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. 2022 Nov 22;17(11):e0267530. doi: 10.1371/journal.pone.0267530

Table 4. Association between burnout (OLBI) and various characteristics of the participants—bivariate analyses (not adjusted).

Variable Burnout frequencies* Odds ratio p **
n (%) [95% CI]
Gender (n = 1310)
    Male 94 (33%) 1.02 0.903
    Female 342 (33.4%) [0.77–1.35]
Race (n = 1313)
    White 279 (35.9%) 0.76 0.020
    Non -white 159 (29%.7) [0.60–0.96]
    Presence of diseases (n = 1305)
    No 331 (30.9%) 1.82 <0.001
    Yes 105 (44.9%) [1.36–2.43]
    Autonomy to decide behaviours at work (n = 1313)
    Low 132 (58.9%) 0.27 <0.001
    Moderate/High 306 (28.1%) [0.20–0.37]
    Perception of the educational organization of the residency programme (n = 1313)
    Inadequate 280 (50.2%) 0.26 <0.001
    Adequate 158 (20.9%) [0.21–0.34]
    Perception of adequacy of PPE availability (n = 1313)
    Low 140 (49.8%) 0.41 <0.001
    Moderate/High 298 (28.9%) [0.31–0.54]
    Weekly workload (n = 1313)
≤ 60 h 161 (29.8%) 1.32 0.021
> 60 h 277 (35.9%) [1.04–1.67]
    Activity outside the residency programme (n = 1313)
    No 291 (32.7%) 1.09 0.487
    Yes 147 (34.7%) [0.85–1.39]
    Direct provision of care to patients with COVID-19 (n = 1313)
    No 171 (32.7%) 1.05 0.679
    Yes 267 (33.8%) [0.83–1.33]
BRCS—Resilience (n = 1313)
    Moderate/High 93 (18.6%) 3.23 < 0.001
    Low 345 (42.4%) [2.48–4.20]

* OLBI score ≥ mean + 1 SD unit

** Significance level (p value) according to the chi-square test.