Table 2. Specificity and severity of the disorder.
| Level of severity | ||||
| Mild | Moderate | Severe | Nonspecific | |
| Sex | ||||
| All | 16.1% | 30.3% | 16.2% | 37.5% |
| Males (n = 93,190) | 15.8% | 29.9% | 16.9% | 37.3% |
| Females (n = 192,378) | 16.2% | 30.4% | 15.8% | 37.6% |
| Age group | ||||
| 18–29 Years (n = 22,200) | 14.2% | 34.0% | 17.6% | 34.2% |
| 30–39 Years (n = 26,808) | 14.3% | 33.3% | 16.7% | 35.7% |
| 40–49 Years (n = 40,628) | 14.3% | 33.0% | 18.5% | 34.2% |
| 50–59 Years (n = 64,928) | 14.6% | 32.5% | 19.0% | 34.0% |
| 60–69 Years (n = 53,824) | 17.0% | 29.5% | 15.6% | 38.0% |
| 70–79 Years (n = 42,532) | 19.2% | 25.9% | 12.8% | 42.2% |
| 80–89 Years (n = 30,462) | 18.3% | 25.2% | 11.9% | 44.6% |
| ≥ 90 Years (n = 4186) | 16.7% | 22.8% | 11.0% | 49.5% |
The table subdivides the patient population (n = 285,568) according to level of severity of the depressive disorder. This subdivision additionally differentiates between sex and age groups. Patients were assigned to the highest-coded level of severity in the year of the analysis, 2018. If the same patient was coded with both specific and nonspecific diagnoses, the specific diagnosis was used as the basis for the classification. The data basis consists of diagnoses in the outpatient medical sector as well as the inpatient care sector.