Evidence map›Paper›PMID 34637531›Full record

ArticleJournal of community psychology2022

Social capital as mediating factor on COVID-19 induced psychological distress: The case of college students living through an outbreak.

Gregory M Fulkerson, Alexander R Thomas, Michael McCarthy, Elizabeth Seale, Sallie Han, Kirsten Kemmerer, James Zians

Abstract read
In one paragraph

Article in Journal of community psychology, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Gregory M FulkersonDepartment of Sociology, SUNY Oneonta, Oneonta, New York, USA.
Alexander R ThomasDepartment of Sociology, SUNY Oneonta, Oneonta, New York, USA.ORCID http://orcid.org/0000-0001-8185-6828
Michael McCarthyDepartment of Anthropology and Sociology, Utica College, Utica, New York, USA.
Elizabeth SealeDepartment of Sociology, SUNY Oneonta, Oneonta, New York, USA.
Sallie HanDepartment of Anthropology, SUNY Oneonta, Oneonta, New York, USA.
Kirsten KemmererDepartment of Sociology, SUNY Oneonta, Oneonta, New York, USA.
James ZiansDepartment of Psychology, SUNY Oneonta, Oneonta, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This investigation examines the interplay between individual-level social capital, psychological distress, and the effects of a coronavirus disease 2019 (COVID-19) outbreak on a college campus. Data were collected from students at two colleges in early 2021. Hypotheses were formed based on prior research on social capital and the COVID pandemic. A structural equation model was constructed to allow the modeling of both latent and observed variables. The Kessler-6 measures were used to create a latent psychological distress variable, which was the dependent variable. Predictor variables include whether the student experienced the outbreak, the student's race and gender, and the level of reported individual social capital (having supportive and rewarding relationships). Our findings suggest that the most robust predictor of reduced psychological distress was individual social capital, which also served as an intermediary between the outbreak and distress. Social capital mediates psychological distress in an outbreak.

Indexed as

COVID-19Psychological DistressSocial CapitalDisease OutbreaksHumansMediation AnalysisSARS-CoV-2StudentsCOVID-19genderpandemicpsychological distresssocial capitalstudentsuniversities

Identifiers

PMID34637531
PMCPMC8661523

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.