Alcohol use in Australia during the early days of the COVID‐19 pandemic: Initial results from the COLLATE project

Aim The effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic...

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Published in:Psychiatry and clinical neurosciences Vol. 74; no. 10; pp. 542 - 549
Main Authors: Neill, Erica, Meyer, Denny, Toh, Wei Lin, Rheenen, Tamsyn Elizabeth, Phillipou, Andrea, Tan, Eric Josiah, Rossell, Susan Lee
Format: Journal Article
Language:English
Published: Melbourne John Wiley & Sons Australia, Ltd 01.10.2020
Wiley Subscription Services, Inc
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ISSN:1323-1316, 1440-1819, 1440-1819
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Abstract Aim The effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic‐related (proximal) factors were associated with increased drinking in the wake of the COVID‐19 pandemic. Methods On 1 April 2020, 5158 Australians completed a survey from the COvid‐19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID‐19 pandemic. Results Distal factors, including heavier drinking pre‐pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID‐19 pandemic environment. Female sex and self‐reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health‐care worker were not associated with increased drinking. Conclusion These results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre‐pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.
AbstractList The effects of social isolation measures used to control the spread of COVID-19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic-related (proximal) factors were associated with increased drinking in the wake of the COVID-19 pandemic. On 1 April 2020, 5158 Australians completed a survey from the COvid-19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID-19 pandemic. Distal factors, including heavier drinking pre-pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID-19 pandemic environment. Female sex and self-reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health-care worker were not associated with increased drinking. These results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre-pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.
The effects of social isolation measures used to control the spread of COVID-19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic-related (proximal) factors were associated with increased drinking in the wake of the COVID-19 pandemic.AIMThe effects of social isolation measures used to control the spread of COVID-19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic-related (proximal) factors were associated with increased drinking in the wake of the COVID-19 pandemic.On 1 April 2020, 5158 Australians completed a survey from the COvid-19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID-19 pandemic.METHODSOn 1 April 2020, 5158 Australians completed a survey from the COvid-19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID-19 pandemic.Distal factors, including heavier drinking pre-pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID-19 pandemic environment. Female sex and self-reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health-care worker were not associated with increased drinking.RESULTSDistal factors, including heavier drinking pre-pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID-19 pandemic environment. Female sex and self-reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health-care worker were not associated with increased drinking.These results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre-pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.CONCLUSIONThese results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre-pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.
AimThe effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic‐related (proximal) factors were associated with increased drinking in the wake of the COVID‐19 pandemic.MethodsOn 1 April 2020, 5158 Australians completed a survey from the COvid‐19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID‐19 pandemic.ResultsDistal factors, including heavier drinking pre‐pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID‐19 pandemic environment. Female sex and self‐reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health‐care worker were not associated with increased drinking.ConclusionThese results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre‐pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.
Aim The effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic‐related (proximal) factors were associated with increased drinking in the wake of the COVID‐19 pandemic. Methods On 1 April 2020, 5158 Australians completed a survey from the COvid‐19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID‐19 pandemic. Results Distal factors, including heavier drinking pre‐pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID‐19 pandemic environment. Female sex and self‐reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health‐care worker were not associated with increased drinking. Conclusion These results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre‐pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.
Author Phillipou, Andrea
Tan, Eric Josiah
Neill, Erica
Rheenen, Tamsyn Elizabeth
Meyer, Denny
Rossell, Susan Lee
Toh, Wei Lin
AuthorAffiliation 2 Department of Mental Health St Vincent's Hospital Melbourne Australia
1 Centre for Mental Health, Faculty of Health, Arts & Design Swinburne University of Technology Melbourne Australia
3 Department of Psychiatry University of Melbourne Melbourne Australia
4 Melbourne Neuropsychiatry Centre, Department of Psychiatry University of Melbourne & Melbourne Health Melbourne Australia
5 Department of Mental Health Austin Hospital Melbourne Australia
AuthorAffiliation_xml – name: 1 Centre for Mental Health, Faculty of Health, Arts & Design Swinburne University of Technology Melbourne Australia
– name: 3 Department of Psychiatry University of Melbourne Melbourne Australia
– name: 4 Melbourne Neuropsychiatry Centre, Department of Psychiatry University of Melbourne & Melbourne Health Melbourne Australia
– name: 2 Department of Mental Health St Vincent's Hospital Melbourne Australia
– name: 5 Department of Mental Health Austin Hospital Melbourne Australia
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  orcidid: 0000-0002-6920-2159
  surname: Neill
  fullname: Neill, Erica
  email: eneill@swin.edu.au
  organization: University of Melbourne
– sequence: 2
  givenname: Denny
  surname: Meyer
  fullname: Meyer, Denny
  organization: Swinburne University of Technology
– sequence: 3
  givenname: Wei Lin
  surname: Toh
  fullname: Toh, Wei Lin
  organization: Swinburne University of Technology
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  givenname: Tamsyn Elizabeth
  surname: Rheenen
  fullname: Rheenen, Tamsyn Elizabeth
  organization: University of Melbourne & Melbourne Health
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  givenname: Andrea
  surname: Phillipou
  fullname: Phillipou, Andrea
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  organization: St Vincent's Hospital
– sequence: 7
  givenname: Susan Lee
  surname: Rossell
  fullname: Rossell, Susan Lee
  organization: St Vincent's Hospital
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32602150$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright 2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology
2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology.
2020 The Author. Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology
Copyright_xml – notice: 2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology
– notice: 2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology.
– notice: 2020 The Author. Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology
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Issue 10
Keywords COVID-19
alcohol
stress
depression
mental illness
Language English
License 2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology.
This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
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Snippet Aim The effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences...
The effects of social isolation measures used to control the spread of COVID-19 are negatively impacting the mental health of many. One of the consequences of...
AimThe effects of social isolation measures used to control the spread of COVID‐19 are negatively impacting the mental health of many. One of the consequences...
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StartPage 542
SubjectTerms Adolescent
Adult
Affect
Age Factors
Aged
alcohol
Alcohol Drinking - epidemiology
Alcohol Drinking - psychology
Alcohol use
Anxiety - epidemiology
Anxiety - psychology
Australia - epidemiology
COVID-19
Demography
depression
Depression - epidemiology
Depression - psychology
Drinking behavior
Employment - psychology
Employment - statistics & numerical data
Exercise - psychology
Feeding Behavior - psychology
Female
Health care
Humans
Income - statistics & numerical data
Life Style
Logistic Models
Male
Mental disorders
Mental health
Mental health care
mental illness
Middle Aged
Mood
Pandemics
Physical Distancing
Regular
Residence Characteristics - statistics & numerical data
Risk Factors
Sex Factors
Sleep
Social interactions
Social Isolation - psychology
stress
Stress, Psychological - epidemiology
Stress, Psychological - psychology
Unemployment - psychology
Unemployment - statistics & numerical data
Young Adult
Title Alcohol use in Australia during the early days of the COVID‐19 pandemic: Initial results from the COLLATE project
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