Relationship between burnout and career choice regret among Chinese neurology postgraduates

BMC Medical Education

Table 4 Burnout with associated factors^a

Characteristics	Model 1^b		Model 2^c		Model 3^d
Characteristics	OR (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P
Gender
Male	0.74 (0.56–0.99)	0.04
Female	1 (Reference)				1 (Reference)
Scores of postgraduate entrance examination
< 300	0.81 (0.49–1.36)	0.43			0.68 (0.41–1.12)	0.13
300–330	1.60 (1.02–2.51)	0.04			1.40 (0.90–2.19)	0.14
330–360	1.09 (0.69–1.74)	0.71			0.98 (0.61–1.55)	0.92
> 360	1 (Reference)				1 (Reference)
Hours worked or studied per week (h)
< 35	0.47 (0.28–0.78)	< 0.01
35–45	0.60 (0.41–0.86)	< 0.01
45–55	0.58 (0.41–0.82)	< 0.01
> 55	1 (Reference)
Marital status
Married	0.56 (0.39–0.80)	< 0.01			0.50 (0.35–0.71)	< 0.01
Unmarried	1 (Reference)				1 (Reference)
Whether have children
Without	0.55 (0.40–0.77)	< 0.01			0.58 (0.42–0.82)	< 0.01
Have	1 (Reference)				1 (Reference)
Career choice regret
With			3.22 (2.42–4.29)	< 0.01	3.17 (2.33–4.32)	< 0.01
Neutral			2.13 (1.49–3.04)	< 0.01	2.97 (1.95–4.54)	< 0.01
Without			1 (Reference)		1 (Reference)

Abbreviations: CI = confidence interval, OR = odds ratio
^aOR < 1 indicates that it is a preventive factor of burnout, where as OR > 1 indicates that it is a risk factor of burnout
^bIn model 1, demographic characteristics was independent variables
^cIn model 2, career choice regret was the independent variables
^dIn model 3, both demographic variables and career choice regret were independent variables

ISSN: 1472-6920