Volume 21, Issue 86 (Feb 2012)                   J Mazandaran Univ Med Sci 2012, 21(86): 108-114 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Khalilian A, Hamta A, Farhadi R, Ranjbaran H. Investigation factors of Low Birth Weight infants with Structural Equation Model Approach. J Mazandaran Univ Med Sci 2012; 21 (86) :108-114
URL: http://jmums.mazums.ac.ir/article-1-858-en.html
Abstract:   (15911 Views)
Background and purpose: Since Low birth weight (LBW) is significantly related to infant mortality and it is one of the most important health indices at birth, this study was conducted to determine the most important factors affecting the low birth weight and their direct and indirect effects on response variable. Materials and methods: To accomplish this analytical cross-sectional study, a checklist containing mother and infant’s demographic and pregnancy information was employed. Those with the weight of less than 2500g were considered as LBW infants. The information related to the next infant born with normal weight was also recorded. Overall, 466 pieces of information related to mothers and infants were recorded. Then, probable causal paths were theoretically drawn and path coefficients were calculated by LISREL 8.8. Results: Path analysis revealed that the most effective factor on LBW was preterm delivery. The chance of LBW would incredibly increase with the occurrence of preterm delivery. The second important factor was pregnancy age and its negative path coefficient showed that the chance of LBW decreased with increase in the pregnancy age. Conclusion: LBW chance can be controlled by accurate controlling of pregnancy and prevention of unnecessary pregnancy termination.
Full-Text [PDF 762 kb]   (3329 Downloads)    
Type of Study: Research(Original) |

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Mazandaran University of Medical Sciences

Designed & Developed by : Yektaweb