Evidence map›Paper›PMID 33513124›Full record

ArticleJMIR research protocols2021

Assessing the Mental Health of Emerging Adults Through a Mental Health App: Protocol for a Prospective Pilot Study.

Asal Yunusova, Jocelyn Lai, Alexander P Rivera, Sirui Hu, Sina Labbaf, Amir M Rahmani, Nikil Dutt, Ramesh C Jain, Jessica L Borelli

Abstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  5. Review
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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

9 authors.

Asal YunusovaDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-5029-6503
Jocelyn LaiDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-6457-3313
Alexander P RiveraDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-8921-435X
Sirui HuDepartment of Economics, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-2263-7160
Sina LabbafDepartment of Computer Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-9478-2546
Amir M RahmaniDepartment of Computer Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-0725-1155
Nikil DuttDepartment of Computer Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-3060-8119
Ramesh C JainDepartment of Computer Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-2373-4966
Jessica L BorelliDepartment of Psychological Science, University of California, Irvine, Irvine, CA, United States.ORCID https://orcid.org/0000-0001-8471-6732

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals can experience different manifestations of the same psychological disorder. This underscores the need for a personalized model approach in the study of psychopathology. Emerging adulthood is a developmental phase wherein individuals are especially vulnerable to psychopathology. Given their exposure to repeated stressors and disruptions in routine, the emerging adult population is worthy of investigation.

objectiveIn our prospective study, we aim to conduct multimodal assessments to determine the feasibility of an individualized approach for understanding the contextual factors of changes in daily affect, sleep, physiology, and activity. In other words, we aim to use event mining to predict changes in mental health.

methodsWe expect to have a final sample size of 20 participants. Recruited participants will be monitored for a period of time (ie, between 3 and 12 months). Participants will download the Personicle app on their smartphone to track their activities (eg, home events and cycling). They will also be given wearable sensor devices (ie, devices that monitor sleep, physiology, and physical activity), which are to be worn continuously. Participants will be asked to report on their daily moods and provide open-ended text responses on a weekly basis. Participants will be given a battery of questionnaires every 3 months.

resultsOur study has been approved by an institutional review board. The study is currently in the data collection phase. Due to the COVID-19 pandemic, the study was adjusted to allow for remote data collection and COVID-19-related stress assessments.

conclusionsOur study will help advance research on individualized approaches to understanding health and well-being through multimodal systems. Our study will also demonstrate the benefit of using individualized approaches to study interrelations among stress, social relationships, technology, and mental health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/25775.

Indexed as

activitycollege studentCOVID-19digital mental healthecological momentary assessmentfactorsfeasibilityindividualmental healthphysiologyprospectiveprotocolsleepystress

Identifiers

PMID33513124
PMCPMC7927950

What OpenQuestion holds

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Registered trials

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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.