Mark S. Borres | Jergen D. Orias | Alvin Mercado
Discipline: Mathematics, Psychology, Statistics
This paper aims to present a mathematical model for explaining global suicide rate among men and women across the world since 2007. Analysis of this nature grants a valuable input to comprehensively associate suicide incidence in men and women to its socially perceivable integrated factors. This paper is designed from a descriptive approach, data mining technique, utilizing available data taken from the Human Development Report 2013 of the United Nations where social integration indicators were specified. Results indicated a huge variation between the incidences of men and women suicide rates and from among the specified indicators; more pronounced in men than women. The variations can be explained by the significant societal-integrated factors affecting men including Well-being Index (p-value 0.03), Societal Index(P=0.00), and Safety Index (P=0.05) while only Societal Index (P=0.00) has contributed significantly to the occurrence of the phenomenon in women. This gender-based and social integration based analysis can significantly contribute to understanding of suicide and designing more effective suicide preventions and interventions for both men and women in the society.
ISSN 2244-6710 (Print)
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