Do metabolically healthy obese individuals have the same mortality and morbidity risks as normal-weight metabolically healthy individuals?

2018 ◽  
Vol 21 (1) ◽  
pp. E7-E9
Author(s):  
Christine Jacobs ◽  
Sheran Fernando
Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Sae Young Jae ◽  
Mercedes Carnethon ◽  
Won Hah Park ◽  
Bo Fernhall

There is conflicting evidence regarding the association between metabolically healthy obese (MHO) and metabolically unhealthy normal weight (MUNW) with incident hypertension and type 2 diabetes. The role of cardiorespiratory fitness on these associations has not been fully explored. We tested the hypothesis that obesity phenotypes predict incident hypertension and type 2 diabetes, but cardiorespiratory fitness modifies these associations in a prospective study of apparently healthy men. 3800 men (mean age 48±6 yrs, range 20-76 yrs) participated in two health examinations during 1998-2009. All subjects were free of hypertension and type 2 diabetes at baseline examination. MHO was defined as obesity (body mass index ≥ 25 kg/m2) with no more than one metabolic abnormality, and MUNW was defined as body mass index < 23 kg/m2) with two or more abnormalities. Cardiorespiratory fitness was directly measured by peak oxygen uptake during a treadmill test. Incident hypertension and type 2 diabetes were defined as blood pressure ≥140/90mmHg and as ≥6.5% of HbA1c or ≥126mg/dl of fasting glucose at second examination, respectively. During an average follow-up of 5 years (1-12 yrs), there were 371 (9.8%) men incident hypertension and 170 (4.5%) men incident type 2 diabetes. MHO and MUNW were present in 844 (22%) and 249 (6.6%) men. Compared with metabolically healthy normal weight men, MHO and MUNW men were at increased risk for hypertension (relative risk (RR) =1.82, 95% Confidence Interval (CI): 1.29-2.56 and 1.75, 1.11-2.74) and type 2 diabetes (RR=3.68, 1.92-7.07 and 5.35, 2.61-10.94), respectively. These risks in MHO and MUNW men were still persisted with adjustment for confounder variables and cardiorespiratory fitness (hypertension=1.57, 1.05-2.34 and 1.59, 1.01-2.51; type 2 diabetes=3.35, 1.63-6.89 and 4.76, 2.32-9.77). Metabolically healthy obese or metabolically unhealthy normal weight men were at increased risk of hypertension and type 2 diabetes compared with metabolically healthy normal weight men. However, these associations were not attenuated by cardiorespiratory fitness or other confounder factors.


2011 ◽  
Vol 58 (13) ◽  
pp. 1343-1350 ◽  
Author(s):  
Christina Voulgari ◽  
Nicholas Tentolouris ◽  
Polychronis Dilaveris ◽  
Dimitris Tousoulis ◽  
Nicholas Katsilambros ◽  
...  

2013 ◽  
Vol 33 (suppl_1) ◽  
Author(s):  
Lara L Roberson ◽  
Shozab A Siddiqui ◽  
Michael J Blaha ◽  
Arthur A Agatston ◽  
Roger S Blumenthal ◽  
...  

BACKGROUND Obese and overweight individuals have been shown to be at higher risk of CVD events than normal weight individuals. Current literature has elucidated a new phenotype, Metabolically Healthy Obese (MHO), with risks of CVD similar to that of normal weight individuals. Few studies have examined the MHO phenotype in an aging population, especially in association with subclinical cardiovascular disease. METHODS The cross sectional study population consisted of 208 individuals (79% Female), age 80 and older (mean age 84±4, range 80-102). Anthropometrics & biochemical parameters were measured. The Adult Treatment Panel definition of metabolic syndrome (MetS), excluding waist circumference, criteria was used to define metabolically healthy (<3 MetS components) versus unhealthy. A combination of BMI and waist circumference were used to define normal weight and overweight/obese. Multidetector-row cardiac CT for coronary artery calcium score (CACS) was used to detect subclinical atherosclerosis. High reactive C reactive protein (hs-CRP) was measured to assess degree of underlying inflammation. RESULTS The prevalence of MHO defined by BMI≥25 kg/m2 &/or waist circumference >88cm in women, >102cm in men & having 3mg/dl, Uric Acid >6 mg/dl (p=NS). Gender, total cholesterol, HDL, LDL, triglycerides, and SBP was significantly associated with MHO (p<0.05). CONCLUSIONS Our results suggest that the MHO phenotype is still seen in octogenarians, but at lower rates than in the general population suggesting MHO may not simply be an intermediary stage, driven by length of spent in the obese state. Those with this phenotype tended to have lower triglycerides, higher HDL, and lower body fat % than their metabolically at risk obese counterparts (p<0.05), however, degree of subclinical CVD was not different. Further studies are needed to explore the related risk of CVD among MHO octogenarians.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xin Yuan ◽  
Ruimin Chen ◽  
Kenneth L. McCormick ◽  
Ying Zhang ◽  
Xiangquan Lin ◽  
...  

Abstract Background The term “metabolically healthy obese (MHO)” denotes a hale and salutary status, yet this connotation has not been validated in children, and may, in fact, be a misnomer. As pertains to obesity, the gut microbiota has garnered attention as conceivably a nosogenic or, on the other hand, protective participator. Objective This study explored the characteristics of the fecal microbiota of obese Chinese children and adolescents of disparate metabolic statuses, and the associations between their gut microbiota and circulating proinflammatory factors, such as IL-6, TNF-α, lipopolysaccharide-binding protein (LBP), and a cytokine up-regulator and mediator, leptin. Results Based on weight and metabolic status, the 86 Chinese children (ages 5–15 years) were divided into three groups: metabolically healthy obese (MHO, n = 42), metabolic unhealthy obese (MUO, n = 23), and healthy normal weight controls (Con, n = 21). In the MUO subjects, the phylum Tenericutes, as well as the alpha and beta diversity, were significantly reduced compared with the controls. Furthermore, Phylum Synergistetes and genus Bacteroides were more prevalent in the MHO population compared with controls. For the MHO group, Spearman’s correlation analysis revealed that serum IL-6 positively correlated with genus Paraprevotella, LBP was positively correlated with genus Roseburia and Faecalibacterium, and negatively correlated with genus Lactobacillus, and leptin correlated positively with genus Phascolarctobacterium and negatively with genus Dialister (all p < 0.05). Conclusion Although there are distinct differences in the characteristic gut microbiota of the MUO population versus MHO, dysbiosis of gut microsystem is already extant in the MHO cohort. The abundance of some metabolism-related bacteria associates with the degree of circulating inflammatory compounds, suggesting that dysbiosis of gut microbiota, present in the MHO children, conceivably serves as a compensatory or remedial response to a surfeit of nutrients.


2013 ◽  
Vol 7 (1) ◽  
pp. 71
Author(s):  
M.R. Bernal-López ◽  
F. Miralles-Linares ◽  
J. Wärnberg ◽  
J. Mancera-Romero ◽  
A.J. Baca-Osorio ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jae-Min Park ◽  
Da-Hyun Park ◽  
Youhyun Song ◽  
Jung Oh Kim ◽  
Ja-Eun Choi ◽  
...  

AbstractUnderstanding the mechanisms underlying the metabolically unhealthy normal weight (MUHNW) and metabolically healthy obese (MHO) phenotypes is important for developing strategies to prevent cardiometabolic diseases. Here, we conducted genome-wide association studies (GWASs) to identify the MUHNW and MHO genetic indices. The study dataset comprised genome-wide single-nucleotide polymorphism genotypes and epidemiological data from 49,915 subjects categorised into four phenotypes—metabolically healthy normal weight (MHNW), MUHNW, MHO, and metabolically unhealthy obese (MUHO). We conducted two GWASs using logistic regression analyses and adjustments for confounding variables (model 1: MHNW versus MUHNW and model 2: MHO versus MUHO). GCKR, ABCB11, CDKAL1, LPL, CDKN2B, NT5C2, APOA5, CETP, and APOC1 were associated with metabolically unhealthy phenotypes among normal weight individuals (model 1). LPL, APOA5, and CETP were associated with metabolically unhealthy phenotypes among obese individuals (model 2). The genes common to both models are related to lipid metabolism (LPL, APOA5, and CETP), and those associated with model 1 are related to insulin or glucose metabolism (GCKR, CDKAL1, and CDKN2B). This study reveals the genetic architecture of the MUHNW and MHO phenotypes in a Korean population-based cohort. These findings could help identify individuals at a high metabolic risk in normal weight and obese populations and provide potential novel targets for the management of metabolically unhealthy phenotypes.


2021 ◽  
Author(s):  
Zimin Song ◽  
Meng Gao ◽  
Jun Lv ◽  
Canqing Yu ◽  
Yu Guo ◽  
...  

Objectives: To prospectively assess the association of metabolic health status and its transition with incident diabetes risk across body mass index (BMI) categories. Design: Cohort study based on the China Kadoorie Biobank (CKB) Methods: The CKB study enrolled 512,715 adults aged 30-79 years from 10 diverse areas in China during 2004-2008. After exclusion, 432,763 participants were cross-classified by BMI categories and the metabolic status during followed-up for incident diabetes disease. The changes in BMI and metabolic health status were defined from baseline to the second resurvey. Results: Type 2 diabetes risk is higher for metabolically healthy obese (MHO) subjects than metabolically healthy normal weight (MHN) individuals (HR: 3.97, 95% CI: 3.64-3.66), and it is highest for those affected by metabolically healthy obese (MUO) (HR: 6.47, 95% CI: 6.17-6.79). About 15.26% of participants with MHN converted to metabolically healthy overweight or obesity (MHOO), whereas 48.40% of MHOO remained unconverted throughout the follow-up. In obese or overweight people, the conversion from metabolically healthy to unhealthy might increase the chances of developing diabetes as compared to those with a stable metabolic healthy state (HR: 3.70, 95% CI: 2.99-4.59), while those with persistent metabolic disorders are most likely to have diabetes (HR: 8.32, 95% CI: 7.08-9.78). Conclusions: Metabolic healthy is a transient state, and individuals converted from metabolically healthy status to unhealthy phenotypes across all BMI categories might raise the risk of diabetes.


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