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Record W4413016491 · doi:10.2196/67960

Prevalence of Chronic Back Pain and Associated Factors in Children and Adolescents: Secondary Analysis of the 2001–2019 Health Behavior in School-Aged Children Study

2025· article· en· W4413016491 on OpenAlexvenueno aff
Camila Miño, Héctor Gutiérrez‐Espinoza, Jorge Olivares-Arancibía, Rodrigo Yáñez-Sepúlveda, Daniel Duclos‐Bastías, Felipe Araya‐Quintanilla, Lee Smith, José Francisco López‐Gil

Bibliographic record

VenueJMIR Public Health and Surveillance · 2025
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDemographySocioeconomic statusCross-sectional studyOdds ratioChronic painOddsPopulationPediatricsEnvironmental healthLogistic regressionPhysical therapyInternal medicine

Abstract

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Background: Backache, which is considered a leading cause of adult disability worldwide, is seldom studied in children and adolescents despite it being associated with multiple detrimental health outcomes in this age group. Objective: The aim of this study is to explore the prevalence, time trends, and correlates of chronic backache among children and adolescents. Methods: Data were extracted from the cross-sectional Health Behavior in School-Aged Children (HBSC) study, which collected data from 2001 to 2019. The final sample size for this study consisted of 1,011,368 children and adolescents (515,899/1,011,368 or 51.01% were girls). Prevalence estimates and time trends were calculated using weighted proportions. Generalized linear mixed models were conducted to determine whether certain correlates (ie, age group, sex, socioeconomic status, excess weight status, or year of data collection) were associated with higher odds of reporting chronic backache in the population of the HBSC. Additionally, we analyzed country-level changes in chronic backache trends over time. Results: The weighted global prevalence of chronic backache among children and adolescents was 6.6% (n=12,641; wave 2017-2019). The time trend indicated a general increase in the prevalence of chronic backache in children and adolescents over time (from 2001 to 2019). Indeed, Northern and Eastern Europe, as well as parts of North America, presented relatively higher weighted prevalence rates of chronic backache, ranging from 7% to 9%. This corresponded to approximately 70,796 to 91,023 cases of 1,011,368 participants. Regarding correlates, older age (aged 12.5-14.5 y: odds ratio [OR] 1.10, 95% confidence interval [CI] 1.05-1.15; P<.001; aged 14.5-17 y: OR 1.27, 95% CI 1.22-1.32; P<.001), female sex (OR 1.22, 95% CI 1.17-1.28; P<.001), excess weight (OR 1.14, 95% CI 1.11-1.17; P<.001), and later years of data collection (OR 1.04, 95% CI 1.04-1.05; P<.001) were associated with higher odds of reporting chronic backache. In contrast, medium (OR 0.83, 95% CI 0.81-0.85; P<.001) and high (OR 0.90, 95% CI 0.86-0.93; P<.001) socioeconomic status showed lower odds of experiencing chronic backache than low socioeconomic status. Conclusions: This study revealed a sustained upward trend in the prevalence of backache in children and adolescents over the years (2001-2019), especially in North America and Northern and Eastern Europe. In addition, older age, female sex, excess weight, and later years of data collection were identified as correlates of experiencing chronic backache. Moreover, middle and high socioeconomic status were associated with lower odds of reporting chronic backache, potentially indicating differences in lifestyle, access to health care, or other protective factors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.311
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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