Study of the mental health status of medical personnel dealing with new coronavirus pneumonia

Principal Investigator(s):  View help for Principal Investigator(s) ning sun, ningbo college of health sciences

Version:  View help for Version V1

Version Title:  View help for Version Title Study of the mental health status of medical personnel dealing with new coronavirus pneumonia

Name File Type Size Last Modified
all data.sav application/x-spss-sav 808.8 KB 05/07/2020 02:13:AM

File Citation: 

sun, ning. Study of the mental health status of medical personnel dealing with new coronavirus pneumonia: all data.sav. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-05-07. https://doi.org/10.3886/E119321V1-24267

To view the citation for the overall project, see http://doi.org/10.3886/E119321V1.

File Description

Summary:  View help for Summary This paper studied the relationship between personality traits and mental health conditions of medical personnel to provide a basis and reference for the implementation of targeted education on mental health. A self-report inventory, the Symptom Checklist-90 (SCL-90), was used to investigate the mental health status of 548 medical personnel dealing with the new coronavirus pneumonia in eight provinces and cities of China.The overall mean SCL-90 score and mean values of factors (somatization, obsessive-compulsive, anxiety, phobic anxiety, and psychoticism) of the medical personnel were significantly higher than in the norm group (p < 0.05), while their average interpersonal sensitivity score was significantly lower (p < 0.01). In addition, personal factors affecting the mental health status of medical personnel were identified. ( all p < 0.05). The overall mental health status of medical personnel responding to new coronavirus pneumonia is generally higher than that of the norm group in China. The results of this study should contribute to measures to alleviate the psychological pressures on medical personnel dealing with the new coronavirus epidemic in China.
Funding Sources:  View help for Funding Sources no (no)

Scope of File

Subject Terms:  View help for Subject Terms new coronavirus pneumonia; mental health; SCL-90
Geographic Coverage:  View help for Geographic Coverage China
Time Period(s):  View help for Time Period(s) 1/25/2020 – 2/16/2020
Collection Date(s):  View help for Collection Date(s) 1/25/2020 – 2/16/2020
Universe:  View help for Universe 560 medical personnel from 12 hospitals in eight provinces and cities across the country were enrolled as research subjects.
Data Type(s):  View help for Data Type(s) survey data
Collection Notes:  View help for Collection Notes The study used online questionnaires for data collection. Researchers conducted surveys upon the completion of general training. 

Methodology

Response Rate:  View help for Response Rate A total of 560 questionnaires were distributed, and 548 valid questionnaires were recovered, for an effective recovery rate of 97.90%.
Sampling:  View help for Sampling A total of 560 questionnaires were distributed, and 548 valid questionnaires were recovered
Data Source:  View help for Data Source These 548 questionnaires were completed by medical personnel from eight provinces and cities in China, namely Heilongjiang, Liaoning, Jilin, Inner Mongolia, Tianjin, Sichuan, Shanxi, and Shandong.
Collection Mode(s):  View help for Collection Mode(s) web-based survey
Scales:  View help for Scales ① Survey of demographic characteristics of medical personnel, including 18 questions related to the following aspects② The SCL-90 self-report inventory
Weights:  View help for Weights (1) In this study, data analysis was performed after logical checks using the statistical software SPSS 22.0. A p-value less than 0.05 (p < 0.05) was considered statistically significant.(2) Statistical description: The mean value, standard deviation, and frequency were used to describe the demographic data of medical personnel, while the mean value and standard deviation were used to describe the scores for the mental health status of medical personnel responding to COVID-19.(3) Statistical inference: Multivariate linear regression was adopted to analyze the impact of the demographic data of medical personnel on their mental health status. 
Unit(s) of Observation:  View help for Unit(s) of Observation Individuals
Geographic Unit:  View help for Geographic Unit The smallest geographic unit represented in the data that can be analyzed.

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Variable Count: 1303

Case Count: 548

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