RESUMO
Fundamento: Las alteraciones del estado nutricional materno generalmente se relacionan con desviaciones del crecimiento fetal, que pueden detectarse por los parámetros biofísicos fetales e identifican la posible condición trófica al nacer. Objetivo: Determinar la posible relación entre los parámetros biométricos fetales, la condición trófica al nacer y el producto de acumulación de los lípidos. Metodología: Se realizó un estudio transversal en el Policlínico Chiqui Gómez Lubian del municipio Santa Clara, durante el año 2019, en una población de 253 gestantes normopeso supuestamente sanas al inicio de la gestación. La muestra no probabilística fue de 144 gestantes. Las variables de estudio fueron: producto de acumulación de los lípidos, biometría fetal y condición trófica al nacer. Se utilizaron métodos teóricos, empíricos y estadísticos. Resultados: En el segundo trimestre ningún parámetro biométrico coincidió con la condición al nacer de pequeño, mientras que para el grande coincidieron las circunferencias cefálica y abdominal. En el tercer trimestre la longitud del fémur y la circunferencia abdominal coinciden en la identificación del pequeño y del grande. El PAL se correlacionó con la circunferencia abdominal del tercer trimestre y con el peso al nacer; presentando mayor frecuencia de valores en el tercer tertil para los nacimientos grandes. Conclusiones: La circunferencia abdominal fue el parámetro biométrico con mayor coincidencia con la condición trófica al nacer, la que se asoció con valores en el tercer tertil del PAL para la detección de nacimientos grandes, relacionándose el fenotipo normopeso metabólicamente obeso con el crecimiento fetal por exceso.
Background: Maternal nutritional status disorders are usually related to fetal growth deviations, which can be detected by fetal biophysical parameters and identify the possible trophic condition at birth. Objective: To determine the possible relationship between fetal biometric parameters, the birth trophic state and lipid accumulation product. Methodology: A cross-sectional study was conducted at the Chiqui Gómez Lubian Polyclinic in Santa Clara municipality, during 2019, in a population of 253 normal-weight pregnant women who were apparently healthy at the beginning of their gestation. The non-probability sample was made up of 144 pregnant women. Study variables were: lipid accumulation product, fetal biometry and trophic condition at birth. Theoretical, empirical and statistical methods were used. Results: In the second trimester, none of the biometric parameters matched the condition at birth as a small child, while in the large one the head and abdominal circumferences matched. In the third trimester, femoral length and abdominal circumference coincide in identifying the small one and the large one. LAP correlated with third trimester abdominal circumference and birth weight, presenting higher frequency of values in the third tertile for large births. Conclusions: Abdominal circumference was the biometric parameter with the highest coincidence with trophic condition at birth, associated with values in the third tertile of the LAP for detecting large births, relating the metabolically obese normal weight phenotype with excessive fetal growth.
Assuntos
Recém-Nascido , Biometria , Idade Gestacional , Peso Fetal , Desenvolvimento Fetal , Produto da Acumulação LipídicaRESUMO
OBJECTIVES: To determine the prevalence of the Metabolically Healthy Obesity (MHO), and Metabolically Obese Normal-Weight (MONW) phenotypes in a sample of children and adolescents. To evaluate which clinical and laboratory variables are related to the MONW and MHO phenotypes. METHODS: A cross-sectional study was carried out in children and adolescents aged 6-18 years old, presumably healthy. Somatometry, glucose, insulin, triglycerides, HDL-cholesterol, LDL-cholesterol, HOMA-IR, triglycerides/HDL ratio, triglycerides and glucose index, and leptin/adiponectin, were determined. RESULTS: Data from 620 children and adolescents were included (50.65% were males); the median age was 11 years. The prevalence of the MONW phenotype was 22.85% (95%CI 16.85%-29.79%), and the MHO phenotype 27.61% (95%CI 22.60%-33.06%). The variables that significantly explained the possibility of presenting the MONW and MHO phenotype were triglycerides/HDL ratio, and product of triglycerides and glucose. Insulin and HOMA-IR were significantly associated with the MHO phenotype but not with the MONW phenotype. CONCLUSIONS: Prevalence of metabolically healthy obese phenotype is lower in the Mexican population compared to European studies; thus, future studies should determine if this difference relies upon genetic profile or lifestyle. The indices to assess the action of insulin based on lipids can help identify children and adolescents with the MHO and MONW phenotypes.
RESUMO
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.
Assuntos
Adulto , Idoso , Feminino , Humanos , Pessoa de Meia-Idade , Peso Corporal Ideal , Metaboloma , Obesidade/metabolismo , Somatotipos , Antropometria , Glicemia/análise , Composição Corporal/fisiologia , Estado Nutricional , Obesidade Metabolicamente Benigna/sangue , Obesidade Metabolicamente Benigna/classificação , Obesidade/classificação , Fatores de Risco , Sérvia , Triglicerídeos/análiseRESUMO
BACKGROUND: Given that hypomagnesemia is related with hyperglycemia, hypertension, hypertriglyceridemia, and insulin resistance, the objective of this study was to determine whether serum magnesium levels are associated with the metabolically obese normal weight (MONW) and the metabolically healthy obese (MHO) phenotypes. METHODS: Population-based cross-sectional study that enrolled 427 subjects, men and non-pregnant women aged 20 to 65years, to participate in the study. Subjects were allocated into groups with and without obesity; among non-obese individuals, the subgroup of MONW subjects was compared with a control group of healthy normal-weight individuals. Among obese individuals, the subgroup of MHO subjects was compared with a control group of obese subjects who exhibited at least one metabolic abnormality. In the absence of obesity, the presence of fasting hyperglycemia, insulin resistance, hypertriglyceridemia, and/or hypertension defined the presence of MONW phenotype. In the absence of hypertension, insulin resistance and metabolic abnormalities of fasting glucose and triglycerides levels, the phenotypically obese subjects were defined as MHO individuals. RESULTS: The sex-adjusted prevalence of MONW and MHO phenotypes was 40.8% and 27.9%. The multivariate logistic regression model adjusted by family history of diabetes, age, body mass index, and waist-circumference, showed a positive association between hypomagnesemia and the MONW phenotype (OR 6.4; 95%CI 2.3-20.4) and negative relationship between serum magnesium and the MHO phenotype (OR 0.32; 95%CI 0.17-0.61). CONCLUSIONS: Our results show that hypomagnesemia is positively associated with the presence of MONW phenotype, and the normomagnesemia negatively with the MHO phenotype.