DOI QR코드

DOI QR Code

Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes

제2형 당뇨병 환자의 1일과 3일 평균 식이섭취량의 일관성과 혈당, 당화혈색소, 체질량지수, 지질과의 관련성

  • DaeEun, Lee (College of Nursing, Pusan National University) ;
  • Haejung, Lee (College of Nursing/Research Institute of Nursing Sciecne, Pusan National University) ;
  • Sangeun, Lee (College of Nursing, Pusan National University.Pusan National University Hospital) ;
  • MinJin, Lee (Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital) ;
  • Ah Reum, Khang (Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Yangsan Hospital)
  • 이대은 (부산대학교 간호대학) ;
  • 이해정 (부산대학교 간호대학/간호과학연구소) ;
  • 이상은 (부산대학교 간호대학.부산대학교병원) ;
  • 이민진 (양산부산대학교병원 내과) ;
  • 강아름 (양산부산대학교병원 내과)
  • Received : 2022.08.11
  • Accepted : 2023.02.06
  • Published : 2023.02.28

Abstract

Purpose: This study aimed to determine the consistency of 1-day and 3-day average dietary intake using the 24-hour diet recall method and to investigate the relationship of diet intake with physiological indicators potentially associated with diabetic complications in patients with diabetes. Methods: This study conducted a secondary data analysis using pretest data of a nursing intervention study entitled "Development of deep learning based AI coaching program for diabetic patients with high risk and examination of its effects." Data were analyzed through descriptive analysis, one-way repeated-measures analysis of variance, and Pearson correlation coefficients using SPSS 26.0. Results: The average total daily calorie intake over 3 days was 1,494.48 ± 436.47 kcal/day: 1,510.90 ± 547.76 kcal/day on the first day, 1,414.22 ± 527.58 kcal/day on the second day, 1,558.34 ± 645.83 kcal/ day on the third day, showing significant differences (F = 3.59, p = .031). The correlation coefficient between the 1-day and 3-day average dietary intake was 0.41-0.77 for each nutrient and 0.62-0.80 for each food group. Vegetable intake showed negative correlations with body mass index (BMI; r = -.19, p = .023) and triglycerides (r = -.18, p = .036), whereas dairy intake was positively associated with low-density lipoprotein-cholesterol (LDL; r = -0.18, p = .034) and triglycerides (r = .40, p<.001). Conclusion: This study demonstrated that 1-day dietary intake was highly correlated with 3-day average dietary intake using the 24-hour diet recall method. Food groups showed significant associations with physiological indicators of potential diabetic complications such as BMI, triglycerides, and LDL levels. Further studies are needed to improve the knowledge base on the relationships between physiological indicators and food groups.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education in 2019 (No. NRF2019R1I1A3A01062513).

References

  1. Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. IDF Diabetes Atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Research and Clinical Practice. 2022;183:109-119. https://doi.org/10.1016/j.diabres.2021.109119 
  2. World Health Organization (WHO). Diabetes [Internet]. Geneva: WHO; 2022 [cited 2022 December 02]. Available from: https:// www.who.int/news-room/fact-sheets/detail/diabetes 
  3. Jung C, Son JW, Kang S, Kim WJ, Kim H, Kim HS, et al. Diabetes fact sheets in Korea, 2020: an appraisal of current status. Diabetes & Metabolism Journal. 2021;45(1):1-10. https://doi.org/10.4093/dmj.2020.0254 
  4. Lee H, Lee M, Park G, Khang AR. Prevalence of chronic diabetic complications in patients with type 2 diabetes mellitus: a retrospective study based on the national health insurance service-national health screening cohort in Korea, 2002제 2015. Korean Journal of Adult Nursing. 2022;34(1):39-50. http://doi.org/10.7475/kjan.2022.34.1.39 
  5. Ghandour R, Mikki N, Rmeileh NMA, Jerden L, Norberg M, Eriksson JW, et al. Complications of type 2 diabetes mellitus in Ramallah and al-Bireh: the Palestinian diabetes complications and control study (PDCCS). Primary Care Diabetes. 2018;12(6):547-557. https://doi.org/10.1016/j.pcd.2018.07.002 
  6. Wright AK, Suarez-Ortegon MF, Read SH, Kontopantelis E, Buchan I, Emsley R, et al. Risk factor control and cardiovascular event risk in people with type 2 diabetes in primary and secondary prevention settings. Circulation. 2020;142(20): 1925-1936. https://doi.org/10.1161/CIRCULATIONAHA.120.046783 
  7. Zhao Y, Qie R, Han M, Huang S, Wu X, Zhang Y, et al. Association of BMI with cardiovascular disease incidence and mortality in patients with type 2 diabetes mellitus: a systematic review and dose-response meta-analysis of cohort studies. Nutrition, Metabolism and Cardiovascular Diseases. 2021;31(7):1976-1984. https://doi.org/10.1016/j.numecd.2021.03.003 
  8. American Diabetes Association. 5. Lifestyle management: standards of medical care in diabetes-2019. Diabetes Care. 2019;42(Supplement_1):S46-S60. https://doi.org/10.2337/dc19-S005 
  9. Franz MJ, MacLeod J, Evert A, Brown C, Gradwell E, Handu D, et al. Academy of nutrition and dietetics nutrition practice guideline for type 1 and type 2 diabetes in adults: systematic review of evidence for medical nutrition therapy effectiveness and recommendations for integration into the nutrition care process. Journal of the Academy of Nutrition and Dietetics. 2017;117(10):1659-1679. http://doi.org/10.1016/j.jand.2017.03.022 
  10. Hur KY, Moon MK, Park JS, Kim S, Lee S, Yun J, et al. 2021 clinical practice guidelines for diabetes mellitus in Korea. Diabetes & Metabolism Journal. 2021;45(4):461-481. https://doi.org/10.4093/dmj.2021.0156 
  11. Reynolds AN, Akerman AP, Mann J. Dietary fiber and whole grains in diabetes management: systematic review and meta-analyses. PLOS Medicine. 2020;17(3):e1003053. https://doi.org/10.1371/journal.pmed.1003053 
  12. Du H, Li L, Bennett D, Guo Y, Turnbull I, Yang L, et al. Fresh fruit consumption in relation to incident diabetes and diabetic vascular complications: a 7-y prospective study of 0.5 million Chinese adults. PLOS Medicine. 2017;14(4):e1002279. https://doi.org/10.1371/journal.pmed.1002279 
  13. Ejtahed HS, Mohtadi-Nia J, Homayouni-Rad A, Niafar M, Asghari-Jafarabadi M, Mofid V, et al. Effect of probiotic yogurt containing Lactobacillus acidophilus and Bifidobacterium lactis on lipid profile in individuals with type 2 diabetes mellitus. Journal of Dairy Science. 2011;94(7):3288-3294. https://doi.org/10.3168/jds.2010-4128 
  14. Gomes JMG, de Assis Costa J, de Melo Ribeiro PV, Alfenas RdCG. High calcium intake from fat-free milk, body composition and glycaemic control in adults with type 2 diabetes: a randomised crossover clinical trial. British Journal of Nutrition. 2019;122(3):301-308. https://doi.org/10.1017/S0007114519001259 
  15. Takahashi K, Kamada C, Yoshimura H, Okumura R, Iimuro S, Ohashi Y, et al. Effects of total and green vegetable intakes on glycated hemoglobin A1c and triglycerides in elderly patients with type 2 diabetes mellitus: the Japanese elderly intervention trial. Geriatrics & Gerontology International. 2012;12(Suppl. 1):50-58. https://doi.org/10.1111/j.1447-0594.2011.00812.x 
  16. Sochol KM, Johns TS, Buttar RS, Randhawa L, Sanchez E, Gal M, et al. The effects of dairy intake on insulin resistance: a systematic review and meta-analysis of randomized clinical trials. Nutrients. 2019;11(9):2237. https://doi.org/10.3390/nu11092237 
  17. Thompson FE, Subar AF. Dietary assessment methodology. In: Coulston AM, Boushey CJ, Ferruzzi MG, Delahanty LM, editors. Nutrition in the prevention and treatment of disease. 4th ed. San Diego, CA: Academic Press; 2017. p. 5-48. 
  18. Schatzkin A, Kipnis V, Carroll RJ, Midthune D, Subar AF, Bingham S, et al. A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based observing protein and energy nutrition (OPEN) study. International Journal of Epidemiology. 2003;32(6):1054-1062. https://doi.org/10.1093/ije/dyg264 
  19. Park Y, Dodd KW, Kipnis V, Thompson FE, Potischman N, Schoeller DA, et al. Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers. The American Journal of Clinical Nutrition. 2018;107(1):80-93. https://doi.org/10.1093/ajcn/nqx002 
  20. Castell GS, Serra-Majem L, Ribas-Barba L. What and how much do we eat? 24-hour dietary recall method. Nutricion Hospitalaria. 2015;31(3):46-48. https://doi.org/10.3305/nh.2015.31.sup3.8750 
  21. Shamah-Levy T, Rodriguez-Ramirez S, Gaona-Pineda EB, Cuevas-Nasu L, Carriquiry AL, Rivera JA. Three 24-hour recalls in comparison with one improve the estimates of energy and nutrient intakes in an urban Mexican population. The Journal of Nutrition. 2016;146(5):1043-1050. https://doi.org/10.3945/jn.115.219683 
  22. Huang K, Zhao L, Guo Q, Yu D, Yang Y, Cao Q, et al. Comparison of the 24 h dietary recall of two consecutive days, two non-consecutive days, three consecutive days, and three non-consecutive days for estimating dietary intake of Chinese adult. Nutrients. 2022;14(9):1960. https://doi.org/10.3390/nu14091960 
  23. Baspinar B, Ozcelik AO. Comparison of commonly used dietary assessment methods in individuals without obesity. Nutrition & Food Science. 2020;51(3):560-577. https://doi.org/10.1108/NFS-05-2020-0192 
  24. National Center for Health Statistics. What We Eat in America, DHHS-USDA Dietary Survey Integration [Internet]. Atlanta: Centers for Disease Control and Prevention (CDC); 2015 [cited 2022 December 13]. Available from: https://www.cdc.gov/nchs/nhanes/wweia.htm 
  25. Zhao F, He L, Zhao L, Guo Q, Yu D, Ju L, et al. The status of dietary energy and nutrients intakes among Chinese elderly aged 80 and above: data from the CACDNS 2015. Nutrients. 2021;13(5):1622. https://doi.org/10.3390/nu13051622 
  26. Oh S, Kim S. Blood biochemical characteristics, dietary intake, and risk factors related to poor HbA1c control in elderly Korean diabetes patients: comparison between the 4th (2007-2009) and the 7th (2016-2018) Korea National Health and Nutrition Examination Surveys. Korean Journal of Community Nutrition. 2022;27(5):406-421. https://doi.org/10.5720/kjcn.2022.27.5.406 
  27. Tapsell LC, Neale EP, Satija A, Hu FB. Foods, nutrients, and dietary patterns: interconnections and implications for dietary guidelines. Advances in Nutrition. 2016;7(3):445-454. http://dx.doi.org/10.3945/an.115.011718 
  28. Snetselaar LG, de Jesus JM, DeSilva DM, Stoody EE. Dietary guidelines for Americans, 2020-2025: understanding the scientific process, guidelines, and key recommendations. Nutrition Today. 2021;56(6):287-295. http://doi.org/10.1097/NT.0000000000000512 
  29. Maryniuk MD. From pyramids to plates to patterns: perspectives on meal planning. Diabetes Spectrum. 2017;30(2):67-70. https://doi.org/10.2337/ds16-0080 
  30. Zakerkish M, Shahmoradi S, Haidari F, Latifi SM, Moham-madshahi M. The effect of nutrition education using MyPlate on lipid profiles, glycemic indices, and inflammatory markers in diabetic patients. Clinical Nutrition Research. 2022;11(3):171-182. https://doi.org/10.7762/cnr.2022.11.3.171 
  31. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. New York: Routledge; 1988. p. 80. 
  32. Oh JY, Yang YJ, Kim BS, Kang JH. Validity and reliability of Korean version of international physical activity questionnaire (IPAQ) short form. Journal of the Korean Academy of Family Medicine. 2007;28(7):532-541. 
  33. Schober P, Vetter TR. Repeated measures designs and analysis of longitudinal data: If at first you do not succeed-try, try again. Anesthesia and Analgesia. 2018;127(2):569-575. https://doi.org/10.1213/ANE.0000000000003511 
  34. World Health Organization. World health statistics 2022: monitoring health for the SDGs sustainable development goals. 1st ed. Geneva: World Health Organization; 2022. p. 49-50. 
  35. Einarson TR, Acs A, Ludwig C, Panton UH. Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007-2017. Cardiovascular Diabetology. 2018;17(1):1-19. https://doi.org/10.1186/s12933-018-0728-6 
  36. Cradock KA, OLaighin G, Finucane FM, Gainforth HL, Quinlan LR, Ginis KAM. Behaviour change techniques targeting both diet and physical activity in type 2 diabetes: a systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity. 2017;14(18):1-17. https://doi.org/10.1186/s12966-016-0436-0 
  37. Serban CL, Chirita-Emandi A, Perva IT, Sima A, Andreescu N, Putnoky S, et al. Intake differences between subsequent 24-h dietary recalls create significant reporting bias in adults with obesity. Applied Sciences. 2022;12(5):2728. https://doi.org/10.3390/app12052728 
  38. Reynolds AN, Akerman AP, Mann J. Dietary fibre and whole grains in diabetes management: systematic review and meta-analyses. PLOS Medicine. 2020;17(3):e1003053. https://doi.org/10.1371/journal.pmed.1003053 
  39. Imai S, Fukui M, Kajiyama S. Effect of eating vegetables before carbohydrates on glucose excursions in patients with type 2 diabetes. Journal of Clinical Biochemistry and Nutrition. 2014;54(1):7-11. https://doi.org/10.3164/jcbn.13-67 
  40. Ostadrahimi A, Taghizadeh A, Mobasseri M, Farrin N, Payahoo L, Gheshlaghi ZB, et al. Effect of probiotic fermented milk (kefir) on glycemic control and lipid profile in type 2 diabetic patients: a randomized double-blind placebo-controlled clinical trial. Iranian Journal of Public Health. 2015;44(2):228-237.