Evidence map›Paper›PMID 38362208›Full record

ArticleFrontiers in public health2024

Factors influencing coping skills of middle-aged adults in COVID-19, South Korea.

Minkyung Gu, Heeyoung Woo, Sohyune Sok

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Minkyung GuDepartment of Nursing, College of Health Science, Daejin University, Pocheon-si, Gyeonggi-do, Republic of Korea.
Heeyoung WooDepartment of Nursing, Sahmyook Health University, Seoul, Republic of Korea.
Sohyune SokCollege of Nursing Science, Kyung Hee University, Seoul, Republic of Korea.
Daejin University · KRKyung Hee University · KRSahmyook University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In light of the persistent COVID-19 pandemic, there is a compelling imperative to enhance the COVID-19 coping capacity among middle-aged adults within the South Korean population. Consequently, there is a need for further research endeavors in this area. Objective: This study aims to explore and identify the factors influencing the coping skills of middle-aged adults in COVID-19, South Korea. Methods: This study used a cross-sectional descriptive design. Participants were 147 middle-aged adults living in Seoul, Geounggi-do, and Chungchung-do in South Korea. Data included demographics, coping skills, the impact of the event, perceived health status, psychological wellbeing, and family support. The data were analyzed using the SPSS Statistics 25.0 program. Data were collected from March to July 2020. Results: The regression model was significant ( Conclusion: This study suggests that to improve the coping skills of middle-aged adults with COVID-19, their perceived health status and family support should be strengthened, and the impact of the event should be decreased. Also, it needs that underlying diseases are managed and economic status is improved. Nurses need to pay more attention to the influencing factors to improve the coping skills of middle-aged adults in COVID-19, South Korea.

Indexed as

Coping SkillsCOVID-19Adaptation, PsychologicalAdultCross-Sectional StudiesHumansMiddle AgedPandemicsRepublic of KoreacopingCOVID-19family supporthealthimpact of event

Identifiers

PMID38362208
PMCPMC10867311
OpenAlexW4391444317

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.