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ORIGINAL ARTICLE
Year : 2017  |  Volume : 22  |  Issue : 1  |  Page : 60

Modeling birth weight neonates and associated factors


1 Department of Biostatistics, Fertility and Infertility Research Center, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
2 Students Research Committee, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3 Department of Biostatistics, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran
4 Department of Biostatistics, Health Related Environmental Factors Research Center, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
5 Department of Foreign Language, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran

Correspondence Address:
Aazm Jahangirimehr
Department of Biostatistics, Faculty of Health, Kermanshah University of Medical Sciences, Kermanshah
Iran
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jrms.JRMS_771_16

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Background: Neonate with abnormal weight is at risk of increased mortality and morbidity. Many factors affect pregnancy outcome. Because of the importance and vital role in birth weight, in this study, some of the factors associated with birth weight in a sample of Iranians neonates were investigated. Materials and Methods: In this cross-sectional study, 245 newborns in a sample of Iranians neonates in the year 2013 were selected, and characteristics of neonate and their mothers were derived. Birth weights were registered by the neonatal scale. To identify the direct and indirect factors affecting birth weight, we used path analysis (PA) and IBM AMOS and SPSS software. Results: The mean ± standard deviation of weight in girls (3200 ± 421) g less than boys (3310 ± 444) g significantly (P = 0.04). Gestational age (P < 0.001), birth rank (P = 0.012), distance from a previous pregnancy (P = 0.028), and mother weight (P = 0.04) had a statistical significant relationship with birth weight. In the final PA model, gestational age has a highest total effect, type of delivery with gestational age-mediated had the highest indirect effect and type of delivery, and gestational age had the greatest total impact on the birth weight. Conclusion: Gestational age, sex, distance from a previous pregnancy, maternal weight, type of delivery, number of abortion, and birth rank were related with birth weight. Due to the termination of pregnancy and avoid unnecessary deliveries through cesarean section and other related factors should be further consideration by childbirth experts. In addition, factors affecting these variables are carefully identified and prevented as much as possible.


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