Jorge SY, Almaguer GD, Rodríguez EA, Almaguer MLE

Language: Spanish
References: 27
Page: 1-7
PDF size: 432.36 Kb.

ABSTRACT

Introduction: Spinocerebellar ataxia type 2 (SCA2) is a neurodegenerative and inherited disorder. No study has been conducted to characterize nutritional intake in Cuban SCA2 patients.
Objective: To test the reproducibility and reliability of the 24-hour dietary recall method for the assessment of nutritional intake in Cuban patients with SCA2, as well as to obtain a preliminary characterization of nutritional intake in these patients.
Material and Methods: A cross-sectional test-retest study was conducted on 35 SCA2 patients. The 24-hour dietary recall questionnaire in the CERES+ system was used.
Results: Highly significant correlations between the first and second measurements were obtained for energy and nutrients intake, and according to food groups. Intraclass correlation coefficients higher than 0.75 were obtained for energy and most of the nutrients and according to food groups. Significant differences were obtained between male and female patients in terms of proteins, carbohydrates, cobalamin, iron, sodium, and zinc intake. An increase in sodium intake and a decrease in folic acid and copper intake were obtained. SCA2 patients showed increased sodium intake, and decreased folic acid and copper intake relative to nutritional intake recommendations for the Cuban population.
Conclusions: The 24-hour recall dietary questionnaire is reproducible and reliable for the assessment of nutritional intake in SCA2 patients. Preliminary characterization of nutritional intake in SCA2 patients was obtained.

REFERENCES

1. Scott SSO, Pedroso JL, Barsottini OGP, França Junior MC, Braga Neto P. Natural history and epidemiology of the spinocerebellar ataxias: Insights from the first description to nowadays. J Neurol Sci. 2020;417:117082.

2. Stoyas CA, La Spada AR. The CAG-polyglutamine repeat diseases: a clinical, molecular, genetic, and pathophysiologic nosology. Handb Clin Neurol. 2018;147:143-70.

3. Paulson HL, Shakkottai VG, Clark HB, Orr HT. Polyglutamine spinocerebellar ataxias- from genes to potential treatments. Nat Rev Neurosci. 2017; 18:613-26.

4. Auburger G, Sen NE, Meierhofer D, Basak AN, Gitler AD. Efficient prevention of neurodegenerative diseases by depletion of starvation response factor ataxin-2. Trends Neurosci. 2017;40: 507-16.

5. Lastres Becker I, Brodesser S, Lütjohann D, Azizov M, Buchmann J, Hintermann E, et al. Insulin receptor and lipid metabolism pathology in ataxin-2 knock-out mice. Hum Mol Genet. 2008;17(10):1465-81.

6. Sen NE, Canet Pons J, Halbach MV, Arsovic A, Pilatus U, Chae WH, et al. Generation of an Atxn2-CAG100 knock-in mouse reveals N-acetylaspartate production deficit due to early Nat8l dysregulation. Neurobiol Dis. 2019;31:104559.

7. Cubo E, Rivadeneyra J, Armesto D, Mariscal N, Martinez A, Camara RJ. Spanish members of the European Huntington Disease Network. Relationship between Nutritional Status and the Severity of Huntington's Disease. A Spanish Multicenter Dietary Intake Study. J Huntington´s Dis. 2015;4(1):78-85.

8. Van der Burg JM, Gardiner SL, Ludolph AC, Landwehrmeyer GB, Roos RA, Aziz NA. Body weight is a robust predictor of clinical progression in Huntington disease. Ann Neurol. 2017;82(3):479-83.

9. Diallo A, Jacobi H, Schmitz Hübsch T, Cook A, Labrum R, Durr A, et al. Body mass index decline is related to spinocerebellar ataxia disease progression. Mov Disord Clin Pract. 2017;4:689-97.

10. Yang JS, Chen PP, Lin MT, Qian MZ, Lin HX, Chen XP, et al. Association between body mass index and disease severity in Chinese spinocerebellar ataxia type 3 patients. Cerebellum. 2018;17(4):494-8.

11. Almaguer Mederos LE, Pérez Ávila I, Aguilera Rodríguez R, Velázquez Garcés M, Almaguer Gotay D, Hechavarría Pupo R, et al. Body mass index is significantly associated with disease severity in Spinocerebellar Ataxia type 2 patients. Mov Disord [Internet]. 2021;36:[Aprox. 4 p.]. Disponible en: http://doi.org/10.1002/mds.28498

12. Moore K, Hughes CF, Ward M, Hoey L, McNulty H. Diet, nutrition and the ageing brain: current evidence and new directions. Proc Nutr Soc. 2018;77(2):152-63.

13. Marder K, Zhao H, Eberly S, Tanner CM, Oakes D, Shoulson I, et al. Dietary intake in adults at risk for Huntington disease: analysis of PHAROS research participants. Neurology. 2009;73(5):385-92.

14. Gibson RS, Charrondiere UR, Bell W. Measurement errors in dietary assessment using self-reported 24-hour recalls in low-income countries and strategies for their prevention. Adv Nutr. 2017;8:980-91.

15. Salvador Castell G, Serra Majem L, Ribas Barba L. ¿Qué y cuánto comemos? El método Recuerdo de 24 horas. Rev Esp Nutr Comunitaria. 2015;21(Supl. 1):42-4.

16. Rodríguez A, Mustelier H. Sistema automatizado Ceres+ para la evaluación del consumo de alimentos. RCAN. 2013;23(2):208-20.

17. Ropper AH, Brown RH. Principles of neurology. 10 ed. New York: McGraw-Hill; 2010.

18. Hernández Triana M, Porrata Maury C, Jiménez Acosta S, Rodríguez Suárez A, Carrillo Farnés O, García Uriarte A, et al. Recomendaciones nutricionales para la población cubana, 2008 Estudio multicéntrico. Rev Cub Invest Bioméd. 2009;28:54-6.

19. IBM Corporation 2011. SPSS (data analysis software system), version 20. New York: IBM; 2020.

20. Gillette Guyonnet S, Secher M, Vellas B. Nutrition and neurodegeneration: epidemiological evidence and challenges for future research. Br J Clin Pharmacol. 2013;75(3):738-55.

21. Global Burden of Disease (GBD). Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1545-602.

22. Botchway B, Moore MK, Akinleye FO, Iyer IC, Fang M. Nutrition: review on the possible treatment for Alzheimer's disease. J Alzheimers Dis. 2018;61(3):867-83.

23. Erro R, Brigo F, Tamburin S, Zamboni M, Antonini A, Tinazzi M. Nutritional habits, risk, and progression of Parkinson disease. J Neurol. 2018;265(1):12-3.

24. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155-63.

25. Casas R, Castro Barquero S, Estruch R, Sacanella E. Nutrition and cardiovascular health. Int J Mol Sci. 2018;19(12):3988.

26. San Cristóbal R, Navas Carretero S, Martínez González MA, Ordovas JM, Martínes JA. Contribution of macronutrients to obesity: implications for precision nutrition. Nat Rev Endocrinol. 2020;16(6):305-20.

27. Shlisky J, Bloom DE, Beaudreault AR, Tucker KL, Keller HH, Freund Levi Y, et al. Nutritional Considerations for Healthy Aging and Reduction in Age-Related Chronic Disease. Adv Nutr. 2017;8(1):17-26.