Volume 9, Issue 2 (Apr- June 2020)
JCHR 2020, 9(2): 107-118 |
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Rahimi M, Jalali M, Nouri R, Rahimi M. The Mediating Role of Resilience and Diabetes Distress in Relationship between Depression and Treatment adherence in type 2 Diabetic among Iranian patients. JCHR 2020; 9 (2) :107-118
URL: http://jhr.ssu.ac.ir/article-1-603-en.html
URL: http://jhr.ssu.ac.ir/article-1-603-en.html
1- 1. Department of Cilinical Psychology, Faculty of Educational Sciences & Psychology, Kharazmi University, Tehran, Iran
2- 2. Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Buin zahra Branch, Karaj, Iran
3- 3. Internal medicine specialist, Isfahan University of Medical Sciences, Isfahan, Iran
2- 2. Department of Psychology, Faculty of Educational Sciences & Psychology, Islamic Azad University, Buin zahra Branch, Karaj, Iran
3- 3. Internal medicine specialist, Isfahan University of Medical Sciences, Isfahan, Iran
Abstract: (3449 Views)
Introduction: The coexistence of mental health problems in diabetic patients can lead to poor disease management. This study aimed at investigating the mediating role of resilience and diabetes distress in the relationship between depression and treatment adherence in type 2 diabetes among Iranian patients.
Methods: It is a type of analytical study conducted from 2019 to 2020. The statistical population of this study consisted of all-diabetic patients in Tehran. The subjects (200) were selected after purposeful clinical evaluation and qualification of research. In this study, Beck Depression Inventory (BDI), the Persian Version of the Morisky Medication Adherence Scale-8, Diabetes Distress Scale (DDS), Conner & Davison Resilience Scale (CDRS) were used to collect the data. Pearson correlation test by SPSS version 24 and Confirmatory Factor Analysis in AMOS software version 22 were used for analysis (P<0.05).
Results: In the present study, most participants (about 36.5%) were in the age group of 56-65 and 58.5% of them were female. According to the results, the variables of depression and diabetes distress has a negative and significant correlation with adherence to treatment (r= -.408, p<0.05). The resiliency has a positive and significant correlation with adherence to treatment (r= 0.414, p<0.05).
Conclusion: The findings showed a link between depression, diabetes distress, resilience, and treatment adherence. Resilience and anxiety from diabetes play a mediating role between depression and adherence to care. Paying attention to patient resilience may lead to improved depression and diabetes distress in patients with diabetes, to increase the patient’s involvement in treatment adherence.
Methods: It is a type of analytical study conducted from 2019 to 2020. The statistical population of this study consisted of all-diabetic patients in Tehran. The subjects (200) were selected after purposeful clinical evaluation and qualification of research. In this study, Beck Depression Inventory (BDI), the Persian Version of the Morisky Medication Adherence Scale-8, Diabetes Distress Scale (DDS), Conner & Davison Resilience Scale (CDRS) were used to collect the data. Pearson correlation test by SPSS version 24 and Confirmatory Factor Analysis in AMOS software version 22 were used for analysis (P<0.05).
Results: In the present study, most participants (about 36.5%) were in the age group of 56-65 and 58.5% of them were female. According to the results, the variables of depression and diabetes distress has a negative and significant correlation with adherence to treatment (r= -.408, p<0.05). The resiliency has a positive and significant correlation with adherence to treatment (r= 0.414, p<0.05).
Conclusion: The findings showed a link between depression, diabetes distress, resilience, and treatment adherence. Resilience and anxiety from diabetes play a mediating role between depression and adherence to care. Paying attention to patient resilience may lead to improved depression and diabetes distress in patients with diabetes, to increase the patient’s involvement in treatment adherence.
Review: Research |
Subject:
Health information management
Received: 2020/01/22 | Accepted: 2020/06/29 | Published: 2020/06/29
Received: 2020/01/22 | Accepted: 2020/06/29 | Published: 2020/06/29
References
1. Sun N, Lou P, Shang Y, et al Prevalence and determinants of depressive and anxiety symptoms in adults with type 2 diabetes in China: a cross-sectional study. BMJ Open. 2016; 6(8): e 012540. [DOI:10.1136/bmjopen-2016-012540]
2. Bai X, Liu Z, Li Z, et al. The association between insulin therapy and depression in patients with type 2 diabetes mellitus: a meta-analysis. BMJ Open. 2018; 8(11): e 020062. [DOI:10.1136/bmjopen-2017-020062]
3. Khan ZD, Lutale J, Moledina SM. Prevalence of Depression and Associated Factors among Diabetic Patients in an Outpatient Diabetes Clinic. Psychiatry Journal. 2019. [DOI:10.1155/2019/2083196]
4. Kumar N, Unnikrishnan B, Thapar R, et al. Distress and Its effect on adherence to antidiabetic medications among type 2 diabetes patients in Coastal South India. Journal of Natural Science, Biology, and Medicine. 2017; 8(2): 216. [DOI:10.4103/0976-9668.210008]
5. Wang X, Kindzierski W, Kaul P. Comparison of transient associations of air pollution and AMI hospitalisation in two cities of Alberta, Canada, using a case-crossover design. BMJ open. 2015; 5(11): e 009169. [DOI:10.1136/bmjopen-2015-009169]
6. Gonzalez JS, Peyrot M, McCarl LA, et al. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care. 2008; 31(12): 2398-2403. [DOI:10.2337/dc08-1341]
7. Gonzalez JS, Tanenbaum ML, Commissariat PV. Psychosocial factors in medication adherence and diabetes self-management: Implications for research and practice. American Psychologist. 2016; 71(7): 539-551. [DOI:10.1037/a0040388]
8. Luca A, Luca M, Di Mauro M, et al. Alexithymia, more than depression, influences glycaemic control of type 2 diabetic patients. Journal of endocrinological investigation. 2015; 38(6): 653-660. [DOI:10.1007/s40618-015-0238-2]
9. Gonzalez JS, Shreck E, Psaros C, et al. Distress and type 2 diabetes-treatment adherence: A mediating role for perceived control. Health Psychology. 2015; 34(5): 505-513. [DOI:10.1037/hea0000131]
10. Félix IB, Guerreiro MP, Cavaco A, et al. Development of a Complex Intervention to Improve Adherence to Antidiabetic Medication in Older People Using an Anthropomorphic Virtual Assistant Software. Frontiers in Pharmacology. 2019; 10: 680. [DOI:10.3389/fphar.2019.00680]
11. Krass I, Schieback P, Dhippayom T. Adherence to diabetes medication: a systematic review. Diabetic Medicine. 2015; 32(6): 725-737. [DOI:10.1111/dme.12651]
12. Juste AM, Miguel AG, Plou BP, et al. Adherence to treatment of hypertension, hypercholesterolaemia and diabetes in an elderly population of a Spanish cohort. Medicina Clínica (English Edition). 2019; 153(1): 1-5. [DOI:10.1016/j.medcle.2018.10.026]
13. Menditto E, Cahir C, Aza-Pascual-Salcedo M, et al. Adherence to chronic medication in older populations: application of a common protocol among three European cohorts. Patient preference and adherence. 2018; 12: 1975-1987. [DOI:10.2147/PPA.S164819]
14. Massey CN, Feig EH, Duque-Serrano L, et al. Psychological Well-Being and Type 2 Diabetes. Current research in diabetes & obesity journal.2017; 4(4):e 555641. [DOI:10.19080/CRDOJ.2017.04.555641]
15. Baucom KJ, Turner SL, Tracy EL, et al. Depressive symptoms and diabetes management from late adolescence to emerging adulthood. Health Psychology. 2018; 37(8): 716-724. [DOI:10.1037/hea0000645]
16. Sexton MB, Byrd MR, von Kluge S. Measuring resilience in women experiencing infertility using the CD-RISC: Examining infertility-related stress, general distress, and coping styles. Journal of psychiatric research. 2010; 44(4): 236-241. [DOI:10.1016/j.jpsychires.2009.06.007]
17. Johnson J, Wood AM, Gooding P, et al. Resilience to suicidality: The buffering hypothesis. Clinical psychology review. 2011; 31(4): 563-591. [DOI:10.1016/j.cpr.2010.12.007]
18. Torabizadeh C, Asadabadi Poor Z, Shaygan M. The Effects of Resilience Training on the Self-Efficacy of Patients with Type 2 Diabetes: A Randomized Controlled Clinical Trial. International journal of community based nursing and midwifery. 2019; 7(3): 211-221.
19. Nawaz A, Malik JA, Batool A. Relationship between resilience and quality of life in diabetics. Journal of the College of Physicians and Surgeons Pakistan. 2014; 24(9): 670-675.
20. Young-Hyman D, De Groot M, Hill-Briggs F, et al. Psychosocial care for people with diabetes: a position statement of the American Diabetes Association. Diabetes Care. 2016; 39(12): 2126-2140. [DOI:10.2337/dc16-2053]
21. Chew BH, Vos RC, Stellato RK, et al. Diabetes-Related Distress and Depressive Symptoms Are Not Merely Negative over a 3-Year Period in Malaysian Adults with Type 2 Diabetes Mellitus Receiving Regular Primary Diabetes Care. Frontiers in psychology. 2017; 8: 1834-1841. [DOI:10.3389/fpsyg.2017.01834]
22. Avci D, Kelleci M. Alexithymia in patients with type 2 diabetes mellitus: the role of anxiety, depression, and glycemic control. Patient preference and adherence. 2016;10: 1271-1277. [DOI:10.2147/PPA.S110903]
23. Fisher L, Glasgow RE, Mullan JT, et al. Development of a brief diabetes distress screening instrument. The Annals of Family Medicine.2008; 6(3): 246-252. [DOI:10.1370/afm.842]
24. Fukuda N, Gandhi K, Lim E, et al. Validation of the Diabetes Distress Scale in an Asian Pacific Islander Population. Hawai'i Journal of Medicine & Public Health. 2019; 78(1): 3-7.
25. Baek RN, Tanenbaum ML, Gonzalez JS. Diabetes burden and diabetes distress: The buffering effect of social support. Annals of Behavioral Medicine. 2014; 48(2): 145-155. [DOI:10.1007/s12160-013-9585-4]
26. Yi-Frazier JP, Cochrane K, Whitlock K, et al. Trajectories of Acute Diabetes-Specific Stress in Adolescents With Type 1 Diabetes and Their Caregivers Within the First Year of Diagnosis. Journal of Pediatric Psychology. 2018; 43(6): 645-653. [DOI:10.1093/jpepsy/jsy003]
27. Ramkisson S, Pillay BJ, Sartorius B. Diabetes distress and related factors in South African adults with type 2 diabetes. Journal of Endocrinology, Metabolism and Diabetes of South Africa. 2016; 21(2): 35-39. [DOI:10.1080/16089677.2016.1205822]
28. Jannoo Z, Wah YB, Lazim AM, et al. Examining diabetes distress, medication adherence, diabetes self-care activities, diabetes-specific quality of life and health-related quality of life among type 2 diabetes mellitus patients. Journal of Clinical & Translational Endocrinology. 2017; 9: 48-54 [DOI:10.1016/j.jcte.2017.07.003]
29. Sobel ME. Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology. 1982; 13: 290-312. [DOI:10.2307/270723]
30. Beck A, Ward C, Mendelsohn M, et al. An inventory for measuring depression Arch Gen Psychiatry. 1961; 4(6): 561-571. [DOI:10.1001/archpsyc.1961.01710120031004]
31. Ghassemzade H, Mojtabai R, Karamghadiri N, et al. Psychometric properties of a Persian-language version of the Beck Depression Inventory-second edition: BDI-II-Persian. Depression and anxiety. 2005; 21(4): 185-192. [DOI:10.1002/da.20070]
32. Morisky DE, Green LW, Levine DM. Concurrent and predictive validity of a self-reported measure of medication adherence. Medical Care. 1986; 24(1): 67-74. [DOI:10.1097/00005650-198601000-00007]
33. Morisky DE, Ang A, Krousel-Wood M, et al. Predictive validity of a medication adherence measure in an outpatient setting. The Journal of Clinical Hypertension. 2008; 10(5): 348-354. [DOI:10.1111/j.1751-7176.2008.07572.x]
34. Moharamzad Y, Saadat H, Nakhjavan Shahraki B, et al. Validation of the Persian Version of the 8-Item Morisky Medication Adherence Scale (MMAS-8) in Iranian Hypertensive Patients. Global journal of health science. 2015; 7(4): 173-183. [DOI:10.5539/gjhs.v7n4p173]
35. Connor KM, Davidson JR. Development of a new resilience scale: The Connor-Davidson resilience scale (CD‐RISC). Depression and anxiety. 2003; 18(2): 76-82. [DOI:10.1002/da.10113]
36. Jowkar B, Friborg O, Hjemdal O. Cross-cultural validation of the Resilience Scale for Adults (RSA) in Iran. Scandinavian journal of psychology. 2010; 51(5): 418-425. [DOI:10.1111/j.1467-9450.2009.00794.x]
37. Polonsky WH, Fisher L, Esarles J, et al. Assessing psychosocial distress in diabetes: Development of the Diabetes Distress Scale. Diabetes Care. 2005; 28(3): 626-631. [DOI:10.2337/diacare.28.3.626]
38. Baradaran HR, Mirghorbani SM, Javanbakht A, et al. Diabetes Distress and its Association with Depression in Patients with Type 2 Diabetes in Iran. International journal of preventive medicine. 2013; 4(5): 580-584.
39. Bahremand M, Rai A, Alikhani M, et al. Relationship between family functioning and mental health considering the mediating role of resiliency in type 2 diabetes mellitus patients. Global journal of health science. 2015; 7(3): 254-259. [DOI:10.5539/gjhs.v7n3p254]
40. Wojujutari AK, Alabi OT, Emmanuel IE. Psychological resilience moderates influence of depression on sleep dysfunction of people living with diabetes. Journal of Diabetes & Metabolic Disorders. 2019; 18(2): 429-436. [DOI:10.1007/s40200-019-00436-9]
41. Webster RE. Moderating effects of resilience and relationship between emotion dysregulation depressions in older. African Journal of Aging and Depression. 2018; 2(5): 1-19.
42. Grossman MR. Clarifying the nature of resilience: A MetaAnalytic approach. 2014.
43. Davydov DM, Stewart R, Ritchie K, et al. Resilience and mental health. Clinical psychology review. 2010; 30(5): 479-95. [DOI:10.1016/j.cpr.2010.03.003]
44. Choi JW, Cha B, Jang J, et al. Resilience and impulsivity in euthymic patients with bipolar disorder. Journal of Affective Disorders. 2015; 170: 172-177. [DOI:10.1016/j.jad.2014.08.056]
45. Min JA, Lee CU, Chae JH. Resilience moderates the risk of depression and anxiety symptoms on suicidal ideation in patients with depression and/or anxiety disorders. Comprehensive psychiatry. 2015; 56: 103-11. [DOI:10.1016/j.comppsych.2014.07.022]
46. Newton-John TR, Mason C, Hunter M. The role of resilience in adjustment and coping with chronic pain. Rehabilitation Psychology. 2014; 59(3): 360-365. [DOI:10.1037/a0037023]
47. Fisher L, Hessler DM, Polonsky WH, et al. When is diabetes distress clinically meaningful? : establishing cut points for the Diabetes Distress Scale. Diabetes Care. 2012; 35(2): 259-264. [DOI:10.2337/dc11-1572]
48. Rechenberg K, Whittemore R, Grey M. Anxiety in youth with type 1 diabetes. Journal of Pediatric Nursing. 2017; 32: 64-71. [DOI:10.1016/j.pedn.2016.08.007]
49. Hood KK, Rausch JR, Dolan LM. Depressive symptoms predict change in glycemic control in adolescents with type 1 diabetes: rates, magnitude, and moderators of change. Pediatric Diabetes. 2011; 12(8): 718-723. [DOI:10.1111/j.1399-5448.2011.00771.x]
50. Kongkaew C, Jampachaisri K, Chaturongkul CA, et al. Depression and adherence to treatment in diabetic children and adolescents: a systematic review and meta-analysis of observational studies. European journal of pediatrics. 2014; 173(2): 203-212. [DOI:10.1007/s00431-013-2128-y]
51. Alvarado-Martel D, Ruiz Fernández M, Cuadrado Vigaray M, et al. Identification of Psychological Factors Associated with Adherence to Self-Care Behaviors amongst Patients with Type 1 Diabetes. Journal of Diabetes Research. 2019. [DOI:10.1155/2019/6271591]
52. Pereira MG, Pedras S, Ferreira G. Self-reported adherence to foot care in type 2 diabetes patients: do illness representations and distress matter ?. Primary health care research & development. 2019; 20: e40. [DOI:10.1017/S1463423618000531]
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