Skip to main content
. 2020 May 26;15(5):e0233764. doi: 10.1371/journal.pone.0233764

Table 3. Multi-nomial logit regression model of latent class assignment on sociodemographic characteristics, duration of illness and recruitment setting.

N (%) Class 1 85 (34.0) Class 2 58 (23.2) Class 3 107 (42.8) RR1) Class 1 vs Class 3 (p) RR1) Class 2 vs Class 3 (p)
Age mean (SD) 48.5 (11.4) 45.5 (11.9) 45.7 (12.4) 1.03 (0.148) 0.99 (0.524)
Higher education n (%) 22 (25.9) 16 (27.6) 55 (51.4) 0.28 (0.003) 0.27 (0.006)
Monthly net household income above 3000€ n (%) 20 (23.5) 22 (37.9) 53 (49.5) 0.56 (0.170) 0.98 (0.964)
Living with partner n (%) 36 (42.4) 33 (56.9) 79 (73.8) 0.21 (0.009 0.35 (0.012)
Living with children n (%) 48 (56.5) 41 (70.7) 60 (56.1) 1.58 (0.296) 3.67 (0.005)
Unemployed n (%) 18 (21.2) 6 (10.3) 9 (8.4) 2.95 (0.045) 1.10 (0.871)
Blue collar worker n (%) 28 (32.9) 18 (31.0) 18 (16.8) 1.35 (0.492) 1.98 (0.136)
Duration of illness in years mean (SD) 13.5 (11.3) 12.1 (11.3) 9.6 (8.3) 1.05 (0.075) 1.01 (0.737)
Duration of untreated illness (DUI) in years mean (SD) 3.3 (5.8) 5.7 (8.7) 3.0 (5.3) 0.94 (0.150) 1.05 (0.219)
Recruitment setting
Psychiatric hospital n (%) 40 (47.6) 27 (46.6) 61 (57.0) Ref. Ref.
Psychosomatic hospital n (%) 14 (16.5) 13 (22.4) 18 (16.8) 4.43 (0.005) 3.68 (0.013)
Family doctor n (%) 2 (2.4) 1 (1.7) 3 (2.8) 2.09 (0.470) 1.32 (0.831)
Press invitation n (%) 29 (34.1) 17 (29.3) 25 (23.4) 3.64 (0.004) 3.06 (0.018)

1) Multi-nomial logit regression model with assignment to Class 3 as reference category.