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Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study
OBJECTIVES: To investigate predictors of falls and fractures leading to hospitalisation in people with affective disorders. DESIGN: Cohort study. SETTING: The South London and Maudsley National Health Service (NHS) Foundation Trust (SLaM) Biomedical Research Centre (BRC) Case Register. PARTICIPANTS:...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919445/ https://www.ncbi.nlm.nih.gov/pubmed/35277405 http://dx.doi.org/10.1136/bmjopen-2021-055070 |
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author | Ma, Ruimin Perera, Gayan Romano, Eugenia Vancampfort, Davy Koyanagi, Ai Stewart, Robert Mueller, Christoph Stubbs, Brendon |
author_facet | Ma, Ruimin Perera, Gayan Romano, Eugenia Vancampfort, Davy Koyanagi, Ai Stewart, Robert Mueller, Christoph Stubbs, Brendon |
author_sort | Ma, Ruimin |
collection | PubMed |
description | OBJECTIVES: To investigate predictors of falls and fractures leading to hospitalisation in people with affective disorders. DESIGN: Cohort study. SETTING: The South London and Maudsley National Health Service (NHS) Foundation Trust (SLaM) Biomedical Research Centre (BRC) Case Register. PARTICIPANTS: A large cohort of people with affective disorders (International Classification of Diseases- 10th version [ICD-10] codes F30–F34) diagnosed between January 2008 and March 2016 was assembled using data from the SLaM BRC Case Register. PRIMARY AND SECONDARY OUTCOME MEASURES: Falls and fractures leading to hospitalisation were ascertained from linked national hospitalisation data. Multivariable Cox proportional hazards analyses were administrated to identify predictors of first falls and fractures. RESULTS: Of 36 101 people with affective disorders (mean age 44.4 years, 60.2% female), 816 (incidence rate 9.91 per 1000 person-years) and 1117 (incidence rate 11.92 per 1000 person-years) experienced either a fall or fracture, respectively. In multivariable analyses, older age, analgesic use, increased physical illness burden, previous hospital admission due to certain comorbid physical illnesses and increase in attendances to accident and emergency services following diagnosis were significant risk factors for both falls and fractures. Having a history of falls was a strong risk factor for recurrent falls, and a previous fracture was also associated with future fractures. CONCLUSIONS: Over a mean 5 years’ follow-up, approximately 8% of people with affective disorders were hospitalised with a fall or fracture. Several similar factors were found to predict risk of falls and fracture, for example, older age, comorbid physical disorders and analgesic use. Routine screening for bone mineral density and fall prevention programmes should be considered for this clinical group. |
format | Online Article Text |
id | pubmed-8919445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-89194452022-03-25 Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study Ma, Ruimin Perera, Gayan Romano, Eugenia Vancampfort, Davy Koyanagi, Ai Stewart, Robert Mueller, Christoph Stubbs, Brendon BMJ Open Mental Health OBJECTIVES: To investigate predictors of falls and fractures leading to hospitalisation in people with affective disorders. DESIGN: Cohort study. SETTING: The South London and Maudsley National Health Service (NHS) Foundation Trust (SLaM) Biomedical Research Centre (BRC) Case Register. PARTICIPANTS: A large cohort of people with affective disorders (International Classification of Diseases- 10th version [ICD-10] codes F30–F34) diagnosed between January 2008 and March 2016 was assembled using data from the SLaM BRC Case Register. PRIMARY AND SECONDARY OUTCOME MEASURES: Falls and fractures leading to hospitalisation were ascertained from linked national hospitalisation data. Multivariable Cox proportional hazards analyses were administrated to identify predictors of first falls and fractures. RESULTS: Of 36 101 people with affective disorders (mean age 44.4 years, 60.2% female), 816 (incidence rate 9.91 per 1000 person-years) and 1117 (incidence rate 11.92 per 1000 person-years) experienced either a fall or fracture, respectively. In multivariable analyses, older age, analgesic use, increased physical illness burden, previous hospital admission due to certain comorbid physical illnesses and increase in attendances to accident and emergency services following diagnosis were significant risk factors for both falls and fractures. Having a history of falls was a strong risk factor for recurrent falls, and a previous fracture was also associated with future fractures. CONCLUSIONS: Over a mean 5 years’ follow-up, approximately 8% of people with affective disorders were hospitalised with a fall or fracture. Several similar factors were found to predict risk of falls and fracture, for example, older age, comorbid physical disorders and analgesic use. Routine screening for bone mineral density and fall prevention programmes should be considered for this clinical group. BMJ Publishing Group 2022-03-11 /pmc/articles/PMC8919445/ /pubmed/35277405 http://dx.doi.org/10.1136/bmjopen-2021-055070 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Mental Health Ma, Ruimin Perera, Gayan Romano, Eugenia Vancampfort, Davy Koyanagi, Ai Stewart, Robert Mueller, Christoph Stubbs, Brendon Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title | Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title_full | Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title_fullStr | Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title_full_unstemmed | Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title_short | Predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
title_sort | predictors of falls and fractures leading to hospitalisation in 36 101 people with affective disorders: a large representative cohort study |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919445/ https://www.ncbi.nlm.nih.gov/pubmed/35277405 http://dx.doi.org/10.1136/bmjopen-2021-055070 |
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