No Cover Image

Conference Paper/Proceeding/Abstract 156 views 21 downloads

Spinal pain prevalence in Wales and associated risk factors.

Hywel Turner Evans Orcid Logo, Ian Farr, David Byfield, Benjamin Stacey, Damian Bailey

International Journal of Population Data Science, Volume: 7, Issue: 3

Swansea University Authors: Hywel Turner Evans Orcid Logo, Ian Farr

  • 63915.VOR.pdf

    PDF | Version of Record

    © 2022 The Author(s). Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).

    Download (198.62KB)

Check full text

DOI (Published version): 10.23889/ijpds.v7i3.1900

Abstract

Objectives: Spinal pain predisposes patients to a more sedentary lifestyle, a major risk factor for cardiovascular disease and other comorbidities. There is little recent evidence of the current prevalence of spinal pain and associated risk factors in Wales. This analysis addresses this gap in knowl...

Full description

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63915
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-07-19T10:46:24Z
last_indexed 2023-07-19T10:46:24Z
id cronfa63915
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>63915</id><entry>2023-07-19</entry><title>Spinal pain prevalence in Wales and associated risk factors.</title><swanseaauthors><author><sid>73cc98a5b8e4122fdfcee5d88208b0b7</sid><ORCID>0000-0001-6745-4187</ORCID><firstname>Hywel Turner</firstname><surname>Evans</surname><name>Hywel Turner Evans</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3c02e7e9c2b064ee3e96e83b9777dde4</sid><firstname>Ian</firstname><surname>Farr</surname><name>Ian Farr</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-07-19</date><deptcode>HDAT</deptcode><abstract>Objectives: Spinal pain predisposes patients to a more sedentary lifestyle, a major risk factor for cardiovascular disease and other comorbidities. There is little recent evidence of the current prevalence of spinal pain and associated risk factors in Wales. This analysis addresses this gap in knowledge. Approach: This retrospective e-cohort study used linked National Survey for Wales (NSW) data and Welsh Demographic Services data held in the Secure Anonymised Information Linkage (SAIL) Databank. All years of the annual NSW data from 2016 to 2020 (N = 34,123) were used to determine the prevalence of spinal pain in Wales. The likelihood of developing spinal pain was quantified by multivariate regression cross-sectional analysis, adjusting for the presence of the same person in multiple years of the survey data. Predictors included socio-demographic and health status, including mental health and cardiovascular disease. Results: Spinal pain affected 5% of people who took part in the NSW. This analysis also shows that spinal pain disproportionally affects some sub-populations of Wales. Factors associated with a greater likelihood of spinal pain were cardiovascular disease, presence of at least one mental health condition, living in a more deprived area, and education level. This is especially pertinent as the burden of cardiovascular risk is disproportionately elevated in the Welsh population and Wales represents a distinctive demographic, characterised by geographical constraints and low socio-economic status. These factors will be presented and discussed in detail. Conclusion: The prevalence of spinal pain and associated risk factors in Wales was quantified. This work will help inform public health action to encourage interventional and prevention strategies to improve the quality of life for those suffering with spinal pain across Wales.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>7</volume><journalNumber>3</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords>Spine, spinal pain, back pain, musculoskeletal, health data, health research, data linkage</keywords><publishedDay>25</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-25</publishedDate><doi>10.23889/ijpds.v7i3.1900</doi><url>http://dx.doi.org/10.23889/ijpds.v7i3.1900</url><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-01-08T11:20:20.9397258</lastEdited><Created>2023-07-19T11:44:30.2257967</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Hywel Turner</firstname><surname>Evans</surname><orcid>0000-0001-6745-4187</orcid><order>1</order></author><author><firstname>Ian</firstname><surname>Farr</surname><order>2</order></author><author><firstname>David</firstname><surname>Byfield</surname><order>3</order></author><author><firstname>Benjamin</firstname><surname>Stacey</surname><order>4</order></author><author><firstname>Damian</firstname><surname>Bailey</surname><order>5</order></author></authors><documents><document><filename>63915__28392__fc70f7ab4482433d92b75fe15ab24533.pdf</filename><originalFilename>63915.VOR.pdf</originalFilename><uploaded>2023-08-29T11:48:50.4289018</uploaded><type>Output</type><contentLength>203385</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2022 The Author(s). Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 63915 2023-07-19 Spinal pain prevalence in Wales and associated risk factors. 73cc98a5b8e4122fdfcee5d88208b0b7 0000-0001-6745-4187 Hywel Turner Evans Hywel Turner Evans true false 3c02e7e9c2b064ee3e96e83b9777dde4 Ian Farr Ian Farr true false 2023-07-19 HDAT Objectives: Spinal pain predisposes patients to a more sedentary lifestyle, a major risk factor for cardiovascular disease and other comorbidities. There is little recent evidence of the current prevalence of spinal pain and associated risk factors in Wales. This analysis addresses this gap in knowledge. Approach: This retrospective e-cohort study used linked National Survey for Wales (NSW) data and Welsh Demographic Services data held in the Secure Anonymised Information Linkage (SAIL) Databank. All years of the annual NSW data from 2016 to 2020 (N = 34,123) were used to determine the prevalence of spinal pain in Wales. The likelihood of developing spinal pain was quantified by multivariate regression cross-sectional analysis, adjusting for the presence of the same person in multiple years of the survey data. Predictors included socio-demographic and health status, including mental health and cardiovascular disease. Results: Spinal pain affected 5% of people who took part in the NSW. This analysis also shows that spinal pain disproportionally affects some sub-populations of Wales. Factors associated with a greater likelihood of spinal pain were cardiovascular disease, presence of at least one mental health condition, living in a more deprived area, and education level. This is especially pertinent as the burden of cardiovascular risk is disproportionately elevated in the Welsh population and Wales represents a distinctive demographic, characterised by geographical constraints and low socio-economic status. These factors will be presented and discussed in detail. Conclusion: The prevalence of spinal pain and associated risk factors in Wales was quantified. This work will help inform public health action to encourage interventional and prevention strategies to improve the quality of life for those suffering with spinal pain across Wales. Conference Paper/Proceeding/Abstract International Journal of Population Data Science 7 3 Swansea University 2399-4908 Spine, spinal pain, back pain, musculoskeletal, health data, health research, data linkage 25 8 2022 2022-08-25 10.23889/ijpds.v7i3.1900 http://dx.doi.org/10.23889/ijpds.v7i3.1900 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2024-01-08T11:20:20.9397258 2023-07-19T11:44:30.2257967 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Hywel Turner Evans 0000-0001-6745-4187 1 Ian Farr 2 David Byfield 3 Benjamin Stacey 4 Damian Bailey 5 63915__28392__fc70f7ab4482433d92b75fe15ab24533.pdf 63915.VOR.pdf 2023-08-29T11:48:50.4289018 Output 203385 application/pdf Version of Record true © 2022 The Author(s). Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Spinal pain prevalence in Wales and associated risk factors.
spellingShingle Spinal pain prevalence in Wales and associated risk factors.
Hywel Turner Evans
Ian Farr
title_short Spinal pain prevalence in Wales and associated risk factors.
title_full Spinal pain prevalence in Wales and associated risk factors.
title_fullStr Spinal pain prevalence in Wales and associated risk factors.
title_full_unstemmed Spinal pain prevalence in Wales and associated risk factors.
title_sort Spinal pain prevalence in Wales and associated risk factors.
author_id_str_mv 73cc98a5b8e4122fdfcee5d88208b0b7
3c02e7e9c2b064ee3e96e83b9777dde4
author_id_fullname_str_mv 73cc98a5b8e4122fdfcee5d88208b0b7_***_Hywel Turner Evans
3c02e7e9c2b064ee3e96e83b9777dde4_***_Ian Farr
author Hywel Turner Evans
Ian Farr
author2 Hywel Turner Evans
Ian Farr
David Byfield
Benjamin Stacey
Damian Bailey
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 7
container_issue 3
publishDate 2022
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v7i3.1900
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
url http://dx.doi.org/10.23889/ijpds.v7i3.1900
document_store_str 1
active_str 0
description Objectives: Spinal pain predisposes patients to a more sedentary lifestyle, a major risk factor for cardiovascular disease and other comorbidities. There is little recent evidence of the current prevalence of spinal pain and associated risk factors in Wales. This analysis addresses this gap in knowledge. Approach: This retrospective e-cohort study used linked National Survey for Wales (NSW) data and Welsh Demographic Services data held in the Secure Anonymised Information Linkage (SAIL) Databank. All years of the annual NSW data from 2016 to 2020 (N = 34,123) were used to determine the prevalence of spinal pain in Wales. The likelihood of developing spinal pain was quantified by multivariate regression cross-sectional analysis, adjusting for the presence of the same person in multiple years of the survey data. Predictors included socio-demographic and health status, including mental health and cardiovascular disease. Results: Spinal pain affected 5% of people who took part in the NSW. This analysis also shows that spinal pain disproportionally affects some sub-populations of Wales. Factors associated with a greater likelihood of spinal pain were cardiovascular disease, presence of at least one mental health condition, living in a more deprived area, and education level. This is especially pertinent as the burden of cardiovascular risk is disproportionately elevated in the Welsh population and Wales represents a distinctive demographic, characterised by geographical constraints and low socio-economic status. These factors will be presented and discussed in detail. Conclusion: The prevalence of spinal pain and associated risk factors in Wales was quantified. This work will help inform public health action to encourage interventional and prevention strategies to improve the quality of life for those suffering with spinal pain across Wales.
published_date 2022-08-25T11:20:22Z
_version_ 1787520952863555584
score 11.016235

Similar Items