The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: A systematic review and meta-analysis

Peng, Pu; Hao, Yuzhu; Liu, Yueheng; Chen, Shubao; Wang, Yunfei; Yang, Qian; Wang, Xin; Li, Manyun; Wang, Yingying; He, Li; Wang, Qianjin; Ma, Yuejiao; He, Hanwei; Zhou, Yanan; Wu, Qiuxia; Liu, Tieqiao

doi:10.1016/j.jad.2022.10.040

Cited by 73 publications

(66 citation statements)

References 155 publications

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“…At each wave, the first part of the questionnaire was used to collect information about participants’ demographic characteristics, including age, gender, educational level and marital status. In the next part, some questions about personal and relatives’ experiences of COVID-19 infection were inserted (in order to describe participants’ exposure to the virus as well as to account for the relationship that these variables may have with the variables of the study, such as depression and fear of COVID-19) 46 . Finally, data about PFU (i.e., number of Facebook friends, social comparison orientation on Facebook, passive use of Facebook and FoMO), psychological distress (i.e., depressive symptoms and fear of COVID-19 pandemic) and well-being were collected.…”

Section: Methodsmentioning

confidence: 99%

A longitudinal investigation on problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic

Bonfanti

Salerno

Brugnera

et al. 2022

Sci Rep

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The social isolation and the subsequent, increased use of Social Networking Sites due to the COVID-19 pandemic have had an impact on subjective well-being around the world. The present longitudinal study examined whether changes in psychological distress and well-being during the Italian second wave of the pandemic differ among people with different levels of Problematic Facebook Use (PFU). A total of 493 participants (Mage = 24.55 ± 7.25; 80.3% females) completed measures of passive use of Facebook, social comparison orientation on Facebook, fear of missing out, psychological distress (depressive symptoms and fear of COVID-19 pandemic) and well-being across three waves. Latent class analysis (LCA) categorized participants into three groups with different PFU levels: healthy users, moderate PFU users, and high PFU users. Hierarchical linear modeling (HLM) showed that the between-person level (class membership) accounted for most of the variability in psychological distress and well-being. No significant changes were found in psychological distress and well-being over time, but the High PFU users showed greater levels of psychological distress and lower levels of well-being at each time point. The findings of this study suggest that the relationship between PFU, psychological distress and well-being may reflect trait-like time-invariant differences between individuals rather than state-like changes.

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Section: Methodsmentioning

confidence: 99%

A longitudinal investigation on problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic

Bonfanti

Salerno

Brugnera

et al. 2022

Sci Rep

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“…Moreover, these measures and their impact on daily life may increase the risk of developing depression among vulnerable populations, such as pregnant women ( 4 ). The impact of COVID-19 was reported in multiple vulnerable populations with elevated rates of mental health conditions, such as, pregnant women ( 5 , 6 ), health care workers ( 7 – 10 ), university students ( 11 , 12 ), elderly ( 13 ), children ( 14 ), and individuals with disability ( 15 ).…”

Section: Introductionmentioning

confidence: 99%

Maternal mental health during COVID-19 pandemic outbreak: A cross-sectional comparative study

Alenezi

Abdulghani

Shaiba

et al. 2023

Front. Public Health

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BackgroundAs COVID-19 spread in several countries, social distancing measures was implemented around the world, affecting the quality of lives for millions of people. The impact was more pronounced on vulnerable populations such as pregnant women, who are at even more risk due to their suppressed immune system. Moreover, mental health disorders are more common among pregnant women compared to non-pregnant. This study aims to assess the influence of social isolation measures due to the COVID-19 pandemic on the mental health of women in their third trimester and postpartum.Material and methodsThis is a cross-sectional survey-based study conducted in Khalid University Hospital, Riyadh, Saudi Arabia, between the months of April to May 2021, to explore depression and anxiety levels in females who gave birth during the COVID-19 pandemic. In addition to background demographic data, the survey included Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7) were utilized to detect symptoms of depression and anxiety, respectively.ResultsA total of 283 women were included in this study, almost half of them were ante-natal (n-141) and the rest were post-natal (n = 124). 62.3% were in the age groups of 25–35 years. Based on the PHQ-9 scoring, 65% of the study sample had depression (ranging from mild to severe). Moreover, based on GAD-7 scoring, 49.1% had anxiety (ranging from mild to severe). No association was found between PHQ-9 and GAD-7 scores and different sociodemographic and obstetric factors. Additionally, the mean scores of women infected with COVID-19 vs. women who has never been diagnosed with COVID-19 were closely comparable.ConclusionsWe reported a high prevalence of depression and anxiety among pregnant women during COVID-19 pandemic. Policymakers and health care providers are advised to implement targeted preventive measures for pregnant women to improve mental health in times of epidemics.

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“…However, we have not found a model that manages to explain suicidal ideation in such a high percentage as the model we propose. Systematic reviews and meta-analyses have found several factors associated with suicidal ideation, such as being female, alcohol use, having depression, being a junior or pre-clinical student, exposure to COVID-19, academic stress, history of psy-chiatric or physical disorders, financial problems, fear of educational deterioration, online learning problems, fear of infection, loneliness, low physical activity, low social support, problematic internet or smartphone use, and young age (Kaggwa et al, 2023;Peng et al, 2023). In contrast to these findings, our study found that when adjusting for different variables, anxious symptoms and family communication are the main risks and protective factors, respectively.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

An explanatory model of suicidal ideation based on family functionality and mental health problems: A cross-sectional study of medical students

Aguilar-Sigueñas

Villarreal-Zegarra

2022

Interacciones

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Background: One of the mental health problems with the greatest impact on people's lives is suicidal behavior, a largely preventable public health problem that accounts for almost half of all violent deaths. The aim of the study is to propose a model that can explain and predict suicidal ideation based on mental health problems (stress-anxiety-depression) and family functionality (cohesion, flexibility, and cohesion). Methods: Our study is cross-sectional. The population consisted of medical interns from all over Peru. Non-probability sampling was used. We used Family Cohesion and Adaptability Evaluation Scale (FACES-III), Family Communication Scale, Family Satisfaction Scale, Depression Anxiety and Stress Scales (DASS-21), and the Scale for Suicide Ideation – Worst (SSI-W). Results: A total of 480 participants were included. The prevalence of suicidal ideation was 39Poisson regression analysis adjusted identified that people with anxiety symptoms were more than four times more likely to have suicidal ideation (PR=4.89; 95% CI:1.90-12.64). Also, people with moderate to high levels of family communication were much less likely to have suicidal ideation (PR= 0.07; 95% CI: 0.01-0.41), making it a protective factor. The proposed model presented optimal goodness-of-fit indices (CFI=0.974; TLI=0.974; SRMR=0.055; RMSEA=0.062). In addition, the proposed model can explain the presence of suicidal ideation in 88.3% (R2=0.883). Conclusions: Our model can explain 88.3% of suicidal behavior based on family relationships and mental health problems in medical interns. In addition, the variables that alone were most associated with suicidal behavior were anxious symptoms and family communication as risk factors and protective factors, respectively.

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The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: A systematic review and meta-analysis

Cited by 73 publications

References 155 publications

A longitudinal investigation on problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic

A longitudinal investigation on problematic Facebook use, psychological distress and well-being during the second wave of COVID-19 pandemic

Maternal mental health during COVID-19 pandemic outbreak: A cross-sectional comparative study

An explanatory model of suicidal ideation based on family functionality and mental health problems: A cross-sectional study of medical students

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