[The Frequency of Depression Diagnoses in Different Groups of Insured Persons - A Routine Data Analysis of the Years 2006 to 2015].

Depressive disorders are one of the most common type of mental disorders and are associated with a significant loss of social functioning and decrease in quality of life. While survey data from the Robert Koch-Institute show no increase in the prevalence of depression during recent years, data from social insurance agencies demonstrate an increasing social significance. Many people argue that changes in working conditions are a major reason for increasing depression diagnoses. Aim of the current study was to analyze the prevalence of depression diagnoses in health insurance data (administrative prevalence) for different types of insured persons and to examine the development over time with particular regard to working and non-working insured people. We conducted a cross-sectional analysis of administrative depression prevalence for the years 2006 to 2015 using F32 and F33 diagnoses. Analyses were stratified by sex and insured persons were grouped in (1.) employees, (2.) self-employed, (3.) spouses with insurance coverage as family member, (4.) pensioners, (5.) unemployed people receiving unemployment benefit I, (6.) people receiving unemployment benefit II and (7.) students and trainees. During the 10-year period, we found an increase in administrative prevalence from 12.0% in 2006 (women: 16.3%; men: 6.8%) to 16.3% in 2015 (women: 21.3%; men: 10.9%). In 2015, highest administrative prevalence rates were observed in people receiving unemployment benefit I or II and in pensioners. The lowest rates were found in students and trainees as well as self-employed. Employees had significantly lower administrative prevalence rates than people receiving unemployment benefit. We observed large increases in administrative prevalence over time in all groups of insured persons. The results highlight the increasing social significance of depressive disorders. A comparatively greater increase in the working population was not observed. A long-term health objective should be to further improve psychiatric care.