, 5 ] Obesity is a risk factor for IR; however, quantity and distribution of body fat are important determinants of obesity-related risk factors. [ 6 ] Abdominal or visceral fat is associated with higher incidence of IR and cardiovascular (CV) problems. [ 7 ] Anthropometry is a term used to define the measurements of specific body segments or regions. Anthropometricmeasurements including height, weight, body mass index (BMI), and body fat distribution provide valuable data regarding the future risk of diabetes and CVDs. [ 8 ] We aimed to examine the relation of
Background and Aims: We investigated the association of anthropometric measurements with lipid profile in adult hypertensive patients with normal weight and overweight including obesity.
Materials and Method: This was a randomized study performed in Tiaret, Algeria, on 150 hypertensive patients aged 33-91 years. Patients were divided according to their body weight (normal weight vs. overweight and obesity) into two groups. Weight, height and body mass index (BMI) were measured to estimate the various categories of body weight. The blood pressure (systolic and diastolic) and lipid profile (total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c) and triglycerides (TG) were analyzed.
Results: We found significant relations between body weight and blood pressure. Patients with normal weight had a normal blood pressure. However, a significant increase in blood pressure was observed in patients with overweight and obesity. Numerous significant relationship were disclosed for TC and LDL-c.
Conclusion: Lipid profile is related with weight status in hypertensive overweight/obese patients.
Purpose: to evaluate the serum levels of micronutrients in children with nutritional disorders, and to find if there is a direct correlation between them and the anthropometric measurements. Materials and methods: the study was conducted on 125 children (0-18 years); the working group consisted in children with Z-score < -2 standard deviations for at least one anthropometric measurement, while the children without growth disorders were considered as controls. Thus, for each anthropometric measurement, we had different working/control groups that were used for the assessment of correlation with laboratory findings. We followed eight anthropometric parameters and their relation with five of the micronutrients (Ca, Mg, Fe, Zn and Cu). Results: no statistical differences were found in micronutrients serum levels between genders or provenance. Most mean serum levels of micronutrients were lower in the children with Z-scores < -2 standard deviations (except Cu). Mg and Ca were positively correlated with most of the anthropometric measurements. For Fe, Zn and Cu, we found no correlation with any of the anthropometric measures. Differences in mean serum levels were found for Mg, with lower values in children with low weight-forage and triceps-skinfold-thickness, and for Cu, with higher levels in children with low triceps-skinfold-thickness. The red blood cell indices were positively associated with Fe and Zn levels. Conclusions: correlations between the serum level of micronutrients and anthropometric evaluation scores were found for Mg and Ca, but not for Fe and Zn, which were instead directly correlated with red blood cells indices. Mg, Fe and Zn tend to present small serum values in children with growth deficits. Considering the costs, the routine evaluation of Zn and Cu serum levels in growth disorder suspicion is not justified in our geographic area.
References  Poliński, Z. (2004). New anthropometricmeasurements as a necessary condition to improve the functionality of clothing. 2nd Scientific and Technical Conference CLOTECH (8-9 November 2004, Lodz, Poland)  Fan, J., Yu, W., Hunter, L. (2004). Clothing appearance and fit: Science and technology. Woodhead Publishing Limited (Cambridge, England)  Power, Jess, Apeagyei, P. R., Jefferson, A. M. (2011). Integrating 3D scanning data & textile parameters into virtual clothing. 2nd International Conference on 3D Body Scanning Technologies. Hometrica
Has Ghrelin an Impact on Metabolism and Anthropometric Measurements of Pre- and Full Term Newborns?
Background/aim. Recent literature has questioned ghrelin influence on postnatal metabolism. Studies of the effect of cord plasma ghrelin level on newborn metabolism are few. This study aimed to compare pre- and full term newborn ghrelin concentration at birth, and its relation to anthropometric and metabolic parameters.
Subjects and Methods. Thirty-two newborns were enrolled in this study. They were 10 full term (group 1) and 22 preterm (group 2). Anthropometric measurements, including body weight and length, body mass index (BMI), and head circumference were measured. Blood samples were collected within the first 2 h of life and before milk feeding. Ghrelin was determined using Enzyme-linked Immunosorbent assay while glucose and insulin were assessed using immunoenzymetic assay.
Results. Plasma ghrelin was significantly low in group 2 compared with group 1; in contrast, insulin and glucose were similar. In full term newborns plasma ghrelin was positively related to gestational age (r = 0.993; P < 0.01), head circumference (r = 0.740; P < 0.05), but was negatively related to serum insulin (r = -430.986; P < 0.01). However, plasma ghrelin was not related to anthropometric parameters or to glucose and insulin in pre-term newborns.
Conclusion. In conclusion, plasma ghrelin may have a significant effect on full-term newborns metabolism and anthropometry.
Garment manufacture and garment fit to physique is a never-ending research subject. The human body is subject to changes that are reflected in its shape and body measurements, and appear in all periods of life. Monitoring the changes and gaining insight into the actual amounts of physical dimensions of an individual population unfold numerous opportunities to affect clothing design and manufacturing. In accordance with the issues mentioned above, a research was carried out to determine male body types of the Croatian male population. Male body types for a specific clothing size determine waist and hip girth, which completes the information on main body measurement amounts. Furthermore, the types of bodies are prescribed by the European Standard 14302-3 and, accordingly, in the observed sample, the presence of a particular type is determined with respect to regional affiliation and age. This study was conducted on a sample of 4090 test subjects divided into five regions, ages 20 to 85 years, divided into seven age groups. By statistical analysis of the results, that is, by the methods of descriptive statistics, the values of physical dimensions necessary for this research were determined.
The basic anthropometric data describing a person in the broadest context are body weight and height, two of the most frequently analyzed somatometric parameters. The same is true I in relation to clinical patients. The aim of the present study was to compare the self-reported and actual body weight, height and BMI in patients suffering from coronary artery disease and undergoing cardiac rehabilitation. The study sample consisted of 100 patients treated for coronary artery disease. The patients were asked to state their body weight and height. At the same time a three-person study team took measurements, which were later the basis for verification and objective assessment of the data provided by the patients. Statistical analysis was performed with Statistics 11.0 PL software. The analysis of mean results for the assessed group of patients has shown the presence of statistically significant differences between declared and actual data. The differences were observed for both male and female study population. It has been proven that the subjects declare greater body height (mean value 1.697 m vs. 1.666 m) and lower body weight (80.643 kg vs. 82.051 kg). Based on the data from surveys and direct measurements, the body mass index for the self-reported and actual data was calculated. A comparison of these values has shown considerable statistically significant differences. The differences between declared and actual data point to highly subjective self-assessment, which disqualifies the declared data in the context of monitoring of treatment and rehabilitation processes. The authors believe that actual data should be used in direct trial examination of patients suffering from coronary artery disease who presented with acute coronary syndrome.
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