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Vol. 38. Issue 2.
(April - June 2024)
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Vol. 38. Issue 2.
(April - June 2024)
Original article
Factors associated with neurofeedback and mindfulness-based combination therapy for patients with substance use disorder: A multicenter study
Chih-Hsiang Chiua, Frank Huang-Chih Choub, Hung-Chi Wua, Chih-Hung Koc, Meng-Chang Tsaid, Jui-Kang Tsaie, Chih-Yao Hsua, Kuan-Shang Chunga, Yu-Shi Lua, Dian-Jeng Lia,f,
Corresponding author
edcrfvm45@hotmail.com

Corresponding author at: Department of Addiction Science, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, 130, Kai-Syuan 2nd Rd., Ling-Ya District, Kaohsiung 802, Taiwan.
a Department of Addiction Science, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
b Department of Superintendent Office, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
c Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
d Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
e Department of Psychiatry, Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan
f Department of Nursing, Meiho University, Pingtung, Taiwan
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Tables (4)
Table 1. Distribution of substance use disorder and major mental disorder (n = 110).
Table 2. Demographic characteristics at baseline comparing patients with substance use disorder comorbid with or without major mental disorder.
Table 3. Efficacy of treatment derived from the difference of scores between baseline and follow up.
Table 4. Predictors over time on the total scores of SDS using generalized estimating equations.
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Abstract
Background and objectives

Substance use disorder (SUD) has become a major concern in public health globally, and there is an urgent need to develop an integrated psychosocial intervention. The aims of the current study are to test the efficacy of the integrated treatment with neurofeedback and mindfulness-based therapy for SUD and identify the predictors of the efficacy.

Methods

This study included 110 participants with SUD into the analysis. Outcome of measures includes demographic characteristics, severity of dependence, quality of life, symptoms of depression, and anxiety. Independent t test is used to estimate the change of scores at baseline and three months follow-up. Generalized estimating equations are applied to analyze the effect of predictors on the scores of dependence severity over time by controlling for the effects of demographic characteristics.

Results

A total of 22 (20 %) participants were comorbid with major mental disorder (MMD). The decrement of the severity in dependence, anxiety, and depression after treatment are identified. Improved scores of qualities of life in generic, psychological, social, and environmental domains are also noticed. After controlling for the effects of demographic characteristics, the predictors of poorer outcome are comorbid with MMD, lower quality of life, and higher level of depression and anxiety.

Conclusion

The present study implicates the efficacy of integrated therapy. Early identification of predictors is beneficial for healthcare workers to improve the treatment efficacy

Keywords:
Substance use disorder
Psychological intervention
Quality of life
Depression
Anxiety
Psychiatric comorbidity

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