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      Validity and reproducibility of a food frequency questionnaire assessing food group intake in the PERSIAN Cohort Study

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          Abstract

          Purpose

          A 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.

          Methods

          Participants, 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.

          Results

          Overall, 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.

          Conclusion

          The PERSIAN Cohort FFQ is appropriate to rank individuals based on food group intake.

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          Most cited references29

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          Adjustment for total energy intake in epidemiologic studies

          In epidemiologic studies, total energy intake is often related to disease risk because of associations between physical activity or body size and the probability of disease. In theory, differences in disease incidence may also be related to metabolic efficiency and therefore to total energy intake. Because intakes of most specific nutrients, particularly macronutrients, are correlated with total energy intake, they may be noncausally associated with disease as a result of confounding by total energy intake. In addition, extraneous variation in nutrient intake resulting from variation in total energy intake that is unrelated to disease risk may weaken associations. Furthermore, individuals or populations must alter their intake of specific nutrients primarily by altering the composition of their diets rather than by changing their total energy intake, unless physical activity or body weight are changed substantially. Thus, adjustment for total energy intake is usually appropriate in epidemiologic studies to control for confounding, reduce extraneous variation, and predict the effect of dietary interventions. Failure to account for total energy intake can obscure associations between nutrient intakes and disease risk or even reverse the direction of association. Several disease-risk models and formulations of these models are available to account for energy intake in epidemiologic analyses, including adjustment of nutrient intakes for total energy intake by regression analysis and addition of total energy to a model with the nutrient density (nutrient divided by energy).
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            The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.

            The US Department of Agriculture Automated Multiple-Pass Method (AMPM) is used for collecting 24-h dietary recalls in What We Eat In America, the dietary interview component of the National Health and Nutrition Examination Survey. Because the data have important program and policy applications, it is essential that the validity of the method be tested. The accuracy of the AMPM was evaluated by comparing reported energy intake (EI) with total energy expenditure (TEE) by using the doubly labeled water (DLW) technique. The 524 volunteers, aged 30-69 y, included an equal number of men and women recruited from the Washington, DC, area. Each subject was dosed with DLW on the first day of the 2-wk study period; three 24-h recalls were collected during the 2-wk period by using the AMPM. The first recall was conducted in person, and subsequent recalls were over the telephone. Overall, the subjects underreported EI by 11% compared with TEE. Normal-weight subjects [body mass index (in kg/m(2)) 30). Although the AMPM accurately reported EIs in normal-weight subjects, research is warranted to enhance its accuracy in overweight and obese persons.
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              Prospective Epidemiological Research Studies in Iran (the PERSIAN Cohort Study): Rationale, Objectives, and Design.

              Noncommunicable diseases (NCDs) account for 76% of deaths in Iran, and this number is on the rise, in parallel with global rates. Many risk factors associated with NCDs are preventable; however, it is first necessary to conduct observational studies to identify relevant risk factors and the most appropriate approach to controlling them. Iran is a multiethnic country; therefore, in 2014 the Ministry of Health and Medical Education launched a nationwide cohort study-Prospective Epidemiological Research Studies in Iran (PERSIAN)-in order to identify the most prevalent NCDs among Iran's ethnic groups and to investigate effective methods of prevention. The PERSIAN study consists of 4 population-based cohorts; the adult component (the PERSIAN Cohort Study), described in this article, is a prospective cohort study including 180,000 persons aged 35-70 years from 18 distinct areas of Iran. Upon joining the cohort, participants respond to interviewer-administered questionnaires. Blood, urine, hair, and nail samples are collected and stored. To ensure consistency, centrally purchased equipment is sent to all sites, and the same team trains all personnel. Routine visits and quality assurance/control measures are taken to ensure protocol adherence. Participants are followed for 15 years postenrollment. The PERSIAN study is currently in the enrollment phase; cohort profiles will soon emerge.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                04 August 2023
                2023
                : 10
                : 1059870
                Affiliations
                [1] 1Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences , Tehran, Iran
                [2] 2Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences , Tehran, Iran
                [3] 3Liver and Gastrointestinal Diseases Research Center, Tabriz University of Medical Sciences , Tabriz, Iran
                [4] 4Noncommunicable Diseases Research Center, Fasa University of Medical Sciences , Fasa, Iran
                [5] 5Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences , Tehran, Iran
                [6] 6Immunology of Infectious Diseases Research Center, Rafsanjan University of Medical Sciences , Rafsanjan, Iran
                [7] 7Centre for Healthcare Data Modeling, School of Public Health, Shahid Sadoughi University of Medical Sciences , Yazd, Iran
                [8] 8Gastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences , Sari, Iran
                [9] 9Health Promotion Research Center, Zahedan University of Medical Sciences , Zahedan, Iran
                [10] 10Nutritional Sciences Department, Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences , Kermanshah, Iran
                [11] 11Department of Nutrition, Harvard T. H. School of Public Health , Boston, MA, United States
                [12] 12Department of Epidemiology, Harvard T. H. School of Public Health , Boston, MA, United States
                [13] 13Digestive Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences , Tehran, Iran
                Author notes

                Edited by: Maya Vadiveloo, University of Rhode Island, United States

                Reviewed by: Noushin Mohammadifard, Isfahan University of Medical Sciences, Iran; Filippa Juul, New York University, United States

                *Correspondence: Reza Malekzadeh, dr.reza.malekzadeh@ 123456gmail.com
                Article
                10.3389/fnut.2023.1059870
                10436288
                37599697
                f45ebfed-0a3c-465b-b570-85b8d13a44e7
                Copyright © 2023 Eghtesad, Hekmatdoost, Faramarzi, Homayounfar, Sharafkhah, Hakimi, Dehghani, Moosazadeh, Mortazavi, Pasdar, Poustchi, Willett and Malekzadeh.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 October 2022
                : 18 July 2023
                Page count
                Figures: 1, Tables: 5, Equations: 1, References: 30, Pages: 11, Words: 8500
                Categories
                Nutrition
                Original Research
                Custom metadata
                Nutrition Methodology

                food frequency questionnaire,ffq,persian cohort,validity,reproducibility

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