Applicability of new software for use in nutritional assessment

Authors

DOI:

https://doi.org/10.33448/rsd-v11i6.28835

Keywords:

Technology; Nutritional status; Diffusion of innovations; Nutrition software; Portable software applications; Teaching.

Abstract

With increasing access to technology, healthcare applications have become quite popular, making life easier for healthcare professionals. In the field of nutrition, it is common to use software that helps in the area of ​​nutritional assessment. Thus, the objective of the study was to seek new technologies that can be applied to nutritional assessment. To this end, an integrative review was carried out using the System Search Flow (SSF) method, in which the terms “software” and “nutritional assessment” were searched in the MEDLINE, Scielo and Microsoft Academic databases. After the exclusion criteria and full reading of the text, it was seen that few articles deal with this topic, a total of 15 of the 304 articles analyzed. Of the articles found, most refer to new methods of estimating energy consumption, usually through images, with generally few articles discussing new technologies. It is important to consider that many of these new technologies in development and others that, although the emphasis is not on nutritional assessment, may be applicable in this area. Most nutrition software produced in Brazil is aimed at the general population and non-professional nutritionists, without a reliable database for what is offered. Finally, this study found several technologies that can be added to existing software, contributing to a continuous progress between information technology, nutrition and the improvement of the population's health.

References

Alves, M. M. (2016). Desenvolvimento de um software para avaliação nutricional antropométrica utilizando Visual Basic For Applications. 2016. Trabalho de Conclusão de Curso (Graduação em Nutrição) - Departamento de Nutrição, Universidade Federal do Rio Grande do Norte. https://monografias.ufrn.br/jspui/handle/123456789/2423

Anthimopoulos, M., D., J., Shevchik, S., Ransford, B. H., Duke, D., Diem, P., & Mougiakakou, S. (2015). Computer vision-based carbohydrate estimation for type 1 patients with diabetes using smartphones. Journal of Diabetes Science and Technology, 9(3), 507–515. https://doi.org/10.1177/1932296815580159

Ashman, A. M., Collins, C. E., Brown, L. J., Rae, K. M., & Rollo, M. E. (2016). A Brief Tool to Assess Image-Based Dietary Records and Guide Nutrition Counselling Among Pregnant Women: An Evaluation. JMIR MHealth and UHealth, 4(4), e123. https://doi.org/10.2196/mhealth.6469

Becker, S., Miron-Shatz, T., Schumacher, N., Krocza, J., Diamantidis, C., & Albrecht, U.-V. (2014). mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR MHealth and UHealth, 2(2), e24. https://doi.org/10.2196/mhealth.3328

Biltoft-Jensen, A., Trolle, E., Christensen, T., Islam, N., Andersen, L. F., Egenfeldt-Nielsen, S., & Tetens, I. (2014). WebDASC: A web-based dietary assessment software for 8-11-year-old Danish children. Journal of Human Nutrition and Dietetics, 27(SUPPL.1), 43–53. https://doi.org/10.1111/j.1365-277X.2012.01257.x

Boushey, C. J., Spoden, M., Zhu, F. M., Delp, E. J., & Kerr, D. A. (2017). New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. The Proceedings of the Nutrition Society, 76(3), 283–294. https://doi.org/10.1017/S0029665116002913

Brasil. (2017). Manual Operacional para uso do Sistema de Vigilância Alimentar e Nutricional. SISVAN – VERSÃO 3.0. Brasília, - DF, 2017.

Braz, V. N., & Lopes, M. H. B. D. M. (2019). Evaluation of mobile applications related to nutrition. Public Health Nutrition, 22(7), 1209–1214. https://doi.org/10.1017/S136898001800109X

Chi, Y.-L., Chen, T.-Y., & Tsai, W.-T. (2015). A chronic disease dietary consultation system using OWL-based ontologies and semantic rules. Journal of Biomedical Informatics, 53, 208–219. https://doi.org/10.1016/j.jbi.2014.11.001

Costa, K., & Orlovski, R. (2014) A importância da utilização do software na área da saúde. Revista Científica Semana Acadêmica, 50(1), 1-21. https://semanaacademica.org.br/artigo/importancia-da-utilizacao-do-software-na-area-da-saude

Daniel, C. R., Kapur, K., McAdams, M. J., Dixit-Joshi, S., Devasenapathy, N., Shetty, H., Hariharan, S., George, P. S., Mathew, A., & Sinha, R. (2014). Development of a field-friendly automated dietary assessment tool and nutrient database for India. British Journal of Nutrition, 111(1), 160–171. https://doi.org/10.1017/S0007114513001864

Diego, L. G., Cuervo, M., & Martínez, J. A. (2013). Programa informático para la realización de una valoración nutricional fenotípica y genotípica integral. Nutricion Hospitalaria, 28(5), 1622–1632. https://doi.org/10.3305/nh.2013.28.5.6622

Diego, L., Cuervo, M., & Martínez, J. A. (2015). Development of a Learning-Oriented Computer Assisted Instruction Designed to Improve Skills in the Clinical Assessment of the Nutritional Status: A Pilot Evaluation. PLOS ONE, 10(5), e0126345. https://doi.org/10.1371/journal.pone.0126345

Ferenhof, H., & Fernandes, R. (2016). Desmistificando a revisão de literatura como base para redação científica: método SFF. Revista ACB, 21(3), 550-563. https://revista.acbsc.org.br/racb/article/view/1194

Fonseca de Olieira, A. R., & Alencar, M. S. de M. (2017). O uso de aplicativos de saúde para dispositivos móveis como fontes de informação e educação em saúde. RDBCI: Revista Digital de Biblioteconomia e Ciência Da Informação, 15(1), 234. https://doi.org/10.20396/rdbci.v15i1.8648137

Gregorio, M. C., Ramos, M. B., Carillo, G. A. O., Fontán, E. G., González, M. Á. Á., & Carretero, M. Á. C. (2015). Diseño y desarrollo de una aplicación de valoración nutricional para smartphones y tablets android®. Nutricion Hospitalaria, 31(3), 1323–1329. https://doi.org/10.3305/nh.2015.31.3.8111

GSMA. (2019) The Mobile Economy 2019. [Web page] https://www.gsma.com/r/mobileeconomy/.

Herrera, M. C., & Chan, C. B. (2018). Narrative Review of New Methods for Assessing Food and Energy Intake. Nutrients, 10(8). https://doi.org/10.3390/nu10081064

Homar, P. S., Blanco, M. P., Hernández, M. Á. C., Cortés, F. F., & Sotelo, J. M. (2015). Development of integrated support software for clinical nutrition. Farmacia Hospitalaria, 39(5), 240–268. https://doi.org/10.7399/fh.2015.39.5.8807

Lieffers, J. R. L., & Hanning, R. M. (2012). Dietary assessment and self-monitoring: With nutrition applications for mobile devices. In Canadian Journal of Dietetic Practice and Research (Vol. 73, Issue 3). Canadian Journal of Dietetic Practice and Research. https://doi.org/10.3148/73.3.2012.e253

Martin, C. K., Nicklas, T., Gunturk, B., Correa, J. B., Allen, H. R., & Champagne, C. (2014). Measuring food intake with digital photography. Journal of Human Nutrition and Dietetics, 27(SUPPL.1), 72–81. https://doi.org/10.1111/jhn.12014

Mussoi, T. (2014). Avaliação Nutricional Na prática Clínica. Guanabara Koogan. 2014.

Skouroliakou, M., Kakavelaki, C., Diamantopoulos, K., Stathopoulou, M., Vourvouhaki, E., & Souliotis, K. (2009). The Development and Implementation of a Software Tool and its Effect on the Quality of Provided Clinical Nutritional Therapy in Hospitalized Patients. Journal of the American Medical Informatics Association, 16(6), 802–805. https://doi.org/10.1197/jamia.M2894

Who (2011). WHO Anthro for Personal Computers. Software for assessing growth and development of the world's children. Department of Nutrition for Health and Development, Geneva, Switzerland [Web Page] < https://www.who.int/tools/child-growth-standards/software>

Published

22/04/2022

How to Cite

SOARES, M. M. de M. .; ARAÚJO, A. de A.; BARBOSA, M. S. da S.; BEZERRA, G. K. de A.; OLIVEIRA, J. S.; CUNHA, F. T.; MEDEIROS, Ângela; OLIVEIRA, D. C. de. Applicability of new software for use in nutritional assessment. Research, Society and Development, [S. l.], v. 11, n. 6, p. e10811628835, 2022. DOI: 10.33448/rsd-v11i6.28835. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/28835. Acesso em: 22 may. 2022.

Issue

Section

Health Sciences