4.5 Article

Trajectories of mental health among UK university staff and postgraduate students during the pandemic

Related references

Note: Only part of the references are listed.
Review Clinical Neurology

A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020

Eric Robinson et al.

Summary: During the COVID-19 pandemic in 2020, there was an overall increase in mental health symptoms observed, which declined over time and returned to pre-pandemic levels by mid-2020 among most population sub-groups and symptom types.

JOURNAL OF AFFECTIVE DISORDERS (2022)

Article Public, Environmental & Occupational Health

Mental health among UK university staff and postgraduate students in the early stages of the COVID-19 pandemic

Ewan Carr et al.

Summary: The study found that around 20% of staff members and 30% of postgraduate research students at the UK university may have symptoms of depression or anxiety, with younger respondents under 25 being more significantly affected. Other factors associated with probable depression and anxiety included female gender, belonging to an ethnic minority group, caregiving responsibilities and shielding or isolating.

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2022)

Article Psychology, Clinical

Understanding different trajectories of mental health across the general population during the COVID-19 pandemic

Rob Saunders et al.

Summary: The study identified four trajectories of depression and five trajectories of anxiety. Factors such as age, gender, ethnicity, income, previous diagnoses, living situation, personality factors, and sociability were associated with different trajectory classes.

PSYCHOLOGICAL MEDICINE (2022)

Review Health Care Sciences & Services

Efficiency and Quality of Data Collection Among Public Mental Health Surveys Conducted During the COVID-19 Pandemic: Systematic Review

Yu-Hsuan Lin et al.

Summary: This systematic review focused on the efficiency and quality of data collection of 37 mental health surveys conducted during the COVID-19 pandemic. Despite the efficient data collection method, the studies had a high risk of bias and were generally of low quality for inclusion in a meta-analysis. Recommendations include avoiding selection bias and employing novel methodologies for forming national mental health policies.

JOURNAL OF MEDICAL INTERNET RESEARCH (2021)

Article Health Policy & Services

Social Determinants of Mental Health as Mediators and Moderators of the Mental Health Impacts of the COVID-19 Pandemic

Francesco Bernardini et al.

Summary: The impacts of the COVID-19 pandemic are significantly influenced by social determinants of health, particularly in terms of infection and mortality rates among minority and vulnerable populations. The economic repercussions of containment measures have had cascading effects that will impact mental health in the years to come.

PSYCHIATRIC SERVICES (2021)

Article Psychology, Biological

A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

Thomas Hale et al.

Summary: The Oxford COVID-19 Government Response Tracker (OxCGRT) records data on 19 different government COVID-19 policy indicators for over 190 countries. Covering closure and containment, health and economics measures, it creates an evidence base for effective responses.

NATURE HUMAN BEHAVIOUR (2021)

Article Psychiatry

Mental health responses to the COVID-19 pandemic: a latent class trajectory analysis using longitudinal UK data

Matthias Pierce et al.

Summary: The study analyzed data from the UK Household Longitudinal Study to track mental health trajectories during the COVID-19 pandemic. Most adults in the UK showed resilient or improved mental health, while around one in nine individuals experienced deteriorating or consistently poor mental health. Factors such as living in lockdown areas, financial difficulties, pre-existing conditions, and infection with SARS-CoV-2 were found to predict a subsequent deterioration in mental health and might benefit from early intervention.

LANCET PSYCHIATRY (2021)

Review Psychology, Clinical

Addressing the mental health impact of COVID-19 through population health

Matt Boden et al.

Summary: The COVID-19 pandemic has led to negative mental health outcomes globally, requiring a comprehensive approach that integrates clinical psychology, psychiatry, and other fields. Systematically assessing pandemic risk factors, mental health outcomes, and intervention strategies can help identify and address issues. Using non-traditional models and ongoing evaluation is crucial for expanding the reach of mental health interventions.

CLINICAL PSYCHOLOGY REVIEW (2021)

Review Immunology

COVID-19 pandemic and mental health consequences: Systematic review of the current evidence

Nina Vindegaard et al.

BRAIN BEHAVIOR AND IMMUNITY (2020)

Editorial Material Psychiatry

The scope of mental health research during the COVID-19 pandemic and its aftermath

Matthew Hotopf et al.

BRITISH JOURNAL OF PSYCHIATRY (2020)

Editorial Material Public, Environmental & Occupational Health

Challenges and opportunities for occupational health and safety after the COVID-19 lockdowns

Lode Godderis et al.

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2020)

Review Clinical Neurology

Impact of COVID-19 pandemic on mental health in the general population: A systematic review

Jiaqi Xiong et al.

JOURNAL OF AFFECTIVE DISORDERS (2020)

Article Mathematics, Interdisciplinary Applications

MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

Michael N. Hallquist et al.

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2018)

Article Mathematics, Interdisciplinary Applications

Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

Tihomir Asparouhov et al.

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2014)

Article Mathematics, Interdisciplinary Applications

Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study

Karen L. Nylund et al.

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2007)

Article Medicine, General & Internal

A brief measure for assessing generalized anxiety disorder -: The GAD-7

Robert L. Spitzer et al.

ARCHIVES OF INTERNAL MEDICINE (2006)

Article Biology

Testing the number of components in a normal mixture

YT Lo et al.

BIOMETRIKA (2001)

Article Health Care Sciences & Services

The PHQ-9 - Validity of a brief depression severity measure

K Kroenke et al.

JOURNAL OF GENERAL INTERNAL MEDICINE (2001)

Article Mathematics, Interdisciplinary Applications

The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models

Craig K. Enders et al.

STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL (2001)