Population attributable danger of hereditary heart breaks. Risk factors among newborns in Yazd, Iran.

Autor: Taheri, M., Dehghani, A., Noorishadkam, M., Tabatabaei, S. M.
Předmět:
Zdroj: Journal of Medicine & Life; 2015 Spec Iss 3, Vol. 8, p212-217, 6p
Abstrakt: Background: hereditary heart problem are cardiac problems that develop prior to birth and influence the newborns' basic performance of heart. Different kinds of deficiency can range from mild (e.g. a small hole between the heart chambers) to severe (like a flaw or weakness into a heart part). Material & Method: This case-control research performed to evaluate PAR congenital heart defects danger parameters between newborns from 2012 to 2013 in Yazd hospitals. The defects were identified through echocardiography and recorded based on the 10th Revision of Diseases International Classification (DIC10). The total amount of cases were 96, of whom 14 were excluded regarding that the shortage of cooperation or insufficient data. One hundred and sixty five sex and region matched controls selected through random sampling involved in the research. Population Attributable Risk(PAR) utilized to evaluate and measure the priorities of the danger parameters. Finally, the Levin formula utilized to evaluate the regulate community ascribable portion. Result: Regulated odds rates evaluated for the danger parameters. The outcomes revealed that the greatest odds ratio belonged to the maternal history of stillbirth, lack of multivitamin use before pregnancy, maternal obesity, and overweight. The calculation of the adjusted Population Attributable Fraction in risk factors indicated that the highest fraction of the causes of natural heart malformations was associated with overweight and obesity. Conclusion: The current research showed that several factors that can impact the congenital heart defects. It concluded that although overweight and obesity had a weaker association than the other 2 parameters, they have a higher prevalence and a greater attributable risk. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index