Evidence map›Paper›PMID 38845762›Full record

ArticleFrontiers in psychology2024

Moderating effect of negative emotion differentiation in chronic stress and fatigue among Chinese employees.

Wenhao Lv, Huake Qiu, Hongliang Lu, Zhang Yajuan, Ma Yongjie, Chen Xing, Xia Zhu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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
–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

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.

  1. Article
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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

7 authors.

Wenhao Lv *Department of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Huake Qiu *Department of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Hongliang Lu *Department of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Zhang YajuanDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Ma YongjieDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Chen XingDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, China.
Xia ZhuDepartment of Military Medical Psychology, Air Force Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: According to the reactivity hypothesis and the diathesis-stress model, repeated activation of the stress system has a negative effect on health, and this effect may differ because of individual characteristics. Thus, the present study explores the effect of chronic stress on fatigue and investigates its mechanism. Methods: A questionnaire survey of 288 participants selected from the northwest part of China was conducted (13.89% females; ages ranged from 18 to 34 years, with Results: Chronic stress was found to be positively correlated with fatigue, depression, and anxiety; depression and anxiety played a chained multi-mediating role between chronic stress and fatigue, and negative emotion differentiation played a moderating role in the chained multi-mediation model. Discussion: Compared with depression, anxiety plays a more important role in the influence of chronic stress on fatigue. Therefore, it is necessary to pay more attention to anxiety symptoms and take appropriate intervention measures. Negative emotion differentiation plays a moderating role. Improving negative emotion differentiation through mindfulness and adaptive emotion regulation is an effective way to reduce the influence of chronic stress on fatigue.

Indexed as

anxietydepressionemotion differentiationfatiguestress

Identifiers

PMID38845762
PMCPMC11153821

What OpenQuestion holds

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Registered trials

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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.