Observational studyJournal of global health2026
Posture management for neck pain: identification and quantification of associated factors based on a multicentre cross-sectional study in China.
Observational study in Journal of global 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
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neck pain (NP) is a leading musculoskeletal disorder globally. Posture management is crucial for its prevention; however, population-level evidence quantifying the associated factors in real-world settings remains limited. We aimed to identify and quantify threshold effects of key factors related to posture management associated with NP among Chinese adults. Methods: We conducted a multicentre, cross-sectional study across six Chinese cities. We collected data via face-to-face interviews using a questionnaire covering demographics, occupational factors, electronic device use, sleep, transportation, and exercise. Multivariable logistic regression identified factors associated with NP. We used restricted cubic splines to model nonlinear relationships, and applied the Akaike information criterion to determine dichotomisation cutoffs for continuous variables. Propensity score matching assessed the robustness of these associations, and subgroup analyses by sex and age assessed heterogeneity. Results: We included a total of 6,969 adults (≥18 years), comprising 2,662 (38.2%) with NP and 4,307 (61.8%) without. Identified associated factors included: computer use time for work ≥2 hours/day (odds ratio (OR) = 1.39; 95% confidence interval (CI) = 1.16-1.67, P < 0.001), smartphone use time for work ≥3 hours/day (OR = 1.21; 95% CI = 1.03-1.42, P = 0.022), smartphone screen height below horizontal eye level (OR = 1.16; 95% CI = 1.00-1.34, P = 0.043), and firm mattress (OR = 1.19; 95% CI = 1.04-1.37, P = 0.012) were associated with increased odds of NP. Sleeping time ≥7 hours/day (OR = 0.79; 95% CI = 0.69-0.89, P < 0.001), supine sleeping (OR = 0.87; 95% CI = 0.76-0.99, P = 0.039) and walking as the primary mode of transportation (OR = 0.80, 95% CI = 0.70-0.91, P < 0.001) were associated with decreased odds of NP. Conclusions: This study identified and quantified threshold effects of key factors associated with NP among Chinese adults, including electronic device use, sleep habits, and commuting patterns. These quantified thresholds offer actionable benchmarks for posture management of NP in clinical practice and public health interventions. Registration: Chinese Clinical Trial Registry: ChiCTR2400093567.
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.