Evidence map›Paper›PMID 36294113›Full record

ArticleInternational journal of environmental research and public health2022

Exploring Depression among the Elderly during the COVID-19 Pandemic: The Effects of the Big Five, Media Use, and Perceived Social Support.

Yang Li, Zhi Lin, Yibo Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. The Impact of the COVID-19 Pandemic on the Mental Health of Urban Residents-Evidence from China.International journal of environmental research and public health · 2022
    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

3 authors at 2 institutions in 1 country.

Yang LiCollege of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China.
Zhi LinCollege of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai 200093, China.
Yibo WuSchool of Public Health, Peking University, Beijing 100191, China.ORCID 0000-0001-9607-313X
University of Shanghai for Science and Technology · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mental health of the elderly is vulnerable during public health emergencies, such as the COVID-19 pandemic, and the risks of depression is increased. The study aimed to explore the effects of physical health, the Big Five personality traits, media use, and different kinds of perceived social support as predictors of levels of depression among the elderly during the COVID-19 pandemic. A cross-sectional survey was conducted in more than 120 cities in China with a sample of 1147 older adults, and hierarchical regression was established to examine the predictors of the level of depression. The results showed that almost half of the elderly (48%) had a status of mild or much more severe depression during the COVID-19 pandemic. The level of depression was negatively associated with physical health, extraversion, conscientiousness, agreeableness, and family support, while it was positively associated with neuroticism and media use. The study emphasized the effects of physical health, the Big Five personality traits, media use, and perceived social support from family as the predictors of levels of depression, providing further measures to help the elderly better react to a public health emergency.

Indexed as

COVID-19AgedCross-Sectional StudiesDepressionHumansPandemicsPersonalitySocial SupportBig Fivedepressionmedia useperceived social supportphysical healththe elderly

Identifiers

PMID36294113
PMCPMC9602753
OpenAlexW4306835999

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.