» Articles » PMID: 37184112

Respondent Characteristics Associated with Adherence in a General Population Ecological Momentary Assessment Study

Overview
Specialty Psychiatry
Date 2023 May 15
PMID 37184112
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Ecological momentary assessment (EMA) has seen an explosion in popularity in recent years; however, an improved understanding of how to minimise (selective) non-adherence is needed.

Methods: We examined a range of respondent characteristics predictors of adherence (defined as the number of EMA surveys completed) in the D2M EMA study. Participants were a sample of n = 255 individuals drawn from the longitudinal z-proso cohort who completed up to 4 EMA surveys per day for a period of 2 weeks.

Results: In unadjusted analyses, lower moral shame, lower self-control, lower levels of self-injury, and higher levels of aggression, tobacco use, psychopathy, and delinquency were associated with lower adherence. In fully adjusted analyses with predictors selected using lasso, only alcohol use was related to adherence: beer and alcopops to higher adherence and spirits to lower adherence.

Conclusions: These findings provide potential insights into some of the psychological mechanisms that may underlie adherence in EMA. They also point to respondent characteristics for which additional or tailored efforts may be needed to promote adherence.

Citing Articles

Older adults' compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research.

Compernolle S, Vetrovsky T, Maes I, Delobelle J, Lebuf E, De Vylder F Int J Behav Nutr Phys Act. 2024; 21(1):92.

PMID: 39187862 PMC: 11346020. DOI: 10.1186/s12966-024-01629-z.


Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study: The MHIM engagement strategy.

Murray A, Xie T, Power L, Condon L Health Expect. 2024; 27(3):e14065.

PMID: 38711174 PMC: 11074385. DOI: 10.1111/hex.14065.


Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study.

Murray A, Ushakova A, Zhu X, Yang Y, Xiao Z, Brown R J Med Internet Res. 2023; 25:e41412.

PMID: 37531181 PMC: 10433031. DOI: 10.2196/41412.


Respondent characteristics associated with adherence in a general population ecological momentary assessment study.

Murray A, Yang Y, Zhu X, Speyer L, Brown R, Eisner M Int J Methods Psychiatr Res. 2023; 32(4):e1972.

PMID: 37184112 PMC: 10698810. DOI: 10.1002/mpr.1972.


Compliance Trends in a 14-Week Ecological Momentary Assessment Study of Undergraduate Alcohol Drinkers.

Howard A, Lamb M Assessment. 2023; 31(2):277-290.

PMID: 36914966 PMC: 10822069. DOI: 10.1177/10731911231159937.

References
1.
Ribeaud D, Murray A, Shanahan L, Shanahan M, Eisner M . Cohort Profile: The Zurich Project on the Social Development from Childhood to Adulthood (z-proso). J Dev Life Course Criminol. 2022; 8(1):151-171. PMC: 8860297. DOI: 10.1007/s40865-022-00195-x. View

2.
Murray A, Brown R, Zhu X, Speyer L, Yang Y, Xiao Z . Prompt-level predictors of compliance in an ecological momentary assessment study of young adults' mental health. J Affect Disord. 2022; 322:125-131. DOI: 10.1016/j.jad.2022.11.014. View

3.
Jacobucci R, Grimm K, McArdle J . Regularized Structural Equation Modeling. Struct Equ Modeling. 2016; 23(4):555-566. PMC: 4937830. DOI: 10.1080/10705511.2016.1154793. View

4.
Murray A, Ushakova A, Zhu X, Yang Y, Xiao Z, Brown R . Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study. J Med Internet Res. 2023; 25:e41412. PMC: 10433031. DOI: 10.2196/41412. View

5.
Ivy J, Meindl J, Overley E, Robson K . Token Economy: A Systematic Review of Procedural Descriptions. Behav Modif. 2017; 41(5):708-737. DOI: 10.1177/0145445517699559. View