Hunter Kennith G, Taslimi M Mark
Health Management Corporation, USA.
J Health Hum Serv Adm. 2008 Fall;31(2):198-222.
This paper seeks to determine the relative effect of socioeconomic variables and medical conditions in explaining changes in infant birth weight, specifically, low birth weight (LBW). Using ordinary least squares regression, we first analyze the effects of these variables on the birth weight of 621 infants. Four of the independent variables--gestational age in number of days, sex, parity, and health insurance--are statistically significant (P<.05) and explain 64 percent of the variation in infant birth weight. But in a subset of 18 infants born with LBW to mothers < or = 18 years of age or 35 > or = years of age, only gestational age in number of days is statistically significant.
本文旨在确定社会经济变量和医疗状况在解释婴儿出生体重变化，特别是低出生体重（LBW）变化方面的相对影响。我们使用普通最小二乘法回归，首先分析这些变量对621名婴儿出生体重的影响。四个自变量——以天数计算的胎龄、性别、产次和医疗保险——具有统计学意义（P<.05），并解释了婴儿出生体重变化的64%。但在18名母亲年龄小于或等于18岁或大于或等于35岁的低出生体重婴儿子集中，只有以天数计算的胎龄具有统计学意义。
