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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Influential Path of Social Risk Factors toward Suicidal Behavior—Evidence from Chinese Sina Weibo Users 2013–2018
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Influential Path of Social Risk Factors toward Suicidal Behavior—Evidence from Chinese Sina Weibo Users 2013–2018

机译：来自中国新浪微博用户2013-2018的社会风险因素的影响

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(1) Purpose: The purpose of this study was to determine suicidal risk factors, the relationship and the underlying mechanism between social variables and suicidal behavior. We hope to provide empirical support for the future suicide prevention of social media users at the social level. (2) Methods: The path analysis model with psychache as the mediate variable was constructed to analyze the relationship between suicidal behavior and selected social macro variables. The data for our research was taken from the Chinese Suicide Dictionary, Moral Foundation Dictionary, Cultural Value Dictionary and National Bureau of Statistics. (3) Results: The path analysis model was an adequate representation of the data. With the mediator psychache, higher authority vice, individualism, and disposable income of residents significantly predicted less suicidal behavior. Purity vice, collectivism, and proportion of the primary industry had positive significant effect on suicidal behavior via the mediator psychache. The coefficients of harm vice, fairness vice, ingroup vice, public transport and car for every 10,000 people, urban population density, gross domestic product (GDP), urban registered unemployment rate, and crude divorce rate were not significant. Furthermore, we applied the model to three major economic development belts in China. The model’s result meant different economic zones had no influence on the model designed in our study. (4) Conclusions: Our evidence informs population-based suicide prevention policymakers that incorporating some social factors like authority vice, individualism, etc. can help prevent suicidal ideation in China.
机译：（1）目的：本研究的目的是确定自杀风险因素，社会变量与自杀行为之间的关系和潜在机制。我们希望为社会层面的社会媒体用户的未来自杀预防，提供实证支持。 （2）方法：构建了随着调解变量的介导变量的Path分析模型，分析了自杀行为与所选社会宏变量的关系。我们的研究数据是从中国自杀词典，道德群中的统计局统计局中的自杀词典，道德群系，文化值词典和国家局。 （3）结果：路径分析模型是数据的充分表示。凭借介质，居民的更高权威副，个人主义和可支配收入明显预测了不太自杀行为。纯度副，集体主义和主要行业的比例对通过调解玻斗士的对自杀行为产生积极的显着影响。危害副，公平性副，英雄副副，公共交通和汽车的系数，每10,000人，城市人口密度，国内生产总值（GDP），城市登记失业率和粗殖民地不大。此外，我们将模型应用于中国三大经济开发腰带。该模型的结果意味着不同的经济区对我们研究中设计的模型没有影响。 （4）结论：我们的证据通知基于人口的自杀预防政策制定者，其中包含权威副，个人主义等一些社会因素，可以帮助防止中国的自杀意见。

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