Digit ratio, a proposed marker of the prenatal hormone environment, is not associated with prenatal sex steroids, anogenital distance, or gender-typed play behavior in preschool age children.


Journal

Journal of developmental origins of health and disease
ISSN: 2040-1752
Titre abrégé: J Dev Orig Health Dis
Pays: England
ID NLM: 101517692

Informations de publication

Date de publication:
12 2021
Historique:
pubmed: 19 12 2020
medline: 16 2 2022
entrez: 18 12 2020
Statut: ppublish

Résumé

Prenatal hormones have been proposed as key factors impacting child development as well as long-term health and disease. Digit ratio (the ratio of the lengths of the second to fourth digits; 2D:4D) has been proposed as a sexually dimorphic, noninvasive marker of prenatal androgen exposure that can be reliably measured in children and adults. To date, few longitudinal pregnancy cohort studies have examined childhood digit ratio in relation to other relevant measures including prenatal hormones and androgen-sensitive outcomes. To augment the current literature on this topic, we measured right-hand digit ratio in 4-year-old children participating in The Infant Development and the Environment Study, a multicenter longitudinal cohort study that has been following mother-child dyads since the first trimester of pregnancy (n = 321). We assessed sex differences in digit ratio and fit multivariable linear regression models to examine digit ratio in relation to: (1) child sex; (2) maternal sex steroid hormone concentrations in early pregnancy; (3) newborn anogenital distance, another proposed measure of sensitivity to prenatal androgens; and (4) gender-typical play behavior as measured by the Preschool Activities Inventory (PSAI) at age 4. We observed no sex difference in digit ratio; the mean 2D:4D was 0.97 ± 0.05 mm in both sexes. Furthermore, digit ratio was not associated with maternal sex steroid concentrations in early pregnancy, anogenital distance in either sex, or PSAI scores in either sex in covariate-adjusted models. In conclusion, we observed no evidence that early childhood digit ratio was associated with child sex or hormone-sensitive measures in this cohort.

Identifiants

pubmed: 33336644
pii: S2040174420001270
doi: 10.1017/S2040174420001270
pmc: PMC8211903
mid: NIHMS1651682
doi:

Substances chimiques

Biomarkers 0
Gonadal Steroid Hormones 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

923-932

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES001247
Pays : United States
Organisme : NIEHS NIH HHS
ID : T32 ES007271
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES016863
Pays : United States
Organisme : NIH HHS
ID : UH3 OD023271
Pays : United States
Organisme : NIEHS NIH HHS
ID : P30 ES005022
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES025169
Pays : United States

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Auteurs

Emily Barrett (E)

Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
Environmental and Occupational Health Sciences Institute, Rutgers University, Piscataway, NJ, USA.

Sally W Thurston (SW)

Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Donald Harrington (D)

Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Nicole R Bush (NR)

Departments of Psychiatry and Pediatrics, University of California, San Francisco School of Medicine, San Francisco, CA, USA.

Sheela Sathyanarayana (S)

Department of Pediatrics, University of Washington, Seattle, WA, USA.
Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.

Ruby Nguyen (R)

Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA.

Alexis Zavez (A)

Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Christina Wang (C)

Lundquist Institute, Harbor-UCLA Medical Center, Los Angeles, CA, USA.

Shanna Swan (S)

Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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