![]() When aligned by chronological age, per 1-year older age at puberty was associated with faster subsequent gains in bone mineral density the magnitudes of faster gains were greatest between ages 14 and 16 years in both male participants (0.013 g/cm 2/y 95% CI, 0.011-0.015 g/cm 2/y) and female participants (0.014 g/cm 2/y 95% CI, 0.014-0.015 g/cm 2/y), were greater in male participants (0.011 g/cm 2/y 95% CI, 0.010-0.013 g/cm 2/y) than in female participants (0.003 g/cm 2/y 95% CI, 0.003-0.004 g/cm 2/y) between ages 16 and 18 years, and were least in both male participants (0.002 g/cm 2/y 95% CI, 0.001-0.003 g/cm 2/y) and female participants (0.000 g/cm 2/y 95% CI, −0.001 to 0.000 g/cm 2/y) between ages 18 and 25 years. Male participants gained bone mineral density at faster rates than did female participants, with the greatest gains in both male participants (0.139 g/cm 2/y 95% CI, 0.127-0.151 g/cm 2/y) and female participants (0.106 g/cm 2/y 95% CI, 0.098-0.114 g/cm 2/y) observed between the year before and 2 years after peak height velocity. The mean (SD) age at peak height velocity was 13.5 (0.9) years for male participants and 11.6 (0.8) years for female participants. Results A total of 6389 participants (3196 female) were included. Main Outcomes and Measures Gains per year in whole-body bone mineral density (grams per square centimeter), assessed by dual-energy x-ray absorptiometry at ages 10, 12, 14, 16, 18, and 25 years and modeled using linear splines. Data analysis was performed from June 2018 to June 2019.Įxposures Age at puberty from estimated age at peak height velocity (years). The participants were 6389 healthy British people who underwent regular follow-up, including up to 6 repeated bone density scans from ages 10 to 25 years. Objective To examine whether puberty timing is associated with bone mineral density accrual up to adulthood.ĭesign, Setting, and Participants This cohort study used data from the Avon Longitudinal Study of Parents and Children, a prospective population-based birth cohort initiated in 1991 to 1992 in southwest England. Importance Bone health in early life is thought to influence the risk of osteoporosis in later life. Shared Decision Making and Communication.Scientific Discovery and the Future of Medicine.Health Care Economics, Insurance, Payment.Clinical Implications of Basic Neuroscience.Challenges in Clinical Electrocardiography.Predicted Mean Trajectories of Total Hip and Femur Neck BMD From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV Percentiles Predicted Mean Trajectories of Pelvis BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 10. Predicted Mean Trajectories of Ribs BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 9. Predicted Mean Trajectories of Spine BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 8. Predicted Mean Trajectories of Trunk BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 7. Predicted Mean Trajectories of Legs BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 6. Predicted Mean Trajectories of Arms BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV PercentilesĮFigure 5. Predicted Mean Trajectories of Whole-body BMD and BMC From Menarche to Adulthood for Females in the 10th, 50th, and 90th Age at Menarche PercentilesĮFigure 4. Predicted Mean Trajectories of Whole-body BMD and BMC From APHV to Adulthood for Individuals in the 10th, 50th, and 90th APHV Percentiles, Using APHV From Measured HeightsĮFigure 3. Observed Whole-body BMD and BMC at Each Follow-up Assessment From 10 to 25 YearsĮFigure 2. Gains in BMD and BMC During Each Period (A) From Childhood (Prepuberty) to Adulthood, With Age Centered at Pubertal Age (ie, APHV) and (B) From Puberty to Adulthood Per 1-Year Older Age at PubertyĮFigure 1. Comparison on Model Covariates Between Those Included in the Linear Spline Models With Those That Were Excluded From the Analysis Due to Missing All Six DXA Measures, Despite Having Data on APHVĮTable 3. Comparison on Model Covariates Between Participants Included in the Linear Spline Models That Had All Six DXA Measures With Those Also Included in the Analysis But Were Missing at Least One DXA MeasureĮTable 2. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |