Evidence map›Paper›PMID 39610230›Full record

ArticlePsychiatry investigation2024

Mental Health Status Profiles of Dentists in South Korea: A Latent Profile Analysis Approach.

Chisung Yuh, Sojin Yoon, Kyungwon Song, Heon-Jeong Lee, Young-Mee Lee, Chul-Hyun Cho

Abstract read
In one paragraph

Article in Psychiatry investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

6 authors.

Chisung YuhDepartment of Medical Education, Korea University College of Medicine, Seoul, Republic of Korea.
Sojin YoonDepartment of Education, Korea University, Seoul, Republic of Korea.
Kyungwon SongPodonamu Dental Clinic, Wirye, Republic of Korea.
Heon-Jeong LeeDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Young-Mee LeeDepartment of Medical Education, Korea University College of Medicine, Seoul, Republic of Korea.
Chul-Hyun ChoDepartment of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.

Funding

Institute of Information and Communications Technology Planning and EvaluationKorea UniversityMinistry of Science and Information and Communications Technology RS-202300224823National Research Foundation of Korea 2021R1A5A8032895National Research Foundation of Korea 2022M3C1B6080866
6 · The paper itself

Abstract

objectiveDentists encounter unique occupational challenges, including stress, depression, and anxiety, that can impact their mental well-being. Therefore, it is essential to identify dentists' mental health statuses and the factors influencing them. Understanding the heterogeneity in dentists' mental health is crucial for tailored interventions. To investigate different mental health profiles within the dentist population and understand the characteristics of each type.

methodsIn this cross-sectional study, we surveyed 261 Korean dentists from a sample of 1,520. Using latent profile analysis, participants were classified into distinct mental health profiles based on self-reported stress, depressive symptoms, anxiety, and sleep quality. Demographic and occupational variables were analyzed to explore their association with mental health profiles.

resultsThree distinct mental health profiles were identified: high, moderate, and low. Factors such as drinking frequency, socioeconomic status, income, and work hours significantly influenced profile classification. Significant differences in job satisfaction were observed among the profiles.

conclusionThis study underscores the importance of personalized interventions to address the specific needs of each mental health profile, aiming to improve job satisfaction and overall mental health in the dental profession.

Indexed as

DentistsJob satisfactionJob stressMental health

Identifiers

PMID39610230
PMCPMC11611469

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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.