biostudies-literatureJohn EMNIEHS NIH HHSNCI NIH HHSNIH HHS777-787https://www.ebi.ac.uk/biostudies/studies/S-EPMC9560975biostudies-literatureUnknown33(6)<h4>Background</h4>Polycyclic aromatic hydrocarbons (PAHs) are endocrine-disrupting chemicals. Few studies have evaluated the association between pubertal development in girls and PAH exposures quantified by urinary biomarkers.<h4>Methods</h4>We examined associations of urinary PAH metabolites with pubertal development in 358 girls 6-16 years of age from the San Francisco Bay Area enrolled in a prospective cohort from 2011 to 2013 and followed until 2020. Using baseline data, we assessed associations of urinary PAH metabolites with pubertal development stage. In prospective analyses limited to girls who at baseline had not yet started breast (N = 176) or pubic hair (N = 179) development or menstruation (N = 267), we used multivariable Cox proportional hazards regression to assess associatiEpidemiology (Cambridge, Mass.)Urinary Biomarkers of Polycyclic Aromatic Hydrocarbons and Timing of Pubertal Development: The California PAH Study.PMC9560975P30 ES009089S10 OD020058R01 CA138638Ingles SAKoo JSantella RMTerry MBThomsen CYan BNguyen JTNguyen KJohn EMKeegan THfalseUrinary Biomarkers of Polycyclic Aromatic Hydrocarbons and Timing of Pubertal Development: The California PAH Study.<h4>Background</h4>Polycyclic aromatic hydrocarbons (PAHs) are endocrine-disrupting chemicals. Few studies have evaluated the association between pubertal development in girls and PAH exposures quantified by urinary biomarkers.<h4>Methods</h4>We examined associations of urinary PAH metabolites with pubertal development in 358 girls 6-16 years of age from the San Francisco Bay Area enrolled in a prospective cohort from 2011 to 2013 and followed until 2020. Using baseline data, we assessed associations of urinary PAH metabolites with pubertal development stage. In prospective analyses limited to girls who at baseline had not yet started breast (N = 176) or pubic hair (N = 179) development or menstruation (N = 267), we used multivariable Cox proportional hazards regression to assess associati2022-01-01T00:00:00Z2022 Nov2025-04-18T14:31:09.127Z2025-04-07T00:42:30.962ZS-EPMC95609753589551410.1097/EDE.000000000000153510.1097/ede.0000000000001535