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Record W4399269968 · doi:10.61838/kman.jppr.1.3.5

Mind-Body Interactions in Chronic Pain Sufferers: A Qualitative Study on Personality Factors

2023· article· en· W4399269968 on OpenAlexaff
Ali Aghaziarati, Hu Jun, Guang-Song Dai

Bibliographic record

VenueJournal of Personality and Psychosomatic Research · 2023
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsChronic painQualitative researchPsychologyPersonalityClinical psychologyPsychotherapistPsychiatryPsychoanalysisSociologyAnthropology

Abstract

fetched live from OpenAlex

The objective of this study was to explore the mind-body interactions in chronic pain sufferers, with a particular focus on the role of personality factors. The aim was to gain in-depth insights into how psychological traits influence pain perception, coping mechanisms, and overall pain management. This qualitative study employed semi-structured interviews with 20 participants diagnosed with chronic pain conditions, including fibromyalgia, chronic back pain, and rheumatoid arthritis. Participants were recruited through purposive sampling to ensure diverse experiences. Data were collected until theoretical saturation was achieved. The interviews were transcribed verbatim and analyzed using thematic analysis, facilitated by NVivo software, to identify key themes and patterns related to psychological responses, social interactions, and coping strategies. The analysis revealed three primary themes: psychological responses, social interactions, and coping strategies. Emotional reactions such as anxiety, depression, and frustration were prevalent among participants, with 80% (16 out of 20) reporting significant emotional distress. Cognitive appraisals, including catastrophizing and self-blame, were identified in 70% (14 out of 20) of the interviews. Personality traits such as neuroticism and conscientiousness significantly influenced pain experiences. Social interactions highlighted the importance of family support, with 60% (12 out of 20) indicating strained relationships exacerbated their pain. Various coping strategies were employed, including psychological techniques (used by 50%, 10 out of 20), physical activities (45%, 9 out of 20), and alternative therapies (35%, 7 out of 20). Psychological responses, social dynamics, and diverse coping strategies were crucial in managing chronic pain. The findings suggest the need for a holistic approach to pain management that integrates psychological and physiological dimensions. Personalized treatment plans considering personality traits and incorporating mind-body therapies could enhance pain management outcomes and improve the quality of life for chronic pain sufferers.

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)0.009
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.259
GPT teacher head0.529
Teacher spread0.270 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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