Table 5.
The association between burnout and prevalence of MetS by using logistic regression analysis stratified according to age and profession.
| Subgroup/profession | No. of Mets | % | Model 1 | Model 2 | Model 3 | Model 4 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | p-value | OR | 95% CI | p-value | OR | 95% CI | p-value | OR | 95% CI | p-value | |||
| 20–40 years and non-doctor/nurse (n = 363) | ||||||||||||||
| No-Burnout (336) | 41 | 12.25 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (27) | 7 | 25.00 | 2.83 | 0.85–9.48 | 0.09 | 2.52 | 0.73–8.70 | 0.14 | 1.96 | 0.49–7.79 | 0.34 | 1.86 | 0.39–8.85 | 0.43 |
| 20–40 years and doctor/nurse (n = 1,367) | ||||||||||||||
| No-Burnout (1,287) | 101 | 7.88 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (80) | 13 | 16.67 | 2.77 | 1.41–5.45 | 0.003 | 2.75 | 1.39–5.43 | 0.004 | 2.51 | 1.22–5.15 | 0.01 | 2.32 | 1.11–4.87 | 0.03 |
| 41–73 years and non-doctor/nurse (n = 689) | ||||||||||||||
| No-Burnout (648) | 252 | 38.83 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (41) | 15 | 37.84 | 0.85 | 0.38–1.88 | 0.68 | 0.88 | 0.39–1.97 | 0.75 | 0.89 | 0.39–2.05 | 0.79 | 0.87 | 0.37–2.03 | 0.75 |
| 41–73 years and doctor/nurse (n = 714) | ||||||||||||||
| No-Burnout (658) | 159 | 24.20 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (56) | 17 | 30.00 | 1.61 | 0.76–3.38 | 0.21 | 1.60 | 0.75–3.41 | 0.22 | 1.92 | 0.87–4.22 | 0.11 | 1.74 | 0.77–3.90 | 0.18 |
Model 1: Unadjusted.
Model 2: Adjusted for educational level.
Model 3: Adjusted for model 2 added seniority, working hours, and work style.
Model 4: Adjusted for model 3 added exercise, smoking, drink, fruit intake, vegetable intake, and sleep quality.