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Identifying a risk score for childhood obesity based on predictors identified in pregnant women and 1-year-old infants: An analysis of the data of the Hokkaido Study on Environment and Children's Health

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Title: Identifying a risk score for childhood obesity based on predictors identified in pregnant women and 1-year-old infants: An analysis of the data of the Hokkaido Study on Environment and Children's Health
Authors: Saijo, Yasuaki Browse this author →KAKEN DB
Ito, Yoshiya Browse this author →KAKEN DB
Yoshioka, Eiji Browse this author →KAKEN DB
Sato, Yukihiro Browse this author
Minatoya, Machiko Browse this author →KAKEN DB
Araki, Atsuko Browse this author →KAKEN DB
Miyashita, Chihiro Browse this author →KAKEN DB
Kishi, Reiko Browse this author →KAKEN DB
Keywords: childhood
obesity
risk score
pregnancy
body mass index
Issue Date: 20-Aug-2019
Publisher: Japanese society for pediatric endocrinology
Journal Title: Clinical pediatric endocrinology
Volume: 28
Issue: 3
Start Page: 81
End Page: 89
Publisher DOI: 10.1297/cpe.28.81
Abstract: This study aimed to construct a childhood obesity risk index based on predictors identified in pregnant women and 1-yr-old infants. The primary outcome was an identified obesity index of > 20% at 6-8 yr of age. Of a total sample size of 6,846 mother-child pairs, 80% and 20% were randomly allocated to the derivation and validation cohorts, respectively. For the derivation cohort, univariate and multivariate logistic regression analyses of data were conducted to identify the final predictors to determine the childhood obesity risk score algorithm. These included pre-pregnancy body mass index (BMI), child's gender, smoking during pregnancy, education, and obesity index at one yr of age. The beta coefficients for categories of predictor variables were each divided by the smallest value among them. The quotient was rounded off to the integer and assigned to the risk score, and a value of zero was assigned to reference categories. A total risk score was calculated for each individual. A cutoff point >= 16 had 22.2% and 21.8% positive predictive values in the derivation and validation cohorts, respectively. In conclusion, the childhood obesity risk score algorithm was constructed based on generic predictors that can be easily obtained from maternal and child health handbooks.
Rights: http://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article
URI: http://hdl.handle.net/2115/75260
Appears in Collections:環境健康科学研究教育センター (Center for Environmental and Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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