Table 6.
Multinomial logistic regression analysis of factors associated with the clusters. Model 4: Eudaimonic (E) Performance supervisor (PS).
| (Cluster 1) | (Cluster 2) | (Cluster 3) | ||||
|---|---|---|---|---|---|---|
| 2 | 3 | 1 | 3 | 1 | 2 | |
| Predictors | OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) |
| Sector (0 service / 1 production) | 0.46 ** (0.26–0.81) | 0.57 * (0.34–0.94) | 2.18 ** (1.23–3.86) | 1.76 * (1.07–2.92) | ||
| Gender (0 female / 1 male) | 1.56 * (1.00–2.44) | 1.93 *** (1.30–2.86) | 0.64 * (0.41–1.00) | 0.52 *** (0.35–0.77) | ||
| Contract (0 temporary / 1 permanent) | 2.2 *** (1.46–3.31) | 2.06 ** (1.29–3.28) | 0.45 *** (0.30–0.69) | 0.48 ** (0.30–0.77) | ||
| Age | ||||||
| < 35 years | 0.72 * (0.54–0.96) | 1.39 * (1.04–1.86) | ||||
| 35-50 years | 0.68 ** (0.51–0.91) | 0.68 * (0.50–0.93) | 1.47 ** (1.10–1.95) | 1.46 * (1.07–2.00) | ||
| > 50 years | 1.66 * (1.07–2.58) | 0.6 * (0.39–0.94) | ||||
| Occupational category | ||||||
| Unqualified manual work | 1.89 * (1.11–3.20) | 2.63 *** (1.50–4.63) | 0.53 * (0.31–0.90) | 0.38 *** (0.22–0.67) | ||
| Technician or administrative | ||||||
| Highly qualified professional | ||||||
| Manager | 0.55 * (0.30–0.99) | 0.44 * (0.22–0.89) | 1.83 * (1.01–3.34) | 2.28 * (1.13–4.63) | ||
Reference cluster is in brackets; Cluster 1: h E- h PE; Cluster 2: h E-l PE; Cluster 3: l E-l PE; OR: odds ratio; CI: confidence interval; * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001.