Evidence map›Paper›PMID 37637801›Full record

ArticleFrontiers in public health2023

Cytokine associated with severity of depressive symptoms in female nurses in Korea.

Yoonjoo Kim, Yanghee Pang, Hyunki Park, Oksoo Kim, Hyangkyu Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
0.4field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Yoonjoo KimDepartment of Nursing, Yonsei University Graduate School, Seoul, Republic of Korea.
Yanghee PangDepartment of Nursing, Baekseok Culture University, Cheonan, Republic of Korea.
Hyunki ParkMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.
Oksoo KimCollege of Nursing, Ewha Womans University, Seoul, Republic of Korea.
Hyangkyu LeeDepartment of Nursing, Yonsei University Graduate School, Seoul, Republic of Korea.
Yonsei University · KRBaekseok Culture University · KRDongwha Pharm (South Korea) · KRFar East University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression has been associated with the risk of developing physical illnesses and diseases. Inflammatory hypotheses of immunoactive and dysregulated cytokine production have been proposed to describe this association; however, data pertaining to the high prevalence of depression among nurses are limited. Objective: This study aimed to use a comprehensive immune-profiling approach to determine whether an abnormal profile of circulating cytokines could be identified in nurses with self-reported depression and whether this profile is associated with the severity of depression. Methods: We investigated a cohort of 157 female nurses in Korea. The self-report Patient Health Questionnaire was used to measure the depression levels of nurses. In addition, peripheral blood samples were collected and used to measure the cytokine profile using the Luminex multiplexing system. Generalized gamma regression analyses were conducted to evaluate the association between cytokine and depressive symptoms. Results: Regarding severity of depressive symptoms, 28.0% of nurses had moderately severe depression while 9.6% had severe depression. Moderately-severe depressive symptoms in nurses were associated with elevated levels of interleukin-6 ( Conclusion: This study demonstrated that proinflammatory cytokines were associated with depression among nurses. This calls for early detection and intervention, considering the mechanisms linking depression to physical illness and disease.

Indexed as

CytokinesNursesDepressionFemaleHumansInterferon-gammaRepublic of KoreaCytokinesInterferon-gammacytokinedepressiongeneralized gamma regressionKoreanurse

Identifiers

PMID37637801
PMCPMC10457120
OpenAlexW4385728920

What OpenQuestion holds

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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.