{"title":"Parental axial lengths and prenatal conditions related to child axial length: The TMM BirThree Cohort Study","authors":"Mami Ishikuro , Nobuo Fuse , Taku Obara , Aoi Noda , Genki Shinoda , Masatsugu Orui , Akira Uruno , Sayaka Yoshida , Naoko Takada , Shunsuke Fujioka , Takayuki Nishimura , Akiko Hanyuda , Ryo Kawasaki , Toru Nakazawa , Shinichi Kuriyama","doi":"10.1016/j.ajoint.2024.100088","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>We investigated the association between actual parental axial length, prenatal conditions, and the axial length in preschool children.</div></div><div><h3>Design</h3><div>Cohort study</div></div><div><h3>Methods</h3><div>This study included 1,819 children (mean age: 4.2 ± 0.4 years, 50.1% girls) and their parents enrolled in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. Axial length was measured using OA-1000 Optical Biometer. A marginal model with generalized estimating equations was used for association analysis. Variables included the child's age, sex, height at the second wave, prenatal conditions (large for gestational age [LGA], resuscitation, acidosis, small placenta at birth, multiple pregnancies, maternal hypertensive disorders of pregnancy), parental age, and the mean axial length of both parents’ eyes at the second wave. Path analysis was performed to investigate the relationships among the variables.</div></div><div><h3>Results</h3><div>Axial length was shorter in girls than in boys (regression coefficient (β) [95% confidence interval] -0.52 [-0.57, -0.47]). Age and height were associated with longer axial lengths (0.10 [0.022, 0.18] and 0.025 [0.019, 0.031], respectively). Parental axial lengths were positively associated with children's axial lengths (0.12 [0.10, 0.14] for fathers and 0.12 [0.094, 0.14] for mothers). LGA was associated with longer axial lengths (0.12 [0.033, 0.20]), whereas small placenta and multiple pregnancies were associated with shorter axial lengths (-0.11 [-0.17, -0.045] and -0.21 [-0.33, -0.091], respectively). The path coefficient for both parents’ axial lengths in relation to their children's axial lengths was 0.23.</div></div><div><h3>Conclusion</h3><div>Parental axial lengths and prenatal conditions may determine axial length during early life.</div></div>","PeriodicalId":100071,"journal":{"name":"AJO International","volume":"2 1","pages":"Article 100088"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AJO International","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2950253524000881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
We investigated the association between actual parental axial length, prenatal conditions, and the axial length in preschool children.
Design
Cohort study
Methods
This study included 1,819 children (mean age: 4.2 ± 0.4 years, 50.1% girls) and their parents enrolled in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study in Japan. Axial length was measured using OA-1000 Optical Biometer. A marginal model with generalized estimating equations was used for association analysis. Variables included the child's age, sex, height at the second wave, prenatal conditions (large for gestational age [LGA], resuscitation, acidosis, small placenta at birth, multiple pregnancies, maternal hypertensive disorders of pregnancy), parental age, and the mean axial length of both parents’ eyes at the second wave. Path analysis was performed to investigate the relationships among the variables.
Results
Axial length was shorter in girls than in boys (regression coefficient (β) [95% confidence interval] -0.52 [-0.57, -0.47]). Age and height were associated with longer axial lengths (0.10 [0.022, 0.18] and 0.025 [0.019, 0.031], respectively). Parental axial lengths were positively associated with children's axial lengths (0.12 [0.10, 0.14] for fathers and 0.12 [0.094, 0.14] for mothers). LGA was associated with longer axial lengths (0.12 [0.033, 0.20]), whereas small placenta and multiple pregnancies were associated with shorter axial lengths (-0.11 [-0.17, -0.045] and -0.21 [-0.33, -0.091], respectively). The path coefficient for both parents’ axial lengths in relation to their children's axial lengths was 0.23.
Conclusion
Parental axial lengths and prenatal conditions may determine axial length during early life.