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Chronic pain in adolescence and internalizing mental health disorders

2016· article· en· W2280438946 on OpenAlexaff
Mélanie Noël, Cornelius B. Groenewald, Sarah E. Beals‐Erickson, J. Thomas Gebert, Tonya M. Palermo

Bibliographic record

VenuePain · 2016
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of General Medical Sciences
KeywordsAnxietyChronic painOdds ratioMental healthPsychiatryDepression (economics)Young adultMedicineLogistic regressionClinical psychologyLongitudinal studyPsychologyInternal medicine

Abstract

fetched live from OpenAlex

Chronic pain in childhood and adolescence has been shown to heighten the risk for depressive and anxiety disorders in specific samples in adulthood; however, little is known about the association between a wider variety of chronic pains and internalizing mental health disorders. Using nationally representative data, the objectives of this study were to establish prevalence rates of internalizing mental health disorders (anxiety and depressive disorders) among cohorts with or without adolescent chronic pain, and to examine whether chronic pain in adolescence is associated with lifetime history of internalizing mental health disorders reported in adulthood. Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) was used (N = 14,790). Individuals who had chronic pain in adolescence subsequently reported higher rates of lifetime anxiety disorders (21.1% vs 12.4%) and depressive disorders (24.5% vs 14.1%) in adulthood as compared with individuals without a history of adolescent chronic pain. Multivariate logistic regression confirmed that chronic pain in adolescence was associated with an increased likelihood of lifetime history of anxiety disorders (odds ratio: 1.33; 95% confidence interval: 1.09-1.63, P = 0.005) and depressive disorders (odds ratio: 1.38; confidence interval: 1.16-1.64, P < 0.001) reported in adulthood. Future research is needed to examine neurobiological and psychological mechanisms underlying these comorbidities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.277
Teacher spread0.268 · 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 teacher head, 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

Citations214
Published2016
Admission routes1
Has abstractyes

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