Literature DB >> 28965809

Predictors of negative symptoms in the chronic phase of schizophrenia: A cross-sectional study.

Koichiro Fujimaki1, Shigeru Toki2, Hidehisa Yamashita3, Takahiro Oyamada2, Shigeto Yamawaki3.   

Abstract

This study was designed to investigate the relationship between negative symptoms and key indicators for long-term hospital stays among inpatients with schizophrenia. A further aim was to elucidate the clinical determinants of negative symptoms. The following were used as index factors: age, duration of illness, duration of hospitalization, age at onset, years of education, smoking status, body mass index, concentrations of serum triglycerides, total cholesterol, uric acid, QTc interval duration from electrocardiography, dose equivalents of antipsychotic and anticholinergic agents, neurocognitive function, drug-induced extrapyramidal symptoms, involuntary movements, and psychiatric symptoms. Spearman's rank correlation coefficients were calculated and regression analyses were performed to examine associations between these factors and negative symptoms. Positive symptoms correlated positively with negative symptoms as rated on the Brief Psychiatric Rating Scale. Age at onset correlated negatively with negative symptoms. Multiple regression analysis showed that dose equivalents of atypical antipsychotics and positive symptoms predicted negative symptoms. Increasing our understanding of these predictors as key indicators of the severity of negative symptoms may aid in the reconsideration of therapeutic programs for chronic schizophrenia.
Copyright © 2017 Elsevier B.V. All rights reserved.

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Keywords:  Age at onset; Atypical antipsychotics; Negative symptoms; Positive symptoms; Schizophrenia

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Year:  2017        PMID: 28965809     DOI: 10.1016/j.psychres.2017.09.051

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  1 in total

1.  Assessment Causality in Associations Between Serum Uric Acid and Risk of Schizophrenia: A Two-Sample Bidirectional Mendelian Randomization Study.

Authors:  Qianqian Luo; Zheng Wen; Yuanfan Li; Zefeng Chen; Xinyang Long; Yulan Bai; Shengzhu Huang; Yunkun Yan; Rui Lin; Zengnan Mo
Journal:  Clin Epidemiol       Date:  2020-02-26       Impact factor: 4.790

  1 in total

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