Latent Class Analysis of Low Birth Weight and Preterm Delivery among Australian Women
Latent Class Analysis of Low Birth Weight and Preterm Delivery among Australian Women
复制标题
DOI：
10.1016/j.jpeds.2019.11.007
复制
发表时间：
2020-03-01
影响因子：
5.1
通讯作者：
Byles, Julie E.
中科院分区：
文献类型：
--
作者：
Hendryx, Michael;Chojenta, Catherine;Byles, Julie E.
目的确定可能与低出生体重分娩或早产相关的健康、社会经济、行为和心理社会指标的模式。研究设计数据来自澳大利亚妇女健康纵向研究。在3801名妇女中，共有9075名独生子女的存活与国家围产期记录和出生结果数据有关。利用调查数据确定11个指标进行潜伏级分析。潜伏期班级被测试与出生结局的关联。结果潜伏期分析分为5个类别，包括低文化程度、近期吸毒、压力/焦虑/抑郁、吸烟/饮酒/低文化程度/多风险组和低危参照组。压力/焦虑/抑郁类别与早产有关(OR 1.87，95%CI 1.20~2.92)，吸烟/饮酒/低教育程度/多风险类别与低出生体重相关(OR 1.54，95%CI 1.02~2.30)。传统的主效应Logistic回归分析确定了潜类没有捕捉到的一些指标，潜类识别了主效应分析没有捕捉到的变量组合。结论独特的潜类与早产和低出生体重相关。潜在类别分析和主效应分析可以结合起来，以提高对出生结局风险的理解。降低低出生体重和早产风险的临床和方案干预措施可能受益于妇女经历的风险概况。
Objectives To identify patterns of health, socioeconomic, behavioral, and psychosocial indicators that may be associated with low birth weight delivery or preterm birth.Study design Data were analyzed from the Australian Longitudinal Study on Women's Health. A total of 9075 live singleton births among 3801 women were linked to state perinatal records with birth outcome data. Survey data were used to identify 11 indicators for latent class analysis. Latent classes were tested for association to birth outcomes. These indicators also were used along with covariates in main effect multiple logistic regression analyses of birth outcomes.Results Latent class analysis revealed 5 classes, including those characterized by low education, recent drug use, stress/anxiety/depression, smoking/drinking/low education/multi-risk, and a low risk referent group. The stress/ anxiety/depression class was associated with preterm delivery (OR 1.87, 95% CI 1.20-2.92), and the smoking/ drinking/low education/multirisk class was associated with low birth weight (OR 1.54, 95% CI 1.02-2.30). Traditional logistic regression analyses for main effects identified some measures not captured by the latent classes, and the latent classes identified variable combinations not captured by the main effect analysis.Conclusions Unique latent classes were associated with preterm delivery vs low birth weight. Both latent class analysis and main effects analyses may be combined to improve understanding of birth outcome risks. Clinical and programmatic interventions to reduce risks of low birth weight and preterm delivery may benefit from risk profiles that women experience.