Evidence map›Paper›PMID 35121741›Full record

ArticleScientific reports2022

Fluctuations in behavior and affect in college students measured using deep phenotyping.

Constanza M Vidal Bustamante, Garth Coombs, Habiballah Rahimi-Eichi, Patrick Mair, Jukka-Pekka Onnela, Justin T Baker, Randy L Buckner

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

17 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Constanza M Vidal Bustamante *Department of Psychology, Harvard University, Northwest Science Building 280.05, 52 Oxford Street, Cambridge, MA, 02138, USA. cvidal@g.harvard.edu.
Garth Coombs *Department of Psychology, Harvard University, Northwest Science Building 280.05, 52 Oxford Street, Cambridge, MA, 02138, USA.
Habiballah Rahimi-EichiDepartment of Psychology, Harvard University, Northwest Science Building 280.05, 52 Oxford Street, Cambridge, MA, 02138, USA.
Patrick MairDepartment of Psychology, Harvard University, Northwest Science Building 280.05, 52 Oxford Street, Cambridge, MA, 02138, USA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, 02115, USA.
Justin T BakerDepartment of Psychiatry, Harvard Medical School, Boston, MA, 02114, USA.
Randy L BucknerDepartment of Psychology, Harvard University, Northwest Science Building 280.05, 52 Oxford Street, Cambridge, MA, 02138, USA.
Harvard University · USMcLean Hospital · USMassachusetts General Hospital · US

Funding

Robust Predictors of Mania and PsychosisU01MH116925 · NIMH · MCLEAN HOSPITAL · PI BAKER, JUSTIN T, RAUCH, SCOTT L · 2018 to 2022
$3.2M
Using mobile phones for social and behavioral sensing of mood disorder patientsDP2MH103909 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI ONNELA, JUKKA-PEKKA · 2013 to 2013
$2.4M
Advanced Multimodal Neuroimaging Training GrantT90DA022759 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2006 to 2015
$1.4M
NIDA NIH HHS T90 DA022759NIH HHS T90DA022759NIMH NIH HHS DP2 MH103909NIMH NIH HHS U01 MH116925NIMH NIH HHS U01MH116925
6 · The paper itself

Abstract

College students commonly experience psychological distress when faced with intensified academic demands and changes in the social environment. Examining the nature and dynamics of students' affective and behavioral experiences can help us better characterize the correlates of psychological distress. Here, we leveraged wearables and smartphones to study 49 first-year college students continuously throughout the academic year. Affect and sleep, academic, and social behavior showed substantial changes from school semesters to school breaks and from weekdays to weekends. Three student clusters were identified with behavioral and affective dissociations and varying levels of distress throughout the year. While academics were a common stressor for all, the cluster with highest distress stood out by frequent report of social stress. Moreover, the frequency of reporting social, but not academic, stress predicted subsequent clinical symptoms. Two years later, during the COVID-19 pandemic, the first-year cluster with highest distress again stood out by frequent social stress and elevated clinical symptoms. Focus on sustained interpersonal stress, relative to academic stress, might be especially helpful to identify students at heightened risk for psychopathology.

Indexed as

SleepSocial BehaviorStress, PsychologicalAcademic PerformanceActigraphyAdolescentAffectCluster AnalysisCOVID-19FemaleHumansMaleStudentsYoung Adult

Identifiers

PMID35121741
PMCPMC8816914
OpenAlexW4210499547

What OpenQuestion holds

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LicenceCC BY
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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.