Assessment of body composition and serum lipid profile in school children

To determine the relationship between body composition and blood lipid concentrations in school aged children In this cross-sectional study, 159 children between the ages of 6 to 11 years were included Anthropometric measurements and serum total lipids profile were assessed. Overweight was 6% for boys and 5% for girls. A positive correlations were observed between Total Cholestrol [TC], and BMI, waist circumference, waist to hip ratio, percentage of fat mass, arm fat area [AFA] and between triglyceride [TG], and AFA; while a negative correlation was determined between HDL-C, and fat mass, AFA for boys. No correlation was observed for these values obtained from girls. This study has shown that in comparison to girls, the overweight and the correlation of body composition and lipid profiles were higher in boys with a tendency to develop the higher risk level of cardio vascular disease

Assessment and evaluation of the nutritional status of the elderly using 2 different instruments

The elderly population continues to increase in most countries and inadequate nutrition is a common problem affecting their functional and physical status. Therefore, we should periodically assess the nutritional status of the elderly using practical methods. Our study objectives are to assess the nutritional status of the elderly using 2 different methods: Mini Nutritional Assessment [MNA] and Nutritional Screening Initiative Checklist [NSIC], and to evaluate the consistency of the methods. We carried out a cross-sectional study between February 2003 and March 2004. We included a total of 1,564 elderly volunteers living in Ankara, Turkey, with median [ +/- inter quartile range [IQR]] age of 70 +/- 8 [Male: 71 +/- 9; Female: 70 +/- 9] years. We utilized 2 frequently used instruments; MNA and NSIC in this study. The MNA results [<17 points] indicated that 6.5% of the male and 8.8% of the female participants had inadequate nutrition. According to NSIC, 34.3% of males and 36.9% of females were classified as having a high risk of nutritional deficiency. We observed a decrease in MNA and an increase in NSIC scores with the increase of age [p<0.01]. We determined a negative correlation of MNA and positive correlation of NSIC with body weight, body mass index [BMI], mid-upper arm circumference [MUAC], and calf circumference [CC] [p<0.01]. We did not find correlations between MNA and NSIC score to be statistically significant [r:-0.318; p>0.05]. We analyzed agreements between MNA and NSIC score by Kappa statistical method [kappa: 0.13, p: 0.285] and determined that neither of these 2 methods can be used in lieu of the other. For the assessment of the nutritional status of the elderly, we could use both MNA and NSIC instruments but depending on the facilities and preferences, we cannot use one to replace the other. The MNA includes both anthropometric measurements and various nutritional parameters, and is a practical and most valid method