Mansourian Marjan, Mohammadi Raziyeh, Marateb Hamid Reza, Yazdani Akram, Goodarzi-Khoigani Masoomeh, Molavi Sajedeh
Department of Biostatistics and Epidemiology, Health School, Isfahan University of Medical Sciences, Isfahan, Iran.
Department of Mathematical Sciences, Isfahan University of Technology, Isfahan, Iran.
J Res Med Sci. 2017 Sep 26;22:107. doi: 10.4103/jrms.JRMS_926_16. eCollection 2017.
In this study, we aimed to determine comprehensive maternal characteristics associated with birth weight using Bayesian modeling.
A 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.
There 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.
Higher 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.
在本研究中，我们旨在使用贝叶斯模型确定与出生体重相关的综合母体特征。
本前瞻性研究共纳入526名参与者。营养状况、孕期补充剂的摄入、人口统计学和社会经济特征、人体测量指标、身体活动以及妊娠结局被视为对出生体重有影响的变量。考虑到响应变量的实际分布，使用马尔可夫链蒙特卡罗方法的复杂统计模型的贝叶斯方法对数据进行建模。
根据贝叶斯模型中参数的95%高后验密度区域，婴儿出生体重与母体摄入的维生素C、叶酸、维生素B3、维生素A、硒、钙、铁、磷、钾、镁等微量营养素以及纤维和蛋白质等宏量营养素之间存在强正相关。母体特征与出生体重均无统计学关联。
孕期母体较高的宏量和微量营养素摄入量与分娩低体重儿的风险较低相关。这些发现支持了将孕期营养素摄入量提高到高水平的建议。
