ArticleScientific reports2026
Spinal pain and associated factors among young motorcyclists a cross-sectional study with mediating analysis.
Article in Scientific reports, 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
13 authors.
Funding
Abstract
Spinal pain is a common musculoskeletal complaint among young adults and is sometimes influenced by lifestyle and behavioral factors. Motorcycles are the most common and convenient means of transportation in India, especially among the younger population. This study aimed to estimate the prevalence of spinal pain among young motorcycle riders and examine the predictors associated with spinal pain, while exploring the statistical mediating role of body mass index (BMI). The study was conducted at a large multidisciplinary higher education institution in India with approximately 60,000 students across 300 programs. As motorcycles are one of the common modes of transport, 422 eligible motorcycle riders were recruited for this study. Data were collected using systematic random sampling, a structured expert-validated questionnaire, and physical measurements. Bivariate and multivariate binary logistic regression model analysis was used to identify factors associated with spinal pain. A bootstrapped mediation analysis was performed to determine the extent to which the mediator variable (i.e., BMI) explained the association between the riding frequency and spinal pain. The overall cumulative prevalence of self-reported spinal pain experienced in the past year was 37.7% (95% CI: 32.7, 42.5). Factors like obesity (AOR 6.24, 95% CI: 1.9, 20.49), being overweight (AOR 2.78, 95% CI: 1.21, 6.37), not engaging in regular physical activity (AOR 2.24, 95% CI: 1.44, 3.48), experiencing fatigue while driving (AOR 2.66, 95% CI: 1.62, 4.42), and being female (AOR 1.87, 95% CI: 1.47, 2.97) were significantly associated with the likelihood of self-reported spinal pain among young motorcyclists in a multivariate logistic model with the level of significance set at 0.05. Furthermore, BMI appeared to partially explain the relationship between bike riding and spinal pain. Spinal pain was common among young motorcycle riders, and it is associated with higher BMI, riding fatigue, and physical inactivity. BMI partially explained the association between riding frequency and spinal pain. The findings highlight the potential importance of healthy body weight, regular physical activity, and addressing riding-related fatigue as part of spinal health strategies among young motorcycle riders.
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.