Body Mass Index and Body Fat Percentage
There is a relationship between BMIand BFPamong women who are pregnant as it is evident from the research. Maternaldata related to infants and gestational outcomes in women who are pregnant was analyzed. The body mass index was used to classify the women who were the main respondents of the research as obese, overweight, or normal, whereas the body fat percentage was measured by the impedance method.Blood lipid profiles of the mothers to the infants were assessed and discovered thatobesity is related with neonatal complications, and thus, body fat percentage is a more accurate predictor outcomes of gestation.
BMI is used as a measure of body composition but there is evidence that it may reflect differences in body composition in different groups of people.Obesity is an epidemic and a majorcause of death in the whole world and can be controlled when a person is able to watch and control his/her BMIand BFP. Among the effective practices that ensure BMI and BFP are in the correct standards is routine body exercises, such as aerobics. Body fat percentage is a more accurate factor to predict the gestational outcomes than body mass index as it is evident from the study.Obesity results in adverse effects during the period of pregnancy and predisposes both the mother and the infant to diabetes, resistance to insulin syndrome, and pre-eclampsia.
Body mass index (BMI)contributes to miscarriage in the few months of pregnancy and placental abruption in the last few weeks of the gestation period.BMI is a reflection of BFP in the adult population because BMI and BFP correlate in most adults. The purpose of the researchwas to analyze the relation that existsbetween BMI, BFP, and gestational outcomes in patients.
Expectant women were consecutively admitted and given signed consent that permitted the use of collected data for the research. BMI was acquired from the heights and weights, which were taken from at the Shaanxi institute. An independent t-test was used as a parametric test of significance to compare between the two means.
The research analyzed the method that can be used to find out the presence of MetS in FMI and its optimal cut-off value. FMPis the best method that can be used to find out the existence of metabolic syndrome than BMI becausehigh fat mass index appears to be related to the presence of Mets despite of BMI and BF%.
From the research, it is evident that FMP is the best indicator in assessing the presence of metabolic syndrome than BMI in human beings.Obesity is one of the basic conditions of metabolic syndrome (MetS), which is a group of factorsthat are predisposing for cardiovascular disease.Obesity is associated with increased risk of recurrent problems during the gestation period, for instance, miscarriage. Fats located on a person’s abdomen cause diabetes and high blood pressure than fats located in other parts of the body.
One thousand six hundred and ninety-five respondents aged between 20-79 who participated in the checkups were employed in the research. Bioelectrical impendence analysis was the main method that was used to measure the body composition of the respondents whereas the association between quartiles and metS was analyzed and evaluated by the use of binary logistic regression. Samples of blood were taken from the respondents’ veinsat dawn after a fasting period of ten hours. The blood samples were instantaneously centrifuged at low temperatures and plasma for assays of lipid profile
From the research, it was discovered that FMI is associated with the presence of MetS and it is a good tool that can be used to screen and predict the existence of metabolic syndrome and percentage of the fat in the body of human beings.
Pengju, L., Fang, M., Huiping, L., & Yanping, L. (2013). The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome. BMC Public Health, 13(1), 1-8.
Zhao, Y., Li, Q., & Li, Y. (2014). Effects of body mass index and body fat percentage on gestational complications and outcomes. Journal of Obstetrics & Gynaecology Research, 40(3), 705-710