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Prompt-level predictors of compliance in an ecological momentary assessment study of young adults' mental health


Murray, Aja Louise; Brown, Ruth; Zhu, Xinxin; Speyer, Lydia Gabriela; Yang, Yi; Xiao, Zhouni; Ribeaud, Denis; Eisner, Manuel (2023). Prompt-level predictors of compliance in an ecological momentary assessment study of young adults' mental health. Journal of Affective Disorders, 322:125-131.

Abstract

Background: Ecological momentary assessment (EMA) has become a popular method of gathering information about participants as they go about their daily lives. However, participant non-compliance, especially non-random compliance, in EMA is a concern. Better knowledge of the moment-to-moment factors that predict prompt non-response can inform the design of strategies to mitigate it.

Method: We used data from a general population young adult (n = 260) EMA study, 'decades-to-minutes' (D2M) and fitted dynamic structural equation models (DSEMs) to explore a range of candidate momentary predictors of missing the next prompt.

Results: We found that higher levels of stress, overall negative affect, and the specific negative affective state of 'upset' at a given prompt predicted a greater likelihood of missing the next prompt. However, no other specific affective states, alcohol use, experiencing social provocations nor aggressive behaviour predicted missing the next prompt.

Limitations: The primary limitation of the present study was a lack of information on predictors concurrent with missed prompts.

Conclusions: Findings point to the potential value of gathering information on momentary negative affect (especially feeling upset) and stress to help inform strategies that intervene to prevent application disengagement at optimal moments and to feed into strategies to mitigate bias due to non-random non-response in EMA studies.

Abstract

Background: Ecological momentary assessment (EMA) has become a popular method of gathering information about participants as they go about their daily lives. However, participant non-compliance, especially non-random compliance, in EMA is a concern. Better knowledge of the moment-to-moment factors that predict prompt non-response can inform the design of strategies to mitigate it.

Method: We used data from a general population young adult (n = 260) EMA study, 'decades-to-minutes' (D2M) and fitted dynamic structural equation models (DSEMs) to explore a range of candidate momentary predictors of missing the next prompt.

Results: We found that higher levels of stress, overall negative affect, and the specific negative affective state of 'upset' at a given prompt predicted a greater likelihood of missing the next prompt. However, no other specific affective states, alcohol use, experiencing social provocations nor aggressive behaviour predicted missing the next prompt.

Limitations: The primary limitation of the present study was a lack of information on predictors concurrent with missed prompts.

Conclusions: Findings point to the potential value of gathering information on momentary negative affect (especially feeling upset) and stress to help inform strategies that intervene to prevent application disengagement at optimal moments and to feed into strategies to mitigate bias due to non-random non-response in EMA studies.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Sociology
06 Faculty of Arts > Jacobs Center for Productive Youth Development
Dewey Decimal Classification:370 Education
Scopus Subject Areas:Social Sciences & Humanities > Clinical Psychology
Health Sciences > Psychiatry and Mental Health
Uncontrolled Keywords:Psychiatry and Mental health, Clinical Psychology
Language:English
Date:1 February 2023
Deposited On:08 Feb 2023 14:29
Last Modified:28 Feb 2024 02:50
Publisher:Elsevier
ISSN:0165-0327
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.jad.2022.11.014
Project Information:
  • : FunderSwiss National Science Foundation
  • : Grant ID
  • : Project Title
  • : FunderJacobs Foundation
  • : Grant ID
  • : Project Title
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)