ADIPOSITY-BASED CHRONIC DISEASE AS A NEW DIAGNOSTIC TERM: THE AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY POSITION STATEMENT

Assessment of clinician agreement with and knowledge of evidence-based obesity treatment in the primary care setting

Introduction

Effective, evidence-based obesity treatment is needed, which often involves use of anti-obesity medications (AOMs). Data on the breadth and quality of guideline-directed obesity treatment implementation in primary care remain limited. This study aimed to assess primary care clinicians' agreement with and knowledge of guideline-directed obesity treatment, as well as to assess the health status of persons with obesity and their use of AOMs.

Methods

This multimethod study included a prospective survey of primary care clinicians, utilizing a questionnaire that measured agreement on a 5-point Likert scale and knowledge via multiple choice questions. A retrospective analysis was also performed of patient data collected between 30 June 2016 and 30 June 2020 from primary care clinics in the Midwest.

Results

Data were analyzed from 27 clinician survey responders, finding agreement toward all measured areas, however less strong for chronic AOM use and resource allocation. The survey identified multiple gaps in knowledge. Researchers assessed 5656 baseline encounters and 2941 corresponding follow-up encounters. Analysis revealed ≥50% of the total patients experienced persistently uncontrolled obesity (mean body mass index of ≥40 kg/m2) and weight-related complications. Low rates (≤10%) of AOM use in clinically eligible patients were shown, with phentermine monotherapy being the most commonly used.

Conclusions

Clinicians agree with guideline-directed obesity treatment. Persons with obesity who are poorly controlled identify an opportunity for patient care improvement.

Strategies for minimizing muscle loss during use of incretin-mimetic drugs for treatment of obesity

The rapid and widespread clinical adoption of highly effective incretin-mimetic drugs (IMDs), particularly semaglutide and tirzepatide, for the treatment of obesity has outpaced the updating of clinical practice guidelines. Consequently, many patients may be at risk for adverse effects and uncertain long-term outcomes related to the use of these drugs. Of emerging concern is the loss of skeletal muscle mass and function that can accompany rapid substantial weight reduction; such losses can lead to reduced functional and metabolic health, weight cycling, compromised quality of life, and other adverse outcomes. Available evidence suggests that clinical trial participants receiving IMDs for the treatment of obesity lost 10% or more of their muscle mass during the 68- to 72-week interventions, approximately equivalent to 20 years of age-related muscle loss. The ability to maintain muscle mass during caloric restriction-induced weight reduction is influenced by two key factors: nutrition and physical exercise. Nutrition therapy should ensure adequate intake and absorption of high-quality protein and micronutrients, which may require the use of oral nutritional supplements. Additionally, concurrent physical activity, especially resistance training, has been shown to effectively minimize loss of muscle mass and function during weight reduction therapy. All patients receiving IMDs for obesity should participate in comprehensive treatment programs emphasizing adequate protein and micronutrient intakes, as well as resistance training, to preserve muscle mass and function, maximize the benefit of IMD therapy, and minimize potential risks.

Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward?

PURPOSE OF REVIEW

This review aims to discuss strengths and limitations of body mass index (BMI) in diagnosing obesity, the use of alternative anthropometric measurements, and potential new technology that may change the future of obesity diagnosis and management.

RECENT FINDINGS

The diagnosis of obesity requires the anthropometric assessment of adiposity. In clinical settings, this should include BMI with confirmation that elevated BMI represents excess adiposity and a measure of fat distribution (i.e., waist circumference (WC), waist to height ratio (WHtR), or WC divided by height0.5 (WHR.5R). Digital anthropometry and bioelectric impedance (BIA) can estimate fat distribution and be feasibly employed in the clinic. In addition, the diagnosis should include a clinical component assessing the presence and severity of weight-related complications. As anthropometric measures used in the diagnosis of obesity, BMI is generally sufficient if confirmed to represent excess adiposity, and there are advantages to the use of WHtR over WC to assess fat distribution. BIA and digital anthropometry have the potential to provide accurate measures of fat mass and distribution in clinical settings. There should also be a clinical evaluation for the presence and severity of obesity complications that can be used to stage the disease.

Phenotyping of Obesity Treatment Candidates: A Narrative Review

PURPOSE OF REVIEW

This review explores characterizing candidates for obesity treatments including pharmacotherapy, endoscopic bariatric therapies, and metabolic bariatric surgery (MBS), focusing on established clinical parameters for diagnosing obesity beyond body mass index alone.

RECENT FINDINGS

Existing literature primarily provides rates for fat mass percentage (i.e., a marker for adiposity quantity), waist circumference (i.e., a marker for adiposity distribution), and C-reactive protein levels (i.e., a marker for adiposity functionality) among obesity treatment candidates. Limited data on abnormal values and sex-based differentiation exist. The literature indicates high central-tendency measures for fat mass percentage and waist circumference, while C-reactive protein levels vary. Data on the Edmonton Obesity Staging System (i.e., a marker for adiposity-related disease severity) is predominantly available for MBS candidates. Future studies in obesity interventions should improve screening and diagnosis of obesity by incorporating sex-specific considerations and providing abnormal value rates for measurements to enhance understanding of patients' characteristics.

Moving Beyond Research to Public Health Practice: Spread And Scale of Interventions that Support Healthy Childhood Growth

Equitable access to affordable, effective, and safe obesity prevention and treatment remains a problem for many children and families in the U.S. In 2023, the American Academy of Pediatrics (AAP) published its first Clinical Practice Guideline (CPG) for pediatric obesity evaluation and treatment, aiding the field's awareness of effective approaches. CDC has supported the adapting and packaging of existing, effective Family Healthy Weight Programs that deliver CPG-recommended intensive behavioral treatment for kids. Currently, at least six family-centered programs are recognized by CDC and can be implemented in clinical and community settings to support child health. CDC and other national partners are coordinating the movement of these research-tested FHWPs into public health practice. This work includes implementing FHWPs in over 60 US communities and supporting national-level infrastructure improvements. CDC is committed to engaging with stakeholders to help scale proven strategies that ensure all children receive the care they need to thrive.

Reducing the Number of Times Eating Out Helps to Decrease Adiposity (Overweight/Obesity) in Children

Adiposity is a chronic disease that must be treated from childhood. Despite the transcendence of improving habits, few interventions report their contribution to decreasing adiposity.

METHODS

This cohort enrolled children and teens of any gender, 8-18 years old, and with a body mass index (BMI) z-score of ≥1 into "Sacbe", a comprehensive program to identify which eating habits could reduce BMI z-score. The sample size calculated was 110 participants. We recorded anthropometric measures, clinical history, and habits. A clinically relevant reduction in BMI z-score was defined as ≥0.5 over 12 months or its equivalent according to the months of follow-up.

RESULTS

58.2% were female, the median age was 12 years (range: 9.1-14.7), and the mean BMI z-score was 2.30 ± 0.83. The 82.7% achieved a reduced BMI z-score but 41.8% achieved a clinically relevant reduction with a median follow-up of 6.7 months. Eating out less than once per week was associated with this outcome, even after adjusting for energy intake, other eating patterns, sedentary screen time, physical activity, sleep duration, and sitting time (HR 2.12; 95% CI: 1.07-4.21).

CONCLUSIONS

Eating out < once/week implicates less processed food exposition and better quality of food; this habit could be the most effective to reduce childhood adiposity.

Metabolic biomarkers and cardiovascular risk stratification in hypertension

INTRODUCTION

Cardiovascular risk calculators (CRC) are not locally validated and calibrated. Surrogate biomarkers of insulin resistance had identified subjects at higher risk of type 2 diabetes and cardiovascular disease.

AIM

Establish the frequency of surrogate biomarkers of insulin resistance and their correlation with CRC in primary prevention non-diabetic hypertensive subjects.

METHODS

This is an observational registry with a prospective consecutive outpatient's sample. The TyG index (TyGi) was calculated as logarithm (Ln) of (fasting triglycerides [mg/dl]×fasting plasma glucose [mg/dl]/2). Patients were stratified according to quartiles of TyGi. Pearson correlation coefficient between TyGi and other relevant variables was evaluated.

RESULTS

Four hundred six patients were included with a mean age 55.9±13 years, 231 p (56.9%) males. The mean TyGi was 8.667±0.53. Patients in the highest quartiles of TyGi had significantly higher median difference between expected and actual ASCVD risk (p=0.02), higher frequency of AHA/ACC Pooled Cohort Equation >7.5% (p<0.005), and higher levels of metabolic biomarkers such as median triglyceridemia/HDL cholesterol ratio (TG/HDL) (p<0.0005), glycaemia and A1C (p<0.001 and p=0.02, respectively). The correlation between TyGi and TG/HDL was highly significant (r=0.7076; r2=0.5007; p<0.0001), and intermediate with non-HDL cholesterol (r=0.4553, r2=0.2073; p<0.0001).

CONCLUSIONS

Non-diabetic hypertensive patients with high TyGi, a surrogate biomarker of insulin resistance, had a higher 10-year cardiovascular risk by AHA/ACC Pooled Cohort Equation. TyGi is statistically and significantly correlated with other biomarkers of insulin resistance. TyGi could be a reliable biomarker in clinical practice to stratify cardiovascular risk.

Healthcare professionals perceptions of obesity management: An IMI2 SOPHIA qualitative study

Understanding healthcare professionals' perceptions and approaches to obesity management is limited, as are the barriers impeding effective care. A questionnaire was developed to explore the perception, and barriers to obesity management. To ensure content validity, an expert and stakeholder panel evaluated the relevance and comprehension of each item. Consequently, a cross-sectional survey was administered to endocrinologists (Endo), general practitioners (GP), and pharmacists (Pharm). A 46-item questionnaire was developed, validated, and completed by 502 healthcare professionals (Endo: n = 127; GP: n = 138; Pharm: n = 237). The majority agreed that obesity is a chronic disease (Endo = 96%; GP = 92.7%; Pharm = 87%). The conversation about obesity management is mostly initiated by the healthcare professional (Endo = 95.3%; GP = 73.9%; Pharm = 5.9%) instead of the patient (Endo = 55.1%; GP = 21.7%; Pharm = 11.8%). All professionals stated unanimously that there is a need to optimise obesity care in Belgium with identified barriers: motivational (Endo = 90.8%; GP = 90.8%; Pharm = 89.2%), financial (Endo = 96.9%; GP = 88.5%; Pharm = 76.3%), and a lack of structure (Endo = 81.5%; GP = 78.6%; Pharm = 81.5%). A total of 42.4% of the healthcare providers indicated that they did not follow any additional training. These findings highlight that healthcare professionals recognise obesity as a chronic disease, but that barriers need to be addressed to enhance effective care and support for people living with obesity.

Healthcare professionals' perceptions and management of obesity & knowledge of glucagon, GLP-1, GIP receptor agonists, and dual agonists

Background

Anti-obesity medications (AOMs) have historically had limited weight-loss efficacy. However, newer glucagon-like peptide-1 receptor agonist (GLP-1 RA)-based therapies seem to be more effective, including dual agonists of GLP-1R and the glucagon receptor (GCGR) or glucose-dependent insulinotropic polypeptide receptor.

Objective

To explore healthcare professionals' (HCPs) experience in obesity treatment and their understanding of agonists of GCGR, glucose-dependent insulinotropic polypeptide (GIP) RA, and GLP-1 RA.

Methods

This cross-sectional online survey of HCPs prescribing AOMs was conducted in the United States in 2023 with a questionnaire designed to evaluate prescribing behavior and understanding of GCGR, GIP RA, and GLP-1 RA.

Results

The 785 respondents (251 primary-care physicians [PCPs], 263 endocrinologists, and 271 advanced practice providers [APPs]) reported 55% of their patients had obesity (body mass index ≥30 kg/m2 or ≥27 with weight-related complications) and recommended AOMs to 49% overall, significantly more endocrinologists (57% of patients, p < 0.0005) than PCPs (43%) or APPs (46%). The greatest barriers to treatment were medication cost/lack of insurance (mean 4.2 on 1-5 scale [no barrier-extreme barrier]), low patient engagement/adherence (3.3), and inadequate time/staff (3.1). Metformin was the type 2 diabetes (T2D) medication most commonly prescribed to treat obesity in T2D patients (92.5% of respondents). Most HCPs (65%) were very/extremely familiar with GLP-1 RA, but only 30% with GIP RA and 16% with GCGR. Most HCPs expected dual GCGR/GLP-1 RA to benefit many obesity-related conditions; however, only a minority of HCPs perceived that they would benefit non-cardiometabolic complications of obesity.

Conclusions

Among HCPs prescribing AOMs, gaps exist in the management of people living with obesity as <50% are prescribed AOMs. Barriers to treatment indicate a need to improve access to AOMs. HCPs were less familiar with GCGR or GIP RA than GLP-1 RA but expect dual GCGR/GLP-1 RA may offer additional benefits, potentially addressing treatment barriers and access. Thus, there is a need for greater education among HCPs regarding the mechanism of action and therapeutic effects of GCGR agonists, and dual GCGR/GLP-1 RA, so that the full range of obesity-related complications can be effectively treated.

Are we ready for an adipocentric approach in people living with type 2 diabetes and chronic kidney disease?

We are entering a new era in the management of adiposity-based chronic disease (ABCD) with type 2 diabetes (T2D) and related chronic kidney disease (CKD). ABCD, T2D and CKD can affect almost every major organ system and have a particularly strong impact on the incidence of cardiovascular disease (CVD) and heart failure. ABCD and the associated insulin resistance are at the root of many cardiovascular, renal and metabolic (CKM) disorders, thus an integrated therapeutic framework using weight loss (WL) as a disease-modifying intervention could simplify the therapeutic approach at different stages across the lifespan. The breakthrough of highly effective WL drugs makes achieving a WL of >10% possible, which is required for a potential T2D disease remission as well as for prevention of microvascular disease, CKD, CVD events and overall mortality. The aim of this review is to discuss the link between adiposity and CKM conditions as well as placing weight management at the centre of the holistic CKM syndrome approach with a focus on CKD. We propose the clinical translation of the available evidence into a transformative Dysfunctional Adipose Tissue Approach (DATA) for people living with ABCD, T2D and CKD. This model is based on the interplay of four essential elements (i.e. adipocentric approach and target organ protection, dysfunctional adiposity, glucose homeostasis, and lifestyle intervention and de-prescription) together with a multidisciplinary person-centred care. DATA could facilitate decision-making for all clinicians involved in the management of these individuals, and if we do this in a multidisciplinary way, we are prepared to meet the adipocentric challenge.

Acquired hypothalamic obesity: A clinical overview and update

Hypothalamic obesity (HO) is a rare and complex disorder that confers substantial morbidity and excess mortality. HO is a unique subtype of obesity characterized by impairment in the key brain pathways that regulate energy intake and expenditure, autonomic nervous system function, and peripheral hormonal signalling. HO often occurs in the context of hypothalamic syndrome, a constellation of symptoms that follow from disruption of hypothalamic functions, for example, temperature regulation, sleep-wake circadian control, and energy balance. Genetic forms of HO, including the monogenic obesity syndromes, often impact central leptin-melanocortin pathways. Acquired forms of HO occur as a result of tumours impacting the hypothalamus, such as craniopharyngioma, surgery or radiation to treat those tumours, or other forms of hypothalamic damage, such as brain injury impacting the region. Risk for severe obesity following hypothalamic injury is increased with larger extent of hypothalamic damage or lesions that contain the medial and posterior hypothalamic nuclei that support melanocortin signalling pathways. Structural damage in these hypothalamic nuclei often leads to hyperphagia, central insulin and leptin resistance, decreased sympathetic activity, low energy expenditure, and increased energy storage in adipose tissue, the collective effect of which is rapid weight gain. Individuals with hyperphagia are perpetually hungry. They do not experience fullness at the end of a meal, nor do they feel satiated after meals, leading them to consume larger and more frequent meals. To date, most efforts to treat HO have been disappointing and met with limited, if any, long-term success. However, new treatments based on the distinct pathophysiology of disturbed energy homeostasis in acquired HO may hold promise for the future.

Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Over the past 4 decades, research has shown that having a normal body weight does not automatically imply preserved metabolic health and a considerable number of lean individuals harbour metabolic abnormalities typically associated with obesity. Conversely, excess adiposity does not always equate with an abnormal metabolic profile. In fact, evidence exists for the presence of a metabolically unhealthy normal weight (MUHNW) and a metabolically healthy obese (MHO) phenotype. It has become increasingly recognised that different fat depots exert different effects on the metabolic profile of each individual by virtue of their location, structure and function, giving rise to these different body composition phenotypes. Furthermore, other factors have been implicated in the aetiopathogenesis of the body composition phenotypes, including genetics, ethnicity, age and lifestyle/behavioural factors. Even though to date both MHO and MUHNW have been widely investigated and documented in the literature, studies report different outcomes on long-term cardiometabolic morbidity and mortality. Future large-scale, observational and population-based studies are required for better profiling of these phenotypes as well as to further elucidate the pathophysiological role of the adipocyte in the onset of metabolic disorders to allow for better risk stratification and a personalised treatment paradigm.

Impact of Obesity on Kidney Transplant Outcomes in Older Adults

BACKGROUND

The prevalence of obesity in older patients undergoing kidney transplantation is increasing. Older age and obesity are associated with higher risks of complications and mortality post-transplantation. The optimal management of this group of patients remains undefined.

METHODS

We retrospectively analyzed the United Network for Organ Sharing database of adults ≥70 years of age undergoing primary kidney transplant from January 1, 2014, to December 31, 2022. We examined patient and graft survival stratified by body mass index (BMI) in 3 categories, <30 kg/m2, 30 to 35 kg/m2, and >35 kg/m2. We also analyzed other risk factors that impacted survival.

RESULTS

A total of 14,786 patients ≥70 years underwent kidney transplantation. Of those, 9,731 patients had a BMI <30 kg/m2, 3,726 patients with a BMI of 30 to 35 kg/m2, and 1,036 patients with a BMI >35 kg/m2. During the study period, there was a significant increase in kidney transplants in patients ≥70 years old across all BMI groups. Overall, patient survival, death-censored graft survival, and all-cause graft survival were lower in obese patients compared with nonobese patients. Multivariable analysis showed worse patient survival and graft survival in patients with a BMI of 30 to 35 kg/m2, a BMI >35 kg/m2, a longer duration of dialysis, diabetes mellitus, and poor functional status.

CONCLUSION

Adults ≥70 years should be considered for kidney transplantation. Obesity with a BMI of 30 to 35 kg/m2 or >35 kg/m2, longer duration of dialysis, diabetes, and functional status are associated with worse outcomes. Optimization of these risk factors is essential when considering these patients for transplantation.

Integration of Endogenous Opioid System Research in the Interprofessional Diagnosis and Treatment of Obesity and Eating Disorders

This third and final chapter in our trilogy introduces the clinical distinctions and phenotypical similarities between obesity and eating disorders. Research elaborating on the shared neurobiological substrates for obesity and eating disorders is discussed. We present an interprofessional model of treatment for both disordered eating and for obesity. Additionally, this chapter establishes the translational importance of research connecting endogenous opioid activity with both obesity and eating disorders, with an emphasis on clinical interventions. We conclude with a discussion of future directions for research.

The effects of purslane consumption on blood pressure, body weight, body mass index, and waist circumference: a systematic review and meta-analysis of randomised controlled

The effects of purslane consumption on anthropometric measurements and blood pressure have been studied in numerous experiments. However, the research findings conflict with one another. In order to assess the impact of purslane on weight, body mass index (BMI), waist circumference (WC), systolic blood pressure (SBP), and diastolic blood pressure (DBP), this meta-analysis was carried out. Up until February 2023, PubMed, Web of Science, Scopus, Google Scholar, and the reference lists of the identified pertinent randomised controlled trials (RCTs) were all searched. The random-effects model was used to calculate the effect size and then to describe it as a weighted mean difference (WMD) and 95 % confidence interval (CI) (CRD42023427955). The systematic review was able to incorporate seven RCTs. Meta-analysis showed that purslane significantly decreased body weight (WMD): -0⋅73 kg, 95 % confidence interval (CI): -1⋅37, -0⋅09, P=0⋅025), BMI (WMD: -0⋅35 kg/m2, 95 % CI: -0⋅64, -0⋅07, P=0⋅016), and SBP (WMD: -3⋅64 mmHg, 95 % CI: -6⋅42, -0⋅87, P = 0⋅01), and for WC, there was no discernible effect (WMD: -0⋅86 cm; 95 % CI, -1⋅80 to 0⋅07; P = 0⋅06) and DBP (WMD: -0⋅36 mmHg; 95 % CI, -1⋅75 to 1⋅03; P = 0⋅61). Purslane consumption, especially in participants with a BMI of <30, might play a role in decreasing SBP, body weight, BMI, and WC. Purslane consumption significantly reduced body weight, BMI, and SBP; however, WC and DBP did not experience a reduction. More investigation is needed to verify the impact of purslane consumption on anthropometric parameters and blood pressure.

Helping providers address psychological aspects of obesity in routine care: Development of the obesity adjustment dialogue tool (OADT)

Background

This study developed and validated a dialogue tool (Obesity Adjustment Dialogue Tool) to efficiently assess QoL and drive to eat for use in routine clinical care.

Methods

A 13-question interview was created, assessing the impact of living with obesity on quality of life and drive to eat. In a counter-balanced order, PwO were interviewed and completed the Obesity Adjustment Survey (OAS), the Impact of Obesity on Quality of Life-Lite scale (IWQoL), the Three Factor Eating Questionnaire (TREQ), and the Control of Eating Questionnaire (COEQ). Questionnaire results were used to validate the interview using correlational and concordance measures.

Results

101 PwO consented and 98 completed all measures (mean BMI = 37.8; 30.7% Class III obesity). Correlations between the QoL dialogue tool and validated instruments (OAS, IWQOL) were moderate to high. Correlations between cravings questions and validated measures (TFEQ, COEQ) were high except for attempts to control eating. Correspondence based on categorizing both the dialogue tool and scales into high/low impact was high except for attempts to control eating (which was dropped from the final tool).

Conclusion

The Obesity Adjustment Dialogue Tool is a brief clinician-led structured interview which closely matches information derived from validated scales. This tool offers an efficient approach to incorporating QoL factors into obesity management.

Obesity: A Review of Pathophysiology and Classification

Obesity is a chronic, multifactorial, and morbid disease. In the United States, 69% of adults are overweight or have obesity, and the global prevalence of obesity is increasing. Obesity is influenced by genetic, neurologic, metabolic, enteric, and behavioral processes. It remains a key modifiable risk factor for many comorbid diseases, including cardiovascular disease, diabetes mellitus, and cancer. Whereas there are recent and significant advances in obesity therapy, including diets, lifestyle modifications, pharmacotherapies, endoscopic procedures, and bariatric surgeries, there is an immense need for a better understanding of the heterogeneity in the pathophysiologic process of obesity and outcomes. Here we review salient pathophysiologic mechanisms underlying the development and morbidity of obesity as well as pathophysiologically based classification systems that inform current obesity management and may inform improved and individualized management in the future.

Use and continuity of weight-modifying medications among adults with diabetes and overweight/obesity: US population study

OBJECTIVE

Trends in use and continuity of use of diabetes-specific and non-diabetes weight-reducing (WR), weight-inducing (WI), and weight-neutral (WN) medications were examined among US adults with diabetes and overweight/obesity.

METHODS

Serial cross-sectional data from Medical Expenditure Panel Surveys (2010-2019) for adults (≥18 years) with diabetes and BMI ≥27 kg/m2 (≥25 kg/m2 for Asians) were analyzed.

RESULTS

Among 7402 US adults with diabetes and overweight/obesity (mean age 60.0 years [SD 13], 50% female), 64.9% of participants used any WI medications, decreasing from 68.9% (95% CI: 64.3%-73.5%) in 2010 to 58.6% (95% CI: 54.7%-62.5%) in 2019. It was estimated that 13.5% used WR medications, increasing 3.31-fold, from 6.4% (95% CI: 4.1%-8.7%) to 21.2% (95% CI: 18.0%-24.4%) and that 73.1% used WN medications, ranging from 70.5% (95% CI: 66.5-74.6) to 75.0% (95% CI: 71.7%-78.4%). Among adults using diabetes-specific WI (53.7%), WR (7.1%), and WN (62.4%) medications during the first year, 7.3%, 16.4%, and 9.0% discontinued it in the second year, respectively.

CONCLUSIONS

Over 2010-2019, 64.9% of adults with diabetes and overweight/obesity were treated with WI medications, 13.5% with WR medications, and 73.1% with WN medications. Discontinuation of WR medications was nearly twice that of WI medications.

Comparative effects of nutraceuticals on body weight in adults with overweight or obesity: A systematic review and network meta-analysis of 111 randomized clinical trials

There is no research on the comparative effects of nutraceuticals on weight loss in adults with overweight or obesity. This study aimed at quantifying and ranking the effects of different nutraceuticals on weight loss. We searched PubMed, Scopus, and Web of Science to November 2022. We included randomized trials evaluating the comparative effects of two or more nutraceuticals, or compared a nutraceutical against a placebo for weight loss in adults with overweight or obesity. We conducted random-effects network meta-analysis with a Frequentist framework to estimate mean difference [MD] and 95% confidence interval [CI] of the effect of nutraceuticals on weight loss. One hundred and eleven RCTs with 6171 participants that investigated the effects of 18 nutraceuticals on body weight were eligible. In the main analysis incorporating all trials, there was high certainty of evidence for supplementation of spirulina (MD: -1.77 kg, 95% CI: -2.77, -0.78) and moderate certainty of evidence that supplementation of curcumin (MD: -0.82 kg, 95% CI: -1.33, -0.30), psyllium (MD: -3.70 kg, 95% CI: -5.18, -2.22), chitosan (MD: -1.70 kg, 95% CI: -2.62, -0.78), and Nigella sativa (MD: -2.09 kg, 95%CI: -2.92, -1.26) could result in a small improvement in body weight. Supplementations with green tea (MD: -1.25 kg, 95%CI: -1.68, -0.82) and glucomannan (MD: -1.36 kg, 95%CI: -2.17, -0.54) demonstrated small weight loss, also the certainty of evidence was rated low. Based on our findings, supplementations with nutraceuticals can result in a small weight loss in adults with overweight or obesity.

Telehealth and cardiometabolic-based chronic disease: optimizing preventive care in forcibly displaced migrant populations

The number of migrants, which includes forcibly displaced refugees, asylum seekers, and undocumented persons, is increasing worldwide. The global migrant population is heterogeneous in terms of medical conditions and vulnerability resulting from non-optimal metabolic risk factors in the country of origin (e.g., abnormal adiposity, dysglycemia, hypertension, and dyslipidemia), adverse travel conditions and the resulting stress, poverty, and anxiety, and varying effects of acculturation and access to healthcare services in the country of destination. Therefore, many of these migrants develop a high risk for cardiovascular disease and face the significant challenge of overcoming economic and health system barriers to accessing quality healthcare. In the host countries, healthcare professionals experience difficulties providing care to migrants, including cultural and language barriers, and limited institutional capacities, especially for those with non-legal status. Telehealth is an effective strategy to mitigate cardiometabolic risk factors primarily by promoting healthy lifestyle changes and pharmacotherapeutic adjustments. In this descriptive review, the role of telehealth in preventing the development and progression of cardiometabolic disease is explored with a specific focus on type 2 diabetes and hypertension in forcibly displaced migrants. Until now, there are few studies showing that culturally adapted telehealth services can decrease the burden of T2D and HTN. Despite study limitations, telehealth outcomes are comparable to those of traditional health care with the advantages of having better accessibility for difficult-to-reach populations such as forcibly displaced migrants and reducing healthcare associated costs. More prospective studies implementing telemedicine strategies to treat cardiometabolic disease burden in migrant populations are needed.

The hypertension-based chronic disease model in a primary care setting

Background

Driver-based chronic disease models address the public health challenge of cardiometabolic risk. However, there is no data available about the novel Hypertension-Based Chronic Disease (HBCD) model. This study investigates the prevalence, characteristics, and prognostic significance of HBCD Stages in a primary care cohort.

Methods

This study included participants aged ≥45 years, randomly selected from the primary care program of a Brazilian medium-sized city. Participants underwent electrocardiogram, tissue Doppler echocardiogram and were followed for a median of 6 years. Participants were classified into HBCD Stages as follows: Stage 1: hypertension risk factors; Stage 2: pre-hypertension; Stage 3: hypertension; and Stage 4: hypertension complications.

Results

Overall, 633 participants were included in the cross-sectional analysis and 560 that had follow-up data were included in the prognostic analysis. From 633 participants, 1.3% had no identifiable risk factors for HBCD, 10.0% were Stage 1, 14.7% Stage 2, 51.5% Stage 3, and 22.5% Stage 4. Increasing HBCD stages had worse glomerular filtration rates, echocardiographic markers, and higher body mass index, waist circumference, blood glucose levels, and prevalence of type 2 diabetes. Rates of all-cause mortality or cardiovascular hospitalization increased across HBCD Stages: Stage 1: 3.6%; Stage 2: 4.8%, Stage 3: 7.6%; and Stage 4: 39.5%. Kaplan-Meier curves showed composite outcome worsened across HBCD Stages 1-4 (p < 0.001).

Conclusions

HBCD is a conceptually and prognostically valid model. Remarkably, HBCD stages were associated with progressively worsening markers of heart disease, declining kidney function and higher rates of all-cause mortality or cardiovascular hospitalization.

Novel Treatments for Obesity: Implications for Cancer Prevention and Treatment

It is now established that obesity is related to a higher incidence of cancer during a lifespan. The effective treatment of obesity opens up new perspectives in the treatment of a relevant modifiable cancer risk factor. The present narrative review summarizes the correlations between weight loss in obesity and cancer. The current knowledge between obesity treatment and cancer was explored, highlighting the greatest potential for its use in the treatment of cancer in the clinical setting. Evidence for the effects of obesity therapy on proliferation, apoptosis, and response to chemotherapy is summarized. While more studies, including large, long-term clinical trials, are needed to adequately evaluate the relationship and durability between anti-obesity treatment and cancer, collaboration between oncologists and obesity treatment experts is increasingly important.

Development and external validation of a diagnostic model for cardiometabolic-based chronic disease : results from the China health and retirement longitudinal study (CHARLS)

BACKGROUND

Cardiovascular disease(CVD) is the leading cause of death in the world. Cardiometabolic-based chronic disease (CMBCD) model is presented that provides a basis for sustainable and early, evidence-based therapeutic targeting to mitigate the ravagest and development of CVD. CMBCD include dysglycemia, hypertension, and/or dyslipidemia progressing to downstream CVD events.

OBJECTIVES

The objective of our research was to develop and externally validate a diagnostic model of CMBCD.

METHODS

Design: Multivariable logistic regression of a cohort for 9,463 participants aged at least 45 years were drawn from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS).

SETTING

The 2018 wave of the CHARLS.

PARTICIPANTS

Diagnostic model development: Totally 6,218 participants whose individual ID < 250,000,000,000. External validation: Totally 3,245 participants whose individual ID > 250,000,000,000.

OUTCOMES

CMBCD .

RESULTS

CMBCD occurred in 25.5%(1,584/6,218)of individuals in the development data set and 26.2%(850 /3,245)of individuals in the validation data set. The strongest predictors of CMBCD were age, general health status, location of residential address, smoking, housework ability, pain, and exercise tolerance. We developed a diagnostic model of CMBCD. Discrimination was the ability of the diagnostic model to differentiate between people who with and without CMBCD. This measure was quantified by calculating the area under the receiver operating characteristic(ROC) curve(AUC).The AUC was 0.6199 ± 0.0083, 95% confidence interval(CI) = 0.60372 ~ 0.63612. We constructed a nomograms using the development database based on age, general health status, location of residential address, smoking, housework ability, pain, and exercise tolerance. The AUC was 0.6033 ± 0.0116, 95% CI = 0.58066 ~ 0.62603 in the validation data set.

CONCLUSIONS

We developed and externally validated a diagnostic model of CMBCD. Discrimination, calibration, and decision curve analysis were satisfactory.

Micronutrients in Pregnancy after Bariatric Surgery: A Narrative Review

Bariatric surgery is increasingly used in women of childbearing age due to the rising prevalence of obesity and the effectiveness and availability of this treatment. Pregnancy in women with previous bariatric surgery deserves special attention. Weight loss induced by surgery reduces the risks that obesity poses to pregnancy. But on the other hand, decreased intake and malabsorption may increase the risk of malnutrition and micronutrient deficiency and negatively affect maternal and foetal health. The aim of this narrative review is to provide an updated analysis of the impact of different bariatric surgery techniques on mineral and micronutrient nutritional status during pregnancy and the possible effect on maternal-foetal health.

"Anti-obesity medications" or "medications to treat obesity" instead of "weight loss drugs" - why language matters - an official statement of the Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO) and the Brazilian Society of Endocrinology and Metabolism (SBEM)

Obesity is largely undertreated, in part because of the stigma surrounding the disease and its treatment. The use of the term "weight loss drugs" to refer to medications for the treatment of obesity may contribute to this stigma, leading to the idea that anyone who wants to lose weight could use them and that short-term use, only in the active weight loss phase would be enough. On the contrary, the use of terms such as "medications to treat obesity" or "anti-obesity medications" conveys the idea that the treatment is directed at the disease rather than the symptom. This joint statement by the Brazilian Association for the Study of Obesity and Metabolic Syndrome (ABESO) and the Brazilian Society of Endocrinology and Metabolism (SBEM) intends to alert the press, healthcare professionals and scientific community about the importance of the appropriate use of language, with the aim of improving obesity care.

Challenges and Opportunities in Diagnosis and Management of Cardiometabolic Risk in Adolescents

PURPOSE OF REVIEW

This review aims to elucidate the limitations of diagnosing metabolic syndrome in adolescents as well as challenges and opportunities in the identification and reduction of cardiometabolic risk in this population.

RECENT FINDINGS

There are multiple criticisms of how we define and approach obesity in clinical practice and scientific research, and weight stigma further complicates the process of making and communicating weight-related diagnoses. While the goal of diagnosing and managing metabolic syndrome in adolescents would be to identify individuals at elevated future cardiometabolic risk and intervene to reduce the modifiable component of this risk, there is evidence that identifying cardiometabolic risk factor clustering may be more useful in adolescents than establishing a cutoff-based diagnosis of metabolic syndrome. It has also become clear that many heritable factors and social and structural determinants of health contribute more to weight and body mass index than do individual behavioral choices about nutrition and physical activity. Promoting cardiometabolic health equity requires that we intervene on the obesogenic environment and mitigate the compounding effects of weight stigma and systemic racism. The existing options to diagnose and manage future cardiometabolic risk in children and adolescents are flawed and limited. While striving to improve population health through policy and societal interventions, there are opportunities to intervene at all levels of the socioecological model in order to decrease future morbidity and mortality from the chronic cardiometabolic diseases associated with central adiposity in both children and adults. More research is needed to identify the most effective interventions.

Promise and unrealized potential: 10 years of the American Medical Association classifying obesity as a disease

Introduction

In June 2013, the American Medical Association (AMA), one of the most influential healthcare organizations in the United States, voted to recognize obesity as a disease. Many who supported this change believed that recognition by AMA of obesity as a disease would serve as a tipping point that would increase access to care, accelerate training and research on the prevention and treatment of obesity, and reduce weight stigma. On the 10-year anniversary of this vote, this perspective piece outlines key advances made, as well as unrealized potential, in improving the obesity public health landscape since the AMA's classification of obesity as a disease.

Methods

We draw on the empirical literature, as well as our experiences as clinical psychologists, a physician, and public health researchers specializing in obesity, to provide an overview of major advances and continued challenges in improving access to obesity treatment, accelerating prevention and training, and reducing weight stigma. We also outline important next steps to advance these goals.

Results

While several notable advancements have occurred, significant work remains to create equitable access to evidence-based treatments, bring research and training on obesity on par with its prevalence, and reduce the pervasiveness and harm of weight stigma.

Conclusion

The past decade has witnessed some advances with respect to access to care and attention, yet there is unrealized potential that awaits attention. Truly conceptualizing and treating obesity as a chronic disease requires a major paradigm shift.

Weight loss to disrupt type 2 diabetes

Obesity is now recognised as a disease associated with significant morbidity and mortality. One of the most common metabolic complications of obesity is type 2 diabetes, because the two disease share similar pathophysiology. Weight loss is known to ameliorate the metabolic abnormalities underlying type 2 diabetes and improve glycemic control. A 15% or greater total body weight loss (TBWL) in patients with type 2 diabetes will have a disease-modifying effect, a result that is incomparable with other hypoglycemic-lowering interventions. Moreover, in patients with diabetes and obesity, weight loss exerts benefits beyond glycemic control and improves cardiometabolic disease risk factors and well-being. We review evidence supporting the role of intentional weight loss in managing type 2 diabetes. We suggest that many people with type 2 diabetes would benefit from an additional weight-based approach to managing their diabetes. Therefore, we proposed a weight-based treatment goal for patients with type 2 diabetes and obesity.

Comparison of computed tomography and dual-energy X-ray absorptiometry in the evaluation of body composition in patients with obesity

Objective

a) To evaluate the accuracy of the pre-existing equations (based on cm2 provided by CT images), to estimate in kilograms (Kg) the body composition (BC) in patients with obesity (PwO), by comparison with Dual-energy X-ray absorptiometry (DXA). b) To evaluate the accuracy of a new approach (based on both cm2 and Hounsfield Unit parameters provided by CT images), using an automatic software and artificial intelligence to estimate the BC in PwO, by comparison with DXA.

Methods

Single-centre cross-sectional study including consecutive PwO, matched by gender with subjects with normal BMI. All the subjects underwent BC assessment by Dual-energy X-ray absorptiometry (DXA) and skeletal-CT at L3 vertebrae. CT images were processed using FocusedON-BC software. Three different models were tested. Model 1 and 2, based on the already existing equations, estimate the BC in Kg based on the tissue area (cm2) in the CT images. Model 3, developed in this study, includes as additional variables, the tissue percentage and its average Hounsfield unit.

Results

70 subjects (46 PwO and 24 with normal BMI) were recruited. Significant correlations for BC were obtained between the three models and DXA. Model 3 showed the strongest correlation with DXA (r= 0.926, CI95% [0.835-0.968], p<0.001) as well as the best agreement based on Bland - Altman plots.

Conclusion

This is the first study showing that the BC assessment based on skeletal CT images analyzed by automatic software coupled with artificial intelligence, is accurate in PwO, by comparison with DXA. Furthermore, we propose a new equation that estimates both the tissue quantity and quality, that showed higher accuracy compared with those currently used, both in PwO and subjects with normal BMI.

American Association of Clinical Endocrinology Consensus Statement: Addressing Stigma and Bias in the Diagnosis and Management of Patients with Obesity/Adiposity-Based Chronic Disease and Assessing Bias and Stigmatization as Determinants of Disease Severity

OBJECTIVE

To focus on the intersection of perception, diagnosis, stigma, and weight bias in the management of obesity and obtain consensus on actionable steps to improve care provided for persons with obesity.

METHODS

The American Association of Clinical Endocrinology (AACE) convened a consensus conference of interdisciplinary health care professionals to discuss the interplay between the diagnosis of obesity using adiposity-based chronic disease (ABCD) nomenclature and staging, weight stigma, and internalized weight bias (IWB) with development of actionable guidance to aid clinicians in mitigating IWB and stigma in that context.

RESULTS

The following affirmed and emergent concepts were proposed: (1) obesity is ABCD, and these terms can be used in differing ways to communicate; (2) classification categories of obesity should have improved nomenclature across the spectrum of body mass index (BMI) using ethnic-specific BMI ranges and waist circumference (WC); (3) staging the clinical severity of obesity based on the presence and severity of ABCD complications may reduce weight-centric contribution to weight stigma and IWB; (4) weight stigma and internalized bias are both drivers and complications of ABCD and can impair quality of life, predispose to psychological disorders, and compromise the effectiveness of therapeutic interventions; (5) the presence and of stigmatization and IWB should be assessed in all patients and be incorporated into the staging of ABCD severity; and (6) optimal care will necessitate increased awareness and the development of educational and interventional tools for health care professionals that address IWB and stigma.

CONCLUSIONS

The consensus panel has proposed an approach for integrating bias and stigmatization, psychological health, and social determinants of health in a staging system for ABCD severity as an aid to patient management. To effectively address stigma and IWB within a chronic care model for patients with obesity, there is a need for health care systems that are prepared to provide evidence-based, person-centered treatments; patients who understand that obesity is a chronic disease and are empowered to seek care and participate in behavioral therapy; and societies that promote policies and infrastructure for bias-free compassionate care, access to evidence-based interventions, and disease prevention.

Percent body fat, but not body mass index, is associated with cardiometabolic risk factors in children and adolescents

Background

The epidemic of overweight and obesity has become a worldwide public health problem. Cardiometabolic diseases may originate in childhood. We investigated the association between percent body fat (PBF) measured by the bioelectrical impedance assay and cardiometabolic risk (CMR) in pediatrics.

Methods

This cross-sectional study involved 3819 subjects (6-17 years old) in Shanghai. We assessed the association between PBF and body mass index (BMI) with multiple CMR factors. We examined the risk for cardiometabolic abnormalities attributable to overweight and obesity based on age- and sex-specific PBF Z-scores and BMI Z-scores, respectively.

Results

PBF, but not BMI, was positively associated with multiple CMR factors in males and females except for total cholesterol in females (all p < 0.05). Compared with the non-overweight group based on PBF, overweight and obese subjects had increasingly higher odds ratio of dyslipidemia (2.90 (1.99-4.23), 4.59 (2.88-7.32) for males and 1.82 (1.20-2.75), 2.46 (1.47-4.11) for females) and elevated blood pressure (BP) (3.26 (2.35-4.51), 4.55 (2.92-7.09) for males and 1.59 (1.07-2.34), 3.98 (2.27-6.17) for females). Obesity females showed a higher likelihood for hyperglycemia (2.19 (1.24-3.84)) than non-overweight females. In both sexes, the predictive effect of PBF on dyslipidemia and elevated BP in adolescents was better than that in children. For hyperglycemia, the predictive effect of PBF was better in male adolescents and female children. There was no risk difference for cardiometabolic abnormalities attributable to BMI-based obesity categories.

Conclusions

PBF but not BMI was associated with CMR. Overweight and obesity categories based on PBF had an increased risk for cardiometabolic abnormalities in children and adolescents.

Beyond BMI

This review examined the origins of the concept of the BMI in the work of Quetelet in the 19th century and its subsequent adoption and use in tracking the course of the pandemic of obesity during the 20th century. In this respect, it has provided a valuable international epidemiological tool that should be retained. However, as noted in this review, the BMI is deficient in at least three ways. First, it does not measure body fat distribution, which is probably a more important guide to the risk of excess adiposity than the BMI itself. Second, it is not a very good measure of body fat, and thus its application to the diagnosis of obesity or excess adiposity in the individual patient is limited. Finally, the BMI does not provide any insights into the heterogeneity of obesity or its genetic, metabolic, physiological or psychological origins. Some of these mechanisms are traced in this review.

"Incorporating a Gym Facility in a Lifestyle Medicine Practice for Patients with Diabetes Mellitus"

Incorporating a gym or fitness facility into a lifestyle-focused clinic is potentially one of the most critical facets of the patient-focused care, especially for those with obesity, cardiometabolic disease, and all types of diabetes mellitus. The evidence for prioritizing physical activity and exercise as medicine is well-researched and universally recommended as first-line therapy plus prevention of many chronic disease states. Having a fitness center on-site as part of any clinic could improve patient utilization, reduce barrier to entry, and decrease hesitation to engage in exercise like resistance training. While the conceptualization may seem simple, the pragmatic application and implementation takes proper planning. Developing such a gym will depend upon gym size preference, program development, cost, and available personnel. Thought needs to be put into deciding which type of exercise and ancillary equipment, ranging from aerobic or resistance machines to free weights, will be included and in what format. Fee and payment options should be carefully considered to assure the budget works financially for both the clinic and patient population. Finally, graphic examples of clinical gyms are described to convey the potential reality of such an optimal setting.

The AACE 2022 Guideline: An Academic Appraisal

The American Association of Clinical Endocrinology (AACE) 2022 guideline provides comprehensive and evidence-based guidance on contemporary diabetes management. The statement reiterates the importance of person-centred, team-based care for optimum outcomes. The recent strides to prevent cardiovascular and renal complications have been aptly incorporated. The recommendations on virtual care, continuous glucose monitors, cancer screening, infertility and mental health are relevant. However, focused discussions on non-alcoholic fatty liver disease and geriatric diabetes care could have been helpful. Outlining targets for prediabetes care is a notable addition and is likely to be the most effective strategy in addressing the rising burden of diabetes.

American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm - 2023 Update

OBJECTIVE

This consensus statement provides (1) visual guidance in concise graphic algorithms to assist with clinical decision-making of health care professionals in the management of persons with type 2 diabetes mellitus to improve patient care and (2) a summary of details to support the visual guidance found in each algorithm.

METHODS

The American Association of Clinical Endocrinology (AACE) selected a task force of medical experts who updated the 2020 AACE Comprehensive Type 2 Diabetes Management Algorithm based on the 2022 AACE Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan and consensus of task force authors.

RESULTS

This algorithm for management of persons with type 2 diabetes includes 11 distinct sections: (1) Principles for the Management of Type 2 Diabetes; (2) Complications-Centric Model for the Care of Persons with Overweight/Obesity; (3) Prediabetes Algorithm; (4) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Dyslipidemia; (5) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Hypertension; (6) Complications-Centric Algorithm for Glycemic Control; (7) Glucose-Centric Algorithm for Glycemic Control; (8) Algorithm for Adding/Intensifying Insulin; (9) Profiles of Antihyperglycemic Medications; (10) Profiles of Weight-Loss Medications (new); and (11) Vaccine Recommendations for Persons with Diabetes Mellitus (new), which summarizes recommendations from the Advisory Committee on Immunization Practices of the U.S. Centers for Disease Control and Prevention.

CONCLUSIONS

Aligning with the 2022 AACE diabetes guideline update, this 2023 diabetes algorithm update emphasizes lifestyle modification and treatment of overweight/obesity as key pillars in the management of prediabetes and diabetes mellitus and highlights the importance of appropriate management of atherosclerotic risk factors of dyslipidemia and hypertension. One notable new theme is an emphasis on a complication-centric approach, beyond glucose levels, to frame decisions regarding first-line pharmacologic choices for the treatment of persons with diabetes. The algorithm also includes access/cost of medications as factors related to health equity to consider in clinical decision-making.

Comparative effectiveness of single foods and food groups on body weight: a systematic review and network meta-analysis of 152 randomized controlled trials

PURPOSE

This study aimed at quantifying and ranking the effects of different foods or food groups on weight loss.

METHODS

We searched PubMed, Scopus, Cochrane Central Register of Controlled Trials, and Embase to April 2021. We included randomized trials evaluating the comparative effects of two or more food groups, or compared a food group against a control group (usual diet, no intervention) for weight loss in adults. We conducted random-effects network meta-analysis with Bayesian framework to estimate mean difference [MD] and 95% credible interval [CrI] of the effect of food groups on weight loss.

RESULTS

152 RCTs with 9669 participants were eligible. Increased consumption of fish (MD - 0.85 kg, 95% CrI - 1.66, - 0.02; GRADE = low), whole grains (MD - 0.44 kg, 95% CrI - 0.88, 0.0; GRADE = very low), and nuts (MD - 0.37 kg, 95% CI - 0.72, - 0.01; GRADE = low) demonstrated trivial weight loss, well below minimal clinically important threshold (3.9 kg), when compared with the control group. Interventions with other food groups led to no weight loss when compared with either the control group or other food groups. The certainty of the evidence was rated low to very low with the point estimates for all comparisons less than 1 kg. None of the food groups showed an important reduction in body weight when restricted to studies conducted in participants with overweight or obesity.

CONCLUSIONS

Interventions with a single food or food group resulted in no or trivial weight loss, especially in  individuals with overweight or obesity. Further trials on single foods or food groups for weight loss should be highly discouraged.

The effect of curcumin supplementation on weight loss and anthropometric indices: an umbrella review and updated meta-analyses of randomized controlled trials

BACKGROUND

Curcumin supplementation may promote weight loss and ameliorate obesity-related complications through its antioxidative and anti-inflammatory properties.

OBJECTIVE

An umbrella review and updated meta-analysis of randomized controlled trials (RCTs) was conducted to evaluate the effect of curcumin supplementation on anthropometric indices.

METHODS

Systematic reviews and meta-analyses (SRMAs) of RCTs were identified from electronic databases (Medline, Scopus, Cochrane, and Google Scholar) up to 31 March, 2022, without language restriction. SRMAs were included if they assessed curcumin supplementation on any of the following: BMI, body weight (BW), or waist circumference (WC). Subgroup analyses were performed, stratifying by patient types, severity of obesity, and curcumin formula. The study protocol was a priori registered.

RESULTS

From an umbrella review, 14 SRMAs with 39 individual RCTs were included with a high degree of overlap. In addition, searching was updated from the last search of included SRMAs in April 2021 up to 31 March, 2022, and we found 11 additional RCTs, bringing the total up to 50 RCTs included in the updated meta-analyses. Of these, 21 RCTs were deemed of high risk of bias. Curcumin supplementation significantly reduced BMI, BW, and WC with mean differences (MDs) of -0.24 kg/m² (95% CI: -0.32, -0.16 kg/m²), -0.59 kg (95% CI: -0.81, -0.36 kg), and -1.32 cm (95% CI: -1.95, -0.69 cm), respectively. The bioavailability-enhanced form reduced BMI, BWs, and WC more, with MDs of -0.26 kg/m² (95% CI: -0.38, -0.13 kg/m²), -0.80 kg (95% CI: -1.38, -0.23 kg) and -1.41 cm (95% CI: -2.24, -0.58 cm), respectively. Significant effects were also seen in subgroups of patients, especially in adults with obesity and diabetes.

CONCLUSIONS

Curcumin supplementation significantly reduces anthropometric indices, and bioavailability-enhanced formulas are preferred. Augmenting curcumin supplement with lifestyle modification should be an option for weight reduction. This trial was registered at PROSPERO as CRD42022321112 (https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022321112).

Obesity among African American people in the United States: A review

Obesity is a growing public health crisis in the United States and is associated with a substantial disease burden due to an increased risk for multiple complications, including cardiovascular and metabolic diseases. As highlighted in this review, obesity disproportionately affects the African American population, women in particular, regardless of socioeconomic status. Structural racism remains a major contributor to health disparities between African American people and the general population, and it limits access to healthy foods, safe spaces to exercise, adequate health insurance, and medication, all of which impact obesity prevalence and outcomes. Conscious and unconscious interpersonal racism also impacts obesity care and outcomes in African American people and may adversely affect interactions between health care practitioners and patients. To reduce health disparities, structural racism and racial bias must be addressed. Culturally relevant interventions for obesity management have been successfully implemented that have shown benefits in weight management and risk-factor reduction. Strategies to improve health care practitioner-patient engagement should also be implemented to improve health outcomes in African American people with obesity. When managing obesity in African American people, it is critical to take a holistic approach and to consider an individual's social and cultural context in order to implement a successful treatment strategy.

Obesity among Latinx people in the United States: A review

Obesity is a serious, chronic disease that is associated with a range of adiposity-based comorbidities, including cardiovascular disease, type 2 diabetes, and nonalcoholic fatty liver disease. In the United States, obesity is a public health crisis, affecting more than 40% of the population. Obesity disproportionately affects Latinx people, who have a higher prevalence of obesity and related comorbidities (such as cardiovascular disease, type 2 diabetes, and nonalcoholic fatty liver disease) compared with the general population. Many factors, including genetic predisposition, environmental factors, traditional calorie-dense Latinx diets, family dynamics, and differences in socioeconomic status, contribute to the increased prevalence and complexity of treating obesity in the Latinx population. Additionally, significant heterogeneity within the Latinx population and disparities in health care access and utilization between Latinx people and the general population add to the challenge of obesity management. Culturally tailored interventions have been successful for managing obesity and related comorbidities in Latinx people. Antiobesity medications and bariatric surgery are also important options for obesity treatment in Latinx people. As highlighted in this review, when managing obesity in the Latinx population, it is critical to consider the impact of genetic, dietary, cultural, and socioeconomic factors, in order to implement an individualized treatment strategy.

Obesity in South and Southeast Asia-A new consensus on care and management

Obesity is a chronic disease in which the abnormal or excessive accumulation of body fat leads to impaired health and increased risk of mortality and chronic health complications. Prevalence of obesity is rising rapidly in South and Southeast Asia, with potentially serious consequences for local economies, healthcare systems, and quality of life. Our group of obesity specialists from Bangladesh, Brunei Darussalam, India, Indonesia, Malaysia, Philippines, Singapore, Sri Lanka, Thailand, and Viet Nam undertook to develop consensus recommendations for management and care of adults and children with obesity in South and Southeast Asia. To this end, we identified and researched 12 clinical questions related to obesity. These questions address the optimal approaches for identifying and staging obesity, treatment (lifestyle, behavioral, pharmacologic, and surgical options) and maintenance of reduced weight, as well as issues related to weight stigma and patient engagement in the clinical setting. We achieved consensus on 42 clinical recommendations that address these questions. An algorithm describing obesity care is presented, keyed to the various consensus recommendations.

Clinical efficacy of weight loss herbal intervention therapy and lifestyle modifications on obesity and its association with distinct gut microbiome: A randomized double-blind phase 2 study

GOALS

To assess the efficacy and safety of Chinese Medicine Prescription "W-LHIT" in subjects with simple obesity, and to explore its potential mechanism of action.

METHODS

Thirty-seven patients aged 18 to 60 from Wei-En hospital (Weifang City, Shandong, China), participated in a double blinded, placebo-controlled study. Subjects were randomly divided into 2 groups, 18 in treatment and 19 in placebo group. The treatment group took the "W-LHIT" capsules for two months, while the control group received placebo capsules. Both groups accepted healthy lifestyle education materials. After a 2-month treatment, the placebo group transferred to open-label treatment after unblinding.

RESULTS

72.22% participants in the treatment group lost more than 5% of their body weight, compared with 36.84% in the placebo group (p < 0.001). Body weight loss and body mass index reduction of the treatment group were also significantly higher than those of the placebo group (p < 0.05). These changes were accompanied by increased abundance of Akkermansia muciniphila and Enterococcus faecium, and decreased abundance of Proteobacteria in gut microbiota. Furthermore, the treatment group also showed improvement in obesity-related comorbidities such as hypertension and elevation of liver enzymes. No serious adverse reactions were found during the study period. Weight did not rebound at a follow-up visit 2 months after treatment.

CONCLUSION

W-LHIT significantly improved body weight and comorbid conditions without obvious adverse reaction or rebound weight gain. These effects were associated with increased abundance of probiotics in gut microbiota. W-LHIT may have a potential for treating obesity in conjunction with healthy lifestyle modifications.

Semaglutide for the treatment of overweight and obesity: A review

Obesity is a chronic, relapsing disease associated with multiple complications and a substantial morbidity, mortality and health care burden. Pharmacological treatments for obesity provide a valuable adjunct to lifestyle intervention, which often achieves only limited weight loss that is difficult to maintain. The Semaglutide Treatment Effect in People with obesity (STEP) clinical trial programme is evaluating once-weekly subcutaneous semaglutide 2.4 mg (a glucagon-like peptide-1 analogue) in people with overweight or obesity. Across STEP 1, 3, 4 and 8, semaglutide 2.4 mg was associated with mean weight losses of 14.9%-17.4% in individuals with overweight or obesity without type 2 diabetes from baseline to week 68; 69%-79% of participants achieved ≥10% weight loss with semaglutide 2.4 mg (vs. 12%-27% with placebo) and 51%-64% achieved ≥15% weight loss (vs. 5%-13% with placebo). In STEP 5, mean weight loss was -15.2% with semaglutide 2.4 mg versus -2.6% with placebo from baseline to week 104. In STEP 2 (individuals with overweight or obesity, and type 2 diabetes), mean weight loss was -9.6% with semaglutide 2.4 mg versus -3.4% with placebo from baseline to week 68. Improvements in cardiometabolic risk factors, including high blood pressure, atherogenic lipids and benefits on physical function and quality of life were seen with semaglutide 2.4 mg. The safety profile of semaglutide 2.4 mg was consistent across trials, primarily gastrointestinal adverse events. The magnitude of weight loss reported in the STEP trials offers the potential for clinically relevant improvement for individuals with obesity-related diseases.

Cardiometabolic-based chronic disease: adiposity and dysglycemia drivers of heart failure

Heart failure (HF) is a complex clinical syndrome, associated with high rates of mortality, hospitalization, and impairment of quality of life. Obesity and type 2 diabetes are major cardiometabolic drivers, represented as distinct stages of adiposity- and dysglycemia-based chronic disease (ABCD, DBCD), respectively, and leading to cardiometabolic-based chronic disease (CMBCD). This review focuses on one aspect of the CMBCD model: how ABCD and DBCD influence genesis and progression of HF phenotypes. Specifically, the relationships of ABCD and DBCD stages with structural and functional heart disease, HF risk, and outcomes in overt HF are detailed. Also, evidence-based lifestyle, pharmacological, and procedural interventions that promote or reverse cardiac remodeling and outcomes in individuals at risk or with HF are discussed. In summary, driver-based chronic disease models for individuals at risk or with HF can expose prevention targets for more comprehensive interventions to improve clinical outcomes. Future randomized trials that investigate structured lifestyle, pharmacological, and procedural therapies specifically tailored for the CMBCD model are needed to develop personalized care plans to decrease HF susceptibility and improve outcomes.

Development of an Assessment Tool for Completion by Patients with Overweight or Obesity

INTRODUCTION

Discussions of weight-management strategies between patients and healthcare providers can yield positive outcomes for people with overweight or obesity. Nonetheless, people with overweight or obesity encounter communication challenges and other barriers to pursuing effective weight-management strategies with their healthcare providers. The aim of this study was to develop a new self-completed assessment tool to initiate and facilitate conversations related to weight management between patients and healthcare providers.

METHODS

Developing the assessment tool involved a series of steps and draft versions of the tool, based on feedback from key opinion leaders in the field of obesity (N = 4) and input from people with overweight or obesity (N = 18). Three iterative rounds of qualitative interviews were conducted in the USA. A targeted review of prior qualitative research was conducted to identify common and important impacts of obesity on patients' functioning. Standard qualitative analytical methods were used to identify concepts of importance in a concept elicitation exercise during the interviews and were evaluated for potential inclusion in the tool. Potential problems with the tool were flagged during cognitive debriefing of the draft tool.

RESULTS

During 18 individual interviews, participants referenced the impact of their weight on their lives, including health and comorbidities, physical function, emotional/mental functioning, social life, and physical appearance. Over the course of the tool's development, 24 common and important impacts of obesity on patients' functioning were reduced to a final set of eight concepts in the final tool that were deemed important and relevant to both patients and key opinion leaders.

CONCLUSIONS

The assessment tool is a five-item, self-completed measure expected to foster patient self-advocacy for individuals with overweight or obesity by giving them an opportunity to define their weight-management goals and discuss these, along with various medical interventions, with a healthcare provider.

NAFLD as the metabolic hallmark of obesity

Non-alcoholic fatty liver disease (NAFLD) has become the most common chronic liver disease worldwide, associated with a high risk of progression to NASH, liver cirrhosis and hepatocarcinoma. Its prevalence is closely related to obesity (understood as adipose-based disease and insulin resistance), which makes that at present NAFLD can be considered a metabolic dysfunction hallmark, regardless of the body mass index. Despite being such a prevalent condition, with such severe consequences, at present there are no reliable biomarkers for its diagnosis or specific treatment. Significant and sustained weight loss, as well as some antidiabetic treatments, has shown promising results for NAFLD but data needs confirmation in larger clinical trials and longer follow-up. Efforts should be made for a better and more accurate baseline diagnosis (including large-scale genetics), identification of patients at higher risk for progression to NASH as well as adequate treatment, to allow us to offer a personalized approach in NAFLD in the context of precision medicine.

Household Income, Cortisol, and Obesity During Early Childhood: A Prospective Longitudinal Study

OBJECTIVE

To prospectively evaluate the relationship between household income, children's cortisol, and body mass index (BMI) trajectories over a 3-year period in early childhood.

STUDY DESIGN

Household income, child hair cortisol levels, and BMI were measured at baseline, 12-, 24-, and 36-month follow-up visits in the Now Everybody Together for Amazing and Healthful Kids (NET-Works) Study (n = 534, children ages 2-4 years, and household income <$65 000/year at baseline). Relationships were examined between very low household income (<$25 000/year) at baseline, income status over time (remained <$25 000/year or had increasing income), cortisol accumulation from hair samples, and BMI percent of the 95th percentile (BMIp95) trajectories using adjusted linear growth curve modeling. Households with baseline income between $25 000 and $65 000/year were the reference group for all analyses.

RESULTS

Children from very low-income households at baseline had annual changes in BMIp95 that were higher (P < .001) than children from reference group households (0.40 vs -0.62 percentage units/year). Annual increases in BMIp95 were also greater among children from households that remained very low income (P < .01, .34 percentage units/year) and among those with increasing income (P = .01, .51 percentage units/year) compared with the reference group (-0.61 percentage units/year). Children from households that remained very low income had higher hair cortisol accumulations (0.22 pg/mg, P = .02) than reference group children, whereas hair cortisol concentrations of children from households with increasing income (0.03 pg/mg) did not differ significantly from the reference group. Cortisol was not related to BMIp95.

CONCLUSIONS

The economic circumstances of families may impact children's BMI trajectories and their developing stress systems, but these processes may be independent of one another.