scholarly journals Analysis of the mental health status and risk factors of the general population in Beijing, China: A cross-sectional study

2020 ◽  
Author(s):  
YUJIN XIE ◽  
Lei Shi ◽  
Ying Liu ◽  
Di Liu ◽  
Yang Jiao ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Statistical Analysis ◽  
Health Status ◽  
General Population ◽  
Chinese Population ◽  
Mental Health Status ◽  
Psychological Problems ◽  
Monthly Income ◽  
Cross Sectional

Abstract Background This study sought to understand the mental health status of Beijing’s general population, analyze the risk factors that affect it, and provide a scientific basis for promoting the physical and mental health of the general population. Methods A cross-sectional design was used. Overall sampling was used to select 6,364 people who had undergone a physical examination from January to December 2018 and volunteered to participate in an assessment of their mental health. We used the SCL-90 to establish the current normal mental health model of the general population in Beijing. After using the PEM System to export and automatically generate Excel files, SPSS 19.00 was utilized for statistical analysis. Descriptive statistical analysis methods were used to analyze the mental health status of the respondents and the mean and standard deviation of each factor. A t-test was used to compare the mental health of the general population in Beijing with the Chinese norm in 1986. Multiple linear regression analysis was used to explore the influencing factors of the mental health of the general population in Beijing. Results The average score of each factor of the SCL-90 in Beijing's general population was between 1.28 and 1.75, with no significant peaks. The scores of various factors in the general population in Beijing were relatively close, and their mental health remained stable. The analysis of the demographic variables of gender, education, age, marital status, and monthly income showed that monthly income ( β=-0.027, p<0.05) and gender ( β=-0.026,p<0.05) had significant effects on the SCL-90 score of the general population. Conclusion The mental health level of Beijing’s general population was lower than the Chinese norm in 1986. Male mental health problems were prominent and low-income people were prone to psychological problems. It is imperative to strengthen the construction of a mental health service system and standardized management among the Chinese population. Strengthening the popularization of mental health knowledge, guiding the Chinese population to cultivate a positive attitude, preventing bad attitudes, encouraging the use of scientific methods to deal with psychological behavioral problems, and early targeted measures can reduce the occurrence of serious psychological problems.

scholarly journals Analysis of the mental health status and risk factors of the general population in Beijing, China: A cross-sectional study

2020 ◽  
Author(s):  
YUJIN XIE ◽  
Lei Shi ◽  
Liu Ying ◽  
Di Liu ◽  
Jiao Yang ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Statistical Analysis ◽  
Health Status ◽  
General Population ◽  
Chinese Population ◽  
Mental Health Status ◽  
Psychological Problems ◽  
Monthly Income ◽  
Cross Sectional

Abstract Background: This study sought to understand the mental health status of Beijing’s general population, analyze the risk factors that affect it, and provide a scientific basis for promoting the physical and mental health of the general population.Methods: A cross-sectional design was used. Overall sampling was used to select 6,364 people who had undergone a physical examination from January to December 2018 and volunteered to participate in an assessment of their mental health. We used the SCL-90 to establish the current normal mental health model of the general population in Beijing. After using the PEM System to export and automatically generate Excel files, SPSS 19.00 was utilized for statistical analysis. Descriptive statistical analysis methods were used to analyze the mental health status of the respondents and the mean and standard deviation of each factor. A t-test was used to compare the mental health of the general population in Beijing with the Chinese norm in 1986. Multiple linear regression analysis was used to explore the influencing factors of the mental health of the general population in Beijing.Results: The average score of each factor of the SCL-90 in Beijing's general population was between 1.28 and 1.75, with no significant peaks. The scores of various factors in the general population in Beijing were relatively close, and their mental health remained stable. The analysis of the demographic variables of gender, education, age, marital status, and monthly income showed that monthly income (β=-0.027, p<0.05) and gender (β=-0.026, p<0.05) had significant effects on the SCL-90 score of the general population.Conclusion: The mental health level of Beijing’s general population was lower than the Chinese norm in 1986. Male mental health problems were prominent and low-income people were prone to psychological problems. It is imperative to strengthen the construction of a mental health service system and standardized management among the Chinese population. Strengthening the popularization of mental health knowledge, guiding the Chinese population to cultivate a positive attitude, preventing bad attitudes, encouraging the use of scientific methods to deal with psychological behavioral problems, and early targeted measures can reduce the occurrence of serious psychological problems.

scholarly journals Assessing depression, anxiety, stress and psychological impact of Covid-19 on general population of Karachi; A web survey based cross-sectional study

2021 ◽  
pp. 16-24
Author(s):  
Kanwal Jamal ◽  
Muhammad Waqaruddin Sheroze ◽  
Rabisa Batool ◽  
Syeda Rida Tariq ◽  
Syedah Kanza Batool ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Status ◽  
General Population ◽  
Psychological Impact ◽  
Cross Sectional Study ◽  
Mental Health Status ◽  
Web Survey ◽  
Sectional Study ◽  
Cross Sectional ◽  
First Case

Introduction: An outbreak of pneumonia was observed in December, 2019 China which was named as Covid-19 (Corona virus disease 19) by WHO. The first case of Covid-19 appeared in Pakistan on Feb 26, 2020. Pakistan has responded well to the cause and had taken timely decisions. During Covid-19 depression, anxiety, sleep disturbances have been revealed among population of various countries. This study was carried out to determine the mental health status of general population in Karachi during Covid-19 pandemic. Materials and Methods: This was a web survey based cross sectional study. The data was collected through a self-administrated questionnaire which was developed on Google forms. The questionnaire collected information regarding participants demographics, their knowledge about Covid-19, their attitude and practices towards it and the last part was used to assess psychological impact and mental health status of the participants using IES-R (Impact of event revised) score and DASS-21 (Depression, anxiety and stress score). Multivariate analysis of variance (MANOVA) and independent t-test were used as tests of significance. Results: Majority 229(76.3%) of the participants were aged between 15-25 years. Social media was the main medium through which people 124(41.3%) learned about Covid-19. Evaluation of knowledge regarding Covid-19 infection showed that majority correctly knew about transmission sources and sign/symptoms of Covid-19 infection. Analysis revealed that majority of the people 167(55.7%) had normal depression subscale score (0-9), 196(65.3%) had anxiety scores within normal range and 198(66%) did not report stress and had normal scores. While assessing the psychological impact of Covid-19 we found that 221(73.7%) had normal IES-R score and had mild impact of Covid-19. Conclusion: Our study showed that people of Karachi were well aware about Covid-19. Majority of respondents did not report depression, anxiety, stress and serious impact of Covid-19 on their lives showing their optimism and great will to fight against the pandemic. Keywords: COVID-19, Psychological impact; Mental health.

scholarly journals Risk factors and protective factors of mental health during COVID-19 outbreak and lockdown in adult Indian population- A cross-sectional study

2020 ◽  
Author(s):  
Jayakumar Saikarthik ◽  
Ilango Saraswathi ◽  
Thirusangu Siva
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Status ◽  
Online Survey ◽  
Indian Population ◽  
Health Workers ◽  
Female Gender ◽  
Mental Health Status ◽  
Mild Depression ◽  
Cross Sectional

AbstractBackgroundThe novel Corona virus has derailed the entire world and various steps have been taken by the health authorities to tackle this pandemic. Nationwide lockdown has been imposed to control the spread of COVID-19 outbreak in India, which could have psychological impact on the population.AimOur study aims to study the effect of the COVID-19 outbreak & subsequent lockdown on mental health status of adult Indian population along with identifying the high-risk groups.MethodologyAn online survey was conducted during 3rd phase of lockdown gathering details about sociodemographic variables, practice of precautionary measures, awareness and concerns regarding COVID-19 and mental health status of the participants through DASS21 questionnaire from 873 adults.ResultsThe prevalence of depression, anxiety and stress were 18.56%, 25.66%, and 21.99% respectively including higher number of participants with mild depression (15.1%) and stress (14.5%) and moderate anxiety (16.3%). Female gender, age <25 years, unemployment, self-business, employed in private sector, lack of formal education, larger household size, parenthood (>2 kids) were associated with increased likelihood of negative mental health. Confidence in physician’s ability to diagnose COVID-19 infection, decreased self-perceived likelihood of contracting COVID-19, lesser frequency of checking for information on COVID-19 and satisfaction of information received were protective against negative mental health.ConclusionThis landmark study identified the protective and risk factors of mental health during COVID-19 pandemic, to help authorities and mental health workers to strategize and deliver interventional methods to maintain psychosocial wellbeing of the population.

Social support and mental health status of internal migrants in Beijing

2020 ◽  
Vol 48 (4) ◽  
pp. 1-16
Author(s):  
Ying Zhou ◽  
Jianhua Wang
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Marital Status ◽  
Rating Scale ◽  
Mental Health Disorder ◽  
Mental Health Status ◽  
Self Report ◽  
Monthly Income ◽  
Internal Migrants

We investigated the mental health status of 320 internal migrants in Beijing according to gender, age, marital status, and monthly income, and examined the relationship between their mental health status and social support mechanisms. Participants completed the self-report Symptom Checklist-90-R and Social Support Rating Scale. Results showed that their mental health was significantly worse than the Chinese adult norm as assessed in 2017. Participants' social support varied according to age, marital status, and monthly income. Female participants younger than 30 years old with a monthly income lower than 3,000 yuan comprised the group with the most mental health disorder symptoms. They thus required greater personal attention to their health. The results suggested that social support can predict mental health among internal migrants. Directions for further research are discussed.

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