Background: Age of a child can be assessed from various parameters such as chronological age, height, weight, secondary sexual characteristics, skeletal age, or dental age. The present study was planned to assess and compare chronological age with dental age (Demirjian's method and Willem's method) and skeletal age (Fishman's method).
Materials And Methods: The present study was done on a sample of 100 children in the age group of 9-14 years. The chronological age was computed through the birth certificates and dental age was calculated from their orthopantomograms (OPGs) using Demirjian's and Willem's methods. Hand-wrist radiograph of the left hand was used to compute skeletal age using Fishman's method. Paired t-test and Pearson's correlation coefficients were calculated as a part of statistical analysis at a significance level of P < 0.01.
Results: The mean chronological age among the group was 12.37 ± 1.34 years, the mean dental age by Demirjian's method was 12.36 ± 1.72 years, the mean dental age by Willem's method was 12.36 ± 1.51, and the mean skeletal age by Fishman's method was 13.03 ± 1.34 years. Out of the all methods evaluated in the study, Fishman's method of age estimation showed the least value of correlation coefficient (r = 0.728) with the chronological age, whereas Willem's method showed the maximum correlation with the chronological age (r = 0.885).
Conclusion: It can be concluded from the present study that the dental age estimation evaluated by the digital OPG by both the methods, that is, Demirjian's method and Willem's method, has shown high accuracy when applied to the children of Faridabad. Skeletal maturation evaluated by Fishman's method using hand-wrist radiographs was found to overestimate the age when compared to chronological age in both the sexes.
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http://dx.doi.org/10.4103/ijdr.IJDR_698_17 | 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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