Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers?
Purpose Perceived discomfort could indicate an early sign of pain, for example, as a result of a biomechanical load on the musculoskeletal system. Assessing discomfort can, therefore, help to identify workers at increased risk of musculoskeletal disorders for targeted intervention development. We ai...
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Veröffentlicht in: | International archives of occupational and environmental health 2022-11, Vol.95 (9), p.1881-1889 |
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creator | Waongenngarm, Pooriput van der Beek, Allard J. Janwantanakul, Prawit Akkarakittichoke, Nipaporn Coenen, Pieter |
description | Purpose
Perceived discomfort could indicate an early sign of pain, for example, as a result of a biomechanical load on the musculoskeletal system. Assessing discomfort can, therefore, help to identify workers at increased risk of musculoskeletal disorders for targeted intervention development. We aimed: (1) to identify the optimal cut-off value of neck and low back discomfort among office workers and (2) to evaluate its predictive validity with future neck and low back pain, respectively.
Methods
At baseline healthy participants (
n
= 100) completed questionnaires, including the Borg CR-10 discomfort scale (on a 0–10 scale), and were followed for six months, during which musculoskeletal pain was assessed monthly. Logistic regression analyses were performed to assess the associations of baseline discomfort with the onset of future neck or low back pain. Sensitivity, specificity, and the area under the receiver operating characteristics curve were estimated to identify the optimal discomfort cut-off value predicting future pain.
Results
Borg CR-10 scores ≥ 3.5 for perceived neck and low back discomfort had acceptable sensitivity and specificity to predict future neck and low back pain, respectively. Perceived discomfort at baseline as a dichotomous measure (using the ≥ 3.5 cut-off) was a statistically significant predictor of future neck pain (OR = 10.33) and low back pain (OR = 11.81).
Conclusion
We identified the optimal cut-off value of the Borg CR-10 discomfort scale to identify office workers at increased risk of developing neck and low back pain. These findings might benefit ergonomists, primary health care providers, and occupational health researchers in developing targeted interventions. |
doi_str_mv | 10.1007/s00420-022-01883-3 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9630392</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2731288564</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-26af661311168e6e6ffb4de245cf4792edbaee276b39cad5e1b2f5808ce02f13</originalsourceid><addsrcrecordid>eNp9kV9LHDEUxUNR6mr7BfogAZ9j828yMy-KLtUWhELxPWQyN7Nxd5M1mVH61K_e6FqtID5dLr9zz72Xg9AXRo8ZpfXXTKnklFDOCWVNI4j4gGZMCk4Yl2oHzaiQBTPB9tB-zjeUslrV4iPaE5WqCmxn6M_cBDwuAJ_HNOD5L8IoztasALuYcAC7xCb0eBXvcWdK0_ts47qwEW8S9N6O2E3jlOAN7cb4gM06hgEv_LAgyecljs55C_g-piWkfPoJ7TqzyvD5qR6g64tv1_Pv5Orn5Y_52RWxspYj4co4pconjKkGFCjnOtkDl5V1sm459J0B4LXqRGtNXwHruKsa2lig3DFxgE62tpupW0NvIYzJrPQm-bVJv3U0Xr8mwS_0EO90qwQVLS8GR08GKd5OkEd9E6cUysma14LxpqmULCq-VdkUc07gnjcwqh8y09vMdMlMP2amRRk6_P-255F_IRWB2ApyQWGA9LL7Hdu_9wCjMQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2731288564</pqid></control><display><type>article</type><title>Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers?</title><source>Springer Nature - Complete Springer Journals</source><creator>Waongenngarm, Pooriput ; van der Beek, Allard J. ; Janwantanakul, Prawit ; Akkarakittichoke, Nipaporn ; Coenen, Pieter</creator><creatorcontrib>Waongenngarm, Pooriput ; van der Beek, Allard J. ; Janwantanakul, Prawit ; Akkarakittichoke, Nipaporn ; Coenen, Pieter</creatorcontrib><description>Purpose
Perceived discomfort could indicate an early sign of pain, for example, as a result of a biomechanical load on the musculoskeletal system. Assessing discomfort can, therefore, help to identify workers at increased risk of musculoskeletal disorders for targeted intervention development. We aimed: (1) to identify the optimal cut-off value of neck and low back discomfort among office workers and (2) to evaluate its predictive validity with future neck and low back pain, respectively.
Methods
At baseline healthy participants (
n
= 100) completed questionnaires, including the Borg CR-10 discomfort scale (on a 0–10 scale), and were followed for six months, during which musculoskeletal pain was assessed monthly. Logistic regression analyses were performed to assess the associations of baseline discomfort with the onset of future neck or low back pain. Sensitivity, specificity, and the area under the receiver operating characteristics curve were estimated to identify the optimal discomfort cut-off value predicting future pain.
Results
Borg CR-10 scores ≥ 3.5 for perceived neck and low back discomfort had acceptable sensitivity and specificity to predict future neck and low back pain, respectively. Perceived discomfort at baseline as a dichotomous measure (using the ≥ 3.5 cut-off) was a statistically significant predictor of future neck pain (OR = 10.33) and low back pain (OR = 11.81).
Conclusion
We identified the optimal cut-off value of the Borg CR-10 discomfort scale to identify office workers at increased risk of developing neck and low back pain. These findings might benefit ergonomists, primary health care providers, and occupational health researchers in developing targeted interventions.</description><identifier>ISSN: 0340-0131</identifier><identifier>EISSN: 1432-1246</identifier><identifier>DOI: 10.1007/s00420-022-01883-3</identifier><identifier>PMID: 35650349</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Back pain ; Biomechanics ; Discomfort ; Earth and Environmental Science ; Environment ; Environmental Health ; Low back pain ; Musculoskeletal diseases ; Musculoskeletal system ; Neck ; Occupational health ; Occupational Medicine/Industrial Medicine ; Original ; Original Article ; Pain ; Pain sensitivity ; Regression analysis ; Rehabilitation ; Statistical analysis ; Workers</subject><ispartof>International archives of occupational and environmental health, 2022-11, Vol.95 (9), p.1881-1889</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-26af661311168e6e6ffb4de245cf4792edbaee276b39cad5e1b2f5808ce02f13</citedby><cites>FETCH-LOGICAL-c474t-26af661311168e6e6ffb4de245cf4792edbaee276b39cad5e1b2f5808ce02f13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00420-022-01883-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00420-022-01883-3$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35650349$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Waongenngarm, Pooriput</creatorcontrib><creatorcontrib>van der Beek, Allard J.</creatorcontrib><creatorcontrib>Janwantanakul, Prawit</creatorcontrib><creatorcontrib>Akkarakittichoke, Nipaporn</creatorcontrib><creatorcontrib>Coenen, Pieter</creatorcontrib><title>Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers?</title><title>International archives of occupational and environmental health</title><addtitle>Int Arch Occup Environ Health</addtitle><addtitle>Int Arch Occup Environ Health</addtitle><description>Purpose
Perceived discomfort could indicate an early sign of pain, for example, as a result of a biomechanical load on the musculoskeletal system. Assessing discomfort can, therefore, help to identify workers at increased risk of musculoskeletal disorders for targeted intervention development. We aimed: (1) to identify the optimal cut-off value of neck and low back discomfort among office workers and (2) to evaluate its predictive validity with future neck and low back pain, respectively.
Methods
At baseline healthy participants (
n
= 100) completed questionnaires, including the Borg CR-10 discomfort scale (on a 0–10 scale), and were followed for six months, during which musculoskeletal pain was assessed monthly. Logistic regression analyses were performed to assess the associations of baseline discomfort with the onset of future neck or low back pain. Sensitivity, specificity, and the area under the receiver operating characteristics curve were estimated to identify the optimal discomfort cut-off value predicting future pain.
Results
Borg CR-10 scores ≥ 3.5 for perceived neck and low back discomfort had acceptable sensitivity and specificity to predict future neck and low back pain, respectively. Perceived discomfort at baseline as a dichotomous measure (using the ≥ 3.5 cut-off) was a statistically significant predictor of future neck pain (OR = 10.33) and low back pain (OR = 11.81).
Conclusion
We identified the optimal cut-off value of the Borg CR-10 discomfort scale to identify office workers at increased risk of developing neck and low back pain. These findings might benefit ergonomists, primary health care providers, and occupational health researchers in developing targeted interventions.</description><subject>Back pain</subject><subject>Biomechanics</subject><subject>Discomfort</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Low back pain</subject><subject>Musculoskeletal diseases</subject><subject>Musculoskeletal system</subject><subject>Neck</subject><subject>Occupational health</subject><subject>Occupational Medicine/Industrial Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Pain</subject><subject>Pain sensitivity</subject><subject>Regression analysis</subject><subject>Rehabilitation</subject><subject>Statistical analysis</subject><subject>Workers</subject><issn>0340-0131</issn><issn>1432-1246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kV9LHDEUxUNR6mr7BfogAZ9j828yMy-KLtUWhELxPWQyN7Nxd5M1mVH61K_e6FqtID5dLr9zz72Xg9AXRo8ZpfXXTKnklFDOCWVNI4j4gGZMCk4Yl2oHzaiQBTPB9tB-zjeUslrV4iPaE5WqCmxn6M_cBDwuAJ_HNOD5L8IoztasALuYcAC7xCb0eBXvcWdK0_ts47qwEW8S9N6O2E3jlOAN7cb4gM06hgEv_LAgyecljs55C_g-piWkfPoJ7TqzyvD5qR6g64tv1_Pv5Orn5Y_52RWxspYj4co4pconjKkGFCjnOtkDl5V1sm459J0B4LXqRGtNXwHruKsa2lig3DFxgE62tpupW0NvIYzJrPQm-bVJv3U0Xr8mwS_0EO90qwQVLS8GR08GKd5OkEd9E6cUysma14LxpqmULCq-VdkUc07gnjcwqh8y09vMdMlMP2amRRk6_P-255F_IRWB2ApyQWGA9LL7Hdu_9wCjMQ</recordid><startdate>20221101</startdate><enddate>20221101</enddate><creator>Waongenngarm, Pooriput</creator><creator>van der Beek, Allard J.</creator><creator>Janwantanakul, Prawit</creator><creator>Akkarakittichoke, Nipaporn</creator><creator>Coenen, Pieter</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7T5</scope><scope>7TM</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20221101</creationdate><title>Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers?</title><author>Waongenngarm, Pooriput ; van der Beek, Allard J. ; Janwantanakul, Prawit ; Akkarakittichoke, Nipaporn ; Coenen, Pieter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-26af661311168e6e6ffb4de245cf4792edbaee276b39cad5e1b2f5808ce02f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Back pain</topic><topic>Biomechanics</topic><topic>Discomfort</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Health</topic><topic>Low back pain</topic><topic>Musculoskeletal diseases</topic><topic>Musculoskeletal system</topic><topic>Neck</topic><topic>Occupational health</topic><topic>Occupational Medicine/Industrial Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Pain</topic><topic>Pain sensitivity</topic><topic>Regression analysis</topic><topic>Rehabilitation</topic><topic>Statistical analysis</topic><topic>Workers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Waongenngarm, Pooriput</creatorcontrib><creatorcontrib>van der Beek, Allard J.</creatorcontrib><creatorcontrib>Janwantanakul, Prawit</creatorcontrib><creatorcontrib>Akkarakittichoke, Nipaporn</creatorcontrib><creatorcontrib>Coenen, Pieter</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International archives of occupational and environmental health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Waongenngarm, Pooriput</au><au>van der Beek, Allard J.</au><au>Janwantanakul, Prawit</au><au>Akkarakittichoke, Nipaporn</au><au>Coenen, Pieter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers?</atitle><jtitle>International archives of occupational and environmental health</jtitle><stitle>Int Arch Occup Environ Health</stitle><addtitle>Int Arch Occup Environ Health</addtitle><date>2022-11-01</date><risdate>2022</risdate><volume>95</volume><issue>9</issue><spage>1881</spage><epage>1889</epage><pages>1881-1889</pages><issn>0340-0131</issn><eissn>1432-1246</eissn><abstract>Purpose
Perceived discomfort could indicate an early sign of pain, for example, as a result of a biomechanical load on the musculoskeletal system. Assessing discomfort can, therefore, help to identify workers at increased risk of musculoskeletal disorders for targeted intervention development. We aimed: (1) to identify the optimal cut-off value of neck and low back discomfort among office workers and (2) to evaluate its predictive validity with future neck and low back pain, respectively.
Methods
At baseline healthy participants (
n
= 100) completed questionnaires, including the Borg CR-10 discomfort scale (on a 0–10 scale), and were followed for six months, during which musculoskeletal pain was assessed monthly. Logistic regression analyses were performed to assess the associations of baseline discomfort with the onset of future neck or low back pain. Sensitivity, specificity, and the area under the receiver operating characteristics curve were estimated to identify the optimal discomfort cut-off value predicting future pain.
Results
Borg CR-10 scores ≥ 3.5 for perceived neck and low back discomfort had acceptable sensitivity and specificity to predict future neck and low back pain, respectively. Perceived discomfort at baseline as a dichotomous measure (using the ≥ 3.5 cut-off) was a statistically significant predictor of future neck pain (OR = 10.33) and low back pain (OR = 11.81).
Conclusion
We identified the optimal cut-off value of the Borg CR-10 discomfort scale to identify office workers at increased risk of developing neck and low back pain. These findings might benefit ergonomists, primary health care providers, and occupational health researchers in developing targeted interventions.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35650349</pmid><doi>10.1007/s00420-022-01883-3</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Back pain Biomechanics Discomfort Earth and Environmental Science Environment Environmental Health Low back pain Musculoskeletal diseases Musculoskeletal system Neck Occupational health Occupational Medicine/Industrial Medicine Original Original Article Pain Pain sensitivity Regression analysis Rehabilitation Statistical analysis Workers |
title | Can the Borg CR-10 scale for neck and low back discomfort predict future neck and low back pain among high-risk office workers? |
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