Table 4.
The association between burnout and prevalence of MetS by using logistic regression analysis stratified according to age and sex.
| Subgroup | 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 female (n = 1,541) | ||||||||||||||
| No-Burnout (1,454) | 115 | 7.89 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (87) | 18 | 20.51 | 3.04 | 1.58–5.85 | 0.001 | 2.93 | 1.52–5.68 | 0.001 | 2.45 | 1.22–4.92 | 0.01 | 2.34 | 1.14–4.80 | 0.02 |
| 20–40 years and male (n = 188) | ||||||||||||||
| No–Burnout (167) | 22 | 13.33 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (21) | 4 | 21.11 | 1.62 | 0.41–6.39 | 0.49 | 1.65 | 0.41–6.56 | 0.48 | 2.37 | 0.53–10.58 | 0.26 | 2.15 | 0.38–12.03 | 0.38 |
| 41–73 years and female (n = 1,260) | ||||||||||||||
| No–Burnout (1,170) | 352 | 30.10 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (90) | 32 | 35.80 | 1.30 | 0.74–2.28 | 0.36 | 1.37 | 0.77–2.44 | 0.29 | 1.33 | 0.74–2.40 | 0.34 | 1.25 | 0.69–2.29 | 0.46 |
| 41–73 years and male (n = 144) | ||||||||||||||
| No-Burnout (138) | 61 | 44.35 | 1 | – | – | 1 | – | – | 1 | – | – | 1 | – | – |
| Burnout (5) | 1 | 20.00 | 0.23 | 0.03–2.13 | 0.20 | 0.19 | 0.02–1.84 | 0.15 | 0.24 | 0.02–2.82 | 0.26 | 0.28 | 0.02–3.59 | 0.33 |
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.