Logistic regression analysis of fetal malnutrition and its affected factors
10.3969/j.issn.1005-2224.2001.01.011
- VernacularTitle:胎儿营养不良及其影响因素的非条件Logistic回归分析
- Author:
Younan LIU
;
Qiming FENG
;
Yi LIU
- Publication Type:Journal Article
- From:
Chinese Journal of Practical Pediatrics
2001;(1):23-24
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the incidence of fetal malnutrition( FM), its affected factors and their relationship with small - for gestational - age (SGA) fetus. Methods The intrauterinal growth of fetus was evaluated by the body weight of neonates and FM was detected by clinical assessment of nutritional status ( CANS ). Results ①33 out of 204 cases were found to be FM (16% ). FM in SGA group was significantly higher than that in AGA group ( 5.9% ) (x2 = 69.9, P ＜ 0. 01 ).② When ot = 0. 05, the body weight and head circumference of neonates, the education level of mothers were included into logistic regression model, and their regression coefficient were negative. Conclusion SGA was supposed to be two of the risk factors in developing FM. Fetus with low body weight, small head circumference and not - so - well educated mother were prone to suffer from FM.
