Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain
Purpose A key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain m...
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| Veröffentlicht in: | International journal of behavioral medicine 2018-04, Vol.25 (2), p.252-258 |
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| container_title | International journal of behavioral medicine |
| container_volume | 25 |
| creator | Sturgeon, John A. Hah, Jennifer M. Sharifzadeh, Yasamin Middleton, Stephanie K. Rico, Thomas Johnson, Kevin A. Mackey, Sean C. |
| description | Purpose
A key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain medication use at the daily level.
Methods
Daily assessments from 104 individuals with back pain were used to examine fluctuations in daily pain intensity, mood, sleep quality, and physical activity as predictors of the likelihood of pain medication (opioid and non-opioid) use and levels of medication use on the same day.
Results
Pain intensity and mood ratings significantly predicted whether participants used pain medication on the same day, while only pain intensity predicted whether participants used more medication than usual. Further, current opioid users were more likely to increase the amount of their medication use on days of higher pain.
Discussion
This article identifies fluctuations in daily pain intensity and mood as salient predictors of daily pain medication use in individuals with recurrent back pain. The current study is among the first to highlight both pain and mood states as predictors of daily pain medication use in individuals with back pain, though future studies may expand on these findings through the use of higher-resolution daily medication use variables. |
| doi_str_mv | 10.1007/s12529-017-9686-8 |
| format | Article |
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A key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain medication use at the daily level.
Methods
Daily assessments from 104 individuals with back pain were used to examine fluctuations in daily pain intensity, mood, sleep quality, and physical activity as predictors of the likelihood of pain medication (opioid and non-opioid) use and levels of medication use on the same day.
Results
Pain intensity and mood ratings significantly predicted whether participants used pain medication on the same day, while only pain intensity predicted whether participants used more medication than usual. Further, current opioid users were more likely to increase the amount of their medication use on days of higher pain.
Discussion
This article identifies fluctuations in daily pain intensity and mood as salient predictors of daily pain medication use in individuals with recurrent back pain. The current study is among the first to highlight both pain and mood states as predictors of daily pain medication use in individuals with back pain, though future studies may expand on these findings through the use of higher-resolution daily medication use variables.</description><identifier>ISSN: 1070-5503</identifier><identifier>EISSN: 1532-7558</identifier><identifier>DOI: 10.1007/s12529-017-9686-8</identifier><identifier>PMID: 28875436</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adult ; Affect ; Aged ; Analgesics ; Analgesics - administration & dosage ; Analgesics, Opioid - administration & dosage ; Back pain ; Back Pain - drug therapy ; Chronic pain ; Chronic Pain - drug therapy ; Chronic Pain - psychology ; Drug use ; Family Medicine ; Female ; General Practice ; Health Psychology ; Humans ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Mood ; Narcotics ; Opioids ; Pain ; Pain Measurement ; Physical activity ; Sleep ; Young Adult</subject><ispartof>International journal of behavioral medicine, 2018-04, Vol.25 (2), p.252-258</ispartof><rights>International Society of Behavioral Medicine 2017</rights><rights>International Journal of Behavioral Medicine is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-d627da7a5b6da3cf24243c4ada49149c3e1448c7ef65178f4ecfb6d5e9f20d833</citedby><cites>FETCH-LOGICAL-c470t-d627da7a5b6da3cf24243c4ada49149c3e1448c7ef65178f4ecfb6d5e9f20d833</cites><orcidid>0000-0001-6388-0920</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12529-017-9686-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12529-017-9686-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28875436$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sturgeon, John A.</creatorcontrib><creatorcontrib>Hah, Jennifer M.</creatorcontrib><creatorcontrib>Sharifzadeh, Yasamin</creatorcontrib><creatorcontrib>Middleton, Stephanie K.</creatorcontrib><creatorcontrib>Rico, Thomas</creatorcontrib><creatorcontrib>Johnson, Kevin A.</creatorcontrib><creatorcontrib>Mackey, Sean C.</creatorcontrib><title>Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain</title><title>International journal of behavioral medicine</title><addtitle>Int.J. Behav. Med</addtitle><addtitle>Int J Behav Med</addtitle><description>Purpose
A key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain medication use at the daily level.
Methods
Daily assessments from 104 individuals with back pain were used to examine fluctuations in daily pain intensity, mood, sleep quality, and physical activity as predictors of the likelihood of pain medication (opioid and non-opioid) use and levels of medication use on the same day.
Results
Pain intensity and mood ratings significantly predicted whether participants used pain medication on the same day, while only pain intensity predicted whether participants used more medication than usual. Further, current opioid users were more likely to increase the amount of their medication use on days of higher pain.
Discussion
This article identifies fluctuations in daily pain intensity and mood as salient predictors of daily pain medication use in individuals with recurrent back pain. The current study is among the first to highlight both pain and mood states as predictors of daily pain medication use in individuals with back pain, though future studies may expand on these findings through the use of higher-resolution daily medication use variables.</description><subject>Adult</subject><subject>Affect</subject><subject>Aged</subject><subject>Analgesics</subject><subject>Analgesics - administration & dosage</subject><subject>Analgesics, Opioid - administration & dosage</subject><subject>Back pain</subject><subject>Back Pain - drug therapy</subject><subject>Chronic pain</subject><subject>Chronic Pain - drug therapy</subject><subject>Chronic Pain - psychology</subject><subject>Drug use</subject><subject>Family Medicine</subject><subject>Female</subject><subject>General Practice</subject><subject>Health Psychology</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Mood</subject><subject>Narcotics</subject><subject>Opioids</subject><subject>Pain</subject><subject>Pain Measurement</subject><subject>Physical activity</subject><subject>Sleep</subject><subject>Young Adult</subject><issn>1070-5503</issn><issn>1532-7558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kUlPBCEQhYnRuIz-AC-GxIuXVnboi4m7JhqN0TNBoBXtaRS6Nf57Gcc98QSp99WjigfAKkabGCG5lTHhpK4QllUtlKjUDFjEnJJKcq5myx1JVHGO6AJYyvkeIcSlRPNggSglOaNiEZxfJO-C7WPKMDZw34T2FV6Y0MGzSd30IXbwOntYKiedC8_BDabN8CX0d_DS2yEl3_Vw19iH97ZlMNcU3a98nCNwfXhwtXdcnZ4fneztnFaWSdRXThDpjDT8RjhDbUMYYdQy4wyrMast9ZgxZaVvBMdSNczbpqDc1w1BTlE6AttT38fhZuydLUMk0-rHFMYmvepogv6tdOFO38ZnzRWVNeXFYOPDIMWnwedej0O2vm1N5-OQNa6pIALz8k0jsP4HvY9D6sp6miDMBWYc1YXCU8qmmHPyzdcwGOlJXHoaly5x6UlcWpWetZ9bfHV85lMAMgVykbpbn76f_t_1DXCgoIQ</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Sturgeon, John A.</creator><creator>Hah, Jennifer M.</creator><creator>Sharifzadeh, Yasamin</creator><creator>Middleton, Stephanie K.</creator><creator>Rico, Thomas</creator><creator>Johnson, Kevin A.</creator><creator>Mackey, Sean C.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6388-0920</orcidid></search><sort><creationdate>20180401</creationdate><title>Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain</title><author>Sturgeon, John A. ; Hah, Jennifer M. ; Sharifzadeh, Yasamin ; Middleton, Stephanie K. ; Rico, Thomas ; Johnson, Kevin A. ; Mackey, Sean C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-d627da7a5b6da3cf24243c4ada49149c3e1448c7ef65178f4ecfb6d5e9f20d833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Affect</topic><topic>Aged</topic><topic>Analgesics</topic><topic>Analgesics - administration & dosage</topic><topic>Analgesics, Opioid - administration & dosage</topic><topic>Back pain</topic><topic>Back Pain - drug therapy</topic><topic>Chronic pain</topic><topic>Chronic Pain - drug therapy</topic><topic>Chronic Pain - psychology</topic><topic>Drug use</topic><topic>Family Medicine</topic><topic>Female</topic><topic>General Practice</topic><topic>Health Psychology</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Mood</topic><topic>Narcotics</topic><topic>Opioids</topic><topic>Pain</topic><topic>Pain Measurement</topic><topic>Physical activity</topic><topic>Sleep</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sturgeon, John A.</creatorcontrib><creatorcontrib>Hah, Jennifer M.</creatorcontrib><creatorcontrib>Sharifzadeh, Yasamin</creatorcontrib><creatorcontrib>Middleton, Stephanie K.</creatorcontrib><creatorcontrib>Rico, Thomas</creatorcontrib><creatorcontrib>Johnson, Kevin A.</creatorcontrib><creatorcontrib>Mackey, Sean C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database (ProQuest)</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of behavioral medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sturgeon, John A.</au><au>Hah, Jennifer M.</au><au>Sharifzadeh, Yasamin</au><au>Middleton, Stephanie K.</au><au>Rico, Thomas</au><au>Johnson, Kevin A.</au><au>Mackey, Sean C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain</atitle><jtitle>International journal of behavioral medicine</jtitle><stitle>Int.J. Behav. Med</stitle><addtitle>Int J Behav Med</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>25</volume><issue>2</issue><spage>252</spage><epage>258</epage><pages>252-258</pages><issn>1070-5503</issn><eissn>1532-7558</eissn><abstract>Purpose
A key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain medication use at the daily level.
Methods
Daily assessments from 104 individuals with back pain were used to examine fluctuations in daily pain intensity, mood, sleep quality, and physical activity as predictors of the likelihood of pain medication (opioid and non-opioid) use and levels of medication use on the same day.
Results
Pain intensity and mood ratings significantly predicted whether participants used pain medication on the same day, while only pain intensity predicted whether participants used more medication than usual. Further, current opioid users were more likely to increase the amount of their medication use on days of higher pain.
Discussion
This article identifies fluctuations in daily pain intensity and mood as salient predictors of daily pain medication use in individuals with recurrent back pain. The current study is among the first to highlight both pain and mood states as predictors of daily pain medication use in individuals with back pain, though future studies may expand on these findings through the use of higher-resolution daily medication use variables.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>28875436</pmid><doi>10.1007/s12529-017-9686-8</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-6388-0920</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International journal of behavioral medicine, 2018-04, Vol.25 (2), p.252-258 |
| issn | 1070-5503 1532-7558 |
| language | eng |
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| source | MEDLINE; SpringerLink |
| subjects | Adult Affect Aged Analgesics Analgesics - administration & dosage Analgesics, Opioid - administration & dosage Back pain Back Pain - drug therapy Chronic pain Chronic Pain - drug therapy Chronic Pain - psychology Drug use Family Medicine Female General Practice Health Psychology Humans Male Medicine Medicine & Public Health Middle Aged Mood Narcotics Opioids Pain Pain Measurement Physical activity Sleep Young Adult |
| title | Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain |
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