Factors Influencing Mental Health Among Youth During the Covid-19 Lockdown
A Cross-Sectional Study in Bangladesh
Dados Bibliográficos
| ID | 22106932 |
|---|---|
| Autores | Al Muktadir Munam (0000-0003-2460-7694, Dalhousie University), Ahammad Hossain (0000-0001-9081-5905, Varendra University) |
| Ano | 2024 |
| Volume | 11 |
| Fascículo | 3 |
| Páginas | 4478-4487 |
| Data de publicação | 2024-06-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Identificadores do periódico | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Editora | Institute of Electrical and Electronics Engineers (IEEE) (PUBLISHER) |
| DOI | 10.1109/tcss.2024.3350087 |
| OpenAlex | W4391407110 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 40 |
The Coronavirus Disease of 2019 (COVID-19) pandemic has threatened the global economy, livelihoods, and physical and mental health since it began in 2019. This study aimed to examine how the COVID-19 pandemic affected the mental health of a representative sample of Bangladeshi youth and to identify the influencing factors. Through social media, 390 people were asked to participate in an online survey using the cross-sectional methodology. The chi-square test was used to examine the associations between the status of mental health and other variables. It was found that because of the lockdown, 59.3% and 21% of the participants were severely and moderately affected in terms of mental health, respectively. Poor mental health outcomes are strongly associated with family status, profession, marital status, avoiding shaking hands, cleaning and disinfecting objects and surfaces which are frequently used, knowledgeable community, impact on livelihood, food availability, routine behavior, impact on education, and impact on mental health. A multinomial logistic regression (MLR) model with 95% confidence interval (CI) with a p-value < 0.05 was used to determine the effect of explanatory variables on the adjusted odds ratio (AOR) of mental health status. The results of MLR showed that age, marital status, the risk of participants of their family members getting sick from COVID-19, impact on wages, physical and mental abuse, closed schools, etc., significantly predicted mental health outcomes. This study facilitated a deeper understanding of mental health during the COVID-19 outbreak
2019-20 coronavirus outbreak · Cross-sectional study · Disease · Environmental health · Mental health · Outbreak · Pandemic · Psychiatry · COVID-19 and Mental Health · COVID-19 Pandemic Impacts · Medicine · Psychology · Virology
The impact of Covid-19 pandemic on physical and mental health of Asians
Exercise and mental health
Sars Control and Psychological Effects of Quarantine, Toronto, Canada
A longitudinal study on the mental health of general population during the Covid-19 epidemic in China
Effect of Covid-19 on Health-Related Quality of Life in Adolescents and Children
Iranian mental health during the Covid-19 epidemic
The impact of Covid-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students
Avoidance behaviors and negative psychological responses in the general population in the initial stage of the H1N1 pandemic in Hong Kong
The psychological effects of quarantining a city
Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during Covid-19 pandemic
Factor Analysis as a Tool for Survey Analysis
nCoV epidemic
Multidisciplinary research priorities for the Covid-19 pandemic
Statistical power analyses using G*Power 3.1
The impact of Covid-19 on property crimes in developing countries
Socio-economic factors affecting the academic performance of private university students in Bangladesh
The impact of the UK National Minimum Wage on mental health
The Association Between Financial Hardship and Mental Health Difficulties Among Adult Wage Earners During the Covid-19 Pandemic in Bangladesh
Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (Covid-19) Epidemic among the General Population in China
Impact of the Covid-19 Pandemic on Psychiatric Admissions to a Large Swiss Emergency Department
Impact of the Covid-19 Pandemic on Mental Health and Quality of Life among Local Residents in Liaoning Province, China
Mental health and employment
Prevalence and Predisposing Factors of Suicidal Ideation Among the University Students in Bangladesh
Impact of Covid-19 pandemic on the mental health of children in Bangladesh
| Obras citantes distintas | 1 |
|---|---|
| Citações por ano | 1 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 1 |