Journal of Diabetes & Metabolism

ISSN - 2155-6156


Research Article - (2012) Volume 3, Issue 9

The Effect on Quality of Life and Psychiatric Symptoms of Other Comorbid Chronic Diseases on Patients with Type 2 Diabetes Mellitus

Ilkay Ozdemir1, Cicek Hocaoglu2*, Mustafa Kocak3 and Onder H Ersoz3
1Health Directorate, Trabzon, Turkey
2Department of Psychiatry, University of Recep Tayyip Erdogan, Rize, Turkey
3Department of Endocrinology and Metabolism, Karadeniz Technical University, Trabzon, Turkey
*Corresponding Author: Cicek Hocaoglu, Department of Psychiatry, Medical School, University of Recep Tayyip Erdogan, 53000, Rize, Turkey, Tel: +90 464 2123000 Email:


Objective: This study was intended to examine the associations between psychiatric symptoms and quality of life in patients with diabetes and other co-morbid chronic physical diseases and sociodemographic variables.

Method: One hundred randomly selected consecutive patients with type 2 diabetes mellitus (DM) admitted to the Department of Endocrinology out-patient clinic at the Karadeniz Technical University were enrolled. One hundred age-, gender- and marital status-matched volunteers served as the control group. The sociodemographic data form, Hospital Anxiety and Depression Scale (HAD) and Short Form-36 (SF–36) were completed for all participants.

Results: Patient group education and income levels were lower than those of the controls. When SF-36 scores were compared in terms of presence or absence of co-morbid disease in addition to diabetes, mean scores of subjects with chronic disease were lower in the patient and control groups. When HAD-A and HAD-D mean scores were compared in terms of the presence or absence of other co-morbid chronic disease, both sub-scale scores were higher in those members of the patient group with chronic diseases.

Conclusions: This study establishes that diabetes causes an extreme deterioration in patients’ quality of life and gives rise to many accompanying clinical signs. Our study thus emphasizes the need for consultation and liaison between departments.

Keywords: Diabetes mellitus; Type 2- psychiatric symptoms; Quality of life; Chronic disease


Type 2 is the most commonly encountered form of diabetes, representing 90% of cases. The current figure of 150 million diabetics is expected to rise to 300 million in 2025 [1]. Type 2 diabetes mellitus (DM) gives rise to acute metabolic complications developing in the long term (coronary disease, peripheral artery disease, cerebrovascular disease) and to microvascular complications (nephropathy, retinopathy) [2]. Although type 2 DM is essentially a disease of the endocrine system, it also has psychosocial and psychological dimensions that impact on several systems. It can also lead to psychiatric disorders by affecting cerebral functions, and perception of the disease and its impact on the patient’s spheres of life can also give rise to psychiatric problems [3,4]. In addition to physical treatment, consideration of patients with diabetes as a whole requires diagnosis and treatment of the mental, psychological, psychophysical and psychosocial pictures accompanying the disease. The majority of studies aimed at determining quality of life in patients with diabetes have shown a decline in quality of life with increasing duration of type 2 DM [5,6]. The presence of complications, failure to establish sufficient metabolic control, the presence of other chronic diseases and previous psychological diseases, all have a negative impact on quality of life [7]. In another study, quality of life in patients reported as receiving insulin treatment was lower than that of patients receiving oral treatment. Conditions accompanied by obesity and complications also accompany a low quality of life [8]. In the presence of changes in blood glucose levels, disease-associated complications and other co-morbid chronic diseases, physical functioning impairment, problems and psychiatric disorders emerging as the duration of the disease increases all have an effect on emotional state and the difficulties imposed on the patient by the disease. These difficulties in turn impact on social functioning. Quality of life has been reported to be worse in diabetic individuals compared to the general population in several studies [9,10].

Significant advances in the treatment of diseases have led to an intensification of efforts directed toward the extension of average life expectancies and, in association with this, increasing quality of life in individuals with chronic diseases. Studies evaluating the effect on quality of life in patients with type 2 DM of different treatment modalities, symptom severity and other physical diseases accompanied by complications, report that these all have a negative impact [11-13].

The aim of this study was to investigate the associations between quality of life and psychiatric symptoms observed in patients with type 2 DM and other co-morbid chronic physical diseases and sociodemographic variables.


Sample groups

The cases enrolled in the study were selected from consecutive patients under observation with a diagnosis of type 2 DM at the Karadeniz Technical University Endocrinology Clinic, Turkey, between 1 January and 31 March, 2007. The study was approved by the Local Ethics Committee of the Karadeniz Technical University Medical Faculty. Informed consent was obtained from the participants after all procedures had been fully explained. One hundred patients who agreed to participate and signed informed consent forms after being briefed about the aims and methods of the study were enrolled. Patients with psychotic disorders, dementia, and psychiatric diseases over the previous 6 months or a history of psychotropic drug use were excluded. Patients lacking sufficient education to understand the tests or with mental or social retardation were also excluded. A control group was established from among hospital staff or friends or relatives accompanying patients who volunteered to participate after being informed about the aims and methods of the study, with no ongoing psychiatric disease or psychiatric treatment and who matched the patient group in terms of age, sex and marital status. All volunteers completed the study.


Sociodemographic data collection form: Patients complete a form containing questions on age, education, sex, marital status, economic status, duration of illness, occurrence of other medical disorders, family history of psychiatric disorders and duration and type of drugs being used. The participants were categorized into 3 groups on the basis of their the economic status, in other words, their total monthly income (total contribution of all family members was considered): (1) 404 New Turkish Lira (YTL) or less, (2) 404–807 YTL and (3) 807 YTL and above.

Hospital Anxiety and Depression scale (HAD): This is a measure developed in order to determine anxiety and depression in terms of risk in patients with physical diseases and applying to primary health care services, and to measure changes in levels and severity. Developed by Zigmond and Snaith, it consists of 14 questions on a 4-point Likert scale, of which 7 (odd numbers) measure anxiety and 7 (even numbers) measure depression. It has been shown to be valid and reliable in Turkish patients. Studies in Turkey have established a cut-off score of 10/11 for the anxiety sub-scale (HAD-A) and of 7/8 for the depression sub-scale. Patients with scores above these are regarded as being at risk. The lowest possible score in both sub-scales is 0 and the highest 21 [14].

Short Form-36 (SF-36): Developed by the Rand Corporation [15] and used in order to evaluate quality of life, this is a self-administered measure with generic criteria. It was particularly developed in order to measure quality of life in patients with physical diseases. However, it is also successfully used in healthy individuals and psychiatric patients. It can evaluate both positive and negative aspects of health status and is highly sensitive in determining small changes in levels of handicap. SF-36 investigates 8 dimensions: physical functioning, role limitation (associated with physical and emotional problems), social functioning, mental health, vitality (energy), bodily pain, general health perception and general mental health under 36 items. The measure has no raw score; the total 8 sub-scale scores are simply calculated. Sub-scale scores range from 0 to 100. The total scale score is not calculated. It has also been shown to be valid and reliable in Turkish patients [16].

Statistical analyses

SPSS for Windows 10.0 was used for the evaluation of data. The Kolmogorov–Smirnov test was used to test the normal distribution of the data. As these were normally distributed, the differences in the HAD-A, HAD-D and SF-36 scores between the patients and the control group were compared using Student’s t-test. The Mann-Whitney U test was used for those data which did not conform to normal distribution. Qualitative data were analyzed using the chi-square test. Data obtained by measurement are shown as mean ± standard deviation, and data obtained by counting as numbers (%).


One hundred patients diagnosed with type 2 DM constituted the study group and 100 healthy volunteers the controls. Mean age of the control group was 53.9 ± 7.44 years, compared to 55.7 ± 7.14 in the patient group. No statistically significant difference was determined between the groups in terms of age, sex or marital status. A statistically significant difference was, however, determined in terms of education and income levels (p=0.001; p<0.001). Study group sociodemographic characteristics are shown in Table 1.

  Type 2 DM (n=100) n (%) Control (n=100) n (%)    
    Statistical test    
Gender     χ2=0.02 χ2=0.02
Female 50 (50%) 51(50.5%)    
Male 50 (50%) 49(49.5%)    
Marital status     χ2=0.02 0.217
Married 88 (88%) 94(94%)    
Single/ Other 12(12%) 6 (6%)    
Education     χ2=0.02 0.001
No formal education 30(30%)      
Primary school 39 (39%)      
High school or higher 31 (31%)      
Economic status     χ2=0.02 <0.001
<404 YTL 9 (9%) 2 (2%)    
404–807 47 (47%) 17(17%)    
≥807 44 (44%) 81(81%)    
  Mean ± S.D. Mean ± S.D    
Mean age 55.7 ± 7.14 53.9 ± 7.44 t= 1.65 0.099
χ2: chi-square test; t: Student’s t-test

Table 1: Sociodemographic characteristics of the study groups.

Duration of disease in the patient group ranged from 1 to 30 years, with an average of 11.06 ± 7.20 years. Fifty-four patients (54%) were using oral antidiabetics and 45 (45.0%) insulin; 56 (56.0%), 20 (20.0%) and 24 (24.0%) patients were using other, non-DM related drugs for hypertension, coronary disease and hyperlipidemia, respectively. Patient group clinical characteristics are shown in Table 2.

  Type 2 DM (n=100) %
Duration of disease    
Less than 10 years 44 44.0
10 years or above 56 56.0
Treatment modalities    
Diet 1 1.0
Oral antidiabetic 53 54.0
Insulin 45 45.0
Non-DM related drugs    
Hypertension 56 56.0
Coronary disease 20 20.0
Hyperlipidemia 24 24.0

Table 2: Clinical characteristics of the patient group.

Fifty-seven cases of history of non-diabetic disease were determined in the control group and 74 in the patient group. Fourteen histories of psychiatric disease were determined in the control group and 27 in the patient group. Twenty-one cases with a family history of psychiatric disease were identified in the control group and 15 in the patient group. Comparisons of the groups’ non-diabetic disease, psychiatric disease history and family history of psychiatric disease are shown in Table 3.

  Type 2 DM n (%) Control n (%) p
Non-diabetic disease     0.011
Yes 74 (74.0%) 57 (57.0%)  
No 26 (26.0%) 43 (43.0%)  
History of psychiatric disorder     0.036
Present 27 (27.0%) 14 (14.0%)  
Absent 73 (73.0%) 86 (86.0%)  
Family history of psychiatric disorder     0.357
Yes 15 (15.0%) 21 (21.0%)  
No 85 (85.0%) 79 (79.0%)  

Table 3: Comparisons of the groups’ non-diabetic diseases, psychiatric disorder history and family history of psychiatric disease.

HAD-A (p=0.006) and HAD-D (p=0.008) mean scores were higher in subjects with chronic non-diabetic disease accompanying type 2 DM, and the difference was statistically significant. At examination of SF-36 sub-scales, quality of life scores were lower in all areas except for emotional role limitation (p=0.246) and general health perception (p=0.050) (physical functioning p<0.001; physical role limitation p=0.049; bodily pain p=0.007; energy p=0.006; social functioning p=0.007; mental health p=0.003), and the difference was again statistically significant. Control group subjects with non-diabetic chronic disease had higher mean HAD-A scores, and the difference was again significant (p=0.034). Mean HAD-D score was higher compared to those with no such chronic disease, but the difference was not statistically significant (p=0.103). In terms of mean SF-36 sub-scale scores, these were lower in all fields, but apart from pain (p=0.035) and energy (p=0.021) the difference in quality of life scores was not statistically significant (p=0.103). Comparisons of HAD and SF-36 scores in patients with type 2 DM and control groups in terms of presence or absence of co-morbid disease are shown in Table 4.

  Type 2 DM  Control Group
  Comorbid chronic disease
No additional disease
p Comorbid chronic
No additional disease
HAD-A 7.77±5.03 5.15±3.60 0.006 7.68±4.143 5.91±4.02 0.034
HAD-D 8.08±4.92 5.19±4.03 0.008 6.05±3.40 4.95±3.17 0.103
Physica functioning 55.95±28.96 77.11±23.25 <0.001 73.33±23.23 82.56±18.50 0.145
Physical role 34.46±41.73 49.04±42.71 0.049 75.00±36.29 86.05±25.77 0.090
Pain 58.26±66.73 70.35±24.93 0.007 67.44±19.82 66.80±19.83 0.035
General health 41.23±27.33 53.31±24.51 0.050 57.56±17.13 65.80±17.73 0.872
Energy 46.15±28.56 64.04±25.18 0.006 59.91±16.84 65.00±15.58 0.021
Social functioning 59.12±34.08 79.33±26.44 0.007 76.32±19.29 78.49±15.51 0.126
Emotional role 36.04±39.31 47.44±42.35 0.246 67.25±41.54 80.62±33.52 0.546
Mental health 54.64±21.97 66.92±15.74 0.003 65.96±15.86 68.28±10.92 0.390

Table 4: Comparisons of HAD and SF-36 mean scores in the patient and control groups in terms of presence or absence of co-morbid disease.


This descriptive and cross-sectional study established that, in the presence of other co-morbid chronic diseases, patients with type 2 DM had higher levels of psychiatric symptoms and lower quality of life compared to the control group. At analysis of the clinical characteristics of our patient group, disease duration ranged between 1 and 30 years, with a mean duration of 11.06 ± 7.20 years. Duration was 10 years or above in 56% of patients and less than 10 years in 44%. In one previous study, 72.6% of patients enrolled had the disease for less than 10 years and 33.4% for more [17]. In another study, 48.7% of patients had disease duration of 10 years and above, and 51.3% of less than 10 years [18].

In terms of treatment modalities in patients with type 2 DM, 54% used oral antidiabetic drugs and 44% insulin, while metabolic control was established through diet in 1%. In a similar study, 45.5% of patients used antidiabetic drugs and 19.5% insulin, while metabolic control was established through diet and exercise in 35% [19]. In another study, the level of insulin use was 65% and of oral antidiabetic drugs use 30%, with blood glucose being regulated through exercise alone in 5% [20]. The level of oral antidiabetic drug use was 49.1% in another study, compared to insulin use at 9.4% and combined oral antidiabetic drug and insulin use at 31.7%, with blood glucose being regulated through diet and exercise alone in 5.7% [21].

Comparing our patient and control groups in terms of nondiabetic disease, a history of psychiatric disease and a family history of psychiatric disease, 74% of the patient group and 57% of the control group had a non-diabetic disease, while a history of psychiatric disease was determined in 27% of the patient group and 14% of the control group, and a family history of psychiatric disease in 15% of the patient group and 21% of the control group. HAD-A and HAD-D mean scores were higher in the patient group in the presence of chronic disease accompanying type 2 DM; in other words, anxiety and depression levels rose, while although HAD-A and HAD-D mean scores in the control group were high, the increase was only significant with respect to respect of anxiety levels. In agreement with our results, depression levels have been reported to rise in type 2 DM accompanied by cardiovascular disease [22]. In a cohort study performed between 1989 and 2001 by Brown et al., when patients with severe, chronic non-diabetic disease were compared with non-diabetics, in contrast to our study, type 2 DM was not reported as an increasing risk for the development of depression. Those authors suggested that complications and co-morbid non-diabetic chronic disease represented an enhanced risk for depression [23].

When quality of life sub-scales in the patient and control groups were compared in terms of presence or absence of chronic, nondiabetic disease, scores in the control group were lower in all fields in the presence of co-morbid chronic disease, except for the SF-36 subscale emotional role strength and general health fields. In the control group, apart from the bodily pain and energy fields, the difference in the other fields was not significant. Similar to our own, one study in the literature reported that co-morbid chronic non-diabetic disease had a negative impact on the fields of physical function, pain and energy [7]. In a study of diabetic Pima indigenous peoples, significantly lower scores were reported in 6 out of 8 quality of life sub-scales in the presence of chronic disease [24]. Again in agreement with our study, one study in which retrospective data were analyzed compared case and control groups in terms of quality of life in the presence of co-morbid chronic disease; scores in the physical functioning, social functioning and general health fields were lower in the patient group, while no difference was determined in the fields of mental health and bodily pain [25]. Another study, using SF-20, reported that low quality of life scores accompanied the presence of chronic disease [20]. Similarly, in another study, SF-36 sub-scales were grouped as mental and physical compounds; lower quality of life scores were determined in the physical compound in the presence of accompanying chronic disease following two evaluations, one at time of diagnosis and the other after 1 year [26]. In a study of a group of patients with type 2 DM in Greece, significant differences were reported in 4 of the SF–36 sub-scales [27]. A study conducted in northern countries using several quality of life measures reported that presence of accompanying chronic disease was a powerful determinant of quality of life [28]. Martin et al. reported low physical functioning, pain, general health and energy field scores in patients with type 2 DM in the presence of co-morbid chronic disease [29]. A study of African Americans using SF-36 also reported negative quality of life scores in the presence of co-morbid disease [30]. To put it another way, the majority of studies in the literature support our own findings and report that quality of life declines in the presence of chronic disease accompanying diabetes.

In conclusion, our study reveals the need for consultation and liaison between departments. It is important for cases to be investigated in bio-psycho-social terms and for requests for psychiatric help to be supported. Co-operation between departments will result in an improvement in patients’ quality of life, lower treatment costs and less time being wasted by therapeutic teams and patients.

This study has a number of limitations. The fact that it is crosssectional with patients being selected from a single center, and that during the psychiatric evaluation of cases no structured interviews of diagnostic value were administered makes generalization impossible. In addition, bearing in mind that the mean disease duration of the patients in the study is quite long, 11.06+7.20 years, sexual function impairment, a frequently encountered complication in patients with type 2 DM, might also be expected to arise and also to have a negative impact on quality of life. The fact that SF-36 does not enquire into sexual functions, and that quality of life in that field is not evaluated, may be thought of as representing another limitation. For that reason, the use in future studies of a quality of life measure specifically developed for diabetes may permit sounder results to be obtained. Despite these limitations, we believe that in terms of its involving a control group and the results obtained from it, our study can light the way for future research.


  1. Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27: 1047-1053.
  2. Ahmed KA, Muniandy S, Ismail IS (2010) Type 2 Diabetes and Vascular Complications: A pathophysiologic view. Biomedical Research 21: 147-155.
  3. Aujla N, Skinner TC, Khunti K, Davies MJ (2010) The prevalence of depressive symptoms in a white European and South Asian population with impaired glucose regulation and screen-detected Type 2 diabetes mellitus: a comparison of two screening tools. Diabet Med 27: 896-905.
  4. McIntyre RS, Kenna HA, Nguyen HT, Law CW, Sultan F, et al. (2010) Brain volume abnormalities and neurocognitive deficits in diabetes mellitus: points of pathophysiological commonality with mood disorders? Adv Ther 27: 63-80.
  5. Baghianimoghadam MH, AfkhamiArdekani M, Baghianimoghadam B (2009) Effect of education on improvement of quality of life by SF-20 in type 2 diabetic patients. Acta Med Indones 41: 175-180.
  6. Zanuso S, Balducci S, Jimenez A (2009) Physical activity, a key factor to quality of life in type 2 diabetic patients.Diabetes Metab Res Rev 25: S24-S28.
  7. Gulseren L, Hekimsoy Z, Gulseren S, Bodur Z, Kultur S (2001) Depression-Anxiety, Quality of Life and Disability in Patients with Diabetes Mellitus. Türk Psikiyatri Dergisi 12: 89-98.
  8. Redekop WK, Koopmanschap MA, Stalk RP, Rutten GE, Wolffenbuttel BHR, et al. (2002) Health- related quality of life and treatment satisfaction in Dutch patients with type 2 diabetes. Diabetes Care 25: 458-463.
  9. Dickerson F, Brown CH, Fang L, Goldberg RW, Kreyenbuhl J, Wohlheiter K, et al. (2008) Quality of Life in Individuals With Serious Mental Illness and Type 2 Diabetes. Psychosomatics 49: 109-114.
  10. Odili VU, Ugboka UL, Oparah AC (2009) Quality Of Life Of People With Diabetes In Benin City As Measured With WHOQOL- BREF.J Law, Healthcare and Ethics 6.
  11. Ann Goebel-Fabbri, Gail Musen, Caitlin R.Sparks (2005) Textbook of Psychosomatic Medicine. First Edition, The American Psychiatric Publishing: 496-500.
  12. Snoek JF (2000) Quality of Life: A Closer Look at Measuring Patients' Well-Being. Diabetes Spectrum 13: 24-27.
  13. Brown AF, Ettner SL, Piette J, Weinberger M, Gregg E, et al. (2004) Socioeconomic Position and Health among Persons with Diabetes Mellitus: A Conceptual Framework and Review of the Literature.Epidemiol Rev 26: 63-77.
  14. Aydemir O, Guvenir T, Kuey L, Kultur S (1997) HAD Türkçe formunun geçerlilik ve güvenilirlik çalismasi. Turk Psikiyatri Derg 8: 280-287.
  15. Bowling A, Bond M, Jenkinson C, Lamping DL (1999) Short Form 36 (SF–36) health survey questionnaire: which normative data should be used? Comparisons between the norms provided by the Omnibus survey in Britain, the health survey for England and the Oxford health life survey. J Publ Health Med 21: 255-270.
  16. Koçyigit H, Aydemir O, Olmez N, Memis A (1999) Kisa Form 36 (KF–36)’nin Türkçe versiyonunun güvenilirligi ve geçerliligi. Ilaç ve Tedavi Dergisi 12: 102-106.
  17. Hänninen J, Takala J, Kiukaanniemi SK (1998) Quality of life in NIDDM patients assessed with the SF–20 questionnaire. Diabetes Resc and Clin Pract 42: 17-27.
  18. Eljedi A, Mikolajczyk RT, Kreamer A, Laaser U (2006) Health-related quality of life in diabetic patients and controls without diabetes in refugee camps in the Gaza strip: a cross-sectional study. BMJ Public Health 6: 268-274.
  19. Sakamaki H, Ikeda S, Ikegami N, Uchigata Y, Iwamoto Y, et al. (2006) Measurement of HRQL using EQ-5D in patients with type 2 diabetes mellitus in Japan. Value Health 9: 47-53.
  20. Glasgow RE, Ruggiero L, Eakin GE, Dryfoos J, Chobanion L (1997) Quality of life and associated characteristics in a large national sample of adults with diabetes. Diabetes Care 20: 562-567.
  21. Sundaram M, Kavookjian J, Patrick JH, Miller LA, Madhavan SS, et al. (2007) Quality of life, health status and clinical outcomes in type 2 diabetes patients.Qual Life Res 16: 165-177.
  22. Gregory A, Brown JB (2003) Unadjusted and adjusted prevalence of diagnosed depression in type 2 diabetes. Diabetes Care 26: 744-749.
  23. Brown LC, Majumbar SR, Newman SC, Johnson JA (2006) Type 2 diabetes does not increase risk of depression. CMAJ 175: 42-46.
  24. Johnson JA, Nowatski TE, Coons SJ (1996) Health related quality of life of diabetic Pima indians. Med Care 34: 97-102.
  25. Richard R, Mark P (1999) Quality of life and diabetes. Diabetes Metabolism Research and Reviews 15: 205-218.
  26. Edelman D, Olsen MK, Dudley TK, Haris AC, Oddone EZ (2002) Impact of diabetes screening on quality of life. Diabetes Care 25: 1022-1026.
  27. Wändel PE (2005) Quality of life of patients with diabetes mellitus. Scand J Prim Health Care 23: 68-74.
  28. Papadopoulos AA, Kontodimopoulos N, Frydas A, Ikanomakis E, Niakas D (2007) Predictors of health-related quality of life in type 2 diabetic patients in Greece. BMJ Public Health 7: 186.
  29. Martin M, Escudero M, Blanco S, Casada B, Ares C (2006) Type 2 diabetes mellitus and health- related quality of lfe: results from the Hortega study. An Med Interna 23: 357-360.
  30. Briggs FH, Garry TL, Hill MN, Bone LR, Brancati FL (2002) Health-related quality of life in Urban African Americans with type 2 diabetes. J Gen Intern Med 17: 412-419.
Citation: Ozdemir I, Hocaoglu C, Kocak M, Ersoz OH (2012) The Effect on Quality of Life and Psychiatric Symptoms of other Co-morbid Chronic Diseases on Patients with Type 2 Diabetes Mellitus. J Diabetes Metab 3:221.

Copyright: © 2012 Ozdemir I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.