SAN ANTONIO —
The findings, from surveys of more than 14,000 participants in WeightWatchers’ telehealth weight management program, were presented on November 6 at the Obesity Society’s Obesity Week 2024 meeting by the company’s Chief Nutrition Officer, Michelle I. Cardel, PhD, RD, based in Gainesville, Florida.
Similar reductions in alcohol consumption were seen in people taking different classes of AOMs, suggesting “an additional mechanism by which AOMs reduce energy intake, and also signal a potential role for these medications to reduce alcohol use,” Cardel said, adding “Clinicians treating individuals for obesity may consider anti-obesity medications particularly among those who report higher alcohol intake.”
Asked to comment, session moderator and obesity researcher Joseph A. Skelton, MD, professor of pediatrics at Wake Forest University School of Medicine, Winston-Salem, North Carolina, said, “I think there are some overlapping pathways there, possibly a reward system or something like that in the brain. I don’t think we know exactly what the end result will be as a potential use of the medications. But there’s a signal that needs to be investigated more.”
Cardel noted that there was one previous large cohort study finding that semaglutide was associated with a lower risk for alcohol use disorder, and another study that analyzed social media threads of people saying they’d quit drinking after starting a GLP-1 drug. But this new study is the first to examine the relationship with different classes of AOMs and to quantify the amount of alcohol consumed.
About Half Reported Reduced Alcohol Consumption, Regardless the AOM Class
The study included 14,053 WeightWatchers’ telehealth program participants who initiated an AOM between January 2022 and August 2023 and refilled the same AOM between October and November 2023. Those who had previously used AOMs before coming to the program or who had undergone bariatric surgery were excluded.
Participants had a mean age of 43 years, were 86% women, were 60% White, and had a mean body mass index of 36. They were surveyed about their weekly alcohol use prior to AOM initiation and again at the time of AOM refill.
At baseline, they were divided into categories of 0 (no alcohol use; n = 6562), category 1 (one to three drinks for women and one to six for men; n = 5948), category 2 (4-6 for women and 7-14 for men; n = 1216), and category 3 (≥ 7 for women and ≥ 15 for men; n = 327).
At the second survey, 24% reported decreased drinking after starting an AOM, 71% reported no change, and 4% reported increased drinking (P < .0001). But when just the 7491 individuals who reported any alcohol use at baseline were included, 45% reported decreased drinking after starting an AOM, 52% reported no change, and only 2% reported increased drinking.
The decrease in drinking with AOM use rose with greater alcohol use at baseline, from 37% for category 1, 76% for category 2, and 91% for category 3. The proportions reporting increased drinking were just 3%, 1%, and 0%, respectively. The adjusted odds ratios (ORs) for decreasing drinking were 5.97 for category 2 (P < .0001) and 19.18 for category 3 (P < .0001) vs category 1.
The proportions reporting reduced drinking were similar across AOM classes: 51% for metformin, 46% for bupropion/naltrexone, 46% for first-generation GLP-1s (Saxenda, Trulicity, and Victoza), and 45% for the second-generation GLP-1 drugs (Mounjaro, Ozempic, Rybelsus, Wegovy, and Zepbound). All were statistically significant at P < .0001.
The highest proportion reporting increased drinking was 4% for bupropion/naltrexone. Compared with women, men were significantly more likely to report decreased drinking with AOM use (adjusted OR, 0.74; P < .001), but there were no differences by race/ethnicity or age.
Compared with those who had overweight, those in obesity classes I, II, and III were all more likely to decrease drinking with AOM use, with adjusted ORs of 1.26 (P = .0045), 1.49 (P < .001), and 1.63 (P < .001), respectively.