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Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study
BACKGROUND: To determine the relationship between clusters of back pain and joint pain and prescription opioid dispensing. METHODS: Of 11,221 middle-aged participants from the Australian Longitudinal Study of Women’s Health, clusters of back pain and joint pain from 2001 to 2013 were identified usin...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502269/ https://www.ncbi.nlm.nih.gov/pubmed/34627214 http://dx.doi.org/10.1186/s12891-021-04741-4 |
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author | Hussain, Sultana Monira Wang, Yuanyuan Peeters, Geeske Wluka, Anita E. Mishra, Gita D. Teede, Helena Urquhart, Donna Brown, Wendy J. Cicuttini, Flavia M. |
author_facet | Hussain, Sultana Monira Wang, Yuanyuan Peeters, Geeske Wluka, Anita E. Mishra, Gita D. Teede, Helena Urquhart, Donna Brown, Wendy J. Cicuttini, Flavia M. |
author_sort | Hussain, Sultana Monira |
collection | PubMed |
description | BACKGROUND: To determine the relationship between clusters of back pain and joint pain and prescription opioid dispensing. METHODS: Of 11,221 middle-aged participants from the Australian Longitudinal Study of Women’s Health, clusters of back pain and joint pain from 2001 to 2013 were identified using group-based trajectory modelling. Prescription opioid dispensing from 2003 to 2015 was identified by linking the cohort to Pharmaceutical Benefit Scheme dispensing data. Multinomial logistic regression was used to examine the association between back pain and joint pain clusters and dispensing of prescription opioids. The proportion of opioids dispensed in the population attributable to back and join pain was calculated. RESULTS: Over 12 years, 68.5 and 72.0% women reported frequent or persistent back pain and joint pain, respectively. There were three clusters (‘none or infrequent’, ‘frequent’ and ‘persistent’) for both back pain and joint pain. Those in the persistent back pain cluster had a 6.33 (95%CI 4.38-9.16) times increased risk of having > 50 opioid prescriptions and those in persistent joint pain cluster had a 6.19 (95%CI 4.18-9.16) times increased risk of having > 50 opioid prescriptions. Frequent and persistent back and joint pain clusters together explained 41.7% (95%CI 34.9-47.8%) of prescription opioid dispensing. Women in the frequent and persistent back pain and joint pain clusters were less educated and reported more depression and physical inactivity. CONCLUSION: Back pain and joint pain are major contributors to opioid prescription dispensing in community-based middle-aged women. Additional approaches to reduce opioid use, targeted at those with frequent and persistent back pain and joint pain, will be important in order to reduce the use of opioids and their consequent harm in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04741-4. |
format | Online Article Text |
id | pubmed-8502269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85022692021-10-20 Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study Hussain, Sultana Monira Wang, Yuanyuan Peeters, Geeske Wluka, Anita E. Mishra, Gita D. Teede, Helena Urquhart, Donna Brown, Wendy J. Cicuttini, Flavia M. BMC Musculoskelet Disord Research BACKGROUND: To determine the relationship between clusters of back pain and joint pain and prescription opioid dispensing. METHODS: Of 11,221 middle-aged participants from the Australian Longitudinal Study of Women’s Health, clusters of back pain and joint pain from 2001 to 2013 were identified using group-based trajectory modelling. Prescription opioid dispensing from 2003 to 2015 was identified by linking the cohort to Pharmaceutical Benefit Scheme dispensing data. Multinomial logistic regression was used to examine the association between back pain and joint pain clusters and dispensing of prescription opioids. The proportion of opioids dispensed in the population attributable to back and join pain was calculated. RESULTS: Over 12 years, 68.5 and 72.0% women reported frequent or persistent back pain and joint pain, respectively. There were three clusters (‘none or infrequent’, ‘frequent’ and ‘persistent’) for both back pain and joint pain. Those in the persistent back pain cluster had a 6.33 (95%CI 4.38-9.16) times increased risk of having > 50 opioid prescriptions and those in persistent joint pain cluster had a 6.19 (95%CI 4.18-9.16) times increased risk of having > 50 opioid prescriptions. Frequent and persistent back and joint pain clusters together explained 41.7% (95%CI 34.9-47.8%) of prescription opioid dispensing. Women in the frequent and persistent back pain and joint pain clusters were less educated and reported more depression and physical inactivity. CONCLUSION: Back pain and joint pain are major contributors to opioid prescription dispensing in community-based middle-aged women. Additional approaches to reduce opioid use, targeted at those with frequent and persistent back pain and joint pain, will be important in order to reduce the use of opioids and their consequent harm in this population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-021-04741-4. BioMed Central 2021-10-09 /pmc/articles/PMC8502269/ /pubmed/34627214 http://dx.doi.org/10.1186/s12891-021-04741-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hussain, Sultana Monira Wang, Yuanyuan Peeters, Geeske Wluka, Anita E. Mishra, Gita D. Teede, Helena Urquhart, Donna Brown, Wendy J. Cicuttini, Flavia M. Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title | Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title_full | Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title_fullStr | Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title_full_unstemmed | Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title_short | Association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
title_sort | association between clusters of back and joint pain with opioid use in middle-aged community-based women: a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502269/ https://www.ncbi.nlm.nih.gov/pubmed/34627214 http://dx.doi.org/10.1186/s12891-021-04741-4 |
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