Literature DB >> 28843625

Prevalence and predictors of distress associated with completion of an online survey assessing mental health and suicidality in the community.

Philip J Batterham1, Alison L Calear2, Natacha Carragher3, Matthew Sunderland4.   

Abstract

While there is evidence that mental health surveys do not typically increase distress, limited research has examined distress in online surveys. The study investigated whether completion of a 60-min online community-based mental health survey (n = 3620) was associated with reliable increases in psychological distress. 2.5% of respondents had a reliable increase in distress, compared to 5.0% with a reliable decrease, and decreased distress overall across the sample (Cohen's d = -0.22, p < 0.001). Initial depression/anxiety symptoms were associated with increased distress, but suicidality was not. Online mental health surveys are associated with low prevalence of increased distress.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Distress; Internet; Mental health; Suicide; Survey

Mesh:

Year:  2017        PMID: 28843625     DOI: 10.1016/j.psychres.2017.08.048

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  3 in total

1.  Assessing trauma and related distress in refugee youth and their caregivers: should we be concerned about iatrogenic effects?

Authors:  M Claire Greene; Jeremy C Kane; Paul Bolton; Laura K Murray; Milton L Wainberg; Grace Yi; Amanda Sim; Eve Puffer; Abdulkadir Ismael; Brian J Hall
Journal:  Eur Child Adolesc Psychiatry       Date:  2020-09-03       Impact factor: 5.349

2.  Qualitative analysis of participant experiences during an ecological momentary assessment study of nonsuicidal self-injury among veterans.

Authors:  Molly Gromatsky; Tapan A Patel; Sarah M Wilson; Adam J Mann; Natalie Aho; Vickie L Carpenter; Patrick S Calhoun; Jean C Beckham; Marianne Goodman; Nathan A Kimbrel
Journal:  Psychiatry Res       Date:  2022-02-12       Impact factor: 11.225

3.  Development of the RMT20, a composite screener to identify common mental disorders.

Authors:  Philip J Batterham; Matthew Sunderland; Natacha Carragher; Alison L Calear
Journal:  BJPsych Open       Date:  2020-05-18
  3 in total

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