SynthesisJournal of medical Internet research2017
Smartphone-Based Self-Assessment of Stress in Healthy Adult Individuals: A Systematic Review.
Synthesis in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations.JMIR mHealth and uHealth · 2019Pooled it
- Effectiveness of an Internet-Based Self-Help Acceptance and Commitment Therapy Program on Medical Students' Mental Well-Being: Follow-Up Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns.Diabetes technology & therapeutics · 2018Trial
- Unobtrusive measurement of cognitive load and physiological signals in uncontrolled environments.Scientific data · 2024Article
- Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review.PeerJ. Computer science · 2022Article
- Promoting Wellness Through Mobile Health Technology in a College Student Population: Protocol Development and Pilot Study.JMIR research protocols · 2020Article
- Assessment of Microstressors in Adults: Questionnaire Development and Ecological Validation of the Mainz Inventory of Microstressors.JMIR mental health · 2020Article
- Experience of Stress Assessed by Text Messages and Its Association with Objective Workload-A Longitudinal Study.International journal of environmental research and public health · 2020Article
- Exploring the Time Trend of Stress Levels While Using the Crowdsensing Mobile Health Platform, TrackYourStress, and the Influence of Perceived Stress Reactivity: Ecological Momentary Assessment Pilot Study.JMIR mHealth and uHealth · 2019Article
- The Validity of Daily Self-Assessed Perceived Stress Measured Using Smartphones in Healthy Individuals: Cohort Study.JMIR mHealth and uHealth · 2019Article
- To Each Stress Its Own Screen: A Cross-Sectional Survey of the Patterns of Stress and Various Screen Uses in Relation to Self-Admitted Screen Addiction.Journal of medical Internet research · 2019Article
- Managing Distress Using Mobile Prescriptions of Psychological Pills: A First 6-Month Effectiveness Study of the PsyPills App.Frontiers in psychiatry · 2019Article
- Managing and Controlling Stress Using mHealth: Systematic Search in App Stores.JMIR mHealth and uHealth · 2018Article
- Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation.Journal of medical Internet research · 2018Article
- Efficacy of Seren@ctif, a Computer-Based Stress Management Program for Patients With Adjustment Disorder With Anxiety: Protocol for a Controlled Trial.JMIR research protocols · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStress is a common experience in today's society. Smartphone ownership is widespread, and smartphones can be used to monitor health and well-being. Smartphone-based self-assessment of stress can be done in naturalistic settings and may potentially reflect real-time stress level.
objectiveThe objectives of this systematic review were to evaluate (1) the use of smartphones to measure self-assessed stress in healthy adult individuals, (2) the validity of smartphone-based self-assessed stress compared with validated stress scales, and (3) the association between smartphone-based self-assessed stress and smartphone generated objective data.
methodsA systematic review of the scientific literature was reported and conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The scientific databases PubMed, PsycINFO, Embase, IEEE, and ACM were searched and supplemented by a hand search of reference lists. The databases were searched for original studies involving healthy individuals older than 18 years, measuring self-assessed stress using smartphones.
resultsA total of 35 published articles comprising 1464 individuals were included for review. According to the objectives, (1) study designs were heterogeneous, and smartphone-based self-assessed stress was measured using various methods (e.g., dichotomized questions on stress, yes or no; Likert scales on stress; and questionnaires); (2) the validity of smartphone-based self-assessed stress compared with validated stress scales was investigated in 3 studies, and of these, only 1 study found a moderate statistically significant positive correlation (r=.4; P<.05); and (3) in exploratory analyses, smartphone-based self-assessed stress was found to correlate with some of the reported smartphone generated objective data, including voice features and data on activity and phone usage.
conclusionsSmartphones are being used to measure self-assessed stress in different contexts. The evidence of the validity of smartphone-based self-assessed stress is limited and should be investigated further. Smartphone generated objective data can potentially be used to monitor, predict, and reduce stress levels.
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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.