ArticleFrontiers in psychology2019
Cognitive and Physiological Measures in Well-Being Science: Limitations and Lessons.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- Taking a Stand for Office-Based Workers' Mental Health: The Return of the Microbreak.Frontiers in public health · 2020Trial
- A Music Interaction System Based on the Emotional Recognition of Older Adults in Smart Homes: Cross-Sectional Experimental Study.JMIR aging · 2026Article
- Examining the Association Between Internet Use and Perceived Stress in Adults: Longitudinal Observational Study Combining Web Tracking Data With Questionnaires.Journal of medical Internet research · 2026Observational
- Measuring Experienced Utility in the Context of Health Economic Evaluation: A Narrative Overview.Health science reports · 2025Article
- Article
- Rethinking flourishing: Critical insights and qualitative perspectives from the U.S. Midwest.SSM. Mental health · 2022Article
- Adopting Evaluative Conditioning to Improve Coach-Athlete Relationships.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social and personality psychology have been criticized for overreliance on potentially biased self-report variables. In well-being science, researchers have called for more "objective" physiological and cognitive measures to evaluate the efficacy of well-being-increasing interventions. This may now be possible with the recent rise of cost-effective, commercially available wireless physiological recording devices and smartphone-based cognitive testing. We sought to determine whether cognitive and physiological measures, coupled with machine learning methods, could quantify the effects of positive interventions. The current 2-part study used a college sample (
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Registered trials
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.