Mental health before and during the COVID-19 pandemic in two longitudinal UK population cohorts

The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences. To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups...

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Published in:British journal of psychiatry Vol. 218; no. 6; pp. 334 - 343
Main Authors: Kwong, Alex S. F., Pearson, Rebecca M., Adams, Mark J., Northstone, Kate, Tilling, Kate, Smith, Daniel, Fawns-Ritchie, Chloe, Bould, Helen, Warne, Naomi, Zammit, Stanley, Gunnell, David J., Moran, Paul A., Micali, Nadia, Reichenberg, Abraham, Hickman, Matthew, Rai, Dheeraj, Haworth, Simon, Campbell, Archie, Altschul, Drew, Flaig, Robin, McIntosh, Andrew M., Lawlor, Deborah A., Porteous, David, Timpson, Nicholas J.
Format: Journal Article
Language:English
Published: Cambridge, UK Cambridge University Press 01.06.2021
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ISSN:0007-1250, 1472-1465, 1472-1465
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Abstract The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences. To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic. Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale. Depression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23-26%) compared with a pre-pandemic level of 13% (95% CI 12-14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression. These results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.
AbstractList BackgroundThe COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences.AimsTo quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic.MethodData were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale.ResultsDepression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23–26%) compared with a pre-pandemic level of 13% (95% CI 12–14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression.ConclusionsThese results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.
The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences.BACKGROUNDThe COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences.To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic.AIMSTo quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic.Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale.METHODData were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale.Depression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23-26%) compared with a pre-pandemic level of 13% (95% CI 12-14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression.RESULTSDepression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23-26%) compared with a pre-pandemic level of 13% (95% CI 12-14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression.These results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.CONCLUSIONSThese results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.
The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences. To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic. Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale. Depression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23-26%) compared with a pre-pandemic level of 13% (95% CI 12-14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression. These results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.
Author Timpson, Nicholas J.
Lawlor, Deborah A.
Haworth, Simon
Campbell, Archie
Tilling, Kate
Bould, Helen
Flaig, Robin
Adams, Mark J.
Fawns-Ritchie, Chloe
Moran, Paul A.
Hickman, Matthew
Reichenberg, Abraham
Altschul, Drew
Pearson, Rebecca M.
Zammit, Stanley
Micali, Nadia
McIntosh, Andrew M.
Smith, Daniel
Kwong, Alex S. F.
Warne, Naomi
Porteous, David
Rai, Dheeraj
Gunnell, David J.
Northstone, Kate
AuthorAffiliation 1 MRC Integrative Epidemiology Unit, University of Bristol , UK ; Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and Division of Psychiatry, University of Edinburgh , UK
5 Department of Psychology, University of Edinburgh , UK
2 MRC Integrative Epidemiology Unit, University of Bristol , UK ; and Population Health Sciences, Bristol Medical School, University of Bristol , UK
3 Division of Psychiatry, University of Edinburgh , UK
12 1MRC Integrative Epidemiology Unit, University of Bristol , UK ; and Population Health Sciences, Bristol Medical School, University of Bristol , UK
7 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University , UK
8 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and National Institute of Health Research Biomedical Research Centre, Universi
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– name: 16 MRC Integrative Epidemiology Unit at the University of Bristol , UK ; and Population Health Sciences, Bristol Medical School, University of Bristol , UK
– name: 11 Department of Psychiatry, Icahn School of Medicine at Mount Sinai , New York , USA
– name: 4 Population Health Sciences, Bristol Medical School, University of Bristol , UK
– name: 5 Department of Psychology, University of Edinburgh , UK
– name: 3 Division of Psychiatry, University of Edinburgh , UK
– name: 13 Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh , UK ; and Usher Institute for Population Health Sciences and Informatics, University of Edinburgh , UK
– name: 2 MRC Integrative Epidemiology Unit, University of Bristol , UK ; and Population Health Sciences, Bristol Medical School, University of Bristol , UK
– name: 10 Great Ormond Street Institute of Child Health, University College London , UK ; Department of Psychiatry, Faculty of Medicine, University of Geneva , Switzerland ; and Department of Paediatrics Gynaecology and Obstetrics, Faculty of Medicine, University of Geneva , Switzerland
– name: 14 Centre for Genomic and Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh , UK
– name: 7 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University , UK
– name: 9 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; National Institute of Health Research Biomedical Research Centre, University of Bristol , UK ; and Avon and Wiltshire Mental Health Partnership NHS Trust, UK
– name: 1 MRC Integrative Epidemiology Unit, University of Bristol , UK ; Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and Division of Psychiatry, University of Edinburgh , UK
– name: 15 MRC Integrative Epidemiology Unit at the University of Bristol , UK ; Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and National Institute of Health Research Biomedical Research Centre, University of Bristol , UK
– name: 6 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and Gloucestershire Health and Care NHS Foundation Trust, UK
– name: 8 Population Health Sciences, Bristol Medical School, University of Bristol , UK ; and National Institute of Health Research Biomedical Research Centre, University of Bristol , UK
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  surname: Kwong
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  email: alex.kwong@bristol.ac.uk
  organization: MRC Integrative Epidemiology Unit, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, UK; and Division of Psychiatry, University of Edinburgh, UK
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  organization: MRC Integrative Epidemiology Unit, University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, UK; and Division of Psychiatry, University of Edinburgh, UK
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  surname: Fawns-Ritchie
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  organization: Department of Psychology, University of Edinburgh, UK
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  surname: Bould
  fullname: Bould, Helen
  organization: Population Health Sciences, Bristol Medical School, University of Bristol, UK; and Gloucestershire Health and Care NHS Foundation Trust, UK
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  surname: Warne
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– sequence: 10
  givenname: Stanley
  surname: Zammit
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  givenname: David J.
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  surname: Moran
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  givenname: Nadia
  orcidid: 0000-0001-5571-2273
  surname: Micali
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  organization: Great Ormond Street Institute of Child Health, University College London, UK; Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland; and Department of Paediatrics Gynaecology and Obstetrics, Faculty of Medicine, University of Geneva, Switzerland
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  givenname: Abraham
  surname: Reichenberg
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  organization: Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
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  surname: Rai
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  surname: Campbell
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  surname: Flaig
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  givenname: Andrew M.
  orcidid: 0000-0002-0198-4588
  surname: McIntosh
  fullname: McIntosh, Andrew M.
  organization: Division of Psychiatry, University of Edinburgh, UK
– sequence: 22
  givenname: Deborah A.
  surname: Lawlor
  fullname: Lawlor, Deborah A.
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, UK; Population Health Sciences, Bristol Medical School, University of Bristol, UK; and National Institute of Health Research Biomedical Research Centre, University of Bristol, UK
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  givenname: David
  surname: Porteous
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  givenname: Nicholas J.
  surname: Timpson
  fullname: Timpson, Nicholas J.
  organization: MRC Integrative Epidemiology Unit at the University of Bristol, UK; and Population Health Sciences, Bristol Medical School, University of Bristol, UK
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33228822$$D View this record in MEDLINE/PubMed
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Copyright Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists
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Keywords COVID-19
ALSPAC
anxiety disorders
depressive disorders
generation Scotland
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Snippet The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve...
BackgroundThe COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to...
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StartPage 334
SubjectTerms Adolescent
Adult
Adversity
Age
Anxiety
Anxiety disorders
Asthma
At risk populations
Child
Coronaviruses
COVID-19
Emotions
Ethics
Families & family life
Female
Generalized anxiety disorder
Health planning
Health status
Humans
Indexes
Longitudinal Studies
Medical research
Mental depression
Mental disorders
Mental Health
Middle Aged
Mitigation
Mood
Obesity
Pandemics
Parent-child relations
Parents & parenting
Psychiatry
Questionnaires
SARS-CoV-2
Severe acute respiratory syndrome
Sociodemographics
United Kingdom - epidemiology
Well being
Young women
Youth
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Title Mental health before and during the COVID-19 pandemic in two longitudinal UK population cohorts
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Volume 218
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