1. Patient profiling for success after weight loss surgery (GO Bypass study): An interdisciplinary study protocol
- Author
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Anja Hilbert, Lars Naver, Andrea Karen Floyd, Carel W. le Roux, Oliver J. Hulme, Hartwig R. Siebner, Wender L.P. Bredie, Torben Hansen, Bodil Just Christensen, Tobias Morville, Julie Berg Schmidt, Louise Tækker, Susanne Lunn, Jens J. Holst, Christian Ritz, Mette S. Nielsen, Lotte Holm, Anders Sjödin, and ONO Pharmaceuticals Co Ltd
- Subjects
Weight loss ,media_common.quotation_subject ,Y GASTRIC BYPASS ,030209 endocrinology & metabolism ,Research & Experimental Medicine ,FOOD ADDICTION SCALE ,Impulsivity ,BARRATT IMPULSIVENESS SCALE ,Article ,03 medical and health sciences ,POSTTRAUMATIC-STRESS-DISORDER ,0302 clinical medicine ,Interdisciplinary ,Quality of life ,Alexithymia ,Binge-eating disorder ,Study protocol ,medicine ,Personality ,030212 general & internal medicine ,Sleeve gastrectomy ,BARIATRIC SURGERY ,media_common ,Pharmacology ,lcsh:R5-920 ,Science & Technology ,PRELIMINARY VALIDATION ,Addiction ,General Medicine ,BIAS INTERNALIZATION SCALE ,medicine.disease ,Gastric bypass (RYGB) ,SHORT SCREENING SCALE ,BINGE-EATING DISORDER ,PSYCHOLOGICAL-ASSESSMENT ,Eating disorders ,Medicine, Research & Experimental ,medicine.symptom ,lcsh:Medicine (General) ,Life Sciences & Biomedicine ,Clinical psychology - Abstract
Despite substantial research efforts, the mechanisms proposed to explain weight loss after gastric bypass (RYGB) and sleeve gastrectomy (SL) do not explain the large individual variation seen after these treatments. A complex set of factors are involved in the onset and development of obesity and these may also be relevant for the understanding of why success with treatments vary considerably between individuals. This calls for explanatory models that take into account not only biological determinants but also behavioral, affective and contextual factors. In this prospective study, we recruited 47 women and 8 men, aged 25–56 years old, with a BMI of 45.8 ± 7.1 kg/m2 from the waiting list for RYGB and SL at Køge hospital, Denmark. Pre-surgery and 1.5, 6 and 18 months after surgery we assessed various endpoints spanning multiple domains. Endpoints were selected on basis of previous studies and include: physiological measures: anthropometrics, vital signs, biochemical measures and appetite hormones, genetics, gut microbiota, appetite sensation, food and taste preferences, neural sensitivity, sensory perception and movement behaviors; psychological measures: general psychiatric symptom-load, depression, eating disorders, ADHD, personality disorder, impulsivity, emotion regulation, attachment pattern, general self-efficacy, alexithymia, internalization of weight bias, addiction, quality of life and trauma; and sociological and anthropological measures: sociodemographic measures, eating behavior, weight control practices and psycho-social factors.Joining these many endpoints and methodologies from different scientific disciplines and creating a multi-dimensional predictive model has not previously been attempted. Data on the primary endpoint are expected to be published in 2018. Despite substantial research efforts, the mechanisms proposed to explain weight loss after gastric bypass (RYGB) and sleeve gastrectomy (SL) do not explain the large individual variation seen after these treatments. A complex set of factors are involved in the onset and development of obesity and these may also be relevant for the understanding of why success with treatments vary considerably between individuals. This calls for explanatory models that take into account not only biological determinants but also behavioral, affective and contextual factors. In this prospective study, we recruited 47 women and 8 men, aged 25–56 years old, with a BMI of 45.8 ± 7.1 kg/m2 from the waiting list for RYGB and SL at Køge hospital, Denmark. Pre-surgery and 1.5, 6 and 18 months after surgery we assessed various endpoints spanning multiple domains. Endpoints were selected on basis of previous studies and include: physiological measures: anthropometrics, vital signs, biochemical measures and appetite hormones, genetics, gut microbiota, appetite sensation, food and taste preferences, neural sensitivity, sensory perception and movement behaviors; psychological measures: general psychiatric symptom-load, depression, eating disorders, ADHD, personality disorder, impulsivity, emotion regulation, attachment pattern, general self-efficacy, alexithymia, internalization of weight bias, addiction, quality of life and trauma; and sociological and anthropological measures: sociodemographic measures, eating behavior, weight control practices and psycho-social factors.Joining these many endpoints and methodologies from different scientific disciplines and creating a multi-dimensional predictive model has not previously been attempted. Data on the primary endpoint are expected to be published in 2018.
- Published
- 2018