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Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

BACKGROUND: Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies. OBJECTIVES: This systematic review aimed to examine the results of studies on sui...

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Autores principales: Gee, Brendan Loo, Han, Jin, Benassi, Helen, Batterham, Philip J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649887/
https://www.ncbi.nlm.nih.gov/pubmed/33224516
http://dx.doi.org/10.1177/2055207620963958
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author Gee, Brendan Loo
Han, Jin
Benassi, Helen
Batterham, Philip J
author_facet Gee, Brendan Loo
Han, Jin
Benassi, Helen
Batterham, Philip J
author_sort Gee, Brendan Loo
collection PubMed
description BACKGROUND: Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies. OBJECTIVES: This systematic review aimed to examine the results of studies on suicidality risk factors and self-harm that used Ecological Momentary Assessments. METHODS: Pubmed and PsycINFO databases were searched up to April 2020. Bibliographies of eligible studies were hand-searched, and 744 abstracts were screened and double-coded for inclusion. RESULTS: The 49 studies using EMA included in the review found associations between daily affect, rumination and interpersonal interactions and daily non-suicidal self-injury (NSSI). Studies also found associations between daily negative affect and positive affect, social support, sleep, and emotions and a person’s history of suicide and self-harm. Associations between daily suicide thoughts and self-harm, and psychopathology factors measured at baseline were also observed. CONCLUSIONS: Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours.
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spelling pubmed-76498872020-11-19 Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies Gee, Brendan Loo Han, Jin Benassi, Helen Batterham, Philip J Digit Health Review Article BACKGROUND: Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies. OBJECTIVES: This systematic review aimed to examine the results of studies on suicidality risk factors and self-harm that used Ecological Momentary Assessments. METHODS: Pubmed and PsycINFO databases were searched up to April 2020. Bibliographies of eligible studies were hand-searched, and 744 abstracts were screened and double-coded for inclusion. RESULTS: The 49 studies using EMA included in the review found associations between daily affect, rumination and interpersonal interactions and daily non-suicidal self-injury (NSSI). Studies also found associations between daily negative affect and positive affect, social support, sleep, and emotions and a person’s history of suicide and self-harm. Associations between daily suicide thoughts and self-harm, and psychopathology factors measured at baseline were also observed. CONCLUSIONS: Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours. SAGE Publications 2020-11-03 /pmc/articles/PMC7649887/ /pubmed/33224516 http://dx.doi.org/10.1177/2055207620963958 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Non Commercial-NoDerivs CC BY-NC-ND: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review Article
Gee, Brendan Loo
Han, Jin
Benassi, Helen
Batterham, Philip J
Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title_full Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title_fullStr Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title_full_unstemmed Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title_short Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies
title_sort suicidal thoughts, suicidal behaviours and self-harm in daily life: a systematic review of ecological momentary assessment studies
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649887/
https://www.ncbi.nlm.nih.gov/pubmed/33224516
http://dx.doi.org/10.1177/2055207620963958
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