An Association Between Left‐Hand Digit Ratio ( 2D

(4D ) and Anthropometric Indexes in Chinese Children and Adolescents Aged 8–15 Years in Bengbu City

Bibliographic Data

ID17701337
AuthorsYa Zhang (0000-0002-9717-911X, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Ruiyao Cao (Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Wenxiu Li (0000-0002-5015-760X, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Han Fu (0000-0002-3417-4338, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Jiamin Zhu (0000-0001-9906-9849, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Xuemo Xu (Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Rui Wang (0000-0001-7155-3356, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Ziyu Peng (0000-0002-2541-7537, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China), Lianguo Fu (0000-0003-3619-4858, Department of Child and Adolescent Health, School of Public Health Bengbu Medical University Bengbu China, corresponding author)
Year2024
Volume36
Issue11
Pagese24160-e24160
Publication date2024-09-26
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.24160
PMID39327642
OpenAlexW4402934692
LanguageEN
References cited43

The 2D:4D was related to anthropometric indexes in girls, which suggests that the maternal prenatal hormone exposure might be related to the anthropometric indexes of their female offspring

Anthropometry · Bayesian multivariate linear regression · Body mass index · Circumference · Digit ratio · Linear regression · Statistics · Waist · Demography · Hormonal and reproductive studies · Mathematics · Medicine · Sexual Differentiation and Disorders · Urological Disorders and Treatments · Internal Medicine

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