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      Change in time spent visiting and experiences of green space following restrictions on movement during the COVID-19 pandemic: a nationally representative cross-sectional study of UK adults

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      BMJ Open
      BMJ Publishing Group
      mental health, COVID-19, public health

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          Abstract

          Objectives

          Green space positively influences health and well-being; however, inequalities in use of green space are prevalent. Movement restrictions enforced due to the COVID-19 pandemic could have exacerbated existing inequalities regarding who visits green space. Therefore, this study aimed to explore how movement restrictions have changed the time spent visiting green space and experience of green space in the United Kingdom (UK) and how these differed by individual-level demographic characteristics.

          Design and outcome measures

          A nationally representative cross-sectional survey administered through YouGov between 30 April and 1 May 2020. Data were collected on the time spent visiting green space and change in the experience of green space, including missing social interaction, increased physical activity and feeling greater mental health benefits in green space. Demographic information was collected on sex, age, ethnicity, social grade and dog ownership. Associations between specific outcome variables and predictors were assessed using logistic regression.

          Setting

          UK, with population weights applied.

          Participants

          2252 adults aged 18 years and over.

          Results

          Overall, 63% of respondents reported a decrease in time spent visiting green space following movement restrictions. Lower social grade respondents were less likely to visit green space before and after restrictions were enforced (OR: 0.35 (95% CI 0.24 to 0.51); OR: 0.77 (95% CI 0.63 to 0.95)). Female respondents were more likely than male respondents to agree that green space benefited their mental health more following restrictions (PP: 0.70 vs 0.59). Older (65+ years) respondents were less likely than middle-aged (25–64 years) respondents to have visited green space following the restrictions (OR: 0.79 (95% CI 0.63 to 0.98)).

          Conclusions

          Inequalities in green space use were sustained, and possibly exacerbated, during movement restrictions. Our findings emphasise the importance of green spaces remaining open globally in any future ‘lockdowns’/pandemics. Further investigation is required to determine how visit patterns and experiences change through the different stages of the COVID-19 pandemic in the UK.

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          Most cited references29

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          Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

          Abstract Objective To review and critically appraise published and preprint reports of prediction models for diagnosing coronavirus disease 2019 (covid-19) in patients with suspected infection, for prognosis of patients with covid-19, and for detecting people in the general population at risk of being admitted to hospital for covid-19 pneumonia. Design Rapid systematic review and critical appraisal. Data sources PubMed and Embase through Ovid, Arxiv, medRxiv, and bioRxiv up to 24 March 2020. Study selection Studies that developed or validated a multivariable covid-19 related prediction model. Data extraction At least two authors independently extracted data using the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist; risk of bias was assessed using PROBAST (prediction model risk of bias assessment tool). Results 2696 titles were screened, and 27 studies describing 31 prediction models were included. Three models were identified for predicting hospital admission from pneumonia and other events (as proxy outcomes for covid-19 pneumonia) in the general population; 18 diagnostic models for detecting covid-19 infection (13 were machine learning based on computed tomography scans); and 10 prognostic models for predicting mortality risk, progression to severe disease, or length of hospital stay. Only one study used patient data from outside of China. The most reported predictors of presence of covid-19 in patients with suspected disease included age, body temperature, and signs and symptoms. The most reported predictors of severe prognosis in patients with covid-19 included age, sex, features derived from computed tomography scans, C reactive protein, lactic dehydrogenase, and lymphocyte count. C index estimates ranged from 0.73 to 0.81 in prediction models for the general population (reported for all three models), from 0.81 to more than 0.99 in diagnostic models (reported for 13 of the 18 models), and from 0.85 to 0.98 in prognostic models (reported for six of the 10 models). All studies were rated at high risk of bias, mostly because of non-representative selection of control patients, exclusion of patients who had not experienced the event of interest by the end of the study, and high risk of model overfitting. Reporting quality varied substantially between studies. Most reports did not include a description of the study population or intended use of the models, and calibration of predictions was rarely assessed. Conclusion Prediction models for covid-19 are quickly entering the academic literature to support medical decision making at a time when they are urgently needed. This review indicates that proposed models are poorly reported, at high risk of bias, and their reported performance is probably optimistic. Immediate sharing of well documented individual participant data from covid-19 studies is needed for collaborative efforts to develop more rigorous prediction models and validate existing ones. The predictors identified in included studies could be considered as candidate predictors for new models. Methodological guidance should be followed because unreliable predictions could cause more harm than benefit in guiding clinical decisions. Finally, studies should adhere to the TRIPOD (transparent reporting of a multivariable prediction model for individual prognosis or diagnosis) reporting guideline. Systematic review registration Protocol https://osf.io/ehc47/, registration https://osf.io/wy245.
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            Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study

            Background The effects of coronavirus disease 2019 (COVID-19) on the population's mental health and well-being are likely to be profound and long lasting. Aims To investigate the trajectory of mental health and well-being during the first 6 weeks of lockdown in adults in the UK. Method A quota survey design and a sampling frame that permitted recruitment of a national sample was employed. Findings for waves 1 (31 March to 9 April 2020), 2 (10 April to 27 April 2020) and 3 (28 April to 11 May 2020) are reported here. A range of mental health factors was assessed: pre-existing mental health problems, suicide attempts and self-harm, suicidal ideation, depression, anxiety, defeat, entrapment, mental well-being and loneliness. Results A total of 3077 adults in the UK completed the survey at wave 1. Suicidal ideation increased over time. Symptoms of anxiety, and levels of defeat and entrapment decreased across waves whereas levels of depressive symptoms did not change significantly. Positive well-being also increased. Levels of loneliness did not change significantly over waves. Subgroup analyses showed that women, young people (18–29 years), those from more socially disadvantaged backgrounds and those with pre-existing mental health problems have worse mental health outcomes during the pandemic across most factors. Conclusions The mental health and well-being of the UK adult population appears to have been affected in the initial phase of the COVID-19 pandemic. The increasing rates of suicidal thoughts across waves, especially among young adults, are concerning.
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              Mitigating the wider health effects of covid-19 pandemic response

              Countries worldwide have implemented strict controls on movement in response to the covid-19 pandemic. The aim is to cut transmission by reducing close contact (box 1), but the measures have profound consequences. Several sectors are seeing steep reductions in business, and there has been panic buying in shops. Social, economic, and health consequences are inevitable. Box 1 Social distancing measures Advising the whole population to self-isolate at home if they or their family have symptoms Bans on social gatherings (including mass gatherings) Stopping flights and public transport Closure of “non-essential” workplaces (beyond the health and social care sector, utilities, and the food chain) with continued working from home for those that can Closure of schools, colleges, and universities Prohibition of all “non-essential” population movement Limiting contact for special populations (eg, care homes, prisons) The health benefits of social distancing measures are obvious, with a slower spread of infection reducing the risk that health services will be overwhelmed. But they may also prolong the pandemic and the restrictions adopted to mitigate it.1 Policy makers need to balance these considerations while paying attention to broader effects on health and health equity. Who is most at risk? Several groups may be particularly vulnerable to the effects of both the pandemic and the social distancing measures (box 2). Table 1 summarises several mechanisms through which the pandemic response is likely to affect health: economic effects, social isolation, family relationships, health related behaviours, disruption to essential services, disrupted education, transport and green space, social disorder, and psychosocial effects. Figure 1 shows the complexity of the pathways through which these effects may arise. Below we expand on the first three mechanisms, using Scotland as an example. The appendix on bmj.com provides further details of mechanisms, effects, and mitigation measures. Box 2 Groups at particular risk from responses to covid-19 Older people—highest direct risk of severe covid-19, more likely to live alone, less likely to use online communications, at risk of social isolation Young people—affected by disrupted education at critical time; in longer term most at risk of poor employment and associated health outcomes in economic downturn Women—more likely to be carers, likely to lose income if need to provide childcare during school closures, potential for increase in family violence for some People of East Asian ethnicity—may be at increased risk of discrimination and harassment because the pandemic is associated with China People with mental health problems—may be at greater risk from social isolation People who use substances or in recovery—risk of relapse or withdrawal People with a disability—affected by disrupted support services People with reduced communication abilities (eg, learning disabilities, limited literacy or English language ability)—may not receive key governmental communications Homeless people—may be unable to self-isolate or affected by disrupted support services People in criminal justice system—difficulty of isolation in prison setting, loss of contact with family Undocumented migrants—may have no access to or be reluctant to engage with health services Workers on precarious contracts or self-employed—high risk of adverse effects from loss of work and no income People on low income—effects will be particularly severe as they already have poorer health and are more likely to be in insecure work without financial reserves People in institutions (care homes, special needs facilities, prisons, migrant detention centres, cruise liners)—as these institutions may act as amplifiers Table 1 Health effects of social distancing measures and actions to mitigate them Mechanism Summary of effects Summary of mitigations Economic effects • Income losses for workers unable to work• Longer term increase in unemployment if businesses fail• Recession • Protect incomes at the level of the minimum income for healthy living• Provide food and other essential supplies• Reduce longer term unemployment• Prioritise inclusive and sustainable economic development during recovery Social isolation • Lack of social contact, particularly for people who live alone and have less access to digital connectivity• Difficulty accessing food and other supplies • Encourage and support other forms of social contact• Provide supplies• Provide clear communications• Restrict duration of isolation Family relationships • Home confinement may increase family violence and abuse• Potential exploitation of young people not in school • Offer support to vulnerable families• Ensure realistic expectations for home working and home schooling• Provide safety advice and support services for women at risk of domestic abuse Health related behaviours • Potential for increased substance use, increased online gambling, and a rise in unintended pregnancies• Reduction in physical activity as sports facilities closed and less utilitarian walking and cycling • Advice and support on substance use, gambling, contraception• Encourage daily physical activity Disruption to essential services • Direct effects on health and social care demand• Unwillingness to attend healthcare settings may affect care of other conditions• Loss of workforce may affect essential services • Robust business continuity planning• Prioritise essential services including healthcare, social care, emergency services, utilities, and the food chain• Guidance, online consultations, and outreach, for conditions other than covid-19• Attention to supply chains for non-covid medicines Disruption to education • Loss of education and skills, particularly for young people at critical transitions• Likely increase in educational inequalities from reliance on home schooling • Provide support for young people in critical transitions, and low income or at-risk children and young people who lack IT and good home study environments Traffic, transport, and green space • Reduced aviation and motorised traffic with reduced air pollution, noise, injuries, and carbon emissions in short term• Restricted public transport may reduce access for people without a car• Longer term reluctance to use public transport may increase use of private cars• Restricted access to green space, which has benefits for physical and mental health • Discourage unnecessary car journeys• Support active travel modes• Support safe access to green spaces• Post-pandemic support for public transport Social disorder • Potential for unrest if supplies run out or there is widespread discontent about the response• Harassment of people believed to be at risk of transmitting the virus • Mitigation of other effects will reduce risk of social disorder• Avoid stigmatising ill people or linking the pandemic to specific populations Psychosocial impacts • High level of public fear and anxiety• Community cohesion could increase as people respond collectively • Provide clear communications• Support community organisations responding to local needs Fig 1 Effects of social distancing measures on health Economic effects People may experience loss of income from social distancing in several ways. Although some people can work at home, many cannot, especially those in public facing roles in service industries, a group that already faces precarious employment and low income.2 Others may be affected by workplace closures, caused by government mandate, an infected co-worker, or loss of business. Yet more may be unable to work as school closures require them to provide childcare. In the UK, 3.5 million additional people are expected to need universal credit (which includes unemployment payments) as a result of the pandemic.3 The growth of the informal, gig economy in some countries has created a large group of people who are especially vulnerable as they do not get sick pay, are on zero hours contracts, or are self-employed.4 They can easily lose all their income, and even if this is only temporary they often lack the safety net of savings. An important risk is housing security, with loss of income causing rent or mortgage arrears or even homelessness. School closure will affect low income and single parent families especially severely because they need to meet an unexpected need for childcare and lose the benefit of free school meals. They may also face increased costs for heating their homes during the day. In some countries, welfare systems impose strict conditions on recipients that cannot be met by those in isolation. The link between income and health is well established and acts through several mechanisms.5 Income allows people to buy necessities for life, access health enhancing resources, avoid harmful exposures, and participate in normal activities of society. Low income also increases psychosocial stress. The minimum income for healthy living establishes a standard required to maintain health in different settings.6 Crucially, not everyone is equally likely to lose income. Women, young people, and those who are already poor will fare worst. To avoid widening health inequalities, social distancing must be accompanied by measures to safeguard the incomes of poor people. Future challenges The longer term effects may be substantial. If businesses fail, many employees will become unemployed. Those losing their jobs in middle age may never return to the workforce. Sectors that are especially vulnerable include hospitality, entertainment, transport, leisure, and sport. Unemployment has large negative effects on both physical and mental health,7 with a meta-analysis reporting a 76% increase in all-cause mortality in people followed for up to 10 years after becoming unemployed.8 The pandemic has already caused downgrading of economic forecasts, with many countries facing a recession. The health consequences of a recession are complex. Economic downturns have been associated with improvements in some health outcomes, especially traffic injuries, but worsening mental health, including increases in homicide and suicide.9 However, these harmful effects can be prevented by progressive social policies; it is the policy response to a recession, rather than the recession itself, that determines longer term population health.10 Throughout history, some people have viewed any crisis as an opportunity. Klein described how “disaster capitalists” take advantage of natural and human influenced disasters.11 There is clear potential for price gouging (profiteering through increased prices during supply or demand shocks) on essential goods. Once the pandemic recedes, there could be profound changes to the economy that may disadvantage less powerful populations, such as through privatisation of public sector services. However, there may also be opportunities for the economy to be rebuilt “better,” depending on public and political attitudes and power balance.12 Social isolation Advising or compelling people to self-isolate at home risks serious social and psychological harm. Quarantine of people exposed to an infectious disease is associated with negative psychological effects, including post-traumatic stress symptoms, which may be long lasting.13 The effects are exacerbated by prolonged isolation, fear of the infection, frustration, boredom, inadequate supplies and information, financial loss, and stigma. These effects are less when quarantine is voluntary and can be mitigated by ensuring clear rapid communication, keeping the duration short, providing food and other essential supplies, and protecting against financial loss.13 In Scotland, a third of the population lives alone and 40% of this group are of pensionable age.14 Older people are also less likely to use online communications, making them at particular risk of social isolation during social distancing. Social isolation is defined as pervasive lack of social contact or communication, participation in social activities, or a confidante. Long term, social isolation is associated with an increase in mortality of almost a third.15 Prolonged periods of social distancing could have similar effects. People who are socioeconomically disadvantaged or in poor physical or mental health are at higher risk.16 Online and telephone support needs to be provided for vulnerable groups, especially those living alone. Family relationships Social distancing measures will place many people in close proximity with family members all or most of the time, which may cause or exacerbate tensions. Concern has been raised about potential increases in family violence during restrictions in the UK.17 Risk factors for partner and child abuse include poverty, substance misuse in the home, and previous history of abuse.18 19 Around 60 000 domestic abuse incidents occur in Scotland every year, with young women most affected, 20 and over 2500 children are on the child protection register.21 It is important to maintain social work and community support for vulnerable families, including safety advice for women at risk of abuse. Domestic abuse advocates have called for enhanced support, including allocation of hotel rooms for women at risk.17 School closures may add to stress in families as parents try to home school children, often juggling this with home working. This burden may fall disproportionately on women. As well as academic learning, schools support development of social and other skills. Prolonged school closures could cause adverse effects on educational and social outcomes for young people in families that lack study space and access to home computing.22 Some children who are not at school may be at risk of online or other forms of exploitation—for example, by drug dealers—or of being recruited into gangs. Realistic expectations of home schooling, provision of food for those eligible for free school meals, and outreach support for the most vulnerable children will be needed during school closures. Many children will need extra support on return to school.22 Mitigating adverse effects In addition to the direct disease burden from covid-19, the pandemic response is already causing negative indirect effects such as those described above. These are borne disproportionately by people who already have fewer resources and poorer health. Prolonged or more restrictive social distancing measures could increase health inequalities in the short and long term. Our assessment is based on rapid scoping of potential impacts and a non-systematic review of diverse publications, so there is a high degree of uncertainty about the extent of some impacts. However, the range of health concerns identified, beyond those directly attributable to the virus itself, should be recognised in developing and implementing responses. The effects may also vary by context. In low and middle income countries without social safety nets, the effects on population health and health inequalities are likely to be worse than in richer countries, as is beginning to be seen in India.23 Actions must be targeted to support the most vulnerable people. The extraordinary measures in the UK to allow businesses to continue paying staff will help mitigate the harms for many workers. But it is important to consider people in precarious work who will not be covered by these measures, and to consider longer term support for those who continue to experience problems once the measures expire. A large multiagency response will be needed to deal with the wide range of needs we have identified. In the longer term, policy decisions made now will shape the future economy in ways that could either improve or damage sustainability, health, and health inequalities. These include decisions about which sectors to prioritise for support, whether to direct financial support to business or workers, and how to fund the costs. To protect population health it will be essential to avoid a further period of austerity and the associated reductions in social security and public service spending. Instead we must build a more sustainable and inclusive economy.10 Key messages Social distancing measures to control the spread of covid-19 are likely to have large effects on health and health inequalities These effects have numerous mechanisms, including economic, social, health related behaviours, and disruption to services and education People on low incomes are most vulnerable to the adverse effects Substantial mitigation measures are needed in the short and long term
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                8 March 2021
                : 11
                : 3
                : e044067
                Affiliations
                [1]departmentMRC/CSO Social and Public Health Sciences Unit , University of Glasgow , Glasgow, UK
                Author notes
                [Correspondence to ] Hannah Burnett; h.burnett.1@ 123456research.gla.ac.uk
                Author information
                http://orcid.org/0000-0001-5710-3180
                http://orcid.org/0000-0002-5356-8615
                Article
                bmjopen-2020-044067
                10.1136/bmjopen-2020-044067
                7942249
                34006030
                8e25858d-d7e3-4129-894b-4c7220491897
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 21 August 2020
                : 20 January 2021
                : 25 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000589, Chief Scientist Office;
                Award ID: SPHSU10
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UU_12017/10
                Categories
                Public Health
                1506
                2474
                1724
                Original research
                Custom metadata
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                Medicine
                mental health,covid-19,public health
                Medicine
                mental health, covid-19, public health

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