Glucagon-like peptide-1 receptor agonists (GLP-1s) are medications originally developed for type 2 diabetes that produce significant weight loss by reducing appetite and slowing how quickly the stomach empties. Their use for obesity has expanded rapidly: roughly 6% of U.S. adults reported current use in 2024, rising to 22% among adults who are overweight or obese.1 Because GLP-1s reduce caloric intake by 16% to 39%, recent observational research has raised concern that long-term use could lead to deficiencies in vitamins, minerals, and protein, risks long recognized after bariatric (weight-loss) surgery where standard practice includes routine post-operative nutritional labs and supplementation.2 One large claims-based study reported that more than 22% of patients newly prescribed a GLP-1 had a documented nutritional deficiency within one year of starting treatment,3 but how these rates compare to those seen after bariatric surgery or with other weight-loss medications across a similar follow-up window has been less clearly characterized in real-world data. Understanding how diagnosed malnutrition varies by intervention type and by amount of weight loss can help clinicians decide when nutritional screening is warranted and inform emerging guidance on monitoring patients during pharmacologic weight loss.
We studied more than 2 million U.S. adults aged 18 and older who initiated a new weight-loss intervention between January 2018 and December 2025: a GLP-1 prescription, another type of weight-loss medication, or a bariatric surgical procedure. Patients were required to have a documented weight or BMI in the year before starting their intervention and to remain in active follow-up through 15 months post-intervention. We calculated the share of patients in each group who received a new diagnosis of nutritional or iron-deficiency anemia or any vitamin deficiency between 90 days and 15 months after starting treatment and stratified those rates by the percent change in body weight from baseline.
Bariatric surgery patients had higher rates of new nutritional or iron-deficiency anemia diagnoses than patients on either pharmacologic intervention, and this gap held across every level of weight change. Overall, 12.5% of bariatric surgery patients had a new anemia diagnosis at 15 months, compared to 4.6% of GLP-1 patients and 3.8% of patients on other weight-loss medications. Among patients using GLP-1 and other weight-loss medication, anemia rates rose modestly with greater weight loss, ranging from around 3.5% at stable weight to more than 7% among patients losing more than 30% of body weight. In contrast, bariatric surgery patients had anemia rates between 10.8% and 15.1% across all weight-change strata, including those who gained weight or were weight-stable. Because routine post-surgical nutritional monitoring is standard after metabolic and bariatric surgery but is largely absent in pharmacologic weight management,4 part of the observed difference between groups might reflect difference in surveillance and detection rather than differences in underlying deficiency.
Vitamin deficiency rates followed a different pattern than anemia. Overall, 17.9% of bariatric surgery patients, 13.9% of GLP-1 patients, and 12.9% of patients on other weight-loss medications had a new vitamin deficiency diagnosis at 15 months. However, the bariatric-medication gap emerged only at losses of 5% or more: among patients who gained weight or lost less than 5%, GLP-1 patients had slightly higher vitamin deficiency rates than bariatric patients (14.0% vs. 11.6% at a gain of 2.5% or more). At larger weight losses, bariatric rates climbed sharply: 30.6% of bariatric patients who lost more than 30% of body weight had a new diagnosis, compared to 21.0% of GLP-1 patients and 22.0% of patients on other weight-loss medications. This divergence at higher weight loss likely reflects both the more profound nutritional impact of surgery at that magnitude of loss and the routine post-surgical monitoring that increases detection.2,4
A sensitivity analysis accounting for BMI classification, history of conditions such as alcohol use disorder, depression, kidney disease, smoking status, and demographics had similar results.