Low COVID-19-related practice increases the risk of poor health literacy in international students

Main Article Content

Nergiz Sevinc
Burcu Korkut

Abstract

Background
Health literacy (HL) is the ability to access, understand, appraise, and apply health information, making it crucial for navigating coronavirus and COVID-19 information environments. The objective of this study was to determine the health literacy of international students who could not return to their countries after announcement of the coronavirus disease (COVID-19) pandemic and their perspective and behavior about COVID-19.

Methods
A cross-sectional study was conducted involving 399 international students. A 73-item questionnaire consisting of health literacy (23 items), knowledge, attitude and practice about Covid-19 (37 items), and sociodemographic characteristics (13 items) was answered by the students. The relationship between the HL score and various variables was determined using univariate and multiple binary logistic regression.

Results
Of the 399 international students, 322 (80.7%) participated. The HL of the international students was found to be poor (78.0%) and good (22.0%). Participants’ COVID-19-related behaviors: 8.4% of the participants’ knowledge level was good, and 38.5% had high COVID-19 related practice. Multivariate models showed that HL was independently and significantly associated with COVID-19 related practice (OR= 6.27; 95% CI: 2.45 - 15.79; p=0.000).

Conclusion
This study revealed that international students’ HL was poor and that low COVID-19 related practice increased the risk of low HL in international students. According to the findings, further efforts should be made to enhance levels of HL and COVID-19-related behavior of international students.

Article Details

How to Cite
Sevinc, N., & Korkut, B. (2021). Low COVID-19-related practice increases the risk of poor health literacy in international students. Universa Medicina, 40(2), 79–86. https://doi.org/10.18051/UnivMed.2021.v40.79-89
Section
Original Articles

References

International Diabetes Federation. IDF Diabetes Atlas 9th edition. Brussels: International Diabetes Federation; 2019.

Kementerian Kesehatan. Riset kesehatan dasar Riskesdas 2013. Jakarta: Kementerian Kesehatan Republik Indonesia; 2013.

Badan Penelitian dan Pengembangan Kesehatan. Laporan hasil riset kesehatan dasar (Riskesdas) Indonesia tahun 2018. Jakarta: Badan Penelitian dan Pengembangan Kesehatan; 2018.

Valent F, Tillati S, Zanier L. Prevalence and comorbidities of known diabetes in northeastern Italy. J Diabetes Investig 2013;4:355–60. doi: 10.1111/jdi.12043.

Luijks H, Schermer T, Bor H, et al. Prevalence and incidence density rates of chronic comorbidity in type 2 diabetes patients: an exploratory cohort study. BMC Med 2012;10:128. doi: 10.1186/1741-7015-10-128

Nowakowska M, Zghebi SS, Ashcroft DM, et al. The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort. BMC Med 2019;17:145. doi: 10.1186/s12916-019-1373-y.

Kim HS, Shin AM, Kim MK, Kim YN. Comorbidity study on type 2 diabetes mellitus using data mining. Korean J Intern Med 2012;27:197–202. doi: 10.3904/kjim.2012.27.2.197.

Britton LE, Berry DC, Hussey JM. Comorbid hypertension and diabetes among US women of reproductive age: prevalence and disparities. J Diabetes Complicat 2018;32:1148–52. doi: 10.1016/j.jdiacomp.2018.09.014.

Ekoru K, Doumatey A, Bentley AR, et al. Type 2 diabetes complications and comorbidity in Sub-Saharan Africans. EClinicalMedicine 2019;16:30–41. doi: 10.1016/j.eclinm.2019.09.001.

PB PERKENI. Pedoman pengelolaan dan pencegahan diabetes melitus tipe 2 dewasa di Indonesia. Edisi Pertama. Jakarta: PB Perkeni; 2019

Fajarini IA, Sartika RAD. Obesitas sebagai komorbiditas diabetes tipe 2: perilaku makan dan determinan lain pada pasien diabetes tipe 2 di Jakarta, Indonesia. National Public Health 2019;13: 157-63. doi: 10.21109/kesmas.v13i4.2483.

Lin PJ, Pope E, Zhou FL. Comorbidity type and health care costs in type 2 diabetes: a retrospective claims database analysis. Diabetes Ther 2018;9: 1907-18. doi: 10.1007/s13300-018-0477-2.

Larkin ME, Walders-Abramson N, Hirst K, et al. Effects of comorbid conditions on health-related quality of life in youth with type 2 diabetes: the TODAY clinical trial. Diabetes Manag 2015;5:431–9. DOI: 10.2217/dmt.15.35.

Alonso-Morán E, Orueta JF, Esteban JIF, ert al. The prevalence of diabetes related complications and multimorbidity in the population with type 2 diabetes mellitus in the Basque Country. BMC Public Health 2014;14:1059. doi:10.1186/1471-2458-14-1059.

Pantalone KM, Hobbs TM, Wells BJ, et al. Clinical characteristics, complications, comorbidities and treatment patterns among patients with type 2 diabetes mellitus in a large integrated health system. BMJ Open Diabetes Res Care 2015;3:e000093. doi: 10.1136/bmjdrc-2015-000093.

Jelinek HF, Osman WM, Khandoker AH et al. Clinical profiles, comorbidities and complications of type 2 diabetes mellitus in patients from United Arab Emirates. BMJ Open Diab Res Care 2017;5:e000427. doi: 10.1136/bmjdrc-2017-000427.

Wang B, Zhang M, Wang S, et al. Dynamic status of metabolically healthy overweight obesity and metabolically unhealthy and normal and the risk of type 2 diabetes mellitus: a cohort study of a rural Chinese adult population. Obes Res Clin Pract 2018;12:61-71. doi: 10.1016/j.orcp.2017. 10.005

Riyadina W, Sudikno, Rahajeng E, et al. Laporan studi kohor faktor risiko penyakit tidak menular 2018. Jakarta Pusat: Puslitbang Upaya Kesehatan Masyarakat; 2018.

Tim Penyusun Revisi Pedoman Pengelolaan Dislipidemia di Indonesia. Pedoman pengelolaan dislipidemia di Indonesia. Edisi Pertama. Jakarta: PB Perkeni; 2019.

Armstrong C. JNC-8 guidelines for the management of hypertension in adults. Am Fam Physician 2014;90:503-4.

Poggio R, Serón P, Calandrelli M, et al. Prevalence, patterns, and correlates of physical activity among the adult population in Latin America: cross-sectional results from the CESCAS I Study. Glob Heart 2016;11:81-8.e1. doi: 10.1016/j.gheart.2015.12.013.

Netsereab TB, Kifle MM, Tesfagiorgis RB, Habteab SG, Weldeabzgi YK, Tesfamariam OZ. Validation of the WHO self-reporting questionnaire-20 (SRQ-20) item in primary health care settings in Eritrea. Int J Ment Health Syst 2018;12:61. doi: 10.1186/s13033-018-0242-y.

World Health Organization. STEPwise approach to noncommunicable disease risk factor surveillance (STEPS). Geneva: World Health Organization; 2017.

Lang VB, Markoviæ BB. Prevalence of comorbidity in primary care patients with type 2 diabetes and its association with elevated HbA1c: a cross-sectional study in Croatia. Scand J Prim Health Care 2016;34:66–72. doi: 10.3109/02813432.2015.1132886.

American Diabetes Association. 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2020. Diabetes Care 2020;43(Suppl 1):S14-31. doi: 10.2337/dc20-S002

Kramer H, Cao G, Dugas L, Luke A, Cooper R, Durazo-Arvizu R. Increasing BMI and waist circumference and prevalence of obesity among adults with Type 2 diabetes: the National Health and Nutrition Examination Surveys. J Diabetes Complications 2010;24:368–74. doi: 10.1016/j.jdiacomp.2009.10.001.

Einarson TR, Acs A, Ludwig C, Panton UH. Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007–2017. Cardiovasc Diabetol 2018;17:83. doi: 10.1186/s12933-018-0728-6.