Relación entre biometría fetal, producto de acumulación de los lípidos y condición trófica al nacer / Relationship between fetal biometry, lipid accumulation product and the trophic condition at birth

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.

Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study

BACKGROUND: We assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea. METHODS: A total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with prostate cancer were analyzed. Normal-weight and obesity were defined as body mass index (BMI) < 25 kg/m2 and ≥ 25 kg/m2, respectively. Metabolic obesity was defined as the presence ≥ 3 components of the metabolic syndrome. Participants were stratified into 4 groups: metabolically healthy, normal-weight; metabolically obese, normal-weight (MONW); metabolically healthy, obese (MHO); and metabolically obese, obese. Multivariate Cox regression analysis was performed to examine the relationship between metabolic health status and incidence of prostate cancer. RESULTS: During a mean 5.4 ± 1.1 years of follow-up, 56,552 patients were registered with a diagnosis of prostate cancer. When analyzed according to metabolic health status classification, the multivariable-adjusted hazard ratio (HR) was 1.143 for the MONW group, 1.097 for the MHO group, showing the HR for the MONW group was higher than that for the MHO group. As the number of metabolic syndrome components increased, HR increased significantly. When stratified based on BMI, metabolically obese patients showed significantly higher HR than metabolically healthy patients in all BMI groups. CONCLUSION: This population-based nationwide study revealed an association between metabolic health status and the incidence of prostate cancer, and the risk increased according to the number of components of the metabolic syndrome.

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.