2016
DOI: 10.1038/srep38659
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Gestational age-dependency of height and body mass index trajectories during the first 3 years in Japanese small-for-gestational age children

Abstract: Gestational age (GA) is thought to affect height growth in small-for-gestational age (SGA) children. However, the GA-specific trajectories in body mass index (BMI) and early appearances of adiposity rebound (AR) have not been fully investigated in a cohort of Japanese SGA children. A longitudinal cohort study was conducted with 1063 SGA children born in Kobe, Japan, with sufficient records from birth to 3 years of age. Subjects were divided into subgroups based on GA: 39–41 weeks GA (n = 723), 37–38 weeks GA (… Show more

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Cited by 24 publications
(38 citation statements)
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References 25 publications
(49 reference statements)
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“…Moreover, metabolic syndrome including type 2 diabetes mellitus and cardiovascular disease were reported to be associated with SGA subjects in adulthood 17 19 . Thus, SGA infants faced long-term disadvantages and were at high metabolic risk 3 , 20 . Despite these findings indicating a relationship between SGA and metabolic risks, the underlying mechanism remains largely unknown 21 .…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, metabolic syndrome including type 2 diabetes mellitus and cardiovascular disease were reported to be associated with SGA subjects in adulthood 17 19 . Thus, SGA infants faced long-term disadvantages and were at high metabolic risk 3 , 20 . Despite these findings indicating a relationship between SGA and metabolic risks, the underlying mechanism remains largely unknown 21 .…”
Section: Introductionmentioning
confidence: 99%
“…Second, the number of subjects in the LBW and VLBW groups was small, relative to those in the non-LBW group in this study; therefore, this may attenuate the differences in AR timing. Third, gestational age is also an important factor for catch-up growth with a boundary of 37 weeks gestational age [10], but data of gestational period was unavailable in this study.…”
Section: Discussionmentioning
confidence: 89%
“…The best way is to trace an individual's adiposity plot through visual inspection [2,35]; however, most often, there is insufficient frequency of measured data to allow the use of this method. To compensate for this problem, various statistical approaches [5,7,[35][36][37] or the researchers' own definitions [10,27,38] were used. Second, definitions of early AR also varied according to literatures.…”
Section: Discussionmentioning
confidence: 99%
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