ArticleFrontiers in public health2026
Prevalence, functional impact, and associated factors of knee osteoarthritis and knee pain among adults in Urumqi, Northwest China: a community-based cross-sectional study.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Knee osteoarthritis and knee pain are major causes of chronic pain, functional limitation, and health-care use, but community-level evidence on their symptomatic burden and associated factors remains limited in northwest China. We aimed to estimate the burden of knee osteoarthritis and knee pain, describe pain-related functional impact, and examine demographic, clinical, lifestyle, and occupational factors associated with these outcomes among adults in Urumqi. Methods: We conducted a community-based cross-sectional survey in Urumqi, Xinjiang, China, from June to August 2023. The primary analysis included adults aged 40 years or older with valid anthropometric and core knee outcome data. Outcomes were self-reported physician-diagnosed knee osteoarthritis, past-year knee pain, symptomatic knee osteoarthritis, and pain-related functional impact. Modified Poisson regression with robust variance was used to estimate adjusted prevalence ratios (aPRs) and 95% CIs. Results: Among 1925 participants, the median age was 55.0 years (IQR 48.0-63.0), and 1,118 (58.1%) were men. Physician-diagnosed knee osteoarthritis was reported by 236 participants (12.3, 95% CI 10.9-13.8), past-year knee pain by 562 (29.2%, 27.2-31.3), and symptomatic knee osteoarthritis by 212 (11.0%, 9.7-12.5). Among participants with past-year knee pain, 214 of 525 reported sleep disturbance (40.8%, 36.6-45.0), 286 of 525 reported work or activity limitation (54.5%, 50.2-58.7), and 320 of 525 had sought medical care (61.0%, 56.7-65.0). Previous knee injury was strongly associated with physician-diagnosed knee osteoarthritis (aPR 3.08, 95% CI 2.37-4.00), past-year knee pain (2.01, 1.72-2.34), and symptomatic knee osteoarthritis (2.97, 2.25-3.91). Sleep disorder, overweight, obesity, high occupational mechanical load, and first-degree family history of arthritis were also associated with knee outcomes. Conclusion: Knee osteoarthritis and knee pain were common among middle-aged and older adults in Urumqi and were frequently accompanied by sleep disturbance, activity limitation, and health-care seeking. The observed associations with previous knee injury, excess body weight, occupational mechanical load, and sleep disorder identify groups that may warrant closer community assessment; their temporal and causal roles require confirmation in longitudinal studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.