5 research outputs found
Validity and reproducibility of a food frequency questionnaire assessing food group intake in the PERSIAN Cohort Study
PurposeA semi-quantitative food frequency questionnaire (FFQ) was developed for use in the Prospective Epidemiological Research Studies in IrAN (PERSIAN Cohort), investigating non-communicable disease risk factors. This study aimed to assess the validity and reproducibility of this FFQ, through food group intake.MethodsParticipants, recruited from seven PERSIAN cohort centers, completed the FFQ at the beginning of the study (FFQ1) and at the end (FFQ2), with a 12-month interval in between, during which two 24-h dietary recalls (24 h) were completed each month. Correlation coefficients of the median intake of food groups recorded by the FFQs were compared to those of the 24 h to assess validity, and the two FFQs were compared to assess reproducibility of findings.ResultsOverall, data from 978 participants were included in this validation analysis. Of the 26 food groups assessed, Tea, Sugars, Whole/Refined Grains, and Solid Fats/Oils, had the strongest correlations (0.6–0.79), while Red Meat, Chicken and Eggs showed moderate correlations (0.42–0.59). The weakest correlations observed belonged to Fresh fruit Juice and Other Meats (0.23–0.32). Reproducibility was assessed among those who completed both FFQ1 and FFQ2 (n = 848), revealing moderate to strong correlations in all food groups, ranging from 0.42 in Legumes to 0.72 in both Sugar and Sweetened Drinks.ConclusionThe PERSIAN Cohort FFQ is appropriate to rank individuals based on food group intake
Household Food Insecurity in Southeastern Iran: Severity and Related Factors
Background. Today, more than one billion people globally suffer from poverty and food insecurity. This study aimed to determine the severity of and factors related to household food insecurity in Zahedan, Southeastern Iran. Methods. This cross-sectional study was conducted on a total of 2,160 households between November 2014 and December 2015. Demographic and socioeconomic data were collected through interviewing the household mothers. Household food security status was assessed through the USDA 18-item questionnaire. The data were analyzed using chi-square test, one-way ANOVA, and logistic regression model. Results. Total food insecurity in the households investigated was 58.8%. There were significant associations (P<0.001) between household food insecurity status and the socioeconomic status of the households, ethnicity, education, age, and employment status of the head of the household and the mother of the household. Discussion. The results showed that more than half of the households examined suffer from food insecurity. Interventions to improve the food security status of people should be designed and implemented to improve people’s knowledge, skills, and attitudes related to healthy eating and food preparation. People’s access to healthy foods and knowledge of how to select healthy foods (especially on a limited budget) should also be improved