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Dental panoramic radiographs (DPRs) and measurements derived from them have yet to be assessed as a screening tool for low bone mineral density in children. Skull bone mineral density (SK-BMD) has high heritability and is less affected by environmental factors than measures of BMD at other skeletal sites. This study aimed to analyze the relationship between mandibular cortical thickness and SK-BMD in peripubertal children. This population-based cross-sectional study involved 2672 children aged 13\u00a0years from the Generation R Study. Mandibular cortical thickness was obtained from DPRs and quantified with the mental index (MI) and the superior panoramic mandibular index (sPMI). SK-BMD was quantified from total body dual-energy X-ray absorptiometry scans and weighted polygenic scores (wPGS). The determinants of mandibular cortical thickness were also assessed. The analysis was done with linear regression models, adjusted for confounders, and within a Mendelian randomization (MR) framework. Both MI and sPMI were significantly associated with SK-BMD in fully adjusted models. When the characteristics of the participants stratified for the extreme quintiles of the SK-BMD wPGS distribution were compared, only SK-BMD (\n                    <jats:italic>p<\/jats:italic>\n                    value\u2009&lt;\u20090.001), sPMI (\n                    <jats:italic>p<\/jats:italic>\n                    value\u2009=\u20090.032), and MI (\n                    <jats:italic>p<\/jats:italic>\n                    value\u2009&lt;\u20090.001) differed significantly between extremes. Mandibular cortical thickness parameters were significantly associated with SK-BMD in an unconfounded setting. DPRs may serve as a valuable tool for surmising low BMD in peripubertal children, once clinical cutoffs for mandibular cortical thickness are established.\n                  <\/jats:p>","DOI":"10.1007\/s00223-026-01501-1","type":"journal-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T03:12:30Z","timestamp":1772766750000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mandibular Cortical Thickness Predicts Skull BMD in Adolescents"],"prefix":"10.1007","volume":"117","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4646-2050","authenticated-orcid":false,"given":"Tarsila","family":"de Moura Figueiredo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9463-3962","authenticated-orcid":false,"given":"Vid","family":"Prijatelj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olja","family":"Grgic-Chavez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7999-5538","authenticated-orcid":false,"given":"Carolina","family":"Medina-Gomez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5159-3497","authenticated-orcid":false,"given":"Eppo","family":"Wolvius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lea","family":"Kragt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9435-9441","authenticated-orcid":false,"given":"Fernando","family":"Rivadeneira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,6]]},"reference":[{"key":"1501_CR1","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.jpeds.2016.09.056","volume":"180","author":"CM Gordon","year":"2017","unstructured":"Gordon CM, Zemel BS, Wren TA, Leonard MB, Bachrach LK, Rauch F, Gilsanz V, Rosen CJ, Winer KK (2017) The determinants of peak bone mass. 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