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This study aimed to determine the medical cost impact and return on investment (ROI) of a large, commercial, digital, weight-management intensive lifestyle intervention (ILI) program (Real Appeal).
Participants in this program were compared with a control group matched by age, sex, geographic region, health risk, baseline medical costs, and chronic conditions. Medical costs were defined as the total amount paid for all medical expenses, inclusive of both the insurers' and the study participants' responsibility.
In the 3 years following program registration, the intent-to-treat (ITT) cohort had significantly lower medical expenditures than the matched controls, with an average of -$771 or 12% lower costs (P = 0.002). Among 4,790 ITT participants, a total savings of $3,693,090 compared with total program costs of $1,639,961 translated into a 2.31 ROI. Program completers (n = 3,990), who attended more sessions than the overall ITT group, had greater mean weight loss (-4.4%), greater cost savings (-$956 or 14%), and an ROI of 2.01 over the 3-year time frame compared with matched controls.
The findings demonstrated that the digital weight-management ILI was associated with a significantly positive ROI. Employers and payers willing to cover the cost of an ILI that produces both weight loss and demonstrated cost benefits can improve health and save money for their population with overweight or obesity.
The findings demonstrated that the digital weight-management ILI was associated with a significantly positive ROI. Employers and payers willing to cover the cost of an ILI that produces both weight loss and demonstrated cost benefits can improve health and save money for their population with overweight or obesity.
Existing screening tools are inadequate in differentiating binge eating from normative overeating in treatment-seeking individuals with overweight or obesity, as these individuals tend to overendorse loss-of-control (LOC; the hallmark characteristic of binge eating) on self-report measures. In order for treatment centers to efficiently and accurately identify individuals who would benefit from specialized treatment, it is critical to develop effective brief screening tools. This study examined the sensitivity and specificity of a self-report screener designed to be used by an outpatient treatment center on a large scale.
Participants were treatment-seeking individuals (N = 364) with overweight or obesity who were administered the screener and who completed a subsequent interview assessing for LOC and binge eating.
Discriminant analyses revealed that the screener achieved 77.6% sensitivity and 77.0% specificity in predicting clinician-assessed LOC and 75.2% sensitivity and 74.1% specificity in predicting "full-threshold" binge eating (i.e., ≥12 objectively large binge-eating episodes within the past 3 months). Post hoc analyses indicated that male participants were more likely to be misclassified with the screener.
The self-report screener demonstrated satisfactory predictive ability, which is notable given the challenges of discriminating between LOC and normative overeating. However, room for improvement remains. In particular, the inclusion of additional screener items that more fully capture the binge-eating experience in males is warranted.
The self-report screener demonstrated satisfactory predictive ability, which is notable given the challenges of discriminating between LOC and normative overeating. However, room for improvement remains. In particular, the inclusion of additional screener items that more fully capture the binge-eating experience in males is warranted.
The aim of this study was to assess associations between loss of control (LOC) eating and health outcomes among adolescents undergoing metabolic and bariatric surgery.
A total of 234 adolescents were studied before and up to 6 years after surgery in a prospective, observational cohort design. Adolescents provided self-reports of LOC eating, pain severity, sleep quality, polycystic ovary syndrome, gastroesophageal reflux disease, and medication usage and objective measures of fasting glucose, serum insulin, glycohemoglobin A
, cholesterol, triglycerides, and blood pressure. χ
tests, Wilcoxon rank sums, and generalized linear mixed models were used to assess concurrent and prospective associations between LOC eating and health indicators.
LOC eating presented in 32.5% of adolescents before surgery and was positively associated with sleep disturbances and psychiatric medication usage. INCB059872 After surgery, LOC eating presented in 7.9% to 14.6% of participants and was correlated with improved low- and high-density lipoprotein cholesterol levels and greater back pain. LOC eating was inversely associated with low-density lipoprotein cholesterol at the next consecutive time point.
LOC eating was unexpectedly associated with improved low- and high-density lipoprotein cholesterol in adolescents undergoing metabolic and bariatric surgery. Deleterious effects of LOC eating on obesity-related health conditions, aside from back pain, were not detected. Metabolic and other weight-independent health benefits of surgery may persist postoperatively despite LOC eating and associated weight regain.
LOC eating was unexpectedly associated with improved low- and high-density lipoprotein cholesterol in adolescents undergoing metabolic and bariatric surgery. Deleterious effects of LOC eating on obesity-related health conditions, aside from back pain, were not detected. Metabolic and other weight-independent health benefits of surgery may persist postoperatively despite LOC eating and associated weight regain.
The purpose of this study was to characterize resting-state cortical networks in chronic stroke survivors using electroencephalography (EEG).
Electroencephalography data were collected from 14 chronic stroke and 11 neurologically intact participants while they were in a relaxed, resting state. EEG power was normalized to reduce bias and used as an indicator of network activity. Correlations of orthogonalized EEG activity were used as a measure of functional connectivity between cortical regions.
We found reduced cortical activity and connectivity in the alpha (p<.05; p=.05) and beta (p<.05; p=.03) bands after stroke while connectivity in the gamma (p=.031) band increased. Asymmetries, driven by a reduction in the lesioned hemisphere, were also noted in cortical activity (p=.001) after stroke.
These findings suggest that stroke lesions cause a network alteration to more local (higher frequency), asymmetric networks. Understanding changes in cortical networks after stroke could be combined with controllability models to identify (and target) alternate brain network states that reduce functional impairment.
Read More: https://www.selleckchem.com/products/incb059872-dihydrochloride.html
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