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The survey of psychological status, family factors and risk factors of irritable bowel syndrome

2013· article· en· W2891040822 on OpenAlexaboutno aff
Xiaoyan Liu, Min Wang, Qiang Wang, Pei-kai Li, Yu Hou, Ping Su, Jing Yuan, Fan Yang, Pauline Sung

Bibliographic record

VenuePolyU Institutional Research Archive (Hong Kong Polytechnic University) · 2013
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrritable bowel syndromeAlexithymiaAnxietyPsychologyToronto Alexithymia ScaleEysenck Personality QuestionnaireClinical psychologyPersonalityRating scaleDepression (economics)Internal medicinePsychiatryMedicineBig Five personality traitsDevelopmental psychologyExtraversion and introversion

Abstract

fetched live from OpenAlex

目的: 探讨肠易激综合征(Irritable Bowel Syndrome,IBS)患者情绪、人格特质、述情特点、疾病观念与求医行为及家庭情况等因素及相关的危险因素.方法: 2010年7月至2012年1月在云南省第二人民医院消化科门诊及病房,通过方便取样对 126 例符合罗马Ⅲ标准的IBS患者,进行腹部症状及严重程度调查,同时进行焦虑自评量表(SAS)、抑郁自评量表(SDS)、家庭环境量表(FES)、系统家庭动力学自评量表(SSFD)、艾森克人格问卷(EPQA)、多伦多述情障碍量表(TAS)、疾病观念与求医行为量表(ICHSB)等问卷调查,并将调查结果与126例健康志愿者进行比较. 结果: 1.IBS组抑郁、焦虑、家庭环境因子V、艾森克因子N和因子总分、多伦多述情障碍因子Ⅱ[分别为(40.23±6.96)分,(38.73±7.49)分,(6.78±1.57)分,(13.67±5.37)分,(43.11±7.12)分,(23.12±4.42)分],高于对照组[分别为(36.43±7.25)分,(32.08 ±7.25)分,(5.72±2.01)分,(11.22±5.43)分,(39.38±6.75)分,(20.92±3.95)分];多伦多述情障碍因子Ⅲ(14.73±4.13)分低于对照组(15.11±3.48)分,差异具有显著性(P<0.05).2.腹部症状与抑郁、焦虑、系统家庭动力学因子Ⅲ和因子总分、疾病观念与求医行为因子Ⅱ呈正相关,与家庭环境因子Ⅰ和因子Ⅸ呈负相关.3.焦虑、成功性、年龄、缺乏识别情感和躯体感受的能力为危险因素,受教育年限为保护因素. 结论: IBS患者易伴有抑郁、焦虑情绪,家庭成员支持少、家庭规则不明确者症状重;焦虑、竞争性活动、缺乏识别情感和躯体感受的能力为危险因素.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.355
Teacher spread0.273 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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