Rabiei Saman, Kamyab Parnia, Dehghan Azizallah, Bagheri Zahra, Fakhraei Bahareh
Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
Department of Psychiatry, School of Medicine, Fasa University of Medical Sciences, Fasa, Iran.
BMC Psychol. 2025 Jul 1;13(1):655. doi: 10.1186/s40359-025-02961-0.
There is a lack of reliable information regarding the factors associated with violence in underdeveloped countries. This study examines the relationship between socioeconomic status (SES), demographic factors, substance use, and violence in the Fasa Youth Cohort (FYC), focusing on how these risk factors affect both sexes.
Using baseline data from 3013 participants aged 15-34 in the FYC, we assessed violence and its potential predictors via validated questionnaires. Statistical analyses included chi-square tests, independent t-tests, and multivariate logistic regression to identify associations. Effect sizes were reported as Cramer's V for chi-square tests and Cohen's d for independent t-tests. P-values less than 0.05 were considered statistically significant.
Violent behavior was reported in 45.6% of participants. High SES was significantly associated with increased violence (OR = 1.61, 95% CI: 1.33-1.95; p < 0.001). Additional risk factors included female sex, alcohol use, smoking, high BMI, and depression. Furthermore, sex-differentiated analysis revealed that high SES, early marriage, depression, smoking, and opioid addiction, were associated with greater violence in both sexes. However, intermediate SES and high BMI were risk factors only among women.
Implementing measures to prevent and treat depression, decrease smoking, opiate and alcohol use, regulate individuals' BMI, discourage early marriage, and promote empathetic behaviors might effectively mitigate violence in society.
在欠发达国家,缺乏与暴力相关因素的可靠信息。本研究调查了法萨青年队列(FYC)中社会经济地位(SES)、人口统计学因素、物质使用与暴力之间的关系,重点关注这些风险因素如何影响两性。
利用FYC中3013名年龄在15 - 34岁参与者的基线数据,我们通过经过验证的问卷评估了暴力行为及其潜在预测因素。统计分析包括卡方检验、独立t检验和多变量逻辑回归以确定关联。效应量以卡方检验的克莱姆V系数和独立t检验的科恩d系数报告。p值小于0.05被认为具有统计学意义。
45.6%的参与者报告有暴力行为。高社会经济地位与暴力行为增加显著相关(OR = 1.61,95% CI:1.33 - 1.95;p < 0.001)。其他风险因素包括女性性别、饮酒、吸烟、高体重指数和抑郁。此外,性别差异分析显示,高社会经济地位、早婚、抑郁、吸烟和阿片类药物成瘾与两性中更大的暴力行为相关。然而,中等社会经济地位和高体重指数仅是女性的风险因素。
实施预防和治疗抑郁、减少吸烟、阿片类药物和酒精使用、调节个体体重指数、劝阻早婚以及促进共情行为的措施,可能有效减轻社会中的暴力行为。