Research Article
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Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes

Year 2024, Volume: 14 Issue: 4, 1015 - 1020, 29.12.2024
https://doi.org/10.33808/clinexphealthsci.1438208

Abstract

Objective: This research has been conducted to determine the diabetes burden and patient activation levels in elderly individuals with diabetes.
Methods: The sample of this descriptive study is composed of 230 individuals aged 65 years and over and individuals with a diagnosis of diabetes. Data has been collected at the internal medicine clinic of a state hospital between May 2021 and January 2022. Data collection has been collected using the Personal Information Form, Elderly Diabetes Burden Scale and Patient Activation Measure.
Results: It has been determined that 37.4% of geriatric diabetics were at the first activity level, and 14.3% at the second activity level. The average Patient Activation Measure score has a significant correlation with Elderly Diabetes Burden Scale. It has been determined that the situation of age, high school degree or a higher level of education, lack of any acute or chronic complications, another chronic disease, having a diabetes education, use of oral antidiabetic medications and total elderly diabetes burden have a significant effect on activity levels.
Conclusions: This study, it has shown that the burden of diabetes in geriatric patients has a significant difference by the patient activity levels.

Ethical Statement

This study was approved by Ethics Committee of Amasya University, Noninvasive Clinic Ethics Committee (Approval date: April 8, 2021 Number: 50).

Supporting Institution

The authors received no financial support for the research

Thanks

We would like to thank all participants involved in the study

References

  • Turkish Diabetes Foundation. Diabetes diagnosis and treatment guidelines. Accessed: [15 July 15 2016]. http://www.turkdiab.org/diyabet%20rehberi%20baski%202015.pdf. (Turkish)
  • International Diabetes Federation (IDF) Diabetes Atlas. 9th ed. 2021. Accessed: [26 April 2022]. https://www.diabetesatlas.org/
  • Çelik S, Kelleci M, Avcı D, Temel E. Psychosocial adjustment to illness and methods of coping with stress among young adults with type 1 diabetes. Florence Nightingale Journal of Nursing. 2015;23(2):105-115.
  • Ministry of Health Turkish Public Health Institution. (2020). 2015-2020 Turkey Diabetes Program. 2. Printing, 22. (Turkish)
  • Charvat H, Goto A, Goto, M, Inoue M, Heianza Y, Arase Y, Sone H, Nakagami T, Song X, Qiao Q, Tuomilehto J, Tusugane S, Noda M, Inoue M. Impact of population aging on trends in diabetes prevalence: A meta-regression analysis of 160,000 Japanese adults. J Diabetes Investig. 2015;6(5):533-542. DOI:10.1111/jdi.12333
  • Ovayolu Ö, Ovayolu N, Doğru A, Özkaya M. The challenge of diabetes in the elderly and affecting factors: A Turkish study. Holist Nurs Pract. 2015;29(2):272-279. DOI: 10.1097/HNP.0000000000000102
  • Shayeghian Z, Aguilar-Vafaiea ME, Besharatb MA, Amiric P, Parvind M, Gillanie RK. Self-care activities and glycated haemoglobin in ıranian patients with type 2 diabetes: Can coping styles and social support have a buffering role. Psychol Health. 2015;30:153-164. DOI:10.1080/08870446.2014.951651
  • ADA. 2020. Accessed: [26 April 2022]. https://www.diabetesatlas.org/.
  • Lin M, Weng W, Aprılıyasarı RW, Van Truong P, Tsaı P. Effects of patient activation ıntervention on chronic diseases. A Meta-Analysis The Journal of Nursing Research. 2020;28(5):116. DOI:10.1097/jnr.0000000000000387
  • Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff. 2015;34(3):431–7. DOI: 10.1377/hlthaff.2014.0452
  • Olgun N, Aslan F, Coşansu G, Çelik S. (2022). Diabetes Mellitus. A. Karadokovan ve F. Aslan (eds.), Care in internal and surgical diseases (pp. 829-864). Adana: Nobel Kitabevi. DOI:10.37609/akya.923 (Turkish)
  • Regeera H, Empelenc P, Bilod HJG, Koninga EJP, Sasja D. Huismana change is possible: How increased patient activation is associated with favorable changes in well-being, self-management and health outcomes among people with type 2 diabetes mellitus: A prospective longitudinal study. Patient Education and Counseling. 2021;105(4):821-827. DOI: 10.1016/j.pec.2021.07.014
  • Hibbard JH, Mahoney ER, Stock R, Tusler M. Development of the Patient Activation Measure (PAM): Conceptualizing and measuring activation in patients and consumers. HSR: Health Services Research. 2004;39(4):1005-1026. DOI:10.1111/j.1475-6773.2004.00269.x
  • Koşar C, Besen DB. Patient activation in chronic diseases: Concept analyse. Dokuz Eylul University Faculty of Nursing Electronic Journal. 2015;8(1):45-51. https://dergipark.org.tr/tr/pub/deuhfed/issue/46805/586910
  • Miller VM, Davies MJ, Etherton-Beer C, McGough S, Schofield D, Jensen JF, Watson N. Increasing Patient Activation Through Diabetes Self-Management Education: Outcomes of DESMOND in Regional Western Australia. Patient Educ Couns. 2020;103(4):848-853. DOI:10.1016/j.pec.2019.10.013
  • Bulduk S, Yurt S, Dinçer Y, Ardıç E. Health behavior models. Düzce University Health Science Institute Journal. 2015;5(1):28-34. https://dergipark.org.tr/tr/pub/duzcesbed/issue/4848/66622
  • Bayat M. Teaching process and nursing. Journal of Health Science. 2005;14:66-72. https://dergipark.org.tr/tr/pub/eujhs/issue/44514/551993
  • Akyol GT, Bayraktaroğlu T, Seval M. Investigation of diabetes burden in elderly type 2 diabetes ındividuals: example of Zonguldak province. Turkish Journal of Diabetes and Obesity. 2020;4(2):108-118. DOI:10.25048/tudod.723725
  • Yıldırım UY, Esen A. A study of the valıdıty and relıabılıty of the “elderly dıabetes burden scale” for the Turkısh socıety. Turkish Journal of Geriatrics. 2012;15 (1):61-67.
  • Hibbard JH, Greene J, Sacks RM, Overton V, Parrotta C. Improving population health management strategies: Identifying patients who are more likely to be users of avoidable costly care and those more likely to develop a new chronic disease. Health Services Research. 2017;52(4):1297–1309. DOI:10.1111/1475-6773.12545
  • Hendriks M, Rademakers J. Relationships between patient activation, disease-specific knowledge and health outcomes among people with diabetes; a survey study. Hendriks and Rademakers BMC Health Services Research. 2014;14:393. DOI:10.1186/1472-6963-14-393
  • Bostouwen I, Schuurmans M, Monninkhof EM. Patient and disease characteristics associated with activation for self- management in patients with diabetes, chronic obstructive pulmonary disease, chronic heart failure and chronic renal disease: A cross-sectional survey study. Plos One. 2015;10(5):1–16. DOI: 10.1371/journal.pone.0126400
  • Magnezi R, Glasser S. Psychometric properties of the hebrew translation of the Patient Activation Measure (PAM-13). Plos One. 2014;9(11):1-6. DOI: 10.1371/journal.pone.0113391
  • Yadav UN, Lloyd J, Hosseinzadeh H, Baral KP, Harris MF. Do Chronic Obstructive Pulmonary Diseases (COPD) Self-management ınterventions consider health literacy and patient activation? A systematic review. Journal of Clinical Medicine. 2020;9(3):646. DOI:10.3390/jcm9030646
  • Sacks RM, Greene J, Hibbard J, Overton V, Parrotta CD. Does patient activation predict the course of type 2 diabetes? A longitudinal study. Patient Education and Counseling. 2017;100(7):1268-1275. DOI: 10.1016/j.pec.2017.01.014
  • A van Vugt H, Meike Boels A, de Weerdt I, de Koning EJP, Rutten G. Patient activation in individuals with type 2 diabetes mellitus: associated factors and the role of insülin. Patient Preference and Adherence. 2019;13:73–81. DOI: 10.2147/PPA.S188391
  • Sacks RM, Greene J, Hibbard JH, Overton V. How well do patient activation scores predict depression outcomes one year later?. Journal of Affective Disorders. 2014;169:1-6. DOI:10.1016/j.jad.2014.07.030
  • Cibeles M, Luis GP, Cristina M, Emilia A, MDolores N, Alberto GF. Adaptation to european spanish and psychometric properties of the patient activation measure 13 in patients with chronic diseases. Family Practice. 2017;34(5):627–634.DOI: 10.1093/fampra/cmx022
  • Lightfoot CJ, Nair D, Bennett PN, Smith AC, Griffin AD, Warren M, Wilkinson TJ. Patient activation: The cornerstone of effective self-management in chronic kidney disease. Kidney Dial. 2022;2:91–105. DOI: 10.3390/kidneydial2010012
Year 2024, Volume: 14 Issue: 4, 1015 - 1020, 29.12.2024
https://doi.org/10.33808/clinexphealthsci.1438208

Abstract

References

  • Turkish Diabetes Foundation. Diabetes diagnosis and treatment guidelines. Accessed: [15 July 15 2016]. http://www.turkdiab.org/diyabet%20rehberi%20baski%202015.pdf. (Turkish)
  • International Diabetes Federation (IDF) Diabetes Atlas. 9th ed. 2021. Accessed: [26 April 2022]. https://www.diabetesatlas.org/
  • Çelik S, Kelleci M, Avcı D, Temel E. Psychosocial adjustment to illness and methods of coping with stress among young adults with type 1 diabetes. Florence Nightingale Journal of Nursing. 2015;23(2):105-115.
  • Ministry of Health Turkish Public Health Institution. (2020). 2015-2020 Turkey Diabetes Program. 2. Printing, 22. (Turkish)
  • Charvat H, Goto A, Goto, M, Inoue M, Heianza Y, Arase Y, Sone H, Nakagami T, Song X, Qiao Q, Tuomilehto J, Tusugane S, Noda M, Inoue M. Impact of population aging on trends in diabetes prevalence: A meta-regression analysis of 160,000 Japanese adults. J Diabetes Investig. 2015;6(5):533-542. DOI:10.1111/jdi.12333
  • Ovayolu Ö, Ovayolu N, Doğru A, Özkaya M. The challenge of diabetes in the elderly and affecting factors: A Turkish study. Holist Nurs Pract. 2015;29(2):272-279. DOI: 10.1097/HNP.0000000000000102
  • Shayeghian Z, Aguilar-Vafaiea ME, Besharatb MA, Amiric P, Parvind M, Gillanie RK. Self-care activities and glycated haemoglobin in ıranian patients with type 2 diabetes: Can coping styles and social support have a buffering role. Psychol Health. 2015;30:153-164. DOI:10.1080/08870446.2014.951651
  • ADA. 2020. Accessed: [26 April 2022]. https://www.diabetesatlas.org/.
  • Lin M, Weng W, Aprılıyasarı RW, Van Truong P, Tsaı P. Effects of patient activation ıntervention on chronic diseases. A Meta-Analysis The Journal of Nursing Research. 2020;28(5):116. DOI:10.1097/jnr.0000000000000387
  • Greene J, Hibbard JH, Sacks R, Overton V, Parrotta CD. When patient activation levels change, health outcomes and costs change, too. Health Aff. 2015;34(3):431–7. DOI: 10.1377/hlthaff.2014.0452
  • Olgun N, Aslan F, Coşansu G, Çelik S. (2022). Diabetes Mellitus. A. Karadokovan ve F. Aslan (eds.), Care in internal and surgical diseases (pp. 829-864). Adana: Nobel Kitabevi. DOI:10.37609/akya.923 (Turkish)
  • Regeera H, Empelenc P, Bilod HJG, Koninga EJP, Sasja D. Huismana change is possible: How increased patient activation is associated with favorable changes in well-being, self-management and health outcomes among people with type 2 diabetes mellitus: A prospective longitudinal study. Patient Education and Counseling. 2021;105(4):821-827. DOI: 10.1016/j.pec.2021.07.014
  • Hibbard JH, Mahoney ER, Stock R, Tusler M. Development of the Patient Activation Measure (PAM): Conceptualizing and measuring activation in patients and consumers. HSR: Health Services Research. 2004;39(4):1005-1026. DOI:10.1111/j.1475-6773.2004.00269.x
  • Koşar C, Besen DB. Patient activation in chronic diseases: Concept analyse. Dokuz Eylul University Faculty of Nursing Electronic Journal. 2015;8(1):45-51. https://dergipark.org.tr/tr/pub/deuhfed/issue/46805/586910
  • Miller VM, Davies MJ, Etherton-Beer C, McGough S, Schofield D, Jensen JF, Watson N. Increasing Patient Activation Through Diabetes Self-Management Education: Outcomes of DESMOND in Regional Western Australia. Patient Educ Couns. 2020;103(4):848-853. DOI:10.1016/j.pec.2019.10.013
  • Bulduk S, Yurt S, Dinçer Y, Ardıç E. Health behavior models. Düzce University Health Science Institute Journal. 2015;5(1):28-34. https://dergipark.org.tr/tr/pub/duzcesbed/issue/4848/66622
  • Bayat M. Teaching process and nursing. Journal of Health Science. 2005;14:66-72. https://dergipark.org.tr/tr/pub/eujhs/issue/44514/551993
  • Akyol GT, Bayraktaroğlu T, Seval M. Investigation of diabetes burden in elderly type 2 diabetes ındividuals: example of Zonguldak province. Turkish Journal of Diabetes and Obesity. 2020;4(2):108-118. DOI:10.25048/tudod.723725
  • Yıldırım UY, Esen A. A study of the valıdıty and relıabılıty of the “elderly dıabetes burden scale” for the Turkısh socıety. Turkish Journal of Geriatrics. 2012;15 (1):61-67.
  • Hibbard JH, Greene J, Sacks RM, Overton V, Parrotta C. Improving population health management strategies: Identifying patients who are more likely to be users of avoidable costly care and those more likely to develop a new chronic disease. Health Services Research. 2017;52(4):1297–1309. DOI:10.1111/1475-6773.12545
  • Hendriks M, Rademakers J. Relationships between patient activation, disease-specific knowledge and health outcomes among people with diabetes; a survey study. Hendriks and Rademakers BMC Health Services Research. 2014;14:393. DOI:10.1186/1472-6963-14-393
  • Bostouwen I, Schuurmans M, Monninkhof EM. Patient and disease characteristics associated with activation for self- management in patients with diabetes, chronic obstructive pulmonary disease, chronic heart failure and chronic renal disease: A cross-sectional survey study. Plos One. 2015;10(5):1–16. DOI: 10.1371/journal.pone.0126400
  • Magnezi R, Glasser S. Psychometric properties of the hebrew translation of the Patient Activation Measure (PAM-13). Plos One. 2014;9(11):1-6. DOI: 10.1371/journal.pone.0113391
  • Yadav UN, Lloyd J, Hosseinzadeh H, Baral KP, Harris MF. Do Chronic Obstructive Pulmonary Diseases (COPD) Self-management ınterventions consider health literacy and patient activation? A systematic review. Journal of Clinical Medicine. 2020;9(3):646. DOI:10.3390/jcm9030646
  • Sacks RM, Greene J, Hibbard J, Overton V, Parrotta CD. Does patient activation predict the course of type 2 diabetes? A longitudinal study. Patient Education and Counseling. 2017;100(7):1268-1275. DOI: 10.1016/j.pec.2017.01.014
  • A van Vugt H, Meike Boels A, de Weerdt I, de Koning EJP, Rutten G. Patient activation in individuals with type 2 diabetes mellitus: associated factors and the role of insülin. Patient Preference and Adherence. 2019;13:73–81. DOI: 10.2147/PPA.S188391
  • Sacks RM, Greene J, Hibbard JH, Overton V. How well do patient activation scores predict depression outcomes one year later?. Journal of Affective Disorders. 2014;169:1-6. DOI:10.1016/j.jad.2014.07.030
  • Cibeles M, Luis GP, Cristina M, Emilia A, MDolores N, Alberto GF. Adaptation to european spanish and psychometric properties of the patient activation measure 13 in patients with chronic diseases. Family Practice. 2017;34(5):627–634.DOI: 10.1093/fampra/cmx022
  • Lightfoot CJ, Nair D, Bennett PN, Smith AC, Griffin AD, Warren M, Wilkinson TJ. Patient activation: The cornerstone of effective self-management in chronic kidney disease. Kidney Dial. 2022;2:91–105. DOI: 10.3390/kidneydial2010012
There are 29 citations in total.

Details

Primary Language English
Subjects Endocrinology, Geriatrics and Gerontology
Journal Section Articles
Authors

Mehtap Bölükbaşı 0000-0002-2820-8386

Neşe Uysal 0000-0002-9697-8227

Publication Date December 29, 2024
Submission Date February 16, 2024
Acceptance Date November 29, 2024
Published in Issue Year 2024 Volume: 14 Issue: 4

Cite

APA Bölükbaşı, M., & Uysal, N. (2024). Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes. Clinical and Experimental Health Sciences, 14(4), 1015-1020. https://doi.org/10.33808/clinexphealthsci.1438208
AMA Bölükbaşı M, Uysal N. Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes. Clinical and Experimental Health Sciences. December 2024;14(4):1015-1020. doi:10.33808/clinexphealthsci.1438208
Chicago Bölükbaşı, Mehtap, and Neşe Uysal. “Diabetes Burden and Activation Levels in Elderly Individuals With Diabetes”. Clinical and Experimental Health Sciences 14, no. 4 (December 2024): 1015-20. https://doi.org/10.33808/clinexphealthsci.1438208.
EndNote Bölükbaşı M, Uysal N (December 1, 2024) Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes. Clinical and Experimental Health Sciences 14 4 1015–1020.
IEEE M. Bölükbaşı and N. Uysal, “Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes”, Clinical and Experimental Health Sciences, vol. 14, no. 4, pp. 1015–1020, 2024, doi: 10.33808/clinexphealthsci.1438208.
ISNAD Bölükbaşı, Mehtap - Uysal, Neşe. “Diabetes Burden and Activation Levels in Elderly Individuals With Diabetes”. Clinical and Experimental Health Sciences 14/4 (December 2024), 1015-1020. https://doi.org/10.33808/clinexphealthsci.1438208.
JAMA Bölükbaşı M, Uysal N. Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes. Clinical and Experimental Health Sciences. 2024;14:1015–1020.
MLA Bölükbaşı, Mehtap and Neşe Uysal. “Diabetes Burden and Activation Levels in Elderly Individuals With Diabetes”. Clinical and Experimental Health Sciences, vol. 14, no. 4, 2024, pp. 1015-20, doi:10.33808/clinexphealthsci.1438208.
Vancouver Bölükbaşı M, Uysal N. Diabetes Burden and Activation Levels in Elderly Individuals with Diabetes. Clinical and Experimental Health Sciences. 2024;14(4):1015-20.

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