Literature DB >> 25829482

Gender differences in depressive symptom profiles and patterns of psychotropic drug usage in Asian patients with depression: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants study.

Seon-Cheol Park1, Min-Soo Lee2, Naotaka Shinfuku3, Norman Sartorius4, Yong Chon Park5.   

Abstract

OBJECTIVES: The purpose of this study was to investigate whether there were gender-specific depressive symptom profiles or gender-specific patterns of psychotropic agent usage in Asian patients with depression.
METHOD: Clinical data from the Research on Asian Psychotropic Prescription Patterns for Antidepressant study (1171 depressed patients) were used to determine gender differences by analysis of covariates for continuous variables and by logistic regression analysis for discrete variables. In addition, a binary logistic regression model was fitted to identify independent clinical correlates of the gender-specific pattern on psychotropic drug usage.
RESULTS: Men were more likely than women to have loss of interest (adjusted odds ratio = 1.379, p = 0.009), fatigue (adjusted odds ratio = 1.298, p = 0.033) and concurrent substance abuse (adjusted odds ratio = 3.793, p = 0.008), but gender differences in other symptom profiles and clinical features were not significant. Men were also more likely than women to be prescribed adjunctive therapy with a second-generation antipsychotic (adjusted odds ratio = 1.320, p = 0.044). However, men were less likely than women to have suicidal thoughts/acts (adjusted odds ratio = 0.724, p = 0.028). Binary logistic regression models revealed that lower age (odds ratio = 0.986, p = 0.027) and current hospitalization (odds ratio = 3.348, p < 0.0001) were independent clinical correlates of use of second-generation antipsychotics as adjunctive therapy for treating depressed Asian men.
CONCLUSION: Unique gender-specific symptom profiles and gender-specific patterns of psychotropic drug usage can be identified in Asian patients with depression. Hence, ethnic and cultural influences on the gender preponderance of depression should be considered in the clinical psychiatry of Asian patients. © The Royal Australian and New Zealand College of Psychiatrists 2015.

Entities:  

Keywords:  Asian; Depression; depressive symptom profiles; gender; second-generation antipsychotics

Mesh:

Substances:

Year:  2015        PMID: 25829482     DOI: 10.1177/0004867415579464

Source DB:  PubMed          Journal:  Aust N Z J Psychiatry        ISSN: 0004-8674            Impact factor:   5.744


  8 in total

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4.  A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder.

Authors:  Kiwon Kim; Je Il Ryu; Bong Ju Lee; Euihyeon Na; Yu-Tao Xiang; Shigenobu Kanba; Takahiro A Kato; Mian-Yoon Chong; Shih-Ku Lin; Ajit Avasthi; Sandeep Grover; Roy Abraham Kallivayalil; Pornjira Pariwatcharakul; Kok Yoon Chee; Andi J Tanra; Chay-Hoon Tan; Kang Sim; Norman Sartorius; Naotaka Shinfuku; Yong Chon Park; Seon-Cheol Park
Journal:  J Pers Med       Date:  2022-07-26

5.  Gender Differences in the Clinical Characteristics of Psychotic Depression: Results from the CRESCEND Study.

Authors:  Seon-Cheol Park; Søren Dinesen Østergaard; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  Clin Psychopharmacol Neurosci       Date:  2015-12-31       Impact factor: 2.582

6.  Network analysis of the depressive symptom profiles in Asian patients with depressive disorders: Findings from the Research on Asian Psychotropic Prescription Patterns for Antidepressants (REAP-AD).

Authors:  Seon-Cheol Park; Eun Young Jang; Yu-Tao Xiang; Shigenobu Kanba; Takahiro A Kato; Mian-Yoon Chong; Shih-Ku Lin; Shu-Yu Yang; Ajit Avasthi; Sandeep Grover; Roy A Kallivayalil; Pichet Udomratn; Kok Yoon Chee; Andi J Tanra; Chay-Hoon Tan; Kang Sim; Norman Sartorius; Yong Chon Park; Naotaka Shinfuku
Journal:  Psychiatry Clin Neurosci       Date:  2020-03-05       Impact factor: 5.188

7.  Risks of treated anxiety, depression, and insomnia among nurses: A nationwide longitudinal cohort study.

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Journal:  PLoS One       Date:  2018-09-25       Impact factor: 3.240

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  8 in total

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