Evidence map›Paper›PMID 35749457›Full record

ArticlePloS one2022

The good, the bad, and the mixed: Experiences during COVID-19 among an online sample of adults.

Devin J Mills, Julia Petrovic, Jessica Mettler, Chloe A Hamza, Nancy L Heath

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Devin J MillsDepartment of Community, Family, and Addiction Sciences, Texas Tech University, Lubbock, Texas, United States of America.ORCID 0000-0003-3421-1650
Julia PetrovicDepartment of Educational and Counselling Psychology, McGill University, Montreal, Canada.
Jessica MettlerDepartment of Educational and Counselling Psychology, McGill University, Montreal, Canada.
Chloe A HamzaDepartment of Applied Psychology and Human Development, University of Toronto, Toronto, Canada.
Nancy L HeathDepartment of Educational and Counselling Psychology, McGill University, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies have outlined the negative consequences of the COVID-19 pandemic to psychological health. However, the potential within-individual diversity of experiences during COVID-19, and how such experiences relate to indices of psychological distress and COVID-19-specific stressors, remains to be explored. A large online sample of American MTurk Workers (N = 3,731; Mage = 39.54 years, SD = 13.12; 51.70% female) completed short assessments of psychological distress, COVID-19-specific stressors (e.g., wage loss, death), and seven items assessing negative and positive COVID-19 experiences. Latent profile analyses were used to identify underlying profiles of COVID-19 experiences. A four-profile solution was retained representing profiles that were: (1) predominantly positive (n = 839; 22.49%), (2) predominantly negative (n = 849; 22.76%), (3) moderately mixed (n = 1,748; 46.85%), and (4) high mixed (n = 295; 7.91%). The predominantly positive profile was associated with lower psychological distress, whereas both the predominantly negative and high mixed profiles were associated with higher psychological distress. Interestingly, specific COVID-19 stressful events were associated with the high mixed profile. The present study challenges the narrative that the impacts of COVID-19 have been unilaterally negative. Future directions for research are proposed.

Indexed as

COVID-19Psychological DistressAdultFemaleHumansMaleMental HealthPandemicsStress, PsychologicalUnited States

Identifiers

PMID35749457
PMCPMC9231712

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.