ArticlePloS one2026
Assessing the physiology of weight loss based on real-time weight monitoring: The ADAPT behavioral weight loss study protocol.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174389 (Physiological Changes Underlying the Weight Loss Plateau in Human), which is not on this map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Physiological Changes Underlying the Weight Loss Plateau in Human
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12 authors.
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Abstract
Improving health outcomes via sustained weight loss and maintenance requires advancing understanding of the metabolic, appetitive, and neurological alterations that counteract-and eventually halt-weight loss. Prior studies have demonstrated increased appetite as well as metabolic adaptations, such as increased energy efficiency, in response to weight loss. However, previous study designs utilized experimentally determined weight loss plateaus and did not investigate spontaneously occurring plateaus nor study participants in their natural, free-living, environments during weight loss. The Assessing Diet, Appetite, and Physiology Throughout weight loss (ADAPT) study was designed to address these limitations of prior research and elucidate mechanistic factors involved in spontaneous cessation of intentional weight loss in humans. ADAPT enrolls participants with obesity who undergo behavioral weight loss via a reduced calorie diet and increased physical activity. Participants' daily weight is monitored remotely, and new analytic approaches identify weight-loss phases in real time so that study assessments can be targeted to each participants' individualized trajectory during dynamic weight loss. Deep phenotyping of participants includes anthropometric, metabolic, neurophysiologic, and behavioral assessments; physical activity and physiologic monitoring via wearable devices; and serial sampling of biological tissues such as blood, adipose tissue, and muscle. In summary, the ADAPT study design is generating a uniquely informative and integrative dataset for deepening understanding of the biological mechanisms that halt behaviorally-induced weight loss and thereby limit its long-term health benefits for patients with obesity. NCT06174389.
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