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Glycemic Control and Depression Among Adults with Type 2 Diabetes Mellitus in Kiambu County
Subject area: Biological & Medical Sciences · Area of research: Medicine
Abstract
Introduction: Diabetes mellitus has been described as one of the 21st century global health emergencies. DM is among the four non communicable diseases causing 4M deaths annually (WHO, 2017). Glycemic control is measured by use of HbA1c. HbA1c measures glycemic control over the last eight to twelve weeks (WHO 2011). Good glycemic control has been shown to reduce both macro-vascular and micro-vascular complications. Depression is a mental illness characterized by feeling of sadness and loss of interest. It has an impact on how one feels, thinks and acts. It may affect one?s day to day activities and quality of life. As per the DSM-5, depression is attributed by one or two of: -diminished or irritable mood or reduced pleasure or interest plus 4 of: loss of energy or fatigue, guilt or feeling of worthlessness, problems concentrating, suicidal ideations, five percent weight gain or loss, change in activity, lack of or increased sleep. These symptoms should have lasted for at least two weeks. Depression can be either mild, moderate or severe. Chronic medical conditions are a risk factor for development of depression. There is bidirectional association between DM and depression. Depression may lead to complications of excessive weight-gain and obesity which are risk factors for T2DM. The study helped in establishing the relationship between glycemic control and depression for optimum patient care Study Objective: To determine the relationship between glycemic control and development of depression among type 2 diabetes patients in Kiambu county. Methodology: Multistage sampling method was used to select 1 level 5 facility and 4 level 4 facilities. Simple random sampling was used to recruit 384 participants for this study. The participants signed an informed consent before participating in the study. An interviewer-administered questionnaire was used to collect data. Results: A total of 380 patients participated in the study. Majority were elderly >60 years. Being widowed (52.8%) or divorced (55.9%) led to higher HbA1c and depression. Having a tertiary education level was associated with higher HbA1c level. Being unemployed, smoking, alcohol intake and obesity were all linked to higher HbA1c level and depression. Respondents who were on both OHAS and insulin and were non-compliant were more likely to have higher HbA1c levels and depression. Participants who had DM-related complications were more likely to have higher HbA1c level and depression. Age >60 years, being female, presence of another chronic illness and family history of mental illness were all linked to depression. Participants who had HbA1c >7% were significantly linked to higher chances of depression in this study. Conclusion: From the study, 55.3% had good glycemic control (HbA1c level <7%) while 44.7% had poor glycemic control (HbA1c >7%). The proportion of T2DM patients who had depression were 13% with majority having mild depression (11%). Moderate depression was present in 1% and severe depression was present in 1% of study population. Participants who had HbA1c >7% were significantly linked to higher chances of depression in this study.
References
[1] WHO. (2021). diabetes. world health organization, 1-3.
[2] Kaiser, A. B., Zhang, N., & Pluijm, W. V. (2018). global prevalence of type 2 diabetes oer the next ten years. diabetes journals.org, 67
[3] Landman, G. W., Hateren, K. J., Kleefstra, N., Groenier, K. H., Gans, R. O., & Bilo, H. J. (2010). the relationship between glycaemic control and mortality in patients with type 2 diabetes in general practice. british journal of general practice, 172-175.
[4] Zheng, F., Yan, L., Yang, Z., Zhong, B., & Xie, W. (2018, january 10). HbA1c, diabetes and cognitive decline: the english longitudinal study of the ageing. diabetologia 61, 2018 springer, p. 20.
[5] An Pan, M. L. (2010). Bidirectional association between depression and type 2 diabetes mellitus in women. archives of internal medicine, 21.
[6] American Diabetes Association. (2020). pharmacologic approaches to glycemic treatment. diabetes journals.org, s98-s110.
[7] Oliveira, C. M., Tureck, L. V., Liu, C., Horimoto, A. R., Barcells, M., Alvim, R. D., . . . Pereira, A. C. (2020). relationship between marital sttus and incidence of type 2 diabetes mellitus in a brazilian rural population. plos one 15, 8.
[8] Andrea Ruiz-Alejos, R. M.-L. (2018). addressing the impact of urban exposure on the incidence of type 2 diabetes mellitus; the PERU migrant study. scientific reports, 1.
[9] Nezhad, M. A., Mobarhan, M. G., Parizadeh, M. R., Safarian, M., Esmaeli, H., Parizadeh, S. M., . . . Ferns, G. (2008). prevalence of type 2 diabetes mellitus in iran and its relationship with gender, urbanisation, education, marital status and occupation . singapore medical journal 49, 571.
[10] Lee, T. C., Glynn, R. J., Pena, J. M., Conen, P., Ridker, P. M., Pradhan, A. D., . . . Albert, M. A. (2011). socioeconomic status and incident of type 2 diabetes mellitus. plos one, 12.
[11] Shuai Yuan, S. C. (2019). A causal relationship between cigarette smoking and type 2 diabetes mellitus: A mendelian randomization study. scientific reports, 1.
[12] Shamina Akter, A. G. (2017). Smoking and the risk of type 2 diabetes in Japan: a systematic review and meta-analysis. Journal of epidemiology, 553-561.
[13] Kim, S. J., Ju, A., Lim, S. G., & Kim, D. J. (2013). chronic alcohol consumption, type 2 diabetes mellitus, insulin-like growth factor-1, and growth hormone in ethanol-treated diabetic rats. life sciences93, 15-20.
[14] Bays, H. E., Chapman, R. H., & Grandy, S. (2007). the relationship of body mass index to diabetes mellitus, hypertension and dyslipidaemia: comparison of data from two national surveys. international journal of clinical practice, 10.
[15] Fasil, A., Biadgo, B., & Abebe, M. (2019, february-march 1). glycemic control and diabetes complications among diabetes mellitus patients attending at universityof gondarhospital northwest ethiopia. ncbi.nlm.nih.gov, p. 20.
[16] Kristy Iglay, H. H. (2016). prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. current medical research and opinion, 1243-1252.
[17] Addie Weaver, J. A. (2015). urban vs rural residence and prevalence of depression among African American and non-Hispanic white women. JAMA Psychiatry, 6.
[18] Eid, S. R., Gobinath, A. R., & Galea, L. A. (2019). sex differences in depression. progress in neurobiology, 86-102.
[19] Sharif, S., Raza, M. T., Mushtaq, S., Afreen, B., Hashmi, B. A., & Ali, M. H. (2019). frequency of depression in patients with type 2 diabetes mellitus and its relationship with glycemic control and diabetic microvascular complications. cureus 11, 7.
[20] Bulloch, A. G., Williams, J. V., Lavorato, D. H., & Patten, S. B. (2017). the depression and marital status relationship is modified by both age and gender. journal of affective disorders, 65-68.
[21] Abella, j. d., Mundo, J., Leonardi, M., chatterji, S., Adamczyk, B. T., Koskinen, S., . . . Haro, J. M. (2018). the association between socioeconomic status and depression among older adults in finland, poland and spain. journal of affective disorders, 311-318.
[22] Lawrence, D., Mitrou, F., & Zubrick, S. R. (2009). smoking and mental illness: results from population surveys in australia and united states. bmc public health, 13-20.
[23] Kuria, M. W., Ndetei, D. M., Obot, I. S., Khasakhala, L., & Bagaka, B. M. (2012). the association between alcohol dependence and depression before and after treatment for alcohol dependence. nairobi, kenya: hindawi.
[24] Volkow, N. D. (2006). the reality of comorbidity: depression and drug abuse. biological psychiatry, 714-717.
[25] Preiss, K., Brennan, L., & Clarke, D. (2013, june 4). a systematic review of variables associated with the relationship between obesity and depression. obesity reviews 14, pp. 10-14.
[26] Luppino , F. S., De Wit, L. M., & Bouvy, P. F. (2010, march 11). overweight, obesity and depression; a systematic review and meta analysis of longitudinal studies. archives of general psychiatry 67, pp. 12-14.
[27] Darwish , L., Beroncal, E., Sison, M. V., & Swardfager, W. (2018). depression in people with 2 diabetes. diabetes, metabolic syndrome and obesity: targets and therapy, 333.
[28] Kim, H. J., An, S.-Y., Han, S. J., Kim, D. J., Hong, C. H., Kim, Y. H., & Shin, D. H. (2019). the association of diabetes duration and glycemic control with depression in elderly men with type 2 diabetes mellitus. journal of research in medical sciences, 24.
[29] Ll Berge, T. R. (2012). risk of depression in diabetes is highest for young persons using oral anti-diabetic agents. diabetic medicine, 509-514.
[30] Poongothai, S., Anjana, R. M., Pradeepa, R., & Ganesan, A. (2011). association of depression with complications of type 2 diabetes-the chennai urban rural epidemiology study. journal of association of physiciansof india, 12.
[31] Schnittker, J. (2005). chronic illness and depressive symptoms in late life. social science and medicine, 13-23.
How to cite this paper
@article{1709774,
author = {Dorcas Muia, Joseph Thigiti, Osborn Tembu},
title = {Glycemic Control and Depression Among Adults with Type 2 Diabetes Mellitus in Kiambu County},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {1},
pages = {1123-1133},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709774.pdf},
abstract = {Introduction: Diabetes mellitus has been described as one of the 21st century global health emergencies. DM is among the four non communicable diseases causing 4M deaths annually (WHO, 2017). Glycemic control is measured by use of HbA1c. HbA1c measures glycemic control over the last eight to twelve weeks (WHO 2011). Good glycemic control has been shown to reduce both macro-vascular and micro-vascular complications. Depression is a mental illness characterized by feeling of sadness and loss of interest. It has an impact on how one feels, thinks and acts. It may affect one?s day to day activities and quality of life. As per the DSM-5, depression is attributed by one or two of: -diminished or irritable mood or reduced pleasure or interest plus 4 of: loss of energy or fatigue, guilt or feeling of worthlessness, problems concentrating, suicidal ideations, five percent weight gain or loss, change in activity, lack of or increased sleep. These symptoms should have lasted for at least two weeks. Depression can be either mild, moderate or severe. Chronic medical conditions are a risk factor for development of depression. There is bidirectional association between DM and depression. Depression may lead to complications of excessive weight-gain and obesity which are risk factors for T2DM. The study helped in establishing the relationship between glycemic control and depression for optimum patient care
Study Objective: To determine the relationship between glycemic control and development of depression among type 2 diabetes patients in Kiambu county.
Methodology: Multistage sampling method was used to select 1 level 5 facility and 4 level 4 facilities. Simple random sampling was used to recruit 384 participants for this study. The participants signed an informed consent before participating in the study. An interviewer-administered questionnaire was used to collect data.
Results: A total of 380 patients participated in the study. Majority were elderly >60 years. Being widowed (52.8%) or divorced (55.9%) led to higher HbA1c and depression. Having a tertiary education level was associated with higher HbA1c level. Being unemployed, smoking, alcohol intake and obesity were all linked to higher HbA1c level and depression. Respondents who were on both OHAS and insulin and were non-compliant were more likely to have higher HbA1c levels and depression. Participants who had DM-related complications were more likely to have higher HbA1c level and depression. Age >60 years, being female, presence of another chronic illness and family history of mental illness were all linked to depression. Participants who had HbA1c >7% were significantly linked to higher chances of depression in this study.
Conclusion:
From the study, 55.3% had good glycemic control (HbA1c level <7%) while 44.7% had poor glycemic control (HbA1c >7%). The proportion of T2DM patients who had depression were 13% with majority having mild depression (11%). Moderate depression was present in 1% and severe depression was present in 1% of study population. Participants who had HbA1c >7% were significantly linked to higher chances of depression in this study.},
month = {July},
}