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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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Lin JL, Chan HL, Du CC, Lin IN, Lai CW, Lin KT, Wu CP, Tseng YZ, Lien WP. Long-term beta-blocker therapy improves autonomic nervous regulation in advanced congestive heart failure: a longitudinal heart rate variability study. Am Heart J 1999; 137:658-65. [PMID: 10097226 DOI: 10.1016/s0002-8703(99)70219-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND beta-Blocker therapy is believed to modulate the detrimental effect of overcompensating neurohormonal activation in chronic heart failure. However, clinical doubts remain, particularly the physiologic sympathovagal balance. METHODS To respond to clinical concern about worsening autonomic nervous perturbation in beta-blocker therapy of advanced congestive heart failure, 15 consecutive patients were longitudinally studied to elucidate the evolution of cardiac function versus 24-hour heart rate variability (HRV) before and after 1, 3, and 6 to 9 months of atenolol-combined therapy. RESULTS Two patients died prematurely within 1 month. All 13 surviving patients showed improvement in New York Heart Association functional class, with decrease in left ventricular end-systolic and end-diastolic dimensions and increase in fraction shortening and ejection fraction by echocardiography after at least 3 months of atenolol use. The retarded therapeutic effect was accompanied by a general rise of total, very low, low-, and high-frequency components (9.0 +/- 0.5, 8.8 +/- 0.5, 6.2 +/- 0.6, and 6.1 +/- 0.5 vs 10.9 +/- 0.3, 10.7 +/- 0.4, 8.6 +/- 0.3, and 7.8 +/- 0.3; all P <.02) of daily HRV. This implied recovery of parasympathetic and baroreceptor function. Return of sympathovagal interaction was further supported by the suppression of Cheyne-Stokes type HRV as detected by Wigner-Ville distribution. CONCLUSIONS Long-term beta-blocker therapy for advanced congestive heart failure upwardly regulates the autonomic nervous interaction in synchrony with the evolution of cardiac function performance.
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Affiliation(s)
- J L Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
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