Obesity Science & Practice最新文献

There is strong evidence demonstrating the impact of bariatric surgery on weight-loss and comorbidity improvement. In the UK, there is specific guidance to facilitate the assessment of a person's suitability for bariatric surgery. This paper highlights the clinical reality of routinely implementing this guidance, supported by literature and the perspectives of practicing psychologists. The consequences of the implementation of clinical guidelines within the context of the typical biopsychosocial profile of those referred for bariatric surgery are discussed. The ramifications of a screening approach rather than a clinical formulation-based approach to assessment, impact of a possible unconscious bias in commissioning and an overemphasis on a biomedical model approach to treatment are also presented. These contextual factors are argued to contribute to a population of "forgotten patients" that is, patients who have been assessed as not suitable for bariatric surgery, and thus "stuck" in their journey toward better health. For these individuals the only option left are energy balance only approaches, which are the very same approaches to weight-loss and comorbidity improvement that have been attempted, often for many years. Not only have these approaches not resulted in weight-loss and health improvement, they also fail to address the underlying psychological causes of obesity. Consequently, this lack of support means that patients continue to suffer from poor quality of life, with no clear pathway to improved health and wellbeing. This paper illuminates the clear gaps in weight management service provision, the implementation of guidelines in practice, and offers practical suggestions to reduce the unintended consequences of clinical guidelines for bariatric surgery.

Objective: Body volumes (BV) are used for calculating body composition to perform obesity assessments. Conventional BV estimation techniques, such as underwater weighing, can be difficult to apply. Advanced machine learning techniques enable multiple obesity-related body measurements to be obtained using a single-camera image; however, the accuracy of BV calculated using these techniques is unknown. This study aims to adapt and evaluate a machine learning technique, synthetic training for real accurate pose and shape (STRAPS), to estimate BV.

Methods: The machine learning technique, STRAPS, was applied to generate three-dimensional (3D) models from simulated two-dimensional (2D) images; these 3D models were then scaled with body stature and BV were estimated using regression models corrected for body mass. A commercial 3D scan dataset with a wide range of participants (n = 4318) was used to compare reference and estimated BV data.

Results: The developed methods estimated BV with small relative standard errors of estimation (<7%) although performance varied when applied to different groups. The BV estimated for people with body mass index (BMI) < 30 kg/m² (1.9% for males and 1.8% for females) were more accurate than for people with BMI ≥ 30 kg/m² (6.9% for males and 2.4% for females).

Conclusions: The developed method can be used for females and males with BMI < 30 kg/m² in BV estimation and could be used for obesity assessments at home or clinic settings.

Objective: To assess the efficacy of liraglutide 3.0 mg, a glucagon-like peptide-1 (GLP-1) receptor agonist, for binge eating disorder (BED).

Methods: Adults with a body mass index (BMI) ≥ 27 kg/m² enrolled in a pilot, 17-week double-blind, randomized controlled trial of liraglutide 3.0 mg/day for BED. The primary outcome was number of objective binge episodes (OBEs)/week. Binge remission, weight change, and psychosocial variables were secondary outcomes. Mixed effect models were used for continuous variables, and generalized estimating equations were used for remission rates.

Results: Participants (n = 27) were 44.2 ± 10.6 years; BMI = 37.9 ± 11.8 kg/m²; 63% women; and 59% White and 41% Black. At baseline, the liraglutide group (n = 13) reported 4.7 ± 0.7 OBEs/week, compared with 3.0 ± 0.7 OBEs/week for the placebo group, p = 0.07. At week 17, OBEs/week decreased by 4.0 ± 0.6 in liraglutide participants and by 2.5 ± 0.5 in placebo participants (p = 0.37, mean difference = 1.2, 95% confidence interval 1.3, 2.0). BED remission rates of 44% and 36%, respectively, did not differ. Percent weight loss was significantly greater in the liraglutide versus the placebo group (5.2 ± 1.0% vs. 0.9 ± 0.7%, p = 0.005).

Conclusion: Participants in both groups reported reductions in OBEs, with the liraglutide group showing clinically meaningful weight loss. A pharmacy medication dispensing error was a significant limitation of this study. Further research on liraglutide and other GLP-1 agonists for BED is warranted.

Objective: Obesity is associated with cardiovascular disease (CVD) and CVD mortality. However, previous reports showed a paradoxical protective effect in patients with known CVD referred as "obesity paradox". Therefore, the aim of the present study was to investigate the association of body mass index (BMI) with coronary artery calcification (CAC) in a large outpatient cardiac CT cohort.

Methods: 4.079 patients who underwent cardiac CT between December 2007-May 2014 were analyzed. BMI and clinical risk factors (current smoking, diabetes mellitus type 2, family history, systolic blood pressure, lipid spectrum) were assessed. Missing values were imputed using multiple imputation. CAC extent was categorized as absent (0), mild (>0-100), moderate (>100-400) and severe (>400).

Results: Multivariable multinomial logistic regression analysis, including all risk factors as independent variables, showed no association between BMI and CAC. Using absence of calcification as reference category, the odds ratios per unit increase in BMI were 1.01 for mild; 1.02 for moderate; and 1.00 for severe CAC (p-values ≥0.103).

Conclusions: No statistically significant association was observed between BMI and CAC after adjustment for other risk factors.

Background: There are well-recognized benefits of behavioral interventions that include exercise for children and adolescents with obesity. However, such behavioral weight management programs may precipitate unintended consequences. It is unclear if different exercise modalities impact eating behaviors differently in youth with obesity.

Objectives: The purpose of this study was to examine the effects of aerobic, resistance, and combined aerobic and resistance exercise training on eating attitudes and behaviors (uncontrolled eating, restrained eating, emotional eating, external eating and food craving) among adolescents with overweight and obesity.

Methods: N = 304 (70% female) adolescents with overweight and obesity participated in the 6-month Healthy Eating Aerobic and Resistance Training in Youth (HEARTY) randomized controlled trial. All participants were inactive post-pubertal adolescents (15.6 ± 1.4 years) with a mean BMI = 34.6 ± 4.5 kg/m². The Food Craving Inventory (food cravings), Dutch Eating Behavior Questionnaire (restrained eating, emotional eating, external eating), and the Three-Factor Eating Questionnaire (uncontrolled eating) were used to assess eating attitudes and behaviors.

Results: All exercise groups showed within-group decreases in external eating and food cravings. Participants randomized to the Combined training group and were more adherent showed the greatest improvements in eating behaviors and cravings.

Conclusions: A 6-month exercise intervention produced improvements in disordered eating behaviors and food cravings, but effects may be gender and modality-specific. Findings highlight the need to tailor exercise intervention to participant characteristics for the promotion of healthier eating and weight management outcomes in youth with obesity.

Clinical Trial Registration # and Date: ClinicalTrials.Gov NCT00195858, September 12, 2005.

Background: Obesity poses significant challenges to healthcare globally, particularly through its bi-directional relationship with co-morbid metabolic conditions such as type 2 diabetes and hypertension. There is also emerging evidence of an association between obesity and chronic kidney disease (CKD) which is less well characterized.

Methods: A literature search of electronic libraries was conducted to identify and present a narrative review of the interplay between obesity and CKD.

Findings: Obesity may predispose to CKD directly as it is linked to the histopathological finding of obesity-related glomerulopathy and indirectly through its widely recognized complications such as atherosclerosis, hypertension, and type 2 diabetes. The biochemical and endocrine products of adipose tissue contribute to pathophysiological processes such as inflammation, oxidative stress, endothelial dysfunction, and proteinuria. The prevention and management of obesity may prove critical in counteracting both the development and advancement of CKD. Moreover, measures of abdominal adiposity such as waist circumference, are generally associated with worse morbidity and mortality in individuals receiving maintenance hemodialysis.

Conclusion: Obesity is a risk factor for the onset and progression of CKD and should be recognized as a potential target for a preventative public health approach to reduce CKD rates within the general population. Future research should focus on the use of glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter 2 inhibitors in patients with CKD and obesity due to their multi-faceted actions on major outcomes.

Background: The burden of obesity and chronic disease is increasing in the older US Hispanic/Latino adult population. There is limited evidence on successful weight management strategies as perceived by this population. Assessing barriers and opportunities for weight management using mixed methods is a robust approach to collect in-depth information that can be applied to the development of well-tailored weight management interventions for this population.

Objective: The objective of this study was to assess perceived individual, interpersonal, and environmental factors that influence weight management in older Hispanic/Latino adults.

Methods: This community-based cross-sectional study included 23 Hispanic/Latino older (>50y) adults with obesity (BMI >30 kg/m²). Perceived barriers and opportunities for weight management were assessed through validated questionnaires and focus groups. Prospectively registered on ClinicalTrials.gov (NCT03978416) on 7 June 2019.

Results: In this demographically heterogeneous population, language acculturation was generally low, and the frequency of poor dietary behaviors was high. Participants linked financial strain to lower diet quality, as well as anxiety to uncontrolled eating and food cravings. Social support and trust in healthcare professionals were perceived as priorities for healthy eating. Structural and environmental barriers such as affordability and availability of culturally preferred foods were also identified as influences on food choices and eating behavior.

Conclusions: This study revealed opportunities for culturally tailored weight management interventions in older Hispanic/Latino adults with obesity.

Clinical trial registry number: NCT03978416 (ClinicalTrials.gov).

Objective: Modifiable risk factors such as diabetes, hyperlipidemia, hypertension, obstructive sleep apnea (OSA), chronic kidney disease (CKD), chronic steroid use and smoking, have been shown in observational studies to negatively affect surgical outcomes. The purpose of this study is to identify and determine the effect of modifiable risk factors on post-operative bariatric surgery leak, as pre-operative risk modification has been shown to reduce the impact on complications.

Methods: Electronic literature searches of MEDLINE, PUBMED, OVID and Cochrane Library databases were performed, including a manual reference check, over the period of 2010 and 2020. 620 articles were screened according to the PRISMA protocol.

Results: Twenty articles were included in the meta-analysis of risk factors. Significant risk factors and the associated effect sizes include: 1. Smoking with an overall OR of 1.31 [1.06, 1.61] and an OR of 1.72 [1.44, 2.05] in Sleeve gastrectomy (SG) patient cohorts; 2. Diabetes with an overall OR of 1.23 [1.08, 1.39] and an OR of 1.33 [1.02, 1.73] in Roux-en-Y patient cohorts; 3. Chronic kidney disease with an overall OR of 2.41 [1.62, 3.59] and 4. Steroid use with an overall OR of 1.57 [1.22, 2.02]. Non-significant risk factors include hypertension with an OR of 0.85, 1.83, OSA with an OR of 1.08 [0.83, 1.39] and hyperlipidemia with an OR of 0.80 [0.61, 1.04]. Combined SG and Roux-en-Y patient cohorts with hyperlipidemia have shown a protective effect of 0.78 [0.65, 0.94].

Conclusions: Significant risk factors for leak post bariatric surgery are smoking in all patients and particularly SG patients, diabetes for all patients and particularly Roux-en-Y patients, and CKD and chronic steroid for all patients. Hyperlipidemia in two combined patient cohorts (SG and Roux-en-Y) appears to have a weak protective effect.

Objective: The dissemination of effective obesity interventions requires the documentation of key elements of the intervention. But outcome papers and other published manuscripts often lack detail that allow the replication of the intervention. The Behavior Change Technique (BCT) Taxonomy (BCTTv1) is a widely used approach to identify key elements of an intervention study. This study compares the extent to which BCTs and domains identified in studies' intervention protocol are concordant with detail from corresponding intervention design and study outcome papers.

Methods: Data come from four obesity interventions with complete intervention protocols as well as published intervention design and outcome papers. The number of domains and BCTs was calculated for each treatment arm and stratified by coding source. Emphasis of domains and BCTs was determined using an Analytical Hierarchy Process (AHP).

Results: A review of each study's intervention protocol showed the mean number of domains and BCTs used in treatment arms as 11.8 and 26.7, respectively. Primary outcome papers had a mean loss of 34% of the reported domains and 43% of BCTS as compared with intervention protocl. Design papers showed a loss of 11% and 21% of domains and BCTs, respectively.

Conclusions: The results confirm the limitations of using the BCTTv1 coding of outcome papers to describe obesity-related interventions. The results also highlight the need for mechanisms that allow for a full description of intervention content such as inclusion in a supplemental section of an online journal or the use of intervention-focused consort guidelines.

Mechanisms underlying the negative effects of obesity on the brain are still unknown. Obesity is associated with oxidative stress in the brain and neuroinflammation that promotes neurodegenerative diseases. Chronic low-grade neuroinflammation in obesity could be associated with lower volumes of gray matter and lower neuronal density. If neuroinflammation mediated by the expression of cytokines and chemokines leads to apoptosis, this can be assessed by examining caspase expression. The aim of this study was to compare the expression of caspases in the 16 brains of donors with obesity/overweight (n = 8; Body Mass Index [BMI] = 31.6 ± 4.35 kg/m²; 2 females; Age = 52.9 ± 4.76 years) and normal weight (n = 8; BMI = 21.8 ± 1.5 kg/m²; 3 females; Age = 37.8 ± 19.2 years). Sixteen human brain samples were processed. Serial paraffin sections were examined by anti-caspase immunochemistry (caspase-3, caspase-4, caspase-6, caspase-1, caspase-8, and caspase-9 antibodies). Postmortem samples of cerebral cortex tissue were captured as photomicrographs and the images obtained were analyzed using ImageJ software to obtain the percentage of positive caspase expression. Nonparametric Mann-Whitney U tests were performed to compare caspase expression between samples from donors with obesity/overweight and normal weight. Taking into consideration the immunohistochemistry results, the Search Tool for the Retrieval of Interacting Genes was used to model molecular interactions. Results showed that brain samples from individuals with obesity/overweight exhibited significantly greater values of positive expression for Caspase-1 (U = 16.5, p = 0.05, Cohen d = 0.89) and -8 (U = 15, p = 0.03, Cohen d = 0.99) than those from donors with normal weight. This study contributes to the knowledge about the inflammatory effects of obesity/overweight on brain, suggesting the activation of the alternative inflammasome pathway in which interact caspase-1 and -8.