Evidence map›Paper›PMID 39439727›Full record

ArticleDigital health

Motivated information avoidance in an mHealth weight loss intervention: Associations between unmet behavioral goals and likelihood of viewing program messages.

Lex Hurley, Brooke T Nezami, Carmina G Valle, Deborah F Tate

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lex HurleyDepartment of Health Behavior, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-2217-0492
Brooke T NezamiDepartment of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Carmina G ValleDepartment of Nutrition, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0003-1985-2409
Deborah F TateDepartment of Health Behavior, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Cancer Health Disparities Training ProgramT32CA128582 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ENG, EUGENIA, TATE, DEBORAH F. · 2009 to 2023
$3.4M
NCI NIH HHS T32 CA128582NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

Background: Program engagement is positively associated with improved outcomes in mobile health (mHealth) interventions, but little is known about which factors may increase or decrease the likelihood of participants viewing program messages. This study examined the association between daily behavioral goal achievement and likelihood of reading daily messages, and if this relationship is moderated by baseline depressive symptoms in an mHealth weight loss intervention. Methods: Data come from a 12-week microrandomized pilot mHealth weight management trial that tested the effects of daily messages on behavioral goals among 52 young adults (78.8% female, 61.5% white, ages 21-35). Conditional growth curve modeling was used to regress message viewing indicators onto the number of daily behavioral goals that participants had not met at the time of message receipt, with testing for moderation by depressive symptoms and controlling for covariates clustered within participants over time. Results: For each additional goal not met at the time of message receipt, participants were 34.8% less likely to read any message sent ( Conclusions: Participants may tend to avoid reading program messages when they know they are not meeting goals in a program, possibly due to motivated information avoidance to prevent negative emotional reactions from anticipated negative feedback messages. Future interventions may want to consider ways to contact participants who may be struggling in programs and also avoiding viewing standard message pushes in order to reduce the risk of disengagement.

Indexed as

depressionDigital healthengagementgoalshealth behaviormessaging

Identifiers

PMID39439727
PMCPMC11494625

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.