{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T22:21:28Z","timestamp":1790029288303,"version":"4.0.1"},"reference-count":98,"publisher":"Wiley","issue":"S2","license":[{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:00:00Z","timestamp":1783468800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>The last 2 decades have seen historic advances in the treatment of obesity. We are entering an era of defining obesity not by weight\u2010based outcomes but by changes in body composition. Glucagon\u2010like peptide\u20101 receptor\u00a0agonists (GLP\u20101 RAs) are forming the platform for obesity treatments based on their high level of efficacy. Body composition can be quantified by changes in percent fat\/fat\u2010free mass as a total of body weight. The amount of weight that is lost as % fat\u2010free mass (% FFML) with diet\u2010induced weight loss is ~25% but is extremely variable. Our aim was to provide an update to our previous report assessing\u00a0changes in body composition using GLP\u20101 RA\u2010based agents. In our updated review of 40 DXA\u2010based reports, we found the mean (SD) % FFML was 29.1% (19.0%). Similar to our previous report, we found that the changes in body composition using\u00a0these agents remain in the upper range of expected % FFML using other nonsurgical interventions for obesity. Functional measures of strength and performance and assessing body composition effects of future GLP\u20101\u2010based agents are needed to understand the continued gaps that exist in determining the impact these treatments have, particularly in high\u2010risk populations.<\/jats:p>","DOI":"10.1002\/oby.70212","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T07:02:46Z","timestamp":1783494166000},"page":"51-63","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Glucagon\u2010Like Peptide\u20101 Receptor Agonist\u2010Based Agents and Body Composition: Filling\n                    <i>More<\/i>\n                    <scp>Gaps<\/scp>"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7378-9650","authenticated-orcid":false,"given":"Robert L.","family":"Dubin","sequence":"first","affiliation":[{"name":"Pennington Biomedical Research Center Louisiana State 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