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社区精神分裂症患者睡眠障碍与攻击行为的关系:一个中介调节的中值效应模型。

The relationship between sleep disturbance and aggressive behaviour among community-dwelling schizophrenia patients: a moderated mesomeric effect model.

机构信息

Department of Nursing, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Administration Office, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

BMC Public Health. 2024 Jun 15;24(1):1600. doi: 10.1186/s12889-024-19090-9.

DOI:10.1186/s12889-024-19090-9
PMID:38879495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11179300/
Abstract

OBJECTIVE

Sleep disturbance is the most common concern of patients with schizophrenia and can lead to a poor prognosis, a low survival rate and aggressive behaviour, posing a significant threat to social security and stability. The aim of this study was to explore the mediating role of depression in the relationship between sleep disturbance and aggressive behaviour in people with schizophrenia living in the community, as well as the regulatory role of family intimacy and adaptability. These findings, in turn, may provide a theoretical basis and constructive suggestions for addressing the physical and mental health problems of these patients.

METHOD

From September 2020 to August 2021, a convenience sampling method was used to select schizophrenia patients from the community attending follow-up appointments at the Fourth People's Hospital of Pengzhou City, China. The researchers conducted a survey in the form of a star questionnaire. The survey included questions about general demographic data and disease-related questionnaires: the Pittsburgh Sleep Quality Index (PSQI), the revised Chinese version of the Modified Over Aggression Scale (MOAS), the Self-Rating Depression Scale (SDS), and the Family Adaptability and Cohesion Scale, Second Edition. FACES-II and SPSS 21.0 were used to organize and analyse the data.

RESULTS

A total of 818 schizophrenia patients living in the community participated in the survey, and 785 valid questionnaires were ultimately collected, for a response rate of 95.97%. The results of multivariate analysis indicated that sex, number of psychiatric medications used, outpatient follow-up, history of hospitalization for mental disorders and sleep disturbances were factors influencing aggressive behaviour. Depression played a partial mediating role between sleep disturbance and aggressive behaviour, and the indirect effect size was 0.043 (57.33% of the total). In addition to sleep disturbance, family intimacy (β=-0.009, P < 0.01) and adaptability (β=-0.145, P < 0.001) can significantly predict depression.

CONCLUSION

The findings indicate that sleep disturbance in schizophrenia patients in the community is a risk factor for aggressive behaviour, and depression plays a partial mediating role in the relationship among sleep disturbance, aggressive behaviour and family intimacy. In addition, adaptability plays a regulatory role in the relationship between depression and sleep disturbance.

摘要

目的

睡眠障碍是精神分裂症患者最常见的关注点,可导致预后不良、生存率低和攻击行为,对社会安全与稳定构成重大威胁。本研究旨在探讨社区精神分裂症患者睡眠障碍与攻击行为之间的关系中抑郁的中介作用,以及家庭亲密度和适应性的调节作用。这些发现可能为解决这些患者的身心健康问题提供理论依据和建设性建议。

方法

2020 年 9 月至 2021 年 8 月,采用便利抽样法选取在中国彭州市第四人民医院社区随访的精神分裂症患者。研究人员以星型问卷的形式进行了一项调查。调查内容包括一般人口统计学数据和与疾病相关的问卷:匹兹堡睡眠质量指数(PSQI)、改良过激量表中文版(MOAS)、自评抑郁量表(SDS)和家庭适应性和凝聚力量表第二版(FACES-II)。采用 SPSS 21.0 对数据进行组织和分析。

结果

共有 818 名社区精神分裂症患者参与了调查,最终共收集到 785 份有效问卷,应答率为 95.97%。多变量分析结果表明,性别、使用精神科药物的种类、门诊随访、精神障碍住院史和睡眠障碍是影响攻击行为的因素。抑郁在睡眠障碍与攻击行为之间起部分中介作用,间接效应量为 0.043(总效应的 57.33%)。除睡眠障碍外,家庭亲密度(β=-0.009,P<0.01)和适应性(β=-0.145,P<0.001)也能显著预测抑郁。

结论

研究结果表明,社区精神分裂症患者的睡眠障碍是攻击行为的一个风险因素,抑郁在睡眠障碍、攻击行为和家庭亲密度之间的关系中起部分中介作用。此外,适应性在抑郁与睡眠障碍的关系中起调节作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/b63174951181/12889_2024_19090_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/8e5865b0d4d5/12889_2024_19090_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/4347a5fa7dd3/12889_2024_19090_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/0237a3c3ac57/12889_2024_19090_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/b63174951181/12889_2024_19090_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/8e5865b0d4d5/12889_2024_19090_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/4347a5fa7dd3/12889_2024_19090_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/0237a3c3ac57/12889_2024_19090_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0ef/11179300/b63174951181/12889_2024_19090_Fig4_HTML.jpg

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