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. 2015 Dec;15(4):1136–1141. doi: 10.4314/ahs.v15i4.12

Burden and pattern of micro vascular complications in type 2 diabetes in a tertiary health institution in Nigeria

Michael Olamoyegun 1, Waheed Ibraheem 2, Sandra Iwuala 3, Morenike Audu 4, Babatope Kolawole 5
PMCID: PMC4765393  PMID: 26958014

Abstract

Introduction

Diabetes mellitus (DM) afflicts at least 5 million people in Nigeria, with more than 80% having type 2 diabetes mellitus (T2DM). Microvascular complications increase both morbidity and mortality inpatients with T2DM. The aims of this study were to report the burden of various microvascular complications in T2DM and to identify various factors associated with these complications in patients with T2DM attending the diabetes outpatients' clinic.

Methods

Ninety (90) patients with T2DM who have attended diabetes clinic for at least 3 months were recruited for this study. Detailed history, physical examination and biochemical analysis was done in each of the patients. All patients underwent a detailed standard evaluation to detect diabetic retinopathy (fundoscopy), neuropathy (10g monofilament and/or diabetes neuropathy scores), and nephropathy (microalbuminuria, macroalbuminuria, serum creatinine and estimated glomerular filtration rate).

Results

There was high prevalence of microvascular complications among patients with T2DM. Almost half of patients with T2DM had some form of microvascular complications; diabetic neuropathy being the commonest (69.6%),followed by nephropathy (54.5%) and retinopathy (48.9%). The factors associated with developing these complications were increasing age, duration of diabetes, hypertension and dyslipidaemia for nephropathy and neuropathy.

Conclusion

There is a high burden of microvascular complications in patients with type 2 diabetes. Age, male gender, hypertension, glycaemic control, BMI and duration of diabetes, and glycaemic control were factors associated with microvasular complications.

Keywords: Type 2 diabetes, microvascular complications, prevalence, risk factors, Nigeria

Background

Diabetes mellitus (DM) has emerged as one of the most common chronic disorders with an estimated global prevalence of 366 million in 2011 and projected to increase to 551 million in 20301. The estimated prevalence of DM in sub-Saharan Africa is about 1% in rural areas, and 5–7% in urban areas, and between 8% and 13% in countries like Uganda and South Africa24. In Nigeria, the national prevalence of DM is 2.2%5 with a higher prevalence in the urban than in the rural communities. However, studies from different parts of the countries have recorded rates of between 1% and 8%610. Morbidity and mortality in patients with type 2 diabetes mellitus (T2DM) is mainly attributed to the development of both microvascular and macrovascular complications. These microvascular complications include nephropathy, retinopathy and neuropathy. Hence, the increasing prevalence of T2DM will be followed by an epidemic of diabetes related cardiovascular disease (CVD) especially microvascular complications. Identifying contributing factors of these diabetes complications makes it possible to control these complications and can lead to significant reduction in morbidity, mortality and health care cost.

Diabetic nephropathy is an increasingly common cause of end stage renal disease (ESRD) in many countries including Nigeria11; the prevalence of nephropathy in Nigerian patients with T2DM rose from 7% in 1963 to 56.5% in 19991214. The earliest clinical evidence of nephropathy is occurrence of microalbuminuria (30–300mg/day), and its presence has been shown to be associated with increased risk of cardiovascular morbidity and mortality in T2DM patients15,16. DM retinopathy on the other hand is the most common microvascular complications in diabetes and it may lead to blindness ultimately17. It may manifest as retinopathy lesions as microaneurysm, haemorrhage, cotton wool spots, hard exudates18. Presence of retinopathy, apart from increasing risk of vision loss, also increased cardiovascular disease by 2–3 folds19. Hence, this study aimed at identifying prevalence and risk factors influencing predisposition to microvascular complications in type 2 diabetic patients.

Methods

This cross - sectional study was conducted at LAUTECH Teaching Hospital, Ogbomoso. A convenient sample of ninety-two patients with T2DM aged 40 years and above were consecutively recruited from the diabetic clinic between January and May, 2013. Inclusion criteria was known patients with type 2 diabetes who had been attending the diabetes clinic for at least 3 months and willing patients. Exclusion criteria included patients with type 1 DM and pregnant women.

Patients provided written informed consent. The study was approved by the local ethical committee and conducted in accordance with the principles described in the declaration of Helsinki.

An interviewer administered questionnaire was used to collect data on the following variables from the patients: age, gender, duration of diabetes, body weight (kg), height (m), waist and hip circumferences (cm), systolic (SBP), and diastolic blood pressure (DBP), fasting plasma glucose(FPG), total cholesterol (TC), high density lipoprotein cholesterol(HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides(TG).

Patients' weight and height were measured to the nearest 0.1kg and 0.1cm with a standardised stadiometer and weighing scale, respectively20. BMI was calculated as weight divided by height squared (kg/m2). Waist circumference (WC) was recorded as the smallest girth between the rib cage and the iliac crest21. SBP and DBP were measured in the Patients after a 5-minute rest using digital sphygmomanometer (Omron). Hypertension was defined as the need for antihypertensive therapy or untreated patients with SBP≥140mmHg and/or DBP≥90mmHg22.

The Patients were evaluated for the presence of any these microvascular complications i.e. retinopathy, nephropathy and neuropathy, either alone or in combination. Ophthalmoscopic examination was performed by an experienced ophthalmologist by fundoscopy and direct ophthalmoscopy. Retinopathy was diagnosed by the presence of any of the following lesions: microaneurysm, blot or flame-shaped haemorrhage, hard exudates, cotton wool spots or macula oedema23. Nephropathy was diagnosed when serum creatinine was> 150microgram/dl, estimated glomerular filtration rate (eGFR) is < 60ml/min, and/or presence of proteinuria or microalbuminuria24. Neuropathy was diagnosed by history of numbness, parasthesia, tingling sensation, loss of ankle reflex or loss of light touch sensation using 10-gram monofilament25.

Blood sample was taken for biochemical parameters after an overnight fast of 8–14hours. This was used for fasting plasma glucose (FPG) estimation by a glucose oxidase method26. Total cholesterol (TC), HDL-C and triglycerides by enzymatic methods, and LDL-C were calculated by using Friedwald equation27. Patients with untreated total cholesterol> 5.0mmol/l, TG > 1.7mmol/l and/or HDL-C <1.01mmol/l (in males) and <1.29mmol/l (in females) were considered to have dyslipidaemia28. Glycated haemoglobin (HbA1c) was tested by in2it®. Data was expressed as means ± SD. Statistical analysis was performed using SPSS (version 17.0 Chicago, SPSS Inc.). A Student's t-test for unpaired sample was used to compare means with standard deviations (SD), and a Chi-square to compare proportions. Statistical significance was set at p<0.05. Regression analyses were performed for finding factors associated with various complications. Logistic regression analysis was used to find out strength of association of risk factors with specific complications.

Results

The total study participants included equal number of males and females (46). The mean age of the participants 62.5 ± 8.6 years and the duration of diabetes was between 1 and 30 years, and median duration of 8 years. The demographic profile is shown in table 1.

Table 1.

Demographic and biochemical profile of study population

Parameter Mean ± SD
Age (years) 62.54 ± 8.62
LDL (mmol/L) 2.46 ± 1.02
TG (mmol/L) 0.74 ± 0.33
HDL (mmol/L) 1.10 ± 0.47
TC (mmol/L) 3.92 ± 1.23
BMI (kg/m2) 26.9 ± 4.40
TC/HDL 3.68 ±0.54
LDL/HDL 2.49 ± 1.21
DBP (mmHg) 83.1± 10.7
SBP (mmHg) 137.5± 18.3
Pulse pressure 54.3 ± 18.1
Uric acid (mg/dl) 0.33 ± 0.09
HbA1c (%) 9.76 ± 2.4
FPG (mmol/L) 10.2 ± 2.9

Retinopathy was seen in (45/92) 48.9% (higher in females than in males, although the difference was not statistically significant, p=0.235). Nephropathy was present in 54.3% (50/92), significantly higher in males than females (p=0.003). Neuropathy was present in 69.6% (64/92) participants giving a prevalence of 69.6%.

Nephropathy and neuropathy rates were significantly higher in males, (p=0.003) and (p=0.001) respectively. Patients with nephropathy and retinopathy had higher blood pressure and mean HbA1c, were older and had longer duration of diabetes (p=0.0002). Participants with neuropathy had higher BMI, longer duration of diabetes and higher LDL-C (p=0.003), as shown in table 2.

Table 2.

Clinical and biochemical profile of the subjects with and without micro vascular complications

Parameter With (51) Without (41) P-value
Age (years) 62.84 ± 8.77 62.17 ± 8.5 0.003
Weight (Kg) 70.1 ± 11.2 69.9 ± 10.5 0.020
Total Cholesterol (mmol/L) 4.1 ± 1.3 3.7 ± 1.2 0.006
HDL (mmol/L) 1.1 ± 0.5 1.09 ± 0.4 0.070
eGFR (ml/min) 53.8 ± 14.8 55.6 ± 16.0 0.020
LDL(mmol/L) 2.6 ± 1.4 2.3 ± 1.0 0.002

Further analysis of patients' shows 37% of Patients had at different microvascular combinations of varying combination and 23% had all the three microvascular complications together.

On multivariate analysis, at least one of the microangiopathies were associated with older age, as shown in table 3.

Table 3.

Logistic regression analyses of Potential Predictors of at least one micro vascular complication

Independent variable Unadjusted OR(95% CI) Adjusted OR(95% CI) p- value
Age 1.2 (1.0–1.4) 1.2(1.0–1.5) 0.032
BMI 1.0(0.8–1.3) 0.9(0.7–1.3) 0.581
Male sex 3.1(0.3–31.4) 10.8(0.6–205.6) 0.115
Systolic blood pressure 1.0(1.0–1.1) 1.0(0.9–1.1) 0.665
Diastolic blood pressure 1.0(0.9–1.1) 1.0(0.1–1.1) 0.867

Discussion

In this hospital-based study, the prevalence of different microvascular complications of diabetes was similar to figures from other populations in Africa29,30, but much higher than those reported by Kumar et al31 in India. The reason for this may be due to poor control of glycaemia among our patients; only 41% of our patients had target goal of blood sugar.

In our study, 55.4% of the patients had nephropathy. This is much higher than value obtained by Alebiosu et al34 who obtained 25%. DM nephropathy is now the leading cause of ESRD worldwide and is responsible for about 1/3 of patients who undergo dialysis12. In Nigeria, DM nephropathy as a cause of nephropathy is also high, representing 15–25%11. As previous studies 2931, have indicated, this study also found age, hypertension, and male sex as important risk factors for DM nephropathy35.

Retinopathy remains an important complication of diabetes mellitus. The prevalence of retinopathy among Nigerians with T2DM has been estimated to range between 20–56%30, which is similar to the prevalence of 48.9% obtained in this study as also from a study carried out amongst Ghanaians with T2DM. This study documented that age, male sex, duration of diabetes mellitus, hypertension and poor glycaemic control has significant association with DM retinopathy.

Diabetic peripheral neuropathy is very common in T2DM patients. We found DPN in 69.6% of the study participants, which is similar to 71.1% obtained by in other studies done in Nigeria36,37. It is a major risk factor for development of foot ulceration, and increased morbidity and mortality. However, gender, eGFR were not associated with DPN37. Other studies however, have not reported a significant relation between age and the duration of diabetes on DPN38. Diabetic neuropathy is the most common late complication of DM, and some of the consequences include pain, falls, foot ulceration, sleep impairment, depression, and impaired quality of life3941.

Also, a significant percentage of our patients did not achieve target blood pressure control of 130/80mmHg. The reason for the poor blood pressure and glycaemic control are usually multifactorial. Financial constraint, lack of regular follow up visit in the clinic and late presentation before diagnosis are some of the factors affecting diabetes management in Nigeria42. Most patients have to pay out of pocket for their medical managements including drugs purchase, blood sugar and other laboratory testing, and at a price much higher than the cost of these drugs in other parts of the world32. The WHO report estimates that 90.2% of Nigerians live below poverty level of $2 per day. Thus, accessing health care is a challenge to people living with diabetes in Nigeria. Also, the high prevalence of complications may be related to the older patients recruited in this study, compared to studies with lower prevalence of complications. Our data shows that the common risk factors for any microangiopathy is old age.

Finally, our data though hospital based revealed high frequencies of microagiopathy complications in our patients. The prevalence and risk of these microagiopathic complications are old age, duration of diabetes, poor glycaemic control, hypertension and increased body mass index among other factors. These factors if controlled will probably lead to reduction in the burden of type 2 diabetes complications.

Limitations

The strength of our study is that although the sample size was modest, the study examined the profile of all microvascular complications in Nigerian patients. Due to the paucity of studies that examines all the profile of microvascular complications together; it can serve as baseline upon which future studies can be referred. Further prospective observation study with a more robust sample size is recommended for a better result. The limitations of this study included the use of only direct ophthalmoscope in the assessment of DM retinopathy instead of retinal photography; this could have led to better detection of early retinopathy, further increasing the prevalence of retinopathy. Also, the use of biothesiometer for the detection of peripheral neuropathy would have been preferred yielding better diagnosis compared to the use of symptoms scores and microfilament. These instruments were not used for lack of availability and cost associated with the investigations.

Conflicts of interest

No potential conflict of interest relevant to this article was reported.

References

  • 1.Guariguata L, Whiting D, Weil C, Unwin N. The International Diabetes Federation diabetes atlas methodology for estimating global and national prevalence of diabetes in adults. Diabetes Res Clin Pract. 2011;94(3):322–332. doi: 10.1016/j.diabres.2011.10.040. [DOI] [PubMed] [Google Scholar]
  • 2.Rotimi C, Daniel H, Zhou J, Obisesan A, Chen G, Chen Y, et al. Prevalence and determinants of diabetic retinopathy and cataracts in West African type 2 diabetes patients. Ethn Dis. 2003;13(2 Suppl 2):S110–S117. [PubMed] [Google Scholar]
  • 3.Wild S, Roglic G, Green A, Sicree R, King H. Global Prevalence of Diabetes; Estimates for the year 2000 and projections for 2030. DiabetesCare. 2004;27:1047–1053. doi: 10.2337/diacare.27.5.1047. [DOI] [PubMed] [Google Scholar]
  • 4.Adekanle O, Ayodeji OO, Olatunde LO, Folorunso TR. A 7-year retrospective study of diabetes-related deaths in a Nigerian tertiary hospital. Diabetes. 2008;16:15–17. [Google Scholar]
  • 5.Akinkugbe OO. Non-communicable Diseases in Nigeria. Final report of a national survey; Federal ministry of Health and Social Services. 1997. [Google Scholar]
  • 6.Ohwovoriole AE, Kuti JA, Kabiawu SI. Casual blood glucose levels and prevalence of undiscovered diabetes mellitus in Lagos metropolis Nigerians. Diabetes Res Clin Pract. 1998;4(2):153–158. doi: 10.1016/s0168-8227(88)80010-x. [DOI] [PubMed] [Google Scholar]
  • 7.Dahiru T, Jibo A, Hassan AA, Mande AT. Prevalence of diabetes in a semi-urban community in Northern Nigeria. 2008;17(4):414–416. doi: 10.4314/njm.v17i4.37423. [DOI] [PubMed] [Google Scholar]
  • 8.Owoaje EE, Rotimi CN, Kaufman JS, Tracy J, Cooper RS. Prevalence of adult diabetes in Ibadan, Nigeria. East Afr Med J. 1997;74(5):299–302. [PubMed] [Google Scholar]
  • 9.Rotimi CN, Cooper RS, Okosun IS, Olatunbosun ST, Bella AF, Wilks R, et al. Prevalence of diabetes and impaired glucose tolerance in Nigerians, Jamaicans and US blacks. Ethn Dis. 1999;9(2):190–200. [PubMed] [Google Scholar]
  • 10.Nyenwe EA, Odia OJ, Ihekwaba AE, Ojule A, Babatunde S. Type 2 diabetes in adult Nigerians: a study of its prevalence and its risk factors in Port Harcourt, Nigeria. Diabetes Res Clin Pract. 2003;62(3):177–185. doi: 10.1016/j.diabres.2003.07.002. [DOI] [PubMed] [Google Scholar]
  • 11.Agaba IE, Agbaji OO, Anteyi EA. Pattern of renal disease in North Central Nigeria. Journal of Medicine in the Tropics. 2002;4:33–37. [Google Scholar]
  • 12.Kinnear TWG. The pattern of diabetes in a Nigerian Teaching Hospital. East Afr Med J. 1963;40:288–294. [PubMed] [Google Scholar]
  • 13.Adetuyibi A. Diabetes in Nigerian African: Review of long-term complications. Trop Geog Med. 1976;28:155–168. [PubMed] [Google Scholar]
  • 14.The clinical profile of Nigerians with long-standing diabetes mellitus. Int Diab Diag. 1998;9:44–45. [Google Scholar]
  • 15.Sasso FC, De Nicola L, Carbonara O, Nasti R, Minutolo R, Salvatore T, et al. Cardiovascular risk factors and disease management in type 2 diabetic patients with diabetic nephropathy. Diabetes Care. 2006;29(3):498–503. doi: 10.2337/diacare.29.03.06.dc05-1776. [DOI] [PubMed] [Google Scholar]
  • 16.Rossing P, Hougaard P, Borch-Johnsenk K, Parving HH. Predictors of mortality in insulin-dependent diabetes: 10-year observational follow-up study. Brit Med J. 1996;313:779–784. doi: 10.1136/bmj.313.7060.779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Klein R, Klein BEK, Moss SE. Epidemiology of proliferative diabetic retinopathy. Diabetes Care. 1992;15:1875–1891. doi: 10.2337/diacare.15.12.1875. [DOI] [PubMed] [Google Scholar]
  • 18.Verma L, Prakash G, Tewari HK, Gupta SK, Murthy GV, Sharma N. screening for diabetic retinopathy by non-ophthalmologists: effective publick health tool. Acta Ophthal Scan. 2003;81:373–377. doi: 10.1034/j.1600-0420.2003.00004.x. [DOI] [PubMed] [Google Scholar]
  • 19.Juutilainen A, Lehto S, Ronnemaa T, Pyorala K, Laakso M. retinopathy predicts cardiovascular mortality in type 2 diabetic men and women. Diabetes Care. 2007;30:292–299. doi: 10.2337/dc06-1747. [DOI] [PubMed] [Google Scholar]
  • 20.Cawley J, Burkhauser RV. BEYOND BMI: The value of more accurate measures of fatness and obesity in social science research. 1050 Massachusetts Avenue, Cambridge, MA 02138: National bureau of economic research; 2006. Jun, Working Paper 12291. http://www.nber.org/papers/w12291. [DOI] [PubMed] [Google Scholar]
  • 21.Waist circumference and waist-hip ratio: report of a WHO expert consultation. Geneva: 2008. pp. 8–11. [Google Scholar]
  • 22.Luehr D, Woolley T, Burke R, Dohmen F, Hayes R, Johnson M, Kerandi H, Margolis K, Marshall M, O'Connor P, Pereira C, Reddy G, Schlichte A, Schoenleber M. Institute for Clinical Systems Improvement Hypertension Diagnosis and Treatment. http://bit.ly/Hypertension1112. Updated November 2012.
  • 23.Rodgers M, Hodges R, Hawkins J, Hollingworth W, Duffy S, McKibbin M, Mansfield M, Harbord R, Sterne J, Glasziou P, Whiting P, Westwood M. Colour vision testing for diabetic retinopathy: a systematic review of diagnostic accuracy and economic evaluation. Health Technology Assessment. 2009;13(60) doi: 10.3310/hta13600. [DOI] [PubMed] [Google Scholar]
  • 24.Feldt-Rasmussen B. Screening and diagnosis of diabetic nephropathy. DiabetesVoice. 48:12–14. [Google Scholar]
  • 25.Hsieh ST. Pathology and Functional Diagnosis of Small-fiber Painful Neuropathy. Acta Neurol Taiwan. 2010;19:82–89. PubMed. [PubMed] [Google Scholar]
  • 26.Muktabhant B, Sanchaisuriya P, Sarakarn P, Tawityanon W, Trakulwong M, Worawat S, Schelp FP. Use of glucometer and fasting blood glucose as screening tools for diabetes mellitus type 2 and glycated haemoglobin as clinical reference in rural community primary care settings of a middle income country. BMC Public Health. 2012;12:349. doi: 10.1186/1471-2458-12-349. PubMed. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Chen Y, Zhang X, Pan B, Jin X, Yao H, Chen B, Zou Y, Ge J, Chen H. A modified formula for calculating low-density lipoprotein cholesterol values Lipids in Health and Disease. 2010;9:52. doi: 10.1186/1476-511X-9-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Jellinger PS, Smith DA, Mehta AE, Ganda O, Handelsman Y, Rodbard HW, Shepherd MD, Seibel JA, AACE Task Force for Management of Dyslipidemia and Prevention of Atherosclerosis American association of clinical endocrinologists' guildlines for management of dyslipidemia and prevention of atherosclerosis. Endocrine practice. 2012;18(1):1–78. doi: 10.4158/ep.18.s1.1. [DOI] [PubMed] [Google Scholar]
  • 29.Hillis GS, Hata J, Woodward M, Perkovic V, Arima H, Chow CK, et al. Resting Heart Rate and the Risk of Microvascular Complications in Patients With Type 2 Diabetes Mellitus. J Am Heart Assoc. 2012;1(5):e002832. doi: 10.1161/JAHA.112.002832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Tesfaye S, Gill G. Chronic diabetic complications in Africa. African Journal of Diabetes Medicine. 2011;19(1):4–8. [Google Scholar]
  • 31.Hari Kumar KVS, Kota SK, Basile A, Modi KD. Profile of microvascular disease in Type 2 Diabetes in a tertiary health care hospital in India. Annals of Medical and Health Sciences Research. 2012 Jul;2(2):103–108. doi: 10.4103/2141-9248.105654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Okoro EO, Adejumo AO, Oyejoba BA. Diabetic care in Nigeria: report of a self-audit. J Diabetes complications. 2002;16:159–164. doi: 10.1016/s1056-8727(01)00145-3. [DOI] [PubMed] [Google Scholar]
  • 33.Uloko AE, Yusuf SM, Puppet FH, Adeniyi AF, Gezuwa ID, Sada KB, et al. Assessment of quality of glycaemic control and clinical complications of DM. Arch Diab & Cardio Med. 2012;1(4):40–45. [Google Scholar]
  • 34.Alebiosu CO. Clinical diabetic nephropathy in a tropical African population. West Afr J Med. 2003 Jun;22(2):152–155. doi: 10.4314/wajm.v22i2.27938. [DOI] [PubMed] [Google Scholar]
  • 35.Usman A, Umar RA, Shehu NI, Wali U, Nasir A. Markers of Diabetic Nephropathy in Diabetic Patients in Gusau, Zamfara State, Nigeria. Nigerian Journal of Basic and Applied Science. 2012;20(2):130–133. http://www.ajol.info/index.php/njbas/index. [Google Scholar]
  • 36.Owolabi MO, Ipadeola A. Total vascular risk as a strong correlate of severity of diabetic peripheral neuropathy in Nigerian Africans. Ethn Dis. 2012;22(1):106–112. [PubMed] [Google Scholar]
  • 37.Ugoya SO, Echejoh GO, Ugoya TA, Agaba EI, Puepet FH, Ogunniyi A. Clinically diagnosed diabetes neuropathy: frequency, types, and severity. J Natl Med Associa. 2006;98(11):1763–1766. [PMC free article] [PubMed] [Google Scholar]
  • 38.Booya F, Bandarian F, Larijani B, Pajouhi M, Nooraei M, Lotfi J. Potential risk factors for diabetic neuropathy: a case control study. BMC Neurol. 2005;5:24. doi: 10.1186/1471-2377-5-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sima AA. Pathological mechanisms involved in diabetic neuropathy: can we slow the process? Curr Opin Investig Drugs. 2006;7(4):324–337. [PubMed] [Google Scholar]
  • 40.Zelman DC, Brandenburg NA, Gore M. Sleep impairment in patients with painful diabetic peripheral neuropathy. Clin J Pain. 2006;22(8):681–685. doi: 10.1097/01.ajp.0000210910.49923.09. [DOI] [PubMed] [Google Scholar]
  • 41.Vileikyte L, Leventhal H, Gonzalez JS, Peyrot M, Rubin RR, Ulbrecht JS, et al. Diabeticperipheral neuropathy and depressive symptoms: the association revisited. Diabetes Care. 2005;28(10):2378–2383. doi: 10.2337/diacare.28.10.2378. [DOI] [PubMed] [Google Scholar]
  • 42.Nwankwo CH, Nandy B, Nwankwo BO. Factors Influencing Diabetes Management Outcome among Patients Attending Government Health Facilities in South East, Nigeria. International Journal of Tropical Medicine. 2010;5:28–36. doi: 10.3923/ijtmed.2010.28.36. PubMed. [DOI] [Google Scholar]

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