Metabolically Healthy Normal Weight Research Articles

Metabolically healthy obesity and risk of stroke: a meta-analysis of prospective cohort studies.

BackgroundMetabolic healthy obesity (MHO) is a unique subgroup of overweight and obese individuals with normal metabolic characteristics. Its association with the risk of stroke remains unclear. We aimed to examine the risk of stroke in MHO individuals and the further associations between stroke and metabolic abnormalities under different bodyweight conditions.MethodsWe systematically searched PubMed, Embase and Cochrane Library from December 1946 to January 2019, and only included prospective cohort studies. Random effects models were used to evaluate the pooled risk ratios (RR) and 95% confidence intervals (95% CI) of incident stroke.ResultsA total of eight studies comprising 4,256,888 participants were included in the meta-analysis. MHO individuals had an increased risk of stroke compared with metabolically healthy normal weight (MH-NW) individuals (RR =1.17, 95% CI: 1.11–1.23). However, the stroke risk of metabolically healthy overweight individuals was the same (RR =1.02, 95% CI: 0.84–1.23). All groups with unhealthy metabolism had a similarly elevated risk: normal weight (RR =1.83, 95% CI: 1.57–2.14), overweight (RR =1.93, 95% CI: 1.44–2.58), and obesity (RR =2.00, 95% CI: 1.40–2.87).ConclusionsThe meta-analysis confirms a positive association between MHO phenotype and the risk of stroke. Individuals with metabolic abnormalities under different bodyweight conditions are at elevated risk.

Association of Metabolic Obesity Phenotypes and Total Testosterone in Chinese Male Population.

ObjectiveObesity and metabolic syndrome have been reported to exert an impact on the male reproductive system with decreasing levels of serum total testosterone (TT); however, the effect of different metabolic obesity phenotypes on testosterone has been poorly studied. We aimed to evaluate the association of metabolic obesity phenotypes and total testosterone levels in a Chinese male population.MethodsWe performed a retrospective study based on an epidemiological investigation, a total of 4,081 male individuals aged from 40–75 years old were recruited. The population was classified as metabolically healthy normal weight (MHNW), metabolically healthy overweight/obese (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight/obese (MUO) according to normal weight (BMI<25.0) and overweight/obesity (BMI≥25.0) with or without metabolic syndrome.ResultsWe collected 563 hypotestosteronemia among 4,081 male individuals. The odds ratios (ORs) (95% CIs) of hypotestosteronemia in obesity and metabolic syndrome were 3.072 (2.414–3.911) and 3.294 (2.631–4.125), respectively, after adjusting for age, luteinizing hormone, smoking status, and alcohol consumption. Compared to the MHNW group, male subjects in MHO, MUNW, and MUO groups had decreased serum TT levels. Additionally, the MUO group had a lowest concentration of serum TT and a highest proportion of hypotestosteronemia. There was no significant difference of TT levels between the MHO and MUNW groups.ConclusionObesity and metabolic syndrome are independent risk factors of hypotestosteronemia in Chinese male populations. Our study also suggested that individuals with MHO, MUNW, and MUO have a higher risk of developing hypotestosteronemia.

The association between transition from metabolically healthy obesity to metabolic syndrome, and incidence of cardiovascular disease: Tehran lipid and glucose study.

Considering that the data available on the cardiovascular (CV) risk of metabolically healthy obesity phenotype, and the effect of transition to an unhealthy status are inconsistent, the aim of this study was to investigate the possible role of transition to unhealthy status among metabolically healthy overweight/obese (MHO) subjects on CVD incidence over a median follow-up of 15.9 years. In this large population-based cohort, 6758 participants (41.6% men) aged ≥ 20 years, were enrolled. Participants were divided into 4 groups based on their obesity phenotypes and follow-up results, including persistent metabolically healthy normal weight (MHNW), persistent MHO, transitional MHO and metabolically unhealthy overweight/obese (MUO). Metabolic health was defined as not having metabolic syndrome based on the Joint Interim Statement (JIS) criteria. Multivariable adjusted hazard ratios (HRs) were calculated for cardiovascular events. During follow-up, rate of CVD Incidence per 1000 person-years were 12 and 7 in males and females, respectively. Multivariable adjusted HRs (CI 95%) of CVD incidence among males and females were 1.37 (.78-2.41) and .85 (.34-2.15) in persistent MHO group, 1.55 (1.02-2.37) and .93 (.41-2.12) in transitional MHO group and 2.64 (1.89-3.70) and 2.65 (1.24-5.68) in MUO group. Our findings showed that CVD risk did not increase in the persistent MHO phenotype over a 15.9-year follow-up in both sexes. However, transition from MHO to MUO status during follow-up increased the CVD risk just in male individuals. Further studies are needed to provide conclusive evidence in favor of benign nature of transitional MHO phenotype in females.

Schizophrenia patients with a metabolically abnormal obese phenotype have milder negative symptoms

BackgroundSchizophrenia patients with a metabolically abnormal obese (MAO) phenotype have been shown poor cardiovascular outcomes, but the characteristics of their current psychiatric symptoms have not been characterized. This study mainly explored the psychiatric symptoms of schizophrenia patients with the MAO phenotype.MethodsA total of 329 patients with schizophrenia and 175 sex- and age-matched people without schizophrenia from Anhui Province in China were enrolled. The Positive and Negative Syndrome Scale (PANSS) was used to evaluate the mental symptoms of the schizophrenia patients. The MAO phenotype was defined as meeting 1–4 metabolic syndrome criteria (excluding waist circumference) and having a body mass index (BMI) ≥ 28 kg/m2. And, metabolically healthy normal-weight (MHNW) phenotype was defined as meeting 0 criteria for metabolic syndrome and 18.5 ≤ BMI < 24 kg/m2.ResultsOverall, 15.8% of the schizophrenia patients and 9.1% of the control group were consistent with the MAO phenotype, and the prevalence of MAO in the schizophrenia group was higher than that in the control group. Among the patients with schizophrenia, the MAO group had lower negative factor, cognitive factor and total PANSS scores than the MHNW group. However, when confounding factors were controlled, only the negative factor remained lower significantly.ConclusionWe found that schizophrenia patients with the MAO phenotype had reduced negative symptoms, which may indicate an internal mechanism linking metabolic disorders and negative symptoms.Trial registrationThis study was registered in the China Clinical Trial Registration Center (No. chiCTR 1,800,017,044).

Effect of Sarcopenia and Body Shape on Cardiovascular Disease According to Obesity Phenotypes.

BackgroundThis study aimed to assess the effects of sarcopenia and A Body Shape Index (ABSI) on cardiovascular disease (CVD) risk according to obesity phenotypes.MethodsWe used data from the National Health and Nutrition Examination Survey 1999 to 2012. A total of 25,270 adults were included and classified into the following groups: metabolically healthy normal weight (MHNW), metabolically healthy overweight/obese (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy overweight/obese (MUO). Sarcopenia was defined as the appendicular skeletal mass index <7 kg/m2 in men and <5.5kg/m2 in women. A multivariate logistic regression analysis was performed to evaluate the odds ratio (OR) of sarcopenia and ABSI for CVD events according to the obesity phenotype.ResultsThe MHNW participants with sarcopenia had higher risk for CVD than those without sarcopenia (OR, 2.69; 95% confidence interval [CI], 1.56 to 4.64). In the analysis with MHNW participants without sarcopenia as a reference, the participants with sarcopenia showed a higher OR for CVD than those without sarcopenia in both MHO (OR in participants without sarcopenia, 3.31; 95% CI, 1.94 to 5.64) (OR in participants with sarcopenia, 8.59; 95% CI, 2.63 to 28.04) and MUO participants (OR in participants without sarcopenia, 5.11; 95% CI, 3.21 to 8.15) (OR in participants with sarcopenia, 8.12; 95% CI, 4.04 to 16.32). Participants within the second and third tertiles of ABSI had higher ORs for CVDs than the counterpart of obesity phenotypes within the first tertile.ConclusionThese results suggest that clinical approaches that consider muscle and body shape are required.

Metabolically Healthy Obesity and Risk of Incident Chronic Kidney Disease in a Korean Cohort Study

The incident of chronic kidney disease (CKD) of metabolically healthy obesity (MHO) has not been consistently determined. This study used data of Anseong Ansan community-based cohort, a part of the Korean Genome and Epidemiology Study (KoGES) provided by the Korea Center for Disease Control and Prevention (KCDC). Surveys were received from the Anseung and Ansan residents every two years between 2001-2002 and 2015-2016 for a total of 7 surveys over all. The subjects were divided into 4 phenotypes based on the presenting obesity and metabolic syndrome; 1) metabolically healthy normal weight (MHNW), 2) metabolically healthy obesity (MHO), 3) metabolically abnormal normal weight (MANW), and 4) metabolically abnormal obesity (MAO). Data were analyzed using the Cox proportional hazards regression model. Of 8,865 subjects, 1,551 cases of 49,995 person-year (3.1%) developed incident CKD. At an adjusted hazard ratio (HR) of 1.13, the MHO group was not associated with a higher risk of incident CKD (95% confidence interval (CI): 0.92-1.41, P =0.234, using MHNW as the reference). The adjusted HRs of the MANW and MAO groups for incident CKD were significantly higher than those of the MHNW groups: 1.31 (95% CI: 1.05-1.64, P=0.017) for MANW and 1.49 (95% CI: 1.23-1.79, P<0.001) for MAO. MHO is not associated with a high risk of CKD, and that MANW and MAO increase the risk of the incident CKD. Thus, it is important to consider metabolic health status rather than obesity when evaluating CKD risk.

Serum miR-503 is a Candidate Biomarker for Differentiating Metabolic Healthy Obesity from Metabolic Unhealthy Obesity.

PurposeOverweight and obesity are associated with metabolic diseases. However, a subgroup of the overweight/obese population does not present metabolic abnormalities. Hence, there is an urgent need to identify biomarkers that can distinguish different obesity phenotypes and metabolic status.Patients and MethodsA total of 98 individuals were divided into three groups: metabolically healthy normal weight (MHNW), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). Participants were evaluated for anthropometric and biochemical parameters and serum BMPR1A concentration and miR-503 level. Receiver operating characteristic (ROC) curve analysis and logistic regression analysis were performed.ResultsThe level of miR-503 was significantly higher in the MHO group compared with that in the MUO group, but no difference was observed between the MHNW and MHO groups. Meanwhile, no significant differences in serum BMPR1A concentration were observed between the three groups. ROC curve analysis showed that miR-503 could be used as a marker to distinguish the MUO from the MHO. Logistic regression analysis suggested that miR-503 was an important related factor associated with an unhealthy metabolic state in overweight/obese subjects.ConclusionmiR-503 can be considered as a suitable biomarker to distinguish between the MUO and MHO, which may be a related factor for the incidence of metabolic disorders in overweight/obese subjects.

2001-P: Glycemic and Energy Homeostasis Profiles in Women with Different Metabolic Phenotypes of Obesity in Nutritionist Health Study

Objective: To compare components of glycemic and energy homeostasis in women with metabolically healthy normal weight (MHNW) and metabolically unhealthy (MUNW), metabolically unhealthy overweight/obese (MUO) and metabolically healthy (MHO) phenotypes. Methodology: Cross-sectional study with 104 women (18-45 years): 30 MHNW, 17 MUNW, 27 MHO, 30 MUO. Overweight was considered BMI ≥ 25 kg/m² and metabolic health without of changes in blood pressure, glycemic, lipemic levels and cardiovascular disease. The standard mixed meal tolerance test and indirect calorimetry were performed (assessments at -15, 0, 30, 60, 120 and 180 min). The quantifications were: areas under the curve (AUC) for glucose, insulin, C peptide, glucagon and GLP-1; insulin sensitivity (IS) by oral glucose insulin sensitivity index; energy expenditure, respiratory quotient, and carbohydrate and lipid oxidation rate were measured at rest and after oral stimulation. Results: The groups did not differ regarding age and HbA1c levels. IS was decreased in MUO compared to MHNW and MHO (p&amp;lt;0.001). Insulin AUC was lower in MUO compared to MHNW (p=0.02), and C-peptide AUC was increased in MHO and MUO compared to MHNW (p&amp;lt;0.001). Resting energy expenditure was increased in overweight individuals compared to lean individuals (p &amp;lt;0.01). The lipid oxidation rate at time 30 min. was lower in MHNW and MUNW compared to MUO (p &amp;lt;0.01). Conclusion: In young and normoglycemic women, there was lower IS and insulin secretion for the MUO phenotype. The greater rate of lipid oxidation in this group compared to the lean ones may be a reflection of the lower IS, and the inability to switch the use of energy substrate to the higher carbohydrate availability after oral stimulation. BMI is not an ideal indicator of the presence or absence of metabolic health. However, even in MHO individuals’, physiological adaptations may happen to maintain the metabolic parameters within normal range. Disclosure F.B. Ribeiro: None. I. Solar: None. R.G. Freitas: None. A.S. Hanada: None. M.G. Barbosa: None. C.M. Xavier: None. N.S.K. Crouchan: None. V.F.D. Santos: None. B.G. Neto: None. I.T. Silva: None. L.G.D. Folchetti: None. B. Almeida Pititto: None. S.G. Ferreira-Vivolo: None. A.J. Vasques: None. Funding Fundação de Apoio a Pesquisa do Estado de São Paulo (2017/10185-9)

1985-P: The Relationship between Body Shape and Cardiovascular Disease in People with Metabolically Healthy Obesity

Background: Although obesity is a significant risk factor of metabolic disorders, some people have metabolically healthy obesity (MHO). Many studies reported inconsistent results about the development of cardiovascular disease (CVD) in individuals with MHO. This study aimed to evaluate the effect of body shape on CVD outcomes in individuals with MHO. Methods: We analyzed the data of 8,416 participants from the Korean Genome and Epidemiology Study, a 10-year follow-up population-based cohort study. To evaluate the participants’ body shape, we calculated the Z-score of log-transformed A Body Shape Index (LBSIZ) and divided the participants into the following groups: metabolically healthy normal weight (MHNW), MHO, metabolically unhealthy normal weight (MUNW), and metabolically unhealthy obesity (MUO). Then, each group was classified into four subgroups based on the LBSIZ quartile. A multivariate logistic regression analysis was performed to evaluate the effect of LBSIZ for CVD events according to obesity phenotypes. The graphical relationships between LBSIZ and CVD events were also evaluated with restricted cubic spline plots. Results: During the 10-year study period, 696 CVD events occurred in the participants. In the multivariate Cox regression model, MHO individuals did not have an increased risk of CVD compared with MHNW individuals. However, the further analysis with LBSIZ showed that the MHO participants with 3rd and 4th LBSIZ quartiles had a significantly higher hazards ratio for CVD events, whereas those with 1st and 2nd LBSIZ quartiles did not have an elevated risk of CVD compared to the MHNW participants with 1st quartile. In the restricted cubic spline regression, LBISZ showed a linear relationship with CVD events regardless of obesity phenotypes. Conclusion: The MHO individuals with a high quartile of LBSIZ have a significant increased risk for CVD events. Disclosure J. Park: None.

Incidence of diabetes according to metabolically healthy or unhealthy normal weight or overweight/obesity in postmenopausal women: the Women's Health Initiative.

To determine the relationship of metabolic weight categories with incident diabetes mellitus (DM) in postmenopausal women. The Women's Health Initiative (WHI) enrolled 161,808 postmenopausal women aged 50 to 79 years. We included those with cardiovascular disease (CVD) biomarkers and free of CVD and prevalent DM (n = 17,043) at baseline. Normal weight was defined as a body mass index (BMI) ≥18.5 and <25 kg/m, and waist circumference (WC) <88 cm and overweight/obesity as a BMI ≥25 kg/m or WC ≥88 cm. Metabolically healthy was based on <2 and metabolically unhealthy ≥2 traits of the following: triglycerides ≥150 mg/dL, systolic blood pressure (BP) ≥130 mm Hg or diastolic BP ≥85 mm Hg, or antihypertensives or diuretics, fasting glucose ≥100 mg/dL or DM medication, and high-density lipoprotein cholesterol <50 mg/dL. Cox regression was performed to determine the risk of incident DM among metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy overweight/obese (MHO), and metabolically unhealthy overweight/obese (MUHO). Among our sample, 2,253 (13.3%) participants developed DM over a mean ± standard deviation follow-up time of 15.6 ± 3.4 years. Compared with MHNW (n = 162 incident DM cases), an increased risk of incident DM was observed in MUHNW (n = 102 cases) (hazard ratio [HR] 2.24, 95% confidence interval [CI] 1.74-2.88, P < 0.0001), MHO (n = 624 cases) (HR 1.68, 95% CI 1.40-2.00, P < 0.0001), and MUHO (n = 1,365 cases) (HR 4.51, 95% CI 3.82-5.35, P < 0.0001). Among postmenopausal women, MUHNW and MHO confer an approximate doubling in the risk and MUHO more than a four-fold increased risk for developing DM.

Sociodemographic and metabolic risk characteristics associated with metabolic weight categories in the Women's Health Initiative.

The Women's Health Initiative enrolled 161 808 postmenopausal women ages 50-79. We included those free of cardiovascular disease (CVD) and with CVD risk factors and biomarkers (n = 19 412). Normal weight was defined as a BMI ≥18.5 and <25 kg/m2 and waist circumference <88 cm and overweight/obesity as a BMI ≥25 kg/m2 or waist circumference ≥88 cm. Metabolically healthy was based on <2 and metabolically unhealthy ≥2 traits: triglycerides ≥150 mg/dl, systolic blood pressure (BP) ≥130 mmHg or diastolic BP ≥85 mmHg or antihypertensives or diuretics, fasting glucose ≥100 mg/dl or diabetes medication, and high-density lipoprotein cholesterol <50 mg/dl. Polytomous multinomial logistic regression with generalized link logit function provided the odds of metabolically healthy normal weight (MHNW), metabolically unhealthy normal weight (MUHNW), metabolically healthy overweight/obese (MHO), and metabolically unhealthy overweight/obese (MUHO) according to demographic and risk factor measures. Among the 19 412 postmenopausal women, 2369 (12.2%) participants had prevalent diabetes. Advanced age was associated with an increased odds of MUHNW as compared with the MHNW after adjusting for covariates [odds ratio (OR) 1.04, P < 0.0001]. Black/African American ethnicity was associated with a decreased odds of MUHNW (OR 0.64, P < 0.0001) and MUHO (OR 0.77, P = 0.0004), while an increased odds for MHO (OR 1.50, P < 0.0001) as compared with White MHNW. Advanced age and ethnicity are important indicators of metabolic weight categories among postmenopausal women.

Increased incidence of bladder cancer with metabolically unhealthy status: analysis from the National Health Checkup database in Korea

We assessed the association between metabolic health status and the incidence of bladder cancer using nationally representative data from the National Health Insurance System and National Health Checkups (NHC) databases in South Korea. Data for 11,781,768 men who participated in the NHC between 2009 and 2012 were analysed. The normal-weight and physically obese categories were defined as body mass indexes (BMI) < 25 and ≥25 kg/m2, respectively. Metabolically obese was defined as the presence of ≥3 components of metabolic syndrome. The participants were stratified into metabolically healthy, normal-weight (MHNW); metabolically obese, normal-weight (MONW); metabolically healthy, obese (MHO); metabolically obese, obese (MOO). Multivariate-adjusted Cox regression analysis was conducted to examine the association between metabolic health status and the incidence of bladder cancer. The study participants included 17,777 men newly registered with bladder cancer. Analysis according to metabolic health status classification revealed a higher multivariable-adjusted hazard ratio in the MOO, MONW group than in the MHO group (1.307 [95% CI: 1.258–1.358], 1.183 [95% CI: 1.137–1.231] and 1.066 [95% CI: 1.017–1.119], respectively; hazard ratios given relative to MHNW group) We found an association between metabolic health status and the incidence of bladder cancer, with an increasing risk according to the number of metabolic health status components.

Associations between obesity and metabolic health with nonalcoholic fatty liver disease in elderly Chinese

BackgroundNonalcoholic fatty liver disease (NAFLD) is closely associated with obesity. However, this association could be influenced by the coexisting metabolic abnormalities. This study aimed to investigate the role of obesity and metabolic abnormalities in NAFLD among elderly Chinese. MethodsA cross-sectional study was performed among elderly residents who took their annual health checkups during 2016 in Keqiao District, Shaoxing, China. ResultsA total of 3359 elderly adults were retrospectively included in this study. The overall prevalence of NAFLD was 28.7%. The prevalence of NAFLD were 7.14%, 27.92%, 34.80%, and 61.02% in participants with metabolically healthy normal weight (MHNW), metabolically abnormal normal weight (MANW), metabolically healthy obese (MHO), and metabolically abnormal obese (MAO), respectively. NAFLD patients in MHO group had more unfavorable metabolic profiles than those in MHNW group. Logistic regression analysis showed that sex, body mass index (BMI), fasting blood glucose, and serum uric acid were the risk factors of NAFLD. ConclusionsBoth obesity and metabolic health were significantly associated with NAFLD in elderly Chinese. Screening for obesity and other metabolic abnormalities should be routinely performed for early risk stratification of NAFLD.

Abstract P285: Sociodemographic and Metabolic Risk Characteristics Associated with Metabolic Weight Categories in the Women's Health Initiative

Introduction: To identify sociodemographic and metabolic correlates of weight categories in postmenopausal women. Hypothesis: We assessed the hypothesis that postmenopausal women with metabolically unhealthy normal weight (MUHNW), metabolically healthy overweight/obese (MHO), and metabolically unhealthy overweight/obese (MUHO) were more likely to have adverse risk factors as compared to those with metabolically healthy normal weight (MHNW). Methods: The Women’s Health Initiative (WHI) enrolled 161,808 postmenopausal women ages 50-79. We included those free of cardiovascular disease (CVD) and with CVD risk factors and biomarkers (n=19,412). Normal weight was defined as a body-mass index (BMI) ≥18.5 and &lt;25 kg/m 2 and waist circumference (WC) &lt;88 cm and overweight/obesity as a BMI &gt; 25 kg/m 2 or WC &gt; 88 cm. Metabolically healthy was based on &lt;2 and metabolically unhealthy &gt; 2 traits: triglycerides &gt; 150 mg/dl, systolic blood pressure (BP) &gt; 130 mmHg or diastolic BP &gt; 85 mmHg or antihypertensives or diuretics, fasting glucose &gt; 100 mg/dl or diabetes medication, and HDL-cholesterol &lt;50 mg/dl. Multinomial logistic regression with generalized link logit function provided the odds ratio (ORs) of MHNW, MUHNW, MHO and MUHO. Results: The table shows the ORs of risk factors and biomarkers. Among the 19,412 participants, 2,369 (12.2%) had prevalent diabetes and a mean age of 63.3 ± 0.05 (SEM). Advanced age was associated with a greater odds of MUHNW and a lower odds of MHO as compared to the MHNW after adjusting for covariates. African-Americans were associated with a decreased likelihood of MUHNW and MUHO, while Hispanics were associated with a decreased likelihood of MHO and MUHO as compared to MHNW. Low-income had a greater odds of MUHNW, yet high-income had a lower odds of MHO or MUHO. Total cholesterol, insulin and C-reactive protein were associated with a greater odds of MUHNW, MUHO or MHO. Conclusions: Advanced age, ethnicity, income and biomarkers are important indicators of metabolic weight categories among postmenopausal women.

Abstract P528: Normal Weight Metabolic Obesity and Risk of Coronary Artery Disease: The Million Veteran Program

Introduction: Obesity and metabolic dysfunction, individually, are known risk factors of stroke, coronary artery disease (CAD), and mortality. However, few studies have examined the long-term risk for CAD among non-obese people with metabolic dysfunction, and no studies have been conducted for Veterans of the United States. Hypothesis: Veterans who are metabolically obese normal weight (MONW) at baseline have an increased risk of developing CAD compared to metabolically healthy normal weight (MHNW) veterans enrolled in the Million Veteran Program (MVP). Methods: We included MVP participants who had a stable normal body mass index (18.5-25kg/m 2 ) five years prior to enrollment. Metabolic obesity was defined as having three or more of the Adult Treatment Panel III criteria [diabetes, hypertension, low HDL-C (≤40 mg/dl for men, ≤50 mg/dl for women), and high triglycerides (≥150 mg/dl)] at enrollment. CAD was defined as non-fatal myocardial infarction, ischemic heart disease or angina pectoris. Participants with prevalent CAD, major cancers and incomplete lifestyle information were excluded. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for CAD incidence. In secondary analyses, we stratified by sex and race to evaluate possible effect modification. Results: Of the 16,764 people identified as normal weight with complete data, 15% were MONW, 84.5% were male, 84.4% were White and the mean age was 63.1 ± 14.2. Over a median follow up of 3.6 (IQR 1.8-5.2) years, there were 847 incident CAD events observed. MONW individuals had a 64% (95% CI: 40 -91%) higher risk of CAD compared to normal weight individuals, controlling for age, race, sex, education, smoking status, physical activity, alcohol use and diet. In secondary analyses, we observed a nominally higher risk among women who were MONW [HR (95% CI): 2.74 (1.30-5.77) for women vs. 1.60 (1.37-1.88) for men], however the interaction of MONW and sex was not statistically significant (interaction p=0.19). Similarly, the interaction of MONW and race was not statistically significant [1.62 (1.37-1.92) for White, 1.55 (0.97-2.48) for Black, and 2.26 (1.03-4.95) for other, interaction p=0.83)]. Conclusions: MONW Veterans had a higher risk of CAD compared to MHNW Veterans. This risk was magnified in female Veterans and attenuated in White and Black Veterans compared to other races (Asian, Pacific Islander, Native American, other). These findings will need to be validated in future studies.

The Impact of BMI Categories on Metabolic Abnormality Development in Chinese Adults Who are Metabolically Healthy: A 7-Year Prospective Study.

PurposeTo determine what metabolic abnormalities develop frequently among metabolically healthy adults over time according to different baseline body mass index (BMI) categories.Patients and MethodsA prospective cohort study was performed on 10,805 adults, who were metabolically healthy at the time of the 2008 survey. Participants were divided into four groups: metabolically healthy obese (MHO), metabolically healthy overweight (MHOW), metabolically healthy normal-weight (MHN), and metabolically healthy underweight (MHU). Modified Poisson regression models were used to evaluate the relationship of BMI with the development of metabolic abnormalities. Association rule mining was used to identify the most frequent abnormalities that developed over time.ResultsCompared with the MHN group, the adjusted relative risks of the MHO group were 1.57 (95% CI: 1.09–2.27) and 2.08 (95% CI: 1.59–2.73) for developing elevated fasting glucose and elevated blood pressure, respectively, after adjusting for lifestyle behaviours and dietary factors. At the end of follow-up, 33 (19.1%) MHO subjects and 342 (16.6%) MHOW subjects had elevated blood pressure as the predominant metabolic syndrome component, whereas 236 (9.0%) MHU subjects had elevated plasma glucose. The results were similar after stratification by sex.ConclusionMHO and MHOW subjects developed elevated blood pressure most frequently, and MHU subjects developed elevated blood glucose most commonly, regardless of sex.

Are young Iranian women with metabolically healthy obesity at increased risk of CVD incidence?

BackgroundThe association between the Metabolically Healthy Obese (MHO) phenotype in the absence of metabolic syndrome and subsequent cardiovascular disease remains unclear.ObjectivesWe examined the association between MHO and CVD risk in young Iranian women.MethodsWe studied 183 women aged 20-35 years from a population of 308 candidates. We classified participants into 4 phenotypes. We measured body composition, blood pressure, and biochemical factors in all participants.ResultsThe Metabolically Healthy Normal Weight (MHNW) and Normal Weight Obese (NWO) phenotypes had no statistical differences in any biochemistry variables. FBS, TG, LDL/HDL, Cholesterol/HDL, hs-CRP, and atherogenic index of plasma (AIP) were all higher in Metabolically Unhealthy Obese (MUO) than MHO individuals, whereas HDL was higher in MHO than in MUO individuals. LDL/HDL and hs-CRP were higher in MHO participants than MHNW participants, whereas HDL-c was higher in MHNW than MHO.ConclusionsResults of the present study demonstrate that young women displaying the MHO phenotype have a favorable metabolic profile as shown by lower FBS, TG, LDL-c/HDL, Cho/HDL, hs-CRP, and AIP and higher HDL levels than the MUO phenotype. However, MHO individuals were still at greater risk of CVD incidence (lower HDL and higher hs-CRP levels) than MHNW individuals.

The Presence of Urinary Ketones according to Metabolic Status and Obesity.

BackgroundRecently, new concepts about obesity and normal weight subtypes with metabolic conditions are rising and ketone bodies are emerging as a significant indicator of metabolic health. This study aimed to find a relationship between ketonuria and those subtypes.MethodsThe data of 19,036 subjects were analyzed in this cross-sectional study (2013–2017 Korea National Health and Nutrition Examination Survey, KNHANES). Based on body mass index and adult treatment panel III with modification of waist circumference, individuals were categorized into 4 groups: metabolically healthy normal weight (MHNW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy obese (MUO). Individuals were divided into 2 groups, positive and negative ketonuria groups, and the metabolic parameters were compared.ResultsThe metabolic indicators of the positive ketonuria group showed better results than those of the negative ketonuria group and the MHNW group showed the highest proportion of positive ketonuria. The MHNW group showed higher urinary ketones than the MUO group (odds ratio [OR], 0.391; 95% confidence interval [CI], 0.254–0.601) in men. In women, OR of having ketonuria was 0.698 (95% CI, 0.486–1.002) in the MHO group and 0.467 (95% CI, 0.226–0.966) in the MUNW group compared to the MHNW group, respectively.ConclusionCompared to the MHNW group, the MUO group showed lower presence of ketonuria in men, and tendency to have less ketonuria in women.

Metabolically healthy obesity reduces the risk of Alzheimer's disease in elders: a longitudinal study.

A subgroup of overweight/obese individuals, who had favorable metabolic profiles, was termed as metabolically healthy overweight/obese (MHO). Several studies suggested that MHO individuals were not at increased risk of cardiovascular disease and all-course mortality. However, whether MHO is associated with excess risk of Alzheimer’s disease (AD) in elders remains unclear. To explore the risk of AD among MHO phenotype and investigate whether MHO associates with neurodegenerative biomarkers of AD, we assessed body mass index-metabolic status phenotypes of 1199 longitudinal elders from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort using the Adult Treatment Panel-III (ATP- III) criteria. MHO subjects were at a significantly decreased risk for AD (adjusted HR=0.73, 95% CI: 0.54-0.97) compared with metabolically healthy normal weight (MHNW) subjects. In multivariable linear regression models, the cross-sectional associations of MHO with cerebrospinal fluid (CSF) biomarkers, brain Aβ load, and cortical structure were explored. MHO was positively correlated with CSF-Aβ (β=0.746, P=0.015), hippocampal volume (β=0.181, P=0.011), and whole brain volume (β=0.133, P=0.004). The MHO phenotype of the elder conferred a decreased risk of AD and its role may be driven by Aβ.

Physical Activity and Risk of Metabolic Phenotypes of Obesity: A Prospective Taiwanese Cohort Study in More Than 200,000 Adults

ObjectiveTo examine the association between physical activity (PA) and the risk for metabolically unhealthy obesity (MUO) or metabolically healthy obesity (MHO) in Asian adults. Patients and MethodsData were obtained from 205,745 healthy individuals 18 years or older. Individuals were classified as inactive, lower or upper insufficiently active, active, and high active. Metabolically unhealthy was defined as having 1 or more of the metabolic syndrome criteria, excluding the abdominal obesity criterion. ResultsThe percentages of metabolically healthy normal-weight (MHNW), metabolically healthy overweight (MHOW), MHO, and MUO in our cohort were 30.8% (63,408 of 205,745), 5.8% (12,002 of 205,745), 4.1% (8329 of 205,745), and 20.7% (42,564 of 205,745), respectively. During a mean follow-up of 6 (range, 0.5-19) years, among 63,408 MHNW participants, 1890 (3.0%) and 1174 (1.9%) developed MUO and MHO, respectively. Among 12,002 MHOW participants, 3404 (28.4%) developed MUO and 2734 (22.8%) developed MHO. A total of 5506 of 8329 (66.1%) participants moved from MHO to MUO, and 5675 of 42,564 (13.3%) moved from MUO to MHO. Compared with being inactive, MHNW individuals who were active or high active showed lower risk for MUO. Among those with MHOW, being high active was associated with reduced risk for MUO and MHO. Although among MHO participants, PA was not associated with incident MUO, being active or high active was linked to a greater likelihood of moving from MUO to MHO. ConclusionPA may prevent the development of both MHO and MUO. PA also helps increase the transition from MUO to MHO, which may contribute to reduce the subsequent development of type 2 diabetes mellitus and major cardiovascular disease complications.