My fluid diary sebagai alternatif pencatatan asupan cairan harian: studi crossover pada remaja putri

https://doi.org/10.22146/ijcn.66931

Hiya Alfi Rahmah(1*), Izka Sofiyya Wahyurin(2), Ajeng Dian Purnamasari(3), Farah Paramita(4)

(1) Jurusan Ilmu Gizi, Fakultas Ilmu-ilmu Kesehatan Universitas Jenderal Soedirman, Purwokerto, Jawa Tengah
(2) Jurusan Ilmu Gizi, Fakultas Ilmu-ilmu Kesehatan Universitas Jenderal Soedirman, Purwokerto, Jawa Tengah
(3) Jurusan Pendidikan Jasmani, Fakultas Ilmu-ilmu Kesehatan Universitas Jenderal Soedirman, Purwokerto, Jawa Tengah
(4) Departemen Ilmu Kesehatan Masyarakat, Fakultas Ilmu Keolahragaan, Universitas Negeri Malang, Malang, Jawa Timur
(*) Corresponding Author

Abstract


My fluid diary as an alternative tool for daily recording fluid intake: cross over study among adolescent girls

Background: Water plays a vital role in the human body. The respondents found the fluid intake record using paper-based excessively burdensome, so a smartphone-based application was developed as a drink intake recording tool.

Objective: Assessing the validity of My Fluid Diary as a fluid intake recording tool using 7-day records as a reference method.

Methods:  A crossover study was conducted involving 38 female students of SMKN 1 Banyumas. Total water intake was recorded for seven days for each method (smartphone-based and paper-based), with 14 days washout period between the two methods. To determine the difference in water intake between the two methods, the Wilcoxon Signed Rank Test was used; Bland-Altman plots and linear regression tests were used to determine the agreement between the two methods; and the Spearman test was used to determine the relationship between water intake and hydration status.

Results: Water intake was significantly higher with smartphone application-based recording than with paper-based recording (1008.3 (421.3 – 2363) and 763.2 (435 – 1875.5); p 0.0001), with agreement limit of 1, 11 – 3.00 and ß -value (0.296) p-value 0.05 in the regression test, indicating no fixed bias. The findings of recording water intake and hydration status were significantly correlated with the two methods (p-value<0,05). The Spearman correlation value shows a negative number in both ways with sufficient correlation strength (0.03 – 0.05).

Conclusion:  My Fluid Diary smartphone application could be used as an alternate tool for recording fluid intake based on the agreement and hydration status that has been studied. Further research is expected to involve more respondents.


Keywords


7-day fluid record; hydration status; smartphone-based application; water intake

Full Text:

PDF


References

  1. Armstrong LE. Challenges of linking chronic dehydration and fluid to health outcomes. Nutr Rev. 2012;70(Suppl 2):S121–7. doi: 10.1111/j.1753-4887.2012.00539.x
  2. Ganio MS, Armstrong LE, Casa DJ, McDermott BP, Lee EC, et al. Mild dehydration impairs cognitive performance and mood of men. Br J Nutr. 2011;106(10):1535–43. doi: 10.1017/s0007114511002005
  3. Ritz P, Vol S, Berrut G, Tack I, Arnaud MJ, Tichet J. Influence of gender and body composition on hydration and body water spaces. Clin Nutr. 2008;27:740–6. doi: 10.1016/j.clnu.2008.07.010
  4. Kavouras SA, Tack I, Gandy J. Master class: 2018 healthy hydration education program. Jakarta: Indonesian Hydration Working Group; 2018.
  5. Stookey JD, Koenig J. Advances in water intake assessment. Eur J Nutr. 2015;54(Suppl2):S9–10. doi: 10.1007/s00394-015-0957-3
  6. Guelinckx I, Iglesia I, Bottin JH, Miguel-Etayo PD, Gonzales-Gil EM, Salas-Salvadó J, et al. Intake of water and beverages of children and adolescents in 13 countries. Eur J Nutr. 2015;54(Suppl2):S69–79. doi: 10.1007/s00394-015-0955-5
  7. Bardosono S, Monrozier R, Permadhi I, Manikam NRM, Pohan R, Guelinckx I. Total fluid intake assessed with a 7-day fluid record versus a 24-h dietary recall: a crossover study in Indonesian adolescents and adults. Eur J Nutr. 2015;54(2):17–25. doi: 10.1007/s00394-015-0954-6
  8. Jimoh F, Bunn D, Hooper L. Assessment of a self-reported drinks diary for the estimation of drinks intake by care home residents: fluid intake study in the elderly (FISE). J Nutr Health Aging. 2015;19(5):491–6. doi: 10.1007/s12603-015-0458-3
  9. Monnerie B, Tavoularis LG, Guelinckx I, Hebel P, Boisvieux T, A.Cousin, et al. A cross-over study comparing an online versus a paper 7-day food record : focus on total water intake data and participant’s perception of the records. Eur J Nutr. 2015;54(Suppl2):S27–34. doi: 10.1007/s00394-015-0945-7
  10. Glanz K, Rimer KB, Viswanath K. Health behavior and health education theory, research and practice. 4th ed. San Fransisco: John Wiley & Sons, Inc.; 2008.
  11. Thiese MS. Observational and interventional study design types; an overview. Biochemia Medica. 2014;24(2):199–210. doi: 10.11613/BM.2014.022
  12. Cleophas JM. Carryover bias in clinical investigations. J Clin Pharmacol. 1993;33:799–804. doi: 10.1002/j.1552-4604.1993.tb01954.x
  13. Dahlan MS. Besar sampel dalam penelitian kedokteran dan kesehatan. Seri 2. Jakarta: AlqaPrint; 2006.
  14. Casa DJ, Armstrong LE, Hillman SK, Montain SJ, Reiff R, Rich BS, et al. National athletic trainers’ association position statement: fluid replacement for athletes. J Athl Train. 2000 Apr;35(2):212-24.
  15. Shen D. Estimate carryover effect in clinical trial crossover designs. [series online] 2006 [cited 2009 Jan 3]. Available from: URL: https://www.lexjansen.com/pharmasug/2006/Posters/PO16.pdf
  16. Giavarina D. Understanding Bland Altman analysis. Biochemia Medica. 2015;25(2):141–51. doi: 10.11613/BM.2015.015
  17. Akoglu H. User’s guide to correlation coefficients. Turk J Emerg Med. 2018;18(3):91-93. doi: 10.1016/j.tjem.2018.08.001
  18. Badan Pusat Statistik. Statistik telekomunikasi Indonesia 2019. Jakarta: BPS; 2019.
  19. Singh MKK, Samah NA. Impact of smartphone: a review on positive and negative effects on students. Asian Social Science. 2018;14(11):83. doi: 10.5539/ass.v14n11p83
  20. Muflih M, Hamzah H, Puniawan WA. Penggunaan smartphone dan interaksi sosial pada remaja di SMA Negeri I Kalasan Sleman Yogyakarta. Idea Nursing Journal. 2017;8(1):12–8.
  21. Ahmed M, Mandic I, Lou W, Goodman L, Jacobs I, L’Abbé MR. Validation of a tablet application for assessing dietary intakes compared with the measured food intake/food waste method in military personnel consuming field rations. Nutrients. 2017;9(3):200. doi: 10.3390/nu9030200
  22. Timon CM, Astell AJ, Hwang F, Adlam TD, Smith T, Maclean L, et al. The validation of a computer-based food record for older adults: the Novel Assessment of Nutrition and Ageing (NANA) method. Br J Nutr. 2015;113(4):654–64. doi: 10.1017/S0007114514003808
  23. Sharp DB, Allman-Farinelli M. Feasibility and validity of mobile phones to assess dietary intake. Nutrition. 2014;30(11-12):1257-66. doi: 10.1016/j.nut.2014.02.020
  24. Lieffers JRL, Vance VA, Hanning RM. Use of mobile device applications in Canadian dietetic practice. Can J Diet Pract Res. 2014;75(1):41–7. doi: 10.3148/75.1.2014.41
  25. Ludbrook J. Comparing methods of measurement. Clin Exp Pharmacol Physiol. 1997;24(2):193–203. doi: 10.1111/j.1440-1681.1997.tb01807.x
  26. Gandy J. Water intake: validity of population assessment and recommendations. Eur J Nutr. 2015;54(Suppl2):S11–6. doi: 10.1007/s00394-015-0944-8
  27. Baron S, Courbebaisse M, Lepicard EM, Friedlander G. Assessment of hydration status in a large population. Br J Nutr. 2015;113(1):147–58. doi: 10.1017/S0007114514003213
  28. Mulyani EY, Jus’at I, Angkasa D, Anggiruling DO, Stanin E. Pengetahuan, sikap, perilaku, dan asupan gizi berdasarkan status hidrasi ibu hamil. Jurnal Gizi Klinik Indonesia. 2020;17(2):87. doi: 10.22146/ijcn.59101



DOI: https://doi.org/10.22146/ijcn.66931

Article Metrics

Abstract views : 1707 | views : 1752

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2022 Jurnal Gizi Klinik Indonesia

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Jurnal Gizi Klinik Indonesia (JGKI) Indexed by:
 
  

  free web stats View My Stats