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Record W4381800248 · doi:10.53730/ijhs.v7ns1.14395

Prevalence of anxiety and depression among celiac disease patients

2023· article· en· W4381800248 on OpenAlexaff
Ghaazaan Khan, Umer Bin Tariq, Iqra Shafqat, Hassan Bin Usman Shah, Imran Khawaja, Ahmed Aftab

Bibliographic record

VenueInternational Journal of Health Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsAbbott (Canada)
Fundersnot available
KeywordsMedicineDepression (economics)Incidence (geometry)AnxietyInternal medicineMalabsorptionDiseaseSerologyGastroenterologyPsychiatryPediatricsImmunologyAntibody

Abstract

fetched live from OpenAlex

Background and Aim: Celiac disease is an immune-mediated intestinal condition with a 1% worldwide incidence caused by gluten sensitivity in a genetically predisposed individual. It manifests as gastrointestinal symptoms, malabsorption-related symptoms, and/or extra intestinal manifestations such as neuropsychiatric problems. The present study aimed to determine the prevalence of anxiety and depression in celiac disease patients. Patients and Method: This questionnaire based cross-sectional study was carried out on 126 celiac disease patients investigated in the Internal Medicine and Gastroenterology Department of District Headquarter Hospital, Charsadda Pakistan. All the patients with age ≥18 years old diagnosed with celiac disease based on positive serological test and biopsy confirmation were enrolled. The questionnaire consisted of demographic details, Generalized Anxiety Disorder-7 (GAD-7) score, and nine questions that assessed depressive symptoms. SPSS version 27 was used for data analysis. Results: The overall mean age was 36.5± 12.16 years. Of the 126 total patients, there were 98 (77.8%) female and 28 (22.2%) male. The incidence of anxiety and depressive symptoms were 84.1% (n=106) and 81% (n=102) respectively. There was no causal relationship found between any of the factors and the occurrence of anxiety or depression symptoms.

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)0.001
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 score0.058
Threshold uncertainty score0.117

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 head0.027
GPT teacher head0.386
Teacher spread0.360 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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