Healthcare (Basel, Switzerland) · 2026
Sedentary Behavior and Low Back Pain in Children and Adolescents: A Systematic Review and Meta-Analysis.
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Calvo-Muñoz Inmaculada, García-Moreno José Manuel, Gómez-Conesa Antonia, López-López José Antonio
Аннотация
Background/Objectives: Low back pain (LBP) is increasingly prevalent among children and adolescents and represents a growing public health concern due to its potential persistence into adulthood. Screen-based sedentary behavior has substantially increased in pediatric populations. However, evidence regarding its association with LBP remains inconsistent, and the existence of a dose-response relationship is not well established. Methods: A systematic review and meta-analysis of observational studies was conducted in accordance with PRISMA guidelines. Studies examining the association between screen-based sedentary behavior and LBP in children and adolescents aged 6-18 years were included. Random-effects meta-analyses were used to pool continuous exposure estimates, and a multivariate random-effects dose-response meta-analysis was performed to assess changes in LBP risk across increasing levels of daily screen time. Results: A total of 30 studies were included. The pairwise meta-analysis of continuous exposure showed no statistically significant association between screen time and LBP, with OR = 1.02 (95% CI 0.65 to 1.59). In contrast, the dose-response meta-analysis demonstrated a significant positive association, with a 26% (95% CI 8% to 48%) increase in the odds of LBP for each additional hour of daily screen time. High between-study heterogeneity was observed, and most studies relied on self-reported measures of screen exposure and LBP, which may have introduced recall and misclassification bias and warrants cautious interpretation of the findings. Conclusions: Higher levels of screen-based sedentary behavior were associated with an increased risk of LBP in children and adolescents when examined using a dose-response approach, whereas pairwise meta-analyses did not identify a significant association. Nevertheless, substantial between-study heterogeneity and high risk of bias limit causal inference and require cautious interpretation.