Correlation Between Risk Perception and Outcome Expectancies on Dietary Compliance in Diabetes Mellitus Patients
Article Sidebar
Main Article Content
Abstract
Introduction: Diabetic patients' non-compliance with diet can increase the risk of complications and decrease quality of life. Dietary compliance can be influenced by motivation, self-efficacy, knowledge, intentions, and family support. This study aims to analyze the relationship between perceived risk and expected outcomes with dietary compliance in patients with type 2 diabetes mellitus.
Methods: 150 respondents were obtained from five Primary Health Care in Surabaya through the cluster sampling method. The instruments used were a risk perception, a healthy diet-outcome expectation scale, and dietary compliance questionnaire. Data were analyzed using Spearman’s Rho statistics (α≤0.05).
Results: Most of the patients had moderate risk perception (67.3%) and high outcome expectation (48%). There was a significant relationship between perceived risk (p = 0.000) and expected outcome (p = 0.000) with dietary compliance in type 2 DM patients.
Conclusion: Diabetic patients' perceptions of their disease and the expected results have a positive effect on patient adherence to diet. Patients need accurate information about their disease so that they can create good perceptions and expectations.
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Babali Nursing Research (BNR) agree to the following terms:
-
Authors retain copyright and grant BNR the right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to remix, adapt and build upon the work with an acknowledgment of the work's authorship and of the initial publication in BNR.
-
Authors are permitted to copy and redistribute the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in BNR.
References
[2] B. Ewers et al., “Dietary habits and adherence to dietary recommendations in patients with type 1 and type 2 diabetes compared with the general population in Denmark,” Nutrition, vol. 61, pp. 49–55, 2019, doi: 10.1016/j.nut.2018.10.021.
[3] A. Setyorini, “Stres dan Koping pada Pasien Dengan DM Tipe 2 dalam Pelaksanaan Manajemen Diet di Wilayah Puskesmas Banguntapan II Kabupaten Bantul,” Heal. Sci. Pharm. J., vol. 1, no. 1, p. 1, 2017, doi: 10.32504/hspj.v1i1.3.
[4] M. Jaworski, M. Panczyk, M. Cedro, and A. Kucharska, “Adherence to dietary recommendations in diabetes mellitus: Disease acceptance as a potential mediator,” Patient Prefer. Adherence, vol. 12, pp. 163–174, 2018, doi: 10.2147/PPA.S147233.
[5] K. Ogurtsova et al., “IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040,” Diabetes Res. Clin. Pract., vol. 128, pp. 40–50, 2017, doi: 10.1016/j.diabres.2017.03.024.
[6] Kemenkes, “Infodatin tetap produktif, cegah, dan atasi Diabetes Melitus 2020,” Pusat Data dan Informasi Kementrian Kesehatan RI. pp. 1–10, 2020. [Online]. Available: https://pusdatin.kemkes.go.id/resources/download/pusdatin/infodatin/Infodatin-2020-Diabetes-Melitus.pdf
[7] L. Juul, G. Rowlands, and H. T. Maindal, “Relationships between health literacy, motivation and diet and physical activity in people with type 2 diabetes participating in peer-led support groups,” Prim. Care Diabetes, vol. 12, no. 4, pp. 331–337, 2018, doi: 10.1016/j.pcd.2018.02.005.
[8] M. Ljubičić et al., “Motivation for health behaviour: A predictor of adherence to balanced and healthy food across different coastal Mediterranean countries,” J. Funct. Foods, vol. 91, no. December 2021, 2022, doi: 10.1016/j.jff.2022.105018.
[9] C. Q. Zhang, R. Zhang, R. Schwarzer, and M. S. Hagger, “A Meta-Analysis of the Health Action Process Approach,” Heal. Psychol., vol. 38, no. 7, pp. 623–637, 2019, doi: 10.1037/hea0000728.
[10] Haryono, “Hubungan dukungan keluarga terhadap kepatuhan diet pada pasien diabetes melitus diwilayah kerja puskesmas godean i sleman yogyakarta,” J. Farm. Indones., vol. 1, no. 5, pp. 1–11, 2017.
[11] Rebecca Ferrer, “HHS Public Access Risk Perceptions and health behavior,” Physiol. Behav., vol. 176, no. 5, pp. 139–148, 2017, doi: 10.1016/j.copsyc.2015.03.012.Risk.
[12] G. Joseph, N. J. Burke, N. Tuason, J. C. Barker, and R. J. Pasick, “Perceived Susceptibility to Illness and Perceived Benefits of Preventive Care: An Exploration of Behavioral Theory Constructs in a Transcultural Context,” Heal. Educ. Behav., vol. 36, no. 5_suppl, pp. 71S-90S, 2009, doi: 10.1177/1090198109338915.
[13] E. Shreck, J. S. Gonzalez, H. W. Cohen, E. A. Walker, and P. Health, “With Type 2 Diabetes : the Improving Diabetes Outcomes Study,” 3, vol. 21, no. April 2011, pp. 88–98, 2015, doi: 10.1007/s12529-013-9291-4.Risk.
[14] P. T. N. Tabong, V. Bawontuo, D. N. Dumah, J. M. Kyilleh, and T. Yempabe, “Premorbid risk perception, lifestyle, adherence and coping strategies of people with diabetes mellitus: A phenomenological study in the Brong Ahafo Region of Ghana,” PLoS One, vol. 13, no. 6, pp. 1–19, 2018, doi: 10.1371/journal.pone.0198915.
[15] M. Huttunen-Lenz et al., “PREVIEW study—Influence of a behavior modification intervention (PREMIT) in over 2300 people with pre-diabetes: Intention, self-efficacy and outcome expectancies during the early phase of a lifestyle intervention,” Psychol. Res. Behav. Manag., vol. 11, pp. 383–394, 2018, doi: 10.2147/PRBM.S160355