Predictors of painkiller dependence among people with pain in the general population

Hdl Handle:
http://hdl.handle.net/10545/550875
Title:
Predictors of painkiller dependence among people with pain in the general population
Authors:
Elander, James ( 0000-0001-7665-5482 ) ; Duarte, Joana; Maratos, Frances A. ( 0000-0001-5738-6491 ) ; Gilbert, Paul ( 0000-0001-8431-9892 )
Abstract:
Aims: Self-medication with painkillers is widespread and increasing, and evidence about influences on painkiller dependence is needed to inform efforts to prevent and treat problem painkiller use. Design: Online questionnaire survey. Participants: People in the general population who had pain and used painkillers in the last month (n=112). Measurements: Pain frequency and intensity, use of over-the-counter and prescription painkillers, risk of substance abuse (SOAPP scale), depression, anxiety, stress, alexithymia, pain catastrophizing, pain anxiety, pain self-efficacy, pain acceptance, mindfulness, self-compassion, and painkiller dependence (Leeds Dependence Questionnaire). Findings: In multiple regression, the independent predictors of painkiller dependence were prescription painkiller use (ß 0.21), SOAPP score (ß 0.31), and pain acceptance (ß -0.29). Prescription painkiller use mediated the influence of pain intensity. Alexithymia, anxiety and pain acceptance all moderated the influence of pain. Conclusions: The people most at risk of developing painkiller dependence are those who use prescription painkillers more frequently, who have a prior history of substance-related problems more generally, and who are less accepting of pain. Based on these findings, a preliminary model is presented with three types of influence on the development of painkiller dependence: a) pain leading to painkiller use, b) risk factors for substance-related problems irrespective of pain, and c) psychological factors related to pain. The model could guide further research among the general population and high risk groups, and acceptance-based interventions could be adapted and evaluated as methods to prevent and treat painkiller dependence.
Affiliation:
University of Derby
Citation:
Elander, J, Duarte, J, Maratos, F, & Gilbert, P 2014, 'Predictors of Painkiller Dependence among People with Pain in the General Population', Pain Medicine, 15, 4, pp. 613-624
Journal:
Pain Medicine
Issue Date:
Apr-2014
URI:
http://hdl.handle.net/10545/550875
DOI:
10.1111/pme.12263
Additional Links:
http://doi.wiley.com/10.1111/pme.12263
Type:
Article
Language:
en
ISSN:
15262375
Sponsors:
The Leonardo Da Vinci Lifelong Learning Programme funded Joana Duarte’s graduate research placement at the University of Derby
Appears in Collections:
Centre for Psychological Research

Full metadata record

DC FieldValue Language
dc.contributor.authorElander, Jamesen
dc.contributor.authorDuarte, Joanaen
dc.contributor.authorMaratos, Frances A.en
dc.contributor.authorGilbert, Paulen
dc.date.accessioned2015-04-29T10:11:09Zen
dc.date.available2015-04-29T10:11:09Zen
dc.date.issued2014-04en
dc.identifier.citationElander, J, Duarte, J, Maratos, F, & Gilbert, P 2014, 'Predictors of Painkiller Dependence among People with Pain in the General Population', Pain Medicine, 15, 4, pp. 613-624en
dc.identifier.issn15262375en
dc.identifier.doi10.1111/pme.12263en
dc.identifier.urihttp://hdl.handle.net/10545/550875en
dc.description.abstractAims: Self-medication with painkillers is widespread and increasing, and evidence about influences on painkiller dependence is needed to inform efforts to prevent and treat problem painkiller use. Design: Online questionnaire survey. Participants: People in the general population who had pain and used painkillers in the last month (n=112). Measurements: Pain frequency and intensity, use of over-the-counter and prescription painkillers, risk of substance abuse (SOAPP scale), depression, anxiety, stress, alexithymia, pain catastrophizing, pain anxiety, pain self-efficacy, pain acceptance, mindfulness, self-compassion, and painkiller dependence (Leeds Dependence Questionnaire). Findings: In multiple regression, the independent predictors of painkiller dependence were prescription painkiller use (ß 0.21), SOAPP score (ß 0.31), and pain acceptance (ß -0.29). Prescription painkiller use mediated the influence of pain intensity. Alexithymia, anxiety and pain acceptance all moderated the influence of pain. Conclusions: The people most at risk of developing painkiller dependence are those who use prescription painkillers more frequently, who have a prior history of substance-related problems more generally, and who are less accepting of pain. Based on these findings, a preliminary model is presented with three types of influence on the development of painkiller dependence: a) pain leading to painkiller use, b) risk factors for substance-related problems irrespective of pain, and c) psychological factors related to pain. The model could guide further research among the general population and high risk groups, and acceptance-based interventions could be adapted and evaluated as methods to prevent and treat painkiller dependence.en
dc.description.sponsorshipThe Leonardo Da Vinci Lifelong Learning Programme funded Joana Duarte’s graduate research placement at the University of Derbyen
dc.language.isoenen
dc.relation.urlhttp://doi.wiley.com/10.1111/pme.12263en
dc.rightsArchived with thanks to Pain Medicineen
dc.subjectAnalgesicsen
dc.subjectAddictionen
dc.titlePredictors of painkiller dependence among people with pain in the general populationen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalPain Medicineen
dc.contributor.institutionUniversity of Derbyen
dc.contributor.institutionCoimbra University, Coimbra, Portugalen
dc.contributor.institutionUniversity of Derbyen
dc.contributor.institutionUniversity of Derbyen
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