Klug Marilyn G, Burd Larry, Kerbeshian Jacob, Benz Becky, Martsolf John T
North Dakota Fetal Alcohol Syndrome Center, School of Medicine and Health Sciences, University of North Dakota, Box 9037, 501 N. Columbia Road, Grand Forks, ND 58202-9037, USA.
Neurotoxicol Teratol. 2003 Nov-Dec;25(6):707-17. doi: 10.1016/j.ntt.2003.07.018.
The prevalence and magnitude of effect of individual risk markers for specific developmental disorders vary widely across diagnostic category. The four study cohorts for this project were patients from four diagnostic registries in North Dakota for fetal alcohol syndrome (FAS), autism, sudden infant death syndrome (SIDS), and Tourette syndrome. These four cohorts were used to estimate prevalence and magnitude of effect of parental risk markers in patients with developmental disabilities. Cases with North Dakota birth certificates were matched with controls. Using birth certificate data, we then examined five parental risk markers for each cohort and estimated direct and indirect effects for each risk marker by cohort. The authors found two significant paternal risk markers (age in SIDS and education in FAS). Significant maternal markers were age in SIDS, education in FAS, autism, and SIDS. Marital status was a significant risk marker in FAS. Effect sizes were estimated using paired t tests, odds ratios, and population attributable risk (PAR) for both direct and indirect effects for each marker. We estimated both direct and indirect effects to allow for direct comparisons of the differential effect estimates of each of these markers. The direct effect of parental markers differs across diagnostic cohorts of patients. Use of cohorts from similar denominator populations obtained from prevalence studies is a useful methodological tool for estimating the prevalence and magnitude of effect of risk markers.
特定发育障碍的个体风险标志物的患病率及影响程度在不同诊断类别中差异很大。该项目的四个研究队列是来自北达科他州四个诊断登记处的胎儿酒精综合征(FAS)、自闭症、婴儿猝死综合征(SIDS)和抽动秽语综合征患者。这四个队列用于估计发育障碍患者中父母风险标志物的患病率及影响程度。有北达科他州出生证明的病例与对照进行匹配。然后,利用出生证明数据,我们检查了每个队列的五个父母风险标志物,并按队列估计每个风险标志物的直接和间接影响。作者发现了两个显著的父亲风险标志物(SIDS中的年龄和FAS中的教育程度)。显著的母亲标志物是SIDS中的年龄、FAS中的教育程度、自闭症和SIDS。婚姻状况是FAS中的一个显著风险标志物。使用配对t检验、优势比和人群归因风险(PAR)估计每个标志物直接和间接影响的效应大小。我们估计了直接和间接影响,以便对这些标志物的差异效应估计进行直接比较。父母标志物的直接影响在不同诊断队列的患者中有所不同。使用来自患病率研究的相似分母人群的队列是估计风险标志物患病率及影响程度的一种有用的方法工具。