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低出生体重儿的母体危险因素:伊朗西部库尔德斯坦农村地区的巢式病例对照研究。

Maternal risk factors for low birth weight infants: A nested case-control study of rural areas in Kurdistan (western of Iran).

机构信息

Associate Professor Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.

Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.

出版信息

J Prev Med Hyg. 2021 Jul 30;62(2):E399-E406. doi: 10.15167/2421-4248/jpmh2021.62.2.1635. eCollection 2021 Jun.

Abstract

Infant mortality is among the most important indicators of health and development in global communities. One of the causes of neonatal mortality is low birth weight. This study aims at evaluating the risk factors for LBW in infants. This study was carried out using a nested case-control study in rural areas of Kurdistan province in Western Iran in 2015. The selection of case and control groups was based on the nesting using the risk set sampling approach. In total, 182 and 364 subjects were selected for the case group and the control group respectively. Data analysis was performed using the Stata-12 software with the point and spatial estimation of OR using the conditional logistic regression method. The multivariate logistic regression analysis performed shows that the maternal gestational age, the mother's health history during pregnancy, any medication abuses by the mother, any mental stress during pregnancy, are LBW risk factors (P < 0.05). Prevention of LBW is possible by identifying effective factors and performing appropriate interventions in infants with low birth weight.

摘要

婴儿死亡率是全球社区健康和发展的最重要指标之一。新生儿死亡的原因之一是低出生体重。本研究旨在评估婴儿低出生体重的危险因素。本研究于 2015 年在伊朗西部库尔德斯坦省农村地区采用巢式病例对照研究进行。病例组和对照组的选择基于风险集抽样方法的嵌套。总共为病例组和对照组分别选择了 182 名和 364 名受试者。使用 Stata-12 软件进行数据分析,采用条件逻辑回归法对 OR 进行点估计和空间估计。进行的多变量逻辑回归分析表明,母亲的孕龄、母亲怀孕期间的健康史、母亲滥用任何药物、母亲怀孕期间的任何精神压力是低出生体重的危险因素(P<0.05)。通过识别有效因素并对低出生体重婴儿进行适当干预,可以预防低出生体重。

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