Faith, policy, and suicide: A Machine learning and spatial analysis approach of religious affiliation and suicide rates in Toronto

IF 6.5 1区 经济学 Q1 DEVELOPMENT STUDIES Habitat International Pub Date : 2024-06-20 DOI:10.1016/j.habitatint.2024.103119
Eric Vaz , Bruno Damásio , Michael Cusimano
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Abstract

This research employs spatial analysis to investigate the intricate relationship between religious affiliations and suicide rates in the Greater Golden Horseshoe region of southern Ontario, Canada. As the seventh-leading cause of death in Canada, suicide necessitates targeted prevention strategies, especially in areas with lower suicide rates such as Ontario. To explore spatial patterns of suicide attempts and intentional self-inflicted injuries, individual-level data is collected and generalized to the census tract for rigorous spatial analyses.

Self-Organizing Maps are utilized to build distinct regional clusters based on shared characteristics. These clusters unveil diverse combinations of suicide counts, religious affiliations, income levels, education levels, and immigrant populations, providing comprehensive insights into the multicultural composition of the area.

The study findings reveal specific spatial patterns of suicide attempts associated with particular religious affiliations, shedding new light on the influence of faith and spirituality on mental health outcomes within the context of suicide prevention. The analysis underscores the importance of a nuanced understanding of these factors to guide effective suicide prevention interventions.

Considering the spatial distribution of religious affiliations and suicide rates, this study offers valuable guidance for targeted and culturally sensitive suicide prevention efforts in the Greater Golden Horseshoe region and other similar urban landscapes. The implications of this research extend to the broader mental health field and emphasize the significance of accounting for sociocultural dimensions in devising evidence-based interventions to mitigate suicide effectively.

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信仰、政策与自杀:多伦多宗教信仰与自杀率的机器学习和空间分析方法
本研究采用空间分析方法,调查加拿大安大略省南部大金马蹄地区宗教信仰与自杀率之间错综复杂的关系。作为加拿大第七大死因,自杀需要有针对性的预防策略,尤其是在安大略省等自杀率较低的地区。为了探索自杀未遂和故意自伤的空间模式,我们收集了个人层面的数据,并将其归纳到人口普查区进行严格的空间分析。这些聚类揭示了自杀人数、宗教信仰、收入水平、教育水平和移民人口的不同组合,为了解该地区的多元文化构成提供了全面的视角。研究结果揭示了与特定宗教信仰相关的自杀企图的特定空间模式,为在预防自杀的背景下阐明信仰和灵性对心理健康结果的影响提供了新的视角。考虑到宗教信仰和自杀率的空间分布,这项研究为在大金马蹄地区和其他类似城市地区开展有针对性的、文化敏感的自杀预防工作提供了宝贵的指导。这项研究的意义延伸到了更广泛的心理健康领域,并强调了在设计循证干预措施以有效缓解自杀问题时考虑社会文化因素的重要性。
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来源期刊
CiteScore
10.50
自引率
10.30%
发文量
151
审稿时长
38 days
期刊介绍: Habitat International is dedicated to the study of urban and rural human settlements: their planning, design, production and management. Its main focus is on urbanisation in its broadest sense in the developing world. However, increasingly the interrelationships and linkages between cities and towns in the developing and developed worlds are becoming apparent and solutions to the problems that result are urgently required. The economic, social, technological and political systems of the world are intertwined and changes in one region almost always affect other regions.
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