ABSTRACT
The purpose of this paper is to explain the methodology of National Turkey Nutrition and Health Survey [TNHS] - 2010. The survey was conducted with the aim of providing the necessary data on nutrition and health to plan and develop related food, nutrition and health policies in Turkey and the study was conducted in collaboration with Ministry of Health, Hacettepe University Faculty of Health Sciences Department of Nutrition and Dietetics, and Ankara Numune Training and Research Hospital. TNHS sample was designed as a weighted, multi-stage, stratified cluster sample. To stratify the sample, TNHS adopted the stratification approach used in the 2008 Turkey Demographic and Health Survey that allows making estimates nation-wide and for the 5 regions, the 12 NUTS-1 regions, and the 7 metropolitans. Survey provided detailed information on dietary intake, physical examination including clinical and biochemical variables, physical activity status and anthropometric measurements. The survey sample was designed to represent the population of Turkey in age groups of 0-5 and >/= 6 years, the baseline nutrition and health status and blood and urine tests of >/= 6 year-old individuals.
ABSTRACT
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