Evidence map›Paper›PMID 42463799›Full record

ArticleScientific reports2026

Validation of within-person associations with coverage and momentary EMA self-reports using an objective standard (physical activity).

Arthur A Stone, Meynard Toledo, Stefan Schneider, Joshua M Smyth, Doerte U Junghaenel, Sarah Goldstein, Olivia Pomeroy

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Arthur A StoneDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA. arthur.stone@usc.edu.
Meynard ToledoDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA.
Stefan SchneiderDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA.
Joshua M SmythOhio State University, Columbus, OH, USA.
Doerte U JunghaenelDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA.
Sarah GoldsteinDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA.
Olivia PomeroyDornsife Center for Self-Report Science, University of Southern California, Los Angeles, CA, USA.

Funding

Advancing the Science and Practice of Ecological Momentary AssessmentR37AG057685 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arthur A Stone · 2018 to 2026
$9.4M
NIA NIH HHS R37 AG057685NIA NIH HHS R37AG057685
6 · The paper itself

Abstract

Ecological momentary assessment (EMA) is a useful tool for assessing peoples' experiences, behaviors, and environments in everyday life. EMA is considered a standard for self-reporting, because its short reporting periods and multiple assessments in everyday life offers reduced recall bias and increased ecological validity. In this study we tested how well within-person EMA measurements of levels of physical activity (prompt-level data) match objective reports of activity from accelerometry. We looked at two kinds of validity: duration of EMA recall (5 m; 120 m) and type of physical activity response scale (verbal response scales [VRS]; numerical duration scales). Concurrent criterion validity was tested by examining level differences and with correlations of EMA with accelerometry. Construct validity was assessed by examining whether the correlations between EMA and non-physical activity variables aligned with correlations between accelerometry and those same variables. Participants (N = 315) wore a thigh accelerometer and completed EMA five times per day for 7-days. We observed that EMA estimates of activity levels were very different compared with accelerometry levels, especially for active behavior, where EMA yielded much higher levels of active behavior than accelerometry (the first type of concurrent criterion validity). We found moderate within-person correlations between EMA and accelerometry (second type of concurrent criterion validity). However, some study factors moderated the concordance: coverage EMA had slightly stronger associations than near-momentary EMA and sedentary behavior was more accurately reported than high physical activity levels. Construct validity analyses showed that EMA self-reports could be used in place of accelerometry data. With the caveat that physical activity was greatly overestimated by EMA, findings largely support the utility of EMA for analyzing within-person associations with other coverage and near-momentary variables, although they suggest some forms of EMA may be somewhat less optimal.

Indexed as

AccelerometryConstruct validityCriterion validityEMAPhysical activitySelf-report

Identifiers

PMID42463799
PMCPMC13677431

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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.