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Record W6903425375 · doi:10.1192/j.eurpsy.2023.2232

Relation between Negative Symptoms and Core Stability as an Indicator of Functional Exercise Capacity in Schizophrenia

2023· article· en· W6903425375 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed Central · 2023
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsAnhedoniaPsychosocialSchizophrenia (object-oriented programming)Core (optical fiber)PopulationGlobal Assessment of FunctioningPleasure

Abstract

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INTRODUCTION: The core refers to the lumbo-pelvic complex located at the center of gravity of the body.Core stability has a crucial role in sudden balance change and body movements(Zemkova et al. Front. Physiol 2022; 13).The more stabilized core muscles indicate better movements and body balance.Therefore, core stability is related with exercise performance, falling risk and falling fear.However, patients with schizophrenia have lower motivation and capability to exercise compared to normal population that may result decrease in core stability. OBJECTIVES: The aim of this study is to determine the relation between core stability,functional exercise capacity and negative symptoms including especially anhedonia, motivation, psychosocial functioning in schizophrenia patients.As our knowledge,this is the first study to detect the core stability in schizophrenia. METHODS: Participants of the study were recruited from the Community Mental Health Service of Çigli Education and Research Hospital. Twenty-six individuals diagnosed as schizophrenia according to DSM-V criteria were included into the study.Symptom severity was evaluated with Positive and Negative Syndrome Scale(PANSS), psychosocial functioning was assessed with Personal and Social Performance Scale(PSP),depression was assessed using Calgary Depression Scale for Schizophrenia(CDSS),avoidance motivation assessed with Behavioral Inhibition System and Behavioral Activation System (BIS/BAS),social and physical pleasure were measured via Revised Social Anhedonia Scale (RSAS) and Revised Physical Anhedonia Scale Functional (RPAS) exercise capacity was assessed by 6-minute walking test(6MWT) and core stability was assessed using Mcgill Core Endurance Tests(MCET).Patients who exercise regularly, having metabolic diseases or comorbid psychiatric disorder were excluded from the study.The data was analyzed by IBM SPSS 24 with Pearson correlation test. RESULTS: MCET scores were found to be moderately correlated to PSP scores (r=.45,p=.025) and BIS sensitivity was moderately correlated to psychosocial functioning (r=-.42,p=.035).Six-MWT scores were negatively correlated with BIS (r=-.51, p=.019),CSDC (r=-.47, p=.035) and PANSS negative subscale (r=-.42, p=.042). CONCLUSIONS: In this study core stability was found to be related to psychosocial functioning.Also,patients having negative symptoms and depression showed lower functional exercise capacity.Lower scores in social functioning and higher behavioral inhibition sensitivity may be related to psychosocial dysfunctioning and negative symptoms of schizophrenia.However, appropriate core stability training and physical exercise may help individuals with schizophrenia to improve these skills.This may lead patients to exercise,have better social performance,self-care and lower avoidance behavior. DISCLOSURE OF INTEREST: E. I. Hoşgelen: None Declared, N. Bozbıyık: None Declared, Ö. Akgül: None Declared, F. Şimşek: None Declared, N. Gelecek: None Declared, K. Alptekin Grant / Research support from: TUBITAK, Consultant of: Abdi Ibrahim, Abdi İbrahim Otsuka, Janssen, Ali Raif

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.066
GPT teacher head0.278
Teacher spread0.212 · 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
Published2023
Admission routes1
Has abstractyes

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