Komorbidität von Diabetes mellitus und Depression in Deutschland

 

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Zusammenfassung

Ziel der Studie: Untersuchung der Komorbidität von Diabetes und Depression.

Methode: In einer bundesweiten Stichprobe Erwachsener (n = 43 312) wurden 19 diagnostizierte chronische Krankheiten und diagnostizierte Depression erfasst.

Ergebnisse: 12-Monats-Prävalenzen: diagnostizierter Diabetes 7,4 %, diagnostizierte Depression 6,7 %, deren Komorbidität 0,8 %. Eine Assoziation beider Erkrankungen lag bei Personen unter 50 und bei Frauen von 50 – 64 Jahren vor. Sie war abhängig von der Anzahl weiterer Erkrankungen.

Schlussfolgerung: Trotz niedriger Prävalenz der Komorbidität besteht Versorgungsrelevanz.

Abstract

Objective: To assess the comorbidity of diabetes and depression in the adult general population of Germany.

Methods: Data (n = 43 312) derived from the representative cross-sectional telephone survey „German Health Update (GEDA)”. Information about diagnosed chronic somatic diseases including diabetes and diagnosed depression was available for residents in private households. Age- and sex-specific adjusted logistic regressions were used to examine the association between diabetes and depression.

Results: 12-month prevalences: diagnosed diabetes 7.4 %, diagnosed depression 6.7 %, comorbidity of both 0.8 %. An association of diabetes and depression was found in people < 50 years and in women aged 50 – 64 years. This association was dependent on the number of additional chronic diseases.

Conclusion: Comorbidity of diabetes and depression was quite rare. Yet according to our results every 10^th adult with diagnosed diabetes gets a depression diagnosis and every 9^th adult with diagnosed depression has known diabetes. Underestimation for men and older adults due to diagnostic bias is possible. The combination of diabetes and depression is relevant for medical care because of its health burden.

• Literatur

• 1 Wagner G, Icks A, Albers B et al. Diabetes mellitus Typ 2 und Depressivität: Was ist ursächlich für was?. Dtsch Med Wochenschr 2012; 137: 523-528
  Article in Thieme ConnectPubMedGoogle Scholar
• 2 Rotella F, Mannucci E. Diabetes mellitus as a risk factor for depression. A meta-analysis of longitudinal studies. Diabetes Res Clin Pract 2013; 99: 98-104
  CrossrefPubMedGoogle Scholar
• 3 Roy T, Lloyd CE. Epidemiology of depression and diabetes: a systematic review. J Affect Disord 2012; 142 (Suppl. 01) 8-21
  CrossrefPubMedGoogle Scholar
• 4 Wagner G, Icks A, Redaelli M et al. Assoziation von Diabetes Typ 2 und Depressivität. Dtsch Med Wochenschr 2014; 139: 369-374
  Article in Thieme ConnectPubMedGoogle Scholar
• 5 de Groot M, Anderson R, Freedland KE et al. Association of depression and diabetes complications: a meta-analysis. Psychosom Med 2001; 63: 619-630
  CrossrefPubMedGoogle Scholar
• 6 Egede LE, Ellis C. Diabetes and depression: global perspectives. Diabetes Res Clin Pract 2010; 87: 302-312
  CrossrefPubMedGoogle Scholar
• 7 Park M, Katon WJ, Wolf FM. Depression and risk of mortality in individuals with diabetes: a meta-analysis and systematic review. Gen Hosp Psychiatry 2013; 35: 217-225
  CrossrefPubMedGoogle Scholar
• 8 Lehnert T, Konnopka A, Riedel-Heller S et al. Diabetes und komorbide Depression: Systematische Literaturübersicht gesundheitsökonomischer Studien. Psychiat Prax 2011; 38: 369-375
  Article in Thieme ConnectPubMedGoogle Scholar
• 9 Heidemann C, Du Y, Schubert I et al. Prävalenz und zeitliche Entwicklung des bekannten Diabetes mellitus: Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56: 668-677
  CrossrefPubMedGoogle Scholar
• 10 Busch MA, Maske UE, Ryl L et al. Prävalenz von depressiver Symptomatik und diagnostizierter Depression bei Erwachsenen in Deutschland. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56: 733-739
  CrossrefPubMedGoogle Scholar
• 11 Jacobi F, Höfler M, Strehle J et al. Psychische Störungen in der Allgemeinbevölkerung. Nervenarzt 2014; 85: 77-87
  CrossrefPubMedGoogle Scholar
• 12 Robert Koch-Institut (RKI). Daten und Fakten: Ergebnisse der Studie »Gesundheit in Deutschland aktuell 2009«. Berlin: RKI; 2011
  Google Scholar
• 13 Robert Koch-Institut (RKI). Daten und Fakten: Ergebnisse der Studie »Gesundheit in Deutschland aktuell 2010«. Berlin: RKI; 2012
  Google Scholar
• 14 Gabler S, Häder S Hrsg. Generierung von Telefonstichproben mit TelSuSaAufl. Mannheim: Zentrum für Umfragen, Methoden und Analysen (ZUMA); 1999
  Google Scholar
• 15 Fuchs J, Busch M, Lange C et al. Prevalence and patterns of morbidity among adults in Germany. Results of the German telephone health interview survey German Health Update (GEDA) 2009. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2012; 55: 576-586
  CrossrefPubMedGoogle Scholar
• 16 World Health Organisation (WHO). Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 2000; 894: i-xii, 1 – 253
  PubMedGoogle Scholar
• 17 European commission EUROSTAT and Partnership on Public Health Statistics Group HIS. European Heath Interview Survey EHIS Questionnaire. English version. 2006. Im Internet: http://ec.europa.eu/health/ph_information/implement/wp/systems/docs/ev_20070315_ehis_en.pdf (Stand: 24.02.2014)
  Google Scholar
• 18 Lampert T, Kroll LE, von der Lippe E et al. Sozioökonomischer Status und Gesundheit: Ergebnisse der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56: 814-821
  Google Scholar
• 19 Griffith LS, Field BJ, Lustman PJ. Life stress and social support in diabetes: association with glycemic control. Int J Psychiatry Med 1990; 20: 365-372
  CrossrefPubMedGoogle Scholar
• 20 Uchino BN, Cacioppo JT, Kiecolt-Glaser JK. The relationship between social support and physiological processes: a review with emphasis on underlying mechanisms and implications for health. Psychol Bull 1996; 119: 488-531
  CrossrefPubMedGoogle Scholar
• 21 Lampert T, Kroll LE, Muters S et al. Messung des soziookonomischen Status in der Studie „Gesundheit in Deutschland aktuell“ (GEDA). Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56: 131-143
  CrossrefPubMedGoogle Scholar
• 22 Dalgard OS, Dowrick C, Lehtinen V et al. Negative life events, social support and gender difference in depression: a multinational community survey with data from the ODIN study. Soc Psychiatry Psychiatr Epidemiol 2006; 41: 444-451
  CrossrefPubMedGoogle Scholar
• 23 Bush K, Kivlahan DR, McDonell MB et al. The AUDIT alcohol consumption questions (AUDIT-C): an effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Arch Intern Med 1998; 158: 1789-1795
  CrossrefPubMedGoogle Scholar
• 24 Schulze MB, Hoffmann K, Boeing H et al. An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes. Diabetes Care 2007; 30: 510-515
  CrossrefPubMedGoogle Scholar
• 25 Robert Koch-Institut (RKI) Hrsg. Diabetes mellitus. Berlin: RKI; 2005
  Google Scholar
• 26 Kivimäki M, Hamer M, Batty GD et al. Antidepressant medication use, weight gain, and risk of type 2 diabetes. A population-based study. Diabetes Care 2010; 33: 2611-2616
  CrossrefPubMedGoogle Scholar
• 27 Golden SH. A review of the evidence for a neuroendocrine link between stress, depression and diabetes mellitus. Curr Diabetes Rev 2007; 3: 252-259
  CrossrefPubMedGoogle Scholar
• 28 Renn BN, Feliciano L, Segal DL. The bidirectional relationship of depression and diabetes: a systematic review. Clin Psychol Rev 2011; 31: 1239-1246
  CrossrefPubMedGoogle Scholar
• 29 Höfler M, Wittchen H-U. Why do primary care doctors diagnose depression when diagnostic criteria are not met?. Int J Methods Psychiatr Res 2000; 9: 110-120
  CrossrefPubMedGoogle Scholar
• 30 Sielk M, Altiner A, Janssen B et al. Prävalenz und Diagnostik depressiver Störungen in der Allgemeinarztpraxis. Ein kritischer Vergleich zwischen PHQ-D und hausärztlicher Einschätzung. Psychiat Prax 2009; 36: 169-174
  Article in Thieme ConnectPubMedGoogle Scholar
• 31 Mitchell AJ, Vaze A, Rao S. Clinical diagnosis of depression in primary care: a meta-analysis. Lancet 2009; 374: 609-619
  CrossrefPubMedGoogle Scholar
• 32 Fiske A, Wetherell JL, Gatz M. Depression in older adults. Annu Rev Clin Psychol 2009; 5: 363-389
  CrossrefPubMedGoogle Scholar
• 33 Schomerus G, Matschinger H, Angermeyer MC. The stigma of psychiatric treatment and help-seeking intentions for depression. Eur Arch Psychiatry Clin Neurosci 2009; 259: 298-306
  CrossrefPubMedGoogle Scholar
• 34 Molenaar EA, Van Ameijden EJ, Grobbee DE et al. Comparison of routine care self-reported and biometrical data on hypertension and diabetes: results of the Utrecht Health Project. Eur J Public Health 2007; 17: 199-205
  CrossrefPubMedGoogle Scholar
• 35 Galdas PM, Cheater F, Marshall P. Men and health help-seeking behaviour: literature review. J Adv Nurs 2005; 49: 616-623
  CrossrefPubMedGoogle Scholar
• 36 Higashi T, Wenger NS, Adams JL et al. Relationship between number of medical conditions and quality of care. N Engl J Med 2007; 356: 2496-2504
  CrossrefPubMedGoogle Scholar
• 37 Huang CQ, Dong BR, Lu ZC et al. Chronic diseases and risk for depression in old age: a meta-analysis of published literature. Ageing Res Rev 2010; 9: 131-141
  CrossrefPubMedGoogle Scholar
• 38 Kessler RC, Birnbaum H, Bromet E et al. Age differences in major depression: results from the National Comorbidity Survey Replication (NCS-R). Psychol Med 2010; 40: 225-237
  CrossrefPubMedGoogle Scholar
• 39 van den Akker M, Buntinx F, Metsemakers JF et al. Multimorbidity in general practice: prevalence, incidence, and determinants of co-occurring chronic and recurrent diseases. J Clin Epidemiol 1998; 51: 367-375
  CrossrefPubMedGoogle Scholar
• 40 Maske UE, Busch AM, Jacobi F et al. Chronische somatische Erkrankungen und Beeinträchtigung der psychischen Gesundheit in Deutschland. Ergebnisse der bevölkerungsrepräsentativen Studie Gesundheit in Deutschland aktuell (GEDA) 2010. Psychiat Prax 2013; 40: 207-213
  Article in Thieme ConnectPubMedGoogle Scholar
• 41 Albers B, Kruse J, Giani G et al. Diabetes and incident depression: Is the association mediated or modified by sociodemographic factors or co-morbidities? A systematic review. Exp Clin Endocrinol Diabetes 2011; 119: 591-598
  Article in Thieme ConnectPubMedGoogle Scholar
• 42 Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 2009; 20: 488-495
  CrossrefPubMedGoogle Scholar
• 43 Behrends S, Kott K. Zuhause in Deutschland. Ausstattung und Wohnsituation privater Haushalte. Wiesbaden: Statistisches Bundesamt; 2009
  Google Scholar
• 44 Baumeister H, Hutter N, Bengel J. Psychological and pharmacological interventions for depression in patients with diabetes mellitus and depression. Cochrane Database Syst Rev 2012; 12 CD008381
  PubMedGoogle Scholar
• 45 Lehnert T, Konnopka A, Riedel-Heller S et al. Gesundheitsökonomische Aspekte psychischer Komorbidität bei somatischen Krankheiten. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2011; 54: 120-127
  CrossrefPubMedGoogle Scholar