論文

査読有り 筆頭著者 責任著者 国際誌
2014年2月

The relationship between twin language, twins' close ties, and social competence.

Twin research and human genetics : the official journal of the International Society for Twin Studies
  • Chisato Hayashi
  • ,
  • Hiroshi Mikami
  • ,
  • Reiko Nishihara
  • ,
  • Chiho Maeda
  • ,
  • Kazuo Hayakawa

17
1
開始ページ
27
終了ページ
37
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1017/thg.2013.83
出版者・発行元
CAMBRIDGE UNIV PRESS

This study investigated the relationship between twin language, twins' close ties, and social competence in a prospective longitudinal study. We hypothesized that twins whose tie is close would be more likely to develop a twin language, and these twins would be less likely to develop social competence. In addition, we hypothesize that some environmental factors, such as having an older sibling, preschool attendance, zygosity, and sex are also related to twin language, twins' close ties, and social competence. At baseline in 1999 a mailed questionnaire survey was conducted, and a follow-up questionnaire was distributed in 2004 among 958 mothers. As a result, 516 respondents returned the questionnaire (53.9%). In this study, we used 261 twin pairs aged from 6 to 12 years (school-age children) for analysis, excluding those with missing values. In the present study, we found that zygosity and sex were associated with twins' close ties. Having an older sibling and preschool attendance did not affect the twins' close tie, twin language, or social competence. One of the most important findings was that social competence was not affected directly by twins' close tie, but was affected when a twin language was found.

リンク情報
DOI
https://doi.org/10.1017/thg.2013.83
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24330841
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000331900800005&DestApp=WOS_CPL
ID情報
  • DOI : 10.1017/thg.2013.83
  • ISSN : 1832-4274
  • eISSN : 1839-2628
  • PubMed ID : 24330841
  • Web of Science ID : WOS:000331900800005

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