Evidence map›Paper›PMID 36649543›Full record

ArticleJournal of American college health : J of ACH2024

Correlates of psychological distress among undergraduate women engaged in remote learning through a New York City college during the COVID-19 pandemic.

Craig J Heck, Deborah A Theodore, Brit Sovic, Eloise Austin, Cynthia Yang, Joshua Rotbert, Samantha Greissman, Jason Zucker, April Autry, Marina Catallozzi and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of American college health : J of ACH, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

12 authors at 5 institutions in 3 countries.

Craig J HeckDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Deborah A TheodoreDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Brit SovicDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Eloise AustinDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Cynthia YangBarnard College, New York, New York, USA.
Joshua RotbertBarnard College, New York, New York, USA.
Samantha GreissmanDepartment of Medicine, NewYork-Presbyterian/Columbia University Medical Center, New York, New York, USA.
Jason ZuckerDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
April AutryBarnard College, New York, New York, USA.
Marina CatallozziBarnard College, New York, New York, USA.
Magdalena E SobieszczykDivision of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Delivette CastorDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Columbia University Irving Medical Center · USBarnard College · USColumbia University · USPopulation Council · INTexas Health Dallas · US

Funding

Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Columbia Collaborative HIV/AIDS Clinical Trials UnitU01AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAMMER, SCOTT M · 2007 to 2011
$15.4M
Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
NIAID NIH HHS K23 AI150378NIAID NIH HHS L30 AI133789NIAID NIH HHS T32 AI114398NIAID NIH HHS U01 AI069470NIAID NIH HHS UM1 AI069470
6 · The paper itself

Abstract

objectiveThe study's objective is to explore psychological distress (PD) among remote learners during COVID-19.

participantsFemale undergraduates matriculated at an NYC college in Winter 2020.

methodsUsing the Kessler-6 scale, we defined PD as no/low (LPD), mild/moderate (MPD), and severe (SPD) and assessed if residing in/near NYC modified associations.

resultsPD was common (MPD: 34.1%, SPD: 38.9%). Students identifying as Other/Multiracial had lower MPD odds (aOR = 0.39 [0.17-0.88]). SPD was associated with identifying as White (aOR = 2.02 [1.02-3.99]), unbalanced meals (aOR = 2.59 [1.06-6.30]), violence experience (aOR = 1.77 [1.06-2.94]), no social support (aOR = 3.24 [1.37-7.64]), and loneliness (aOR = 2.52 [1.29-4.95]). Among students in/near NYC, moderate/high drug use (aOR = 2.76 [1.15-6.61]), no social support (aOR = 3.62 [1.10-1.19]), and loneliness (aOR = 2.92 [1.11-7.63]) were SPD correlates.

conclusionsPD was high and associated with food insecurity, violence experience, no social support, and loneliness. Living in/near NYC modified drug use, loneliness, and social support associations. Mental health initiatives should address modifiable risk factors to ameliorate pandemic-associated PD.

Indexed as

COVID-19Education, DistancePsychological DistressStudentsAdolescentAdultFemaleHumansNew York CityPandemicsSARS-CoV-2Social SupportStress, PsychologicalUniversitiesYoung AdultAdolescent girls and young womenCOVID-19mental healthpsychological distresspsychosocial well-beingremote learning

Identifiers

PMID36649543
PMCPMC10350472
OpenAlexW4317360508

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.