Download PDF

Prevalence of Depression and Associated Factors among Adult Patients with Diabetes Mellitus Attending Diabetic Clinic at Kampala International University Teaching Hospital

Emmanuel Gutaka l1, Martin Odoki 2, Isaac Edyedu 3, Rogers Muland 5 and *Emmanuel Ifeanyi Obeagu5

1Kampala International University Teaching Hospital and research (KIU-THR), P.O Box 71, Bushenyi, Uganda.

2Department of Microbiology, Kampala International University Western Campus (KIU-WC), P.O Box 71, Bushenyi, Uganda.

3Department of Surgery, Kampala International University Teaching Hospital and research (KIU-THR) , P.O Box 71, Bushenyi, Uganda.

4Department of Psychiatry, kampala International University Teaching Hospital and research(KIU-THR), P.O.Box 71,Bushenyi, Uganda.

5Department of medical laboratory Science, Kampala International University,Uganda.

*Corresponding author: emmanuelobeagu@yahoo.com, obeagu.emmanuel@kiu.ac.ug ORCID:  0000-0002-4538-0161

ABSTRACT

Diabetes and depression regularly co-occur, but only about two-thirds of patients with both diseases receive recognition and treatment for it. The purpose of this study was to determine the prevalence of depression and associated factors among adult patients with diabetes attending diabetic clinic at Kampala International University Teaching Hospital. The prevalence of depression among diabetes mellitus patients attending diabetic clinic at Kampala International University Teaching Hospital.  was found to be 26.6%.  Gender, age bracket, area of Residence, level of education and marital status were statistically significantly associated with depression among diabetes mellitus patients attending diabetic Clinic at Kampala International University Teaching Hospital. in the model at 5% level. Females were 3times more likely to develop depression compared to the males (OR=3.29: 95%CI, 0.84–6.58: P=0.052).  Patients in the age bracket 31-39 years were 5times more likely to develop depression compared to those in age bracket 18-30 years (OR=5.73: 95%CI, 2.31-28.4: P=<0.001).  Patients who lived in urban areas were 5times more likely to develop depression compared to those who lived in rural areas (OR=2.61: 95%CI, 0.77–8.85: P=0.04).  Patients who were widows were 5times more likely to develop depression compared to those who were single (OR=5.09: 95%CI, 0.87–12.30: P=<0.001). Patients with primary levels of education were 6times more likely to develop depression compared to those who attained secondary level of education (OR=6.98: 95%CI, 2.01–14.37: P=0.001). The prevalence of depressive illness in patients with DM is high and is associated with low education level, period with diabetes, Sugar levels well controlled, chronic illness other than diabetes, number of chronic illness and mode of medication for diabetes history of being in the intensive phase of DM treatment and family history of depressive illness.

Keywords: Prevalence, depression, associated factors, diabetes mellitus

 INTRODUCTION

Diabetes has long been stigmatized as a “disease of the rich,” primarily affecting the elderly in affluent nations [1-4]. However, diabetes now affects all social classes and is a rapidly expanding issue in underprivileged areas [5-6]. Diabetes and depression regularly co-occur, but only about two-thirds of patients with both diseases receive recognition and treatment for it [7-11]. It is critical to note that the under diagnosis of depression in diabetes patients is concerning, as two thirds to three quarters of these individuals are not receiving any therapy from primary care doctors [12-16]. One explanation is that psychiatric illnesses are routinely undertreated, both by patients and by medical personnel, which results in inadequate care [4]. Diabetes and depression place a significant financial and future public health burden on health budgets [5]. When a patient has depression, they are less likely to take their medications as prescribed and practice self-care, which eventually results in diabetic complications that may be very expensive for both the patient and the healthcare system [17-22]. Both depression and diabetes are associated with morbidity and mortality, and when these two diseases coincide, the risk for developing comorbidities, poor blood glucose control, complications and complaints, and cost of the disease increase [23-26]. Both diabetes and depression are linked to morbidity and mortality, and when these two conditions coexist, there is an increased risk of comorbidities, poor blood glucose control, complications and complaints, as well as higher medical costs [27-31]. The mortality risk of depressed patients with diabetes was 1.5 times greater than that of non-depressed individuals with diabetes, according to a meta-analysis that pooled the findings from 10 research [8]. Numerous research have been conducted about depression in diabetic patients across Africa, but most of them have taken place in affluent nations, and there is little information available in underdeveloped nations, including Uganda, where Kampala International University Teaching Hospital is located. Furthermore, the causes of depression in diabetic patients in our situation are not well understood.

MATERIALS AND METHODS

Study design, duration, and site

The study was a cross-sectional descriptive study conducted at Kampala International University Teaching Hospital Bushenyi-Ishaka Municipality, Bushenyi District. along Mbarara-Kasese Road in western Uganda with seasonal climate  Bushenyi district is about 360 km from Kampala city. It is bordered by Mitooma and Ntungamo districts in the south, Sheema in the east, Buhweju in the north and Rubirizi in the west. The collection of data was quantitative to establish the opinions of the respondents about the study problem under investigation.

Inclusion criteria

Adult patients aged 18years and older with diabetes mellitus attending the diabetic clinic at Kampala International University Teaching  Hospital.

Exclusion criteria

  • Patients with diabetes mellitus above 18 years attending Kampala International University Teaching Hospital diabetic clinic with speech and hearing impairments.
  • Patients with diabetes mellitus having a medical emergency such as hyper-or hypoglycemia or diabetic ketoacidosis at the time of data collection.

Data collection procedure

Potential participants will be identified by review of their medical records on the clinic day. Then written informed consent will be obtained from each participant prior to administering the study questionnaire. Data will be collected by the use of questionnaire and writing materials like pens, papers. The data collection process will be performed in a period of three Months. The data for the study will be collected by use of researcher-administered questionnaires based on associated factors and Beck depression index (BDI). The study questionnaire will have sections that will collect participant socio-demographic and clinical characteristics as well as Beck Depression Index (BDI) to evaluate depression symptoms.

BDI was developed by Aron T. Beck. In BDI there are 21 questions and 4 answers to choose, and each question is graded from 0 – 3. The total points are calculated and assigned ranging;

1-10— Normal

11-16—Mild mood disturbance

17-20—Borderline clinical depression

21-30—Moderate depression

 31-40—Severe depression

over 40—Extreme depression

Data management

Editing: This involved checking the questionnaire for completeness and improperly filled questionnaires will be sorted. Complete filled questionnaires were kept in the cupboard for safety and confidentiality and were later taken for analysis.

Coding: All questions in the questionnaire were coded for easy analysis and help in reducing data into manageable proportions.

Data analysis

Data will be collected, tallied and grouped in form of tables and pie charts as found applicable and appropriate. Scientific software Statistical Products and Service Solution (SPSS) will be used to analyze the data. The prevalence of depression will be determined as a proportion of participants who will score above 20 according to the BDI. The associated socio-demographic and clinical factors will be determined using univariate and multivariate logistic regression for since depression is a dichotomous outcome. The measure of association will be odds ratio and 5% statistical significance and 95% confidence intervals will be considered.

Ethical consideration

Ethical approval was obtained from Research Ethical Committee (REC) of Kampala International University Western Campus and Kampala International University Teaching Hospital, Ishaka. Informed consents were obtained from the subjects before collecting the data. The study was carried out following the Declaration of Helsinki.

 RESULTS

Table 1 shows that the majority of the participants were female with 55.3% (193/349) and the remaining were male with 44.7 (156/349). The median age of the patients was 33 years and it ranged from a minimum of 18 years to a maximum of 70 years. Majority of the respondents belonged to the age group of 40-49 years while the least belonged to the age group of 18 – 30 years. Of the 349 patients with diabetes mellitus, 93(26.6%) were found with the problem of depression while 256(73.4%) patients did not have depression. Majority 193(55.3%) were living in urban areas while the least156 (44.7%) were living in rural areas. Majority 189(54.1%) were married while the least 24(6.9%) were widowed. Majority 37(25.7%) were employed while the least 7(4.9%) were peasant. Most 114(32.7%) were Catholics while the least 49(14.0%) were Muslims. Most 101(28.9%) of the respondents secondary level of education while the least 71(20.3%) attained tertiary level of education. The prevalence of depression among diabetes mellitus patients attending diabetic clinic at Kampala International University Teaching  Hospital.  was found to be 26.6%. Figure 1 shows Gender, age bracket, area of Residence, level of education and marital status were statistically significantly associated with depression among diabetes mellitus patients attending diabetic Clinic at Kampala International University Teaching  Hospital. in the model at 5% level. Females were 3times more likely to develop depression compared to the males (OR=3.29: 95%CI, 0.84–6.58: P=0.052). Patients in the age bracket 31-39 years were 5times more likely to develop depression compared to those in age bracket 18-30 years(OR=5.73: 95%CI, 2.31-28.4: P=<0.001). Patients who lived in urban areas were 5times more likely to develop depression compared to those who lived in rural areas (OR=2.61: 95%CI, 0.77–8.85: P=0.04). Patients who were widows were 5times more likely to develop depression compared to those who were single (OR=5.09: 95%CI, 0.87–12.30: P=<0.001).  Patients with primary levels of education were 6times more likely to develop depression compared to those who attained secondary level of education (OR=6.98: 95%CI, 2.01–14.37: P=0.001).

Table 2 shows demographic factors associated with depression among diabetes mellitus patients in diabetic clinic

Period with diabetes, Sugar levels well controlled, chronic illness other than diabetes, number of chronic illness and mode of medication for diabetes were found to be statistically significantly associated with depression among diabetes mellitus patients attending diabetic Clinic, Kampala International University Teaching  Hospital in the model at 5% level. Patients who had less than six months period with diabetes  were 4times more likely to develop depression compared to those who had more than five years (OR=4.69: 95%CI, 2.17–9.34: P=0.001). Patients who had hand not well controlled their sugar levels were 3 times more likely to develop depression as compared to those who had controlled their sugar levels.  Patients who had chronic illness other than diabetes were 3 times more likely to develop depression compared to those with no history of chronic illnesses (OR=3.66: 95%CI, 0.24–11.33: P=0.001). Patients who had more than three number of chronic illness were 4 times more likely to develop depression compared to those who did not (OR=24.75: 95%CI, 1.86–18.72: P=0.001). Patients who had insulin injections as the mode of medication for diabetes were 3 times more likely to develop depression compared to those who were using both (OR=3.81: 95%CI, 0.57–15.01: P=0.001). The above findings were in with the study findings by Bădescu, et al., (2016) who revealed that insulin injection mode of medication. Table 3 shows the clinical factors associated with depression among diabetes mellitus patients attending diabetic clinic at Kampala International University Teaching  Hospital.

RESULTS

Table 1: Demographic data of respondents

Variable Frequency (n=349) Percentage (%)
Gender
Male 156 44.7
Female 193 55.3
Age bracket
18-30        19 5.4
31-39         109 31.2
40-49         123 35.3
>50        98 28.1
Area of Residence    
Urban 193 55.3
Rural 156 44.7
Marital status
Separated 56 16.0
Married 189 54.1
Single 80 22.9
Widowed 24 6.9
Occupation
Employed 121 34.7
Housewife 73 20.9
Self employed 92 26.3
Peasant 63 18.1
Religion    
Anglican 108 30.9
Catholics 114 32.7
Moslems 49 14.0
other religion 78 22.4
Level of education
Primary 98 28.1
Secondary 101 28.9
Tertiary 71 20.3
None 79 22.7

Table 2: shows demographic factors associated with depression among diabetes mellitus patients in diabetic clinic

Variable Depression status OR (95% CI) P-Values
  Depressed

n=93 

Normal

n=256 

Gender
Male 39(25%) 117(75%) ref
Female 54(28%) 139(72%) 3.29 (0.84–6.58) 0.052
Age bracket
18-30        06(31.6%) 13(68.4%) ref
31-39         51(46.8%) 58(53.2%) 5.73(2.31-28.4) <0.001
40-49         26(21.1%) 97(78.9%) 1.98(0.27-13.6) 0.071
>50        10(10.2%) 88(89.8%) 1.50(0.19-11.45) 0.096
Area of Residence        
Urban 41(21.2%) 152(78.8%) ref
Rural 52(33.3%) 104(66.7%) 2.61 (0.77–8.85) 0.04
Marital status
Separated 21(22.6%) 35(77.4%) 3.29 (1.94–5.57) 0.055
Married 25(13.2%) 164(86.8%) 1.47 (0.86–2.53) 0.620
Single 36(45%) 44(55%) ref
Widowed 11(45.8%) 13(54.2%) 5.09(0.87–12.30) <0.001
Occupation
Employed 13(10.7%) 108(89.3%) 4.36(3.18-29.63) 0.671
Housewife 19(26.0%) 54(74.0%) 1.33(0.15-6.46) 0.023
Self employed 15(16.3%) 77(83.7%) ref
Peasant 12(19.0%) 51(81.0%) 1.36(0.23-0.73) 0.931
Religion        
Anglican 38(35.2%) 70(64.8%) 5.88(169-13.36) 0.063
Catholics 35(32.1%) 79(67.9%) ref
Moslems 9(18.4%) 40(81.6%) 1.24(1.76-1.95) 0.012
other religion 10(12.8%) 68(87.2%) 0.28(1.69-1.36) 0.670
Level of education
Primary 37(37.8%) 61(62.2%) 6.98 (2.01–14.37) 0.001
Secondary 17(16.8%) 84(83.2%) ref
Tertiary 14(19.7%) 57(80.3%) 1.87 (0.82–1.78) 0.373
None 13(16.5%) 66(83.5%) 1.14(1.06-1.38) 0.042

Table 3 shows the clinical factors associated with depression among diabetes mellitus patients attending diabetic clinic at Kampala International University Teaching  Hospital

Variable Depression status OR (95% CI) P-Values
  Depressed

n=93 

Normal

n=256 

Period with diabetes
Less than six months 26(35.6%) 47(64.4%) 4.69 (2.17–9.34) 0.001
Six months to one year 21(26.9%) 57(73.1%) 1.03 (0.83–2.28) 0.027
One to five years 29(24.6%) 89(75.4%) 2.51 (1.55–8.06) 0.031
More than five years 17(21.3%) 63(78.8%) Ref
Sugar levels well controlled
Yes 54(23.2%) 179(76.8%) ref
No 39(33.6%) 77(66.4%) 3.93(0.55–12.43) 0.001
Chronic illness other than diabetes        
Yes 31(30.4%) 71(69.6%) 3.66(0.24–11.33) 0.001
No 62(25.1%) 185(74.9%) ref
Number of chronic illness
1 04(100%) 0(0%) 1
2 01(20%) 4(80%) ref
3 5(38.5%) 8(61.5%) 1.37 (0.89–2.45) 0.012
More than three 04(44.4%) 05(55.6%) 4.53 (1.86–18.72) 0.001
Mode of medication for diabetes
Oral tablets 13(11.7%) 98(88.3%) 0.97(0.65–1.35) 0.030
Insulin injections 66(38.6%) 105(61.4%) 3.81(0.57–15.01) 0.001
1 and 2 14(21.5%) 51(78.5%) Ref

 DISCUSSION

The prevalence of depression among Diabetes mellitus patients attending diabetic Clinic, Kampala International University Teaching Hospital was found to be 26.6%.  This prevalence is slightly higher than that of a retrospective study by Arabia which showed a prevalence of 20.68% in Makkah city and lower than that in Jeddah city (34%)  which showed that there was a high prevalence of 26.6% depression among people with diabetes mellitus in Arab. In contrast with this study, a study done in a rural community clinic in Mulago Uganda, reported a higher prevalence of depression which was at 23.7%.  Patients in the age bracket 31-39 years were 5times more likely to develop depression compared to those in age bracket 18-30 years (P=<0.001). These findings were in with findings from a study by Wexler et al. [9] and Zhao et al. [10] which revealed that the younger age group are more likely to suffer from co-morbid depression as compared to males. Patients who lived in urban areas were 5times more likely to develop depression compared to those who lived in rural areas (P=0.04). Patients with primary levels of education were 6times more likely to develop depression compared to those who attained secondary level of education (P=0.001). In this study, patients who had less than six months period with diabetes  were 4times more likely to develop depression compared to those who had more than five years (P=0.001). This was in line with the study findings in a prospective representative study of patients with type 2 diabetes which revealed that depression predicted problems with medication adherence, and unsatisfactory glycemic control [11].  Patients who had not well controlled their sugar levels were 3 times more likely to develop depression as compared to those who had controlled their sugar levels.

Patients who had chronic illness other than diabetes were 3 times more likely to develop depression compared to those with no history of chronic illnesses (P=0.001). The study findings are in line with findings of the study by Dahal et al. [12] on prevalence and Predictors of Depression among Diabetes Mellitus in Adult Population which revealed that patients with chronic illnesses were more likely to develop depression compared to those with no history of chronic illnesses.  Patients who had more than three number of chronic illness were 4 times more likely to develop depression compared to those who did not (P=0.001). Patients who had insulin injections as the mode of medication for diabetes were 3 times more likely to develop depression compared to those who were using both (P=0.001). The above findings are in agreement with the findings of Almawi, et al.[13] on association of comorbid depression, anxiety, and stress disorders with Type 2 diabetes in Bahrain, a country with a very high prevalence of Type 2 diabetes which revealed that diabetic patients who use insulin injections as the mode of medication for diabetes were more likely to develop depression compared to those who use other methods [14-20].

CONCLUSION

The prevalence of depressive illness in patients with DM is high and is associated with low education level, period with diabetes, Sugar levels well controlled, chronic illness other than diabetes, number of chronic illness and mode of medication for diabetes history of being in the intensive phase of DM treatment and family history of depressive illness.

RECOMMENDATIONS

Mental illnesses like depression should be routinely screened and managed among patients with chronic physical illnesses like DM. This can be achieved through regular training of hospital staff about common mental illnesses like depression to enable them screen for these disorders and manage the minor cases but refer the severe ones.

Declarations

Ethical Approval

Ethical approval was obtained from Research Ethica Committee (REC) of Kampala International University Western Campus and Kampala International University Teaching Hospital, Ishaka. Informed consents were obtained from the subjects before collecting the data.

  Competing of Interests

The authors promulgate that they have no conflicts of interest about the publication of this article.

Authors’ contributions

GE conceptualized the study and participated in data collection. EIO guided and contributed to study design and analysis, MR contributed to data analysis, and OM oversaw the overall running of the study from start to finish and wrote the final manuscript.  All authors read and approved the final version of the manuscript.

Funding

No fund was received from anyone.

Availability of data and materials

The data and materials are will be made available after publishing the paper.

Acknowledgment

The authors appreciates all the colleagues in the University and research assistants who helped in one way or the other to ensure the success of this work.

REFERENCES

  1. Dunachie S, Chamnan P. (2019). The double burden of diabetes and global infection in low and middle- income countries. 2018, 56–64. https://doi.org/10.1093/trstmh/try124
  2. Pahari DP, Upadhyay R, Sharma CK. Depression among diabetic patients visiting a diabetes center in Nepal.  2018; 2–6.
  3. Leone T, Coast E, Narayanan S, de Graft Aikins A. Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): a mapping of the evidence. Globalization and Health. 2012; https://doi.org/10.1186/1744-8603-8-39
  4. Chen B, Zhang X, Xu X, Lv X, Yao L, Huang X, Guo X, Liu B, Li Q, Cui C. Diabetes education improves depressive state in newly diagnosed patients with type 2 diabetes. Pakistan Journal of Medical Sciences. 2013; https://doi.org/10.12669/pjms.295.3573
  5. Zhuang Q, Shen L, Ji H. Quantitative assessment of the bidirectional relationships between diabetes and depression. 2017; 8(14), 23389–23400
  6. Sedighi M, Asad J, Mokhtari Z. The Prevalence of Comorbid Depression in Patients with Diabetes : A Meta- Analysis of Observational Studies Diabetes & Metabolic Syndrome : Clinical Research & Reviews The prevalence of comorbid depression in patients with diabetes : A meta-analysis of observational studies. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2019; 13(6),3113–3119. https://doi.org/10.1016/j.dsx.2019.11.003
  7. Tovilla-Zárate C, Juárez-Rojop I, Jimenez Y, Jiménez MA, Vázquez S, Bermúdez-Ocaña D, Ramón-Frías T, Mendoza AD, García SP, Narváez LL. Prevalence of anxiety and depression among outpatients with type 2 diabetes in the mexican population. PLoS ONE, 2012; 7(5). https://doi.org/10.1371/journal.pone.0036887
  8. Park NR, Katon WJ, Wolf Depression and risk of mortality in individuals with diabetes : a meta-analysis and systematic review. General Hospital Psychiatry, 2013; 35(3),217–225. https://doi.org/10.1016/j.genhosppsych.2013.01.006
  9. Wexler DJ, Porneala B, Chang Y, Huang ES, Huffman JC, Grant RW. Diabetes differentially affects depression and self-rated health byage in the U.S. Diabetes Care, 2012;35(7),1575–1577. https://doi.org/10.2337/dc11-2266
  10. Zhao W, Chen Y, Lin M, Sigal RJ. Association between diabetes and depression: Sex and age differences. Public Health, 2006; 120(8),696–704. https://doi.org/10.1016/j.puhe.2006.04.012
  11. Dirmaier J, Watzke B, Koch U, Schulz H, Lehnert H, Pieper L, Wittchen HU. Diabetes in primary care: Prospective associations between depression, nonadherence and glycemic control. Psychotherapy and Psychosomatics, 2010; 79(3), 172–178. https://doi.org/10.1159/000296135
  12. Dahal P, Balamurugan G, Basavaraja A. Prevalence and Predictors of Depression among Diabetes Mellitus in Adult Population. Journal of Psychiatry, 2017; 20(6). https://doi.org/10.4172/2378-5756.1000430
  13. Almawi W, Tamim H, Al-Sayed N, Arekat MR, Al-Khateeb GM, Baqer A, Tutanji H, Kamel C. Association of comorbid depression, anxiety, and stress disorders with Type 2 diabetes in Bahrain, a country with a very high prevalence of Type 2 diabetes. Journal of Endocrinological Investigation. 2008; https://doi.org/10.1007/BF03345642
  14. Obeagu EI, Obeagu GU. Utilization of Antioxidants in the management of diabetes mellitus patients. J Diabetes Clin Prac. 2018;1(102):2.
  15. Obeagu EI, Okoroiwu IL, Obeagu GU. Some haematological variables in insulin dependent diabetes mellitus patients in Imo state Nigeria. Int. J. Curr. Res. Chem. Pharm. Sci. 2016;3(4):110-7.
  16. Ugwu OP, Alum EU, Okon MB, Aja PM, Obeagu EI, Onyeneke EC. Ethanol root extract and fractions of Sphenocentrum jollyanum abrogate hyperglycaemia and low body weight in streptozotocin-induced diabetic Wistar albino rats. RPS Pharmacy and Pharmacology Reports. 2023;2(2): rqad010.
  17. Nwakuilite A, Nwanjo HU, Nwosu DC, Obeagu EI. Evaluation of some trace elements in streptozocin induced diabetic rats treated with Moringa oleifera leaf powder. WJPMR. 2020;6(12):15-8.
  18. Anyiam AF, Obeagu EI, Obi E, Omosigho PO, Irondi EA, Arinze-Anyiam OC, Asiyah MK. ABO blood groups and gestational diabetes among pregnant women attending University of Ilorin Teaching Hospital, Kwara State, Nigeria. International Journal of Research and Reports in Hematology. 2022;5(2):113-21.
  19. Okafor CJ, Yusuf SA, Mahmoud SA, Salum SS, Vargas SC, Mathew AE, Obeagu EI, Shaib HK, Iddi HA, Moh’d MS, Abdulrahman WS. Effect of Gender and Risk Factors in Complications of Type 2 Diabetic Mellitus among Patients Attending Diabetic Clinic in Mnazi Mmoja Hospital, Zanzibar. Journal of Pharmaceutical Research International. 2021 May 25;33(29B):67-78.
  20. Galano ES, Yusuf SA, Ogbonnia SO, Ogundahunsi OA, Obeagu EI, Chukwuani U, Okafor CJ, Obianagha NF. Effect of Extracts of Kigelia Africana Fruit and Sorghum Bicolor Stalk on the Biochemical Parameters of Alloxan-Induced Diabetic Rats. Journal of Pharmaceutical Research International. 2021;33(25B):86-97.
  21. Ugwu Okechukwu, P. C., Nwodo Okwesili, F. C., Joshua Parker, E., Odo Christian, E., & Ossai Emmanuel, C. (2013). Effect of ethanol leaf extract of Moringa oleifera on lipid profile of mice. Research Journal of Pharmaceutical, Biological and Chemical Sciences4(1), 1324-1332.
  22. Enechi, O. C., Manyawo, L., & Ugwu, P. O. (2013). Effect of ethanol seed extract of Buccholzia coriacea (wonderful kola) on the lipid profile of albino rats. African Journal of Biotechnology12(32).
  23. Ugwu Okechukwu, P. C., Onwe, S. C., & Okon, M. B. (2022). The effect of Methanol Extract of Rauwolfia vomitoria on Lipid Profile of Chloroform intoxicated Wistar Albino Rats. IAA Journal of ScientificResearch,8(1),73-82.
  24. Aja, P. M., Ibekwe, V. I., Ekpono, E. U., Ugwu, P. C., & Okechukwu, P. C. (2015). Effect of ethanol extract of Cajanus cajan leaf on plasma lipid level in albino rats. Inter J Cur Res Acad Rev3(1), 161-167.
  25. Ugwu Okechukwu PC, and Amasiorah, V. I. (2020). The effects of crude ethanol root extract and fractions of sphenocentrum jollyanum on the lipid profile of streptozotocin-induced diabetic wistar albino rats. IDOSR Journal of Biology, Chemistry And Pharmacy5(1), 36-46.
  26. Anaduaka, E. G., Egba, S. I., Ugwu, J. U., Apeh, V. O., and Ugwu, O. P. C. (2014). Effects of dietary tyrosine on serum cholesterol fractions in rats. Afr J Biochem Res8(5), 95e100.
  27. Eze-Steven, P. E., Udeozo, I. P., Chidiebere, E. U., Emmanuel, O., Okechukwu, P. U., & Egba, J. J. (2014). Anti-Lipidemic Effects of Desmodium velutinum Water Leaf Exract on Albino Wistar Rats Fed with High Fat Diet. American-Eurasian Journal of Scientific Research9(2), 26-30.
  28. Ezekwe, C. I., Okorie, A., PC, U. O., OFC, N., & SC, E. (2014). Blood Pressure Lowering Effect of Extract of Gongronema latifolium. Research Journal of Pharmaceutical, Biological and Chemical Sciences5(2), 952-959.
  29. Aja, P. M., Igwenyi, I. O., Okechukwu, P. U., Orji, O. U., & Alum, E. U. (2015). Evaluation of anti-diabetic effect and liver function indices of ethanol extracts of Moringa oleifera and Cajanus cajan leaves in alloxan induced diabetic albino rats. Global Veterinaria14(3), 439-447.
  30. Enechi, O. C., Oluka, I. H., Ugwu, O. P., & Omeh, Y. S. (2013). Effect of ethanol leaf extract of Alstonia boonei on the lipid profile of alloxan induced diabetic rats. World Journal Of Pharmacy and Pharmaceutical Sciences2(3), 782-795.
  31. Ude C.M. and T.J. Iornenge M.C. Udeh Sylvester, O.F.C. Nwodo, O.E. Yakubu, E.J. Parker, S. Egba, E. Anaduaka, V.S. Tatah, O.P. Ugwu, E.M. Ale (2022). Effects of Methanol Extract of Gongronema latifolium Leaves on Glycaemic Responses to Carbohydrate Diets in Streptozotocin-induced Diabetic Rats. Journal of Biological Sciences, 22.70-79. https://ascidatabase.com/.

CITE AS: Emmanuel Gutaka l., Martin Odoki, Isaac Edyedu, Rogers Muland and  Emmanuel Ifeanyi Obeagu (2023). Prevalence of Depression and Associated Factors among Adult Patients with Diabetes Mellitus Attending Diabetic Clinic at Kampala International University Teaching Hospital. IAA Journal of Biological Sciences 10(3):42-52. https://doi.org/10.59298/IAAJB/2023/1.5.1000

Download PDF