Table 1 Baseline characteristics of analytic sample.

From: Identifying potential mechanisms between childhood trauma and the psychological response to the COVID‐19 pandemic in Germany: a longitudinal study

 

Descriptive statistics

Sample size, n

391

Age, mean (SD)

30.99 (11.52)

Women sex, n (%)

303 (77.49)

Employment statusa, n (%)

Full-time employed

88 (22.51)

Part-time employed

63 (16.11)

Self-employed

14 (3.58)

Student

185 (47.31)

Retired

7 (1.79)

Caregiver

0 (0)

Not employed

11 (2.81)

Other

23 (5.88)

Freely disposable money per month, n (%)

 < 100 €

28 (7.16)

100–250 €

84 (21.48)

250–500 €

111 (28.39)

500–1000 €

85 (21.74)

 > 1000 €

83 (21.23)

Educational attainment, n (%)

Primary school

0 (0)

Secondary school

39 (9.97)

A-levels

352 (90.03)

Self-reported lifetime diagnoses, n (%)

Number of diagnoses

 0

261 (66.75)

 1

73 (18.67)

 2

40 (10.23)

 3

13 (3.32)

 ≥ 4

4 (1.02)

Diagnostic categories

Depressive disorders

90 (23.02)

Bipolar disorders

3 (0.77)

Psychotic disorders

0 (0)

Anxiety disorders

45 (11.51)

Post-traumatic stress disorder

22 (5.63)

Obsessive–compulsive and related disorders

7 (1.79)

Eating disorders

18 (4.60)

Substance-related and addictive disorders

4 (1.02)

Attention-Deficit/hyperactivity disorder

9 (2.30)

Somatoform disorders

2 (0.51)

Personality disorders

9 (2.30)

Autism spectrum disorder

3 (0.77)

Dementia

0 (0)

  1. aEmployment status was assessed in forced choice format, so participants had to indicate the option they identified with most.