Clinical Nutrition Research

The Korean Society of Clinical Nutrition (한국임상영양학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison of 3 Nutritional Questionnaires to Determine Energy Intake Accuracy in Iranian Adults

  • Moradi, Shima (Student Research Committee, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences) ;
  • Pasdar, Yahya (Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences) ;
  • Hamzeh, Behrooz (Environmental Determinates of Health Research Center, School of Public Health, Kermanshah University of Medical Sciences) ;
  • Najafi, Farid (Department of Epidemiology, School of Public Health, Communing Developmental and Health Promotion Research Center, Kermanshah University of Medical Sciences) ;
  • Nachvak, Seyed Mostafa (Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences) ;
  • Mostafai, Roghayeh (Student Research Committee, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences) ;
  • Niazi, Parisa (Department of Nutrition, Faculty of Nutritional Sciences and Food Technology, Kermanshah University of Medical Sciences) ;
  • Rezaei, Mansour (Departments of Biostatistics and Epidemiology, Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences)
  • Received : 2018.05.22
  • Accepted : 2018.07.24
  • Published : 2018.07.31
⟨ Previous Next ⟩

Abstract

A precision instrument is required to assess the nutritional status. This study was conducted on comparison of 3 nutritional questionnaires to determine energy intake (EI) accuracy in adults in Ravansar Non-Communicable Chronic Disease (RaNCD) cohort study. This cross-sectional study was conducted on 118 of participant's RaNCD. EI was evaluated with 3 questionnaires including food frequency questionnaire (FFQ), 24-hours recall (24HR), and food habits questionnaire (FHQ). Resting metabolic rate (RMR) was measured using indirect calorimetry. We used EI/RMR cut off to evaluate EI reporting status. The $mean{\pm}standard$ deviation of age in men and women were $44.1{\pm}6.5$ and $43.7{\pm}5.25$ respectively and 50.8% of participants were men. Among 3 EI estimating questionnaires, FFQ was more accurate than 2 other questionnaires (67.8%). We observed that implausible reporters of 24HR were likely overweight (p < 0.005) but we did not observe a significant difference between EI reporting of FFQ and FHQ with participants' body composition. Our finding showed that EI underreporting of 24HR and FHQ were high. Under reporters were seemed to be overweight. Therefore, these results suggested that among 3 nutritional questionnaires the FFQ was an appropriate approach to determine EI in this population due to plausible EI reporting was higher than 2 other nutritional questionnaires (24HR and FHQ).

Keywords

Acknowledgement

Supported by : Kermanshah University of Medical Sciences

References

  1. Talegawkar SA, Tanaka T, Maras JE, Ferrucci L, Tucker KL. Validation of nutrient intake estimates derived using a semi-quantitative FFQ against 3 day diet records in the Baltimore Longitudinal Study of Aging. J Nutr Health Aging 2015;19:994-1002. https://doi.org/10.1007/s12603-015-0659-9
  2. Tooze JA, Vitolins MZ, Smith SL, Arcury TA, Davis CC, Bell RA, DeVellis RF, Quandt SA. High levels of low energy reporting on 24-hour recalls and three questionnaires in an elderly low-socioeconomic status population. J Nutr 2007;137:1286-93. https://doi.org/10.1093/jn/137.5.1286
  3. Markussen MS, Veierod MB, Ursin G, Andersen LF. The effect of under-reporting of energy intake on dietary patterns and on the associations between dietary patterns and self-reported chronic disease in women aged 50-69 years. Br J Nutr 2016;116:547-58. https://doi.org/10.1017/S000711451600218X
  4. Sunami A, Sasaki K, Suzuki Y, Oguma N, Ishihara J, Nakai A, Yasuda J, Yokoyama Y, Yoshizaki T, Tada Y, Hida A, Kawano Y. Validity of a semi-quantitative food frequency questionnaire for collegiate athletes. J Epidemiol 2016;26:284-91. https://doi.org/10.2188/jea.JE20150104
  5. Stice E, Palmrose CA, Burger KS. Elevated BMI and male sex are associated with greater underreporting of caloric intake as assessed by doubly labeled water. J Nutr 2015;145:2412-8. https://doi.org/10.3945/jn.115.216366
  6. Goldberg GR, Black AE, Jebb SA, Cole TJ, Murgatroyd PR, Coward WA, Prentice AM. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991;45:569-81.
  7. Shaneshin M, Jessri M, Rashidkhani B. Validity of energy intake reports in relation to dietary patterns. J Health Popul Nutr 2014;32:36-45.
  8. Mahan LK, Raymond JL. Intake: energy. In: Mahan LK, Raymond JL, editors. Krause's food & the nutrition care process. 14th ed. Philadelphia (PA): Elsevier Health Sciences; 2016. p. 17.
  9. Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran Lipid and Glucose Study. J Epidemiol 2010;20:150-8. https://doi.org/10.2188/jea.JE20090083
  10. Fatihah F, Ng BK, Hazwanie H, Norimah AK, Shanita SN, Ruzita AT, Poh BK. Development and validation of a food frequency questionnaire for dietary intake assessment among multi-ethnic primary school-aged children. Singapore Med J 2015;56:687-94. https://doi.org/10.11622/smedj.2015190
  11. Gallagher M. Intake: the nutrients and their metabolism. In: Mahan L, Escott-Stump S, Raymond J, editors. Krause's food & the nutrition care process. 13th ed. Philadelphia, PA: Elsevier Health Sciences; 2012. p. 113.
  12. Nieman DC, Austin MD, Benezra L, Pearce S, McInnis T, Unick J, Gross SJ. Validation of Cosmed's FitMate in measuring oxygen consumption and estimating resting metabolic rate. Res Sports Med 2006;14:89-96. https://doi.org/10.1080/15438620600651512
  13. Brisswalter J, Tartaruga MP. Comparison of COSMED'S $FitMate^{TM}$ and K4b2 metabolic systems reliability during graded cycling exercise. Scand J Clin Lab Invest 2014;74:722-4. https://doi.org/10.3109/00365513.2014.930711
  14. Nieman DC, Lasasso H, Austin MD, Pearce S, McInnis T, Unick J. Validation of Cosmed's FitMate in measuring exercise metabolism. Res Sports Med 2007;15:67-75. https://doi.org/10.1080/15438620601184380
  15. Willett WC, Dietz WH, Colditz GA. Guidelines for healthy weight. N Engl J Med 1999;341:427-34. https://doi.org/10.1056/NEJM199908053410607
  16. Ghaffarpour M, Houshiar-Rad A, Kianfar H. The manual for household measures, cooking yields factors and edible portion of foods. Tehran: Nashre Olume Keshavarzy; 1999.
  17. Nematy M, Nouri M, Ghazizahedi S, Norouzy A, Mohajeri S, Shalaei N, et al. Validity and reproducibility of Iranian food frequency questionnaire. Switz Res Park J 2013;102:2137-46.
  18. van Pelt RE, Dinneno FA, Seals DR, Jones PP. Age-related decline in RMR in physically active men: relation to exercise volume and energy intake. Am J Physiol Endocrinol Metab 2001;281:E633-9. https://doi.org/10.1152/ajpendo.2001.281.3.E633
  19. Jian L, Binns CW, Lee AH. Validity of a food-frequency questionnaire for elderly men in southeast China. Public Health Nutr 2006;9:928-33.
  20. Mirmiran P, Esmaillzadeh A, Azizi F. Under-reporting of energy intake affects estimates of nutrient intakes. Asia Pac J Clin Nutr 2006;15:459-64.
  21. Hare ME, Sherrill-Mittleman D, Klesges RC, Lanctot JQ, Klesges LM. Energy underreporting in African-American girls: a longitudinal analysis. Child Obes 2012;8:551-60. https://doi.org/10.1089/chi.2011.0117
  22. Mirmiran P, Nemati K, Kalantari N, Azizi F. Underreporting in nutritional surveys. J Qazvin Univ Med Sci 2003;7:135-44.
  23. Mendez MA, Popkin BM, Buckland G, Schroder H, Amiano P, Barricarte A, Huerta JM, Quiros JR, Sanchez MJ, Gonzalez CA. Alternative methods of accounting for underreporting and overreporting when measuring dietary intake-obesity relations. Am J Epidemiol 2011;173:448-58. https://doi.org/10.1093/aje/kwq380
  24. Rhee JJ, Sampson L, Cho E, Hughes MD, Hu FB, Willett WC. Comparison of methods to account for implausible reporting of energy intake in epidemiologic studies. Am J Epidemiol 2015;181:225-33. https://doi.org/10.1093/aje/kwu308
  25. Palacios C, Trak MA, Betancourt J, Joshipura K, Tucker KL. Validation and reproducibility of a semi-quantitative FFQ as a measure of dietary intake in adults from Puerto Rico. Public Health Nutr 2015;18:2550-8. https://doi.org/10.1017/S1368980014003218

Cited by

  1. The validity of resting energy expenditure predictive equations in adults with central obesity: A sub-sample of the RaNCD cohort study vol.25, pp.3, 2018, https://doi.org/10.1177/0260106019856816
  2. The Relationship Between the Dietary Inflammatory Index and Metabolic Syndrome in Ravansar Cohort Study vol.13, pp.None, 2018, https://doi.org/10.2147/dmso.s240641
  3. Depression Relationship with Dietary Patterns and Dietary Inflammatory Index in Women: Result from Ravansar Cohort Study vol.16, pp.None, 2018, https://doi.org/10.2147/ndt.s255912
  4. The Association of Dietary Total Antioxidant Capacity with Inflammatory Biomarkers and Anthropometric Indices in Patients Who Candidate for Coronary Artery Bypass Graft Surgery: a Cross-sectional Stud vol.10, pp.4, 2021, https://doi.org/10.7762/cnr.2021.10.4.353
  5. Under‐reporting of the energy intake in patients with type 2 diabetes vol.34, pp.1, 2018, https://doi.org/10.1111/jhn.12801
  6. Dietary Inflammatory Index in relation to psoriasis risk, cardiovascular risk factors, and clinical outcomes: a case-control study in psoriasis patients vol.46, pp.12, 2021, https://doi.org/10.1139/apnm-2021-0217
  7. The Mediterranean Diet Positively Affects Resting Metabolic Rate and Salivary Microbiota in Human Subjects: A Comparison with the Vegan Regimen vol.10, pp.12, 2018, https://doi.org/10.3390/biology10121292