Relationship Between Zinc, Selenium, and Magnesium Status and Markers of Metabolically Healthy and Unhealthy Obesity Phenotypes.

Our objective was to investigate the relationship between zinc, selenium, and magnesium status and markers of metabolically healthy and unhealthy obesity phenotypes. This was a cross-sectional study with 140 women: metabolically healthy obese women (n = 35), metabolically unhealthy obese women (n = 28), and normal-weight women (n = 77). We have calculated the body mass index, waist-hip ratio, waist-height ratio and some adiposity indices. Additionally, we evaluated endocrine-metabolic parameters and estimated the dietary intake of energy, macronutrients, zinc, selenium, and magnesium. The mineral concentrations in plasma, erythrocytes, and urine were assessed. In obese patients, there was a significant decrease in dietary zinc, selenium, and magnesium intake per kilogram of body weight, as well as lower mineral concentrations in both plasma and erythrocytes. Additionally, these patients exhibited higher urinary mineral levels compared to the control group, regardless of whether they had healthy or unhealthy phenotypes. We observed a significant correlation between deficiencies in zinc, selenium, and magnesium and obesity-associated metabolic disorders, including dyslipidemias and redox status disturbances. This study highlights a connection between deficiencies in zinc, selenium, and magnesium and metabolic disorders linked to obesity, including dyslipidemias, alterations in redox status, and thyroid hormonal dysfunction.

Association between the expression of TLR4, TLR2, and MyD88 with low-grade chronic inflammation in individuals with metabolically healthy obesity.

BACKGROUND: Among the Toll-like receptors (TLR) that are dependent of myeloid response protein (MyD88), the TLR4 and TLR2 are directly associated with low-grade chronic inflammation; however, they are not been investigated in subjects with metabolically healthy obesity (MHO). Thus, the objective of this study was to determine the association between the expression of TLR4, TLR2, and MyD88 with low-grade chronic inflammation in individuals with MHO. METHODS AND RESULTS: Men and women with obesity aged 20 to 55 years were enrolled in a cross-sectional study. Individuals with MHO were allocated into the groups with and without low-grade chronic inflammation. Pregnancy, smoking, alcohol consumption, intense physical activity or sexual intercourse in the previous 72 h, diabetes, high blood pressure, cancer, thyroid disease, acute or chronic infections, renal impairment, and hepatic diseases, were exclusion criteria. The MHO phenotype was defined by a body mass index (BMI ≥ 30 kg/m2) plus one or none of the following cardiovascular risk factors: hyperglycemia, elevated blood pressure, hypertriglyceridemia, and low high-density lipoprotein cholesterol. A total of 64 individuals with MHO were enrolled and allocated into the groups with (n = 37) and without (n = 27) inflammation. The multiple logistic regression analysis indicated that TLR2 expression is significantly associated with inflammation in individuals with MHO. In the subsequent analysis adjusted by BMI, TLR2 expression remained associated with inflammation in individuals with MHO. CONCLUSION: Our results suggest that overexpression of TLR2, but not TLR4 and MyD88, is associated with low-grade chronic inflammation in subjects with MHO.

Prevalence of liver cirrhosis based on the metabolic health and weight criteria: Report from the Korea National Health and Nutrition Examination Survey (KNHANES) data analysis.

INTRODUCTION AND OBJECTIVES: Recent studies have proposed two distinctive types of obesity, metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO), based on various physiological factors. This study sought to explore the relationship between the metabolic obesity types and the incidence of liver cirrhosis (LC) in a large nationally-representative population. MATERIALS AND METHODS: Data on 27,629 adults with MHO or MUHO, were analyzed from the Korea National Health and Nutrition Examination Survey (KNHANES) obtained from 2015 through 2019. Four categories of metabolic health and weight (MHW) were generated for analysis: (1) MHO, (2) MUHO, (3) Metabolically unhealthy normal weight (MUHNW), and (4) Metabolically healthy normal weight (MHNW). Statistical analyzes were performed with univariate and multivariate logistic regression. RESULTS: The prevalence of LC did not show statistically significant differences among the MHW categories: 0.5% in MHO, 0.4% in MUHO, 0.2% in MHNW, and 0.3% in MUHNW. The unadjusted analysis showed a significant association between self-reported LC and MUHO, but this association was not evident in the adjusted analysis. In the adjusted analysis of the prevalence of laboratory LC, a significant association emerged in the MUHO group, followed in descending order of magnitude by the MHO and MUHNW groups. A favorable fasting blood glucose level was the only factor associated with increased prevalence of reported LC in MUHO. CONCLUSIONS: The study demonstrated a difference in the prevalence of LC between MHO and MUHO. Our study concludes that the MHO phenotype is a transient status with regard to metabolic abnormalities, and caution is necessary when evaluating MHO.

Dose-Response Relationship of Resistance Training on Metabolic Phenotypes, Body Composition and Lipid Profile in Menopausal Women.

The relationship between volume training of resistance training (RT), body composition and cardiometabolic profile in menopausal women is poorly understand. This study aimed to evaluate the dose−response relationship of RT on lipid profile, body composition and metabolic phenotypes in menopausal women. A total of 31 women were categorized according to different volume of RT. Body composition was evaluated by DEXA and the cardiometabolic risk by metabolic phenotypes and lipid profile. There was a higher frequency of metabolically unhealthy phenotype in women who practiced RT for less than two years and had a weekly frequency lower than three days a week (p > 0.05). Women with more than two years and a higher weekly frequency of RT had lower trunk fat mass than their counterparties (15.33 ± 7.56 versus 10.57 ± 4.87, p = 0.04; 16.31 ± 7.46 versus 10.98 ± 5.49, p = 0.03, respectively). There was an association between HDL-c and time of RT in years. A moderate correlation was identified between variables of body adiposity, time in years and weekly frequency of RT. The present study concludes that more time in years and weekly frequency of RT practice are associated with lower body adiposity in menopausal women, the first also being associated with HDL-c.

Vitamin D is directly associated with favorable glycemic, lipid, and inflammatory profiles in individuals with at least one component of metabolic syndrome irrespective of total adiposity: Pró-Saúde Study, Brazil.

Vitamin D insufficiency has been suggested as a risk factor for several metabolic disorders. The objective of the study was to investigate the association between serum 25 hydroxyvitamin D [25(OH)D] and metabolic health markers of Brazilian individuals with normal-weight, overweight or obesity. We hypothesized that serum 25(OH)D would be inversely associated with glycemic, lipid and inflammatory markers indicative of metabolic abnormality. Data of 511 individuals (33-79 years), recruited from a longitudinal investigation (Pró-Saúde Study), were analyzed cross-sectionally. Anthropometric, biochemical, body composition, socio-demographic and lifestyle data were collected. Based on body mass index (BMI; normal weight, overweight, obesity) and metabolic health (metabolically healthy (MH) and metabolically unhealthy (MU)) categories, the participants were classified into 6 phenotypes. Individuals having zero components of the metabolic syndrome were considered as "MH". MH obesity was frequent in 2.0% of the participants and 56.0% exhibited vitamin D insufficiency (<20 ng/mL). In the subgroups of the same BMI category, there were no significant differences in 25(OH)D concentrations between individuals classified as MH and MU. After adjustments (including %body fat and BMI), an inverse association was observed between 25(OH)D and visceral adipose tissue (B = -6.46, 95% confidence interval, CI: -12.87, -0.04), leptin (B = -0.09, 95% confidence interval, CI: -0.14, -0.03), insulin (B = -0.21, 95%CI: -0.34, -0.07), HOMA-IR (B = -0.06, 95%CI: -0.10, -0.02), triglycerides (B = -2.44, 95%CI: -3.66, -1.22), and TNF-α (B = -0.12, 95%CI: -0.24, -0.005) only in MU individuals. Our results indicate that the association of 25(OH)D concentrations with a favorable biochemical profile (glycemic, lipidic and inflammatory) seems to depend on the individual's overall metabolic health, suggesting more benefits from higher serum vitamin D in MU individuals, regardless of their adiposity.

Influence of dietary patterns on the metabolically healthy obesity phenotype: A systematic review.

AIMS: In many individuals (35%) obesity is not accompanied by cardiometabolic disorders, a condition referred to as metabolically healthy obesity. Since the effectiveness of dietary interventions for this condition is not well established, this study reviews the influence of dietary patterns on the phenotype of metabolically healthy obesity in adults and elderly. DATA SYNTHESIS: The review was carried out following the PRISMA guidelines and registered in the PROSPERO. The search was conducted in the MEDLINE, SCOPUS, Web of Science, Science Direct, LILACS, and SciELO databases. A total of 236 articles were identified, seven of which were selected for synthesis after application of the eligibility criteria. CONCLUSIONS: The overall result found out in this synthesis was that the greater adherence to healthy eating patterns was considered a preventive to the transition from metabolically healthy obesity to metabolic unhealthy obese phenotypes, by improving metabolic health, and reducing the risk of cardiovascular disease and mortality from all causes. In contrast, unhealthy eating patterns resulted in increased inflammation and risks of developing noncommunicable diseases. This review indicates that adherence to healthy eating patterns may interfere with metabolic phenotypes of obesity and positively affect metabolically healthy obesity. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number CRD42020159783.

Natural course of metabolically healthy phenotype and risk of developing Cardiometabolic diseases: a three years follow-up study.

BACKGROUND: Whether the metabolically healthy obese (MHO) phenotype is a single, stable or a transitional, fluctuating state is currently unknown. The Mexican-Mestizo population has a genetic predisposition for the development of type 2 diabetes (T2D) and other cardiometabolic complications. Little is known about the natural history of metabolic health in this population. The aim of this study was to analyze the transitions over time among individuals with different degrees of metabolic health and body mass index, and evaluate the incidence of cardiometabolic outcomes according to phenotype. METHODS: The study population consisted of a metabolic syndrome cohort with at least 3 years of follow up. Participants were apparently-healthy urban Mexican adults ≥20 years with a body mass index (BMI) ≥20 kg/m2. Metabolically healthy phenotype was defined using the criteria of the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) metabolic syndrome criteria and the subjects were stratified into 4 groups according to their BMI and metabolic health. For cardiometabolic outcomes we estimated the incidence of cardiometabolic outcomes and standardized them per 1, 000 person-years of follow-up. Finally, to evaluate the risk for transition and development of cardiometabolic outcomes, we fitted Cox Proportional Hazard regression models. RESULTS: Amongst the 5541 subjects, 54.2% were classified as metabolically healthy and 45.8% as unhealthy. The MHO prevalence was 39.3%. Up to a third of the population changed from their initial category to another and the higher transition rate was observed in MHO (42.9%). We also found several novel factors associated to transition to metabolically unhealthy phenotype; socioeconomic status, number of pregnancies, a high carbohydrate intake, history of obesity and consumption of sweetened beverages. Similarly, visceral adipose tissue (VAT) was a main predictor of transition; loss of VAT ≥5% was associated with reversion from metabolically unhealthy to metabolically healthy phenotype (hazard ratio (HR) 1.545, 95%CI 1.266-1.886). Finally, we observed higher incidence rates and risk of incident T2D and hypertension in the metabolically unhealthy obesity (MUHO) and metabolically unhealthy lean (MUHL) phenotypes compared to MHO. CONCLUSIONS: Metabolic health is a dynamic and continuous process, at high risk of transition to metabolically unhealthy phenotypes over time. It is imperative to establish effective processes in primary care to prevent such transitions.

Inadequacy of Vitamin D Nutritional Status in Individuals with Metabolically Unhealthy Obesity Phenotype: The Relevance of Insulin Resistance.

PURPOSE: The aim was to evaluate 25(OH)D serum concentrations in metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) and its relation with biochemical and clinical parameters in both groups according to homeostatic model assessment-insulin resistance (HOMA-IR) definition of the obesity phenotypes. PATIENTS AND METHODS: Descriptive cross-sectional study was conducted with individuals of both genders. Anthropometric data [waist circumference, body mass index (BMI)] and metabolic parameters: blood glucose, glycated hemoglobin, insulin, lipid profile, calcium, phosphorus, parathyroid hormone (PTH) and high-sensitivity c-reactive protein (hs-CRP) and (25(OH)D) were obtained. The cutoff points for vitamin D deficiency and insufficiency were ≤20 and 21-29 ng/mL, respectively. Individuals were classified as MUHO according to HOMA-IR≥2.5. RESULTS: This study comprised 232 individuals with obesity (BMI≥35 kg/m2; 42.6±4.7 kg/m2). The MUHO phenotype was observed in 76.7% of the population. The mean values of glucose (P<0.001), insulin (P<0.001), HOMA-IR (P<0.001), and triglycerides (P=0.049) were significantly higher in the MUHO than in the MHO phenotype group. The mean value of 25(OH)D showed a significant difference between the MHO and MUHO phenotype groups (P=0.011). Additionally, and in line, lower mean 25(OH)D values were found in the MUHO vs the MHO phenotype group in the deficiency (14.5±3.6 ng/mL/17.1±2.7 ng/mL, P=0.004) and insufficiency (24.5±2.9 ng/mL/25.7±2.6 ng/mL, P=0.077) 25(OH)D groups. An increase of 1 ng/mL of vitamin D increased in 1.051 (95% CI= 1.011-1.093, P=0.012) the odds of the healthy phenotype. CONCLUSION: The highest prevalence of inadequacy of serum concentrations of 25(OH)D and greater severity of this deficiency in individuals with MUHO phenotype were observed. Low serum concentrations of this vitamin were associated, mainly, with insulin resistance. Monitoring the nutritional status of vitamin D in individuals with obesity that present with MUHO phenotype may contribute to minimize the occurrence and aggravation of diseases associated with obesity.

Emerging concepts in metabolically healthy obesity.

Obesity is a major risk factor for noncommunicable diseases that is responsible for more than 70% of early deaths in the world. In the 1980's decade, some studies started to describe a "benign" obesity phenotype, named "metabolically healthy obesity" (MHO), which represents obesity without comorbidities such as hypertension, cardiovascular diseases, insulin resistance, diabetes, dyslipidemia or metabolic syndrome. However, it is still unclear if this "benign" obesity phenotype is really favorable or just a transition status to unhealthy obesity and if these subjects presented subclinical levels of cardiovascular risk that are not commonly detected. To further elucidate these issues, the investigation of pathophysiological mechanisms that can increase cardiovascular risk in MHO individuals, such as hormones and cytokines, may offer some responses. In parallel, the evaluation of subclinical cardiovascular derangement, using the systemic microcirculation as a proxy, may be an alternative to anticipate overt cardiovascular disease. Overall, further studies are needed to better understand the pathophysiology of MHO as well as to identify high-risk individuals who deserve more intensive management.

Comparison between metabolically healthy obesity and metabolically unhealthy obesity by different definitions among Mexican children.

Background There is no consensus on the definition of metabolically healthy obesity (MHO) and the diagnostic criteria in children. Objectives To estimate the prevalence of MHO and compare clinical and biochemical characteristics between MHO and metabolically unhealthy obesity (MUO), and to evaluate the association between MUO and cardiovascular disease (CVD) risk, anthropometrics and family background using different definitions in children. Methods This was a cross-sectional study. Participants included 224 obese children between the years 2007 and 2017. MHO was defined by three different criteria: (i) absence of metabolic syndrome (MHO-MS), (ii) no insulin resistance (IR) by homeostatic model assessment (HOMA) <3.16 cut-off (MHO-IR3.16) and (iii) absence of IR at <95th percentile for Mexican children (MHO-95th). Results The prevalence of MHO-MS, MHO-IR3.16 and MHO-IR95th was 12.9%, 56.3% and 41.5%, respectively. The prevalence of simultaneous MHO-MS plus MHO-IR95th was 5.36%. Children with MHO-MS vs. MUO-MS showed lower height, weight and body mass index (BMI) percentiles; MHO-IR3.16 vs. MUO-IR3.16 showed lower age, acanthosis, Tanner, waist circumference (WC), waist-to-height ratio (WHtR), systolic blood pressure (SBP), diastolic blood pressure (DBP) and glucose; and MHO-IR95th vs. MUO-IR95th showed lower acanthosis, WC, DBP, glucose and high high-density lipoprotein cholesterol (HDL-C). MUO-MS was associated with WC > 90th, type 2 diabetes mellitus (T2DM) in first-degree relatives and obesity in siblings. MUO-IR3.16 was associated with pubertal stages, WC > 90th, WHtR > 0.55 and fasting hyperglycemia. MUO-IR95th was associated with WHtR > 0.55 and HDL < 10th. MHO-MS and MHO-IR3.16 or MHO-IR95th did not have agreement. Conclusions The prevalence of MHO varied depending on the definition, although the real MHO with no MS or IR is very low. Low DBP and high HDL-C in MHO were present in any definition. Association of MUO with anthropometric, biochemical and family background differs across definitions.

¿Cuál es la prevalencia de obesidad metabólicamente saludable en población chilena? / What is the prevalence of metabolically healthy obesity in Chile?

RESUMEN La obesidad es un importante factor de riesgo cardiovascular. No obstante, no todas las personas obesas tienen un perfil metabólico alterado ni todas las personas normo-peso poseen un perfil metabólico normal. Objetivo: determinar la prevalencia de diferentes fenotipos metabólicos asocia-dos al estado nutricional en Chile. Métodos: se incluyeron 1.733 participantes de la Encuesta Nacional de Salud 2009-2010. El estado nutricional (obesidad o normo-peso) fue determinado a través del IMC mientras que la condición metabólica (saludable o no) en base a cuatro parámetros: glicemia, presión arterial, colesterol HDL y triglicéridos. Con estos parámetros de determinaron 4 fenotipos, entre ellos, MUNO: metabólicamente no saludable no obeso y MHO: obeso metabólicamente saludable. Resultados: La prevalencia de MHO fue de 3,3% mientras que un 17,4% presentaba MUNO. Adicionalmente, la prevalencia de MHO disminuyó en la medida que aumentó la edad y la mayor proporción de individuos metabólicamente saludables se encontraba en el grupo de altos ingresos y con un nivel educacional superior (técnico-universitario). Conclusión: Se evidencia una baja prevalencia de MHO, así como también una alta prevalencia de individuos MUNO en la población chilena. Futuras acciones preventivas deberían no sólo considerar el estado nutricional sino también la condición metabólica de la población.

ABSTRACT Obesity is an important cardiovascular risk factor. However, not all obese individuals have an unhealthy metabolic pro-file and vice versa. Therefore, the aim of this study was to determine the prevalence of different metabolic phenotypes by nutritional status in Chile. Methods: 1,733 individuals from the National Health Survey 2009-10 were included in this study. Nutritional status (obesity or normal-weight) was determined by BMI whereas metabolic profile was determined through four parameters: Glycaemia, blood pressure, HDL cholesterol and triglycerides. Four metabolic phenotypes were derived, among them: MUNO: metabolically unhealthy and non-obese and MHO: metabolically healthy obesity. Results: The prevalence of MHO in the Chilean population was 3.3% while the prevalence of MUNO was 17.4%. Moreover, the prevalence of MHO decreased as age increased and a greater proportion of metabolically healthy individuals were in the highest gross income group and in the technical-university educational level. Conclusion: This study shows a low prevalence of MHO and a higher prevalence of MUNO in the Chilean population. Future preventive actions should take into account not only the nutritional status, but also the metabolic profile of the population.

Fasting insulin resistance affects the prevalence of metabolically healthy obesity in Brazilian adolescents.

AIM: We aimed to assess the influence of fasting insulin resistance on metabolically healthy obesity (MHO) prevalence in adolescents and to identify associated factors. METHODS: This retrospective, registry-based, cross-sectional study included 418 (51.9% girls) 10- to 18-year-old adolescents with obesity from a tertiary outpatient clinic in Sao Paulo, Brazil, between 2009 and 2013. The prevalence of MHO was estimated according to two definitions: (i) no cardiometabolic risk factors (CMRF) by the International Diabetes Federation parameters and (ii) no CMRF and homeostatic model assessment for insulin resistance <3.16. Adjusted prevalence ratios and 95% confidence intervals (CI) evaluated the association of gender, age, pubertal stages, skin colour and degree of obesity with MHO. RESULTS: Metabolically healthy obesity prevalence was lower in definition II than definition I (12.7%; 95% CI 9.1-16.3% versus 43.1%; 95% CI 38.0-48.2%, respectively). Adjusted results showed negative association between severe obesity and MHO by both definitions (p ≤ 0.01). Male and later pubertal stages were also less likely to have MHO, but neither remained significant in definition II. CONCLUSION: Metabolically healthy obesity prevalence decreased when insulin resistance was part of the definition. Detecting pre-clinical insulin resistance may improve the management of treatment-seeking adolescents, especially when they present no CMRF.

Serum Antioxidant Associations with Metabolic Characteristics in Metabolically Healthy and Unhealthy Adolescents with Severe Obesity: An Observational Study.

Considering the inadequacy of some antioxidant nutrients in severely obese adolescents, this study aimed to assess the relationship between antioxidant micronutrients status and metabolic syndrome components in metabolically healthy obesity (MHO) and unhealthy obesity (MUO). We performed an observational study in severely obese adolescents (body mass index > 99th percentile) and they were classified into MHO or MUO, according to the criteria adapted for adolescents. Anthropometric, biochemical, and clinical variables were analyzed to characterize the sample of adolescents. The serum antioxidant nutrients assessed were retinol, ß-carotene, Vitamin E, Vitamin C, zinc and selenium. A total of 60 adolescents aged 17.31 ± 1.34 years were enrolled. MHO was identified in 23.3% of adolescents. The MHO group showed lower frequency of non-alcoholic fatty liver disease (14.3% vs. 78.3%, p < 0.001) when compared to MUO. A correlation was found between retinol and ß-carotene concentrations with glycemia (r = -0.372; p = 0.011 and r = -0.314; p = 0.034, respectively) and between Vitamin E with waist circumference (r = -0.306; p = 0.038) in the MUO group. The current study shows that some antioxidant nutrients status, specifically retinol, ß-carotene, and Vitamin E, are negatively associated with metabolic alterations in MUO. Further studies are necessary to determine the existing differences in the serum antioxidant profile of metabolically healthy and unhealthy obese adolescents.

All-cause mortality of metabolically healthy or unhealthy obese: risk stratification using myocardial perfusion imaging.

INTRODUCTION: There is still controversy about the favorable prognosis of "metabolically healthy" (MH) obese. This study evaluated mortality and the use of myocardial perfusion scintigraphy (MPS) for risk stratification of MH or metabolically unhealthy (MU) obese or nonobese patients. MATERIAL AND METHODS: Patients without dyslipidemia, hypertension, or diabetes were considered MH, and those with ≥ 1 of these risk factors were considered MU. The MPS was categorized as normal, abnormal or ischemic. Patients were followed for 4.0 ±1.0 years for all-cause death. RESULTS: Of 2450 patients, 613 were obese. The MH obese patients less often had ischemia than MU obese, but there was no significant difference in the prevalence of ischemia compared to all nonobese. The annualized death rate of MH obese was 1.3% and of nonobese 1.0% (p = 0.4). An abnormal MPS and the MU status were independently associated with death, with hazard ratios of 1.85 and 1.72, respectively. A normal MPS identified patients with low risk among all subgroups; annualized rates of death were 1.0%, 1.1% and 1.0% for all nonobese, MH obese and MU obese, respectively (p = 0.63). CONCLUSIONS: The annualized death rate of MH obese patients was not significantly different from that of nonobese individuals. Myocardial perfusion scintigraphy was able to stratify prognosis in the overall patient population. These data may be helpful to identify high-risk individuals, thereby improving patient management.

Metabolically healthy obese individuals: Key protective factors.

OBJECTIVES: Obesity is a significant quality of life-impairing health problem affecting industrialized nations. However, despite carrying a large fat mass, some very obese individuals exhibit normal metabolic profiles (metabolically healthy obesity). The physiological factors underlying their protective and favorable metabolic profiles remain poorly defined. METHODS: A search of the National Library of Medicine PubMed database was performed using the following keywords: Metabolically healthy obese, metabolically normal obese, insulin resistance, metabolically unhealthy normal weight, and uncomplicated obesity. RESULTS: This article reviewed factors associated with severe obesity that lacks complications, and suggests putative activities by which these obese individuals avoid developing the clinical features of metabolic syndrome, or the metabolic complications associated with severe obesity. CONCLUSIONS: Despite the knowledge that visceral fat deposition is the seminal factor that ultimately causes insulin resistance (IR) and the detrimental inflammatory and hormonal profile that contributes to increase risk for cardiovascular disease, it remains unknown whether metabolically healthy obesity (MHO) has genetic predisposing factors, and whether MHO ultimately succumbs to IR and the metabolic syndrome, indicating a need for prophylatic bariatric surgery.