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Record W3137857148 · doi:10.1186/s12991-021-00345-3

Psychological predictors of chronic pain in Al Kharj region, Saudi Arabia

2021· article· en· W3137857148 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

VenueAnnals of General Psychiatry · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Northern British Columbia
FundersDeanship of Scientific Research, Prince Sattam bin Abdulaziz UniversityPrince Sattam bin Abdulaziz University
KeywordsGeneral Health QuestionnaireMedicinePopulationDistressChronic painPsychological distressCross-sectional studyPsychiatryClinical psychologyPhysical therapyMental healthEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Psychological distress is one of the major determinants for the experience progression, and recovery of chronic pain. However, it is unclear whether physical pain in specific body sites could be predictive of psychological illness. In this study, we aim to investigate the link between chronic pain in specific anatomical sites and psychological distress represented in the General Health Questionnaire-12 (GHQ-12 items). METHODS: A population-based cross-sectional study was conducted in Al Kharj region of Saudi Arabia. We included 1003 participants. Data were collected using the GHQ-12, and a subjective report on eight anatomical pain sites. Data analysis used statistical software SPSS version 26.0 for Windows statistical package. RESULTS: Chronic musculoskeletal pain in the neck and head regions was significantly associated with higher psychological distress. Other sites (back, lower limb, chest, abdominal and upper limb pain) were not associated with psychological distress. In multiple regression analysis, chronic 'general' pain was significantly associated with higher psychological distress (unstandardized Beta regression coefficient = 2.568; P < 0.0001). The patients with younger age were more likely to develop negative psychological disorders (unstandardized Beta = - 3.137; P = 0.038). Females were more likely to have higher psychological distress than males (unstandardized Beta = 2.464, P = 0.003). Single (not-married) people have a higher risk of psychological distress than married people (unstandardized Beta = 2.518, P = 0.025). Also, job type/status whether being unemployed (not working) or 'civilian' (civil servant/worker) was positively and significantly associated with an increased probability of psychological distress (unstandardized Beta = 1.436, P = 0.019). CONCLUSION: Chronic 'general' pain was significantly associated with negative psychological disorders. The government of Saudi Arabia needs to focus on patients with chronic 'general' pain, females, young and unmarried individuals as potentially 'high-risk' population subgroups for adverse psychological disorders, and subsequent long-term complications.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.032
GPT teacher head0.342
Teacher spread0.310 · 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