This study assesses chronological age of immature individuals from the degree of ossification evident in the foot skeleton. We considered all tarsal and ray bones in various combinations to determine the most sensitive indicators of chronological age. Skeletal maturity was rated according to a subjective but simple scoring system applied to radiographs of normal feet of children of known chronological age. Scales for assessing the primary center of ossification, secondary center of ossification, and state of fusion are defined. In general, as expected, females show earlier onset of skeletal maturity than males; in particular, females in our sample are skeletally mature in most elements beginning 48 months prior to the earliest incidence of skeletal maturity in males for the same bones. Females in our sample show a marked tendency toward skeletal maturity of all elements by 150 months of age, while males do not show the same tendency until approximately 200 months of age. In general within each sex, consecutive states of fusion show broad overlap in range of chronological age within each bone. Combining scores from several different bones enables a reasonable estimate of potential age in a test application of the model.
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http://dx.doi.org/10.1002/ajpa.10109 | DOI Listing |
Alzheimers Dement (Amst)
January 2025
Introduction: Brain age gap (BAG), defined as the difference between MRI-predicted 'brain age' and chronological age, can capture information underlying various neurological disorders. We investigated the pathophysiological significance of the BAG across neurodegenerative disorders.
Methods: We developed a brain age estimator using structural MRIs of healthy-aged individuals from one cohort study.
Epigenetics Chromatin
January 2025
Department of Neurology, Tongji Shanxi Hospital, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, China.
Background: The DNA methylation-based epigenetic clocks are increasingly recognized for their precision in predicting aging and its health implications. Although prior research has identified connections between accelerated epigenetic aging and multiple sclerosis, the chronological and causative aspects of these relationships are yet to be elucidated. Our research seeks to clarify these potential causal links through a bidirectional Mendelian randomization study.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Orthodontics, University Hospital Bonn, Medical Faculty, Welschnonnenstr. 17, 53111, Bonn, Germany.
Background: Children with non-syndromic cleft lip with or without palate (CL ± P) may present alterations in dental development. The purpose of this cross-sectional study was to compare the dental age (DA) between children with and without CL ± P, and whether single nucleotide polymorphisms (SNPs) in genes encoding growth factors are associated with DA variations.
Methods: Children aged between 5 and 14 years with and without CL ± P were recruited to participate in this study.
Eur Respir J
January 2025
Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, U.S.A.
Background: The role of epigenetic aging in the environmental pathogenesis and prognosis of fibrotic interstitial lung disease (fILD) is unclear. We evaluated whether ambient particulate matter ≤2.5 μm (PM) and neighbourhood disadvantage exposures are associated with accelerated epigenetic aging, and whether epigenetic age is associated with adverse clinical outcomes in patients with fILD.
View Article and Find Full Text PDFPediatr Exerc Sci
January 2025
Youth Physical Development Centre, Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff,United Kingdom.
Purpose: Relative age effects and biological maturation are common biases within youth talent identification and development programs; however, their respective influence on youth weightlifting is unknown.
Method: Skeletal age, determined from ultrasonography, and competitive total loads (kg) were collected in 49 national age group weightlifters (boys: n = 24, age = 13.8 [2.
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