Evidence map›Paper›PMID 42027939›Full record

ArticleFrontiers in public health2026

Identification of risk factors for heavy clinical burden in electrical workers of highlands: a cross-sectional study.

Qingqing Su, Qinghua He, Yonglin Fu, Qiang Lin, Haiying Xian, Tingting Liu, Miao Li, Hao Wang, Wenjin Sun, Xuan Zhang and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Qingqing Su *Department of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qinghua He *Center for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Yonglin Fu *Center for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Qiang Lin *Center for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Haiying Xian *Center for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Tingting LiuCenter for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Miao LiCenter for High Altitude Medicine, Sichuan Electric Power Hospital, Chengdu, Sichuan, China.
Hao WangDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenjin SunDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xuan ZhangDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ling ChenDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hui YanDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lei ChenDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fengming LuoDepartment of High Altitude Medicine, Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute and chronic mountain sickness, resulting from maladaptation to high-altitude hypoxia, poses a great health concern. This study aimed to identify risk factors for heavy symptom-based clinical burden among high-altitude electrical workers. Methods: In this cross-sectional study, 444 electrical workers stationed in the highlands of Sichuan, China, completed a symptom questionnaire and were classified as heavy (≥3 symptoms) or light (<3) clinical burden. Univariable and multivariable logistic regression identified factors associated with heavy clinical burden. Restricted cubic spline (RCS) was used to examine the nonlinear relationship between total duration of high-altitude exposure and clinical burden. Results: Of the 444 electrical workers, 218 (49.10%) had a heavy clinical burden. The most frequent symptoms were headache (50.90%), sleep disturbance (46.40%), and fatigue (45.95%). Compared to those with light clinical burden, significant differences were detected in age, ethnicity, alcohol consumption, hypertension, and altitude of residence in the heavy group ( Conclusion: Age, alcohol consumption, and hypertension are independent risk factors for heavy clinical burden in high-altitude electrical workers. Moreover, both short (<6 months) and prolonged (>39 months) duration of high-altitude exposure may confer risk for heavy clinical burden.

Indexed as

AltitudeAltitude SicknessOccupational DiseasesAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsSurveys and Questionnairesclinical burdencross-sectional studyhigh altitudeoccupational healthrisk factor

Identifiers

PMID42027939
PMCPMC13099912

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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.