Digital health literacy and diet quality
Letramento digital em saúde e qualidade da dieta
Palavras-chave:
Health education, Digital literacy, Nutrition, Eating habits, Social determinants of healthResumo
The objective of this study was to evaluate the correlation between the level of digital health literacy (DHL) and diet quality (DQ). Information was collected from users of digital social networks through online questionnaires containing sociodemographic data, questions from the Digital Health Literacy Instrument and a 24-hour recall. To verify the correlation between the level of DHL and QD, the Spearman correlation test and the chi-square test were applied for the association between DHL and QD with sociodemographic factors. The diet of 71% of respondents was classified as “needs modification”. There was an association between higher levels of DHL and younger age, higher income and higher education. There was no significant correlation between DHL level and QD. It was observed that sociodemographic factors are significant for the development of digital health literacy. Assessing the reliability of information was the greatest difficulty reported for health searches.
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Ahmed, M. H., Guadie, H. A., Ngusie, H. S., Teferi, G. H., Gullslett, M. K., Hailegebreal, S., Hunde, M. K., Donacho, D. O., Tilahun, B., Siraj, S. S., Debele, G. R., Hajure, M., & Mengiste, S. A. (2022). Digital Health Literacy During the COVID-19 Pandemic Among Health Care Providers in Resource-Limited Settings: Cross-sectional Study. JMIR nursing, 5(1), e39866. https://doi.org/10.2196/39866
Alvarenga M, et al. 2019. Nutrição Comportamental, 2nd ed. Manole.
Avelar A E, Rezende D C. (2013). Hábitos alimentares fora do lar: um estudo de caso em lavras – MG. Organizações Rurais & Agroindústriais. 15(1). DOI: 10.22004/ag.econ.262692
Baral, J., Karki, K. B., Thapa, P., Timalsina, A., Bhandari, R., Bhandari, R., Kharel, B., & Adhikari, N. (2022). Adherence to Dietary Recommendation and Its Associated Factors among People with Type 2 Diabetes: A Cross-Sectional Study in Nepal. Journal of diabetes research, 2022, 6136059. https://doi.org/10.1155/2022/6136059
Bernard, S., Cooke, T., Cole, T., Hachani, L., & Bernard, J. (2018). Quality and readability of online information about type 2 diabetes and nutrition. JAAPA : official journal of the American Academy of Physician Assistants, 31(11), 41–44. https://doi.org/10.1097/01.JAA.0000546481.02560.4e
BRASIL. (2018). Política Nacional de Promoção da Saúde: PNPS: Anexo I da Portaria de Consolidação nº 2, de 28 de setembro de 2017, que consolida as normas sobre as políticas nacionais de saúde do SUS. Brasília: Ministério da Saúde.
Britt, R. K., Collins, W. B., Wilson, K., Linnemeier, G., & Englebert, A. M. (2017). eHealth Literacy and Health Behaviors Affecting Modern College Students: A Pilot Study of Issues Identified by the American College Health Association. Journal of medical Internet research, 19(12), e392. https://doi.org/10.2196/jmir.3100
Camossa, A. C. A. et al. (2005). Educação Nutricional: Uma Área em Desenvolvimento. Alimentos e Nutrição Araraquara. 16 (4), 349-354. https://doi.org/10.1590/0102-311x00170112
Chen, Y. Y., Li, C. M., Liang, J. C., & Tsai, C. C. (2018). Health Information Obtained From the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey. Journal of medical Internet research, 20(2), e47. https://doi.org/10.2196/jmir.9370
Colatruglio S, Slater J. (2016). Challenges to acquiring and utilizing food literacy: Perceptions of young Canadian adults. CanFoodStudies. 3(1):96-118. https://doi.org/10.15353/cfs-rcea.v3i1.72
Connolly, K. K., & Crosby, M. E. (2014). Examining e-Health literacy and the digital divide in an underserved population in Hawai'i. Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health, 73(2), 44–48.
Cui, G. H., Li, S. J., Yin, Y. T., Chen, L. J., Li, J. Q., Liang, F. Y., Liu, X. Y., & Chen, L. (2021). The relationship among social capital, eHealth literacy and health behaviours in Chinese elderly people: a cross-sectional study. BMC public health, 21(1), 45. https://doi.org/10.1186/s12889-020-10037-4
Cunha C M L, et al. (2022). Associação entre padrões alimentares com fatores socioeconômicos e ambiente alimentar em uma cidade do Sul do Brasil. Ciência & Saúde Coletiva 27 (2):687-700. https://doi.org/10.1590/1413-81232022272.37322020
Dadaczynski, K., Rathmann, K., Schricker, J., Bilz, L., Sudeck, G., Fischer, S. M., Janiczek, O., & Quilling, E. (2022). Digitale Gesundheitskompetenz von Schülerinnen und Schülern. Ausprägung und Assoziationen mit dem Bewegungs- und Ernährungsverhalten [Digital health literacy of pupils. Level and associations with physical activity and dietary behavior]. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 65(7-8), 784–794. https://doi.org/10.1007/s00103-022-03548-5
Doustmohammadian, A., Omidvar, N., Keshavarz-Mohammadi, N., Eini-Zinab, H., Amini, M., & Abdollahi, M. (2022). Development of a conceptual framework of food and nutrition literacy in children. BMC nutrition, 8(1), 91. https://doi.org/10.1186/s40795-022-00590-z
Estima C C P & Philippi S T & Alvarenga M S. (2009). Rev. bras. nutr. Clínica. 24(4): 263-268. https://doi.org/10.1590/1413-81232020254.17492018
Fassier, P., Chhim, A. S., Andreeva, V. A., Hercberg, S., Latino-Martel, P., Pouchieu, C., & Touvier, M. (2016). Seeking health- and nutrition-related information on the Internet in a large population of French adults: results of the NutriNet-Santé study. The British journal of nutrition, 115(11), 2039–2046. https://doi.org/10.1017/S0007114516001355
Fernandes A, Menezes J, Sá S, Vidal V, et al. (2014). Recomendações dietéticas na diabetes: rigor da informação e qualidade dos sites portugueses. Egitania Sciencia. 14(8). https://doi.org/10.46691/es.v1i1410
FIESP (2014) A Mesa dos Brasileiros: Transformações, Confirmações e Contradições. http://hotsite.fiesp.com.br/amesadosbrasileiros/amesadosbrasileiros.
Gourounti, K., Sarantaki, A., Dafnou, M. E., Hadjigeorgiou, E., Lykeridou, A., & Middleton, N. (2022). A qualitative study of assessing learning needs and digital health literacy in pregnancy: Baby Buddy Forward Greek findings. European journal of midwifery, 6, 55. https://doi.org/10.18332/ejm/150770
Horch K. (2021). Searching for health information on the Internet - Results from the KomPaS study. Journal of health monitoring, 6(2), 67–73. https://doi.org/10.25646/7147
Jomori M M & Proença R P C & Calvo M C M. (2008). Determinantes de escolha alimentar. Revista de Nutrição [online]. 21(1):63-73. https://doi.org/10.1590/S1415-52732008000100007
Lima M B P & Alcantara P I & Amaral S. (2021). Alimentação na primeira infância: conhecimentos, atitudes e práticas de beneficiários do Programa Bolsa Família. Brasília: UNICEF.
Nguyen, T. T., Nguyen, M. H., Pham, T. T. M., Le, V. T., Nguyen, T. T., Luong, T. C., Do, B. N., Dao, H. K., Nguyen, H. C., Ha, T. H., Pham, L. V., Nguyen, P. B., Nguyen, H. T. T., Do, T. V., Nguyen, H. Q., Trinh, M. V., Le, T. T., Tra, A. L., Nguyen, T. T. P., Nguyen, K. T., … Duong, T. V. (2021). Negative Impacts of COVID-19 Induced Lockdown on Changes in Eating Behavior, Physical Activity, and Mental Health as Modified by Digital Healthy Diet Literacy and eHealth Literacy. Frontiers in nutrition, 8, 774328. https://doi.org/10.3389/fnut.2021.774328
Norman, C. D., & Skinner, H. A. (2006). eHealth Literacy: Essential Skills for Consumer Health in a Networked World. Journal of medical Internet research, 8(2), e9. https://doi.org/10.2196/jmir.8.2.e9
Previdelli A N, et al. (2011). Índice de Qualidade da Dieta Revisado para população brasileira. Revista de Saúde Pública. 45(4), 794-798. https://doi.org/10.1590/S0034-89102011005000035
Sawyer ADM, van Lenthe F, Kamphuis CBM, et al. (2021). Dynamics of the complex food environment underlying dietary intake in low-income groups: a systems map of associations extracted from a systematic umbrella literature review. Int J Behav Nutr Phys Act. 13;18(1):96. https://doi.org/10.1186/s12966-021-01164-1
Shiferaw, K. B., Tilahun, B. C., Endehabtu, B. F., Gullslett, M. K., & Mengiste, S. A. (2020). E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey. BMC medical informatics and decision making, 20(1), 181. https://doi.org/10.1186/s12911-020-01202-1
Silva BL dos S, Rocha M da S, Silva DD da, Torres BLPM, et al. (2020). A influência da mídia sobre o comportamento alimentar: fazendo refletir a adoção de dietas restritivas. 6(10):76028-36. https://doi.org/10.34117/bjdv6n10-141
Sobal, J., & Bisogni, C. A. (2009). Constructing food choice decisions. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 38 Suppl 1, S37–S46. https://doi.org/10.1007/s12160-009-9124-5
Vigitel Brasil. (2021). Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2021. Brasília: Ministério da Saúde.
Zwierczyk, U., Sowada, C., & Duplaga, M. (2022). Eating Choices-The Roles of Motivation and Health Literacy: A Cross-Sectional Study. Nutrients, 14(19), 4026. https://doi.org/10.3390/nu14194026
