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

The findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity.

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Publication Details

Journal
International Journal of Behavioral Nutrition and Physical Activity
Published
2024-08-26
DOI
https://doi.org/10.1186/s12966-024-01629-z
Citations
7
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
5.95

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article

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

Leen Poppe, Flore De Vylder, Delfien Van Dyck, Iris Maes et al.
7 citations
International Journal of Behavioral Nutrition and Physical Activity
Mobile Health and mHealth Applications
5.95
article

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

Leen Poppe, Flore De Vylder, Delfien Van Dyck, Iris Maes, Jelle Van Cauwenberg, Elien Lebuf, Tomáš Větrovský, Julie Delobelle, Sofie Compernolle, Kim Cnudde
article en
7 citations

Abstract

The findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity.

International Journal of Behavioral Nutrition and Physical ActivityVol. 21(1)
Charles University (CZ), Research Foundation - Flanders (BE), Ghent University (BE)
Fonds Wetenschappelijk Onderzoek
Zero hunger
Openalex Percentile: Top 4%
Mobile Health and mHealth Applications
5.95
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