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Predicting program attendance and weight loss in obesity interventions: Do triggering events help?

ABSTRACT: Medical events that "trigger" motivation to lose weight may improve treatment outcomes compared to non-medical or no triggering events. However, previous findings include only long-term successful participants, not those initiating treatment. The current study compared those with medical triggering events or non-medical triggering events to no triggering events on attendance and weight loss during a weight management program. Medical-triggering-event participants lost 1.8 percent less weight (p = 0.03) than no-triggering-event participants. Non-medical-triggering-event participants attended 1.45 more sessions (p = 0.04) and were 1.83 times more likely to complete the program (p = 0.03) than no-triggering-event participants. These findings fail to support the benefit of medical triggering events when beginning treatment for obesity.

SUBMITTER: Borgatti A

PROVIDER: S-EPMC8074571 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Predicting program attendance and weight loss in obesity interventions: Do triggering events help?

Borgatti Alena A Tang Ziting Z Tan Fei F Salvy Sarah-Jeanne SJ Dutton Gareth G

Journal of health psychology 20191121 11

Medical events that "trigger" motivation to lose weight may improve treatment outcomes compared to non-medical or no triggering events. However, previous findings include only long-term successful participants, not those initiating treatment. The current study compared those with medical triggering events or non-medical triggering events to no triggering events on attendance and weight loss during a weight management program. Medical-triggering-event participants lost 1.8 percent <i>less</i> wei ...[more]

PMID: 31749387

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Project description:BACKGROUND & AIMS:Obesity is a leading healthcare issue contributing to metabolic diseases. There is a great interest in non-invasive approaches for quantitating abdominal fat in obese animals and humans. In this work, we propose an automated method to distinguish and quantify subcutaneous and visceral adipose tissues (SAT and VAT) in rodents during obesity and weight loss interventions. We have also investigated the influence of different magnetic resonance sequences and sources of variability in quantification of fat depots. MATERIALS AND METHODS:High-fat diet fed rodents were utilized for investigating the changes during obesity, exercise, and calorie restriction interventions (N?=?7/cohort). Imaging was performed on a 7T Bruker ClinScan scanner using fast spin echo (FSE) and Dixon imaging methods to estimate the fat depots. Finally, we quantified the SAT and VAT volumes between the L1-L5 lumbar vertebrae using the proposed automatic hybrid geodesic region-based curve evolution algorithm. RESULTS:Significant changes in SAT and VAT volumes (p<0.01) were observed between the pre- and post-intervention measurements. The SAT and VAT were 44.22±9%, 21.06±1.35% for control, -17.33±3.07%, -15.09±1.11% for exercise, and 18.56±2.05%, -3.9±0.96% for calorie restriction cohorts, respectively. The fat quantification correlation between FSE (with and without water suppression) sequences and Dixon for SAT and VAT were 0.9709, 0.9803 and 0.9955, 0.9840 respectively. The algorithm significantly reduced the computation time from 100 sec/slice to 25 sec/slice. The pre-processing, data-derived contour placement and avoidance of strong background-image boundary improved the convergence accuracy of the proposed algorithm. CONCLUSIONS:We developed a fully automatic segmentation algorithm to quantitate SAT and VAT from abdominal images of rodents, which can support large cohort studies. We additionally identified the influence of non-algorithmic variables including cradle disturbance, animal positioning, and MR sequence on the fat quantification. There were no large variations between FSE and Dixon-based estimation of SAT and VAT.

Project description:BackgroundBased on CDC estimates in the United States, the prevalence of obesity was 42.4% in 2017-2018, and the annual cost of obesity was $147 billion in 2008. Yet studies estimate that only 20-40% of adults with obesity received counseling from their primary care providers. Recent studies using shared medical appointments (SMA), where patients are seen by a multidisciplinary team, have shown promising results in obesity management. We developed an insurance-based weight loss program incorporating SMA, called the Program for Reducing Obesity (PRO), and report our findings here.MethodsEnrollment began in January 2019 at the UCLA Health Thousand Oaks clinic. Patients age ≥18 years with BMI ≥30 kg/m2 were eligible by referral to PRO, a program consisting of individual visits and SMAs with an obesity medicine board certified endocrinologist and registered dietitian. Primary outcomes were change in weight after 3, 6, and 12 months. Secondary outcomes included proportion that achieved ≥5% weight loss, change in percent body fat, HbA1c, HDL, triglycerides, and blood pressure.Results102 patients (mean age 59.7 years, 72% women, mean weight 103.6 kg, mean BMI 36.6 kg/m2) have been analyzed, with 91 patients completing at least 12 months of the program. Patients achieved significant weight loss: 3.0%, 5.0%, and 7.8% of their baseline weight after 3, 6, and 12 months respectively. 52% of patients lost ≥5% of their baseline weight after 12 months. Patients had significant reductions in body fat: 2.1%, 7.4%, and 6.7% of their baseline (all p ≤ 0.01) after 3, 6, and 12 months respectively. Improvements were also seen in HbA1c (p ≤ 0.01), triglycerides (p ≤ 0.04), and systolic blood pressure (p ≤ 0.07) after 12 months although not all results achieved statistical significance.ConclusionOur institutional review of PRO, an insurance-based obesity program utilizing SMA, demonstrates a successful approach to promoting weight loss in a community-based setting.

Dataset Information

Predicting program attendance and weight loss in obesity interventions: Do triggering events help?

Publications

Predicting program attendance and weight loss in obesity interventions: Do triggering events help?

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