Evidence map›Paper›PMID 33900935›Full record

ArticleJournal of medical Internet research2021

Mental Health and Behavior of College Students During the COVID-19 Pandemic: Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study, Part II.

Dante L Mack, Alex W DaSilva, Courtney Rogers, Elin Hedlund, Eilis I Murphy, Vlado Vojdanovski, Jane Plomp, Weichen Wang, Subigya K Nepal, Paul E Holtzheimer and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  18. Pharmacy Students' Mental Health and Resilience in COVID-19: An Assessment after One Year of Online Education.European journal of investigation in health, psychology and education · 2022
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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

15 authors at 3 institutions in 1 country.

Dante L MackDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-8833-7462
Alex W DaSilvaDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0001-5532-0325
Courtney RogersDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-8589-6744
Elin HedlundDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-6794-6568
Eilis I MurphyDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-7351-9431
Vlado VojdanovskiDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-7132-8244
Jane PlompDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-4297-2460
Weichen WangDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0000-0001-6738-9944
Subigya K NepalDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-4314-9505
Paul E HoltzheimerNational Center for PTSD, White River Junction, VT, United States.ORCID 0000-0002-3552-3296
Dylan D WagnerDepartment of Psychology, Ohio State University, Columbus, OH, United States.ORCID 0000-0002-1062-8163
Nicholas C JacobsonDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-8832-4741
Meghan L MeyerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0002-9834-5925
Andrew T CampbellDepartment of Computer Science, Dartmouth College, Hanover, NH, United States.ORCID 0000-0001-7394-7682
Jeremy F HuckinsDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.ORCID 0000-0003-0106-7808
Dartmouth College · USDartmouth–Hitchcock Medical Center · USThe Ohio State University · US

Funding

SOCIAL EFFECTS OF THREATS TO SELFR01MH059282 · NIMH · DARTMOUTH COLLEGE · PI HAXBY, JAMES V · 2001 to 2020
$6.2M
NIMH NIH HHS R01 MH059282
6 · The paper itself

Abstract

backgroundSince late 2019, the lives of people across the globe have been disrupted by COVID-19. Millions of people have become infected with the disease, while billions of people have been continually asked or required by local and national governments to change their behavioral patterns. Previous research on the COVID-19 pandemic suggests that it is associated with large-scale behavioral and mental health changes; however, few studies have been able to track these changes with frequent, near real-time sampling or compare these changes to previous years of data for the same individuals.

objectiveBy combining mobile phone sensing and self-reported mental health data in a cohort of college-aged students enrolled in a longitudinal study, we seek to understand the behavioral and mental health impacts associated with the COVID-19 pandemic, measured by interest across the United States in the search terms coronavirus and COVID fatigue.

methodsBehaviors such as the number of locations visited, distance traveled, duration of phone use, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife mobile smartphone sensing app. Depression and anxiety were assessed using weekly self-reported ecological momentary assessments, including the Patient Health Questionnaire-4. The participants were 217 undergraduate students. Differences in behaviors and self-reported mental health collected during the Spring 2020 term, as compared to previous terms in the same cohort, were modeled using mixed linear models.

resultsLinear mixed models demonstrated differences in phone use, sleep, sedentary time and number of locations visited associated with the COVID-19 pandemic. In further models, these behaviors were strongly associated with increased interest in COVID fatigue. When mental health metrics (eg, depression and anxiety) were added to the previous measures (week of term, number of locations visited, phone use, sedentary time), both anxiety and depression (P<.001) were significantly associated with interest in COVID fatigue. Notably, these behavioral and mental health changes are consistent with those observed around the initial implementation of COVID-19 lockdowns in the spring of 2020.

conclusionsIn the initial lockdown phase of the COVID-19 pandemic, people spent more time on their phones, were more sedentary, visited fewer locations, and exhibited increased symptoms of anxiety and depression. As the pandemic persisted through the spring, people continued to exhibit very similar changes in both mental health and behaviors. Although these large-scale shifts in mental health and behaviors are unsurprising, understanding them is critical in disrupting the negative consequences to mental health during the ongoing pandemic.

Indexed as

BehaviorEcological Momentary AssessmentPandemicsSmartphoneAdolescentAnxietyCell Phone UseCOVID-19DepressionFemaleHumansLocomotionLongitudinal StudiesMaleMental HealthMobile ApplicationsanxietycollegeCOVID-19COVID fatiguedepressiondigital phenotypingGeorge Floydmobile sensingphone usagesleep

Identifiers

PMID33900935
PMCPMC8183598
OpenAlexW3159247474

What OpenQuestion holds

Textmetadata
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.