Metabolically Healthy Obese Women Research Articles

A Bayesian Network Analysis of the Probabilistic Relationships Between Various Obesity Phenotypes and Cardiovascular Disease Risk in Chinese Adults: Chinese Population-Based Observational Study.

BackgroundCardiovascular disease (CVD) risk among individuals with different BMI levels might depend on their metabolic health. The extent to which metabolic health status and BMI affect CVD risk, either directly or through a mediator, in the Chinese population remains unclear.ObjectiveIn this study, the Bayesian network (BN) perspective is adopted to characterize the multivariable probabilistic connections between CVD risk and metabolic health and obesity status and identify potential factors that influence these relationships among Chinese adults.MethodsThe study population comprised 6276 Chinese adults aged 30 to 74 years who participated in the China Health and Nutrition Survey 2009. BMI was used to categorize participants as normal weight, overweight, or obese, and metabolic health was defined by the Adult Treatment Panel-3 criteria. Participants were categorized into 6 phenotypes according to their metabolic health and BMI categorization. The 10-year risk of CVD was determined using the Framingham Risk Score. BN modeling was used to identify the network structure of the variables and compute the conditional probability of CVD risk for the different metabolic obesity phenotypes with the given structure.ResultsOf 6276 participants, 64.67% (n=4059), 20.37% (n=1279), and 14.95% (n=938) had a low, moderate, and high 10-year CVD risk. An averaged BN with a stable network structure was constructed by learning 300 bootstrapped networks from the data. Using BN reasoning, the conditional probability of high CVD risk increased as age progressed. The conditional probability of high CVD risk was 0.43% (95% CI 0.2%-0.87%) for the 30 to 40 years age group, 2.25% (95% CI 1.75%-2.88%) for the 40 to 50 years age group, 16.13% (95% CI 14.86%-17.5%) for the 50 to 60 years age group, and 52.02% (95% CI 47.62%-56.38%) for those aged ≥70 years. When metabolic health and BMI categories were instantiated to their different statuses, the conditional probability of high CVD risk increased from 7.01% (95% CI 6.27%-7.83%) for participants who were metabolically healthy normal weight to 10.47% (95% CI 7.63%-14.18%) for their metabolically healthy obese (MHO) counterparts and up to 21.74% and 34.48% among participants who were metabolically unhealthy normal weight and metabolically unhealthy obese (MUO), respectively. Sex was a significant modifier of the conditional probability distribution of metabolic obesity phenotypes and high CVD risk, with a conditional probability of high CVD risk of only 2.02% and 22.7% among MHO and MUO women, respectively, compared with 21.92% and 48.21% for their male MHO and MUO counterparts, respectively.ConclusionsBN modeling was applied to investigate the relationship between CVD risk and metabolic health and obesity phenotypes in Chinese adults. The results suggest that both metabolic health and obesity status are important for CVD prevention; closer attention should be paid to BMI and metabolic status changes over time.

Differences in body composition between metabolically healthy and unhealthy midlife women with respect to obesity status

Body composition (BC) characteristics across metabolic health-by-body mass index categories were examined. Metabolic health (MH) was defined by five biomarkers: waist circumference, blood pressure, levels of triglycerides, high density lipoprotein cholesterol, and fasting glucose. Potential differences in BC characteristics between metabolically healthy obese (MH-O) and metabolically unhealthy obese (MUH-O) women, and between MH normal weight (MH-NW) and MUH normal weight (MUH-NW) women were explored in 276 Slovak midlife women (39-65 years). Body composition parameters were measured with bioimpedance analyzer (BIA 101, Akern, S. r. l.). A simple comparison of the BC data between the subgroups showed significant differences in resistance (Rz, ohm) (p=0.035), muscle mass (MM, kg) (p=0.044), and total body water (TBW, kg) (p=0.047) between MH-O and MUH-O women. However, we did not observe any significant differences in BC characteristics between MH-NW and MUHNW. Specific logistic regression models were used to determine differences in BC characteristics between various obesity phenotypes, with controlling for age, menopausal status, smoking status and sport activity. Our results indicated that increasing age and decreasing Rz were statistically significantly associated with an increased likelihood of exhibiting MUH-O (p=0.031 for age; p=0.032 for Rz). Moreover, other logistic models which included age, menopausal status, biochemical variables and life style factors such as covariates, showed that increasing alanine aminotransferase (ALT) and uric acid (UA) were statistically significantly associated with an increased likelihood of exhibiting MUH-O (p=0.023 for ALT, p=0.010 for UA). In conclusion, MUH-O and MH-O cardiometabolic profiles are characterized by differences in the value of resistance and plasma levels of ALT and UA.

Comparing an adiposopathy approach with four popular classifications schemes to categorize the metabolic profile of postmenopausal women.

Numerous classifications are used to discern metabolically healthy obese (MHO) from metabolically abnormal obese (MAO) individuals. The goal of this study was to compare a single phenotype approach, adiposopathy (i.e., the plasma adiponectin/leptin ratio), with four commonly used classifications (International Diabetes Federation (IDF), Karelis, Lynch, Wildman), all based on obesity with other risk factors), for their ability to discern phenotypic differences between MAO and MHO postmenopausal women. Anthropometry, body composition, blood pressure, cardiorespiratory fitness (CRF), lipid-lipoprotein, hepatic, inflammatory, and adipokine profiles, as well as glucose-insulin homeostasis, were assessed in 79 obese sedentary postmenopausal women (60 ± 5years; body mass index, BMI, 34.0 ± 3.7kg/m2). Abdominal subcutaneous adipose tissue (SCAT) expression of selected genes involved in fatty acid metabolism and inflammation was used as markers of tissue state (n= 48). Beyond their intrinsic criteria, adiposopathy was almost as effective as the Karelis definition in discerning differences in MHO for adiposity (reduced body weight, BMI, waist circumference, and fat mass), lipid-lipoprotein (lower triacylglycerol and higher HDL-cholesterol levels, reduced atherogenic ratios) and adipokine (higher adiponectin and lower leptin levels) profiles, and glucose-insulin homeostasis (lower insulin resistance) as well as for some SCAT gene expression related to lipolysis and lipogenesis, but was the only one able to distinguish these subjects for greater CRF. The other classifications revealed fewer differences between MAO and MHO women. These data suggest that considering a marker of AT dysfunction such as adiposopathy either alone or in addition to other criteria could be potentially interesting in discerning the MHO phenotype.

Prevalence of polycystic ovary syndrome in a metabolically healthy obese population.

To determine whether polycystic ovary syndrome (PCOS) prevalence is increased among metabolically healthy obese (MHO) women. A national epidemiologic survey in 10 provinces and municipalities of China between October 2007 and September 2011. Women were stratified into four groups according to metabolic health (assessment by Adult Treatment Panel III) and obesity (body mass index [BMI] ≥28): metabolically healthy nonobese (MHNO), metabolically unhealthy nonobese (MUNO), MHO, and metabolically unhealthy obese (MUO). PCOS was diagnosed via Rotterdam Criteria. Participants completed a questionnaire and underwent physical and transvaginal ultrasound examination. BMI, blood pressure, glucose, and lipid profile were measured. The survey included 3551 women. The MHO group had a higher prevalence of PCOS and chronic anovulation versus nonobese groups (all P<0.05). Obesity was a risk factor for PCOS (odds ratio [OR], 2.30; 95% confidence interval [CI], 1.68-3.14, P<0.05). Being metabolically unhealthy was a risk factor for PCOS (OR, 1.32; 95% CI, 1.09-1.60; P<0.05). The MHO group had an increased risk of PCOS relative to the MHNO group (OR, 2.39; 95% CI, 1.42-4.02; P<0.05). MHO women had an increased risk of PCOS and chronic anovulation. Obesity might be an independent risk factor for these two disorders.

Differences in dietary intakes, body compositions, and biochemical indices between metabolically healthy and metabolically abnormal obese Korean women.

BACKGROUND/OBJECTIVESThere are various factors that affect metabolic abnormalities related to obesity. The purpose of this study is to analyze the differences in dietary intakes and body compositions of obese women according to metabolic risks and to classify them as metabolically healthy obese (MHO) or metabolically abnormal obese (MAO).SUBJECTS/METHODSThis study was conducted on 59 obese Korean women aged 19 to 60 years. NCEP-ATPIII criteria were applied and the women classified as MHO (n = 45) or MAO (n = 14). Body composition of each subject was measured by using dual-energy x-ray absorptiometry (DEXA). Three-day food records were used to analyze dietary intake. Eating habits and health-related behaviors were determined through questionnaires. Indirect calorimetry was used to measure resting metabolic rate and respiratory rate.RESULTSThe average age of the subjects was 43.7 years. The analysis of body composition according to phenotype revealed significantly higher body fat mass (P < 0.05), arm fat mass (P < 0.05), and android fat mass (P < 0.05), as measured by DEXA, in the MAO group than in the MHO group. There was no significant difference in the dietary intake of the two groups. However, eating behaviors differed. Compared to the MHO group, the MAO women had a shorter meal time (less than 10 minutes), a preference of oily foods, and a tendency to eat until full. Therefore, the eating habits of MHO women were more positive than those of MAO women.CONCLUSIONSThe results suggest that fat distribution in each body region affects various metabolic abnormalities. A high level of arm fat mass in obese Korean women may increase metabolic risk. In addition, eating habits of obese Korean women are considered to be environmental factors affecting the metabolic phenotype of obese Korean women.

Impact in Plasma Metabolome as Effect of Lifestyle Intervention for Weight-Loss Reveals Metabolic Benefits in Metabolically Healthy Obese Women.

Little is known regarding metabolic benefits of weight loss (WL) on the metabolically healthy obese (MHO) patients. We aimed to examine the impact of a lifestyle weight loss (LWL) treatment on the plasma metabolomic profile in MHO individuals. Plasma samples from 57 MHO women allocated to an intensive LWL treatment group (TG, hypocaloric Mediterranean diet and regular physical activity, n = 30) or to a control group (CG, general recommendations of a healthy diet and physical activity, n = 27) were analyzed using an untargeted 1H NMR metabolomics approach at baseline, after 3 months (intervention), and 12 months (follow-up). The impact of the LWL intervention on plasma metabolome was statistically significant at 3 months but not at follow-up and included higher levels of formate and phosphocreatine and lower levels of LDL/VLDL (signals) and trimethylamine in the TG. These metabolites were also correlated with WL. Higher myo-inositol, methylguanidine, and 3-hydroxybutyrate, and lower proline, were also found in the TG; higher levels of hippurate and asparagine, and lower levels of 2-hydroxybutyrate and creatine, were associated with WL. The current findings suggest that an intensive LWL treatment, and the consequent WL, leads to an improved plasma metabolic profile in MHO women through its impact on energy, amino acid, lipoprotein, and microbial metabolism.

Implications of the Mediterranean diet and physical exercise on the lipid profile of metabolically healthy obese women as measured by nuclear magnetic resonance spectroscopy (1H NMR)

ObjectiveThere is a lack of consensus when it comes to establishing the biochemical parameters that define metabolically healthy obese (MHO) subjects. Indeed, most studies do not include subjects’ lipid profiles. Our objective was to characterize lipoprotein size, particle and subclass concentration using 1H NMR in MHO women after two years of weight loss with a hypocaloric Mediterranean diet and physical exercise. Methods115 non-diabetic women (aged 35–55 years) with a body mass index (BMI) of 30–40 kg/m2 and ≤1 of the following criteria: blood pressure ≥135/85 mmHg, fasting plasma glucose ≥100 mg/dL, HDL cholesterol ≤50 mg/dL and triglycerides ≥150 mg/dL were included. After two years of intensive lifestyle modification (Mediterranean diet and physical exercise), they were classified according to their weight loss: <5%, ≥5%-<10% and ≥10%. Lipoprotein size, particle and subclass concentrations were measured using 1H NMR. ResultsThe final population, after dropouts, were 67 women (age: 44.5 ± 3.7 years, BMI: 36.3 ± 4.7 kg/m2), of whom 23 (38.3%) lost <5%, and 22 (36.7%), lost ≥5% to <10% and ≥10% of baseline body weight, respectively. The lipid profile showed no significant changes after intervention, especially in small LDL particles or in production of HDL. The diameter of LDL and HDL particles did not change after two years of a Mediterranean diet and physical exercise. ConclusionThese results indicate that intensive lifestyle modification does not produce significant changes in the lipid profile of MHO women. Levels of more atherogenic or atheroprotective particles did not change after two years, despite the intervention.

Is it Possible to Easily Identify Metabolically Healthy Obese Women?

Background: Obesity is recognized as a major risk factor for the development of several metabolic complications. However, some obese individuals have a favorable metabolic profile.Objective: The aim of this study was to identify an easy parameter for recognizing metabolically healthy obese (MHO) women.Methods: A total of 292 non-diabetic women with a body mass index (BMI) ≥ 30 kg/m2 were selected, and 239 composed the final cohort. We classified the participants according to their metabolic state determined by homeostasis model assessment (HOMA) into MHO or metabolically unhealthy obese (MUO). Both groups were compared regarding biochemical, anthropometric, and body composition characteristics.Results: The average age of the cohort was 43.9 ± 10.9 years and the average BMI was 37.2 ± 5.3 kg/m2. In total, 75.7% of the participants were classified as MHO by HOMA. A cutoff of 108.2 cm for waist circumference (WC) identified MHO participants with a sensitivity of 72.4% (95% confidence interval [CI]: 59.8-82.3%), specificity of 66.9% (95% CI: 59.71-73.3%), and negative likelihood ratio of 0.41 (95% CI: 0.36-0.47). Additionally, a visceral adiposity index cutoff value of 99.2 identified MHO women with a sensitivity of 89.7% (95% CI: 79.2-95.2%), specificity of 48.6% (95% CI: 41.4-55.9%), and negative likelihood ratio of 0.21 (95% CI: 0.15-0.30).Conclusion: Women classified as MHO exhibited smaller WC measurements and lower body fat percentages, as well as lower blood glucose and insulin levels. WC emerged as an easy parameter for identifying MHO women.

Implication of the mediterranean diet and physical exercise on the lipid profile based on 1H-NMR spectroscopy of metabolically healthy obese women (MHO)

Implication of the mediterranean diet and physical exercise on the lipid profile based on 1H-NMR spectroscopy of metabolically healthy obese women (MHO)

Characterization of lipid profile by nuclear magnetic resonance spectroscopy (1H NMR) of metabolically healthy obese women after weight loss with Mediterranean diet and physical exercise.

Obesity is associated with an atherogenic lipid profile. No data exists on lipoprotein particle profiles in metabolically healthy obese (MHO) individuals. Our aim is to characterize lipoprotein size, particle, and subclass concentrations in MHO women after 3 months of weight loss through dietary restriction and physical exercise.A total of 115 nondiabetic women (aged 35–55 years) with a body mass index (BMI) of 30 to 40 kg/m2 and ≤1 of the following criteria: blood pressure ≤135/85 mm Hg, fasting plasma glucose ≤100 mg/dL, HDL-cholesterol ≤50 mg/dL, and triglycerides ≤150 mg/dL were included. After 3 months of intensive lifestyle modification (Mediterranean diet and physical exercise), they were classified according to their weight loss: <5%, ≥5% to <10%, and ≥10%. Lipoprotein size, particle, and subclass concentrations were measured using 1H NMR.The final sample, after dropouts, comprised 104 women (age: 44.4 ± 3.7 years, BMI: 36.3 ± 4.7 kg/m2), of whom 47 (45.2%), 27 (26%), and 30 (28.8%) lost <5%, ≥5% to <10%, and ≥10% of baseline body weight, respectively. All participants experienced significant weight loss and decreases in BMI. The lipid profiles showed an increase in small, medium, and large very low density lipoprotein (VLDL) particles in all groups of study with the exception of small VLDL particles in women with ≥10% of weight loss, in which it decreased. The number of VLDL particles decreased in women who had ≥10% weight loss. On the other hand, we detected a decrease in all low density lipoprotein (cLDL) and high density lipoprotein (cHDL) concentrations.These results indicate that intensive lifestyle modification alters lipid profiles. In particular, it decreases small LDL and HDL particle numbers and does not increase medium or large HDL particles numbers.

Metabolically healthy obese women have longer telomere length than obese women with metabolic syndrome.

IntroductionObesity is the principal component in the Metabolic Syndrome (MetS) that determines the progression of metabolic complications. Metabolically healthy obese (MHO) individuals seem to be protected against those complications. Telomere length (TL) as a novel marker of cellular aging had a complex relationship to the MetS. The principal aim of this study was to investigate the TL in MHO, and to study the association between TL and the worsening of the metabolic condition.Material and methodsWe have determined the absolute TL (aTL) in 400 women (mean age of 46.76 ± 15.47 years; range: 18–86 years), grouped according to the metabolic condition in three groups: metabolically healthy non-obese women (MHNO), MHO and obese women with MetS (MSO); and grouped according to the number of components of MetS.ResultsWe found that MHO displays significantly higher aTL than MSO (p = 0.033; r = -4.63; 95% CI r = -8.89 / -0.37), but did not differ from MHNO. A decrease in aTL with the progressive increase in the number of MetS components was also observed (p < 0.001; r = -2.06; 95% CI r = -3.13 / -0.99). In this way, our results indicate that aTL is influenced by the presence of MetS, but it is not affected by the presence of obesity.DiscussionWe found that shorter aTL is not associated with MHO, but is related to MetS and with the increased number of metabolic abnormalities.

Prevalence of polycystic ovary syndrome in Chinese obese women of reproductive age with or without metabolic syndrome

To compare the prevalence of polycystic ovary syndrome (PCOS) and related clinical characteristics between metabolically unhealthy obese (MUO) and metabolically healthy obese (MHO) women of reproductive age. Cross-sectional clinical study. Tertiary hospital. We studied 299 MUO and 122 MHO Chinese women matched on body mass index. Metabolically healthy obese was defined as obesity with no more than one metabolic abnormality. Diagnosis of PCOS was based on the revised Rotterdam criteria. Each subject underwent physical examination, laboratory evaluation, and gynecologic ultrasound for a diagnosis of PCOS or metabolic syndrome (MetS). Prevalence of PCOS was calculated in both groups. Insulin resistance was determined by homeostasis model assessment of insulin resistance or by the insulin sensitivity index derived from Bergman's minimal model. Fat distribution was measured with computerized tomography scan. Prevalence of PCOS and its components did not differ between MUO and BMI-matched MHO groups (67.89% and 66.96%, respectively). In logistic regression analysis, MetS did not predict the presence of PCOS after adjusting for confounding factors. The MHO group had lower visceral adipose tissue, relatively higher insulin sensitivity, and better β-cell function, compared with those in the MUO group; but there were no significant differences in sex hormones (except for free T and sex hormone-binding globulin) and ultrasound manifestations between MHO and MUO women. For the first time, our findings suggest that MetS does not add additional risk for PCOS. In addition, we found that both MUO and MHO are associated with insulin resistance to some extent.

Lipid accumulation product (LAP) as a criterion for the identification of the healthy obesity phenotype in postmenopausal women

Obesity and its complications constitute a major health problem in postmenopausal women. The identification of the obesity phenotype, especially that of metabolically healthy obese (MHO) patients, is a necessary part of obesity treatment protocols. There are several methods to define MHO, but unfortunately, all of them are arbitrary and inconsistent. The aim of this work was to determine whether lipid accumulation product (LAP) could be used as a marker of the MHO phenotype in postmenopausal women. A sample of 345 Polish postmenopausal women aged 50–60years old participated in the study. Participants were classified as obese when their BMI was >27. Receiver operating characteristic curve analysis was performed to estimate the best cutoff for the LAP index value to identify postmenopausal women without metabolic syndrome components. We found that the best cutoff value was LAP ≤29.9, and this value was used to define MHO individuals. With this definition, the identification of MHO individuals could be made when both of the following criteria were met: LAP index ≤29.9 and no arterial hypertension (SBP<130mmHg, DBP<85mmHg). The anthropometric and body fat distribution measurements, as well as the metabolic characteristics of MHO women identified according to the above definition, were compared with those of MHO women identified by two other methods in the literature. These methods and our definition identified similar proportions of MHO women ranging from 11.6% to 16.9%. We found that MHO women identified by all of the definitions used in this study possessed a similar metabolic status, and they did not differ in anthropometric indices or body fat distribution measurements. We concluded that the combination of LAP estimation and arterial blood pressure measurement appear to constitute a useful method for identifying the MHO phenotype in postmenopausal women.

Influences of body size phenotype on the incidence of gestational diabetes needing prescription; analysis by Korea National Health Insurance (KNHI) claims and the National Health Screening Examination (NHSE) database

ObjectivesAlthough growing evidence has emphasized the pivotal role of metabolic status irrespective of body mass index (BMI), there has been no study to examine the association of body size phenotype with development of gestational diabetes that requires treatment with oral hypoglycemic agent or insulin (GDM+T) in primiparas. MethodsData from a total of 216,961 women who participated in the National Health Screening Examination (NHSE) between January 2007 and December 2011 and delivered their first babies within two years of the NHSE were analyzed. Body size phenotypes were classified according to body mass index (BMI) and the presence/absence of metabolic syndrome according to the results of the NHSE. GDM+T was identified using the International Classification of Diseases-10th Revision (ICD-10) and prescription codes using Korea National Health Insurance (KNHI) claims. ResultsApproximately 0.39% of primiparas developed GDM+T. Compared to metabolically healthy normal weight (MHNW) women, both metabolically unhealthy normal weight (MUNW) and metabolically healthy obese (MHO) women had a significantly increased risk for developing GDM+T (odds ratio, OR: 9.53, 95% confidence interval, CI: 5.64–16.09 and OR: 3.30, 95% CI: 2.56–4.25, respectively). Specifically, MUNW individuals had a significantly higher risk of GDM+T when directly compared to MHO women even after adjusting for other GDM risk factors (OR: 2.92, 95% CI: 1.67–5.10). Furthermore, underweight women with metabolic syndrome showed a significantly increased frequency of GDM+T compared to MHNW subjects (OR: 8.87, 95% CI: 1.19–66.32). ConclusionsPre-pregnant metabolic status is critical for development of GDM+T, regardless of their BMI. Therefore, intensive intervention for the components of metabolic syndrome may be helpful for the prevention of GDM+T even in low or normal weight women.

Abstract P301: Adipocytokines and Vitamin D in a Biracial Sample of Young Metabolically Healthy Obese and Metabolically Abnormal Obese Women

Purpose: Adipocytokines and vitamin D (vitD) concentrations may contribute to cardiometabolic risk profiles in obese populations. To address this potential relationship we assessed levels of adipocytokines and vitD concentrations between young metabolically healthy obese (MHO) and metabolically abnormal obese (MAO) black and white women. Methods: Project Health included 46 overweight/obese young women (BMI ≥25 kg/m2, age=19-35 years, 61% Black). Women were classified as MHO (&lt;2 abnormal cardiometabolic risk factors) or MAO (≥2 abnormal cardiometabolic risk factors) based on: blood pressure ≥130/85 mmHg; triglycerides ≥150 mg/dL; HDL-C &lt;50 mg/dL; glucose ≥100 mg/dL; CRP ≥90th %tile; HOMA-IR ≥90th %tile). Serum levels of high sensitivity C-reactive protein (CRP) were measured by an immunoturbidimetric assay; levels of interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α) by an electrochemiluminescence immunoassay; adiponectin by an enzyme-linked immunosorbent assay; and 25-hydroxyvitamin D (vitD) by a radioimmunoassay. Total body fat was measured by dual x-ray absorptiometry. Pearson correlations were used to test the associations between body fat and serum measures. T-tests and linear regression (adjusting for race and body fat) were used to examine differences between MHO and MAO. Results: Compared to MAO (n=9, 20%), MHO (n=37; 80%) had significantly lower BMI values (MHO: 30.5±3.5; MAO: 34.3±3.9 kg/m2, p=0.004), but there was no significant difference in body fat (mean in total sample: 45.3±6.2%). CRP concentration was significantly associated with higher body fat (%) in MAO (r=0.78, p=0.007), but this relationship was not significant in MHO. IL-6, TNF-α and vitD were not significantly correlated with percent body fat in either MHO or MAO. Compared to MHO, MAO had significantly higher CRP levels (log mg/L MHO: 0.82±1.2 vs. MAO 1.8±0.9, p=0.01); and significantly lower adiponectin levels (log ng/mL MHO: 9.7±0.5 vs. MAO 9.0±0.3; p=0.0004). These differences remained significant after adjusting for race and body fat. There were no significant differences between MHO and MAO for IL-6, TNF-α or VitD levels. Conclusion: Compared to MHO, young women who are MAO have higher levels of CRP and lower levels of adiponectin even after controlling for potential confounders. Our findings suggest that chronic inflammation may play an important role in the mechanism of abnormal cardiometabolic risk as it differentiates young MHO and MAO women.

HEART RATE VARIABILITY IN METABOLICALLY HEALTHY AND METABOLICALLY UNHEALTHY OBESE PREMENOPAUSAL WOMEN.

Metabolically healthy obese (MHO) individuals are characterized by absence of metabolic syndrome. The role of autonomic nervous system in metabolic profile of obese subjects has not been sufficiently investigated. We analyzed heart rate variability (HRV) in MHO and metabolically unhealthy obese (MUO) premenopausal women. In 42 women metabolic profile was defined as MHO and MUO. For metabolic profile Wildman, IDF and HOMA-IR criteria were used. Autonomic nervous system activity was assessed by analysis of heart rate variability. There was no significant difference in HRV between MHO and MUO premenopausal women. In Wildman division, after adjustment for systolic blood pressure, RRNN and LF/HF were statistically different between groups (p=0.0001; p=0.029). In IDF division, adjusting for waist circumference, LF was significantly different between groups (p=0.004). In HOMA division, adjusting for HOMA, groups were different in SDNN (p=0.009), RMSSD (p=0.002), pNN50 (p=0.003), HF(p=0.002) and TP (p=0.005). Autonomic nervous system does not share the leading role in premenopausal women metabolic profile. The differences in HRV between MHO and MUO women depend on the metabolic health criteria. Systolic blood pressure, HOMA and waist circumference have significant effect on HRV differences between MHO and MUO premenopausal women.

Healthy eating index and metabolically healthy obesity in U.S. adolescents and adults

ObjectiveTo determine whether dietary quality differs between metabolically-healthy-obese (MHO) and metabolically-abnormal-obesity (MAO) in a nationally representative sample. MethodsNational Health and Nutrition Examination Survey (NHANES) data (2007–2008; 2009–2010) were used to identify obese adolescents (≥95th body mass index (BMI) %tile) and adults (≥30kg/m2). MHO was defined as <2 abnormal cardiometabolic risk factors (elevated blood pressure, triglycerides, glucose, low high density lipoprotein cholesterol (HDL-C); or on medications). Healthy Eating Index 2005 (HEI-2005) scores were calculated from 24-hour recall data. General linear regression models determined whether HEI-2005 scores differed between MHO and MAO after controlling for age, race, gender, NHANES wave, BMI, physical activity and health status by age group (12–18; 19–44; 45–85years). ResultsCompared with MAO, MHO adolescents (n=133) had higher total HEI-2005 score, higher milk scores, and higher scores from calories from solid fats, alcohol beverages and added sugars. MHO women 19–44years (n=240) had higher total HEI-2005, higher whole fruit, higher whole grain and higher meat and bean scores compared with MAO. No significant differences were observed between MHO and MAO for HEI-2005 total scores in men 19–44years, or adults 45–85years. ConclusionMHO adolescents and women 19–44years have better dietary compliance to the U.S. guidelines when compared with MAO, suggesting potential intervention targets to improve cardiometabolic risk within obesity.

Carotid Intima Media Thickness Is Independently Associated with Male Gender, Middle Age, and IGF-1 in Metabolically Healthy Obese Individuals

Background/Aims. The effect of benign obesity on subclinical cardiovascular disease is still questionable. The purpose of this study was to assess carotid intima media thickness (CIMT), as a marker of subclinical atherosclerosis, and to evaluate its relation to age, sex, and IGF-1 in metabolically healthy obese (MHO) subjects. Methods. A total of 75 MHO subjects and 80 age, and sex matched healthy nonobese control subjects were included in the study. Body mass index (BMI), waist circumference (WC), blood pressure, fasting plasma glucose, fasting insulin, HOMA-IR, lipid profile, insulin like growth factor-1 (IGF-1), and CIMT were assessed in all subjects. Results. MHO subjects had significantly higher CIMT and lower IGF-1 than healthy nonobese controls. Mean CIMT was significantly higher in MHO men age subgroup range from 30 to 50 years than in their age range matched (premenopausal) MHO women subgroup. In MHO subjects, CIMT was positively correlated with age, BMI, WC, SBP, HOMA-IR, TG, and LDL-C, and negatively correlated with IGF-1. Regression analysis revealed that middle age, male sex and IGF-1 remained independently associated with CIMT in MHO subjects. Conclusion. CIMT is elevated and IGF-1 is reduced in MHO subjects, and CIMT is independently associated with male gender, middle age, and IGF-1. Definition of healthy obesity may be broadened to include IMT measurement.

Differences in body composition between metabolically healthy obese and metabolically abnormal obese adults

Potential differences in body composition between metabolically healthy obese (MHO) and metabolically abnormal obese (OA) adults were explored with 395 obese adults from the Pennington Center Longitudinal Study (18-68 years). Adults were classified as OA (≥2 risk factors: blood pressure ≥130/85 mmHg; triglycerides ≥150 mg dl(-1); high-density lipoprotein cholesterol: men <40, women <50 mg dl(-1); fasting glucose ≥100 mg dl(-1); waist circumference: ≥102 cm men, women ≥88 cm) or MHO (<2 risk factors). Whole-body bone mineral density and content, percent body fat, fat mass, lean mass and trunk adipose tissue mass were measured with dual-energy X-ray absorptiometry. Visceral (VAT), subcutaneous (SAT) and total abdominal adipose tissue (TAT) were measured with computed tomography. Gender-specific general linear regression models were used to determine differences in body composition between MHO and OA controlling for age, race, smoking status and menopause status. In men, MHO had lower fat mass (kg and %), trunk adipose tissue, VAT, SAT, TAT and lean mass compared with OA. MHO women had lower fat mass (kg), lean mass, trunk adipose tissue, VAT and TAT when compared with OA women. In conclusion, OA and MHO cardiometabolic profiles are characterized by differences in body composition consistent between genders.

Abstract MP81: Differences in Body Composition Between Metabolically Healthy Obese and Metabolically Abnormal Obese Phenotypes

Purpose: Studies of body composition between metabolically healthy obese (MHO) and metabolically abnormal obese (OA) cardiometabolic profiles have been limited to mostly small sample sizes and postmenopausal women. Thus, the purpose is to determine whether measures of body composition differ between MHO and OA using men and women across a wide age range. Methods: The sample included 395 obese (≥30 kg/m 2 ) adults (66% women; 62% white, 38% African American) from the Pennington Center Longitudinal Study, 18-68 years of age (mean±SD: 40.6±13.2). Adults were classified as OA (≥2 cardiometabolic risk factors: blood pressure ≥130/85 mmHg; triglycerides ≥150 mg/dL, high density lipoprotein cholesterol men &lt;40, women &lt;50 mg/dL; fasting glucose ≥100 mg/dL) or MHO (&lt;2 cardiometabolic risk factors). Whole-body bone mineral density (BMD; g/cm 2 ), bone mineral content (BMC; kg), percent body fat (%), fat mass (kg), lean mass (kg) and trunk adipose tissue mass (kg) were measured with dual-energy x-ray absorptiometry. Visceral (VAT; cm 2 ), subcutaneous (SAT; cm 2 ), and total abdominal adipose tissue (TAT; cm 2 ) were measured with computed tomography. Non-normally distributed variables were log transformed for analysis (lean mass, VAT, BMD and BMC) but means were reverse-transformed for presentation of results. Gender-specific general linear regression models (men: n=136; women: n=259) were used to determine differences in body composition between MHO (men: n=57; women n=153) and OA (men: n=79; women n=106) controlling for age, race, smoking status, and menopause status (in women). Results: In men, OA had greater fat mass (OA vs. MHO mean±SE; p-value for difference: 31.4±1.2 vs. 28.6±1.2 kg; p=0.02) and greater trunk adipose tissue (16.5±0.7 vs. 14.3±0.8 kg; p=0.002) compared with MHO, but no significant differences between MHO and OA profiles for BMD, BMC, % fat, lean mass, VAT, SAT, or TAT. Women with OA profiles had greater lean mass (54.4±1.0 vs. 51.5±1.0 kg; p&lt;0.0001), greater VAT (119.4±1.1 vs. 95.7±1.1 cm 2 ; p&lt;0.0001) and greater trunk adipose tissue (18.0±0.5 vs. 17.1±0.5 kg; p=0.03) when compared with MHO women, with no significant differences between MHO and OA for BMD, BMC, % fat, fat mass, SAT or TAT. Conclusion: OA and MHO cardiometabolic profiles are characterized by differences in body composition that vary by gender. Men have differences in overall and trunk adipose tissue while women have differences in lean mass and centralized fat (VAT and trunk). Future studies should confirm these results in different race and age groups.