論文

査読有り
2013年7月

Association of Birth Length and Risk of Hospitalisation among Full-term Babies in Japan

PAEDIATRIC AND PERINATAL EPIDEMIOLOGY
  • Tsuguhiko Kato
  • ,
  • Takashi Yorifuji
  • ,
  • Sachiko Inoue
  • ,
  • Hiroyuki Doi
  • ,
  • Ichiro Kawachi

27
4
開始ページ
361
終了ページ
370
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/ppe.12062
出版者・発行元
WILEY-BLACKWELL

Background Barker's fetal programming hypothesis suggests that disproportionate size at birth may have a lifelong impact on one's health. However, the literature on birth length is considerably more sparse compared with birthweight. We, therefore, examined the relationship between birth length and hospitalisation early in life among Japanese children. Methods We used the nationwide Longitudinal Survey of Babies in 21st Century and restricted the study subjects to full-term singleton babies (n=44057). We estimated the effects of birth length and birthweight on the risk of hospitalisation using log linear regression models. We controlled for a set of neonatal and maternal factors. Results Birth length was associated with the chance of hospitalisation due to all causes between 6 and 18 months of age. In addition, the association was stronger than that with birthweight. Adjusted risk ratios showed that the relationship between birth length and hospitalisation was U-shaped: 1.16 [95% confidence intervals, 1.08, 1.25] at 30-48cm, 1 [Reference] at 49cm, 1.13 [1.04, 1.22] at 50cm, and 1.11 [1.02, 1.20] at 51-60cm. Short babies with low or high weight, as well as long babies with low weight, seem to be at increased risk of hospitalisation. Conclusions We found a U-shaped relationship between birth length and risk of hospitalisation due to all causes during the period from 6 to 18 months.

リンク情報
DOI
https://doi.org/10.1111/ppe.12062
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000320474700007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/ppe.12062
  • ISSN : 0269-5022
  • Web of Science ID : WOS:000320474700007

エクスポート
BibTeX RIS