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Condurache CI, Chiu S, Chotiyarnwong P, Johansson H, Shepstone L, Lenaghan E, Cooper C, Clarke S, Khioe RFS, Fordham R, Gittoes N, Harvey I, Harvey NC, Heawood A, Holland R, Howe A, Kanis JA, Marshall T, O'Neill TW, Peters TJ, Redmond NM, Torgerson D, Turner D, McCloskey E. Screening for high hip fracture risk does not impact on falls risk: a post hoc analysis from the SCOOP study. Osteoporos Int 2020; 31:457-464. [PMID: 31960099 DOI: 10.1007/s00198-019-05270-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 12/17/2019] [Indexed: 12/30/2022]
Abstract
UNLABELLED A reduction in hip fracture incidence following population screening might reflect the effectiveness of anti-osteoporosis therapy, behaviour change to reduce falls, or both. This post hoc analysis demonstrates that identifying high hip fracture risk by FRAX was not associated with any alteration in falls risk. INTRODUCTION To investigate whether effectiveness of an osteoporosis screening programme to reduce hip fractures was mediated by modification of falls risk in the screening arm. METHODS The SCOOP study recruited 12,483 women aged 70-85 years, individually randomised to a control (n = 6250) or screening (n = 6233) arm; in the latter, osteoporosis treatment was recommended to women at high risk of hip fracture, while the control arm received usual care. Falls were captured by self-reported questionnaire. We determined the influence of baseline risk factors on future falls, and then examined for differences in falls risk between the randomisation groups, particularly in those at high fracture risk. RESULTS Women sustaining one or more falls were slightly older at baseline than those remaining falls free during follow-up (mean difference 0.70 years, 95%CI 0.55-0.85, p < 0.001). A higher FRAX 10-year probability of hip fracture was associated with increased likelihood of falling, with fall risk increasing by 1-2% for every 1% increase in hip fracture probability. However, falls risk factors were well balanced between the study arms and, importantly, there was no evidence of a difference in falls occurrence. In particular, there was no evidence of interaction (p = 0.18) between baseline FRAX hip fracture probabilities and falls risk in the two arms, consistent with no impact of screening on falls in women informed to be at high risk of hip fracture. CONCLUSION Effectiveness of screening for high FRAX hip fracture probability to reduce hip fracture risk was not mediated by a reduction in falls.
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Affiliation(s)
- C I Condurache
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
| | - S Chiu
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
| | - P Chotiyarnwong
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK
- Department of Orthopaedic Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - H Johansson
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Centre for Bone and Arthritis Research (CBAR), Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - L Shepstone
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - E Lenaghan
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Oxford Biomedical Research Unit, University of Oxford, Oxford, UK
| | - S Clarke
- Department of Rheumatology, University Hospitals Bristol, Bristol, UK
| | - R F S Khioe
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - R Fordham
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - N Gittoes
- Centre for Endocrinology, Diabetes and Metabolism, Queen Elizabeth Hospital, Birmingham, UK
| | - I Harvey
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A Heawood
- Bristol Medical School, University of Bristol, Bristol, UK
| | - R Holland
- Leicester Medical School, Centre for Medicine, University of Leicester, Leicester, UK
| | - A Howe
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - J A Kanis
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - T Marshall
- Norfolk and Norwich University Hospital, Norwich, UK
| | - T W O'Neill
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK
| | - T J Peters
- Bristol Medical School, University of Bristol, Bristol, UK
| | - N M Redmond
- Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation, Bristol, UK
| | - D Torgerson
- Department of Health Sciences, University of York, York, UK
| | - D Turner
- Norwich Medical School, University of East Anglia, Norwich, UK
| | - E McCloskey
- Centre for Integrated Research in Musculoskeletal Aging, University of Sheffield Medical School, Sheffield, UK.
- Department of Oncology and Metabolism, Academic Unit of Bone Metabolism, The Mellanby Centre For Bone Research, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield, S10 2RX, UK.
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Disability and multimorbidity in women older than 50 years: a population-based household survey. Menopause 2016; 22:660-6. [PMID: 25380276 DOI: 10.1097/gme.0000000000000355] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study aims to evaluate the prevalence of disability and associated factors in Brazilian women older than 50 years. METHODS We conducted a cross-sectional study (in the form of a population survey) of 622 women older than 50 years and residing in Campinas, Brazil. Disability was assessed through a questionnaire with seven items and defined as "being completely unable to perform any of them." Independent variables included self-perception of health, sociodemographic data, health-related habits, and morbidities. Statistical analysis was carried out by χ(2) test and Poisson regression. RESULTS The mean age of women was 64.1 years, and the prevalence of disability was 43.4%. Age (prevalence ratio [PR], 1.02; 95% CI, 1.01-1.03), fear of falling (PR, 1.59; 95% CI, 1.17-2.16), higher body mass index (PR, 1.03; 95% CI, 1.01-1.05), personal history of myocardial infarction (PR, 1.36; 95% CI, 1.06-1.76), smoking more than 15 cigarettes per day (PR, 1.34; 95% CI, 1.04-1.72), hospitalization in the past year (PR, 1.29; 95% CI, 1.03-1.62), multimorbidity (PR, 1.43; 95% CI, 1.02-2.02), and use of any medication prescribed by a doctor (PR, 1.57; 95% CI, 1.02-2.41) were associated with a higher prevalence of disability. Self-perception of health as good/very good (PR, 0.67; 95% CI, 0.52-0.86), use of alternative medications (PR, 0.54; 95% CI, 0.33-0.90), and more years of schooling (PR, 0.65; 95% CI, 0.45-0.93) were associated with a lower prevalence of disability. CONCLUSIONS The results improve our understanding of the factors associated with disability in Brazilian women and may help identify those who need multidisciplinary support to reduce effects on quality of life.
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