scholarly journals Wellbeing during the COVID-19 pandemic in the UK: a secondary data analysis

2021 ◽  
Author(s):  
Jen Murphy ◽  
Mark Elliot
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
National Level ◽  
Secondary Data ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
The Uk ◽  
Survey Responses ◽  
The Impact

Introduction: In March 2020 in response to the COVID pandemic the UK government declared a national lockdown where citizens were required to stay at home. The impact of this lockdown on levels of well-being has been a source of concern for citizens and mental health professionals.Objectives: We investigated the trajectory of well-being over the course of the ?first wave and sought to determine whether the change in well-being is distributed equally across the population. Speci?fically we investigated pre-existing medical conditions, social isolation, ?financial stress and deprivation as a predictor for well-being and whether there were community level characteristics which protect against poorer well-being.Methods: Using online survey responses from the COVID19 modules of Understanding society, we linked 8,379 English cases across ?five waves of data collection to location based deprivation statistics. We used ordinary least squares regression to estimate the association between deprivation, pre-existing conditions and socio-demographic factors and the change in well-being scores over time, as measured by the GHQ-12 questionnaire.Results: A decline in well-being was observed at the beginning of the fi?rst lock down period at the beginning of March 2020. This was matched with a corresponding recovery between April and July as restrictions were gradually lifted. There was no association between the decline and deprivation, nor between deprivation and recovery. The strongest predictor of well-being during the lockdown, was the baseline score, with the counterintuitive finding that for those will pre-existing poor well-being, the impact of pandemic restrictions on mental health were minimal, but for those who had previously felt well, the restrictions and the impact of the pandemic on well-being were much greater.Conclusion: These data show no evidence of a social gradient in well-being related to the pandemic. In fact, wellbeing was shown to be highly elastic in this period indicating a national level of resilience which cut across the usually observed health inequalities.

scholarly journals How is the COVID-19 lockdown impacting the mental health of parents of school-age children in the UK? A cross-sectional online survey

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e043397
Author(s):  
Austen El-Osta ◽  
Aos Alaa ◽  
Iman Webber ◽  
Eva Riboli Sasco ◽  
Emmanouil Bagkeris ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Social Isolation ◽  
Online Survey ◽  
Female Gender ◽  
School Age Children ◽  
School Age ◽  
Cross Sectional ◽  
The Uk ◽  
The Impact

ObjectiveInvestigate the impact of the COVID-19 lockdown on feelings of loneliness and social isolation in parents of school-age children.DesignCross-sectional online survey of parents of primary and secondary school-age children.SettingCommunity setting.Participants1214 parents of school-age children in the UK.MethodsAn online survey explored the impact of lockdown on the mental health of parents with school-age children, and in particular about feelings of social isolation and loneliness. Associations between the UCLA Three-Item Loneliness Scale (UCLATILS), the Direct Measure of Loneliness (DMOL) and the characteristics of the study participants were assessed using ordinal logistic regression models.Main outcome measuresSelf-reported measures of social isolation and loneliness using UCLATILS and DMOL.ResultsHalf of respondents felt they lacked companionship, 45% had feelings of being left out, 58% felt isolated and 46% felt lonely during the first 100 days of lockdown. The factors that were associated with higher levels of loneliness on UCLATILS were female gender, parenting a child with special needs, lack of a dedicated space for distance learning, disruption of sleep patterns and low levels of physical activity during the lockdown. Factors associated with a higher DMOL were female gender, single parenting, parenting a child with special needs, unemployment, low physical activity, lack of a dedicated study space and disruption of sleep patterns during the lockdown.ConclusionsThe COVID-19 lockdown has increased feelings of social isolation and loneliness among parents of school-age children. The sustained adoption of two modifiable health-seeking lifestyle behaviours (increased levels of physical activity and the maintenance of good sleep hygiene practices) wmay help reduce feelings of social isolation and loneliness during lockdown.

scholarly journals The impact of sitting time and physical activity on mental health during COVID-19 lockdown

2021 ◽  
Author(s):  
Matthew Pears ◽  
Susanna Kola-Palmer ◽  
Liane Beretta De Azevedo
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Health Outcomes ◽  
Online Survey ◽  
Depression Score ◽  
Sitting Time ◽  
Multiple Stepwise Regression Analysis ◽  
Previous Diagnosis ◽  
The Uk ◽  
The Impact

Abstract Objective The primary aim of this study was to investigate the association between physical activity (PA) and sitting time on adults’ mental health (i.e., depression, anxiety and wellbeing) and the influence of mediators and confounders. Methods An online survey was disseminated in the UK between May and June 2020. A total of 284 participants (33.5 ± 12.4 years) self-reported their PA, sitting time and mental health through validated questionnaires. Results Multiple stepwise regression analysis revealed that being of younger age, female, on a lower income, with one or more comorbid health conditions, with a previous diagnosis of mood disorder and increased sitting time independently correlated with higher depression scores (F (13,219) = 12.31, p < 0.001), and explained 42% of the variance. Similar results were found for wellbeing where socio-demographic, health outcomes and sitting time influenced the subjective wellbeing (F (14,218) = 5.77, p < 0.001, 27% variance), although only socio-demographic and health outcomes contributed to the variation in anxiety score (F (13,219) = 7.84, p < 0.001, 32% variance). PA did not explain variation when sitting time was taken into account in any of the models. Combined analysis revealed that participants with lower sedentary time (< 8 h) and with both low or moderate and high PA presented a significantly lower depression score [low PA: (B = −2.7, 95% CI −4.88, −0.52); moderate and high PA (B = −2.7, −4.88, −0.52)]. Conclusion Sitting time was strongly associated with adverse mental health during COVID-19 lockdown and should be considered in future public health recommendations.

Leveraging Twitter Using Artificial Intelligence to Explore Mental Health Insights in the UK During the COVID-19 Pandemic (Preprint)

2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  
Keyword(s):  
Mental Health ◽  
Artificial Intelligence ◽  
Language Processing ◽  
Mental Health Problems ◽  
Well Being ◽  
Research Activity ◽  
Health Crisis ◽  
Key Topics ◽  
The Uk ◽  
The Impact

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.

scholarly journals IMPACT OF COVID-19 PANDEMIC ON MENTAL HEALTH AND ASSOCIATED RISK FACTORS

2021 ◽  
Vol 56 (5) ◽  
pp. 213-224
Author(s):  
Jung Nam Sohn
Keyword(s):  
Mental Health ◽  
Suicidal Ideation ◽  
Online Survey ◽  
Common Factor ◽  
National Level ◽  
Intolerance Of Uncertainty ◽  
Health Promotion Program ◽  
Sufficient Information ◽  
Individual Level ◽  
The Impact

This descriptive study provides basic data for developing a mental health promotion program by analyzing the mental health status under the impact of COVID-19 and verifying the factors affecting mental health. This study aims to identify the prevalence and associated factors of mental health after the COVID-19 pandemic. An online survey was conducted targeting a total of 156 Korean adults aged 19~64 years. Using the SPSS Win 19.0 program, the frequency, mean, t-test or ANOVA, X2-test, linear regression, and logistic regression analysis were performed. A total of 31.4%, 20.5%, and 12.8% of all subjects classified depression, anxiety, and suicidal ideation risk, respectively, and intolerance of uncertainty affected depression (β = .51) and anxiety (β = .63). In addition to intolerance of uncertainty, self-efficacy (β = -.16) was a factor affecting depression. The variables explain 35% of depression and 44% of anxiety. Further, employment status affected suicidal ideation, which increased the risk of suicidal ideation 2.71-fold with unemployed status. This paper is novel because it seeks to find that the intolerance of uncertainty was the common factor affecting mental health during COVID-19. The early detection of risk due to COVID-19 and the intolerance of uncertainty are common factors underlying mental health issues, underscoring the need for cognitive interventions at the individual level and sufficient information and psychological support related to the COVID-19 at the national level.

scholarly journals Levels and Prevalence of Mental Health Functioning in Canadian University Student-Athletes

2018 ◽  
Vol 48 (2) ◽  
pp. 149-168 ◽  
Author(s):  
Krista J. Van Slingerland ◽  
Natalie Durand-Bush ◽  
Scott Rathwell
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Alcohol Use ◽  
Student Athletes ◽  
Online Survey ◽  
Well Being ◽  
Living Situation ◽  
Mental Health Functioning ◽  
Health Functioning ◽  
The Impact

We examined the level and prevalence of mental health functioning (MHF) in intercollegiate student-athletes from 30 Canadian universities, and the impact of time of year, gender, alcohol use, living situation, year of study, and type of sport on MHF. An online survey completed in November 2015 (N = 388) and March 2016 (n = 110) revealed that overall, MHF levels were moderate to high, and more student-athletes were flourishing than languishing. MHF levels did not significantly differ across time based on gender, alcohol use, living situation, year of study, and type of sport. Eighteen percent reported a previous mental illness diagnosis and yet maintained moderate MHF across time. These findings support Keyes’ (2002) dual-continua model, suggesting that the presence of mental illness does not automatically imply low levels of well-being and languishing. Nonetheless, those without a previous diagnosis were 3.18 times more likely to be flourishing at Time 1 (November 2015).  

scholarly journals Attitudes About COVID-19 and Health: A Mixed-Methods Smartphone-App and Online Survey Study (Preprint)

2021 ◽  
Author(s):  
Anna M. Hood ◽  
Hanne Stotesbury ◽  
Jennifer Murphy ◽  
Melanie Kölbel ◽  
April Slee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Data Collection ◽  
Physical Health ◽  
Online Survey ◽  
Smartphone App ◽  
The Uk ◽  
The Impact ◽  
Monthly Survey

BACKGROUND Behavioral mitigation strategies to slow the spread of COVID-19 have resulted in sweeping lifestyle changes, with short and long-term psychological, well-being, and quality of life implications. The Attitudes About COVID-19 and Health (ATTACH) study focuses on understanding attitudes and beliefs whilst considering the impact on mental and physical health and the influence of broader demographic and geographic factors on attitudes, beliefs, and mental health burden. OBJECTIVE In this assessment of our first wave of data collection, we provide baseline cohort descriptives of ATTACH study participants in the United Kingdom (UK), United States of America (USA), and Mexico. Additionally, we assess responses to daily poll questions related to COVID-19 and conduct a cross-sectional analysis of baseline assessments collected in the UK between June 26 and October 31, 2020. METHODS The ATTACH study uses smartphone-app technology and online survey data collection. Participants completed poll questions twice daily related to COVID-19 and a monthly survey assessing mental health, social isolation, physical health, and quality of life. Poll question responses were graphed using 95% Clopper-Pearson (exact) tests with 95% confidence intervals. Pearson correlations, hierarchical linear regression analyses, and generalized linear models assessed relationships, predictors of self-reported outcomes, and group differences, respectively. RESULTS By October 31, 2020, 1405, 80, and 90 participants had consented to participate in the UK, USA, and Mexico, respectively. Descriptive data for the UK daily poll questions indicated that participants were generally following social distancing measures, but worry and negative impacts on families increased as the pandemic progressed. Although participants generally reported feeling that the reasons for current measures had been made clear, there was low trust that the government was doing everything in its power to meet public needs. In the UK, 1282 participants also completed a monthly survey (95% white, 72% female, 21% key or essential workers). Nineteen percent of UK participants reported a pre-existing mental health disorder, 31% reported a pre-existing chronic medical illness, and 35% were over 65. Fifty-seven percent of participants reported being more sedentary since the pandemic began, and 41% reported reduced access to medical care. Those with poorer mental health outcomes lived in more deprived neighborhoods, in larger households (ps < .05), had more pre-existing mental health disorders and medical conditions, and were younger than 65 years (all ps < .001). CONCLUSIONS Communities who have been exposed to additional harm during the COVID-19 pandemic were experiencing worse mental outcomes. Factors including having a medical condition, or living in a deprived neighborhood or larger household were associated with heightened risk. Future longitudinal studies should investigate the link between COVID-19 exposure, mental health, and sociodemographic and residential characteristics.

scholarly journals Exploring the Association between Life Perceptions and Emotional Profiles in Taiwan: Empirical Evidence from the National Well-Being Indicators Survey

2020 ◽  
Vol 17 (12) ◽  
pp. 4209
Author(s):  
Mei-Yin Kuan ◽  
Jiun-Hao Wang ◽  
Yu-Chang Liou ◽  
Li-Pei Peng
Keyword(s):  
Mental Health ◽  
Emotional Regulation ◽  
Positive Emotions ◽  
Negative Emotion ◽  
Pearson Correlation ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Subjective Well Being ◽  
Life Domains ◽  
Least Squares Regression

Most of the studies on subjective well-being have focused on positive emotions. The adverse effect of negative emotions on mental health has been overlooked. This study investigates the extent to which specific life perceptions are associated with emotional profiles, and explores relevant factors that effectively enhance subjective well-being. The data were drawn from 4656 respondents in the 2015 National Well-being Indicators Survey in Taiwan. T-test, ANOVA, Pearson correlation, and ordinary least squares regression were conducted. The results reveal that perceptions of all life domains are positively associated with life satisfaction and happiness. Depression and worry are negatively associated with most of the life perceptions, except for environmental quality. These results demonstrate that the emotional profile approach sheds light on current literature on subjective well-being, and suggests that strategies to increase well-being should take positive and negative emotion into account simultaneously. The findings contribute by confirming which life domains can produce the best or worst outcomes in emotional regulation and positively influence mental health. Given that personal safety and the future security of external types is the most crucial factor within the emotional profiles, social welfare and protection programs would be an important strategy to increase subjective well-being.

scholarly journals Psychological distress and resilience in a sample of Adolescents and Young Adults with cancer during the COVID-19 pandemic

2021 ◽  
Author(s):  
Clare Jacobson ◽  
Rebecca Mulholland ◽  
Nicola Miller ◽  
Laura Baker ◽  
Daniel Glazer ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Cancer Treatment ◽  
Online Survey ◽  
Protective Factor ◽  
Care Delivery ◽  
Self Report ◽  
Patient Health ◽  
The Uk ◽  
The Impact

AbstractBACKGROUNDAdolescents and young people (AYA) with cancer are at greater risk of psychological distress which can impact treatment. COVID-19 has resulted in changes to cancer care delivery and AYA have been disproportionately affected by economic and educational effects of COVID-19, potentially impacting on mental health. Understanding the impact of COVID-19 on AYA with cancer is important to inform care.METHODSOnline survey of 16-24 year olds receiving cancer treatment at 8 cancer centres in the UK in December 2020. We measured: self-perceived increased anxiety since COVID-19, impact of COVID-19 on treatment, life and relationships and used the 8-item Patient Health Questionnaire(PHQ-8), 7-item Generalised Anxiety Disorder Scale(GAD) and the 2-item Connor-Davidson Resilience Scale(CD-RISC).RESULTS112 AYA participated (17.8% of total eligible). 62.8% were female, 67.3% were 21-24 years. 83% were white. 59.8% had previously experienced mental health difficulties. 67.9% received cancer treatment during the pandemic and 33.9% were diagnosed during the pandemic. 78.6% reported COVID-19 having a significant impact on their life, 55.4% on their key relationship and 39.3% on their treatment. 79% reported experiencing some degree of increased anxiety since COVID-19.43.4% had moderate-severe PHQ-8 scores and 37.1% for GADS-7. Self-report of impact on life was associated with greater anxiety during COVID-19 and moderate-severe PHQ-8 score (OR 3.64, 95% CI 2.52 to 19.40, p <0.01; OR 5.23, 95%CI 1.65 to 16.56, p < 0.01). Impact on relationships was associated with greater anxiety and moderate-severe GADS-7and PHQ-8 score (OR 2.89, 95% CI 1.11 to 7.54, p = 0,03; OR 3.54, 95% CI 2.32 to 15.17, p<0.01; OR 2.42, 95% CI 1.11 to 5.25, p =0.03). Greater CD-RISC score was associated with lower risk of anxiety and mod-severe GADS-7and PHQ-8 scores (OR 0.58, 95%CI 0.41 to 0.81, p <0.01; OR 0.55 95% CI 0.4 to 0.72, p <0.01; OR 0.52, 95% CI 0.38 to 0.69, p <0.01)CONCLUSIONSWe found high levels of psychological distress in AYA with cancer, which is important knowledge for clinical teams working with this age group. Perceived impact of COVID-19 on relationships and life was predictive of poorer mental health, with resilience a potential protective factor.

scholarly journals Empirically Modeling the Energy Implications of Cool Roof Retrofits

2020 ◽  
Vol 6 ◽  
Author(s):  
Michael Blackhurst
Keyword(s):  
Energy Use ◽  
Secondary Data ◽  
Theoretical Models ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Net Benefit ◽  
Significance Level ◽  
Treated Sample ◽  
Individual Household ◽  
The Impact

The energy effects of roofs have primarily been studied using theoretical models. However, empirical methods are needed for validation or when not all drivers of energy change can be observed. This study used mixed empirical techniques to estimate the impact of whitening existing roofs. Two years of hourly site cooling energy use were collected for 114 homes in Austin, TX. Seven properties selected to have their roofs coated white at no charge, imitating incentive policies. The empirical results are mixed, primarily limited by the small treated sample size. Individual household comparisons generally demonstrate statistically significant impacts of whitening, ranging from 14% to 49.2% reductions in daytime site cooling energy use and a 9.7% increase to a 40.3% decrease in nighttime site cooling energy use. Ordinary least squares regression estimates statistically significant mean daytime reductions of 9.7% but no significant nighttime effects. However, clustering the standard errors by household substantially reduces the significance level. Tweedie regression, which better accommodates slightly inflated zeros in the sample, demonstrates significant daytime and nighttime reductions of 14.3% and 5.5%, respectively. A life-cycle costs analysis using a mix of primary and secondary data explored the secondary benefit of delaying roof replacement resulting from the added protection of the coating material. Absent this delay, whitening would pay for itself in only 41% of simulations with a median net cost of $310 and simple payback of 22 years. Including a benefit to delay roof replacement, the median payback period is 1 year and the median net benefit is $310 across a range of assumptions. However, the benefits of whitening are only robust for older roofs and longer service lives for the coating. For roofs older than 10 years of age, most simulations reflect net benefits if the coating lasts at least 5 years.

scholarly journals THE INFLUENCE OF URBAN PLANNING ON MENTAL HEALTH. CASE STUDY: FEDERAL TERRITORY OF KUALA LUMPUR

2020 ◽  
Vol 18 (14) ◽  
Author(s):  
Marlyana Azyyati Marzukhi ◽  
Nur Masyitah Ghazali ◽  
Oliver Hoon Leh Ling ◽  
Nurul Shakila Khalid ◽  
Siti Mazwin Kamaruddin ◽  
...  
Keyword(s):  
Mental Health ◽  
Land Use ◽  
Urban Planning ◽  
Low Cost ◽  
Secondary Data ◽  
Well Being ◽  
Kuala Lumpur ◽  
Depression Anxiety Stress Scale ◽  
Development And Environment ◽  
The Impact

The health impacts of the development and environment have been widely assessed, but little is known about the impact of physical characteristics of urban planning on people's mental well-being. Thus, this research is crucial to understand the mental health challenges of urban population in Malaysia. The objective of this research is to examine the influence of urban planning on mental health, particularly the attributes of urban planning, density and land use, as well as their potential relation to psychological stress, depression and anxiety. The study was carried out at low-cost flats at Pantai Dalam in Federal Territory of Kuala Lumpur. Besides the secondary data collection and site observation, a survey in a form of questionnaire that used Depression Anxiety Stress Scale (DASS-21) was distributed. The findings showed that density and land use contributed to mental disorders. The research findings can be applied by government agencies, professionals and private sectors to plan healthier urban physical environment. This research will add to the growing literature that suggests the importance of the built environment in shaping mental health.

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