Literature DB >> 25001276

Prevalence and correlates of depressive symptoms during early methamphetamine withdrawal in Han Chinese population.

Jie Zhang1, Ying Xie2, Hang Su2, Jingyan Tao2, Yeming Sun3, Liren Li4, Haiyan Liang5, Ruqian He2, Bin Han2, Yuling Lu2, Haiwei Sun2, Youdan Wei2, Jun Guo6, Xiang Yang Zhang7, Jincai He8.   

Abstract

BACKGROUND: Depression, a common comorbidity of drug abuse, is often a core component of withdrawal symptoms; however, risk factors associated with depressive symptoms during the acute stage of withdrawal among methamphetamine (METH) users are not well understood. This study investigated the correlations between several potential risk factors and depressive symptoms during acute METH withdrawal in a Han Chinese population.
METHODS: A total of 243 eligible Chinese METH users were recruited from Wenzhou Sanyang Detoxification Institute in Zhejiang province from November 2012 to June 2013. A set of self-administrative questionnaires were used to collect information about socio-demographics, drug use history and depression. Thirteen-item Beck Depression Inventory (BDI-13) was used to measure depressive symptoms.
RESULTS: METH users had a mean BDI-13 score of 12.39; 157 subjects (64.6%) reported depressive symptoms during METH withdrawal, of which 74 subjects (30.5%) reported moderate depressive symptoms and 83 subjects (34.1%) reported severe depressive symptoms. Higher frequency of drug use and history of METH-use relapse were associated with depressive symptoms (adjusted OR=2.8; 95% CI=1.56-5.04) and (adjusted OR=3.4; 95% CI=1.36-8.49), respectively. Moderate alcohol drinking was associated with less risk for depressive symptoms during acute withdrawal (adjusted OR=0.54; 95% CI=0.31-0.93).
CONCLUSIONS: Depressive symptoms are common during early METH withdrawal. In addition, several risk factors including frequency of METH use and history of relapse were positively associated with depressive symptoms during that period while moderate alcohol drinking was negatively associated with depressive symptoms.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chinese; Correlates; Depressive symptoms; Methamphetamine; Prevalence; Withdrawal

Mesh:

Substances:

Year:  2014        PMID: 25001276     DOI: 10.1016/j.drugalcdep.2014.06.021

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  6 in total

1.  Methamphetamine-induced short-term increase and long-term decrease in spatial working memory affects protein Kinase M zeta (PKMζ), dopamine, and glutamate receptors.

Authors:  Stephen H Braren; Damian Drapala; Ingrid K Tulloch; Peter A Serrano
Journal:  Front Behav Neurosci       Date:  2014-12-18       Impact factor: 3.558

2.  The Role of Sexual Behaviors in the Relapse Process in Iranian Methamphetamine Users: A Qualitative Study.

Authors:  Mohammad Hadi Safi; Seyyed Jalal Younesi; Asghar Dadkhah; Ali Farhoudian; Masoud Fallahi-Khoshknab; Manoochehr Azkhosh
Journal:  Addict Health       Date:  2016

3.  The Association of High-Frequency Nut Intake With a Low Risk of Psychological Problems in Female Methamphetamine Users.

Authors:  Zihong Song; Fang Dong; Yizhi Liu; Guanhua Liu; Baohua Li; Xiuyu Pang; Kang An; Dong Li; Shanshan Chen; Weijia Xing; Xizhu Xu
Journal:  Front Psychiatry       Date:  2022-08-15       Impact factor: 5.435

4.  Psychometric Properties of the Persian Version of the Short Beck Depression Inventory with Iranian Psychiatric Outpatients.

Authors:  Mahboubeh Dadfar; Zornitsa Kalibatseva
Journal:  Scientifica (Cairo)       Date:  2016-05-17

5.  BDNF-TrkB signaling in the nucleus accumbens shell of mice has key role in methamphetamine withdrawal symptoms.

Authors:  Q Ren; M Ma; C Yang; J-C Zhang; W Yao; K Hashimoto
Journal:  Transl Psychiatry       Date:  2015-10-27       Impact factor: 6.222

6.  The exploration of optimized protocol for repetitive transcranial magnetic stimulation in the treatment of methamphetamine use disorder: A randomized sham-controlled study.

Authors:  Tianzhen Chen; Hang Su; Ruihua Li; Haifeng Jiang; Xiaotong Li; Qianying Wu; Haoye Tan; Jingying Zhang; Na Zhong; Jiang Du; Huijuan Gu; Min Zhao
Journal:  EBioMedicine       Date:  2020-09-25       Impact factor: 8.143

  6 in total

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