ABSTRACT
Objective:To explore whether metabolically healthy obesity(MHO) is a healthy state by observing the incidence of metabolic syndrome(MS) including its components and cardiovascular disease(CVD) in this population.Methods:In 2011, a cohort of 10 140 residents aged 40-79 years old was selected with cluster sampling in the Guiyang urban area. Fasting plasma glucose(FPG), blood lipids, and blood pressure were examined to assess their metabolic status. Height and weight were also measured. Among them, 1 299 metabolically healthy subjects were divided into 3 groups according to body mass index, namely metabolically healthy normal weight(MHNW), metabolically healthy overweight(MHOW), and MHO. Three groups were reassembled in 2014, and finally a total of 966 subjects with baseline and complete follow-up data were included in the analysis. The relationship between MS and its components, and the incidence of CVD were compared among the three groups.Results:(1) After an average follow-up of 3 years, 47.77% of the MHO population transformed into a metabolically unhealthy state. There was no significant difference in the incidence of MS components among the three groups( P>0.05), but there was a significant difference in the incidence of MS( P<0.05); (2) There was no significant difference in the incidence of CVD among the three groups after 3 years of follow-up. Logistic regression was used to analyze the risk factors of CVD in the three groups. Taking the MHNW as the control group, after adjusting for age, gender, FPG, blood lipids, and blood pressure, the risk ratio of the MHOW group was 0.941(0.661-1.202), and MHO group was 0.974(0.702-1.291). Conclusions:After 3 years of follow-up, although the risk of CVD in the MHO population did not increase significantly, the incidences of MS, triglycerides, and FPG abnormality increased compared with the normal people, suggesting that the MHO is not a " stable" healthy state.
ABSTRACT
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.
Subject(s)
Humans , Phenotype , Cardiovascular Diseases , Obesity, Metabolically Benign , Obesity , Chile , Prevalence , Risk FactorsABSTRACT
<p><b>INTRODUCTION</b>Metabolic heterogeneity among obese individuals is thought to translate into variations in cardiovascular risk. Identifying obese people with an unfavourable metabolic profile may allow preventive strategies to be targeted at high-risk groups. This study aimed to identify clinical, biochemical and immunological differences between insulin-sensitive and insulin-resistant obese subgroups, to understand the population-specific pathophysiological basis of the adverse cardiovascular risk profile in the latter group.</p><p><b>METHODS</b>Cardiovascular risk indicators, including anthropometric parameters, blood pressure, acanthosis nigricans area, and related biochemical, endocrine and inflammatory markers, were determined in 255 healthy South Asian volunteers aged 18-45 years, with a 2:1 ratio of obese/overweight to normal-weight individuals. Lifetime atherosclerotic cardiovascular disease (ASCVD) risk was also calculated.</p><p><b>RESULTS</b>Body mass index (BMI) and insulin sensitivity-based tertiles independently showed incremental trends in waist-hip ratio, skinfold thickness, acanthosis nigricans area, blood pressure, serum lipids, hepatic enzymes, adipokines, inflammatory markers and ten-year ASCVD risk. The anthropometric, biochemical and inflammatory parameters of obese insulin-sensitive and obese insulin-resistant groups differed significantly. Extreme group analysis after excluding the middle tertiles of both insulin resistance and BMI also showed significant difference in anthropometric indicators of cardiovascular risk and estimated lifetime ASCVD risk between the two obese subgroups.</p><p><b>CONCLUSION</b>Obese insulin-sensitive individuals had a favourable metabolic profile compared to the obese insulin-resistant group. The most consistent discriminative factor between these phenotypic classes was anthropometric parameters, which underscores the importance of clinical parameters as cardiovascular risk indicators in obesity.</p>
ABSTRACT
Objective To investigate the clinical characteristics of metabolically healthy obese ( MHO) individuals, and to explore the risk of progression into metabolic disorders after 3 years. Methods A total of 3943 residents in Jining City were evaluated twice from February 2012 to August 2015, and 3766 individuals were enrolled excluding those with missing data. Of the subjects, 875 subjects were screened as metabolic normal population, which were divided into MHO(n = 127), metabolically healthy overweight (MHOW, n = 386), and metabolically healthy normal weight ( MHNW, n = 362) groups. T test, x2 test, and logistic regression analysis were used for data analysis. Results The incidence of MHO was 11. 63％ (127 / 1092) in obesity, and the proportion of MHO in females was higher than that in males(13. 91％ vs 7. 82％ , P<0. 05). Compared with MHNW group, the levels of HbA1C , fasting insulin, low density lipoprotein-cholesterol ( LDL-C), triglyceride ( TG), glutamyl transpeptidase (GGT), systolic blood pressure(SBP), diastolic blood pressure(DBP), and waist circumference(WC) were higher in MHO while glomerular filtration rate (GFR) and high density lipoprotein-cholesterol (HDL-C) were lower(all P<0. 05); and fasting insulin, LDL-C, TG, GGT, SBP, WC were higher in MHOW while HDL-C was lower (all P<0. 05). The levels of fasting insulin, TG, SBP, WC were higher in MHO while GFR and HDL-C were lower compared with MHOW(all P<0. 05). Following up for 3 years, the incidences of dyslipidemia in MHNW, MHOW, and MHO were 17. 96％ (65 / 362), 32. 90％ (127 / 386), 42. 52％ (54 / 127), respectively, with significant difference among three groups(P<0. 05). The incidences of hyperglycemia in the three groups were 20. 17％ (73 / 362), 22. 80％(88 / 386), 26. 77％ (34 / 127), respectively, without significant difference among groups ( all P > 0. 05). After adjustment for some factors including sex, age, fasting insulin, glutamic pyruvic transaminase, glutamic oxaloacetic transaminase, GGT, and creatinine, the risks of dyslipidemia in MHO ( OR = 2. 193, 95％ CI 1. 359-3. 539, P<0. 05) and MHOW(OR= 1. 705, 95％ CI 1. 190-2. 443, P<0. 05) were significantly increased as compared with MHNW. Conclusion Compared with MHNW individuals, MHOW/ MHO individuals show an obviously different clinical feature as well as with higher risks of dyslipidemia after 3 years.
ABSTRACT
Metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) are differentiated by the presence of cardiometabolic risk factors (CMRFs) and insulin resistance (IR). This study aimed to evaluate the prevalence and clinical characteristics of MHO in Korean children and adolescents and to investigate the anthropometric, laboratory, and lifestyle predictors of MHO. This study included data from 530 obese subjects, aged 10–19 years, obtained from the Fourth Korea National Health and Nutrition Examination Survey. Subjects were classified into MHO and MUO groups according to the presence of CMRF (MHO(CMRF)/MUO(CMRF)) and degree of IR (MHO(IR)/MUO(IR)). Demographic, anthropometric, cardiometabolic, and lifestyle factors were compared between the groups. Logistic regression analysis and receiver operating characteristic curve analysis were performed to identify factors that predicted MHO. The prevalence of MHO(CMRF) and MHO(IR) in obese Korean youth was 36.8% (n = 197) and 68.8% (n = 356), respectively. CMRF profiles were significantly less favorable in MUO children. Longer and more vigorous physical activity and less protein intake were associated with MHO(CMRF) phenotype. The best predictors of MHO(CMRF) and MHO(IR) were waist circumference (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.77–0.88; P < 0.001) and body mass index (BMI) standard deviation score (OR, 0.24; 95% CI, 0.15–0.39; P < 0.001), respectively. The prevalence of MHO differed depending on how it was defined. To adequately manage obesity in youth, the approach to individuals with MHO and MUO should be personalized due to variation in clinical characteristics. Longitudinal studies are needed to evaluate long-term consequences of MHO.
Subject(s)
Adolescent , Child , Humans , Body Mass Index , Insulin Resistance , Korea , Life Style , Logistic Models , Longitudinal Studies , Motor Activity , Nutrition Surveys , Obesity , Obesity, Metabolically Benign , Phenotype , Prevalence , Risk Factors , ROC Curve , Waist CircumferenceABSTRACT
BACKGROUND: This study aimed to determine the prevalence of metabolically healthy and unhealthy obesity (MHO and MUO, respectively) and examine the demographic, anthropometric, and lifestyle predictors of metabolic health status in Korean children and adolescents. METHODS: This study was based on data collected from the Korean Children-Adolescent Study in 2010. A total of 1,700 children (846 boys and 854 girls) were included in the primary cohort and classified into metabolically healthy and unhealthy groups according to factors related to the metabolic syndrome. Demographic and biochemical features were evaluated in study participants. Logistic regression estimated the odds ratios of having more fat mass among MUO compared with MHO children after adjusting for confounding factors. RESULTS: Mean body mass index was higher in the MUO group than in the MHO group (24.83 vs. 23.02 kg/m2, respectively). The proportion of obese participants was also higher in the MUO group (59.4%) than in the MHO group (20.7%). MHO children were more likely to have parents with better socioeconomic status and a higher fruit and vegetable intake compared with MUO children. Higher fat mass and percent fat was associated with MUO according to multiple logistic regression analysis. CONCLUSION: Fat mass and percent fat are associated with metabolically healthy phenotypes of obesity among children and adolescents.
Subject(s)
Adolescent , Child , Humans , Body Mass Index , Cohort Studies , Fruit , Life Style , Logistic Models , Obesity , Odds Ratio , Parents , Pediatrics , Phenotype , Prevalence , Social Class , VegetablesABSTRACT
Metabolically healthy obesity (MHO) is a new concept in which an individual may exhibit an obese phenotype in the absence of any metabolic abnormalities. There are a number of definitions of MHO that utilize a variety of components. The findings of clinical and basic studies indicate that subjects with MHO do not exhibit an increased mortality, an increased risk of cardiovascular disease, or an increased risk of type 2 diabetes mellitus, as compared to normal-weight controls. Although these findings imply that metabolic health is a more important factor than obesity, several studies have shown that subjects with MHO have a similar risk of metabolic or cardiovascular diseases as those with metabolically unhealthy obesity. Thus, there is still debate regarding not only the implications of the MHO phenotype but its very existence. Accordingly, future studies should focus on developing a unified definition of MHO and distinguishing subjects who will be at a high risk for metabolic and cardiovascular diseases.