Bracero Luis, Broce Mike, Kali Maher, Nguyen Michelle, Reyes Bernardo
Department of Obstetrics and Gynecology, Robert C. Byrd Health Science Center Charleston Division and Women & Children's Hospital, West Virginia University, Charleston, WV 25304, USA.
J Matern Fetal Neonatal Med. 2009 Apr;22(4):342-7. doi: 10.1080/14767050802663178.
To determine if missing paternal information in birth certificates is associated with an increased risk of low birth weight (LBW).
This was a retrospective single cohort analysis including all live births at our institution between April 1999 and May 2002. We created two study groups, one with father's information complete (FIC) and one with father's information missing (FIM). We utilised a three-tier approach (univariate analysis, multivariate analysis and propensity matching) to determine if FIM was related to LBW.
Univariate analysis showed a significant difference in LBW rates between the FIM and FIC groups (14.6 vs. 9.1%, p < 0.001). However, this difference was not observed in the multivariate (odds ratio = 1, p = 0.858, ns) or propensity matching analysis (13.9 vs. 13.8%, p = 0.954, ns).
After controlling for LBW risk factors, FIM was not an independent predictor of LBW.
确定出生证明中父亲信息缺失是否与低出生体重（LBW）风险增加相关。
这是一项回顾性单队列分析，纳入了1999年4月至2002年5月期间在我们机构出生的所有活产儿。我们创建了两个研究组，一组父亲信息完整（FIC），另一组父亲信息缺失（FIM）。我们采用了三层方法（单变量分析、多变量分析和倾向匹配）来确定FIM是否与LBW相关。
单变量分析显示FIM组和FIC组之间的LBW发生率存在显著差异（14.6%对9.1%，p<0.001）。然而，在多变量分析（比值比=1，p=0.858，无显著性差异）或倾向匹配分析（13.9%对13.8%，p=0.954，无显著性差异）中未观察到这种差异。
在控制LBW危险因素后，FIM不是LBW的独立预测因素。
