scholarly journals Who is Left Behind? Altruism of Giving, Happiness and Mental Health during the Covid-19 Period in the UK

2020 ◽  
Author(s):  
Eleftherios Giovanis ◽  
Oznur Ozdamar
Keyword(s):  
Mental Health ◽  
Well Being ◽  
Ethnic Background ◽  
Subjective Well Being ◽  
Significant Drop ◽  
Using Data ◽  
The Uk ◽  
Difficult Times ◽  
The Impact ◽  
Racial Ethnic

AbstractThe UK government has decided to implement lockdown measures at the end of March 2020 as a response to the outbreak and spread of the Covid-19 pandemic. As a consequence, households have experienced job losses and a significant drop in their finances. During these unprecedented and difficult times, people provide financial assistance to those who are in need and have to cope with falls in their living standards. In this study we are interested to investigate the subjective well-being, which is expressed by mental health and components of general happiness, of the givers rather than of receivers. We apply a difference-in-differences framework to investigate the impact of altruism on the givers’ SWB in the UK. Altruism is denoted by transfers made to adult children, parents, siblings, and friends. Using the DiD estimator and the estimated coefficient of the household income we calculate the implicit willingness-to-pay (WTP) for altruism. We perform various regressions by gender and racial-ethnic background using data from the UK Household Longitudinal Study (UKHLS). The analysis shows that altruistic behaviours impact different domains of SWB between men and women, as well as, among people with different racial-ethnic background.

scholarly journals Who is Left Behind? Altruism of Giving, Happiness and Mental Health during the Covid-19 Period in the UK

2020 ◽  
Author(s):  
Eleftherios Giovanis ◽  
Oznur Ozdamar
Keyword(s):  
Mental Health ◽  
Well Being ◽  
Ethnic Background ◽  
Living Standards ◽  
Subjective Well Being ◽  
Significant Drop ◽  
Using Data ◽  
The Uk ◽  
The Impact ◽  
Racial Ethnic

Abstract The UK government has decided to implement lockdown measures in the end of March 2020 as a response to the outbreak and spread of the Covid-19 pandemic. As a consequence, households have experienced job losses and a significant drop in their finances and living standards. During these unprecedented and difficult times, people provide financial assistance to those who are in need and have to cope with falls in their living standards. In this study we are interested to investigate the subjective well-being (SWB), which is expressed by mental health and components of general happiness, of the givers rather than of receivers. We apply a difference-in-differences (DiD) framework to investigate the impact of altruism on the givers’ SWB in the UK. Altruism is denoted by transfers made to adult children, parents, siblings, and friends. Using the DiD estimator and the estimated coefficient of the household income we calculate the implicit willingness-to-pay (WTP) for altruism. We perform various regressions by gender and racial-ethnic background using data from the UK Household Longitudinal Study (UKHLS). The analysis shows that altruistic behaviours impact different domains of SWB between men and women, as well as, among people with different racial-ethnic background.

scholarly journals Income Losses and Subjective Well-Being: Gender and Ethnic Inequalities during the Covid-19 Lockdown Period in the UK

2021 ◽  
Author(s):  
Eleftherios Giovanis
Keyword(s):  
Coping Strategies ◽  
Well Being ◽  
Jel Classification ◽  
Subjective Well Being ◽  
Difference In Differences ◽  
Using Data ◽  
The Uk ◽  
The Impact ◽  
Life Satisfaction Approach ◽  
Detrimental Impact

Abstract COVID-19 has become a global health pandemic forcing governments introducing unprecedented steps to contain the spread of the virus. On the 23rd of March, 2020, the UK government addressed the nation to announce extraordinary measures as a response to slow down the spread of the coronavirus, which have influenced the well-being and finances of millions of people. As a result people had to make difficult adjustments and to follow different coping strategies in order to respond to income losses. The main objective of this study is to examine the impact of various coping strategies, due to the lockdown measures, on the respondents’ subjective well-being by gender and ethnic background. We apply a difference-in-differences framework using data from the UK Household Longitudinal Study (UKHLS) combined with the UKHLS COVID-19 survey conducted in April 2020. Furthermore, using the Life Satisfaction Approach (LSA), we estimate the well-being costs of the coping strategies adopted that denote the amount required to revert individual’s well-being into the levels were before Covid-19 period. The results show that coping strategies with the earning losses have a significant detrimental impact on well-being and the related costs range between £250-3,500, which are significantly varied by gender and ethnic group.JEL Classification: C1, I14, I31

scholarly journals Income Losses and Subjective Well-Being: Gender and Ethnic Inequalities during the Covid-19 Lockdown Period in the UK

2020 ◽  
Author(s):  
Eleftherios Giovanis ◽  
Oznur Ozdamar
Keyword(s):  
Coping Strategies ◽  
Well Being ◽  
Jel Classification ◽  
Subjective Well Being ◽  
Difference In Differences ◽  
Using Data ◽  
The Uk ◽  
The Impact ◽  
Life Satisfaction Approach ◽  
Detrimental Impact

Abstract COVID-19 has become a global health pandemic forcing governments introducing unprecedented steps to contain the spread of the virus. On the 23rd of March, 2020, the UK government addressed the nation to announce extraordinary measures as a response to slow down the spread of the coronavirus, which have influenced the well-being and finances of millions of people. As a result people had to make difficult adjustments and to follow different coping strategies in order to respond to income losses. The main objective of this study is to examine the impact of various coping strategies, due to the lockdown measures, on the respondents’ subjective well-being by gender and ethnic background. We apply a difference-in-differences framework using data from the UK Household Longitudinal Study (UKHLS) combined with the UKHLS COVID-19 survey conducted in April 2020. Furthermore, using the Life Satisfaction Approach (LSA), we estimate the well-being costs of the coping strategies adopted that denote the amount required to revert individual’s well-being into the levels were before Covid-19 period. The results show that coping strategies with the earning losses have a significant detrimental impact on well-being and the related costs range between £250-3,500, which are significantly varied by gender and ethnic group. JEL Classification: C1, I14, I31

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 Longitudinal access and exposure to green-blue spaces and individual-level mental health and well-being: protocol for a longitudinal, population-wide record-linked natural experiment

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e027289 ◽  
Author(s):  
Amy Mizen ◽  
Jiao Song ◽  
Richard Fry ◽  
Ashley Akbari ◽  
Damon Berridge ◽  
...  
Keyword(s):  
Mental Health ◽  
Natural Experiment ◽  
Research Programme ◽  
Well Being ◽  
Evidence Base ◽  
Academic Community ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Individual Level ◽  
The Impact

IntroductionStudies suggest that access and exposure to green-blue spaces (GBS) have beneficial impacts on mental health. However, the evidence base is limited with respect to longitudinal studies. The main aim of this longitudinal, population-wide, record-linked natural experiment, is to model the daily lived experience by linking GBS accessibility indices, residential GBS exposure and health data; to enable quantification of the impact of GBS on well-being and common mental health disorders, for a national population.Methods and analysisThis research will estimate the impact of neighbourhood GBS access, GBS exposure and visits to GBS on the risk of common mental health conditions and the opportunity for promoting subjective well-being (SWB); both key priorities for public health. We will use a Geographic Information System (GIS) to create quarterly household GBS accessibility indices and GBS exposure using digital map and satellite data for 1.4 million homes in Wales, UK (2008–2018). We will link the GBS accessibility indices and GBS exposures to individual-level mental health outcomes for 1.7 million people with general practitioner (GP) data and data from the National Survey for Wales (n=~12 000) on well-being in the Secure Anonymised Information Linkage (SAIL) Databank. We will examine if these associations are modified by multiple sociophysical variables, migration and socioeconomic disadvantage. Subgroup analyses will examine associations by different types of GBS. This longitudinal study will be augmented by cross-sectional research using survey data on self-reported visits to GBS and SWB.Ethics and disseminationAll data will be anonymised and linked within the privacy protecting SAIL Databank. We will be using anonymised data and therefore we are exempt from National Research Ethics Committee (NREC). An Information Governance Review Panel (IGRP) application (Project ID: 0562) to link these data has been approved.The research programme will be undertaken in close collaboration with public/patient involvement groups. A multistrategy programme of dissemination is planned with the academic community, policy-makers, practitioners and the public.

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 CovidLife: a resource to understand mental health, well-being and behaviour during the COVID-19 pandemic in the UK

2021 ◽  
Vol 6 ◽  
pp. 176
Author(s):  
Chloe Fawns-Ritchie ◽  
Drew M. Altschul ◽  
Archie Campbell ◽  
Charlotte Huggins ◽  
Clifford Nangle ◽  
...  
Keyword(s):  
Mental Health ◽  
Well Being ◽  
Study Data ◽  
Future Health ◽  
Health Records ◽  
Psychological Measures ◽  
Health Lifestyle ◽  
Generation Scotland ◽  
The Uk ◽  
The Impact

CovidLife is a longitudinal observational study designed to investigate the impact of the COVID-19 pandemic on mental health, well-being and behaviour in adults living in the UK. In total, 18,518 participants (mean age = 56.43, SD = 14.35) completed the first CovidLife questionnaire (CovidLife1) between April and June 2020. To date, participants have completed two follow-up assessments. CovidLife2 took place between July and August 2020 (n = 11,319), and CovidLife3 took place in February 2021 (n = 10,386). A range of social and psychological measures were administered at each wave including assessments of anxiety, depression, well-being, loneliness and isolation. Information on sociodemographic, health, and economic circumstances was also collected. Questions also assessed information on COVID-19 infections and symptoms, compliance to COVID-19 restrictions, and opinions on the UK and Scottish Governments’ handling of the pandemic. CovidLife includes a subsample of 4,847 participants from the Generation Scotland cohort (N~24,000, collected 2006-2011); a well-characterised cohort of families in Scotland with pre-pandemic data on mental health, physical health, lifestyle, and socioeconomic factors, along with biochemical and genomic data derived from biological samples. These participants also consented to their study data being linked to Scottish health records. CovidLife and Generation Scotland data can be accessed and used by external researchers following approval from the Generation Scotland Access Committee. CovidLife can be used to investigate mental health, well-being and behaviour during COVID-19; how these vary according to sociodemographic, health and economic circumstances; and how these change over time. The Generation Scotland subsample with pre-pandemic data and linkage to health records can be used to investigate the predictors of health and well-being during COVID-19 and the future health consequences of the COVID-19 pandemic.

scholarly journals The impact of the first UK Covid-19 lockdown on carers and people living with low prevalence dementia: results from the Rare Dementia Support survey

2020 ◽  
Author(s):  
Aida Suárez-González ◽  
Emma Harding ◽  
Nikki Zimmerman ◽  
Zoe Hoare ◽  
Emilie Brotherhood ◽  
...  
Keyword(s):  
Mental Health ◽  
Well Being ◽  
Care Homes ◽  
Cognitive Symptoms ◽  
Family Carers ◽  
People With Dementia ◽  
The Uk ◽  
Low Prevalence ◽  
Person With Dementia ◽  
The Impact

AbstractIntroductionThe public health measures imposed to contain Covid-19 during the first UK lockdown resulted in significant changes in the provision of community support and care for people with dementia. People with low prevalence and young-onset dementias often experience non-memory, behavioural or neuropsychiatric symptoms that require specialised support.ObjectiveWe explored the impact of the first Covid-19 lockdown on people living with low prevalence and young-onset dementia and their carers in the UK.MethodAn online survey, including eleven questions about the impact of the lockdown on both the person with dementia and their family caregivers was conducted. Participants were people living with dementia and caregivers who are members of the UK national-reach organisation Rare Dementia Support.Results184 carers and 24 people with dementia completed the survey. People with dementia experienced worsening of cognitive symptoms (70%), ability to do things (62%) and well-being (57%) according to their carers. Carers also reported a reduction in the support received for caring (55%). 93% of carers of people living in care homes reported a reduction in their ability to provide care. 26% of carers reported changes in the medication of the person with dementia during the lockdown. 74% of people with dementia reported decreased ability to connect with people socially.ConclusionsPeople with dementia experienced a worsening of dementia symptoms, removal of support and increased difficulty to connect with other people socially during the 1st wave of Covid-19. Carers encountered barriers to both receiving and providing support and a decline in their own mental health and well-being.Key points70 % of carers reported cognitive symptoms getting worse during the lockdown (e.g., the person with dementia being more disoriented and finding it more difficult to communicate).26 % of carers reported a change (initiation or increase) in medication in the person with dementia during the lockdown.79 % carers reported their own physical or mental health getting worse due to the lockdown. This increased to 93% when considering responses only from family carers of people living in care homes.93 % of family carers of people living in care homes found it harder to continue providing care and support for their relative due to Covid-19.

Report2: Impact of Covid-19 on young people aged 13-24 in the UK- preliminary findings

2020 ◽  
Author(s):  
Liat Levita ◽  
Jilly Gibson Miller ◽  
Todd K. Hartman ◽  
Jamie Murphy ◽  
Mark Shevlin ◽  
...  
Keyword(s):  
Mental Health ◽  
Young People ◽  
Data Collection ◽  
Additional Data ◽  
Well Being ◽  
Survey Study ◽  
Anxiety And Depression ◽  
Adult Study ◽  
The Uk ◽  
The Impact

A brief follow on report (from Report 1, see https://psyarxiv.com/uq4rn/). This report presents data on parents and their children's well being as a result of the COVID-19 pandemic from our adult survey study. In addition to presenting additional data showing a potentially significant increase in anxiety and depression in young people aged 13-24, as a consequence of COVID-19. Data collection for our Adult Study (Wave 2) took place between 22nd April and was ended on Friday, May 1st, here we report headline figures for the impact of Covid-19 on parents and their children. We have described our methods in a separate report (https://psyarxiv.com/wxe2n) and released two reports on our mental health outcomes from wave 1 (https://psyarxiv.com/hb6nq, https://psyarxiv.com/ydvc7).

Educational mismatch and job aspirations

2016 ◽  
Vol 37 (1) ◽  
pp. 115-134 ◽  
Author(s):  
Maria del Mar Salinas-Jiménez ◽  
Joaquín Artés ◽  
Javier Salinas-Jiménez
Keyword(s):  
Conditional Distribution ◽  
Well Being ◽  
European Social Survey ◽  
Subjective Well Being ◽  
Educational Mismatch ◽  
Content Type ◽  
Quantile Regression Model ◽  
Using Data ◽  
Education Effects ◽  
The Impact

Purpose – The purpose of this paper is to analyze the relationship between education, job aspirations and subjective well-being. This analysis is done across the entire well-being distribution and taking account of educational mismatches that could condition individuals’ satisfaction if education generates certain aspirations which are not met by the individuals. Design/methodology/approach – Using data from the European Social Survey, a quantile regression model is estimated. This approach allows one to assess the impact of the education variables at different points of the happiness conditional distribution. Findings – The results are consistent with the hypothesis that the impact of education on subjective well-being varies across the distribution, with education effects lower at the top of the happiness distribution. It is also found that education generates certain aspirations among individuals in regard to the job they expect to hold and that people suffer a psychological cost when those aspirations are not met. This “aspiration mechanism” seems however to weaken as one moves along the distribution. Originality/value – The central contribution of this paper lies in the treatment of job aspirations through different variables of educational mismatch. Although rising aspirations have often been highlighted as the main mechanism that could explain the weak relationship between education and subjective well-being, this mechanism has barely been analyzed empirically. Moreover, the effects of educational mismatch on individual satisfaction have only been analyzed at the mean of the conditional distribution. The value of this study is therefore twofold, focussing on the analysis across the entire well-being distribution of the aspiration mechanism generated by education in regard to the job an individual expects to hold.

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