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DOI 10.1016/j.drugalcdep.2018.05.006

Медицинская библиотека · Drug and alcohol dependence · 2018

Non-suicidal self-injury in Chinese heroin-dependent patients receiving methadone maintenance treatment: Prevalence and associated factors.

Zhong Bao-Liang, Xu Yan-Min, Zhu Jun-Hong, Liu Xiu-Jun

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

To date, there have been no studies examining non-suicidal self-injury (NSSI) in Chinese heroin-dependent patients (HDPs) receiving methadone maintenance treatment (MMT). This study determined the prevalence of NSSI and its methods in HDPs under MMT as well as factors significantly associated with NSSI.

METHOD: We recruited a cross-sectional sample of 652 HDPs from three MMT clinics in Wuhan, China. In total, 603 HDPs (92.5%) completed standardized questionnaires concerning demographic, clinical, and psychosocial data. The presence and methods of NSSI were assessed with two standardized questions.

RESULTS

The one-month prevalence of NSSI in Chinese HDPs receiving MMT was 13.8%. The most common three methods of NSSI were burning (59%), cutting (19.3%), and hitting (9.6%). Significant factors associated with NSSI in multiple logistic regression analysis were unemployment (OR [95%CI] = 2.54 [1.26, 5.10], P = 0.009), a short duration of MMT (OR [95%CI] = 1.04 [1.01, 1.09], P = 0.034), pain (OR [95%CI] = 2.31 [1.05, 5.35], P = 0.028), depression (OR [95%CI] = 4.32 [2.09, 9.00], P < 0.001), anxiety (OR [95%CI] = 3.74 [1.61, 8.70], P = 0.002), and loneliness (OR [95%CI] = 3.04 [1.27, 7.26], P = 0.012).

CONCLUSIONS

NSSI is common among Chinese HDPs of MMT clinics. Services for HDPs in MMT settings should include periodic screening for NSSI, adequate pain treatment, and appropriate psychosocial treatment for depression, anxiety, and loneliness.

Для цитирования: Zhong Bao-Liang, Xu Yan-Min, Zhu Jun-Hong, Liu Xiu-Jun. Non-suicidal self-injury in Chinese heroin-dependent patients receiving methadone maintenance treatment: Prevalence and associated factors.. Drug and alcohol dependence. 2018. DOI: 10.1016/j.drugalcdep.2018.05.006.

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