Analysis of understanding of equal nutrition knowledge among family members on a healthcare level

Authors

  • Didik Cahyono Universitas Mulawarman, Indonesia
  • Pande Ayu Naya Kasih Permatananda Universitas Warmadewa, Indonesia
  • Zulfayeni Zulfayeni Dinas Kesehatan Provinsi Riau, Bidang gizi dan Kesehatan Masyarakat, Indonesia
  • Ian Astarina Mas'ud Universitas Bosowa, Indonesia

DOI:

https://doi.org/10.35335/midwifery.v11i2.1251

Keywords:

Nutrition Education, Family, Healthcare, Equal Knowledge, Chronic Diseases, Ethical Considerations

Abstract

This study aims to investigate the current state of nutrition knowledge among family members and explore the factors that influence the inequality in nutrition knowledge within households. It also aims to examine the effects of unequal nutrition knowledge on family health and propose strategies to promote equal nutrition knowledge among family members. The study was employed a mixed-methods approach, utilizing quantitative and qualitative data collection methods. The survey questionnaire was developed based on existing literature and pre-tested to ensure validity and reliability. The data collected will be analyzed using statistical software, and qualitative data will be analyzed using content analysis. The study's results provided insights into the current state of nutrition knowledge in households and the factors contributing to the inequality in nutrition knowledge. The study's findings also shed light on the effects of unequal nutrition knowledge on family health and the strategies that can be implemented to promote equal nutrition knowledge among family members. This study is significant as it can inform healthcare professionals and policymakers on the importance of nutrition education in households and encourage the promotion of healthy eating habits.

Downloads

Download data is not yet available.

References

Ali, M., Rathnayake, R. M. L. D., Zhang, L., Ishii, S., Kindaichi, T., Satoh, H., Toyoda, S., Yoshida, N., & Okabe, S. (2016). Source identification of nitrous oxide emission pathways from a single-stage nitritation-anammox granular reactor. Water Research, 102, 147–157. https://doi.org/10.1016/j.watres.2016.06.034

Bertolini, G., D’Amico, R., Nardi, D., Tinazzi, A., & Apolone, G. (2000). One model, several results: The paradox of the Hosmer-Lemeshow goodness-of-fit test for the logistic regression model. Journal of Epidemiology and Biostatistics, 5(4), 251–253.

Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., & Black, M. J. (2016). Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Computer Vision – ECCV 2016 (pp. 561–578). Springer International Publishing. https://doi.org/10.1007/978-3-319-46454-1_34

Cairns, J. E., Hellin, J., Sonder, K., Araus, J. L., MacRobert, J. F., Thierfelder, C., & Prasanna, B. M. (2013). Adapting maize production to climate change in sub-Saharan Africa. Food Security, 5(3), 345–360. https://doi.org/10.1007/s12571-013-0256-x

Classen, A. T., Sundqvist, M. K., Henning, J. A., Newman, G. S., Moore, J. A. M., Cregger, M. A., Moorhead, L. C., & Patterson, C. M. (2015). Direct and indirect effects of climate change on soil microbial and soil microbial-plant interactions: What lies ahead? Ecosphere, 6(8), art130. https://doi.org/10.1890/ES15-00217.1

Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. John Wiley & Sons.

Freedman, W. L., Madore, B. F., Hatt, D., Hoyt, T. J., Jang, I. S., Beaton, R. L., Burns, C. R., Lee, M. G., Monson, A. J., Neeley, J. R., Phillips, M. M., Rich, J. A., & Seibert, M. (2019). The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch*. The Astrophysical Journal, 882(1), 34. https://doi.org/10.3847/1538-4357/ab2f73

Gifford, R., & Nilsson, A. (2014). Personal and social factors that influence pro-environmental concern and behaviour: A review. International Journal of Psychology, 49(3), 141–157. https://doi.org/10.1002/ijop.12034

Hobbs, M., Owen, S., & Gerber, L. (2017). Liquid love? Dating apps, sex, relationships and the digital transformation of intimacy. Journal of Sociology, 53(2), 271–284. https://doi.org/10.1177/1440783316662718

Hruby, A., & Hu, F. B. (2015). The Epidemiology of Obesity: A Big Picture. PharmacoEconomics, 33(7), 673–689. https://doi.org/10.1007/s40273-014-0243-x

Ilyas, R. A., Sapuan, S. M., Harussani, M. M., Hakimi, M. Y. a. Y., Haziq, M. Z. M., Atikah, M. S. N., Asyraf, M. R. M., Ishak, M. R., Razman, M. R., Nurazzi, N. M., Norrrahim, M. N. F., Abral, H., & Asrofi, M. (2021). Polylactic Acid (PLA) Biocomposite: Processing, Additive Manufacturing and Advanced Applications. Polymers, 13(8), Article 8. https://doi.org/10.3390/polym13081326

Jr, L. R. F., & Fulkerson, D. R. (2015). Flows in Networks. Princeton University Press.

Kaplowitz, M. D., Hadlock, T. D., & Levine, R. (2004). A Comparison of Web and Mail Survey Response Rates. Public Opinion Quarterly, 68(1), 94–101. https://doi.org/10.1093/poq/nfh006

Khachatryan, V., Sirunyan, A. M., Tumasyan, A., Adam, W., Asilar, E., Bergauer, T., Brandstetter, J., Brondolin, E., Dragicevic, M., Erö, J., Friedl, M., Frühwirth, R., Ghete, V. M., Hartl, C., Hörmann, N., Hrubec, J., Jeitler, M., Knünz, V., König, A., … Davignon, O. (2016). Event generator tunes obtained from underlying event and multiparton scattering measurements. The European Physical Journal C, 76(3), 155. https://doi.org/10.1140/epjc/s10052-016-3988-x

Kim, H., Lee, J.-H., & Na, S.-H. (2017). Predictor-estimator using multilevel task learning with stack propagation for neural quality estimation. Proceedings of the Second Conference on Machine Translation, 562–568.

Marijon, E., Ou, P., Celermajer, D. S., Ferreira, B., Mocumbi, A. O., Jani, D., Paquet, C., Jacob, S., Sidi, D., & Jouven, X. (2007). Prevalence of Rheumatic Heart Disease Detected by Echocardiographic Screening. New England Journal of Medicine, 357(5), 470–476. https://doi.org/10.1056/NEJMoa065085

Murray, C. J. L., Barber, R. M., Foreman, K. J., Ozgoren, A. A., Abd-Allah, F., Abera, S. F., Aboyans, V., Abraham, J. P., Abubakar, I., Abu-Raddad, L. J., Abu-Rmeileh, N. M., Achoki, T., Ackerman, I. N., Ademi, Z., Adou, A. K., Adsuar, J. C., Afshin, A., Agardh, E. E., Alam, S. S., … Vos, T. (2015). Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: Quantifying the epidemiological transition. The Lancet, 386(10009), 2145–2191. https://doi.org/10.1016/S0140-6736(15)61340-X

Oliveira, A. S., Schlink, B. R., Hairston, W. D., König, P., & Ferris, D. P. (2016). Induction and separation of motion artifacts in EEG data using a mobile phantom head device. Journal of Neural Engineering, 13(3), 036014. https://doi.org/10.1088/1741-2560/13/3/036014

Organization, W. H. (2018). World Health Statistics 2018: Monitoring Health for the SDGs, Sustainable Development Goals. World Health Organization.

Organization, W. H. (2019). WHO Global Report on Traditional and Complementary Medicine 2019. World Health Organization.

Pampel, F. C., Krueger, P. M., & Denney, J. T. (2010). Socioeconomic Disparities in Health Behaviors. Annual Review of Sociology, 36(1), 349–370. https://doi.org/10.1146/annurev.soc.012809.102529

Patton, M. Q. (2002). Two Decades of Developments in Qualitative Inquiry: A Personal, Experiential Perspective. Qualitative Social Work, 1(3), 261–283. https://doi.org/10.1177/1473325002001003636

Pelicioni, P. H. S., Brodie, M. A., Latt, M. D., Menant, J. C., Menz, H. B., Fung, V. S. C., & Lord, S. R. (2018). Head and trunk stability during gait before and after levodopa intake in Parkinson’s disease subtypes. Experimental Gerontology, 111, 78–85. https://doi.org/10.1016/j.exger.2018.06.031

Process, N. C. (2020). Academy of Nutrition and Dietetics. 2020.

Rouhani, M. H., Haghighatdoost, F., Surkan, P. J., & Azadbakht, L. (2016). Associations between dietary energy density and obesity: A systematic review and meta-analysis of observational studies. Nutrition, 32(10), 1037–1047. https://doi.org/10.1016/j.nut.2016.03.017

Seidman, G. (2013). Self-presentation and belonging on Facebook: How personality influences social media use and motivations. Personality and Individual Differences, 54(3), 402–407. https://doi.org/10.1016/j.paid.2012.10.009

Simberloff, D., Martin, J.-L., Genovesi, P., Maris, V., Wardle, D. A., Aronson, J., Courchamp, F., Galil, B., García-Berthou, E., Pascal, M., Pyšek, P., Sousa, R., Tabacchi, E., & Vilà, M. (2013). Impacts of biological invasions: What’s what and the way forward. Trends in Ecology & Evolution, 28(1), 58–66. https://doi.org/10.1016/j.tree.2012.07.013

SINGER, E., VAN HOEWYK, J., & MAHER, M. P. (2000). Experiments with Incentives in Telephone Surveys*. Public Opinion Quarterly, 64(2), 171–188. https://doi.org/10.1086/317761

Tourangeau, R., Rips, L. J., & Rasinski, K. (2000). The Psychology of Survey Response. Cambridge University Press.

Van Spall, H. G. C., Lee, S. F., Xie, F., Oz, U. E., Perez, R., Mitoff, P. R., Maingi, M., Tjandrawidjaja, M. C., Heffernan, M., Zia, M. I., Porepa, L., Panju, M., Thabane, L., Graham, I. D., Haynes, R. B., Haughton, D., Simek, K. D., Ko, D. T., & Connolly, S. J. (2019). Effect of Patient-Centered Transitional Care Services on Clinical Outcomes in Patients Hospitalized for Heart Failure: The PACT-HF Randomized Clinical Trial. JAMA, 321(8), 753–761. https://doi.org/10.1001/jama.2019.0710

Waheed, R., Sarwar, S., & Wei, C. (2019). The survey of economic growth, energy consumption and carbon emission. Energy Reports, 5, 1103–1115. https://doi.org/10.1016/j.egyr.2019.07.006

WHO. (2022). Diet and physical activity. Retrieved from https://www.who.int/health-topics/diet-and-nutrition#tab=tab_1.

World Medical Association. (2013). World Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053

Wray, N. R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., Agerbo, E., Air, T. M., Andlauer, T. M. F., Bacanu, S.-A., Bækvad-Hansen, M., Beekman, A. F. T., Bigdeli, T. B., Binder, E. B., Blackwood, D. R. H., Bryois, J., Buttenschøn, H. N., Bybjerg-Grauholm, J., … Sullivan, P. F. (2018). Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics, 50(5), Article 5. https://doi.org/10.1038/s41588-018-0090-3

Downloads

Published

2023-06-13

How to Cite

Cahyono, D. (2023) “Analysis of understanding of equal nutrition knowledge among family members on a healthcare level”, Science Midwifery, 11(2), pp. 284–293. doi: 10.35335/midwifery.v11i2.1251.