Evidence map›Paper›PMID 35569955›Full record

ArticleIndustrial health2022

Gender difference in working from home and psychological distress - A national survey of U.S. employees during the COVID-19 pandemic.

Timothy A Matthews, Liwei Chen, Negar Omidakhsh, Donglan Zhang, Xuesong Han, Zhuo Chen, Lu Shi, Yan Li, Ming Wen, Hongmei Li and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Industrial health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors at 9 institutions in 2 countries.

Timothy A MatthewsDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, United States.
Liwei ChenDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, United States.
Negar OmidakhshDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, United States.
Donglan ZhangDivision of Health Services Research, Department of Foundations of Medicine, New York University Long Island School of Medicine, United States.
Xuesong HanSurveillance and Health Equity Science, American Cancer Society, United States.
Zhuo ChenDepartment of Health Policy and Management, College of Public Health, University of Georgia, United States.
Lu ShiDepartment of Public Health Sciences, Clemson University, United States.
Yan LiDepartment of Population Health Science and Policy, Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, United States.
Ming WenDepartment of Sociology, University of Utah, United States.
Hongmei LiDepartment of Media, Journalism and Film, Miami University, United States.
Dejun SuDepartment of Health Promotion, College of Public Health, University of Nebraska Medical Center, United States.
Jian LiDepartment of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, United States.
University of California, Los Angeles · USAmerican Cancer Society · USClemson University · USIcahn School of Medicine at Mount Sinai · USMiami University · USNew York University · USUniversity of Nebraska Medical Center · USUniversity of Nottingham Ningbo China · CNUniversity of Utah · US

Funding

Southern California Education and Research Center T42OH008412 · OH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JONES, RACHAEL MARY · 2005 to 2025
$28.1M
NIOSH CDC HHS T42 OH008412
6 · The paper itself

Abstract

The COVID-19 pandemic has precipitated broad and extensive changes in the way people live and work. While the general subject of working from home has recently drawn increased attention, few studies have assessed gender differences in vulnerability to the potential mental health effects of working from home. Using data from 1,585 workers who participated in the Health, Ethnicity, and Pandemic (HEAP) study, a national survey conducted in the U.S. during the COVID-19 pandemic in October 2020, associations of working from home with psychological distress were examined with weighted logistic regression among 1,585 workers and stratified by gender. It was found that workers who worked from home had higher odds of psychological distress (aOR and 95% CI = 2.62 [1.46, 4.70]) compared to workers who did not work from home, adjusting for demographic factors, socioeconomic status, and health behaviors. In gender-stratified analyses, this positive association between working from home and psychological distress was significant in women (aOR and 95% CI = 3.68 [1.68, 8.09]) but not in men. These results have implications for female workers' mental health in the transition towards working from home in the COVID-19 pandemic era.

Indexed as

COVID-19Psychological DistressFemaleHumansMalePandemicsSARS-CoV-2Sex FactorsCOVID-19GenderMental healthWorkersWorking from home

Identifiers

PMID35569955
PMCPMC9453567
OpenAlexW4280510333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.