Evidence map›Paper›PMID 39502814›Full record

ArticleFrontiers in public health2024

Validation of a brief image elicitation task as an indicator of subjective wellbeing in the general population.

J David Pincus

Abstract readValidation Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

1 author.

J David PincusResearch and Development Department, Leading Indicator Systems, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A novel image-based method (AgileBrain) demonstrates construct validity as a measure of wellbeing in the general working adult population. Method: Analysis of data from four large nationally representative samples of American full-time workers employed by mid-to-large size companies conducted in November 2021 ( Results: Across all four studies, AgileBrain demonstrates convergent validity across multiple established indicators of subjective wellbeing including the Patient Health Questionnaire (PHQ-9), Center for Epidemiological Studies Depression Scale (CESD-10), Generalized Anxiety Disorder Scale (GAD-7), Neuroticism (BFI-S), UCLA Loneliness Scale, Perceived Stress Scale (PSS-10), Coping Styles (Brief COPE-28), self-reported diagnosed neurodiversity conditions and symptoms, and trauma history. Conclusion: Results across these studies suggest that AgileBrain is useful as a screening tool for detecting compromised wellbeing in terms of construct validity. Given strong preferences for brief, gamified assessments, the validity advantages stemming from less consciously controllable responses, and the statistical advantages of measures associated with high response rates and normal distributions, AgileBrain emerges as strong tool for assessing subjective wellbeing at the population level and offers a promising approach to monitoring treatment effectiveness.

Indexed as

PsychometricsAdaptation, PsychologicalAdultFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and Questionnairesemotional needsemotional wellbeinghappinessimage-elicitationshort formthrivingwellbeingwellness

Identifiers

PMID39502814
PMCPMC11534616

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.