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Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study.

ABSTRACT: OBJECTIVES:Previous pandemics have resulted in significant consequences for mental health. Here, we report the mental health sequelae of the COVID-19 pandemic in a UK cohort and examine modifiable and non-modifiable explanatory factors associated with mental health outcomes. We focus on the first wave of data collection, which examined short-term consequences for mental health, as reported during the first 4-6 weeks of social distancing measures being introduced. DESIGN:Cross-sectional online survey. SETTING:Community cohort study. PARTICIPANTS:N=3097 adults aged ?18 years were recruited through a mainstream and social media campaign between 3 April 2020 and 30 April 2020. The cohort was predominantly female (n=2618); mean age 44 years; 10% (n=296) from minority ethnic groups; 50% (n=1559) described themselves as key workers and 20% (n=649) identified as having clinical risk factors putting them at increased risk of COVID-19. MAIN OUTCOME MEASURES:Depression, anxiety and stress scores. RESULTS:Mean scores for depression ([Formula: see text] =7.69, SD=6.0), stress ([Formula: see text] =6.48, SD=3.3) and anxiety ([Formula: see text] = 6.48, SD=3.3) significantly exceeded population norms (all p<0.0001). Analysis of non-modifiable factors hypothesised to be associated with mental health outcomes indicated that being younger, female and in a recognised COVID-19 risk group were associated with increased stress, anxiety and depression, with the final multivariable models accounting for 7%-14% of variance. When adding modifiable factors, significant independent effects emerged for positive mood, perceived loneliness and worry about getting COVID-19 for all outcomes, with the final multivariable models accounting for 54%-57% of total variance. CONCLUSIONS:Increased psychological morbidity was evident in this UK sample and found to be more common in younger people, women and in individuals who identified as being in recognised COVID-19 risk groups. Public health and mental health interventions able to ameliorate perceptions of risk of COVID-19, worry about COVID-19 loneliness and boost positive mood may be effective.

SUBMITTER: Jia R

PROVIDER: S-EPMC7493070 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study.

Jia Ru R Ayling Kieran K Chalder Trudie T Massey Adam A Broadbent Elizabeth E Coupland Carol C Vedhara Kavita K

BMJ open 20200915 9

<h4>Objectives</h4>Previous pandemics have resulted in significant consequences for mental health. Here, we report the mental health sequelae of the COVID-19 pandemic in a UK cohort and examine modifiable and non-modifiable explanatory factors associated with mental health outcomes. We focus on the first wave of data collection, which examined short-term consequences for mental health, as reported during the first 4-6 weeks of social distancing measures being introduced.<h4>Design</h4>Cross-sect ...[more]

PMID: 32933965

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Project description:BackgroundThe related research of coronavirus disease 2019 (COVID-19) pandemic on the mental health of community residents is still lacking. Here we reported the mental health status of Chinese residents as well as the community's prevention and control during the pandemic period of COVID-19 and further explored the influencing factors of mental status.MethodsIn this cross-sectional study, convenience sampling and snowball sampling methods were adopted from February 16 to February 23, 2020, and Chinese community residents were included according to the inclusion and exclusion criteria. Three questionnaires, including General Anxiety Disorder 7 (GAD-7), Patient Health Questionnaire 9 (PHQ-9), and a self-designed "Community prevention and control questionnaire", were used. A multivariate linear regression analysis was conducted to analyze the impact factors of anxiety and depression.ResultsA total of 3,001 community residents were included in this study. In total, 85.6% and 83.7% of participants had minimal anxiety and depression, respectively. Among all the community residents, 16.6% of participants proved that the communities they lived in had confirmed cases. 95.3% of participants reported that the residents were screened for mobility and contact history. 97.8% of participants reported the entrance and exit of the community were managed in their communities. There were 97.5% and 99% of participants needed to take body temperature and wear masks in their communities. Ninety-two percent (92%) of communities have their public areas and facilities disinfected daily, and 95.4% of communities have conducted health education about COVID-19. Factors including gender, education level, chronic illness, the frequency of going out, achieving information about COVID-19 by community and newspaper, and confirmed cases in the community, show association with community residents' anxiety and depression.ConclusionsThe vast majority of Chinese residents have little anxiety and depression, and most communities have adopted standardized control measures following the government's regulations and policy, which plays a vital role in the control of COVID-19 and improving residents' anxiety and depression.

Project description:BackgroundPopulation-level information on dispensed medication provides insight on the distribution of treated morbidities, particularly if linked to other population-scale data at an individual-level.ObjectiveTo evaluate the impact of COVID-19 on dispensing patterns of medications.MethodsRetrospective observational study using population-scale, individual-level dispensing records in Wales, UK. Total dispensed drug items for the population between 1 st January 2016 and 31 st December 2019 (3-years, pre-COVID-19) were compared to 2020 with follow up until 27 th July 2021 (COVID-19 period). We compared trends across all years and British National Formulary (BNF) chapters and highlighted the trends in three major chapters for 2019-21: 1-Cardiovascular system (CVD); 2-Central Nervous System (CNS); 3-Immunological & Vaccine. We developed an interactive dashboard to enable monitoring of changes as the pandemic evolves.ResultAmongst all BNF chapters, 73,410,543 items were dispensed in 2020 compared to 74,121,180 items in 2019 demonstrating -0.96% relative decrease in 2020. Comparison of monthly patterns showed average difference (D) of -59,220 and average Relative Change (RC) of -0.74% between the number of dispensed items in 2020 and 2019. Maximum RC was observed in March 2020 (D = +1,224,909 and RC = +20.62), followed by second peak in June 2020 (D = +257,920, RC = +4.50%). A third peak was observed in September 2020 (D = +264,138, RC = +4.35%). Large increases in March 2020 were observed for CVD and CNS medications across all age groups. The Immunological and Vaccine products dropped to very low levels across all age groups and all months (including the March dispensing peak).ConclusionsReconfiguration of routine clinical services during COVID-19 led to substantial changes in community pharmacy drug dispensing. This change may contribute to a long-term burden of COVID-19, raising the importance of a comprehensive and timely monitoring of changes for evaluation of the potential impact on clinical care and outcomes.

Project description:ObjectivesMental health problems significantly increased worldwide during the coronavirus (COVID-19) pandemic. At the early stage of the outbreak, the government of Bangladesh imposed lockdown and quarantine approaches to prevent the spread of the virus, which impacted people's daily life and health. The COVID-19 pandemic has also affected people's economic status, healthcare facilities and other lifestyle factors in Bangladesh. We aimed to assess the impact of the COVID-19 pandemic on mental health among the Bangladeshi population.MethodsWe conducted an online cross-sectional survey among 672 Bangladeshi people aged between 15 and 65 years all over the country from 15 April to 10 May 2020. After obtaining electronic consent, we conducted a survey assessing people's sociodemographic profiles and psychometric measures. We used The University of California, Los Angeles (UCLA) Loneliness Scale-8, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7-Item Scale and Pittsburgh Sleep Quality Index to assess loneliness, depression, anxiety and sleep disturbance, respectively.ResultsThe prevalence of loneliness, depression, anxiety and sleep disturbance was estimated at 71% (mild: 32%, moderate: 29%, severe: 10%), 38% (mild: 24%, moderate: 11%, severe: 3%), 64% (mild: 30%, moderate: 17%, severe: 17%) and 73% (mild: 50%, moderate: 18%, severe: 5%), respectively. In Bangladesh, the key factors associated with poor mental health during COVID-19 were female sex, unemployment, being a student, obesity and living without a family. The present study also identified statistically significant interrelationships among the measured mental health issues.ConclusionsA large portion of respondents reported mental health problems during the COVID-19 pandemic in Bangladesh. The present study suggests longitudinal assessments of mental health among Bangladeshi people to determine the gravity of this issue during and after the pandemic. Appropriate supportive programmes and interventional approaches would address mental health problems in Bangladesh during the COVID-19 pandemic.

Project description:BackgroundCovid-19 pandemic became an unexpected stressor for the entire population and, particularly, for pregnant women and lactating mothers. The alarming infectious risk together with the lockdown period could affect the emotional state of mothers-to-be, as well as breastfeeding rates, mother-baby bonding, or neonatal weight gain. The aim of this study is to describe the impact of this world health emergency in mother-baby pairs right after the first wave of Sars-Cov-2 pandemic (from March to May 2020).Study designA prospective observational study was carried out in mother-child dyads from those women who gave birth between June and August 2020 in a tertiary hospital. 91 mother-baby pairs were initially enrolled and 56 of them completed the follow-up. The study design had two separate steps: i) Step one: A clinical interview plus three psychometric tests (EPDS: Edinburgh Postnatal Depression Scale, PBQ: Postpartum Bonding Questionnaire and STAI-S: State-Trait Anxiety Inventory); ii) Step two: mother-child dyads were followed using a round of three brief telephone interviews (conducted at the newborn's 7, 14 and 28 days of age) to accurately depict the newborn's outcome in the neonatal period.ResultsIn terms of maternal mental health, 25% of the sample screens positively in the EPDS, requiring further evaluation to rule out depressive symptoms. STAI-state and PBQ detect no abnormalities in either anxiety levels or mother-child bonding in our sample, as 100% of the mothers score below the cut-off points in each test (34 and 26 respectively). When comparing feeding practices (breast/bottle feeding) in 2020 to those practices during pre-pandemic years (2017-2019), a significant increase in breastfeeding was found in pandemic times. All newborns in the sample showed an adequate weight gain during their first month of life.ConclusionWomen and newborns in our sample did not experience an increase in adverse outcomes in the neonatal period in terms of maternal mental health, breastfeeding rates, bonding and further neonatal development.

Project description:ObjectiveTo examine risk perceptions and behavioural responses of the UK adult population during the early phase of the COVID-19 epidemic in the UK.DesignA cross-sectional survey.SettingConducted with a nationally representative sample of UK adults within 48 hours of the UK Government advising the public to stop non-essential contact with others and all unnecessary travel.Participants2108 adults living in the UK aged 18 years and over. Response rate was 84.3% (2108/2500). Data collected between 17 March and 18 March 2020.Main outcome measuresDescriptive statistics for all survey questions, including number of respondents and weighted percentages. Robust Poisson regression used to identify sociodemographic variation in: (1) adoption of social distancing measures, (2) ability to work from home, and (3) ability and (4) willingness to self-isolate.ResultsOverall, 1992 (94.2%) respondents reported at least one preventive measure: 85.8% washed their hands with soap more frequently; 56.5% avoided crowded areas and 54.5% avoided social events. Adoption of social distancing measures was higher in those aged over 70 years compared with younger adults aged 18-34 years (adjusted relative risk/aRR: 1.2; 95% CI: 1.1 to 1.5). Those with lowest household income were three times less likely to be able to work from home (aRR: 0.33; 95% CI: 0.24 to 0.45) and less likely to be able to self-isolate (aRR: 0.92; 95% CI: 0.88 to 0.96). Ability to self-isolate was also lower in black and minority ethnic groups (aRR: 0.89; 95% CI: 0.79 to 1.0). Willingness to self-isolate was high across all respondents.ConclusionsAbility to adopt and comply with certain non-pharmaceutical interventions (NPIs) is lower in the most economically disadvantaged in society. Governments must implement appropriate social and economic policies to mitigate this. By incorporating these differences in NPIs among socioeconomic subpopulations into mathematical models of COVID-19 transmission dynamics, our modelling of epidemic outcomes and response to COVID-19 can be improved.

Dataset Information

Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study.

Publications

Mental health in the UK during the COVID-19 pandemic: cross-sectional analyses from a community cohort study.

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