ArticleSurgical endoscopy2021
Influence of sociodemographic variables on weight loss outcomes up to 3-years following primary bariatric surgery.
Article in Surgical endoscopy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Health Disparities in Obesity Treatment Outcomes, Access, and Utilization.Current obesity reports · 2025Review
- Equitable Access, Lasting Results: The Influence of Socioeconomic Environment on Bariatric Surgery Outcomes.Obesity surgery · 2025Article
- The long weight: association between distressed communities index and long-term weight outcomes following bariatric surgery.Surgical endoscopy · 2023Article
- Mid-Term Outcomes of Laparoscopic Gastric Greater Curvature Plication versus Roux-en-Y Gastric Bypass: Weight Loss, Gastrointestinal Symptoms, and Health-Related Quality of Life.Medicina (Kaunas, Lithuania) · 2021Article
- Beta Cell Function as a Baseline Predictor of Weight Loss After Bariatric Surgery.Frontiers in endocrinology · 2021Observational
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur group has previously demonstrated that low socioeconomic status (SES) independently predicts ≤ 25th percentile weight-loss following bariatric surgery (BS). Given that sociodemographic metrics can be separated into income, education, and race, we sought to investigate how each metric independently impacted weight loss following BS.
methodsPatients from a single academic institution who underwent bariatric surgery from 2014 to 2016 were retrospectively reviewed. Patients were stratified by income (low/high), education (≤ high school/ ≥ college), and race (black/white) then compared using univariate analysis. Variables significant on univariate analyses were subsequently used for a greedy 1:3 propensity score match with a caliper of 0.2. After matching, groups were balanced on demographics, social/medical/psychological history, and surgery type. Percent excess body weight loss for each post-operative time point was compared using appropriate univariate analyses. A p-value ≤ 0.05 was considered statistically significant.
results571 patients were included. Unmatched race analysis demonstrated black patients were significantly younger (p = 0.05), single (p < 0.0001), in a lower income bracket (p < 0.0001), and experienced less weight loss at 2- (p = 0.01), 6- (p = 0.007), 12- (p = 0.008) and 24- (p = 0.007) months post-op. After matching, black patients continued to experience less weight loss at 2- (p = 0.01) and 6- (p = 0.03) months, which trended at 1 year (p = 0.06). Initial income analysis demonstrated patients in the low-income group (LIG) were more likely to be black (p < 0.0001), have ≤ high school education (p = 0.004), a higher preoperative BMI (p = 0.008), and lower postoperative weight loss at 2- (p = 0.001), 6- (p = 0.01), and 12- (p = 0.04) months after surgery. After matching, no differences were observed up to 3-years post-op. Analysis of education demonstrated no effect on weight loss in both unmatched and matched analyses.
conclusionUnmatched analysis demonstrated that low income and race impact short-term weight loss after BS. After matching, however, race, not socioeconomic status, predicted weight loss outcomes up to 1-year.
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