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1.
J Pak Med Assoc ; 65(7): 756-63, 2015 Jul.
Article in English | MEDLINE | ID: mdl-26160087

ABSTRACT

OBJECTIVE: To validate the original food frequency questionnaire in Turkish adult population. METHODS: The cross-sectional study was conducted in June and December 2008 and 2009, and comprised adults of either gender aged 30-70 years. All subjects were Caucasians and were native Turkish speakers. The food frequency questionnaire containing 229 most frequently consumed foods under 7 topics was used for data collection. It was completed twice and the 24-hour dietary recall four times in a year. In order to assess the validity of the questionnaire, Pearson correlation, attenuation coefficient, measures of agreement between the two methods, weighted kappa statistics and Bland-Altman plots were employed. SPSS 16 was used for statistical analysis. RESULTS: Of the 120 subjects in the study, 71(59%) were males and 49(41%) were females with an overall mean age of 50.16±9.76 years. The correlation of estimated nutrient intake between the food frequency questionnaire and 24-hour dietary recall varied between 0.200 and 0.468, energy-adjusted regression was between 0.044 and 0.611 and attenuation coefficients of regression were between 0.339 and 0.658 for the selected macro and micro nutrients. Bland-Altman plots showed an acceptable agreement between the two methods. When nutrient intake was categorised in quartiles, proportions of the same or adjacent quartiles were 98.3%, 98.4%, 98.3%, 96.7% and 95% for energy, fat, protein, carbohydrates and fibre, respectively. CONCLUSIONS: The first food frequency questionnaire developed in Turkish language was an adequate and valid tool to assess the nutritional habits of the local population.


Subject(s)
Diet Surveys , Diet/statistics & numerical data , Feeding Behavior , Adult , Aged , Cross-Sectional Studies , Dietary Carbohydrates , Dietary Fats , Dietary Fiber , Dietary Proteins , Energy Intake , Female , Humans , Male , Middle Aged , Reproducibility of Results , Surveys and Questionnaires , Turkey
2.
Ann Saudi Med ; 33(6): 566-71, 2013.
Article in English | MEDLINE | ID: mdl-24413860

ABSTRACT

BACKGROUND AND OBJECTIVES: Each of the metabolic syndrome (MetS) components (central obesity, hypertriglyceridemia, hypertension, low high-density lipoprotein cholesterol, and insulin resistance) may arise from an underlying disease or factors such as hormonal or pharmacological factors. These components arising secondary to a reason other than life style disturbances cause secondary MetS. The present study aimed to present, for the first time, the factors affecting secondary MetS. DESIGN AND SETTINGS: An observational study at Medeniyet University Goztepe Training and Research Hospital, Istanbul, from June 2010 to February 2011. PATIENTS AND METHODS: The underlying causes in 902 MetS patients with a mean age of 53.5 (12.9) years, of whom 79% were female, were investigated. A detailed evaluation was made, which comprised a history for drugs, diseases and habits that may manifest MetS parameters, physical examination, and laboratory analysis. RESULTS: In 10.6% of the patients, hypothyroidism was determined as the main factor affecting secondary MetS, and in 4.1% the use of corticosteroid was determined as the main factor. Other factors underlie affecting secondary MetS are as follows: the use of thiazide diuretics (22.8%), beta-blockers (12.5%), antiphysichotics (2.1%), insulins (12.8%), insulin secretagog oral hypoglycemics (13.8%), thiazolidinediones (4.9%), oral contraceptives (0.8%), and alcohol intake (2.2%). CONCLUSION: Hypothyroidism and corticosteroid treatment are the leading causes of secondary MetS. While evaluating the patients, it is a prerequisite to determine the high frequency of other factors that may affect the presence and the degree of MetS parameters.


Subject(s)
Glucocorticoids/adverse effects , Hypothyroidism/complications , Metabolic Syndrome/etiology , Adult , Aged , Female , Glucocorticoids/therapeutic use , Humans , Hypothyroidism/epidemiology , Life Style , Male , Metabolic Syndrome/epidemiology , Metabolic Syndrome/physiopathology , Middle Aged , Risk Factors , Turkey
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