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Record W2074785068 · doi:10.1097/brs.0b013e31824dcb74

Prevalence and Factors Associated With Low Back Pain and Pelvic Girdle Pain During Pregnancy

2012· article· en· W2074785068 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpine · 2012
Typearticle
Languageen
FieldMedicine
TopicPregnancy-related medical research
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineInterquartile rangePregnancyLow back painBody mass indexPhysical therapyDepression (economics)AnxietyAnthropometryLogistic regressionLumbarRisk factorInternal medicineObstetricsSurgeryPsychiatry

Abstract

fetched live from OpenAlex

STUDY DESIGN: A cross-sectional, multicenter study. OBJECTIVE: To determine the prevalence of low back pain (LBP), leg pain (LP), and pelvic girdle pain (PGP) in pregnant Spanish women and to identify the factors associated with a higher risk. SUMMARY OF BACKGROUND DATA: Previous studies on the prevalence and risk factors for LBP and PGP have shown inconsistent results. METHODS: Sixty-one clinicians across 5 regions in Spain recruited 1158 women with a median (interquartile range) pregnancy of 35 (range, 31-38) weeks. Validated methods were used to gather data on the prevalence of LBP, LP, and PGP, anthropometric and sociodemographic characteristics, history of LBP, obstetrical history, physical activity before and during pregnancy, mattress and sleep characteristics, disability, anxiety, and depression. Separate multiple logistic regression models were developed to identify the variables associated with LBP, LP, and PGP. RESULTS: The 4-week prevalence of LBP, LP, and PGP was 71.3%, 46.2%, and 64.7%, respectively. Main factors associated with a higher likelihood of reporting pain for LBP were history of LBP related and unrelated to previous pregnancy and postpartum, pain augmenting with time spent in bed, and anxiety. Previous lumbar surgery was associated with a lower risk. The factors associated with a higher likelihood of reporting LP were reporting LBP, lower academic level, younger age, depression, a lower number of hours of sleep per day, and a higher BMI, and for PGP were higher score for depression, a higher body mass index, and a more advanced stage of pregnancy. CONCLUSION: Factors associated with a higher risk vary between LBP and PGP. History of LBP, related or not to previous pregnancy or postpartum, LBP surgery, and anxiety were the factors more strongly associated with pregnancy-related LBP. When these variables are taken into account, obstetrical data from current or previous pregnancies and other variables do not show a significant association with LBP. Stage of pregnancy and depression were associated with PGP.

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.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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