Figures & data
Table 1. General characteristics of survey respondents by gender.
Figure 2. Gender differences in Patient Health Questionnaire (PHQ-9), Epworth sleepiness scale (ESS), and Apgar wellness scores (AWS) according to residency years. (A) Gender differences in the PHQ-9 score. For depression symptoms, PHQ-9 is >10 points. (B) Gender differences in the ESS score. An ESS score of 11 suggests the presence of excessive sleepiness. (C) Gender differences in the AWS. Individuals with AWS <5 points need professional counselling for significant trouble or pain.
![Figure 2. Gender differences in Patient Health Questionnaire (PHQ-9), Epworth sleepiness scale (ESS), and Apgar wellness scores (AWS) according to residency years. (A) Gender differences in the PHQ-9 score. For depression symptoms, PHQ-9 is >10 points. (B) Gender differences in the ESS score. An ESS score of 11 suggests the presence of excessive sleepiness. (C) Gender differences in the AWS. Individuals with AWS <5 points need professional counselling for significant trouble or pain.](/cms/asset/99e8a30b-25a8-4dda-baec-8c24853646c0/iann_a_2053568_f0002_c.jpg)
Table 2. Logistic regression of predictors for depression among the survey participants.
Table 3. Depression, daytime sleepiness, and wellness scores in emergency medicine residents according to gender and residency training years.
Table 4. Risk factors associated with excessive daytime sleepiness among the emergency medicine residents.
Supplemental Material
Download MS Word (18.5 KB)Data availability statement
The data that support the findings of this study are available on request from the corresponding author, WY. The data are not publicly available because that could compromise the privacy of research participants.