Research Article

Effects of a Health Promotion Program Based on a Train-the-Trainer Approach on Quality of Life and Mental Health of Long-Term Unemployed Persons

Table 1

Subject characteristics: demographic, social, and health behavior variables of the total sample, IG, and CG at baseline(1).

CharacteristicTotalIntervention groupControl group value(2)
(n = 287)(n = 179)(n = 108)

Demographic variables
Age (years)44.1 (10.8)43.1 (10.9)45.8 (10.4)0.0336
Gender female161 (56.1%)117 (65.4%)44 (40.7%)<0.0001
School years0.4637
 <10 years100 (35.2%)59 (33.0%)41 (39.1%)
 10-11 years84 (29.6%)57 (31.8%)27 (25.7%)
 ≥12 years100 (35.2%)63 (35.2%)37 (35.2%)

Social variables
Living in steady relationship101 (35.8%)62 (34.8%)39 (37.5%)0.6520
Duration of unemployment0.3504
 <5 years83 (29.6%)56 (31.6%)27 (26.2%)
 ≥5 years150 (53.6%)89 (50.3%)61 (59.2%)
 Never worked in Germany47 (16.8%)32 (18.1%)15 (14.6%)
Migration experience92 (32.1%)62 (34.6%)30 (27.8%)0.2277
Setting job center
(versus secondary labour market)
62 (21.6%)33 (18.4%)29 (26.9%)0.0933

Health-related quality of life (SF-12) and mental health (HADS) variables
PCS (SF-12)44.5 (10.0)45.0 (9.7)43.8 (10.3)0.3846
MCS (SF-12)43.2 (11.6)42.0 (11.5)45.1 (11.4)0.0273
Depression 
(HADS summary score)
6.5 (4.3)6.6 (4.4)6.3 (4.2)0.6087
Anxiety 
(HADS summary score)
7.5 (4.3)7.7 (4.3)7.0 (4.2)0.1833

Health status and health behavior variables
Body mass index (BMI)28.2 (6.5)27.9 (6.6)28.7 (6.2)0.1486
Physical activity high (at least three times/week)64 (22.9%)38 (21.7%)26 (25.0%)0.5279
Smoking behavior0.1342
 Smokers156 (55.5%)95 (53.7%)61 (58.7%)
 Never smoked86 (30.6%)61 (34.5%)25 (24.0%)
 Stopped smoking39 (13.9%)21 (11.9%)18 (17.3%)
Alcohol consumption
(AUDIT-C screening test)
0.5853
 No consumption 
  (♂: 0; ♀: 0)
97 (34.5%)65 (36.7%)32 (30.8%)
 Moderate consumption 
  (♂: 1–4; ♀: 1–3)
121 (43.1%)73 (41.2%)48 (46.2%)
 Risk-level consumption 
  (♂: ≥5; ♀: ≥4) 
63 (22.4%)39 (22.0%)24 (23.1%)

(1)Values are mean (SD) or number of observations (percentage).
(2)Mann-Whitney test or Chi2 test (categorical data).