title: Cross-sectional Versus Longitudinal Change in a Prospective HR-pQCT Study.
abstract: Longitudinal studies assessing age-related changes using high-resolution peripheral quantitative computed tomography (HR-pQCT) provide novel insight compared with cross-sectional analyses. The purpose of this cohort study was 1) to determine individuals' change in HR-pQCT parameters over 5 years relative to least significant change (LSC), and 2) to evaluate if predicted rate of change from cross-sectional data is comparable to actual change from longitudinal investigation. A cohort of 466 (162 male, 304 female) participants completed two HR-pQCT scans with 5 years between assessments. After image registration, standard and cortical morphological analyses were conducted. Rate of bone microarchitectural change was compared between cross-sectional models and actual change calculated from longitudinal analyses. At the young end of the life span, we observed gains in total bone density of +0.2% to +2.9% per year, whereas the older participants (aged >50 years) lost total bone density at a rate of -0.3% to -1.3% per year. Declines in total bone density begin at age 40 years in females and 60 years in males, and significant adaptation was found at both ends of the age spectrum with respect to the LSC. Models predicting rate of change from cross-sectional data were similar to the actual change reported in this longitudinal study for total density and cortical thickness at the radius and cortical density at the tibia, but we found that changes in comparison to our 5-year longitudinal results were often overestimated from cross-sectional data. Studies aimed at observing age-related changes in a normative cohort, especially in a follow-up period of less than 5 years, are better to focus on the tibia rather than the radius because of the increased sensitivity to change at the tibia. © 2017 American Society for Bone and Mineral Research.
authors.affiliation: Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada.|McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.
authors.forename: Lauren A
authors.identifier: http://orcid.org/0000-0002-0348-5643
authors.initials: LA
authors.lastname: Burt
authors.affiliation: McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.|Departments of Medicine, Community Health Sciences, and Oncology, University of Calgary, Calgary, Canada.
authors.forename: David A
authors.initials: DA
authors.lastname: Hanley
authors.affiliation: Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada.|McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.
authors.forename: Steven K
authors.identifier: http://orcid.org/0000-0002-2930-5997
authors.initials: SK
authors.lastname: Boyd
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D000375:Aging / Q000378:metabolism; D015519:Bone Density / Q000502:physiology; D003430:Cross-Sectional Studies; D005500:Follow-Up Studies; D011446:Prospective Studies; D012727:Sex Characteristics; D014057:Tomography, X-Ray Computed
keywords: AGING; BONE QCT/µCT; GENERAL POPULATION STUDIES; OSTEOPOROSIS