Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Prompt-level predictors of compliance in an ecological momentary assessment study of young adults' mental health
AU - Murray, Aja Louise
AU - Brown, Ruth
AU - Zhu, Xinxin
AU - Speyer, Lydia Gabriela
AU - Yang, Yi
AU - Xiao, Zhouni
AU - Ribeaud, Denis
AU - Eisner, Manuel
PY - 2023/2/1
Y1 - 2023/2/1
N2 - 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.
AB - 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.
KW - Humans
KW - Young Adult
KW - Ecological Momentary Assessment
KW - Mental Health
KW - Alcohol Drinking
KW - Research Design
U2 - 10.1016/j.jad.2022.11.014
DO - 10.1016/j.jad.2022.11.014
M3 - Journal article
C2 - 36372127
VL - 322
SP - 125
EP - 131
JO - Journal of affective disorders
JF - Journal of affective disorders
SN - 0165-0327
ER -