Evidence map›Paper›PMID 37065893›Full record

ArticleFrontiers in psychiatry2023

Association between mental health symptoms and behavioral performance in younger vs. older online workers.

Colleen Mills-Finnerty, Halee Staggs, Nichole Hogoboom, Sharon Naparstek, Tiffany Harvey, Sherry A Beaudreau, Ruth O'Hara

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 5 institutions in 3 countries.

Colleen Mills-FinnertySierra Pacific Mental Illness, Research, Education, and Clinical Center, Veterans Administration Palo Alto Health Care System, Palo Alto, CA, United States.
Halee StaggsSierra Pacific Mental Illness, Research, Education, and Clinical Center, Veterans Administration Palo Alto Health Care System, Palo Alto, CA, United States.
Nichole HogoboomDepartment of Psychology, San Jose State University, San Jose, CA, United States.
Sharon NaparstekDepartment of Psychology, Bar-Ilan University, Ramat Gan, Israel.
Tiffany HarveyDepartment of Biochemistry, University of Tennessee at Chattanooga, Chattanooga, TN, United States.
Sherry A BeaudreauSierra Pacific Mental Illness, Research, Education, and Clinical Center, Veterans Administration Palo Alto Health Care System, Palo Alto, CA, United States.
Ruth O'HaraSierra Pacific Mental Illness, Research, Education, and Clinical Center, Veterans Administration Palo Alto Health Care System, Palo Alto, CA, United States.
Stanford University · USVA Palo Alto Health Care System · USBar-Ilan University · ILSan Jose State University · USUniversity of Tennessee at Chattanooga · US

Funding

Causal brain mechanisms of value-based attentional capture in depressionIK2CX001916 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI MILLS-FINNERTY, COLLEEN · 2019 to 2024
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CSRD VA IK2 CX001916
6 · The paper itself

Abstract

Background: The COVID-19 pandemic has been associated with increased rates of mental health problems, particularly in younger people. Objective: We quantified mental health of online workers before and during the COVID-19 pandemic, and cognition during the early stages of the pandemic in 2020. A pre-registered data analysis plan was completed, testing the following three hypotheses: reward-related behaviors will remain intact as age increases; cognitive performance will decline with age; mood symptoms will worsen during the pandemic compared to before. We also conducted exploratory analyses including Bayesian computational modeling of latent cognitive parameters. Methods: Self-report depression (Patient Health Questionnaire 8) and anxiety (General Anxiety Disorder 7) prevalence were compared from two samples of Amazon Mechanical Turk (MTurk) workers ages 18-76: pre-COVID 2018 ( Results: We found support for two out of three pre-registered hypotheses. Notably our hypothesis that mental health symptoms would increase in the peri-COVID sample compared to pre-COVID sample was not supported: both groups reported high mental health burden, especially younger online workers. Higher mental health symptoms were associated with negative impacts on cognitive performance (speed/accuracy tradeoffs) in the peri-COVID sample. We found support for two hypotheses: reaction time slows down with age in two of three attention tasks tested, whereas reward function and accuracy appear to be preserved with age. Conclusion: This study identified high mental health burden, particularly in younger online workers, and associated negative impacts on cognitive function.

Indexed as

anxietyBayesian analysisbehavior and cognitioncomputational modelingCOVID-19depression

Identifiers

PMID37065893
PMCPMC10090330
OpenAlexW4361303285

What OpenQuestion 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 OpenQuestion graph.