| Literature DB >> 35581251 |
Lihong Chen1,2,3, Zhuo Zhao2, Zhen Wang4, Ying Zhou1, Xin Zhou5, Hui Pan5, Fengtao Shen1, Suhua Zeng1, Xinhua Shao3, Elena Frank2, Srijan Sen6,7, Weidong Li8, Margit Burmeister9,10.
Abstract
During their first year of medical residency (internship), 35% of training physicians in the United States suffer at least one depression episode. We assessed whether there is a similar increase of depression among first year residents in China, and identified predictors of depression in the two systems. 1006 residents across three cohorts (2016-2017, 2017-2018 and 2018-2019) at Shanghai Jiao Tong University and Peking Union Medical College were assessed in parallel with three cohorts of 7028 residents at 100 + US institutions. The Patient Health Questionnaire-9 (PHQ-9) depressive symptoms were measured at baseline and quarterly. Demographic, personal and residency factors were assessed as potential predictors of PHQ-9 depression scores. Similar to training interns in the US, the proportion of participants in China who met depression criteria at least once during the first year of residency increased substantially, from 9.1 to 35.1%. History of depression and symptoms at baseline were common factors significantly associated with depression during residency. By contrast, neuroticism, early family environment, female gender and not being coupled were associated with depression risk only in the US, while young age was a predictor of depression only in China. Fear of workplace violence also was a predictor in China. Long duty hours and reduced sleep duration emerged as training predictors of depression in both countries. The magnitude of depression increase and work-related drivers of depression were similar between China and the US, suggesting a need for effective system reforms in both systems.Entities:
Mesh:
Year: 2022 PMID: 35581251 PMCID: PMC9112267 DOI: 10.1038/s41598-022-12066-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Sample Demographic Characteristics at Baseline.
| Characteristic | Number (%) | ||
|---|---|---|---|
| China (n = 1006) | US (n = 7028) | China versus US | |
| Age, mean (SD), year | 25.0 ± 2.5 | 27.5 ± 2.6 | < 0.001 |
| Gender (female) | 670 (66.6) | 3662 (52.1) | < 0.001 |
| 0.44 | |||
| Internal medicine | 207 (20.7) | 1604 (22.8) | |
| General surgery | 189 (18.9) | 637 (9.1) | |
| Obstetrics/gynecology | 57 (5.7) | 457 (6.5) | |
| Pediatrics | 89 (8.9) | 941 (13.4) | |
| Psychiatry | 41 (4.1) | 456 (6.5) | |
| Emergency medicine | 21 (2.1) | 610 (8.7) | |
| Family medicine | 66 (6.6) | 539 (7.67) | |
| Others | 331 (33.1) | 1773 (25.3) | |
| Marital (coupled) | 187 (18.6) | 2709 (38.6) | < 0.001 |
| History of depression | 351 (34.9) | 3324 (47.3) | < 0.001 |
Number (%): frequency and percentage.
n total number, SD standard deviation, P value by t-test and chi-square test.
Figure 1Depression Rates of Residents in China (red) and the United States (blue). The PHQ depression rates of residents in each quarter is significantly higher than the baseline in both countries.
Baseline predictors of change in PHQ-9 score during residency (average across all 4 follow-ups) in China and the US.
| China | US | |||
|---|---|---|---|---|
| Pearson | Pearson | |||
| Age | 0.92 | |||
| Neuroticism | 0.26 | |||
| Early family environment | 0.78 | |||
| Baseline depressive symptoms | ||||
| Gender (female) | 0.04 | 0.29 | ||
| Marital status (coupled) | 0.07 | 0.08 | ||
| Personal history of depression | ||||
| Stressful life events | ||||
| Specialty | 0.08 | 0.76 | 0.02 | 0.88 |
| Fear of workplace violence | NA | NA | ||
Significant correlations are bolded. NA not available. All significant factors in the model are bolded.
GEE model of significant baseline and within residency predictors in China and the US.
| China | US | |||
|---|---|---|---|---|
| Age | ||||
| Gender (female) | 0.08 | 0.2924 | ||
| Marital status (coupled) | ||||
| Neuroticism | ||||
| Early family environment | ||||
| Baseline depressive symptoms | ||||
| Personal history of depression | ||||
| Work hours | ||||
| Sleep hours | ||||
| Medical errors | 0.17 | 0.13 | ||
| Stressful life events | ||||
| Fear of workplace violence | ||||
Empty space: these factors were not originally significant or not measured. All significant factors in the model are bolded.