Biopsychosocial Determinants of Glycemic Control and Microvascular Health: An Interdisciplinary Approach
P. Miteva
, A. Alexandrova-Karamanova
, N. Antonova
, E. Dimitrova
Резюме: Objective: To describe a theoretical model of the biopsychosocial determinants of diabetes self-management and microvascular health. Materials and methods: This is a theoretical study based on review and analysis of biomedi-cal and psychological literature on diabetes, its chronic effects and complications, and determinants of diabetes self-management and microvascular health. Results: The main psychosocial factors associated with diabetes are identified. A biopsychosocial model of diabetes self-management and microvascular health is proposed, including biomedical (type of diabetes, time since diagnosis, type and severity of complications, comorbidities), psychological (diabetes distress, depression, anxiety, type D personality, coping styles, self-efficacy), and social factors (social support, environmental stressors, socioeconomic status, access to medical service) as determinants of diabetes self-management (blood glucose monitoring, diet, exercise, weight management, adherence to medication, adherence to medical visits), that predict the peripheral microvascular activity (endothelial function and vasodilation). Discus-sion: Based on the proposed model, an empirical interdisciplinary study and a development of a prototype of non-invasive personalized home system for monitoring and predicting complications in the peripheral vascular system are planned. Conclusion: Interdisciplinary biomedical and psychological approach has the potential to integrate and address the most important diabetes-related determinants to support effective diabetes self-management and prevention and mitigation of complications, through the development of personalized and accessible digital solu-tions.
Series on Biomechanics, Vol.38, No.4(2024), 116-126
DOI: 10.7546/SB.16.04.2024
Ключови думи: biopsychosocial model; diabetes; digital self-management platform; glycemic control; microvascular activity
Литература: (click to open/close) | [1] IDF Diabetes Atlas.10th ed., 2021 https://diabetesatlas.org/idfawp/resource-files/2021/07/IDF_Atlas_10th_Edition_2021.pdf [2] Rooney, M.R., Fang, M., Ogurtsova, K., Ozkan, B., Echouffo-Tcheugui, J.B., Boyko, E.J., Magliano, D.J., Sel-vin, E., 2023. Global prevalence of prediabetes. Diabetes Care 46 (7), 1388–1394. [3] IDF, Annual Report, 2022 https://idf.org/media/uploads/2023/07/IDF_Annual_Report_2022_Final.pdf [4] Data from the Registry of patients with diabetes in the republic of Bulgaria, accessed on 26.11.23 via https://usbale.org/bg/registar-zaharen-diabet/ [5] GBD 2021 Biabetes Collaborators., 2023. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021; The Lancet, Volume 402, 10397, 203 – 234 [6] Mitov K, Mitkova Z, Tachkov K, Manova, M., Kamusheva M, Dimitrova M, Petkiva, V., Savova, Al., Done-va, M., Charakchiev D., Zaharieva, S., Valov, V., Angelova, G., Petrova, G., 2019. The diabetes mellitus morbidity, complications and control in Bulgaria. General Medicine, XXI (2), 16-23 (in Bulgarian). [7] IDF Diabetes Atlas 9th edition., 2019. https://diabetesatlas.org/atlas/ninth-edition/ [8] Tachkov K, Mitov K, Koleva Y, Mitkova Z, Kamusheva M, Dimitrova M, et al., 2020. Life expectancy and survival analysis of patients with diabetes compared to the non diabetic population in Bulgaria. PLoS ONE 15(5): e0232815. https://doi.org/10.1371/journal.pone.0232815 [9] Peyrot M., McMurry J. 1985. Psychosocial Factors in Diabetes Control: Adjustment of Insulin-Treated Adults. Psychosomatic Medicine 47,(6). [10] Peyrot M., McMurry J., Kruger D. 1999. A Biopsychosocial Model of Glycemic Control in Diabetes: Stress, Coping and Regimen Adherence. Journal of Health and Social Behavior, 40, (2) p. 141-158 [11] Bolton D., Gillett G., 2019. The Biopsychosocial model of health and disease. Palgrave Macmillan [12] Amsah, N., Md Isa, Z., & Ahmad, N. 2022. Biopsychosocial and Nutritional Factors of Depression among Type 2 Diabetes Mellitus Patients: A Systematic Review. International Journal of Environmental Research and Public Health, 19(8), 4888. https://doi.org/10.3390/ijerph19084888 [13] Elissen AMJ, Hertroijs DFL, Schaper NC, Bosma H, Dagnelie PC, Henry RM, et al. 2017 Differences in bi-opsychosocial profiles of diabetes patients by level of glycaemic control and health-related quality of life: The Maastricht Study. PLoS ONE 12(7): e0182053. https://doi.org/10.1371/journal.pone.0182053 [14] Papatheodorou, K., Banach, M., Bekiari, E., Rizzo, M., Edmonds, M., 2018. Complications of diabetes 2017. Journal of Diabetes Research 3086167. [15] Velcheva, I., Damianov, P., Antonova, N., Stoyneva, Z., Mantarova, St., Dimitrova, V., 2011. Hemorheology and vascular reactivity in patients with diabetes mellitus type 2. Clinical Hemorheology and Microcirculation, 49, 1-4, DOI:10.3233/CH-2011-1501, 505-511 [16] Sharma, S., Brown, C., 2022. Microvascular basis of cognitive impairment in type 1 diabetes, Pharmacology & Therapeutics, 229,107929, https://doi.org/10.1016/j.pharmthera.2021.107929. [17] Antonova, N., Tsiberkin, K., Podtaev, S., Paskova, V., Velcheva, I., Chaushev, N., 2016. Comparative Study Between Microvascular Tone Regulation and Rheological Properties of Blood in Patients with Type 2 Diabetes Mellitus. 2016, Clinical Hemorheology and Microcirculation, vol. 64 (4), 837 – 844, DOI: 10.3233/CH-168000. [18] Antonova, N., Velcheva, I., Paskova, V., 2022. Hemorheological and Microvascular Disturbances in Patients with Type 2 Diabetes Mellitus, Clinical Hemorheology and Microcirculation, 81 (4) 325-341, 2022: 325 – 341, 10.3233/CH-221393. [19] Koo B., Kim S,, Yi K., Moon M., 2015. Low economic status is identified as an emerging risk factor for diabe-tes mellitus in Korean men aged 30 to 59 years in Korean national health and nutrition examination survey 2008 to 2010. Diabetes Metab J. (2):137-46. doi: 10.4093/dmj.2015.39.2.137. [20] Milewski, J., & Chen, Y., 2010. Barriers of obtaining health information among diabetes patients. Studies in health technology and informatics, 160 (1), 18-22. [21] Robinson D., Coons, M., Haensel, H., Vallis, M., Yale, J., 2018. Diabetes and mental health. 2018 Clinical Practice Guidelines. Canadian Journal of Diabetes 42, S130-S141. [22] Stuckey HL, Mullan-Jensen CB, Reach G, Kovacs Burns K, Piana N, Vallis M, Wens J, Willaing I, Skovlund SE, Peyrot M., 2014. Personal accounts of the negative and adaptive psychosocial experiences of people with dia-betes in the second Diabetes Attitudes, Wishes and Needs (DAWN2) study. Diabetes Care 37, 2466–2474. [23] Nicolucci A, Kovacs K., Holt R., Comaschi M., Hermanns N., Ishii H., Kokoszka A., Pouwer F., Skovlund S., Stuckey H., et al., 2013. Diabetes attitudes, wishes and needs second study (DAWN2™): cross-national benchmark-ing of diabetes-related psychosocial outcomes for people with diabetes. Diabetic Medicine 30, 767–777. [24] Bădescu, S., Tătaru, C., Kobylinska, L., Georgescu, E., Zahiu, D., Zăgrean, A., Zăgrean, L., 2016. The associa-tion between diabetes mellitus and depression. Journal of Medicine and Life 9 (2), 120–125. [25] Messina R., Lenzi J., Rosa S., Fantini, M., Di Bartolo, P., 2024. Clinical health psychology perspectives in dia-betes care: A Retrospective Cohort Study Examining the Role of Depression in Adherence to Visits and Examina-tions in Type 2 Diabetes Management. Healthcare 12, 1942. [26] Gillett, A., Hagenaars, S., Handley D., Casanova F., Young K., Green H., Lewis M., Tyrrell J., 2024. The impact of major depressive disorder on glycaemic control in type 2 diabetes: a longitudinal cohort study using UK Biobank primary care records. BMC Medicine, 22 (1), 211. [27] Mezuk B, Eaton W., Albrecht S., Golden S., 2008. Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care.31:2383–90. [28] Atlantis E., Vogelzangs N., Cashman K., Penninx, 2012. Common mental disorders associated with 2-year diabetes incidence: the Netherlands Study of Depression and Anxiety (NESDA). J Affect Disorders 142: 30–5. [29] Virtanen M., Ferrie J., Tabak A., Akbaraly T., Vahtera J., Singh-Manoux A., et al., 2014. Psychological distress and incidence of type 2 diabetes in high-risk and low-risk populations: the Whitehall II cohort study. Diabetes Care 37:2091–7. [30] Mommersteeg P., Herr R., Pouwer F., Holt R., Loerbroks A., 2013. The association between diabetes and an episode of depressive symptoms in the 2002 World Health Survey: an analysis of 231, 797 individuals from 47 countries. DiabetMed J Br Diabet Assoc.30:e208–14. [31] Roy T, Lloyd C., 2012. Epidemiology of depression and diabetes: a systematic review. J Affect Disord. 142: 8–21. [32] Hackett R., Steptoe A., 2016. Psychosocial Factors in Diabetes and Cardiovascular Risk. Curr Cardiol Rep (2016) 18: 95 DOI 10.1007/s11886-016-0771-4 [33] Guo X., Wu S., Tang H., Li Y., Dong W., Lu G., Liang S., Chen C., 2023. The relationship between stigma and psychological distress among people with diabetes: a meta-analysis. BMC Psychol. 11(1):242. doi: 10.1186/s40359-023-01292-2. PMID: 37620853; PMCID: PMC10463375. [34] Conti, C., Carrozzino, D., Patierno, C., Vitacolonna, E., Fulcheri, M., 2016. The Clinical link between Type D Personality and Diabetes. Frontiers in psychiatry, 7, 113. [35] Bozhkova E., Hristov V., 2007. Psychological profile of the diabetic. Unconscious resistance to the treatment regimen in diabetes mellitus. Journal of the Bulgarian Society of Endocrinology (BSE), 22 (4), p.211 [36] Hristova, V., 2020. Associations of Personality traits with Eating Behaviors in Adults. Psychological Research and Practice. International Thematic Proceedia, p.107-119. [37] Velcheva, I., Damianov, P., Mantarova, St., Antonova, N., 2012. Cold pressor test: Effects on cardiac auto-nomic control and cerebral hemodynamic response in patients with diabetes mellitus type 2. Series on Biomechan-ics, 27(1-2), 64-69 [38] Robinson D., Coons, M., Haensel, H., Vallis, M., Yale, J., 2018. Diabetes and mental health. 2018 Clinical Practice Guidelines. Canadian Journal of Diabetes 42, S130-S141. [39] Aikens, J., Jan W., Bell D., and Cole J., 1992. Daily stress variability, learned resourcefulness, regimen adher-ence, and metabolic control in type I diabetes mellitus: evaluation of a path model. Journal of Consulting and Clin-ical Psychology 60:113-18. [40] Virk J., Li J., Vestergaard M., Obel C., Kristensen J., Olsen J., 2012. Prenatal exposure to bereavement and type-2 diabetes: A Danish longitudinal population based study. PLoS One. 7, e43508. [41] Glaister K., 2010. A biopsychosocial model of diabetes self-management: Mediators and moderators. Doctor-al thesis. Murdoch University [42] Nyberg S., Fransson E., Heikkilä K., Ahola K., Alfredsson L., Bjorner J., 2014. Job strain as a risk factor for type 2 diabetes: A pooled analysis of 124,808 men and women. Diabetes Care. S37:2268–75. A large analysis associating work stress with future diabetes onset. [43] Wiernik E., Nabi H., Thomas F., Pannier B., Hanon O., Simon T., et al., 2016. Association between current perceived stress and incident diabetes is dependent on occupational status: evidence from the IPC cohort study. Diabetes Metab. doi:10.1016/j.diabet.2016.01.004. [44] Knol M., Twisk J., Beekman A., Heine R., Snoek F., Pouwer F., 2006. Depression as a risk factor for the onset of type 2 diabetes mellitus. A meta-analysis. Diabetologia. 49:837–45. [45] Ali S., Stone M., Skinner T., Robertson N., Davies M., Khunti K., 2010 The association between depression and health-related quality of life in people with type 2 diabetes: a systematic literature review. Diabetes Metab Res Rev.26:75–89. [46] Rush W., Whitebird R., Rush M., Solberg L., O’Connor P., 2008 Depression in patients with diabetes: does it impact clinical goals? J Am Board Fam Med.21:392–7. [47] Sieu N, KatonW, Lin E, Russo J, Ludman E, Ciechanowski P., 2011. Depression and incident diabetic retinopa-thy: a prospective cohort study. Gen Hosp Psychiatry33:429–35. [48] Williams L., Rutter C., Katon W., Reiber G., Ciechanowski P., Heckbert S., Lin E., Ludman E., Oliver M., Young B., Von Korff M., 2010. Depression and incident diabetic foot ulcers: a prospective cohort study. Am J Med. 123(8):748-754.e3. doi: 10.1016/j.amjmed.2010.01.023. PMID: 20670730; PMCID: PMC2913143. [49] Habtewold T., Islam A., Radie Y., Tegegne B., 2016. Comorbidity of depression and diabetes: an application of biopsychosocial model. Int J Ment Health Syst 10:74 [50] Stanojević, V., Jevtić, M., Mitrović, M., Panajotović, M., Aleksić, A., Stanojević, Č., 2022. Relationship and influences of behavioral and psychological factors on metabolic control of patients with type 2 diabetes melli-tus.Vojnosanit Pregl, 79(12), 1177–1185. DOI: https://doi.org/10.2298/VSP211011104S [51] Hughes A., Berg C., Wiebe D., 2014. Emotional processing and self-control in adolescents with type 1 diabetes. J Pediatr Psychol 37(8):925-34. doi: 10.1093/jpepsy/jss062 [52] Lin, Y. H., Chen, D. A., Lin, C., Huang, H., 2020. Type D Personality Is Associated with Glycemic Control and Socio-Psychological Factors on Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study. Psychology Re-search and Behavior Management, 13, 373–381. [53] Akbari, H., Dehghani, F. & Salehzadeh, M., 2020. The impact of type D personality on self-care of patients with type 2 diabetes: the mediating role of coping strategies. J Diabetes Metab Disord 19, 1191–1198 [54] Geerling R., Kothe E., Anglim J., Emerson C., Holmes-Truscott E. Speight J., 2022. Personality and weight management in adults with type 2 diabetes: A systematic review. Frontiers in Clinical Diabetes and Healthcare 3:1044005 [55] Lo, C.J., Lee, L., Yu, W. et al., 2023. Mindsets and self-efficacy beliefs among individuals with type 2 diabetes. Sci Rep 13, 20383 [56] Calli, D., & Kartal, A., 2021. The relationship between self-efficacy of diabetes management and well-being in patients with type 2 diabetes. Nigerian journal of clinical practice, 24(3), 393–399. [57] King, D., Russell E., Deborah J. Toobert, Lisa A. Strycker, Paul A. Estabrooks, Diego Osuna, Andrew J., 2010. Self-Efficacy, Problem Solving, and Social-Environmental Support Are Associated With Diabetes Self-Management Behaviors. Diabetes Care, 33 (4): 751–753. [58] Karimy, M., Koohestani, H., Araban, M., 2018. The association between attitude, self-efficacy, and social support and adherence to diabetes self-care behavior. Diabetol Metab Syndr 10, 86 [59] Litman T., 1974. The family as a basic unit in health and medical care: A social-behavioural overview. Soc Sci Med. 8(9–10):287–304. https://doi.org/10.1016/0037-7856(74)90072-9 [60] Albright T., Parchman M., Burge S., 2001. Predictors of self-care behaviours in adults with type 2 diabetes: An RRNeST study. Fam Med. 33(5):354–360. [61] Chan, C., Cockshaw, W., Smith, K., Holmes-Truscott, E., Pouwer, F., & Speight, J., 2020. Social support and self-care outcomes in adults with diabetes: The mediating effects of self-efficacy and diabetes distress. Results of the second diabetes MILES - Australia (MILES-2) study. Diabetes research and clinical practice, 166, 108314. [62] WHO. Global status report on non-communicable disease., 2014. Geneva: World Health Organization; 2014. ISBN 978 92 4 156485 4 https://www.fao.org/fileadmin/user_upload/red-icean/docs/global%20status%20report%20on%20NCD.pdf [63] Shah S., Meadows J., Burg M., Pfau S, Soufer R., 2020. Effects of Psychological Stress on Vascular Physiolo-gy: Beyond the Current Imaging Signal. Curr Cardiol Rep. 22(12):156. doi: 10.1007/s11886-020-01406-x. PMID: 33037500. [64] Paskova, V., Antonova, N., Velcheva, I., Chaushev, N., Chalakov, H., 2020. Skin blood flow regulation mech-anisms in patients with Diabetes mellitus type 2, Series on Biomechanics, 34, 3, 37- 42 [65] Zherebtsov, E.A., Zharkikh, E.V., Loktionova, Y.I., Zherebtsova, A.I., Sidorov, V.V., Rafailov, E. U., Dunaev, A.V., 2023.Wireless Dynamic Light Scattering Sensors Detect Microvascular Changes Associated With Ageing and Diabetes. IEEE transactions on biomedical engineering, 70,11, 3073-3081 [66] Sidorov, V. V., Rybakov, Yu. L., Gukasov, V. M., Evtushenko, G. S., 2022. A System of Local Analyzers for Noninvasive Diagnostics of the General State of the Tissue Microcirculation System of Human Skin. Biomedical Engineering, 55, 6, 379-382, DOI 10.1007/s10527-022-10140-3. |
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| Дата на публикуване: 2024-12-11
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