In a survey carried out in March 2020, 51 percent of young people in the United Kingdom (UK) reported that the current coronavirus (COVID-19) pandemic and the resulting public health measures have made their mental health a bit worse. Furthermore, 32 percent say the impact of the coronavirus crisis has made their mental health much worse, while only seven percent state that their mental health has improved in this time. The number of current coronavirus cases in the UK can be found here. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

According to a survey carried out in the UK in May 2020, it was found that 34 percent of respondents reported that the coronavirus pandemic has has a somewhat negative impact on their mental health. A further seven percent of respondents said the pandemic has had a very negative impact on their mental health, although 46 percent reported no impact.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Impact of the coronavirus (COVID-19) pandemic on young people and schools, including analysis of face coverings and remote learning, and breakdowns by age and sex where possible. Indicators from the Schools Infection Survey.

Context

Mental Health Services Monthly Statistics

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series.

• COVID-19 and the production of statistics

Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period.

Content

Time period covered Feb 1, 2020 - April 31, 2020

Area covered England

Acknowledgements

reference: Mental Health Services Monthly Statistics

Author: Community and Mental Health Team, NHS Digital
Responsible Statistician: Tom Poupart, Principal Information Analyst
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Cover by-

Inspiration

This dataset is to solve the challenge- UNCOVER COVID-19 Challenge, United Network for COVID Data Exploration and Research. This data is scraped in hopes of solving the task - Mental health impact and support services.

Task Details Can we predict changes in demand for mental health services and how can we ensure access? (by region, social/economic/demographic factors, etc). Are there signs of shifts in mental health challenges across demographies, whether improvements or declines, as a result of COVID-19 and the various measures implement to contain the pandemic?

Anxiety and depression are the most prevalent classes of mental illnesses; rates of anxiety and depression have been exacerbated due to the COVID-19 pandemic. Vulnerability to anxiety and depression are affected by risk and resilience factors, such as personality constructs. Recent research (e.g., Lyon et al, 2020; 2021) suggests that, out of all 30 NEO-PI-R personality constructs, variance in anxiety and depression are explained by a small number of personality constructs. However it is unclear which mechanisms mediate the relationship between these personality constructs and anxiety and depression. The purpose of this study was to investigate the mediating effect of emotion regulation strategies on the relationship between personality constructs and COVID-related anxiety and depression. Data were collected from a sample of 210 students at the University of Manchester. Measures included a select number of narrow Big Five personality facets which explain variance in anxiety and depression (facets depression, assertiveness, gregariousness, positive emotion and competence), select COPE Inventory strategies associated with coping with pandemics, and COVID-related anxiety and depression. Measures of COPE strategies and mental health were adapted to refer to coping and mental health in response to COVID pandemic.

Ongoing concern for the unique mental health challenges faced by university students has been magnified by the disruption of the global COVID-19 pandemic since March 2020. This study aimed to investigate changes in mental health and wellbeing outcomes for UK university students since the pandemic began, and to examine whether more vulnerable groups were disproportionately impacted. Students at a UK university responded to anonymous online cross-sectional surveys in 2019 (N = 2637), 2020 (N = 3693), and 2021 (N = 2772). Students completed measures of depression, anxiety and subjective wellbeing (SWB). Multivariable logistic regression models investigated associations of survey year and sociodemographic characteristics with mental health and SWB. Compared to 2019, fewer students showed high levels of depression and anxiety symptoms in 2020. However, there was evidence of worsened levels of anxiety and SWB in 2021 compared to 2019. Interaction effects indicated that students from a Black, Asian or minority ethnicity background and students previously diagnosed with a mental health difficulty showed improved outcomes in 2021 compared to previous years. There is a need for sector-wide strategies including preventative approaches, appropriate treatment options for students already experiencing difficulties and ongoing monitoring post-pandemic.

Since the coronavirus (COVID-19) outbreak intensified in the United Kingdom (UK) the country has been placed in lockdown, restricting the movement of residents. During this lockdown, 72 percent of young people with underlying health conditions say that face-to-face calls with friends is helpful in coping and self-managing their mental health during this time. On the other hand, 66 percent report that watching or reading the news is unhelpful for their mental health during this time. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

This publication provides the timeliest picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series. • COVID-19 and the production of statistics Due to the coronavirus illness (COVID-19) disruption, the quality and coverage of some of our statistics has been affected, for example by an increase in non-submissions for some datasets. We are also seeing some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period. • Early release of statistics To support the ongoing COVID-19 work, Provisional July 2021 monthly statistics were made available early and presented on our supplementary information pages. • Updates to measures For details of new measures, or changes to existing measures, see the 'Notes on measures' page. Full details of any changes are also available in the associated Metadata file.

Context, Content, Acknowledgements and Inspiration

Just gathered from office of national statistics. You can find anything from following research:

Coronavirus and loneliness, Great Britain: 3 April to 3 May 2020

Note: Some data provided as sample.

Files to replicate "Internet and mental health during the COVID-19 pandemic: Evidence from the UK", published in the Oxford Open Economics journal: https://doi.org/10.1093/ooec/odac007 The replication files use data from Understanding Society. Understanding Society is an initiative funded by the Economic and Social Research Council and various Government Departments, with scientific leadership by the Institute for Social and Economic Research, University of Essex, and survey delivery by NatCen Social Research and Kantar Public. The research data are distributed by the UK Data Service. Researchers who would like to use Understanding Society need to register with the UK Data Service before being allowed to apply for or download datasets. For more information visit: https://www.understandingsociety.ac.uk/documentation/access-data

This study is a longitudinal cohort study using the Coronavirus Health Impact Survey (CRISIS) collected at 3 time points: an initial assessment in April 2020 (“April”), a reassessment 3 weeks later (“May”), and a 7-month follow-up in November 2020 (“November”). Online surveys were collected in the United States and the United Kingdom by a survey recruitment service with a final sample of 859 adults and 780 children (collected via parent report).

The COVID-19 pandemic has had a substantial impact on mental health; because students are particularly vulnerable to loneliness, isolation, stress and unhealthy lifestyle choices, their mental health and wellbeing may potentially be more severely impacted by lockdown measures than the general population. This study assessed the mental health and wellbeing of UK undergraduate students during and after the lockdowns associated with the COVID-19 pandemic. Data were collected via online questionnaire at 3 time points – during the latter part of the first wave of the pandemic (spring/summer 2020; n=46) while stringent lockdown measures were still in place but gradually being relaxed; during the second wave of the pandemic (winter 2020-21; n=86) while local lockdowns were in place across the UK; and during the winter of 2021-22 (n=77), when infection rates were high but no lockdown measures were in place. Stress was found to most strongly predict wellbeing and mental health measures during the two pandemic waves. Other substantial predictors were diet quality and intolerance of uncertainty. Positive wellbeing was the least well accounted for of our outcome variables. Conversely, we found that depression and anxiety were higher during winter 2021-22 (no lockdowns) than winter 2020-21 (under lockdown). This may be due to the high rates of infection over that period and the effects of COVID-19 infection itself on mental health. This suggests that, as significant as the effects of lockdowns were on the wellbeing of the nation, not implementing lockdown measures could potentially have been even more detrimental for mental health.

Replication code for "On the persistence of mental health deterioration during the COVID-19 pandemic by sex and ethnicity in the UK: evidence from Understanding Society" accepted for publication in The B.E. Journal of Economic Analysis & Policy. The replication code uses data from Understanding Society. Researchers who would like to use Understanding Society need to register with the UK Data Service before being allowed to apply for or download datasets. More information: https://www.understandingsociety.ac.uk/documentation/access-data.

In 2020, ** percent of young people surveyed in the United Kingdom (UK) have experienced feelings of self-loathing since the outbreak of the COVID-19 pandemic, while a further ** percent reported experiencing insomnia. Furthermore, ** percent of young people said they had experienced panic attacks since the pandemic.

Objectives: This study investigated perceived loneliness, anxiety, and depression among young adults in the UK across five timepoints: pre-pandemic (December 2019), two coronavirus disease (COVID-19) lockdowns (March–June 2020, January–April 2021), and two post-lockdown phases (November–December 2021, May 2022). It aimed to assess mental health resilience, defined as a return to baseline levels post-lockdown, and identify critical timepoints where loneliness predicted mental health outcomes.Methods: A total of 158 participants (aged 18–82, predominantly under 25) completed online questionnaires measuring mental health (Patient Health Questionnaire-8 (PHQ-8); General Anxiety Disorder-7 (GAD-7)) and loneliness (DeJong Gierveld Loneliness Scale) at two data collection points, under a cross-sectional design. Retrospective data were collected for pre-pandemic and lockdown periods, while prospective data were gathered post-lockdown. Linear mixed models and regression analyses were used to examine changes in mental health and loneliness over time and to identify predictive relationships.Results: Loneliness and mental health significantly deteriorated during lockdowns, with depression and anxiety scores worsening from pre-pandemic levels. Partial recovery was observed post-lockdown, but scores remained above baseline. Loneliness emerged as a key predictor of mental health outcomes, particularly during post-lockdown phases. The immediate post-lockdown period was identified as a critical window for interventions.Conclusions: COVID-19 lockdowns were associated with heightened loneliness and mental health challenges, with sustained effects post-lockdown. Timely interventions targeting loneliness, especially after periods of social restriction, are essential to mitigate long-term mental health impacts and inform future responses to global crises.

People with mental health conditions have been identified as particularly vulnerable to poor mental health during the coronavirus disease 2019 (COVID-19) pandemic. However, why this population have faced these adverse effects, how they have experienced them and how they have coped remains under-explored. To explore how the COVID-19 pandemic affected the mental health of people with existing mental health conditions, and to identify coping strategies for positive mental health. Semi-structured qualitative interviews with 22 people with mental health conditions. Participants were purposively recruited via social media, study newsletters and third sector mental health organisations. Data were analysed using reflexive thematic analysis. Participants were aged 23–70 (mean age 43), predominantly female (59.1%) and of white ethnicity (68.2%). Fifty percent were unable to work due to illness and the most frequently reported mental health condition was depression. Five pandemic-related factors contributed to deteriorating mental health: (i) feeling safe but isolated at home; (ii) disruption to mental health services; (iii) cancelled plans and changed routines; (iv) uncertainty and lack of control; (v) rolling media coverage. Five coping strategies were identified for maintaining mental health: (i) previous experience of adversity; (ii) social comparison and accountability; (iii) engaging in hobbies and activities; (iv) staying connected with others; (v) perceived social support. Challenges were identified as a direct result of the pandemic and people with severe mental illnesses were particularly negatively affected. However, some found this period a time of respite, drew upon reserves of resilience and adapted their coping strategies to maintain positive well-being.

A nationwide survey was conducted during the first UK lockdown to further understanding of the degree to which motives for exercise were associated with physical activity (PA) behaviours and, in turn, how PA behaviours were associated with mental health. A cross-sectional design was employed and data were collected by use of a one-off online survey (N = 392; 18–85 years; MBMI = 25.48; SDBMI = 5.05; 314 women). Exercise motives, PA, and mental health were measured by use of the Behavioural Regulations in Exercise Questionnaire-3, Brunel Lifestyle Physical Activity Questionnaire, and General Health Quesionnaire-12, respectively. Participants were also asked to specify their average step count per day, if they used a mobile device for this purpose (n = 190). Analyses comprised hierarchical regressions and partial correlations. Results indicated that behavioural regulations were more strongly associated with planned PA pre-lockdown, compared to during lockdown. There were no differences observed in explained variance between pre- and during lockdown for unplanned PA and steps per day. Planned and unplanned PA were significant explanatory variables for mental health both pre- and during lockdown, but sedentary behaviour was not. Partial correlations, with BMI and age partialled out, showed that steps per day were not correlated with mental health either pre- or during lockdown. The range of variables used to explain planned and unplanned PA and mental health suggest that people’s motives to exercise were tempered by lockdown. For those who routinely measured their steps per day, the step count was unrelated to their mental health scores both pre- and during lockdown. It appears that engagement in regular PA confers some minor benefits for mental health.