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Lu WT, Hu PH, Li N, Wang L, Wang R, Wang Z, Song M, Zhao TY, Guo SJ, Huang FF, Liu BF, Ren RJ, Yang L, Lin Q, Xu YH, Jin N, Chen H, Gao YY, Wu ZF, Shi GY, Liu DP, Pan ZQ, Du CC, An CX, Wang XY. Estimated prevalence and sociodemographic correlates of mental disorders in medical students of Hebei Province, China: A cross-sectional study. World J Psychiatry 2023; 13:215-225. [PMID: 37303927 PMCID: PMC10251358 DOI: 10.5498/wjp.v13.i5.215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/05/2023] [Accepted: 04/17/2023] [Indexed: 05/19/2023] Open
Abstract
BACKGROUND In China, the identification rate and treatment rate of mental disorders are low, and there are few surveys on the prevalence of mental disorders among college students using diagnostic tools such as Mini-International Neuropsychiatric Interview (MINI), so the prevalence and treatment of mental disorders among college students are unclear.
AIM To estimate prevalence of mental disorders among medical students in Hebei Province, and provide guidance for improving their mental health.
METHODS This was a cross-sectional study based on an Internet-based survey. Three levels of medical students in Hebei Province were randomly selected (by cluster sampling) for screening. Using the information network assessment system, the subjects scanned the 2D code with their mobile phones, clicked to sign the informed consent, and answered a scale. A self-designed general status questionnaire was used to collect information about age, gender, ethnicity, grade, and origin of students. The MINI 5.0. was used to investigate mental disorders. Data analysis was performed with SPSS software. Statistically significant findings were determined using a two-tailed P value of 0.05.
RESULTS A total of 7117 subjects completed the survey between October 11 and November 7, 2021. The estimated prevalence of any mental disorders within 12 mo was 7.4%. Mood disorders were the most common category (4.3%), followed by anxiety disorders (3.9%); 15.0% had been to psychological counseling, while only 5.7% had been to a psychiatric consultation, and only 10% had received drug therapy in the past 12 mo.
CONCLUSION Although the estimated prevalence of mental disorders in medical students is lower than in the general population, the rate of adequate treatment is low. We determined that improving the mental health of medical students is an urgent matter.
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Affiliation(s)
- Wen-Ting Lu
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Pei-Hua Hu
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Na Li
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Lan Wang
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Hebei Technical Innovation Center, Mental Health Assessment and Intervention, Shijiazhuang 050031, Hebei Province, China
| | - Ran Wang
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Hebei Clinical Research Center of Mental Disorders, Institute of Mental Health, Shijiazhuang 050031, Hebei Province, China
| | - Zeng Wang
- Counseling and Mental Health Research Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Mei Song
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Tian-Yu Zhao
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Shi-Jie Guo
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Fan-Fan Huang
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Bu-Fan Liu
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Ruo-Jia Ren
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Li Yang
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Quan Lin
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Yue-Hang Xu
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Na Jin
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Huan Chen
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Yuan-Yuan Gao
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Zhi-Feng Wu
- Counseling and Mental Health Research Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Guang-Yu Shi
- Counseling and Mental Health Research Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
| | - Da-Peng Liu
- Hebei Saitron Information Technology Co., Ltd, Cangzhou 060000, Hebei Province, China
| | - Zhong-Qi Pan
- Hebei Saitron Information Technology Co., Ltd, Cangzhou 060000, Hebei Province, China
| | - Chun-Chao Du
- Hebei Saitron Information Technology Co., Ltd, Cangzhou 060000, Hebei Province, China
| | - Cui-Xia An
- Hebei Technical Innovation Center, Mental Health Assessment and Intervention, Shijiazhuang 050031, Hebei Province, China
- Hebei Clinical Research Center of Mental Disorders, Institute of Mental Health, Shijiazhuang 050031, Hebei Province, China
| | - Xue-Yi Wang
- Mental Health Center, Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Department of Psychiatry, The First Hospital of Hebei Medical University, Shijiazhuang 050031, Hebei Province, China
- Hebei Technical Innovation Center, Mental Health Assessment and Intervention, Shijiazhuang 050031, Hebei Province, China
- Hebei Clinical Research Center of Mental Disorders, Institute of Mental Health, Shijiazhuang 050031, Hebei Province, China
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Su BH, Hu PH, Peng CT, Tsai CH. Chronic lung disease in extremely low birth weight infants: a two-year retrospective analysis. Acta Paediatr Taiwan 2000; 41:75-9. [PMID: 10927943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
To determine the incidence and classification of chronic lung disease (CLD) in extremely low birth weight (ELBW) infants, a 2-year retrospective analysis was performed. From January 1997 to December 1998, 117 infants weighing less than 1000 g were enrolled. The survival rate beyond 28 days was 60.7% (71/117). CLD was defined as a supplemental oxygen requirement at 28 days of age, with symptoms of persistent respiratory distress and chest radiograph showing characteristic appearance. In addition to the common finding of CLD, infants with bronchopulmonary dysplasia (BPD) had history of respiratory distress syndrome (RDS), infants with Wilson-Mikity syndrome (WMS) had no RDS but had early appearance of bubbly lung on chest x-ray, and infants with chronic pulmonary insufficiency of prematurity (CPIP) had only hazy appearance on chest x-ray. The incidence of CLD in infants who survived beyond 28 days was 50.7% (36/71). Among the 36 infants with CLD, 17 (47%) had BPD, 4 (11%) had WMS and 15 (42%) had CPIP. The median (min, max) days of mechanical ventilation were 45 (9, 112), 45.5 (45, 50) and 7.5 (0, 40) days in BPD, WMS and CPIP groups, respectively. The median (min, max) days of oxygen requirement were 73 (28, 120), 149 (70, 211) and 52.5 (38, 90) days, respectively. The infants still requiring oxygen at post-conceptional age of 36 weeks are significantly more in BPD (14 (82.4%)) and in WMS (4 (100%)) than in CPIP (3 (20%)). Two (1 BPD, 1 WMS) were discharged and received oxygen therapy at home. Four infants with BPD died of respiratory failure. CLD includes a wide range of conditions, from BPD or WMS with severe respiratory morbidity and mortality to no residual problems. Such information is important for design of appropriate strategies to prevent CLD.
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Affiliation(s)
- B H Su
- Department of Pediatrics, China Medical College Hospital, Taichung, Taiwan
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