ArticleBMC pregnancy and childbirth2015
Screening high-risk clusters for developing birth defects in mothers in Shanxi Province, China: application of latent class cluster analysis.
Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Screening high-risk population of persistent postpartum hypertension in women with preeclampsia using latent class cluster analysis.BMC pregnancy and childbirth · 2022Article
- Relationship between Eating Habits, Physical Activity and Tobacco and Alcohol Use in Pregnant Women: Sociodemographic Inequalities.Nutrients · 2022Article
- Target areas to reduce the burden of maternal death due to obstetric hemorrhage in Ethiopia.PloS one · 2022Article
- Observational
- Comparison of Self-Rated Health among Characteristic Groups of Vegetable Greenhouse Farmers Based on Exposure to Pesticide Residuals: A Latent Profile Analysis.BioMed research international · 2019Article
- Using latent class cluster analysis to screen high risk clusters of birth defects between 2009 and 2013 in Northwest China.Scientific reports · 2017Article
- Article
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8 authors.
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Abstract
backgroundFew studies on cluster-based synthetic effects of multiple risk factors for birth defects have been reported. The present study aimed to identify maternal exposure clusters, explore the association between clusters of risk factors and birth defects, and further screen women with high risk for birth defects among expectant mothers.
methodsData were drawn from a large-scale, retrospective epidemiological survey of birth defects from 2006 to 2008 in six counties of Shanxi Province, China, using a three-level stratified random cluster sampling technique. Overall risk factors were extracted using eight synthetic variables summed and examined as a total risk factor score: maternal delivery age, genetic factors, medical history, nutrition and folic acid deficiency, maternal illness in pregnancy, drug use in pregnancy, environmental risk factors in pregnancy, and unhealthy maternal lifestyle in pregnancy. Latent class cluster analysis was used to identify maternal exposure clusters based on these synthetic variables. Adjusted odds ratios (AOR) were used to explore associations between clusters and birth defects, after adjusting for confounding variables using logistic regression.
resultsThree latent maternal exposure clusters were identified: a high-risk (6.15%), a moderate-risk (22.39%), and a low-risk (71.46%) cluster. The prevalence of birth defects was 14.08%, 0.85%, and 0.52% for the high-, middle- and low-risk clusters respectively. After adjusting for maternal demographic variables, women in the high-risk cluster were nearly 31 times (AOR: 30.61, 95% CI: [24.87, 37.67]) more likely to have an infant with birth defects than low-risk women.
conclusionsA high-risk group of mothers in an area with a high risk for birth defects were screened in our study. Targeted interventions should be conducted with women of reproductive age to improve neonatal birth outcomes in areas with a high risk of birth defects.
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