Evidence map›Paper›PMID 39386960›Full record

ArticleFrontiers in public health2024

The impact of psychological stress on physiological indicators in healthcare workers: a cross-sectional study.

Na Li, Yan Wang, Yijiao Dong, Xiaoxue Chen, Bin Zhang, Xianghua Chen, Kejian Wang, Ying Sun

Abstract 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Na Li *The Affiliated Hospital of Qingdao University, Qingdao, China.
Yan Wang *The Affiliated Hospital of Qingdao University, Qingdao, China.
Yijiao DongThe Affiliated Hospital of Qingdao University, Qingdao, China.
Xiaoxue ChenThe Affiliated Hospital of Qingdao University, Qingdao, China.
Bin ZhangThe Affiliated Hospital of Qingdao University, Qingdao, China.
Xianghua ChenThe Affiliated Hospital of Qingdao University, Qingdao, China.
Kejian WangInnovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ying SunThe Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical health workers play an essential role in the healthcare system and face unique workplace stressors. However, the impact of psychological stress on their physical health has received less attention compared to the general population. Methods: We retrospectively analyzed the Self-rating Depression Scale (SDS) questionnaires and blood testing results from 1963 medical health workers. Multivariate linear regression analysis using a backward stepwise selection strategy to identify physical examination indicators that were significantly affected by depression. Results: Depression severity, as measured by SDS index score, was positively correlated with the levels of hemoglobin (coefficient 0.0027, Conclusion: Our study found a significant association between higher levels of depression and specific physiological indicators in healthcare professionals, including elevated hemoglobin, platelet counts, and uric acid levels, as well as decreased red blood cell counts. These changes in blood parameters may reflect underlying physiological stress and inflammation, potentially increasing overall health risks for healthcare workers. Addressing these physiological changes may be crucial for mitigating the health risks associated with depression. To validate our findings and develop targeted interventions, larger multi-center studies are needed to further explore the relationship between depression severity and blood parameters in healthcare professionals.

Indexed as

DepressionHealth PersonnelStress, PsychologicalAdultCross-Sectional StudiesFemaleHemoglobinsHumansMaleMiddle AgedPlatelet CountRetrospective StudiesSurveys and QuestionnairesUric AcidHemoglobinsUric Acidcross-sectional studymedical health workersphysiological indicatorspsychological stressself-rating depression scale (SDS)

Identifiers

PMID39386960
PMCPMC11461262

What OpenQuestion holds

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LicenceCC BY
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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.