目標:本研究旨在以分量迥歸探討產婦個人特質與妊娠狀況對新生兒體重的影響。方法:研究資料為民國90年的出生證明檔與戶籍檔的串連。樣本的選取條件是:單胞胎、出生體重介於500~4800公克、妊娠週數介於20~42週、母親年齡介於10~50歲。以分量迥歸進行分析,並與最小平方法的結果相比較。結果:在控制母親妊娠週數之下,母親教育程度與婚姻狀況在每個分量下皆為不顯著的影響因素,母親年齡、病史、妊娠週數、新生兒性別則在每個分量下皆為顯著的因素。結論:當新生兒體重較高時,最小平方法可能會低估母親年齡、病史、新生兒性別的影響;當新生兒體重較低時,最小平方法則可能會高估這些因素的影響。
Objective: To evaluate the effects of maternal characteristics and pregnancy status on birth weights. Methods: A merged file of birth certificates and household registration for 2001 in Taiwan was used. Samples with singleton births, birth weight between 500-4800 g, gestational age between 20-42 weeks, and maternal age between 10-50 years were included in the analysis. A quantile regression based on Koenker and Bassett (1978) was employed; the results were compared with those obtained by OLS. Results: After adjustment for confounding variables, gestational age, maternal education, and marital status were not significantly correlated with birth weight at any quantile. However, maternal age, maternal medical history, gestational age, and newborn sex were significantly correlated with birth weight at every quantile. Conclusions: When birth weight is expected to be high, OLS is likely to underestimate the impact of maternal age, maternal medical history, and newborn sex, but when birth weight is expected to be low, OLS is likely to overestimate the impact of these factors.