Evidence map›Paper›PMID 40650850›Full record

ArticleClinical rheumatology2025

From plateau to plains: unraveling the diet-exercise paradox in uric acid homeostasis through a comprehensive comparative study.

Qing Wang, Yan Zheng, Jin Pei, Haiyue Zhang, Haiming Xiao, Hongjie Zheng, Yan Zhang, Guangzhi Xiao, Kui Zhang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Qing Wang *Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, No. 15 Changle West Road, Xi'an, Shaanxi Province, 710032, PR China.
Yan Zheng *Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, No. 15 Changle West Road, Xi'an, Shaanxi Province, 710032, PR China.
Jin PeiDepartment of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, No. 15 Changle West Road, Xi'an, Shaanxi Province, 710032, PR China.
Haiyue ZhangDepartment of Health Statistics, School of Public Health, Fourth Military Medical University, Xi'an, 710032, China.
Haiming XiaoSchool of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Hongjie ZhengSchool of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Yan ZhangSchool of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Guangzhi XiaoDepartment of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, No. 15 Changle West Road, Xi'an, Shaanxi Province, 710032, PR China. 1020626441@qq.com.
Kui ZhangDepartment of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, No. 15 Changle West Road, Xi'an, Shaanxi Province, 710032, PR China. zhk100@fmmu.edu.cn.ORCID http://orcid.org/0000-0002-5578-0142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine differences in serum uric acid (SUA) concentrations and hyperuricemia prevalence between residents of high- versus low-altitude regions, and determine the major contributing factors to such variations, we conducted a comparative study to investigate the prevalence and influencing factors of individuals living in the Qinghai-Tibet Plateau and low-altitude areas from two time periods.

methodsIn this comparative cross-sectional study, individuals living in the Qinghai-Tibet Plateau (101 individuals) and low-altitude areas (502 individuals) from two periods (March to August 2021 and March to August 2022) were recruited to participate and complete questionnaires assessing anthropometric measurements (BMI), physical activity levels, smoking and alcohol consumption habits, and dietary preferences.

resultsIndividuals living in high-altitude areas had significantly higher rate of high uric acid levels, accounting for 56.43%, comparing to those living in low-altitude areas alone (5.38%). Our results demonstrated that excessive intake of urate-producing foods, which may lead to overweight and obesity, and inability to eliminate the uric acid produced through exercise may be one of the important reasons for the higher proportion of mechanically ventilated patients in plateau areas. Factors of body mass index, night snacks, beans, and smoking have significant effects on uric acid levels when comparing individuals living in high- and low-altitude areas.

conclusionsThis study identifies significant altitude-dependent variations in SUA regulation, primarily mediated through dietary patterns and energy metabolism. The protective factors observed at high altitudes, such as restricted purine intake and increased physical activity, offer valuable epidemiological evidence for developing targeted prevention strategies against hyperuricemia in low-altitude populations. Key Points • High-altitude residents exhibited 10.5-fold higher hyperuricemia prevalence than low-altitude counterparts (56.43% vs. 5.38%, p < 0.001), revealing profound environmental modulation of uric acid metabolism. Excessive intake of high-purine foods coupled with insufficient energy metabolism due to physical inactivity may contribute significantly to the high prevalence of hyperuricemia in low-altitude regions. • The findings offer robust epidemiological evidence to support the development of targeted prevention strategies for hyperuricemia in low-altitude region.

Indexed as

AltitudeDietExerciseHyperuricemiaUric AcidAdultAgedBody Mass IndexChinaCross-Sectional StudiesFemaleHomeostasisHumansMaleMiddle AgedPrevalenceUric AcidHigh-altitudeHyperuricemiaInfluencing factorsLow-altitude populationsPrevalence

Identifiers

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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 Socratic graph.