Evidence map›Paper›PMID 34777852›Full record

ArticleDigital health

Using mobile sensing data to assess stress: Associations with perceived and lifetime stress, mental health, sleep, and inflammation.

Michelle L Byrne, Monika N Lind, Sarah R Horn, Kathryn L Mills, Benjamin W Nelson, Melissa L Barnes, George M Slavich, Nicholas B Allen

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Stress, positive affect, and sleep in older African American adults: a test of the stress buffering hypothesis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  6. Article
  7. Article
  8. Intensive Longitudinal Assessment of Adolescents to Predict Suicidal Thoughts and Behaviors.Journal of the American Academy of Child and Adolescent Psychiatry · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. 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

8 authors.

Michelle L ByrneDepartment of Psychology, University of Oregon, USA.ORCID https://orcid.org/0000-0002-4180-8095
Monika N LindDepartment of Psychology, University of Oregon, USA.
Sarah R HornDepartment of Psychology, University of Oregon, USA.
Kathryn L MillsDepartment of Psychology, University of Oregon, USA.
Benjamin W NelsonDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, USA.
Melissa L BarnesDepartment of Psychology, University of Oregon, USA.ORCID https://orcid.org/0000-0002-8745-0287
George M SlavichCousins Center for Psychoneuroimmunology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, USA.ORCID https://orcid.org/0000-0001-5710-3818
Nicholas B AllenDepartment of Psychology, University of Oregon, USA.

Funding

Stress, diet quality, and biological aging across the lifespanR24AG048024 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EPEL, ELISSA S., MENDES, WENDY BERRY · 2014 to 2025
$6.2M
Neural, Inflammatory, and Genomic Mechanisms Underlying Risk for Depression in AdolescenceK08MH103443 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SLAVICH, GEORGE MICHAEL · 2015 to 2018
$772k
The role of brain activity and connectivity in the association between immune function and depressive symptoms, and the effect of pubertal timing: A longitudinal study of adolescent girls.K01MH111951 · NIMH · UNIVERSITY OF OREGON · PI BYRNE, MICHELLE LYNN · 2017 to 2019
$373k
NIA NIH HHS R24 AG048024NIMH NIH HHS K01 MH111951NIMH NIH HHS K08 MH103443
6 · The paper itself

Abstract

backgroundAlthough stress is a risk factor for mental and physical health problems, it can be difficult to assess, especially on a continual, non-invasive basis. Mobile sensing data, which are continuously collected from naturalistic smartphone use, may estimate exposure to acute and chronic stressors that have health-damaging effects. This initial validation study validated a mobile-sensing collection tool against assessments of perceived and lifetime stress, mental health, sleep duration, and inflammation.

methodsParticipants were 25 well-characterized healthy young adults (

resultsThree measures of affective language (i.e. total positive words, total negative words, and total affective words) were strongly associated with lifetime stress exposure, and total negative words typed was related to fewer hours slept (all large effect sizes:

conclusionsData from this initial longitudinal validation study suggest that total and affective text use may be useful mobile sensing measures insofar as they are associated with several other stress, mental health, behavioral, and biological outcomes. This tool may thus help identify individuals at increased risk for stress-related health problems.

Indexed as

affective languageinflammationmental healthMobile sensingstresstext

Identifiers

PMID34777852
PMCPMC8580497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.