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Combining individual and ecological data to determine compositional and contextual socio-economic risk factors for suicide.

机译:结合个人和生态数据来确定自杀的构成和背景社会经济风险因素。

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摘要

The social and economic characteristics of geographic areas are associated with their suicide rates. The extent to which these ecological associations are due to the characteristics of the people living in the areas (compositional effects) or the influence of the areas themselves on risk (contextual effects) is uncertain. Denmark's Medical Register on Vital Statistics and its Integrated Database for Longitudinal Labour Market Research were used to identify suicides and 20 matched controls per case in 25-60-year-old men and women between 1982 and 1997. Individual and area (municipality) measures of income, marital and employment status were obtained. There were 9011 suicides and 180,220 controls. Individual-level associations with these risk factors were little changed when controlling for contextual effects. In contrast, ecological associations of increased suicide risk with declining area levels of employment and income and increasing proportions of people living alone were much attenuated after controlling for compositional effects. We found no consistent evidence that associations with individual-level risk factors differed depending on the areas' characteristics (cross-level interactions). This analysis suggests the ecological associations to be attributed to characteristics of the residents rather than area influences on risk.
机译:地理区域的社会和经济特征与其自杀率相关。这些生态联系的程度是由于居住在该地区的人们的特征(构成影响)或该区域本身对风险的影响(关联影响)所致。丹麦的生命统计医学登记册及其纵向劳动力市场研究综合数据库用于鉴定1982年至1997年间25-60岁的男性和女性的自杀情况和20个匹配的对照病例。个体和地区(市镇)措施获得了收入,婚姻和就业状况。有9011例自杀和180,220例对照。当控制情境效果时,与这些危险因素的个体水平关联几乎不变。相反,控制组成效应后,自杀风险增加,地区就业和收入水平下降以及独居人口比例增加的生态联系被大大削弱。我们没有发现一致的证据表明,根据地区的特征(跨层次的相互作用),与个人风险因素的关联有所不同。该分析表明,生态联系应归因于居民的特征,而不是区域对风险的影响。

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