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Components of Disadvantaged Respiratory Development and Ciliation within Mannosidase-1-Alpha-2 (Man1a2) Mutants.
Introduction Obesity is linked to altered activation in reward and control brain circuitry; however, the associated brain activity related to successful or unsuccessful weight loss (WL) is unclear. Methods Adults with obesity (N = 75) completed a baseline functional magnetic resonance imaging (fMRI) scan before entering a WL intervention (ie,3-month diet and physical activity [PA] program). We conducted an exploratory analysis to identify the contributions of baseline brain activation, adherence behavior patterns, and the associated connections to WL at the conclusion of a 3-month WL intervention. Food cue-reactivity brain regions were functionally identified using fMRI to index brain activation to food vs nonfood cues. Food consumption, PA, and class attendance were collected weekly during the 3-month intervention. Results The left middle frontal gyrus (L-MFG, BA 46) and right middle frontal gyrus (R-MFG; BA 9) were positively activated when viewing food compared with nonfood images. Structural equation modeling with bootstrapping was used to investigate a hypothesized path model and revealed the following significant paths (1) attendance to 3-month WL, (2) R-MFG to attendance, and (3) indirect effects of R-MFG through attendance on WL. Conclusion Findings suggest that brain activation to appetitive food cues predicts future WL through mediating session attendance, diet, and PA. This study contributes to the growing evidence of the importance of food cue reactivity and self-regulation brain regions and their impact on WL outcomes.Objective The purpose of this study was to model weight trajectories over a 5-year time period (2012-2016) and their association with behavioural and psychosocial characteristics and health care-related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort. Methods Weight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391). Results Seven distinct weight trajectory clusters were identified (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P less then .001). Over two thirds of patients maintained their weight over the 5-year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters. Conclusion Findings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience.Introduction Little is known about the influence of children in the home on physical activity and weight among adults in weight loss interventions. This study evaluated the association between number of children in the home, weight loss, and weight regain in a behavioural weight loss intervention, and whether those relationships were mediated in sequence by physical activity barriers and physical activity changes. Methods The sample included 267 participants from a randomized trial who had complete data on study variables. Variables at baseline, 6, and 18 months included physical activity barriers, objectively measured minutes of moderate-to-vigorous physical activity (MVPA), and objectively measured weight used to calculate percent weight loss (PWL) from baseline to 6 months and percent weight regained (PWG) from 6 to 18 months. Results A greater number of children in the home was associated with less PWL at 6 months. This relationship was mediated by greater baseline physical activity barriers and a smaller increase in MVPA at 6 months. The mediated effect was no longer significant when controlling for changes in dietary intake. There was no relationship between number of children and PWG from 6 to 18 months. Conclusions Parents may need unique intervention supports to overcome barriers to initiation of physical activity to help them reach optimal weight loss.Setting Bariatric surgery is indicated for patients diagnosed with obesity and type 2 diabetes. Many patients achieve type 2 diabetes remission soon after bariatric surgery. Even though most maintain good glycemic control, remission is not maintained in all patients, and as a result, some patients may relapse. Type 2 diabetes relapse is common in patients who regain weight; weight regain is prevalent 1 to 2 years after surgery. Additional pharmacotherapy may be required to aid bariatric surgery in fostering weight loss and reducing blood glucose levels. Objectives The purpose of this clinical trial was to determine the effects of canagliflozin in participants who initially achieved type 2 diabetes remission but subsequently relapsed. Methods The double-blinded, randomized, and prospective study recruited participants (n = 16) roughly 3 years after bariatric surgery. The participants were followed for 6 months. Results Body mass index (-1.24 kg/m2) and body weight (-3.7 kg) were significantly reduced with canagliflozin therapy versus placebo. EPZ020411 datasheet There were improvements in body fat composition as denoted by reductions in android (-3.00%) and truncal (-2.67%) fat. Also, there were differences in blood glucose and hemoglobin A1C at 6 months. Conclusion After bariatric surgery, canagliflozin improved weight loss and glycemic outcomes in participants with type 2 diabetes. Canagliflozin also facilitated improvements in body fat composition.
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