Evidence map›Paper›PMID 39044235›Full record

ArticleBMC public health2024

The influence of night shift work and associated factors on serum uric acid in aircraft maintenance workers.

Huahuang Dong, Yanlin Cao, Xiaowen Ding, Tenglong Yan, Chu Zhou, Mingli Bi, Huining Wang, Xue Wang, Jue Li

Abstract read
In one paragraph

Article in BMC public health, 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

9 authors.

Huahuang DongBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Yanlin CaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaowen DingBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Tenglong YanBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Chu ZhouShanxi Medical University, Taiyuan, China.
Mingli BiBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Huining WangBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Xue WangBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China.
Jue LiBeijing Institute of Occupational Disease Prevention and Treatment, Beijing, China. lijue88@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe prevalence of 12-hour shift work is increasing in various occupations. Shift work has been linked to circadian rhythm disruption, which may lead to hormonal changes and metabolic disorders, including alterations in glucose, lipid, and purine metabolism. Despite this, there is limited research on the potential connection between work shifts and abnormal serum uric acid (SUA) levels. Furthermore, the factors that contribute to abnormal SUA levels in shift workers are not well-understood. Therefore, this study aimed to analyze the SUA levels of shift workers employed in an aircraft maintenance company, investigate the potential association between shift work and SUA levels, and explore the factors that may influence abnormal SUA levels in shift workers.

methodsA total of 2263 male workers from an aircraft maintenance company were included in this study using the cluster sampling method. The workers were divided into two groups based on their working shifts: night shift (N = 1047, 46.27%) and day working (N = 1216, 53.73%). A survey was conducted between April 1st and June 30th, 2022 to gather information on work, lifestyle, physical examination results, and other relevant factors. The survey included a self-designed demographic information questionnaire to collect data on workers' characteristics, medical history, years of employment, smoking and drinking habits, and main lifestyle behaviors. The workers' SUA levels were measured using uricase colorimetry. One-way ANOVA was used to compare the difference in the abnormal detection rate of SUA between the two groups, and multi-factor logistic regression analysis was used to identify the factors that influence abnormal SUA levels.

resultsThe study indicated that 48.9% of night shift workers and 43.8% in the regular day workers had abnormal SUA levels, with a significant difference between the two groups (χ

conclusionShift work has been linked to a higher risk of developing SUA abnormalities, and there are several factors that may contribute to this risk. To prevent diseases, it is recommended that enterprises implement better health monitoring and management practices for shift workers.

Indexed as

AircraftShift Work ScheduleUric AcidAdultChinaCircadian RhythmHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesWork Schedule ToleranceUric AcidInfluencing factorsSerum uric acidShift work

Identifiers

PMID39044235
PMCPMC11267947

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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.