Evidence map›Paper›PMID 35786098›Full record

ArticleOTJR : occupation, participation and health2023

COVID-19: Factors Predicting Depressive Symptoms in People Aging With Long-Term Physical Disabilities.

Szu-Wei Chen, Susan Rice, Katelyn Storey, Marian Keglovits, Megen Devine, Yan Yan, Susan Stark

Abstract read
In one paragraph

Article in OTJR : occupation, participation and health, 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
–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

1 citing paper in PubMed.

  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.

Szu-Wei ChenWashington University in St. Louis, MO, USA.
Susan RiceWashington University in St. Louis, MO, USA.
Katelyn StoreyWashington University in St. Louis, MO, USA.
Marian KeglovitsWashington University in St. Louis, MO, USA.
Megen DevineWashington University in St. Louis, MO, USA.
Yan YanWashington University in St. Louis, MO, USA.
Susan StarkWashington University in St. Louis, MO, USA.ORCID 0000-0002-2816-7158

Funding

ACL HHS 90DPCP0001
6 · The paper itself

Abstract

The mental health impact of the COVID-19 pandemic may be greater than that of the viral infection. This impact is likely greater for disadvantaged groups such as people with long-term physical disabilities (PwLTPD). This cross-sectional study used a multiple linear regression model to examine factors associated with depressive symptoms and to understand their relative importance during the onset of the COVID-19 pandemic. The model explained 58% of the variance in depressive symptoms. Anxiety was the most important predictor, accounting for 8% of variance. Higher levels of anxiety, loneliness, and financial stress; prior diagnosis of depression; and non-Black race predicted a higher level of depressive symptoms in PwLTPD during the onset of the COVID-19 pandemic. Occupational therapy practitioners should strategically acknowledge predictors of depression that cannot be modified and actively address those that can be modified through evidence-based interventions to improve depressive symptoms in PwLTPD.

Indexed as

COVID-19AgingAnxietyCross-Sectional StudiesDepressionHumansPandemicsdepressionmental healthoccupational therapypandemicpeople with disabilities

Identifiers

PMID35786098
PMCPMC10076235

What OpenQuestion holds

Textmetadata
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.