Suppr超能文献

基于围生期风险的极低出生体重风险。

Risk of very low birth weight based on perinatal periods of risk.

机构信息

Epidemiology, Planning, and Communication, Tri-County Health Department, Greenwood Village, Colorado.

出版信息

Public Health Nurs. 2014 May-Jun;31(3):234-42. doi: 10.1111/phn.12062. Epub 2013 Jul 17.

Abstract

OBJECTIVE

To determine the risk factors associated with having a very low birth weight (VLBW) infant as a follow-up to the first phase of a Perinatal Periods of Risk approach.

DESIGN AND SAMPLE

Retrospective cohort analysis of birth certificates. Population-based sample of 53,427 birth certificates for the city under study during the years 1999-2006.

MEASURES

The relationship of selected maternal characteristics as predictors of VLBW using multivariate logistic regression analysis.

RESULTS

The maternal characteristics associated with VLBW were as follows: no prenatal care (OR = 4.04), inadequate weight gain (OR = 3.97), Black, non-Hispanic race (OR = 1.50), less than 20 years old (OR = 1.42) and more than 35 years old (OR = 1.43). After analyzing age and race/ethnicity together, Black non-Hispanic women less than 20 years of age (OR = 2.70) or over 35 years of age (OR = 2.45) still had an increased odds for having a VLBW infant whereas Black non-Hispanic women between the ages of 20 and 35 did not.

CONCLUSIONS

The findings of this study suggest educating women on the importance of preconception care, prenatal care, and adequate pregnancy weight gain to reduce the odds of having a VLBW infant.

摘要

目的

确定与极低出生体重(VLBW)婴儿相关的风险因素,这是围产期风险方法第一阶段的后续研究。

设计和样本

出生证明的回顾性队列分析。以研究期间 1999-2006 年的城市为基础,对 53427 份出生证明进行了基于人群的抽样。

措施

使用多变量逻辑回归分析,将选定的母亲特征作为 VLBW 的预测因子进行关联。

结果

与 VLBW 相关的母亲特征如下:无产前保健(OR=4.04)、体重增加不足(OR=3.97)、黑人,非西班牙裔(OR=1.50)、年龄小于 20 岁(OR=1.42)和年龄大于 35 岁(OR=1.43)。在分析年龄和种族/民族后,黑人,非西班牙裔小于 20 岁(OR=2.70)或大于 35 岁(OR=2.45)的女性仍然有更高的 VLBW 婴儿出生几率,而 20 至 35 岁之间的黑人非西班牙裔女性则没有。

结论

这项研究的结果表明,教育妇女重视孕前保健、产前保健和适当的妊娠体重增加,以降低 VLBW 婴儿的出生几率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验