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A longitudinal study of suicide and suicide attempt in northwest of Iran: incidence, predictors, and socioeconomic status and the role of sociocultural status

机译:伊朗西北自杀和自杀企图的纵向研究:发病,预测因子和社会经济地位以及社会文化地位的作用

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A detailed community-level understanding of socioeconomic status (SES) and sociocultural status (SCS) of suicides and suicide attempters (SAs) in a prospective design could have significant implications for policymakers at the local prevention and treatment levels. The effect of SCS and SES on SAs is poorly understood and investigated in Iran. The present study aimed to investigate the incidence, trend, and role of SES and SCS on suicide and SAs. A longitudinal study was conducted based on the registry for SAs in Malekan County, Iran, from 2015 to 2018. Demographic characteristics, SES, SCS, incidence rates, and predictors of suicidal behaviors were measured via structured instruments. Simple and multiple logistic regressions were used to estimate crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs). A total of 853 SAs (32 suicides and 821 attempts) were identified during the study. Trend analysis revealed that the suicide rate significantly decreased from 2014 (10.28) to 2018 (1.75) per 100,000. In the final multiple variable models, age (26–40), male sex, unemployment, antisocial activities, history of SA, hanging method, and season (spring) increased the suicide risk while religious commitment had protective effects on suicide. Our findings indicated that demographic characteristics, low SES, and SCS are associated with suicide. In this county, trend of suicide and SA were decreased from 2014 to 2018. This study findings highlight the need to consider a wide range of contextual variables, socio-demographic, SES, and SCS in suicide prevention strategies. Improving inter-sectoral collaborations and policymakers’ attitudes are imperative for SA reduction.
机译:在预期设计中,对自杀和自杀企图(SAS)的社会经济地位(SES)和社会文化地位(SCS)的详细社区级别理解可能对当地预防和治疗水平的政策制定者产生重大影响。 SCS和SES对SAS的影响很差并在伊朗调查。本研究旨在调查SES和SCS对自杀和SAS的发病率,趋势和作用。从2015年到2018年,基于Malekan County的SAS登记处进行了纵向研究,从2015年到2018年。通过结构性仪器测量人口特征,SES,SCS,发病率和自杀行为的预测因素。简单且多种逻辑回归用于估计粗糙和调整后的大量比率(或)和95%置信区间(CIS)。在研究期间,共鉴定了总共853个SAS(32个自杀和821次尝试)。趋势分析显示,自2014年(10.28)至2018年(1.75)每10万人,自杀率明显下降。在最终多变量模型中,年龄(26-40),男性性,失业,反社会活动,SA的历史,悬挂方法和季节(春季)增加了自杀风险,而宗教承诺对自杀具有保护作用。我们的研究结果表明,人口统计学特性,低SES和SCS与自杀相关。在这座县,自杀和SA的趋势从2014年到2018年下降。本研究发现强调了需要考虑自杀预防策略中各种上下文变量,社会人口统计学,SES和SC的必要性。改善部门间合作和政策制定者的态度是SA减少的必要条件。

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