) | 25.1 (24.1-26.0) | 22.3 (19.7-25.0) | 25.4 (22.8-28.0) | 24.8 (23.9-25.7) |
| EWL (%) | 18.3 (17.66-19.0) | 14.5 (12.9-16.1) | 18.1 (16.2-19.9) | 17.8 (17.2-18.4) |
| 12 mo after surgery | ||||
| n | 193 | 26 | 28 | 247 |
| BMI (kg/m2) | 36.6 (35.7-37.4) | 40.3 (37.5-43.0) | 36.7 (34.7-38.8) | 37.0 (36.3-37.8) |
| BMI (%) | 94.7 (93.6-95.7) | 96.8 (94.3-99.2) | 94.7 (92.2-97.2) | 94.9 (94.0-95.8) |
| Weight (kg) | 104.6 (102.1-107.0) | 114.7 (106.4-123.0) | 103.1 (97.3-109.0) | 105.6 (103.4-107.8) |
| EWL (kg) | 32.8 (30.9-34.7) | 33.8 (27.3-40.3) | 34.3 (30.0-38.5) | 33.1 (31.4-34.82) |
| EWL (%) | 23.6 (22.3-24.9) | 21.6 (17.4-25.7) | 24.7 (21.8-27.7) | 23.5 (22.4-24.7) |
When the sample was stratified by sex the variation among ethnic groups was only 3.7 kg for girls and 10 kg for boys (Tables 3 and 4). Further analysis revealed no significant differences between pairwise ethnic group comparisons for all anthropometric measures (Table 5).
| Measurement | Non-hispanic whites, | Non-hispanic blacks, | Hispanics, | Overall, |
| estimate (95%CI) | estimate (95%CI) | estimate (95%CI) | estimate1 (95%CI) | |
| Before surgery | ||||
| n | 142 | 23 | 42 | 207 |
| BMI (kg/m2) | 51.2 (49.8-52.7) | 52.3 (49.0-55.5) | 52.8 (50.8-54.9) | 51.68 (50.53-52.84) |
| BMI (%) | 99.9 (99.6-100.0) | 99.9 (99.8-100.0) | 99.9 (99.8-100.0) | 99.9 (99.8-100..0) |
| Weight (kg)2 | 162.4 (158.0-166.7) | 166.7 (155.3-178.2) | 161.8 (155.8-167.8) | 162.8 (159.3-166.3) |
| 3 mo after surgery | ||||
| n | 127 | 21 | 38 | 186 |
| BMI (kg/m2) | 46.9 (45.5-48.3) | 47.5 (44.8-50.2) | 47.1 (45.2-48.9) | 46.9 (45.9-48.1) |
| BMI (%) | 99.7 (99.6-99.8) | 99.9 (99.7-99.9) | 99.8 (99.7-99.9) | 99.8 (99.7-99.9) |
| Weight (kg)2 | 148.5 (144.1-152.8) | 151.7 (141.7-161.7) | 144.3 (138.6-149.9) | 148.0 (144.5-151.4) |
| EWL (kg)2 | 13.2 (11.7-14.6) | 14.4 (10.9-17.9) | 17.3 (13.3-21.3) | 14.1 (12.8-15.4) |
| EWL (%) | 8.1 (7.3-8.9) | 8.5 (6.6-10.3) | 10.4 (8.2-12.6) | 8.6 (7.9-9.4) |
| 6 mo after surgery | ||||
| n | 83 | 17 | 26 | 126 |
| BMI (kg/m2) | 41.9 (40.3-43.9) | 43.4 (40.9-45.9) | 41.8 (39.9-43.6) | 42.0 (40.8-43.2) |
| BMI (%) | 98.7 (98.1-99.3) | 99.6 (99.4-99.8) | 99.6 (99.4-99.7) | 98.9 (98.6-99.4) |
| Weight (kg)2 | 132.7 (127.8-137.6) | 138.5 (129.8-147.1) | 128.1 (122.4-133.8) | 132.4 (128.7-136.1) |
| EWL (kg)2 | 29.7 (27.4-31.9) | 28.1 (22.8-33.5) | 34.0 (29.6-38.4) | 30.3 (28.4-32.1) |
| EWL (%) | 18.3 (16.8-19.8) | 16.2 (13.9-18.6) | 20.5 (18.2-22.8) | 18.4 (17.3-19.6) |
| 12 mo after surgery23 | ||||
| n | 49 | 7 | 9 | 65 |
| BMI (kg/m2) | 39.6 (37.8-41.5) | 40.2 (35.5-44.8) | 37.0 (34.0-40.0) | 39.3 (37.8-40.9) |
| BMI (%) | 97.5 (95.8-99.1) | 98.6 (96.9-100.4) | 98.2 (96.8-99.7) | 97.7 (96.5-98.9) |
| Weight (kg)2 | 125.3 (119.6-130.9) | 127.9 (113.3-142.5) | 113.7 (104.6-122.9) | 128.7 (118.9-128.5) |
| EWL (kg)2 | 37.9 (33.7-42.1) | 40.4 (26.8-54.0) | 47.9 (41.2-54.6) | 40.1 (36.5-43.7) |
| EWL (%) | 22.9 (20.4-25.4) | 23.0 (16.0-30.0) | 29.4 (25.2-33.6) | 24.0 (21.9-26.2) |
| Measurement | Non-hispanic whites, | Non-hispanic blacks, | Hispanics, | Overalls, |
| estimate (95%CI) | estimate (95%CI) | estimate (95%CI) | Estimate1 (95%CI) | |
| Before Surgery | ||||
| n | 459 | 75 | 86 | 620 |
| BMI (kg/m2) | 46.8 (46.2-47.5) | 51.6 (49.6-53.6) | 47.0 (45.5-48.6) | 47.5 (46.9-48.1) |
| BMI (%) | 99.1 (99.0-99.2) | 99.4 (99.3-99.5) | 99.2 (99.0-99.3) | 99.2 (99.1-99.3) |
| Weight (kg) | 129.1 (127.18-131.1) | 141.6 (135.4-147.7) | 125.9 (121.5-130.4) | 130.3 (128.6-132.1) |
| 3 mo after surgery | ||||
| n | 409 | 67 | 77 | 553 |
| BMI (kg/m2) | 43.0 (42.4-43.6) | 48.0 (46.3-49.8) | 43.3 (41.8-44.7) | 43.7 (43.1-44.2) |
| BMI (%) | 98.7 (98.6-98.8) | 99.1 (98.9-99.2) | 98.7 (98.5-98.9) | 98.8 (98.7-98.9) |
| Weight (kg) | 118.7 (116.9-120.5) | 131.9 (126.3-137.6) | 116.0 (111.8-120.2) | 119.9 (118.2-121.6) |
| EWL (kg) | 9.9 (9.3-10.7) | 9.2 (7.6-10.7) | 9.8 (8.0-11.6) | 9.8 (9.2-10.4) |
| EWL (%) | 7.7 (7.1-8.2) | 6.3 (5.3-7.4) | 7.7 (6.3-9.1) | 7.5 (7.0-7.9) |
| 6 mo after surgery | ||||
| n | 297 | 37 | 52 | 386 |
| BMI (kg/m2) | 38.1 (37.4-38.8) | 44.4 (42.3-46.4) | 39.0 (37.1-40.8) | 38.9 (38.3-39.6) |
| BMI (%) | 96.5 (95.9-97.1) | 98.6 (98.3-98.9) | 96.9 (96.2-97.7) | 96.8 (96.3-97.2) |
| Weight (kg) | 105.3 (103.2-107.4) | 121.8 (115.4-128.3) | 104.2 (99.3-109.1) | 107.0 (105.1-108.8) |
| EWL (kg) | 23.7 (22.6-24.8) | 20.0 (16.9-23.2) | 21.2 (17.9-24.5) | 22.9 (21.9-24.0) |
| EWL (%) | 18.3 (17.5-19.1) | 13.8 (11.7-15.8) | 16.9 (14.4-19.5) | 17.6 (16.9-18.4) |
| 12 mo after surgery | ||||
| n | 149 | 19 | 19 | 182 |
| BMI (kg/m2) | 35.6 (34.7-36.6) | 40.32 (36.96-43.67) | 36.65 (34.15-39.16) | 36.28 (35.40-37.17) |
| BMI (%) | 93.9 (92.6-95.1) | 96.10 (92.81-99.39) | 92.99 (89.48-96.51) | 93.99 (92.87-95.12) |
| Weight (kg) | 98.3 (95.5-101.0) | 110.4 (100.5-120.2) | 98.0 (91.3-104.6) | 99.6 (97.1-102.1) |
| EWL (kg) | 31.2 (29.1-33.4) | 31.4 (24.0-38.8) | 27.8 (22.9-32.6) | 30.9 (28.9-32.8) |
| EWL (%) | 23.8 (22.3-25.2) | 21.1 (16.1-26.2) | 22.5 (18.7-26.3) | 23.4 (22.0-24.7) |
| Measure | Estimated change 12 mo after surgery (mean ± SE) | P | |||||
| NHW | NHB | Hispanic | Overall | NHWvsNHB | NHWvsHispanic | NHBvsHispanic | |
| BMI (kg/m2) | -11.4 ± 0.5 | -11.2 ± 1.6 | -12.7 ± 1.2 | -11.5 ± 0.4 | 0.87 | 0.29 | 0.41 |
| BMI (%) | -4.7 ± 0.6 | -2.7 ± 1.3 | -4.9 ± 1.3 | -4.6 ± 0.5 | 0.2 | 0.89 | 0.29 |
| Weight (kg) | -32.2 ± 1.3 | -32.3 ± 4.6 | -36 ± 3.5 | -32.6 ± 1.2 | 0.89 | 0.31 | 0.44 |
Changes in BMI varied somewhat by preoperative BMI category. For the entire sample, the highest BMI category lost the most BMI units when compared to lowest BMI category (17.8 kg/m2vs 9.9 kg/m2, respectively, P < 0.001). Only Hispanics showed no difference in weight loss between the three groups (11.7 kg/m2) (Table 6). Rate of change over the year for the three BMI categories did not vary much by ethnicity or sex, but they did by surgery type: in all three categories, BMI was reduced more among those who underwent gastric bypass surgeries than among those who had adjustable band surgeries (P < 0.001) (data not shown on tables).
Details about aggregate post-operative complications are published elsewhere[9]. Briefly, of the 120 complications reported (13.5%), 38 were with the gastrointestinal system and 26 were with nutritional deficiencies. Complication rates did not differ by ethnicity. Similarly, when readmissions (n = 55) were analyzed by ethnic group, no significant differences were found. (Data not reported). One death was reported from cardiac arrest 5 mo after (gastric bypass) surgery.
In a national sample of ethnically diverse, severely obese adolescents, 1 year after bariatric surgery, weight and other anthropometric measures had decreased by the same amount in all racial/ethnic groups and in both sexes. Mean estimated weight loss for all three groups at 1 year differed by a maximum of only 1.5 kg. Surgery resulted in an average weight loss of more than 30 kg per person, a loss that far exceeds those reported in non-surgical weight-management programs[21].
Among adults, ethnicity predicts better weight loss outcomes after bariatric surgery, with some studies reporting better outcomes among NHWs than among NHBs. There is little information about outcomes in Hispanics. Harvin et al[13] found that 2 years after undergoing bariatric surgery, NHW adults had lost significantly more weight than did their ethnic group counterparts. Similarly, Buffington et al[15] found that NHB adults had less-successful weight outcomes after gastric bypass than did NHW adults. Among adults, NHB women lost considerably less weight after surgery than did NHW women[13-16]. Additionally, in the Netherlands, Admiraal et al[22] found that African, South Asian, Turkish and Moroccan patients lost less weight at 1-year post-gastric bypass surgery versus their ethnic Dutch counterparts.
Conversely, most studies of adolescent bariatric surgery are case series from a single-institution, resulting in samples that are generally small and relatively homogeneous, which does not permit robust comparisons among ethnic groups[8]. Although race and ethnicity are independently associated with cardiometabolic disease risk[23,24], we found that weight loss was similar among all three ethnic groups and varied more among boys than among girls. However, no overall pairwise group comparisons were significant, indicating that no ethnic group had better weight loss outcomes than did another, unlike comparisons of adults, as described above. Parental influence over post-operative adherence to quality nutrition and physical activity recommendations may partially explain the lack of ethnic group differences.
Although the childhood obesity epidemic continues unabated in most developed countries, non-surgical approaches to the long-term (1 year or more) management and decrease of overweight in childhood have had limited success[21]. Despite standardized indications for bariatric surgery in adolescents[25], obese children are not simply younger versions of obese adults; they are still developing and growing, both physically and psychologically. Extreme obesity should be treated sooner rather than later[8], particularly in adolescents, who may have not yet developed full-blown, related comorbidities, such as diabetes or heart disease. Our analysis found that type of surgery significantly influences weight loss, however and thus must be a consideration for adolescents considering this alternative; gastric bypass surgery resulted in significantly more weight loss at 1-year versus adjustable gastric band surgery. Therefore, gastric bypass may be a viable option for those who are in need of more weight loss to resolve co-morbidities that have already developed. However, the optimal age in adolescence for bariatric surgery is as yet undetermined[24]. Our findings, and those of others[26,27] indicate that bariatric surgery before adulthood can substantially reduce weight[10,25] and resolve comorbidities[25]. Moreover, earlier treatment of obesity may prevent later costs. For example, children and adolescents with a primary or secondary diagnosis of overweight, obesity, or severe obesity require longer hospital stays than do children without these diagnoses[28].
Even as the emerging data on bariatric surgery-including those from randomized-controlled trials[26,29] -continue to show important long-term weight loss and improvement in most obesity-related comorbidities, many pediatric specialists still hesitate to refer patients for surgery[30]. A survey of several hundred pediatricians in the United States showed that, although they believed pediatric obesity to be a major problem, less than half would be somewhat or very likely to refer a severely obese adolescent for surgery[30]. Yet, the medical consequences of childhood obesity continue and suggest that overt disease beginning in early adulthood may become chronic[31].
Our findings and conclusions are limited by a substantial amount of missing follow-up data, a common problem in the bariatric literature among both adults and adolescents. Older adolescents in particular are difficult to follow because they may leave the geographic area for education or employment. More age-relevant tracking procedures, such as those based on social media or handheld or cellular telephone devices, may be able to decrease losses to follow-up.
Variations in practice management among BSCOE participants may delay data entry, potentially resulting in incomplete follow-up data. Additionally, pre-surgical information on nutritional deficiencies is not available to determine whether surgery is the cause of the few deficiencies we found or whether these deficiencies existed before surgery.
Our results support the conclusion that bariatric surgery can substantially reduce weight in severely obese adolescents for at least 1 year, irrespective of their race or ethnicity. Ethnicity should not be a contraindication for bariatric surgery in adolescents, which is a reasonable and safe treatment for all severely obese adolescents with the appropriate indications.
We thank all the surgeons and centers of excellence that have contributed their data to Bariatric Outcomes Longitudinal Database (BOLD). We also thank ASMBS for its continued efforts to support BOLD. Finally, we are grateful to all the bariatric patients who agreed to share their data for the current analyses.
Several studies have shown that among adults, weight loss outcomes after bariatric surgery differ by ethnicity. Although the literature on outcomes of bariatric surgery in adolescents has increased exponentially, many studies are small and usually from single institutional series. As a result, patients are not geographically or ethnically diverse, despite the fact that obesity disproportionately affects ethnic minorities.
Bariatric surgery is one of the few effective treatments for morbid obesity. Among adults, outcomes of bariatric surgery differ by ethnicity.
In a national sample of ethnically diverse, severely obese adolescents, 1 year after bariatric surgery, weight and other anthropometric measures had decreased by the same amount in all racial/ethnic groups and in both sexes. Mean estimated weight loss for all three groups at 1 year differed by a maximum of only 1.5 kg. Surgery resulted in an average weight loss of more than 30 kg per person, a loss that far exceeds those reported in non-surgical weight-management programs.
Bariatric surgery substantially reduces the weight of severely obese adolescents at 1 year post-procedure with little variation by ethnicity and/or gender. These results suggest that bariatric surgery is a safe and reasonable treatment for all severely obese adolescents with the appropriate indications.
Bariatric surgery is synonymous with weight loss surgery and in this analysis consisted of two specific types: gastric bypass surgery and adjustable gastric band surgery.
Attrition is one of the major challenges with this patient population and that is indeed apparent in the analysis here. As a result, the authors could not simultaneously dichotomize surgery type and ethnicity thus why surgeries are reported in aggregate. Instead, the purpose of this article was to focus on exploring ethnic group differences in weight loss 1 year after surgery.
P- Reviewers Leitman IM, Milone M, Mazzocchi M, Tagaya N, Wang DR, Yin DP S- Editor Ma YJ L- Editor A E- Editor Wang CH
| 1. | Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA. 2012;307:483-490. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2774] [Cited by in F6Publishing: 2647] [Article Influence: 220.6] [Reference Citation Analysis (0)] |
| 2. | Ford ES, Li C. Defining the metabolic syndrome in children and adolescents: will the real definition please stand up? J Pediatr. 2008;152:160-164. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 208] [Cited by in F6Publishing: 218] [Article Influence: 13.6] [Reference Citation Analysis (0)] |
| 3. | Lee S, Bacha F, Gungor N, Arslanian S. Comparison of different definitions of pediatric metabolic syndrome: relation to abdominal adiposity, insulin resistance, adiponectin, and inflammatory biomarkers. J Pediatr. 2008;152:177-184. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 102] [Cited by in F6Publishing: 112] [Article Influence: 7.0] [Reference Citation Analysis (0)] |
| 4. | Sun SS, Liang R, Huang TT, Daniels SR, Arslanian S, Liu K, Grave GD, Siervogel RM. Childhood obesity predicts adult metabolic syndrome: the Fels Longitudinal Study. J Pediatr. 2008;152:191-200. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 171] [Cited by in F6Publishing: 159] [Article Influence: 9.9] [Reference Citation Analysis (0)] |
| 5. | Morrison JA, Friedman LA, Wang P, Glueck CJ. Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later. J Pediatr. 2008;152:201-206. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 445] [Cited by in F6Publishing: 442] [Article Influence: 27.6] [Reference Citation Analysis (0)] |
| 6. | Sugerman HJ, DeMaria EJ, Kellum JM, Sugerman EL, Meador JG, Wolfe LG. Effects of bariatric surgery in older patients. Ann Surg. 2004;240:243-247. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 179] [Cited by in F6Publishing: 165] [Article Influence: 8.3] [Reference Citation Analysis (0)] |
| 7. | Inge TH, Jenkins TM, Zeller M, Dolan L, Daniels SR, Garcia VF, Brandt ML, Bean J, Gamm K, Xanthakos SA. Baseline BMI is a strong predictor of nadir BMI after adolescent gastric bypass. J Pediatr. 2010;156:103-108.e1. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 119] [Cited by in F6Publishing: 104] [Article Influence: 7.4] [Reference Citation Analysis (0)] |
| 8. | Treadwell JR, Sun F, Schoelles K. Systematic review and meta-analysis of bariatric surgery for pediatric obesity. Ann Surg. 2008;248:763-776. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 216] [Cited by in F6Publishing: 225] [Article Influence: 14.1] [Reference Citation Analysis (0)] |
| 9. | Messiah SE, Lopez-Mitnik G, Winegar D, Sherif B, Arheart KL, Reichard KW, Michalsky MP, Lipshultz SE, Miller TL, Livingstone AS. Changes in weight and co-morbidities among adolescents undergoing bariatric surgery: 1-year results from the Bariatric Outcomes Longitudinal Database. Surg Obes Relat Dis. 2013;9:503-513. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 64] [Cited by in F6Publishing: 51] [Article Influence: 4.6] [Reference Citation Analysis (0)] |
| 10. | de la Cruz-Muñoz N, Messiah SE, Arheart KL, Lopez-Mitnik G, Lipshultz SE, Livingstone A. Bariatric surgery significantly decreases the prevalence of type 2 diabetes mellitus and pre-diabetes among morbidly obese multiethnic adults: long-term results. J Am Coll Surg. 2011;212:505-511; discussion 512-513. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 39] [Cited by in F6Publishing: 39] [Article Influence: 3.0] [Reference Citation Analysis (0)] |
| 11. | Yermilov I, McGory ML, Shekelle PW, Ko CY, Maggard MA. Appropriateness criteria for bariatric surgery: beyond the NIH guidelines. Obesity (Silver Spring). 2009;17:1521-1527. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 69] [Cited by in F6Publishing: 75] [Article Influence: 5.0] [Reference Citation Analysis (0)] |
| 12. | Hollenbeak CS, Rogers AM, Barrus B, Wadiwala I, Cooney RN. Surgical volume impacts bariatric surgery mortality: a case for centers of excellence. Surgery. 2008;144:736-743. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 81] [Cited by in F6Publishing: 88] [Article Influence: 5.5] [Reference Citation Analysis (0)] |
| 13. | Harvin G, DeLegge M, Garrow DA. The impact of race on weight loss after Roux-en-Y gastric bypass surgery. Obes Surg. 2008;18:39-42. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 41] [Cited by in F6Publishing: 46] [Article Influence: 2.7] [Reference Citation Analysis (0)] |
| 14. | Parikh M, Lo H, Chang C, Collings D, Fielding G, Ren C. Comparison of outcomes after laparoscopic adjustable gastric banding in African-Americans and whites. Surg Obes Relat Dis. 2006;2:607-610; discussion 610-612. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 29] [Cited by in F6Publishing: 30] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
| 15. | Buffington CK, Marema RT. Ethnic differences in obesity and surgical weight loss between African-American and Caucasian females. Obes Surg. 2006;16:159-165. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 55] [Cited by in F6Publishing: 58] [Article Influence: 3.2] [Reference Citation Analysis (0)] |
| 16. | Anderson WA, Greene GW, Forse RA, Apovian CM, Istfan NW. Weight loss and health outcomes in African Americans and whites after gastric bypass surgery. Obesity (Silver Spring). 2007;15:1455-1463. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 56] [Cited by in F6Publishing: 59] [Article Influence: 3.5] [Reference Citation Analysis (0)] |
| 17. | DeMaria EJ, Pate V, Warthen M, Winegar DA. Baseline data from American Society for Metabolic and Bariatric Surgery-designated Bariatric Surgery Centers of Excellence using the Bariatric Outcomes Longitudinal Database. Surg Obes Relat Dis. 2010;6:347-355. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 277] [Cited by in F6Publishing: 289] [Article Influence: 20.6] [Reference Citation Analysis (0)] |
| 18. | Gastrointestinal surgery for severe obesity. NIH consensus development conference, March 25-27,1991. Nutrition. 1996;12:397-404. [PubMed] [Cited in This Article: ] |
| 19. | Centers for Disease Control and Prevention. BMI - Body Mass Index: BMI for Children and Teens: 2011. Available from: http: //www.cdc.gov/nccdphp/dnpa/bmi/bmi-for-age.htm.. [DOI] [Cited in This Article: ] [Cited by in Crossref: 49] [Cited by in F6Publishing: 51] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
| 20. | Chakraborty H, Gu H. A Mixed Model Approach for Intent-to-Treat Analysis in Longitudinal Clinical Trials with Missing Values. RTI Press publication No. MR-0009-0903, 2009. Research Triangle Park, NC: RTI International. Retrieved May 20 2011; Available from: http: //www.rti.org/rtipress. [Cited in This Article: ] |
| 21. | Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O’Malley C, Stolk RP, Summerbell CD. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009;CD001872. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 404] [Cited by in F6Publishing: 587] [Article Influence: 39.1] [Reference Citation Analysis (0)] |
| 22. | Admiraal WM, Bouter K, Celik F, Gerdes VE, Klaassen RA, van Dielen FM, van Ramshorst B, van Wagensveld BA, Hoekstra JB, Holleman F. Ethnicity influences weight loss 1 year after bariatric surgery: a study in Turkish, Moroccan, South Asian, African and ethnic Dutch patients. Obes Surg. 2013;23:1497-1500. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
| 23. | Capella RF, Capella JF. Ethnicity, Type of Obesity Surgery and Weight Loss. Obes Surg. 1993;3:375-380. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 25] [Cited by in F6Publishing: 26] [Article Influence: 0.8] [Reference Citation Analysis (0)] |
| 24. | Messiah SE, Carrillo-Iregui A, Garibay-Nieto G, Lopez-Mitnik G, Cossio S, Arheart KL. Inter- and intra-ethnic group comparison of metabolic syndrome components among morbidly obese adolescents. J Clin Hypertens (Greenwich). 2010;12:645-652. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis (0)] |
| 25. | Pratt JS, Lenders CM, Dionne EA, Hoppin AG, Hsu GL, Inge TH, Lawlor DF, Marino MF, Meyers AF, Rosenblum JL. Best practice updates for pediatric/adolescent weight loss surgery. Obesity (Silver Spring). 2009;17:901-910. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 237] [Cited by in F6Publishing: 187] [Article Influence: 12.5] [Reference Citation Analysis (0)] |
| 26. | O’Brien PE, Sawyer SM, Laurie C, Brown WA, Skinner S, Veit F, Paul E, Burton PR, McGrice M, Anderson M. Laparoscopic adjustable gastric banding in severely obese adolescents: a randomized trial. JAMA. 2010;303:519-526. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 276] [Cited by in F6Publishing: 236] [Article Influence: 16.9] [Reference Citation Analysis (0)] |
| 27. | Inge TH, Miyano G, Bean J, Helmrath M, Courcoulas A, Harmon CM, Chen MK, Wilson K, Daniels SR, Garcia VF. Reversal of type 2 diabetes mellitus and improvements in cardiovascular risk factors after surgical weight loss in adolescents. Pediatrics. 2009;123:214-222. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 150] [Cited by in F6Publishing: 154] [Article Influence: 10.3] [Reference Citation Analysis (0)] |
| 28. | Hlaing WM, Messiah SE, Lipshultz SE, Ludwig DA. Obesity and length of hospital stay in children: a retrospective review of Florida Agency for Health Care Administration data. Prog Ped Cardiol. 2011;31:66-72. [DOI] [Cited in This Article: ] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 0.4] [Reference Citation Analysis (0)] |
| 29. | Keidar A, Hecht L, Weiss R. Bariatric surgery in obese adolescents. Curr Opin Clin Nutr Metab Care. 2011;14:286-290. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis (0)] |
| 30. | Iqbal CW, Kumar S, Iqbal AD, Ishitani MB. Perspectives on pediatric bariatric surgery: identifying barriers to referral. Surg Obes Relat Dis. 2009;5:88-93. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 32] [Cited by in F6Publishing: 33] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
| 31. | Lipshultz SE, Messiah SE, Miller TL, Editors . Pediatric Metabolic Syndrome: Comprehensive Clinical Review and Related Health Issues. London: Springer 2012; . [DOI] [Cited in This Article: ] |