title: [An epidemiological survey follow-up study on infant breast-feeding. III. Multiple stepwise regression analysis to factors affecting human milk amount].
abstract: This paper reports the result of multiple regression analysis to factors affecting human milk amount. By using survey follow-up study method, the data were obtained from 461 mothers who breast-fed their infants within six months after delivery. According to the results of stepwise regression, factors including the number of breast-feeding per day after one month post-partum, the number of breast-feeding per day within one month post-partum, breast-feeding infant regularly, menstruation recovery late are related to the amount of breast milk positively (increasing human milk amount), and factors including maternal poor appetite in lactation period, family deficient breast milk history, infant poor development, maternal disease in pregnancy and lactation period, contraceptive agents used, sunk or sore nipples are related to the amount of breast milk negatively (decreasing human milk amount). Because there are a lot of factors can affect human milk amount, it coincides with practical situation that multiple analysis is used to analysis these factors. It is also an attempt to use this method in mother and infant health care field.
authors: S G
authors: SG
authors: Han
mesh_terms: D001942:Breast Feeding; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007774:Lactation; D008838:Microcomputers; D008895:Milk, Human / Q000378:metabolism*; D012044:Regression Analysis