Relationship between skeletal muscle mass index and metabolic phenotypes of obesity in adolescents / 中国当代儿科杂志

OBJECTIVES@#To study the relationship between skeletal muscle mass index (SMI) and metabolic phenotypes of obesity in adolescents, and to provide a basis for the prevention and control of adolescent obesity and related metabolic diseases.@*METHODS@#A total of 1 352 adolescents aged 12 to 18 years were randomly selected by stratified cluster sampling in Yinchuan City from October 2017 to September 2020, and they were surveyed using questionnaires, physical measurements, body composition measurements, and laboratory tests. According to the diagnostic criteria for metabolic abnormalities and the definition of obesity based on the body mass index, the subjects were divided into four metabolic phenotypes: metabolically healthy normal weight, metabolically healthy obesity, metabolically unhealthy normal weight, and metabolically unhealthy obesity. The association between SMI and the metabolic phenotypes was analyzed using multivariate logistic regression.@*RESULTS@#The SMI level in the metabolically unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity groups was lower than that in the metabolically healthy normal weight group (P<0.001). Multivariate logistic regression analysis showed that after adjusting for gender and age, a higher SMI level was a protective factors for adolescents to develop metabolic unhealthy normal weight, metabolically healthy obesity, and metabolically unhealthy obesity phenotypes (OR=0.74, 0.60, and 0.54, respectively; P<0.001).@*CONCLUSIONS@#Increasing SMI can reduce the risk of the development of metabolic unhealthy/obesity.

Association between metabolically healthy obesity and incident risk of stroke in adult aged over 40 from rural Henan province / 中华预防医学杂志

Objective: To investigate the association between metabolically healthy obesity and the incident risk of stroke in people aged ≥40 years from rural areas of Henan Province. Methods: During 2007 to 2008, 20 194 residents aged ≥18 years were selected for baseline examination by random cluster sampling and 17 265 participants were followed up during 2013 to 2014. According to the aim of current study, a total of 11 864 eligible subjects were included in this post-hoc analysis. Depending on body mass index and metabolic status, subjects were divided into four groups: metabolically healthy normal weight, metabolically healthy obesity, metabolically abnormal normal weight and metabolically abnormal obesity. Multivariate logistic regression model was used to analyze the relationship between metabolically healthy obesity and the risk of stroke. Results: The median (Q1, Q3) age of study participants was 54(46, 61) years, and 4 526 participants were men. During the mean follow-up of 6 years, the cumulative incidence of stroke was 7.16%. The incidence of stroke in metabolically healthy normal weight, metabolically healthy obesity, metabolically abnormal normal weight, and metabolically abnormal obesity were 3.73%, 4.61%, 8.99% and 9.38%, respectively (χ²=117.458, P<0.001). After adjusting possible confounding factors, compared with metabolically healthy normal weight, the risk of stroke was significantly increased in the metabolically healthy obesity group, metabolically abnormal normal weight group and metabolically abnormal obesity group with the odds ratio (OR) and 95% confidence interval (CI) of 1.52(1.10-2.12), 2.11(1.61-2.77) and 2.78(2.18-3.55), respectively. Stratified analysis showed that the risk of stroke was significantly higher in metabolically healthy obesity people aged 40-59 years compared with metabolically healthy normal weight group (OR=2.12, 95%CI: 1.36-3.30). Conclusion: Metabolically healthy obesity, metabolically abnormal normal weight and metabolically abnormal obesity are positively associated with the risk of stroke.

New understanding and research opportunities of metabolically healthy obesity / 中华预防医学杂志

The paradox of obesity and metabolically healthy obesity are being challenged. More and more studies have disputed the potential mechanism and prognostic value of metabolically healthy obesity. The study of metabolically healthy obesity is helpful to clarify the potential causes of obesity paradox and the potential mechanism of different degrees of obesity harm to the population. From the perspective of evidence-based medicine, combined with the relevant literature at home and abroad, this study reviewed the new understanding of metabolically healthy obesity, lifestyle factors, the impact of fat factors on metabolically healthy obesity, and the new opportunities of metabolically healthy obesity research, in order to explore whether metabolically healthy obesity can maintain and gradually reduce weight for a long time, so as to improve cardiovascular disease In order to achieve the purpose of primary prevention of related diseases.

Niveles séricos de 25-hidroxivitamina D y su relación con síndrome metabólico en una población de hombres jóvenes no diabéticos / Serum levels of 25-hydroxy vitamin D and their relationship to metabolic syndrome in a population of young nondiabetic men

Resumen Introducción: los niveles no suficientes de vitamina D (VD) se han asociado a varias patologías no osteomusculares; sin embargo, es motivo de controversia si éstos se asocian a mayor prevalencia de síndrome metabólico (SM). Objetivo: determinar y comparar la frecuencia de insuficiencia y deficiencia de 25-hidroxivitamina D (25(OH)D) entre hombres jóvenes obesos no diabéticos y controles con peso normal, y su correlación con el estado de SM. Material y métodos: estudio de corte transversal, que incluyó 62 individuos con peso normal y 47 en obesidad, se determinaron los niveles séricos de 25(OH)D y se midieron parámetros antropométricos y bioquímicos para establecer criterios de SM. Resultados: de los 47 sujetos con obesidad, 25 tenían SM, mientas que ninguno de los sujetos de peso normal cumplía con dichos criterios. No se encontraron diferencias estadísticamente significativas en cuanto a la presencia de síndrome en correlación con los niveles de vitamina D (p=0.94). La media de los niveles séricos de 25(OH)D para la población total fue 30.6±8.3 ng/ mL; en sujetos normopeso 30.8±8.5 ng/mL y entre los obesos con SM fue 30.1±9.2 ng/mL y sin SM de 30.6±7.5 ng/mL. Por otro lado no hubo una correlación significativa entre los parámetros individuales de síndrome metabólico y los niveles séricos de VD, tanto de manera global, como en el análisis por subgrupos. Conclusión: no hubo una correlación significativa entre los niveles séricos de 25(OH)D con el estado de SM, tampoco se identificó ningún tipo de correlación significativa entre éstos y los parámetros antropométricos y bioquímicos estudiados.(Acta Med Colomb 2020; 45. DOI:doi.org/10.36104/amc.2020.1323).

Abstract Introduction: insufficient levels of vitamin D (VD) have been associated with several non-musculoskeletal diseases. However, whether they are associated with a greater prevalence of metabolic syndrome (MS) is a matter of controversy. Objective: to determine and compare the frequency of 25-hydroxy vitamin D (25(OH)D) insufficiency and deficiency in young, obese nondiabetic men and normal weight controls, and its correlation with metabolic syndrome. Material and methods: a cross-sectional study which included 62 normal weight and 47 obese individuals. Serum levels of 25(OH)D were ascertained and anthropometric and biochemical parameters were measured to establish MS criteria. Results: of the 47 obese subjects, 25 had MS, while none of the normal weight subjects met the criteria. There were no statistically significant differences in the presence of the syndrome related to the vitamin D levels (p=0.94). The mean serum 25(OH)D level for the total population was 30.6±8.3 ng/mL; in normal weight subjects it was 30.8±8.5 ng/mL, in obese subjects with MS it was 30.1±9.2 ng/mL, and in obese subjects without MS it was 30.6±7.5 ng/mL. Furthermore, there was no significant correlation between the individual MS parameters and serum VD, either globally or on subgroup analysis. Conclusion: there was no significant correlation between serum 25(OH)D levels and MS, nor was any significant correlation found between these and the anthropometric and biochemical parameters studied.(Acta Med Colomb 2020; 45. DOI:https://doi.org/10.36104/amc.2020.1323).

Are young Iranian women with metabolically healthy obesity at increased risk of CVD incidence? / Jovens iranianas obesas metabolicamente saudáveis têm maior risco de incidência de DCV?

Abstract Background The association between the Metabolically Healthy Obese (MHO) phenotype in the absence of metabolic syndrome and subsequent cardiovascular disease remains unclear. Objectives We examined the association between MHO and CVD risk in young Iranian women. Methods We 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. Results The 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. Conclusions Results 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.

Resumo Contexto A associação entre o fenótipo obeso metabolicamente saudável (OMS) na ausência de síndrome metabólica e doença cardiovascular subsequente permanece incerta. Objetivos Examinamos a associação entre o fenótipo OMS e risco de DCV em jovens iranianas. Métodos Analisamos 183 mulheres com idade de 20-35 anos de uma população de 308 candidatas. Classificamos as participantes em quatro fenótipos. Mensuramos composição corporal, pressão arterial e fatores bioquímicos em todas as participantes. Resultados Os fenótipos com peso normal metabolicamente saudável (PNMS) e obeso com peso normal não apresentaram diferenças estatísticas em nenhuma das variáveis bioquímicas. Os níveis de glicemia sanguínea em jejum (GSJ), triglicerídeos (TG), relação LDL/HDL, HDL, proteína C reativa ultrassensível (PCR-us) e índice aterogênico do plasma (IAP) foram mais elevados em obesas metabolicamente não saudáveis (OMNS) do que em indivíduos OMSs, enquanto o HDL foi maior em OMSs do que em indivíduos OMNSs. A relação LDL/HDL e o nível de PCR-us foram mais elevados em participantes OMSs do que em participantes com PNMS, enquanto o HDL foi maior naquelas com PNMS do que nas OMSs. Conclusões Os resultados do presente estudo demonstram que mulheres jovens com o fenótipo OMS têm um perfil metabólico favorável, conforme demonstrado pelos níveis menores de GSJ, TG, relação LDL/HDL, HDL, PCR-us e IAP e pelos níveis maiores de HDL em comparação às mulheres com o fenótipo OMNS. Entretanto, indivíduos OMSs ainda apresentavam maior risco de DCV incidente (níveis menores de HDL e maiores de PCR-us) do que indivíduos com PNMS.

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

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

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

The Relationship between Thyroid Function and Different Obesity Phenotypes in Korean Euthyroid Adults

BACKGROUND: Thyroid disease and metabolic syndrome are both associated with cardiovascular disease. The aim of this study was to investigate the correlation between thyroid hormones and obesity sub-phenotypes using nationwide data from Korea, a country known to be iodine replete.METHODS: This study was based on data obtained from the sixth Korea National Health and Nutrition Examination Survey, administered from 2013 to 2015. A total of 13,873 participants aged ≥19 years were included, and classified into four groups: metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO) by body fat on the basis of body mass index and metabolic health.RESULTS: At baseline, serum free thyroxine (fT4) values were significantly higher in the MHNO phenotype (MHNO, 1.27±0.01 ng/dL; MHO, 1.25±0.01 ng/dL; MUNO, 1.24±0.01 ng/dL; MUO, 1.24±0.01 ng/dL, P<0.001) in total study population. However, this significant association no longer remained after adjustment for age, urine iodine concentration, and smoking (P=0.085). After adjustment for confounders, statistically significant association was observed between lower thyroid stimulating hormone (TSH) and MHNO phenotype (P=0.044). In men participants (not women), higher fT4 values were significantly associated with MHNO phenotype (P<0.001). However, no significant association was observed between thyroid function (TSH or fT4) and obesity phenotypes in groups classified by age (cutoff age of 55 years).CONCLUSION: Although there was a difference by age and sex, we found that the decrease of TSH and the increase of fT4 values were associated with MHNO.

Metabolically healthy obesity: a friend or foe?

Obesity is associated with a reduced life expectancy, largely because obese individuals are at an increased risk of type 2 diabetes, cardiovascular disease, and several types of cancer. Much interest has recently focused on the concept of “all obesity is not created equally.” Obese individuals without the metabolic abnormalities that commonly accompany excess adiposity, a condition known as metabolically healthy obesity (MHO), account for a substantial proportion of the obese adult population. Numerous possible mechanisms underlying MHO have been suggested, including adipose tissue distribution and inflammation. However, the prognostic value of MHO is controversial and considerably challenging. The lack of a standard definition for metabolic health and obesity as well as the dynamic properties of MHO may have contributed to these inconsistent results. This review aimed to present several current issues regarding MHO including its definition, epidemiology, natural course, suggested mechanisms, and clinical implications in the context of patient prognosis.

Prevalence and Clinical Characteristics of Metabolically Healthy Obesity in Korean Children and Adolescents: Data from the Korea National Health and Nutrition Examination Survey

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.

Somatotype characteristics of normal-weight and obese women among different metabolic subtypes

ABSTRACT Background Obesity is a well known risk factor for the development of metabolic abnormalities. However, some obese people are healthy and on the other hand some people with normal weight have adverse metabolic profile, therefore it can be assumed that there is a difference in physical characteristics amongst these people. The aim of this study was to establish whether there are somatotype differences between metabolically healthy and metabolically obese women who are obese or of normal weight. Subjects and methods Study included 230 women aged 44.76 ± 11.21y. Metabolic status was assessed according to IDF criteria, while somatotype was obtained using Heath & Carter method. Results Significant somatotype differences were observed in the group of women with normal-weight: metabolically healthy women had significantly lower endomorphy, mesomorphy and higher ectomorphy compared to metabolically obese normal-weight women (5.84-3.97-2.21 vs. 8.69-6.47-0.65). Metabolically healthy obese women had lower values of endomorphy and mesomorphy and higher values of ectomorphy compared to ‘at risk’ obese women but the differences were not statistically significant (7.59-5.76-0.63 vs. 8.51-6.58-0.5). Ectomorphy was shown as an important determinant of the favorable metabolic profile (cutoff point was 0.80). Conclusion We concluded that, in addition to fat mass, metabolic profile could be predicted by the structure of lean body mass, and in particular by body linearity.