SELF-MANAGEMENT BEHAVIOR AND ITS IMPACT TO GLYCATED HEMOGLOBIN AMONG CLIENTS MEDICALLY DIAGNOSED WITH DIABETES MELLITUS: A CORRELATIONAL STUDY
Vol. 6 No. 4 (2020), Original Research Article
Vol. 6 No. 4 (2020)

SELF-MANAGEMENT BEHAVIOR AND ITS IMPACT TO GLYCATED HEMOGLOBIN AMONG CLIENTS MEDICALLY DIAGNOSED WITH DIABETES MELLITUS: A CORRELATIONAL STUDY

Original Research Article
Categories: Public Health and Community Nursing | Diabetes Mellitus
https://doi.org/10.33546/bnj.1102
Somsak Thojampa
Naresuan University, Phitsanulok, Thailand
Joel Rey Ugsang Acob
Visayas State University, Philippines
https://orcid.org/0000-0002-3829-322X
PDF

Keywords

glycated hemoglobin
 self-management
 diabetes mellitus
 chronic disease
 Thailand

How to Cite

Thojampa, S., & Acob, J. R. U. (2020). SELF-MANAGEMENT BEHAVIOR AND ITS IMPACT TO GLYCATED HEMOGLOBIN AMONG CLIENTS MEDICALLY DIAGNOSED WITH DIABETES MELLITUS: A CORRELATIONAL STUDY. Belitung Nursing Journal, 6(4), 111–115. https://doi.org/10.33546/bnj.1102
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX
Crossref
Scopus
Europe PMC
Google Scholar

Link to Google Scholar

Accepted for publication: 2020-06-04
Peer reviewed: Yes

Related articles in


Search Relations - Article by Author(s)

Share this article on:

Abstract

Background: The Center for Disease Control and Prevention in 2016 identified and further classified Diabetes Mellitus as one of the chronic diseases, a leading cause of morbidity, and considered a major health problem in the Asia Pacific. Hence the quality of life as the optimum goal of any person is only achieved through appropriate self-care management. The person is a major key player of the nursing paradigm plays a crucial task in self-care since his/her responsibility is to assure balance between behavioral and environmental dynamics.

Objective: To examine the self-management behaviors of clients medically diagnosed with Diabetes Mellitus and evaluate the correlation between self-management behaviors and glycated hemoglobin (HbA1c).

Methods: The study utilized the validated Diabetes Self-Management Questionnaire (DSMQ) tool to 600 adults from the lower district of Khong Khlong, Kamphaengphet, Thailand. Through descriptive design, the investigation focused on major behavioral categories such as glucose management, physical activity, health care use and dietary control on at-risk stroke clients with DM aging 35 years old and above. Respondents with absolute complications of Diabetes Mellitus like stroke, blindness, undergoing dialysis even amputation are excluded to participate.

Results: The findings revealed that most clients with DM are married female, ages 51-60 years old and is diagnosed of living with the disease for 6-10 years. Further, the respondents are generally aware on self-management activities for DM, however not all of them submitted for glucose monitoring program. On one hand, the respondents have high regard on controlling dietary intake to avoid the increase of blood glucose during scheduled tests while results also show that most of the respondents are having poor engagement on physical activities.

Conclusion: It is concluded that self- management behaviors are strongly associated with HbA1c. Nonpharmacologic and identified independent nursing actions proven to aid clients with diabetes mellitus should be advocated in combating the disease.

https://doi.org/10.33546/bnj.1102
PDF

Copyright

Copyright (c) 2020 Somsak Thojampa, & Joel Rey U. Acob

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Article Metrics

Total views 1252 [Abstract: 718 | PDF: 534 ]

Downloads

Download data is not yet available.

PlumX Metrics


References

Acob, J. R. U., & Martiningsih, W. (2018). Role development of nurse managers in the changing health care practice. Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery), 5(1), 066-068. https://doi.org/10.26699/jnk.v5i1.art.p066-068

Aekplakorn, W., Chariyalertsak, S., Kessomboon, P., Sangthong, R., Inthawong, R., Putwatana, P., . . . Thai National Health Examination Survey, I. V. S. G. (2011). Prevalence and management of diabetes and metabolic risk factors in Thai adults: the Thai National Health Examination Survey IV, 2009. Diabetes Care, 34(9), 1980-1985. https://doi.org/ 10.2337/dc11-0099

Bederson, J. B., Connolly Jr, E. S., Batjer, H. H., Dacey, R. G., Dion, J. E., Diringer, M. N., . . . Rosenwasser, R. H. (2009). Guidelines for the management of aneurysmal subarachnoid hemorrhage: a statement for healthcare professionals from a special writing group of the Stroke Council, American Heart Association. Stroke, 40(3), 994-1025. https://doi.org/10.1161/strokeaha.108.191395

Capes, S. E., Hunt, D., Malmberg, K., Pathak, P., & Gerstein, H. C. (2001). Stress hyperglycemia and prognosis of stroke in nondiabetic and diabetic patients: A systematic overview. Stroke, 32(10), 2426-2432. https://doi.org/10.1161/hs1001.096194

Choi, S., Song, M., Chang, S. J., & Kim, S.-a. (2014). Strategies for enhancing information, motivation, and skills for self-management behavior changes: a qualitative study of diabetes care for older adults in Korea. Patient Preference and Adherence, 8, 219. https://doi.org/10.2147/ppa.s58631

Deerochanawong, C., & Ferrario, A. (2013). Diabetes management in Thailand: a literature review of the burden, costs, and outcomes. Globalization and Health, 9(1), 11. https://doi.org/10.1186/1744-8603-9-11

Eerdekens, G.-J., Rex, S., & Mesotten, D. (2020). Accuracy of Blood Glucose Measurement and Blood Glucose Targets. Journal of Diabetes Science and Technology, 14(3), 553-559. https://doi.org/10.1177/1932296820905581

Hausmann, L. R., Ren, D., & Sevick, M. A. (2010). Racial differences in diabetes-related psychosocial factors and glycemic control in patients with type 2 diabetes. Patient Preference and Adherence, 4, 291. https://doi.org/10.2147/ppa.s12353

Idris, I., Thomson, G. A., & Sharma, J. C. (2006). Diabetes mellitus and stroke. International Journal of Clinical Practice, 60(1), 48-56. https://doi.org/ 10.1111/j.1368-5031.2006.00682.x

Kissela, B. M., Khoury, J., Kleindorfer, D., Woo, D., Schneider, A., Alwell, K., . . . Szaflarski, J. P. (2005). Epidemiology of ischemic stroke in patients with diabetes: the greater Cincinnati/Northern Kentucky Stroke Study. Diabetes Care, 28(2), 355-359. https://doi.org/10.2337/diacare.28.2.355

Leeman, J. (2006). Interventions to improve diabetes self-management. The Diabetes Educator, 32(4), 571-583. https://doi.org/10.1177/0145721706290833

Lorig, K. (1993). Self-management of chronic illness: A model for the future. Generations: Journal of the American Society on Aging, 17(3), 11-14.

Newman, S., Steed, E., & Mulligan, K. (2008). Chronic physical illness: self-management and behavioural interventions: Self management and behavioural interventions. UK: McGraw-Hill Education.

Nugroho, H. S. W., Suparji, S., Martiningsih, W., Suiraoka, I. P., Acob, J. R. U., & Sillehu, S. (2020). Response to “Effect of integrated pictorial handbook education and counseling on improving anemia status, knowledge, food intake, and iron tablet compliance among anemic pregnant women in Indonesia: A quasi-experimental study” [Letter]. Journal of Multidisciplinary Healthcare, 13, 141. https://doi.org/10.2147/JMDH.S247401

Porapakkham, Y., Rao, C., Pattaraarchachai, J., Polprasert, W., Vos, T., Adair, T., & Lopez, A. D. (2010). Estimated causes of death in Thailand, 2005: implications for health policy. Population Health Metrics, 8(1), 14. https://doi.org/10.1186/1478-7954-8-14

Schmitt, A., Gahr, A., Hermanns, N., Kulzer, B., Huber, J., & Haak, T. (2013). The Diabetes Self-Management Questionnaire (DSMQ): development and evaluation of an instrument to assess diabetes self-care activities associated with glycaemic control. Health and Quality of Life Outcomes, 11(1), 138. https://doi.org/10.1186/1477-7525-11-138

Shrivastava, S. R., Shrivastava, P. S., & Ramasamy, J. (2013). Role of self-care in management of diabetes mellitus. Journal of Diabetes & Metabolic Disorders, 12(1), 14.

Tsiouli, E., Alexopoulos, E. C., Stefanaki, C., Darviri, C., & Chrousos, G. P. (2013). Effects of diabetes-related family stress on glycemic control in young patients with type 1 diabetes: Systematic review. Canadian Family Physician, 59(2), 143-149.

Williams, L. S., J. Rotich, R. Q., Fineberg, N., Espay, A., Bruno, A., Fineberg, S. E., & Tierney, W. R. (2002). Effects of admission hyperglycemia on mortality and costs in acute ischemic stroke. Neurology, 59, 67-71. https://doi.org/10.1212/wnl.59.1.67

World Health Organization. (2016). Diabetes mellitus. Retrieved from http://www.who.int/mediacentre/factsheets/fs138/en/

Zhong, X., Tanasugarn, C., Fisher, E. B., Krudsood, S., & Nityasuddhi, D. (2011). Awareness and practices of self-management and influence factors among individuals with type 2 diabetes in urban community settings in Anhui Province, China. Southeast Asian Journal of Tropical Medicine and Public Health, 42(1), 184.

Readers are able to give us their valuable feedbacks here. The comments will be reviewed by the editors and then published here. Important Note: The "Comments" related to the Galley Proof PDF must NOT be submitted via this form. Authors should submit their comments on their galley proofs only via system

Based on the article keywords