Patrick Vavken1, Ronald Dorotka. 1. Children's Hospital Boston, Harvard Medical School, Boston, Massachusetts 02115, USA. patrick.vavken@childrens.harvard.edu
Abstract
OBJECTIVE: The availability of reliable estimates of the burden of musculoskeletal disease is of considerable importance for policymakers. METHODS: This study uses data from the 14,507 participants of the European Health Interview Survey conducted in Austria in 2006/2007 to calculate estimates of the prevalence of osteoarthritis, spinal conditions, and osteoporosis in a population representative of other European Union or Organisation for Economic Co-operation and Development member states. Urbanicity, socioeconomic status, and age and sex were included as determinants of musculoskeletal disease. RESULTS: The prevalence of arthritis was 18.8% (95% confidence interval [95% CI] 18.2-19.4%), of spinal conditions was 38.4% (95% CI 37.6-39.2%), and of osteoporosis was 6.6% (95% CI 6.3-7.0%). The census data showed strong evidence for an association between urbanicity and arthritis (P = 0.012) and osteoporosis (P < 0.001), but not spinal conditions (P = 0.721). Arthritis and spinal conditions were associated with socioeconomic status (P < 0.001 for all). Osteoporosis showed the same associations with age, income, and education. For arthritis, a combined model showed a substantial attenuation of the effect of urbanicity on arthritis prevalence after adjustment for socioeconomic status. CONCLUSION: These data suggest that the burden of musculoskeletal disease is determined by both urbanicity and socioeconomic status; however, the effect of urbanicity seems to be attributable to differences in socioeconomic status and demographics across geographic regions.
OBJECTIVE: The availability of reliable estimates of the burden of musculoskeletal disease is of considerable importance for policymakers. METHODS: This study uses data from the 14,507 participants of the European Health Interview Survey conducted in Austria in 2006/2007 to calculate estimates of the prevalence of osteoarthritis, spinal conditions, and osteoporosis in a population representative of other European Union or Organisation for Economic Co-operation and Development member states. Urbanicity, socioeconomic status, and age and sex were included as determinants of musculoskeletal disease. RESULTS: The prevalence of arthritis was 18.8% (95% confidence interval [95% CI] 18.2-19.4%), of spinal conditions was 38.4% (95% CI 37.6-39.2%), and of osteoporosis was 6.6% (95% CI 6.3-7.0%). The census data showed strong evidence for an association between urbanicity and arthritis (P = 0.012) and osteoporosis (P < 0.001), but not spinal conditions (P = 0.721). Arthritis and spinal conditions were associated with socioeconomic status (P < 0.001 for all). Osteoporosis showed the same associations with age, income, and education. For arthritis, a combined model showed a substantial attenuation of the effect of urbanicity on arthritis prevalence after adjustment for socioeconomic status. CONCLUSION: These data suggest that the burden of musculoskeletal disease is determined by both urbanicity and socioeconomic status; however, the effect of urbanicity seems to be attributable to differences in socioeconomic status and demographics across geographic regions.
Authors: Wojciech Pluskiewicz; Piotr Adamczyk; Aleksandra Czekajło; Władysław Grzeszczak; Bogna Drozdzowska Journal: J Bone Miner Metab Date: 2013-05-21 Impact factor: 2.626
Authors: K D Allen; L Arbeeva; L F Callahan; Y M Golightly; A P Goode; B C Heiderscheit; K M Huffman; H H Severson; T A Schwartz Journal: Osteoarthritis Cartilage Date: 2018-01-05 Impact factor: 6.576
Authors: Adam J Taylor; Robert D Kay; Jason A Bryman; Erik Y Tye; Donald B Longjohn; Soheil Najibi; Robert P Runner Journal: J Am Acad Orthop Surg Glob Res Rev Date: 2022-03-09
Authors: Quinn I Williams; Alexander H Gunn; John E Beaulieu; Bernadette C Benas; Bruce Buley; Leigh F Callahan; John Cantrell; Andrew P Genova; Yvonne M Golightly; Adam P Goode; Christopher I Gridley; Michael T Gross; Bryan C Heiderscheit; Carla H Hill; Kim M Huffman; Aaron Kline; Todd A Schwartz; Kelli D Allen Journal: BMC Musculoskelet Disord Date: 2015-09-28 Impact factor: 2.362