Depression Research and Treatment

Depression Research and Treatment / 2013 / Article

Clinical Study | Open Access

Volume 2013 |Article ID 341782 | 6 pages | https://doi.org/10.1155/2013/341782

Prevalence and Impact of Anxiety and Depression on Type 2 Diabetes in Tunisian Patients over Sixty Years Old

Academic Editor: H. Grunze
Received14 Feb 2013
Revised27 May 2013
Accepted30 May 2013
Published19 Jun 2013

Abstract

Objectives. To estimate the prevalence of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) in a population aged over sixty years with type 2 diabetes and to study the impact of anxiety and depression on glycemic balance and disease outcome. Results. The prevalence of anxiety and depression in the 62 subjects included in the study was, respectively, 40.3% and 22.6%. We found a relationship between these disorders and complicated diabetes. The subjects having an imperfectly balanced diabetes had a higher average anxiety score than those having a good glycemic control ( versus ; ). No relationship was found between diabetes balance and depression. Conclusion. Association between anxiety and depressive disorders and diabetes is frequent and worsens patients’ outcome, in terms of diabetes imbalance as well as in terms of diabetic complications. Our study shows that there is need for physicians to detect, confirm, and treat anxiety and depressive disorders in elderly diabetic patients.

1. Introduction

In Tunisia, the proportion of individuals over 60 years is increasing, and it reached 9% in 2004 [1].

Diabetes is a major public health problem in Tunisia. Its prevalence has increased steadily and is currently about 9.9% [2]. Prevalence increases with age (11.9% for 60 years or older) [3, 4]. In addition, depression and anxiety, at the top of mental disorders list, mainly remain undiagnosed [5, 6], in particular in the elderly [7, 8] and consequently untreated [9]. Studying the link between diabetes and depressive as well as anxiety disorders in elderly subjects is useful for several reasons. First, diabetes as well as depression constitutes a major source of functional incapacity, and thus of loss of autonomy, in the elderly population [10]. Second, the association of these two pathologies in the same person worsens total health outcome [11] and quality of life [6, 12]. Finally, this association increases health care expenditures [11] and mortality [13]. The aim of this study is to estimate the prevalence of anxiety and depression in a population of elderly subjects aged over sixty suffering from type 2 diabetes and to study the impact of anxiety and depression on glycemic control and the evolution of the disease.

2. Methods

We undertook a descriptive and analytical cross-sectional study on 62 patients who have consulted during September and October 2010 at the Department of Functional Explorations and Metabolic Diseases of Habib Bourguba University Hospital, Sfax, Tunisia. Recruitment was carried out on an ad hoc basis.

The patients included were those who had agreed to take part in the investigation and who were 60 years old or over. We used this age limit because under Tunisian law, 60 is the retirement age.

Exclusion criteria were the incapacity to answer the questions because of cognitive deterioration and refusal to take part in the study.

We used a semistructured questionnaire composed of sociodemographic and professional characteristics which was administered by the same investigator. We collected the clinical data relating to diabetes (duration, personal medical history: dyslipidemia, cardiac and vascular disorders, obesity, and diabetic complications such as macroangiopathy, nephropathy, peripheral neuropathy, and erectile dysfunction) and therapeutic data (physical exercise, diet, regular followup, treatment compliance). The balance of diabetes was assessed by the last rate of glycated hemoglobin (HbA1) and/or fasting glycaemia. Diabetes was considered as balanced if HbA1 <7% and/or fasting glycaemia ≤6 mmol/L.

To evaluate the mood and anxiety state of subjects, we used the Hospital Anxiety and Depression Scale (HADS), a self-assessment scale that has been developed and found to be a reliable instrument for detecting states of depression and anxiety in the setting of a hospital medical outpatient clinic. The anxiety and depressive subscales are also valid measures of severity of the emotional disorder. It is suggested that the introduction of HADS into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments. The thresholds for pathological anxiety and depression were 10 on each of the two subscales (A for anxiety and D for depression) of HADS [14]. We used a validated Arabic version of this questionnaire [15]. The subjects having an elevated score (≥10) were referred to the psychiatric outpatient clinic for specialized evaluation and treatment.

Data analysis was made using the software SPSS for Windows version 11. For the quantitative variables, we calculated averages and standard deviations. We then compared the sub groups: anxious: to nonanxious: and depressed: to not depressed by chi-square test of Pearson or the Fisher exact test as well as Student’s “ ” test of. Statistical significance was designated as less than 0.05.

3. Results

3.1. Sociodemographic Characteristics

Sociodemographic characteristics are summarized in Table 1. In our sample, a female predominance was observed. The average age of included subjects was 66.8 years (standard deviation = 4.8) with patients aged 60 years minimum/80 years maximum. More than two-thirds of the subjects were married. The socioeconomic level was qualified as average in more than 40% of the participants. A little less than three quarters of the subjects had no professional qualifications.


Sociodemographic characteristicsNumber (%)

Sex
 Male16 (25.8)
 Female46 (74.2)
Marital status
 Single0 (0)
 Married40 (64.5)
 Divorced1 (1.6)
 Widowed21 (33.9)
Socioeconomic level
 Low26 (42)
 Medium25 (40.3)
 High 11 (17.7)
Resides
 With family42 (88.7)
 Alone20 (11.3)
Profession
 No professional qualifications45 (72.6)
 Retired15 (24.2)
 Active2 (3.2)

3.2. Clinical and Therapeutic Characteristics

The various clinical and therapeutic characteristics are presented in Table 2. The average age of diabetes onset was 54.5 years (standard deviation = 9.4), ranging from 25 to 74 years. The average duration of the diabetes was 12.4 years (standard deviation = 8.1), ranging from 0 to 36 years. The near total of included subjects (90.3%) had a somatic comorbidity associated with the diabetes. Hypertension was the most frequent comorbidity. More than two-thirds of the sample had poor glycemic control. The average fasting glycaemia was 9.4 mmol/L (standard deviation = 4.4 mmol/L) and average HbA1 was 9% (standard deviation = 2.1%). Fifty-seven subjects affirmed having a good compliance with treatment.


Clinical and therapeutic characteristicsNumber (%)

Somatic comorbidity
 Hypertension 45 (72.6)
 Dyslipidemia31 (50)
 Heart disease15 (24.2)
 Obesity13 (21)
 Dysthyroidism8 (12.9)
Balanced diabetes
 Yes42 (67.7)
 No 20 (32.3)
Diabetes complications
 Macro angiopathy25 (40.3)
 Peripheral neuropathy 24 (38.7)
 Retinopathy 22 (35.5)
 Nephropathy 8 (12.9)
 Erectile dysfunction 3 (18.7)
Treatment compliance
 Yes57 (91.1)
 No5 (8.9)
Follow a balanced diet
 Yes37 (59.7)
 No 25 (41.3)
Practice of physical activity
 Yes19 (30.6)
 No45 (69.4)
Consultation mode
 Regular60 (96.8)
 Irregular2 (3.2)

3.3. Prevalence of Anxiety and Depression

The prevalence of anxiety and depression was, respectively, 40.3% and 22.6%. The average score of anxiety was . The average score of depression was (Table 3).


Average score (%)

(40.3)
(59.7)

(22.6)
(77.4)

: anxious; : not anxious; : depressed; : not depressed.
3.4. Relationship between Anxiety and Depression and Sociodemographic Characteristics

According to the HADS scale, women were significantly more anxious than men. The subjects with no professional qualifications scored higher on the anxiety subscale than did subjects with a profession. In our study, we did not find a link between depression and the different sociodemographic variables (Table 4).


/ /

Sexe M/F2/23; 14/230.0085/9; 11/370.36
Marital status
 Married 14/260.297/330.10
 Divorced 0/11/0
 Widowed11/106/15
Profession
 Active1/10.0090/20.15
 Retired 1/141/14
 No professional qualifications 23/2213/32
Resides
 Alone5/20.071/60.57
 With family 20/3713/42
Socioeconomic level
 Low 13/140.406/200.45
 Medium8/177/18
 High 4/71/10

: number of patients; M/F: male/female; : anxious; : not anxious; : depressed; : not depressed.
3.5. Relationship between Anxiety and Depression and Diabetes Clinical Characteristics

In our study, we did not note a statistically significant correlation between duration of diabetes and anxiety and depression ( years in anxious subjects versus years in nonanxious subjects; and years in depressed subjects versus years in nondepressed subjects, ). When we studied the link between anxiety/depression and diabetes somatic comorbidities, we found that the average anxiety score of the subjects having a somatic comorbidity was higher, except for subjects having obesity as a comorbidity. However, this correlation was statistically significant only for hypertension. A similar correlation was not found when we studied the relationship between depression and somatic comorbidity. As to glycaemic control, average anxiety score was significantly higher amongst patients whose diabetes was badly managed. Nevertheless, there was no relationship between depression and diabetes balance in our sample. We noted that patients with complicated diabetes had a significantly higher average anxiety score ( versus ; ). Indeed, anxious subjects had more diabetes complications, especially nephropathy and retinopathy. Subjects suffering from peripheral neuropathy, and retinopathy had a higher depression average score (Table 5).


Clinical and therapeutic characteristicsAAS (SD) DAS (SD)

Balanced diabetes
 Yes6.5 (3.1)0.0175 (3.1)0.14
 No 9.1 (4.2)6.7 (4.7)
Comorbidity type
 Dyslipidemia
  Yes9.1 (4)0.146.5 (4.6)0.47
  No7.5 (4)5.7 (4.1)
 Heart disease
  Yes9 (4.6)0.477.6 (4.8)0.15
  No8.1 (3.9)5.7 (4.1)
 HTA
  Yes9 (4.1)0.036.5 (4.6)0.24
  No6.5 (3.6)5.1 (3.4)
 Obesity
  Yes7.5 (4)0.436.9 (5.3)0.49
  No8.5 (4)5.9 (4.1)
 Dysthyroidism
  Yes8.2 (3.7)0.945.1 (2.8)0.47
  No8.3 (4)6.3 (4.5)
Complication type
 Macroangiopathy
  Yes8.9 (3.8)0.336.9 (4.5)0.27
  No 7.9 (4.3)5.6 (4.2)
 Nephropathy
  Yes11.3 (3.2)0.0248.1 (4.7)0.18
  No7.8 (4)5.8 (4.3)
 Retinopathy
  Yes10.3 (4.1)0.0047.9 (4.6)0.017
  No7.2 (3.7)5.2 (3.9)
 Peripheral neuropathy
  Yes9.4 (3.9)0.108.1 (5.4)0.005
  No7.6 (4.1)4.9 (3)
 Erectile dysfunction
  Yes7.3 (3.5)0.677.3 (2.3)0.64
  No8.3 (4.1)6.1 (4.4)

AAS: anxiety average score; DAS: depression average score; (SD): standard deviation.

Logistic regression analysis showed that anxiety was principally related to female gender ( ) and to the presence of nephropathy ( ). On the other hand, depression was correlated with the two variables: peripheral neuropathy ( ) and retinopathy ( )

3.6. Relationship between Anxiety, Depression, and Diabetes Treatment Characteristics

In our study, we did not find a correlation between diabetes treatment characteristics, anxiety, and depression.

4. Discussion

The prevalence of anxiety and depression, according to HADS scores, was, respectively, 40.3% and 22.6% in our sample of elderly diabetic subjects.

In the literature, the prevalence of depression in elderly type 2 diabetics varies from 4.5% [11] to 17% [10]. Contrary to depression, there are few studies [1618] examining anxiety in type 2 diabetics, particularly in older subjects. A study on a sample of 1,066 elderly type 2 diabetics aged 69 to 74 years [17], showed an average anxiety score of on the HADS scale and an average depression score of . The anxiety and depression scores of the patients in our sample were higher. This difference could be explained by our sample being derived from subjects consulting at a hospital. Indeed, diabetic subjects who consulted at the hospital were generally referred there due to difficulties during treatment in first line structures. Consequently, they might have had a higher risk to present anxiety and depression. That is why it seems to be important to detect and treat these disorders as early as possible.

The relationship between mood disorders and diabetes is bidirectional [10, 13, 19]. Several explanations are proposed that are inevitably interconnected; mood disorders are associated with an unhealthy lifestyle (tobacco abuse, little or no exercise, and excessive caloric intake) [20]. Depression is also related to obesity, which in turn is responsible for intolerance to glucose. Furthermore, depression is associated with physiological abnormalities, including the activation of the hypothalamus-pituitary-adrenal axis, the sympathetic nervous system, and the proinflammatory cytokines [18, 20], which can induce a resistance to insulin, and thus increase the risk of diabetes. Diabetes might increase the risk of depression and anxiety because of feelings of threat and loss related to the announcement of the diagnosis and the need to make lifestyle changes [11]. Finally, the association between mood disorders and diabetes can be partly explained by the existence of comorbidities [3, 18].

In our study, patients having a poorly controlled diabetes presented a significantly higher average anxiety score ( ). Indeed, these patients might be worried about complications related to their poor glycemic control. In addition, anxiety could deteriorate glycemic balance via adrenergic hyperactivity [21, 22]. We did not find a relationship between depression and diabetes balance; this has also been the case in several other studies on the subject [13, 23, 24].

In our study, subjects having high scores of anxiety and depression had significantly more complications of nephropathy, peripheral neuropathy and retinopathy. Indeed, depressed and anxious subjects are less likely to conform to recommendations concerning their diabetes that could affect glycemic control and consequently might impact the outcome of the disease [11, 13, 16]. Moreover, subjects suffering from diabetes are exposed to continuous stress generated by these complications, which may worsen or precipitate depression [11, 13, 18, 19]. Lastly, depression might constitute an etiopathologic factor responsible for the development of micro and macroangiopathy via pathophysiological modifications induced by deterioration of cellular immunity (diminished proliferative response of lymphocytes and reduction of NK activity) [11].

5. Limits of the Study

Although diabetes has a high prevalence in elderly subjects, our sample size was small. The reasons for this are varied. Our exclusion criteria left out a large proportion of patients, specifically those who were illiterate, those with cognitive impairments, and those who refused to join the study. Furthermore, the majority of diabetic patients in Tunisia are treated in first line health care facilities (private and public general practitioners). Thus, the hospital population represents only a part of the patients, most often those who had a diabetes which was difficult to manage.

Our study has a cross-sectional design; therefore, a causal relationship between clinical variables related to diabetes and symptoms of anxiety and depression cannot be established.

We used a psychometric scale, rather than a structured interview, to evaluate anxiety and depression. However, this instrument is frequently used as a screening tool in units for somatic diseases in order to detect psychiatric disorders and refer patients to a more specialized consultation. The interest of the HADS scale lies in the fact that it does not take into account the physical dimension of psychiatric symptoms, which could be a source of confusion. Indeed, symptoms which could be attributed to physical diseases such as insomnia, tiredness, headaches, and disturbances of appetite were omitted to avoid false positive findings amongst people with somatic diseases.

Another limit to the study is the nature of the studied population. As was mentioned above, patients consulting at a hospital might have a higher prevalence of anxiety and depression than the patients consulting in first line facilities.

6. Conclusion

Diabetes, anxiety, and depression, are frequent pathologies, and each constitutes a public health problem in Tunisia. These pathologies are known to be more frequent in elderly people. Whereas diabetes is easy to detect and diagnose, this is not always the case with anxiety and mood disorders. According to recent estimates, more than three quarters of these psychiatric pathologies might not be detected. Several factors might explain this: the frequent expression of depression through somatic symptoms in the elderly, the tendency to attribute psychical suffering in the elderly to physical symptoms only the fear of being stigmatized as a psychiatric patient. Our results, in major part, are comparable to those of the literature and confirm the high prevalence of anxiety and depression in elderly subjects suffering from diabetes. The causal link between these two conditions seems to be bidirectional. In any case and according to our results, the association of these two types of pathologies impairs global outcome in terms of a greater diabetes imbalance and more frequent complications. Thus the need to detect, confirm, and treat anxiety and depressive disorders in elderly diabetic subjects. This will only be possible through close collaboration between geriatrists, diabetologists, nutritionists, and psychiatrists.

References

  1. M. Ben Ferjani and A. Ben Brahim, “Demographic developments in Tunisia and its impact on the labor market and human resources policies,” Mediterranean Federation of Human Resources, 2012, http://www.fmrh.org/. View at: Google Scholar
  2. Evaluation of the Nutritional Status of the Tunisian Population, “National survey 1996/1997,” National Report, Ministry of Public Health, Tunisia. View at: Google Scholar
  3. C. Maraldi, S. Volpato, B. W. Penninx et al., “Diabetes mellitus, glycemic control, and incident depressive symptoms among 70- to 79-year-old persons: the health, aging, and body composition study,” Archives of Internal Medicine, vol. 167, no. 11, pp. 1137–1144, 2007. View at: Publisher Site | Google Scholar
  4. J. Dirmaier, B. Watzke, U. Koch et al., “Diabetes in primary care: prospective associations between depression, nonadherence and glycemic control,” Psychotherapy and Psychosomatics, vol. 79, no. 3, pp. 172–178, 2010. View at: Publisher Site | Google Scholar
  5. A. S. Rigaud, C. Bayle, F. Latour et al., “Psychiatry of the elderly,” EMC: Psychiatrie, vol. 2, no. 4, pp. 259–281, 2005. View at: Google Scholar
  6. C. Lloyd, “The impact of diabetes on depression and depression on diabetes,” Diabetesvoice, vol. 53, no. 1, pp. 23–26, 2008. View at: Google Scholar
  7. S. Baudic, L. Traykov, A. S. Rigaud, and P. Césaro, “Place and role of neuropsychological exam in elderly depression,” Revue de Medecine Interne, vol. 26, no. 8, pp. 637–642, 2005. View at: Publisher Site | Google Scholar
  8. R. Trouillet and M. C. Gély-Nargeot, “Depression of elderly persons and defence mechanisms in nursing homes,” Annales Medico-Psychologiques, vol. 167, no. 2, pp. 119–126, 2009. View at: Publisher Site | Google Scholar
  9. J. Y. Guo, C. C. Han, and Y. M. Liu, “A contemporary treatment approach to both diabetes and depression by cordyceps sinensis, Rich in Vanadium,” Evidence-Based Complementary and Alternative Medicine, vol. 7, no. 3, pp. 387–389, 2010. View at: Publisher Site | Google Scholar
  10. M. D. Pawaskar, R. T. Anderson, and R. Balkrishnan, “Self-reported predictors of depressive symptomatology in an elderly population with type 2 diabetes mellitus: a prospective cohort study,” Health and Quality of Life Outcomes, vol. 5, article 50, 2007. View at: Publisher Site | Google Scholar
  11. D. G. Bruce, W. A. Davis, S. E. Starkstein, and T. M. E. Davis, “A prospective study of depression and mortality in patients with type 2 diabetes: the fremantle diabetes study,” Diabetologia, vol. 48, no. 12, pp. 2532–2539, 2005. View at: Publisher Site | Google Scholar
  12. S. Hardy, M. Scanlan, and R. Gray, “Identifying and managing anxiety and depression in diabetes: a need for training,” Journal of Diabetes Nursing, vol. 14, no. 5, pp. 190–195, 2010. View at: Google Scholar
  13. E. H. B. Lin, C. M. Rutter, W. Katon et al., “Depression and advanced complications of diabetes: a prospective cohort study,” Diabetes Care, vol. 33, no. 2, pp. 264–269, 2010. View at: Publisher Site | Google Scholar
  14. J. P. Lépine, M. Godchau, P. Brun, and T. Lemperiere, “Assessment of anxiety and depression in patients hospitalized in a department of internal medicine,” Annales Medico-Psychologiques, vol. 143, no. 2, pp. 175–189, 1985. View at: Google Scholar
  15. T. H. Malasi, I. A. Mirza, and M. F. El-Islam, “Validation of the hospital anxiety and depression scale in arab patients,” Acta Psychiatrica Scandinavica, vol. 84, no. 4, pp. 323–326, 1991. View at: Google Scholar
  16. M. M. Collins, P. Corcoran, and I. J. Perry, “Anxiety and depression symptoms in patients with diabetes,” Diabetic Medicine, vol. 26, no. 2, pp. 153–161, 2009. View at: Publisher Site | Google Scholar
  17. D. G. Bruce, W. A. Davis, S. E. Starkstein, and T. M. E. Davis, “A prospective study of depression and mortality in patients with type 2 diabetes: the Fremantle Diabetes Study,” Diabetologia, vol. 48, no. 12, pp. 2532–2539, 2005. View at: Publisher Site | Google Scholar
  18. A. Engum, “The role of depression and anxiety in onset of diabetes in a large population-based study,” Journal of Psychosomatic Research, vol. 62, no. 1, pp. 31–38, 2007. View at: Publisher Site | Google Scholar
  19. L. C. Brown, S. R. Majumdar, S. C. Newman, and J. A. Johnson, “Type 2 diabetes does not increase risk of depression,” Canadian Medical Association Journal, vol. 175, no. 1, pp. 42–46, 2006. View at: Publisher Site | Google Scholar
  20. T. W. Strine, A. H. Mokdad, S. R. Dube et al., “The association of depression and anxiety with obesity and unhealthy behaviors among community-dwelling US adults,” General Hospital Psychiatry, vol. 30, no. 2, pp. 127–137, 2008. View at: Publisher Site | Google Scholar
  21. S. H. Golden, “A review of the evidence for a neuroendocrine link between stress, depression and diabetes mellitus,” Current Diabetes Reviews, vol. 3, no. 4, pp. 252–259, 2007. View at: Publisher Site | Google Scholar
  22. U. Ehlert, J. Gaab, and M. Heinrichs, “Psychoneuroendocrinological contributions to the etiology of depression, posttraumatic stress disorder, and stress-related bodily disorders: the role of the hypothalamus-pituitary-adrenal axis,” Biological Psychology, vol. 57, no. 1–3, pp. 141–152, 2001. View at: Publisher Site | Google Scholar
  23. S. R. Heckbert, C. M. Rutter, M. Oliver et al., “Depression in relation to long-term control of glycemia, blood pressure, and lipids in patients with diabetes,” Journal of General Internal Medicine, vol. 25, no. 6, pp. 524–529, 2010. View at: Publisher Site | Google Scholar
  24. L. E. Egede and C. Ellis, “The effects of depression on metabolic control and quality of life in indigent patients with type 2 diabetes,” Diabetes Technology and Therapeutics, vol. 12, no. 4, pp. 257–262, 2010. View at: Publisher Site | Google Scholar

Copyright © 2013 Jawaher Masmoudi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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