ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2017
Comprehensive maternal characteristics associated with birth weight: Bayesian modeling in a prospective cohort study from Iran.
Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Impact of Prenatal Nutrition Interventions on Infant Longitudinal Growth: A Secondary Analysis of the Mumta Pregnant Women Trial in Pakistan.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026Article
- The effect of Internet-based nutrition education according to Pender's health promotion model on gestational weight gain: Study protocol for a randomized controlled clinical trial.Journal of education and health promotion · 2024Article
- Dietary total antioxidant capacity during pregnancy and birth outcomes.European journal of nutrition · 2021Article
- Dental caries and associated factors in 3 to 5-year-old children in Zhejiang Province, China: an epidemiological survey.BMC oral health · 2019Article
- Exercise in Pregnancy and Children's Cardiometabolic Risk Factors: a Systematic Review and Meta-Analysis.Sports medicine - open · 2018Review
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Authors and funding
6 authors.
Funding
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Abstract
backgroundIn this study, we aimed to determine comprehensive maternal characteristics associated with birth weight using Bayesian modeling. MATERIALS AND
methodsA total of 526 participants were included in this prospective study. Nutritional status, supplement consumption during the pregnancy, demographic and socioeconomic characteristics, anthropometric measures, physical activity, and pregnancy outcomes were considered as effective variables on the birth weight. Bayesian approach of complex statistical models using Markov chain Monte Carlo approach was used for modeling the data considering the real distribution of the response variable.
resultsThere was strong positive correlation between infant birth weight and the maternal intake of Vitamin C, folic acid, Vitamin B3, Vitamin A, selenium, calcium, iron, phosphorus, potassium, magnesium as micronutrients, and fiber and protein as macronutrients based on the 95% high posterior density regions for parameters in the Bayesian model. None of the maternal characteristics had statistical association with birth weight.
conclusionHigher maternal macro- and micro-nutrient intake during pregnancy was associated with a lower risk of delivering low birth weight infants. These findings support recommendations to expand intake of nutrients during pregnancy to high level.
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