Evidence map›Paper›PMID 39669644›Full record

ArticleData in brief2024

Physiological and emotional assessment of college students using wearable and mobile devices during the 2020 COVID-19 lockdown: An intensive, longitudinal dataset.

Sina Labbaf, Mahyar Abbasian, Brenda Nguyen, Matthew Lucero, Maryam Sabah Ahmed, Asal Yunusova, Alexander Rivera, Ramesh Jain, Jessica L Borelli, Nikil Dutt and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Sina LabbafDepartment of Computer Science, University of California, Irvine, CA 92697, USA.
Mahyar AbbasianDepartment of Computer Science, University of California, Irvine, CA 92697, USA.
Brenda NguyenDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Matthew LuceroDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Maryam Sabah AhmedDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Asal YunusovaDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Alexander RiveraDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Ramesh JainDepartment of Computer Science, University of California, Irvine, CA 92697, USA.
Jessica L BorelliDepartment of Social Ecology, University of California, Irvine, CA 92697, USA.
Nikil DuttDepartment of Computer Science, University of California, Irvine, CA 92697, USA.
Amir M RahmaniDepartment of Computer Science, University of California, Irvine, CA 92697, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset was collected from university students before, during, and after the COVID-19 lockdown in Southern California. Data collection happened continuously for the average of 7.8 months (

Indexed as

Ecological momentary assessments (EMAs)Heart rate and heart rate variabilityInertial measurement unit waveformLongitudinal sleep and physical activityPersonal responses to 2020 eventsPhotoplethysmography (PPG) waveformsRaw wearable physiological signalsSelf-reported real-life mental health data

Identifiers

PMID39669644
PMCPMC11637128

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.