Evidence map›Paper›PMID 35968481›Full record

ArticleFrontiers in public health2022

Prevalence of hyperuricemia and the population attributable fraction of modifiable risk factors: Evidence from a general population cohort in China.

Huijing He, Pei Guo, Jiangshan He, Jingbo Zhang, Yujie Niu, Shuo Chen, Fenghua Guo, Feng Liu, Rong Zhang, Qiang Li and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

23 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in nutrition · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors at 4 institutions in 1 country.

Huijing HeDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Pei GuoSchool of Medicine, Nankai University, Tianjin, China.
Jiangshan HeSchool of Medicine, Nankai University, Tianjin, China.
Jingbo ZhangBeijing Physical Examination Center, Beijing, China.
Yujie NiuHebei Key Laboratory of Environment and Human Health, Shijiazhuang, China.
Shuo ChenBeijing Physical Examination Center, Beijing, China.
Fenghua GuoSchool of Medicine, Nankai University, Tianjin, China.
Feng LiuBeijing Physical Examination Center, Beijing, China.
Rong ZhangHebei Key Laboratory of Environment and Human Health, Shijiazhuang, China.
Qiang LiBeijing Physical Examination Center, Beijing, China.
Shitao MaHebei Key Laboratory of Environment and Human Health, Shijiazhuang, China.
Binbin ZhangSchool of Medicine, Nankai University, Tianjin, China.
Li PanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
Minying ZhangSchool of Medicine, Nankai University, Tianjin, China.
Nankai University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHebei Medical University · CNHebei Science and Technology Department · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data on updated hyperuricemia prevalence in Beijing-Tianjin-Hebei (BTH) region in China, which is one of the world-class urban agglomerations, is sparse. Overweight/obesity, alcohol consumption, smoking and sedentary behavior are modifiable risk factors (MRFs) for elevated serum uric acid (SUA), but their population attributable fractions (PAFs) for hyperuricemia is still unclear. Using baseline data from the BTH Physical Examination General Population Cohort, we calculated the crude- and adjusted-prevalence of hyperuricemia based on the 30,158 participants aged 18-80 years. Hyperuricemia was defined as SUA >420 μmol/L in men and >360 μmol/L in women, or currently use of uric acid lowering drugs. Overweight/obesity, alcohol consumption, smoking and sedentary behavior were considered as MRFs and their adjusted PAFs were estimated. The prevalence of hyperuricemia was 19.37%, 27.72% in men and 10.69% in women. The PAFs and 95% confidence intervals for overweight, obesity were 16.25% (14.26-18.25%) and 12.08% (11.40-12.77%) in men, 13.95% (12.31-15.59%) and 6.35% (5.97-6.74%) in women, respectively. Alcohol consumption can explain 4.64% (2.72-6.56%) hyperuricemia cases in men, but with no statistical significance in women. Cigarette smoking contributed to 3.15% (1.09-5.21%) cases in men, but a much lower fraction in women (0.85%, 0.49-1.22%). Compared with sedentary time <2 h per day, the PAFs of 2-4 h, 4-6 h, and more than 6 h per day were 3.14% (1.34-4.93%), 6.72% (4.44-8.99%) and 8.04% (4.95-11.13%) in men, respectively. Sedentary time was not found to be associated with hyperuricemia in women. These findings concluded that hyperuricemia is prevalent in this representative Chinese adult general population with substantial sex difference. Four MRFs (overweight/obesity, alcohol consumption, cigarette smoking and sedentary behavior) accounted for a notable proportion of hyperuricemia cases. The PAF estimations enable the exploration of the expected proportion of hyperuricemia cases that could be prevented if the MRFs were removed, which warrants the public health significance of life-style intervention.

Indexed as

HyperuricemiaAdultChinaFemaleHumansMaleObesityOverweightPrevalenceUric AcidUric Acidalcohol consumptionattributable fractionbody mass indexcigarette smokingsedentary behaviorserum uric acid

Identifiers

PMID35968481
PMCPMC9366258
OpenAlexW4288077111

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.