Use of antidepressants in diabetes patients not using drugs, but only monitoring blood glucose

Abstract

Objective: Patients with diabetes have an increased Odds Ratio (OR) for depressive disor- der. We wanted to investigate if patients with metabolic syndrome and/or diabetes type 2 not treated with antidiabetic agents, have an OR for concurrent antidepressant use comparable to other types of diabetes. Methods: Drug delivery data from 25 pharmacies were analysed with respect to sale of antidepressants, oral antidiabetic agents, insulin and blood glucose test strips. Results: Total population of the area was 337,019, whereas 254,083 were 18 or older. Of these 20,139 were patients receiving insulin, oral antidiabetics, glucose test strips and/or antidepressants. Those receiving antidepressants were 5.8% of those 18 or older whereas 2.4% received any antidiabetic medication (including test strips for HBGM). For patients receiving no medications but test strips alone, the adjusted OR for use concurrent use of antidepressants was 1.62 (95% confidence interval: 1.19 - 2.23), p = 0.002. For insulin-only receiving patients, the adjusted OR was 1.65 (1.41 - 1.93), p = 0.000, whereas for patients receiving only oral antidiabetics, it was 1.53 (1.38 - 1.71), p = 0.000. Patients receiving both insulin and oral antidiabetics: 2.23 (1.75 - 2.85), p = 0.000. Conclusion: Patients receiving only blood glucose strips have an OR of concurrently receiving antidepressants, not different from those receiving insulin only or oral antidiabetics only.

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Hundal, Ø. , Biringer, E. , Losnegard, I. and Lund, A. (2012) Use of antidepressants in diabetes patients not using drugs, but only monitoring blood glucose. Journal of Diabetes Mellitus, 2, 234-237. doi: 10.4236/jdm.2012.22037.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Gavard, J., Lustman, P. and Clouse, R. (1993) Prevalence of depression in adults with diabetes: An epidemiological evaluation. Diabetes Care, 16, 1167-1178. doi:10.2337/diacare.16.8.1167
[2] Anderson, R., Freedland, K., Clouse, R. and Lustman, P. (2001) The prevalence of co-morbid depression in adults with diabetes. Diabetes Care, 24, 1069-1078. doi:10.2337/diacare.24.6.1069
[3] Barnard, K., Skinner, T. and Peveler, R. (2006) The prevalence of co-morbid depression in adults with type 1 diabetes: Systematic literature review. Diabetic Medicine, 23, 445-448. doi:10.1111/j.1464-5491.2006.01814.x
[4] Ali, S., Stone, M., Peters, J., Davies, M. and Khunti, K. (2006) The prevalence of co-morbid depression in adults with type 2 diabetes: A systematic review and metaanalysis. Diabetic Medicine, 23, 1165-1173. doi:10.1111/j.1464-5491.2006.01943.x
[5] Hundal, O. (2007) Major depressive disorder viewed as a dysfunction in astroglial bioenergetics. Medical Hypotheses, 68, 370-377. doi:10.1016/j.mehy.2006.06.050
[6] Golden, S., Lazo, M., Carnethon, M., Bertoni, A., Schreiner, P., Roux, A., Lee, H. and Lyketsos, C. (2008) Examining a bidirectional association between depressive symptoms and diabetes. Journal of the American Medical Association, 299, 2751-2759. doi:10.1001/jama.299.23.2751
[7] Kohen, I. and Lester, P. (2008) Exenatide-induced depression in a geriatric patient. International Journal of Geriatric Psychiatry, 23, 443-444. doi:10.1002/gps.1937
[8] Lawlor, D., Smith, G. and Ebrahim, S. (2003) Association of insulin resistance with depression: Cross sectional findings from the British women’s heart and health study. British Medical Journal, 327, 1383-1384. doi:10.1136/bmj.327.7428.1383
[9] Timonen, M., Laakso, M., Jokelainen, J., Rajala, U., Meyer-Rochow, V. and Keinanen-Kiukaanniemi, S. (2005) Insulin resistance and depression: Cross sectional study. British Medical Journal, 330, 17-18. doi:10.1136/bmj.38313.513310.F71
[10] Everson-Rose, S., Meyer, P., Powell, L., Pandey, D., Torréns, J., Kravitz, H., Bromberger, J. and Matthews, K. (2004) Depressive symptoms, insulin resistance, and risk of diabetes in women at midlife. Diabetes Care, 27, 2856-2862. doi:10.2337/diacare.27.12.2856
[11] Heiskanen, T., Niskanen, L., Hintikka, J., KoivumaaHonkanen, H., Honkalampi, K., Haatainen, K. and Viinamaki, H. (2006) Metabolic syndrome and depression: A cross-sectional analysis. Journal of Clinical Psychiatry, 67, 1422-1427. doi:10.4088/JCP.v67n0913
[12] Vogelzangs, N., Beekman, A., Boelhouwer, I., Bandinelli, S., Milaneschi, Y., Ferrucci, L. and Penninx, B. (2011) Metabolic depression: A chronic depressive subtype? Findings from the InCHIANTI study of older persons. Journal of Clinical Psychiatry, 72, 598-604. doi:10.4088/JCP.10m06559
[13] Goldbacher, E., Bromberger, J. and Matthews, K. (2009) Lifetime history of major depression predicts the development of the metabolic syndrome in middle-aged women. Psychosomatic Medicine, 71, 266-272. doi:10.1097/PSY.0b013e318197a4d5
[14] Lustman, P., Clouse, R., Ciechanowski, P., Hirsch, I. and Freedland, K. (2005) Depression-related hyperglycemia in type 1 diabetes: A mediational approach. Psychosomatic Medicine, 67, 195-199. doi:10.1097/01.psy.0000155670.88919.ad
[15] Skaff, M., Mullan, J., Hoffman, L., Mohr, D., Almeida, D., Masharani, U. and Fisher, L. (2009) Daily negative mood affects fasting glucose in type 2 diabetes. Health Psychology, 28, 265-272. doi:10.1037/a0014429
[16] Richardson, L., Egede, L., Mueller, M., Echols, C. and Gebregziabher, M. (2008) Longitudinal effects of depression on glycemic control in veterans with type 2 diabetes. General Hospital Psychiatry, 30, 509-514. doi:10.1016/j.genhosppsych.2008.07.001
[17] Grigsby, A., Anderson, R., Freedland, K., Clouse, R. and Lustman, P. (2002) Prevalence of anxiety in adults with diabetes: A systematic review. Journal of Psychosomatic Research, 53, 1053-1060. doi:10.1016/S0022-3999(02)00417-8
[18] Das-Munshi, J., Stewart, R., Ismail, K., Bebbington, P., Jenkins, R. and Prince, M. (2007) Diabetes, common mental disorders, and disability: Findings from the UK National Psychiatric Comorbidity Survey. Psychosomatic Medicine, 69, 543-550. doi:10.1097/PSY.0b013e3180cc3062
[19] Berkson, J. (1946) Limitations of the application of fourfold table analysis to hospital data. Biometric Bulletin, 2, 247-253. doi:10.2307/3002000

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