Elena Losina1,2,3,4, Genevieve S Silva1, Karen C Smith1, Jamie E Collins1,2, David J Hunter5, Swastina Shrestha1, Stephen P Messier6, Ed H Yelin7, Lisa G Suter8,9, A David Paltiel10, Jeffrey N Katz1,2,3. 1. Orthopaedic and Arthritis Center for Outcomes Research (OrACORe) and Policy and Innovation eValuation in Orthopaedic Treatments (PIVOT) Center, Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America. 2. Harvard Medical School, Boston, Massachusetts, United States of America. 3. Section of Clinical Sciences, Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, Massachusetts, United States of America. 4. Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America. 5. Institute of Bone and Joint Research, Kolling Institute, University of Sydney, and, Rheumatology Department, Royal North Shore Hospital, Sydney, Australia. 6. Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC. 7. University of California, San Francisco, CA. 8. Yale-New Haven Hospital, Center for Outcome Research and Evaluation, Yale School of Medicine, New Haven, CT. 9. West Haven Veterans Affairs Medical Center, West Haven, CT. 10. Yale School of Public Health, New Haven, CT.
Abstract
OBJECTIVE: Half of the 14 million persons in the US with knee osteoarthritis (OA) are not physically active, despite evidence that physical activity (PA) is associated with improved health. We estimated both the quality-adjusted life-year (QALY) losses in the US knee OA population due to physical inactivity and the health benefits associated with higher PA levels. METHODS: We used data from the Osteoarthritis Initiative and CDC to estimate the proportions of the US knee OA population aged 45+ that are inactive, insufficiently active, and active and their likelihoods of shifting PA level. We used the Osteoarthritis Policy (OAPol) Model, a computer simulation of knee OA, to determine QALYs lost due to inactivity and to measure potential benefits (comorbidities averted and QALYs saved) of increased PA. RESULTS: Among 13.7 million persons living with knee OA, 7.5 million total QALYs, or 0.55 QALYs/person, were lost due to inactivity or insufficient PA relative to activity over their remaining lifetimes. Black Hispanic women experienced the highest losses, 0.76 QALYs/person. Females of all races/ethnicities had ~20% higher loss burdens than males. According to our model, if 20% of the inactive population were instead active, 95,920, 222,413, and 214,725 potential cases of cancer, cardiovascular disease, and diabetes would be averted, and 871,541 potential QALYs would be saved. CONCLUSION: Physical inactivity leads to substantial QALY losses in the US knee OA population. Increasing activity level in even a fraction of this population may have considerable collateral health benefits, potentially averting cases of cancer, cardiovascular disease, and diabetes. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
OBJECTIVE: Half of the 14 million persons in the US with knee osteoarthritis (OA) are not physically active, despite evidence that physical activity (PA) is associated with improved health. We estimated both the quality-adjusted life-year (QALY) losses in the US knee OA population due to physical inactivity and the health benefits associated with higher PA levels. METHODS: We used data from the Osteoarthritis Initiative and CDC to estimate the proportions of the US knee OA population aged 45+ that are inactive, insufficiently active, and active and their likelihoods of shifting PA level. We used the Osteoarthritis Policy (OAPol) Model, a computer simulation of knee OA, to determine QALYs lost due to inactivity and to measure potential benefits (comorbidities averted and QALYs saved) of increased PA. RESULTS: Among 13.7 million persons living with knee OA, 7.5 million total QALYs, or 0.55 QALYs/person, were lost due to inactivity or insufficient PA relative to activity over their remaining lifetimes. Black Hispanic women experienced the highest losses, 0.76 QALYs/person. Females of all races/ethnicities had ~20% higher loss burdens than males. According to our model, if 20% of the inactive population were instead active, 95,920, 222,413, and 214,725 potential cases of cancer, cardiovascular disease, and diabetes would be averted, and 871,541 potential QALYs would be saved. CONCLUSION: Physical inactivity leads to substantial QALY losses in the US knee OA population. Increasing activity level in even a fraction of this population may have considerable collateral health benefits, potentially averting cases of cancer, cardiovascular disease, and diabetes. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Authors: Nora K Lenhard; James K Sullivan; Eric L Ross; Shuang Song; Robert R Edwards; David J Hunter; Tuhina Neogi; Jeffrey N Katz; Elena Losina Journal: Arthritis Care Res (Hoboken) Date: 2022-03-29 Impact factor: 5.178
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Authors: Sabuj Kanti Mistry; A R M Mehrab Ali; Uday Narayan Yadav; Rajat Das Gupta; Afsana Anwar; Saurav Basu; Md Nazmul Huda; Dipak Kumar Mitra Journal: PLoS One Date: 2022-09-20 Impact factor: 3.752