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首页> 外文期刊>BMJ Open >Neighbourhood environment factors and the occurrence of injuries in Canadian adolescents: a validation study and exploration of structural confounding
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Neighbourhood environment factors and the occurrence of injuries in Canadian adolescents: a validation study and exploration of structural confounding

机译:加拿大青少年的邻里环境因素和伤害发生:结构性混杂的验证研究和探索

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Objectives Social sorting mechanisms or analogous selection processes may impose confounding effects in the study of aetiological relationships. Such processes are referred to as structural confounding. If present, certain strata of social factors could hypothetically never be exposed to specific risk factors. This prohibits exchangeability across groups that is needed for meaningful causal inference. The objectives of this study were to: (1) develop and test the reliability and validity of composite scales for the measurement of social capital (SC), socioeconomic status (SES) and built environment (BE) and (2) to explore the possible roles of community level SC, SES and BE factors in studies of the aetiology of youth injury. Setting/participants A nationally representative sample of over 26?000 Canadian students aged 11–15?years. Measures/analysis Scales describing these key factors were developed and validated via exploratory and confirmatory factor analyses. We then used tabular analyses to explore structural confounding in our population. Results The proposed scales all demonstrated good psychometric properties. Despite variations in the number of adolescents across social and environmental strata, no evidence for the presence of structural confounding was detected in our data. Conclusions Relationships between social capital and the occurrence of injuries in Canadian youth aged 11–16 can potentially be studied without consideration of structural confounding biases. Canada is a suitable place to disentangle the effects of different neighbourhood social and environmental exposures on occurrence of injuries and other outcomes in adolescent populations. Exchangeability is possible across exposure strata and therefore a meaningful multilevel regression analysis is feasible. However, more studies are needed to test the consistency of our findings in other populations and for different outcomes.
机译:目的社会分类机制或类似选择过程可能会在病因关系研究中产生混淆作用。此类过程称为结构混杂。如果存在的话,那么某些社会因素分层可能永远不会暴露于特定的风险因素。这禁止了有意义的因果推断所需的跨组交换。这项研究的目的是:(1)制定和测试用于衡量社会资本(SC),社会经济地位(SES)和建筑环境(BE)的综合量表的可靠性和有效性,以及(2)探索可能的方法。社区层面的SC,SES和BE因素在青少年伤害病因学研究中的作用。参加者/参与者全国代表性的样本,涉及11至15岁的26 000多名加拿大学生。衡量/分析描述这些关键因素的量表是通过探索性和验证性因素分析制定并验证的。然后,我们使用表格分析来探索人口中的结构混杂。结果拟议的量表均显示出良好的心理计量特性。尽管社会和环境阶层的青少年数量有所不同,但在我们的数据中并未发现存在结构混杂的证据。结论在不考虑结构性混杂偏差的情况下,可以潜在地研究11-16岁加拿大青年中社会资本与伤害发生之间的关系。加拿大是一个合适的地方,可以消除不同邻里社会和环境暴露对青少年人群伤害发生和其他后果的影响。可以跨暴露层交换,因此有意义的多级回归分析是可行的。但是,需要更多的研究来检验我们在其他人群和不同结果中发现的一致性。

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