Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Department of Statistics, Renmin University of China, Beijing 100872, China.
Int J Environ Res Public Health. 2021 Mar 5;18(5):2604. doi: 10.3390/ijerph18052604.
(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.
(1)目的：本研究旨在确定自杀风险因素、社会变量与自杀行为之间的关系和潜在机制。我们希望为未来社交媒体用户的社会层面的自杀预防提供实证支持。(2)方法：构建了以心理困扰为中介变量的路径分析模型，分析自杀行为与选定的社会宏观变量之间的关系。我们的研究数据来自《中国自杀词典》、《道德基础词典》、《文化价值观词典》和国家统计局。(3)结果：路径分析模型很好地代表了数据。在中介心理困扰的作用下，较高的权威反面、个人主义和居民可支配收入显著预测较少的自杀行为。纯洁反面、集体主义和第一产业的比例通过中介心理困扰对自杀行为产生积极的显著影响。伤害反面、公平反面、内群体反面、每万人公共交通和汽车数量、城市人口密度、国内生产总值（GDP）、城市登记失业率和粗离婚率的系数没有显著影响。此外，我们将该模型应用于中国三大经济发展带。模型的结果意味着不同的经济区域对我们研究中设计的模型没有影响。(4)结论：我们的证据告诉基于人口的自杀预防政策制定者，将一些社会因素（如权威反面、个人主义等）纳入其中可以帮助预防中国的自杀意念。
