Literature DB >> 28523939

Prevalence of psychological distress: How do Australia and Canada compare?

Joanne C Enticott1,2, Elizabeth Lin3,4,5, Frances Shawyer1, Grant Russell6,7,8, Brett Inder9, Scott Patten10, Graham Meadows1,11,12.   

Abstract

OBJECTIVE: To compare equivalent population-level mental health indicators in Canada and Australia, and articulate recommendations to support equitable mental health services. These are two somewhat similar resource-rich countries characterized by extensive non-metropolitan and rural regions as well as significant areas of socioeconomic deprivation.
METHODS: A cross-national epidemiology and equity study: primary outcome was Kessler Psychological Distress Scale (K10) in recent national surveys. A secondary outcome was mental disorders rate since these surveys were 5-years apart.
RESULTS: Elevated distress, defined by K10 scores (0-40 range) of 12 and over, affected 11.1% Australians and 12.0% Canadians. Elevated distress in both countries affected more people in the lowest income quintile (21-27%) compared to the richest (6%). In the lowest income quintile, 1-in-4 Australians and 1-in-5 Canadians reported elevated distress - twice the national average in both countries. Australians in the lowest income quintile (over 5 million people) have a significantly higher risk by over a 5% for elevated distress compared to their low-income Canadian counterparts. After adjusting for effects of age and gender, the relative odds in the lowest quintile compared to richest was 6.4 for Australians and 3.5 for Canadians, which remained significantly different thus confirming greater inequity in Australia. Mental disorders affected approximately 1-in-10 people in both countries.
CONCLUSIONS: This adds to the mental health prevalence monitoring in these two countries by supporting an overall prevalence of elevated distress in approximately 1-in-10 people. It supports large-scale public health interventions that target elevated distress in people with low incomes to order to achieve the biggest impact, and, to reduce the greater inequity in mental health indicators in Australians, policy-makers should consider eliminating gap-fees as they are illegal in Canada. As encouraged by World Health Organization, we highlight the importance of such population-level studies so that cross-national results can be reliably compared.

Entities:  

Keywords:  Mental health; concentration index; distress; epidemiology; equity; mental disorders

Mesh:

Year:  2017        PMID: 28523939     DOI: 10.1177/0004867417708612

Source DB:  PubMed          Journal:  Aust N Z J Psychiatry        ISSN: 0004-8674            Impact factor:   5.744


  11 in total

1.  Income-based inequities in access to mental health services in Canada.

Authors:  Mary Bartram
Journal:  Can J Public Health       Date:  2019-04-15

2.  Does Introducing Public Funding for Allied Health Psychotherapy Lead to Reductions in Private Insurance Claims? Lessons for Canada from the Australian Experience.

Authors:  Sandra Diminic; Mary Bartram
Journal:  Can J Psychiatry       Date:  2018-06-20       Impact factor: 4.356

3.  COVID-19 Related Psychological Distress, Fear and Coping: Identification of High-Risk Groups in Bangladesh.

Authors:  Muhammad Aziz Rahman; Shaila Rahman; Amit Wazib; S M Yasir Arafat; Zulfia Zinat Chowdhury; Bhuiyan Mohammad Mahtab Uddin; Mufti Munsurar Rahman; Ahmed Suparno Bahar Moni; Sheikh M Alif; Farhana Sultana; Masudus Salehin; Sheikh Mohammed Shariful Islam; Wendy Cross; Tamanna Bahar
Journal:  Front Psychiatry       Date:  2021-08-13       Impact factor: 5.435

4.  Discrimination reported by older adults living with mental health conditions: types, contexts and association with healthcare barriers.

Authors:  Jeromey B Temple; Bianca Brijnath; Joanne Enticott; Ariane Utomo; Ruth Williams; Margaret Kelaher
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2020-07-21       Impact factor: 4.328

5.  Perinatal Distress and Depression in Culturally and Linguistically Diverse (CALD) Australian Women: The Role of Psychosocial and Obstetric Factors.

Authors:  Felix Akpojene Ogbo; Osita Kingsley Ezeh; Mansi Vijaybhai Dhami; Sabrina Naz; Sarah Khanlari; Anne McKenzie; Kingsley Agho; Andrew Page; Jane Ussher; Janette Perz; John Eastwood
Journal:  Int J Environ Res Public Health       Date:  2019-08-16       Impact factor: 3.390

6.  Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia.

Authors:  Muhammad Aziz Rahman; Nazmul Hoque; Sheikh M Alif; Masudus Salehin; Sheikh Mohammed Shariful Islam; Biswajit Banik; Ahmed Sharif; Nashrin Binte Nazim; Farhana Sultana; Wendy Cross
Journal:  Global Health       Date:  2020-10-08       Impact factor: 4.185

7.  Reliability of the tools used to examine psychological distress, fear of COVID-19 and coping amongst migrants and non-migrants in Australia.

Authors:  Muhammad Aziz Rahman; Masudus Salehin; Sheikh Mohammed Shariful Islam; Sheikh M Alif; Farhana Sultana; Ahmed Sharif; Nazmul Hoque; Nashrin Binte Nazim; Wendy M Cross
Journal:  Int J Ment Health Nurs       Date:  2021-02-08       Impact factor: 5.100

8.  Mental Health in Australia: Psychological Distress Reported in Six Consecutive Cross-Sectional National Surveys From 2001 to 2018.

Authors:  Joanne Enticott; Shrinkhala Dawadi; Frances Shawyer; Brett Inder; Ellie Fossey; Helena Teede; Sebastian Rosenberg; Ingrid Ozols Am; Graham Meadows
Journal:  Front Psychiatry       Date:  2022-04-01       Impact factor: 5.435

9.  Association between pregnancy intention and psychological distress among women exposed to different levels of restrictions during the COVID-19 pandemic in Australia.

Authors:  Danielle A J M Schoenaker; Christie Bennett; Jessica A Grieger; Cheryce L Harrison; Briony Hill; Joanne Enticott; Lisa J Moran; Helena J Teede; Sharleen L O'Reilly; Siew Lim
Journal:  PLoS One       Date:  2022-08-25       Impact factor: 3.752

10.  Examining social isolation and loneliness in combination in relation to social support and psychological distress using Canadian Longitudinal Study of Aging (CLSA) data.

Authors:  Verena H Menec; Nancy E Newall; Corey S Mackenzie; Shahin Shooshtari; Scott Nowicki
Journal:  PLoS One       Date:  2020-03-23       Impact factor: 3.240

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