Table 2.
Factors associated with three types of burnout: univariable models
| Personal burnouta | Work-related burnouta | Patient-related burnouta | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Estimate | SE | P | Estimate | SE | P | Estimate | SE | P | |
| Individual factor | |||||||||
| Female | 5.20 (0.54, 9.87) | 2.37 | 0.029 | 1.27 (−2.77, 5.31) | 2.05 | 0.537 | 1.00 (−3.09, 5.09) | 2.08 | 0.630 |
| Age, years | |||||||||
| 37 - vs. < 37 | 1.82 (−2.29, 5.93) | 2.09 | 0.385 | 1.89 (−1.65, 5.42) | 1.80 | 0.294 | 5.30 (1.75, 8.84) | 1.80 | 0.004 |
| Doctor of Medical Science | 1.94 (−2.61, 6.49) | 2.31 | 0.400 | 0.43 (−3.49, 4.34) | 1.99 | 0.831 | 1.98 (−1.98, 5.94) | 2.02 | 0.330 |
| Board certified specialist | −2.30 (−9.60, 5.01) | 3.72 | 0.540 | 2.76 (−3.55, 9.06) | 3.21 | 0.300 | −0.74 (−7.12, 5.63) | 3.24 | 0.820 |
| Specialty vs. Public Health or Basic medicine | 0.556 | 0.442 | 0.378 | ||||||
| Surgery | 4.51 (−1.94, 10.96) | 3.28 | 0.170 | 3.92 (−1.63, 9.46) | 2.82 | 0.166 | 3.13 (−2.48, 8.74) | 2.86 | 0.274 |
| Internal Medicine | 4.23 (−2.23, 10.69) | 3.29 | 0.199 | 3.90 (−1.65,9.46) | 2.83 | 0.168 | 4.01 (−1.62, 9.63) | 2.86 | 0.162 |
| Other clinical departments | 3.06 (−5.48, 11.59) | 4.34 | 0.481 | 5.44 (−1.90,12.78) | 3.73 | 0.146 | 6.25 (−1.18, 13.68) | 3.78 | 0.100 |
| Married | −2.96 (−8.84, 2.92) | 2.99 | 0.320 | −4.78 (−9.82, 0.27) | 2.57 | 0.064 | −1.90 (−7.03, 3.23) | 2.61 | 0.470 |
| Amount of Grant-in-Aid for Young Scientists ×100 US$(1$ = 100JPY) | |||||||||
| 377 - vs. < 377 | −1.77 (−5.85, 2.31) | 2.07 | 0.395 | −2.59 (−6.10, 0.91) | 1.78 | 0.147 | −3.20 (−6.74, 0.35) | 1.80 | 0.077 |
| Research type vs. social sciences in medicine/others | 0.735 | 0.162 | 0.417 | ||||||
| Basic medicine | 3.42 (−5.36,12.22) | 4.47 | 0.443 | 6.78 (−0.78, 14.33) | 3.84 | 0.079 | 3.89 (−3.80, 11.59) | 3.92 | 0.321 |
| Clinical medicine | 2.73 (−6.18, 11.64) | 4.53 | 0.547 | 4.73 (−2.93, 12.40) | 3.90 | 0.225 | 1.88 (−5.92, 9.69) | 3.97 | 0.635 |
| Average of weekly working hours | 0.05 (−0.06, 0.17) | 0.06 | 0.370 | 0.11 (0.01, 0.20) | 0.05 | 0.037 | 0.01 (−0.09, 0.11) | 0.05 | 0.860 |
| Household income US$(1$ = 100JPY) vs. < 100,000 | 0.704 | 0.236 | 0.835 | ||||||
| ≥ 200,000 | −3.23 (−10.77, 4.30) | 3.83 | 0.399 | −5.09 (−11.59, 1.40) | 3.31 | 0.124 | 0.44 (−6.19, 7.06) | 3.37 | 0.897 |
| 150,000-200,000 | −2.21 (−8.88, 4.46) | 3.39 | 0.515 | −5.85 (11.61, −0.09) | 2.93 | 0.046 | −0.40 (−6.27, 5.47) | 2.99 | 0.893 |
| 100,000–150,000 | −3.58 (−9.74, 2.58) | 3.13 | 0.253 | −4.53 (−9.84, 0.79) | 2.70 | 0.095 | −1.67 (−7.09, 3.74) | 2.75 | 0.544 |
| Mentor | −6.89 (−10.97, −2.81) | 2.08 | 0.001 | −6.72 (−10.21, −3.22) | 1.78 | 0.000 | −5.40 (−8.95, − 1.85) | 1.81 | 0.003 |
| Workplace Resourcesb | |||||||||
| Organizational climatec | −0.82 (− 1.57, − 0.08) | 0.38 | 0.031 | − 0.89 (− 1.53, − 0.25) | 0.32 | 0.007 | −0.74 (− 1.40, − 0.08) | 0.33 | 0.028 |
| Well-Being consultation servicesd | − 1.10 (− 1.72, − 0.48) | 0.31 | 0.001 | −1.08 (− 1.61, − 0.55) | 0.27 | <.0001 | −0.61 (− 1.15, − 0.06) | 0.28 | 0.030 |
| A role modele | −7.06 (− 11.16, − 2.30) | 2.08 | 0.001 | −5.82 (− 9.35, − 2.29) | 1.80 | 0.001 | − 4.54 (− 8.14, − 0.94) | 1.83 | 0.014 |
aEach item was answered using a five-point Likert scale scoring: Always for 100, Often for 75, Sometimes for 50, Seldom for 25, and Never/almost never for 0. Total score on the scale is the average of the scores on the items (i.e., total score of each subscale is 100). bWorkplace Resources was asked starting with “Does your workplace have the following conditions....?” and response patterns were based on a five point Likert scale from ‘strongly disagree’ to ‘strongly agree.’ cOrganizational climate includes the presence of actions to promote gender equity and presence of career education. dWell-being consultation services measures if the workplace has an expert or a division for consultation on “career and work”, “research”, “harassment”, and/or “mental health”. eThe item measures if the workplace has a role model who can keep a perceived good balance of career and personal life and divided into a binary variable (agree vs. either “do not know” or “disagree”).