A COMPARATIVE ANALYSIS OF 24-HOUR DIETARY RECALLS AND FOOD FREQUENCY QUESTIONNAIRES ADMINISTERED SIMULTANEOUSLY IN THE KAZAKHSTANI POPULATION
Introduction: Dietary habits and eating patterns of individuals have a significant impact on overall health. Proper nutrition is vital to preventing chronic diseases and improving physical and mental performance. Kazakhstan, a rapidly developing country in Central Asia, offers a unique opportunity to study the diverse dietary behavior of its population due to cultural, ethnic and geographic differences.
Purpose: to study dietary habits and nutritional status of persons aged 18 years and older in various regions of Kazakhstan.
Materials and methods: The study was conducted over a period of six months and covered urban and rural areas of various regions of Kazakhstan, including large cities such as Astana, Almaty and Aktobe, as well as their surrounding rural areas. A stratified sample of 370 participants was used and were randomly selected from each stratum to ensure representativeness. Statistical analyzes included determination of dietary patterns, assessment of agreement between food frequency questionnaires and 24-hour recalls, and correlation and visualization of agreement between these methods using Bland-Altman plots. To improve the accuracy of food intake estimates, Willett energy adjustment was applied using Python 3.9 and associated libraries (NumPy, SciPy, pandas, Scikit-learn).
Results: In this study, conducted in different regions of Kazakhstan, significant regional differences in food intake and nutritional status were observed among 370 participants. A comparative analysis of food frequency questionnaires (FFQ) and 24-hour recall showed that urban residents tend to have higher consumption of processed foods, whereas rural residents are more likely to consume traditional, minimally processed foods. This difference highlights the influence of geography, culture, and economic factors on eating habits. Urban and rural settings exhibited unique dietary patterns: urban areas experienced greater diversity in food consumption, but also a higher propensity for nutrient inequalities.
Conclusions: Combining multiple dietary assessment tools and using larger sample sizes may improve the accuracy and reliability of dietary data. Additionally, education and training of participants in portion size estimation and dietary reporting may help improve the quality of data collected using these methods. In conclusion, the study shows that the FFQ and 24-hour recall methods are reliable and correlate well in assessing intake of essential nutrients in Kazakhstan.
Ayaulym F. Nurgozhina1, https://orcid.org/0000-0001-7042-4763
Laura Y. Chulenbayeva1, https://orcid.org/0000-0002-8691-9485
Zhanel Y. Mukhanbetzhanova1, https://orcid.org/0000-0001-8833-5048
Darya T. Sadvokassova1, https://orcid.org/0000-0003-1138-2078
Shynggys D. Sergazy1, https://orcid.org/0000-0002-6030-620X
Nurislam A. Mukhanbetzhanov1, https://orcid.org/0000-0002-6708-7871
Madiyar A. Nurgaziyev1, https://orcid.org/0000-0003-2397-4978
Argul A. Issilbayeva1, https://orcid.org/0000-0002-7350-6083
Elizaveta А. Vinogradova1, https://orcid.org/0009-0003-1845-2726
Almagul R. Kushugulova2, https://orcid.org/0000-0001-9479-0899
1 National Laboratory Astana, Nazarbayev University, Astana, Republic of Kazakhstan;
2JSC “National Research Cardiac Surgery Center”, Astana, Republic of Kazakhstan.
1. Al-Shaar L., Yuan C, Rosner B., Dean S.B., Ivey K.L., Clowry C.M., Sampson L.A., Barnett J.B., Rood J., Harnack L.J., Block J., Manson J.E., Stampfer M.J., Willett W.C., Rimm E.B. Reproducibility and Validity of a Semiquantitative Food Frequency Questionnaire in Men Assessed by Multiple Methods // Am J Epidemiol. 2021 Jun 1. 190(6):1122-1132. doi: 10.1093/aje/kwaa280. PMID: 33350436. PMCID: PMC8168140.
2. Castellanos-Gutiérrez A., Rodríguez-Ramírez S., Bromage S., Fung T.T., Li Y., Bhupathiraju S.N., Deitchler M., Willett W., Batis C. Performance of the Global Diet Quality Score with Nutrition and Health Outcomes in Mexico with 24-h Recall and FFQ Data // J Nutr. 2021 Oct 23. 151(12 Suppl 2):143S-151S. doi: 10.1093/jn/nxab202. PMID: 34689195. PMCID: PMC8542100.
3. Fangupo L.J., Haszard J.J., Leong C., Heath A.M., Fleming E.A., Taylor R.W. Relative Validity and Reproducibility of a Food Frequency Questionnaire to Assess Energy Intake from Minimally Processed and Ultra-Processed Foods in Young Children // Nutrients. 2019 Jun 7. 11(6):1290. doi: 10.3390/nu11061290. PMID: 31181631. PMCID: PMC6627316.
4. Gilsing A., Mayhew A.J., Payette H., Shatenstein B., Kirkpatrick S.I., Amog K., Wolfson C., Kirkland S., Griffith L.E., Raina P. Validity and Reliability of a Short Diet Questionnaire to Estimate Dietary Intake in Older Adults in a Subsample of the Canadian Longitudinal Study on Aging // Nutrients. 2018 Oct 17. 10(10):1522. doi: 10.3390/nu10101522. PMID: 30336568. PMCID: PMC6213467.
5. Jung S., Park S., Kim J.Y. Comparison of dietary share of ultra-processed foods assessed with a FFQ against a 24-h dietary recall in adults: results from KNHANES 2016 // Public Health Nutr. 2022 Jan 19.25(5):1-10. doi: 10.1017/S1368980022000179. Epub ahead of print. PMID: 35042567. PMCID: PMC9991629.
6. Laramée C., Lemieux S., Robitaille J., Lamarche B. Comparing the Usability of the Web-Based 24-h Dietary Recall R24W and ASA24-Canada-2018 among French-Speaking Adults from Québec // Nutrients. 2022 Oct 28. 14(21):4543. doi: 10.3390/nu14214543. PMID: 36364803. PMCID: PMC9653863.
7. Lombard M.J., Steyn N.P., Charlton K.E., Senekal M. Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods // Nutr J. 2015 Apr 22. 14:40. doi: 10.1186/s12937-015-0027-y. PMID: 25897837. PMCID: PMC4471918.
8. Looman M., Boshuizen H.C., Feskens E.J., Geelen A. Using enhanced regression calibration to combine dietary intake estimates from 24 h recall and FFQ reduces bias in diet-disease associations // Public Health Nutr. 2019 Oct. 22(15):2738-2746. doi: 10.1017/S1368980019001563. Epub 2019 Jul 2. PMID: 31262375. PMCID: PMC10260535.
9. Moyen A., Rappaport A.I., Fleurent-Grégoire C., Tessier A.J., Brazeau A.S., Chevalier S. Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study // J Med Internet Res. 2022 Nov 21. 24(11):e40449. doi: 10.2196/40449. PMID: 36409539. PMCID: PMC9723975.
10. Smiljanec K., Mbakwe A.U., Ramos-Gonzalez M., Mesbah C., Lennon S.L. Associations of Ultra-Processed and Unprocessed/Minimally Processed Food Consumption with Peripheral and Central Hemodynamics, and Arterial Stiffness in Young Healthy Adults // Nutrients. 2020 Oct 22. 12(11):3229. doi: 10.3390/nu12113229. PMID: 33105677. PMCID: PMC7690393.
Количество просмотров: 141305
Категория статей:
Оригинальные исследования
Библиографическая ссылка
Nurgozhina A.F., Chulenbayeva L.Y., Mukhanbetzhanova Zh.Y., Sadvokassova D.T., Sergazy Sh.D., Mukhanbetzhanov N.A., Nurgaziyev M.A., Issilbayeva A.A., Vinogradova E.A., Kushugulova A.R. A comparative analysis of 24-hour dietary recalls and food frequency questionnaires administered simultaneously in the Kazakhstani population // Nauka i Zdravookhranenie [Science & Healthcare]. 2024. Vol.26 (2), pp. 27-35. doi 10.34689/SH.2024.26.2.004Похожие публикации:
TRENDS IN MORBIDITY AND MORTALITY FROM CHRONIC HEART FAILURE IN ALMATY
СТРУКТУРНО-ФУНКЦИОНАЛЬНЫЕ ИЗМЕНЕНИЯ МИОКАРДА ПОСЛЕ АОРТОКОРОНАРНОГО ШУНТИРОВАНИЯ У ПАЦИЕНТОВ С ИЗБЫТОЧНОЙ МАССОЙ ТЕЛА НА РАЗНЫХ ЭТАПАХ РЕАБИЛИТАЦИИ
МЕДИКО – СОЦИАЛЬНЫЕ, ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ КАЧЕСТВА ЖИЗНИ БОЛЬНЫХ С ОСТРЫМ ПАНКРЕАТИТОМ
A COMPARATIVE ANALYSIS OF 24-HOUR DIETARY RECALLS AND FOOD FREQUENCY QUESTIONNAIRES ADMINISTERED SIMULTANEOUSLY IN THE KAZAKHSTANI POPULATION
ANALYSIS OF PATIENT SATISFACTION WITH THE QUALITY OF ORGANIZATION OF TREATMENT IN FOREIGN CLINICS