Bonander Carl, Jernbro Carolina
Centre for Public Safety, Karlstad University, Sweden; Department of Environmental and Life Sciences, Karlstad University, Sweden.
Centre for Public Safety, Karlstad University, Sweden; Department Health Sciences, Karlstad University, Sweden.
Accid Anal Prev. 2017 Sep;106:109-114. doi: 10.1016/j.aap.2017.06.001. Epub 2017 Jun 8.
In this paper, we test for gender differences in the effects of intellectual ability on accidental injury risks using longitudinal data from the 1953 Stockholm Birth Cohort study (n=14,294). Intellectual ability was measured using IQ tests issued during a school survey at age ∼13, and outcome and covariate data was collected via record linkage to population and health registers, following the cohort from childhood to 55 years of age. We used ICD codes to identify accidental injuries resulting in hospital admissions and deaths, and shared frailty models to quantify the effects of IQ, while allowing for within-individual dependencies and recurrent events. The models included tests for the moderating effects of gender, as well as childhood family variables (parental socioeconomic status), and cohort member mediators (highest achieved education, socioeconomic status and income at the time of the event). The results indicate an inverse association between childhood IQ and subsequent accidental injury events, where 1 SD decrease in IQ implies a 17.8% increase in injury risk. We also found evidence that gender moderates this relationship, where the effect size was twice as large for men than for women (21.8% vs 9.3% per 1 SD decrease). Adult socioeconomic status can explain roughly half of the observed association. Potential explanations for these results are discussed.
在本文中,我们利用1953年斯德哥尔摩出生队列研究(n = 14294)的纵向数据,检验智力对意外伤害风险影响中的性别差异。智力通过在约13岁时学校调查中发放的智商测试来衡量,结果和协变量数据通过与人口和健康登记册的记录链接收集,追踪该队列从童年到55岁的情况。我们使用国际疾病分类代码来识别导致住院和死亡的意外伤害,并使用共享脆弱模型来量化智商的影响,同时考虑个体内部的相关性和复发事件。模型包括对性别调节作用、童年家庭变量(父母社会经济地位)以及队列成员中介因素(事件发生时所达到的最高教育水平、社会经济地位和收入)的检验。结果表明童年智商与随后的意外伤害事件之间存在负相关,智商每降低1个标准差意味着受伤风险增加17.8%。我们还发现有证据表明性别调节了这种关系,每降低1个标准差,男性的效应大小是女性的两倍(分别为21.8%和9.3%)。成人社会经济地位大约可以解释所观察到的关联的一半。本文讨论了这些结果的潜在解释。