Literature DB >> 35727200

A meta-analysis of the associations of elements of the fear-avoidance model of chronic pain with negative affect, depression, anxiety, pain-related disability and pain intensity.

Andrew H Rogers1, Samantha G Farris2.   

Abstract

BACKGROUND AND
OBJECTIVE: Biopsychosocial conceptualizations of clinical pain conditions recognize the multi-faceted nature of pain experience and its intersection with mental health. A primary cognitive-behavioural framework is the Fear-Avoidance Model, which posits that pain catastrophizing and fear of pain (including avoidance, cognitions and physiological reactivity) are key antecedents to, and drivers of, pain intensity and disability, in addition to pain-related psychological distress. This study aimed to provide a comprehensive analysis of the magnitude of the cross-sectional association between the primary components of the Fear-Avoidance Model (pain catastrophizing, fear of pain, pain vigilance) with negative affect, anxiety, depression, pain intensity and disabilities in studies of clinical pain. DATABASES AND DATA TREATMENT: A search of MEDLINE and PubMed databases resulted in 335 studies that were evaluated in this meta-analytic review, which represented 65,340 participants.
RESULTS: Results from the random effect models indicated a positive, medium- to large-sized association between fear of pain, pain catastrophizing, and pain vigilance measures and outcomes (pain-related negative affect, anxiety, depression and pain-related disability) and medium-sized associations with pain intensity. Fear of pain measurement type was a significant moderator of effects across all outcomes.
CONCLUSIONS: These findings provide empirical support, aligned with the components of the fear-avoidance (FA) model, for the relevance of both pain catastrophizing and fear of pain to the pain experience and its intersection with mental health. Implications for the conceptualization of the pain catastrophizing and fear of pain construct and its measurement are discussed. SIGNIFICANCE: This meta-analysis reveals that, among individuals with various pain conditions, pain catastrophizing, fear of pain, and pain vigilance have medium to large associations with pain- related negative affect, anxiety, and depression, pain intensity and disability. Differences in the strength of the associations depend on the type of self-report tool used to assess fear of pain.
© 2022 The Authors. European Journal of Pain published by John Wiley & Sons Ltd on behalf of European Pain Federation - EFIC ®.

Entities:  

Mesh:

Year:  2022        PMID: 35727200      PMCID: PMC9541898          DOI: 10.1002/ejp.1994

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.651


INTRODUCTION

Pain is a clinically significant problem that affects approximately 20% of the world's population (Goldberg & McGee, 2011; Mills et al., 2019; Yong et al., 2022), and chronic pain, or experiencing pain for at least 3 months, affects approximately half of those with pain (upwards of 10% of people across the world; Jackson et al., 2014), Pain experience is associated with significant medical expenditures, physical and mental health problems and disability. Additionally, pain, in general, has been linked to the onset and maintenance of the opioid epidemic (Ballantyne & Shin, 2008; Manchikanti et al., 2012), suggesting that the deleterious outcomes associated with chronic pain are far‐reaching. Both pharmacological and psychological treatment strategies are used to manage pain, but all with mixed long‐term efficacy (Vlaeyen & Morley, 2005). It is well‐documented that psychological processes contribute to the maintenance of pain, its intensity and disability, thus may undermine treatment efficacy (Darnall et al., 2017; Goesling et al., 2018; Uebelacker et al., 2015; Vinall et al., 2016). The most prominent psychological model of pain experience is the fear‐avoidance (FA) model of pain (Asmundson et al., 1999; Vlaeyen & Linton, 2000; Vlaeyen & Linton, 2012), with a revision of the model positing that, in the context of pain, pain catastrophizing, fear of pain, comprised of avoidance, negative cognitions, physiological arousal, pain vigilance/hypervigilance (attention toward pain) contribute to emotional distress and subsequently amplify the subjective intensity of the pain experience (Norton & Asmundson, 2003). The components of pain‐related fear can in turn lead to disability, and subsequently, perpetuate the cycle of pain. Pain‐related fear has been studied extensively in terms of various functional outcomes, primarily pain‐related disability and pain intensity. Indeed, in a meta‐analysis of 41 studies, Zale et al. (2013) found a moderate to large‐sized positive correlation between fear of pain and pain‐related disability, and this association was stable across demographic characteristics, including gender, age and variations in pain intensity. In another meta‐analysis of 253 studies, Markfelder and Pauli (2020) found a small to moderate positive correlation between fear of pain and pain intensity; here, the patterning of association remained consistent across measures of fear of pain, but differed as a function of several demographic characteristics, including age, location of pain, first‐time pain episode, treatment status for pain and anxiety sensitivity. Less work has taken a meta‐analytic approach to examine pain catastrophizing as it relates to functional outcomes amongst pain patients. Of the existing work, one combining both pain catastrophizing and pain anxiety found that both constructs are associated with a higher likelihood of post‐operative pain in adult surgery patients (Theunissen et al., 2012). Another meta‐analytic study found that reductions in pain catastrophizing across treatment modalities resulted in clinical improvements for adults with chronic non‐cancer pain (Schütze et al., 2018). Further meta‐analytic work amongst adults with chronic pelvic pain found elevated rates of pain catastrophizing (Huang et al., 2020), and a meta‐analysis of paediatric chronic pain patients found that pain catastrophizing was moderately associated with pain outcomes, but strongly associated with mental health and functional outcomes (Miller et al., 2018). Yet, there remains a lack of literature specifically focused on these relations amongst adults with chronic pain, as well as across the range of pain and clinical outcomes. Further, no meta‐analytic work has examined the relationship between pain vigilance/hypervigilance with negative affect, anxiety, depression, pain severity or pain‐related disability. This limitation is important, as there is a growing body of literature that highlights the importance of pain vigilance in terms of functional outcomes (Crombez et al., 2005; Roelofs et al., 2003). Specifically, attention to pain, or pain vigilance, has been associated with pain‐related disability (McCracken, 1997), and more recent mechanistic research suggests that pain vigilance may, in fact, depend on pain‐related fear and catastrophic thinking (Goubert et al., 2004). Yet, it remains to be examined if pain vigilance represents a unique construction with unique associations with negative affect, anxiety, depression, pain severity and pain‐related disability. Despite the abovementioned meta‐analytic evidence, there are several areas to bolster and extend this work. First, the emotional sequelae of pain catastrophizing, pain‐related fear and pain vigilance have not been explored in the existing meta‐analytic studies. Emotional distress (e.g. stress, anxiety, depression) is often observed amongst people with pain generally, and chronic pain specifically (Tsang et al., 2008; Woo, 2010), and is implicated in various aspects of pain recovery (Tripp et al., 2011). Heightened emotional distress is associated with more severe pain intensity (Gaskin et al., 1992; Wiech & Tracey, 2009; Wong et al., 2015) and can lead to more severe and debilitating pain (Linton & Shaw, 2011; Lumley et al., 2011). Additionally, mental health symptoms, focusing on anxiety and depression, have been strongly associated with opioid misuse and use disorder amongst individuals with chronic pain (Fischer et al., 2012; Gatchel, 2004), and given that the rates of opioid‐related problems and functional impairment are elevated amongst those with pain, it is critical to understand the anxiety and depression as clinical outcomes. Moreover, pain‐related negative affect, a core cognitive/emotional process of pain‐related fear in the Fear‐Avoidance Model, may be bi‐directionally related to fear of pain: that is, it may be a precipitant to pain‐related fear (Crombez et al., 1999; Wong et al., 2015) and it is also possible that pain‐related negative affect responses (e.g. anger, shame, helplessness) may be secondary emotions to the experience of fear (Rodríguez‐Torres et al., 2005). Despite its relevance, there have been no estimates of the effect size across studies on the association between pain catastrophizing, as well as fear of pain and these mental health outcomes. Second, research on both pain catastrophizing and “fear of pain” has been limited by significant heterogeneity in its conceptualization, definition, and in turn, its measurement (see comprehensive review by Lundberg et al., 2011). The variability introduced by the use of various different assessment tools has not yet been systematically examined as a moderating variable in meta‐analytic studies. Third, limited research suggests differential associated with fear of pain across treatment settings (Esteve & Ramírez‐Maestre, 2013), and, given the differences that were found replicating and extending these results to pain catastrophizing is clinically important. Finally, pain symptom presents across various conditions, and thus may be a primary medical complaint, or may be the consequence of another condition, including cancer. Therefore, considering the report of pain as a primary or secondary concern may then affect the relationship between fear of pain and pain outcomes. Thus, the current study aims to provide an updated meta‐analysis that both replicates and extends past work by examining the associations between pain catastrophizing, fear of pain, and pain vigilance with key theoretically‐relevant outcomes based on past work (Ocañez et al., 2010), including: pain intensity, pain‐related disability, pain‐related negative affect, anxiety and depression. The considerable variability observed across studies suggests the presence of moderating factors, including the type of pain and measurement tool used, but little is known about how these factors may influence observed relations. Therefore, the main goal of the current study is to estimate the magnitude of association between pain catastrophizing, fear of pain, pain vigilance and pain‐related negative affect, anxiety, depression, pain intensity and pain‐related disability, across samples with pain after correcting for sampling error and examining potential moderating factors of these associations.

METHOD

Study inclusion

The aims and methods of this meta‐analysis were pre‐registered with PROSPERO (#CRD42019131557). The article search was conducted using MEDLINE and PsychInfo online databases, with the following search code: MEDLINE—pain[MeSH Terms] AND (TX ‘Pain‐Related Fear’ OR ‘Pain‐Related Anxiety’ OR ‘Kinesiophobia’ OR ‘pain anxiety’ OR ‘pain catastrophizing’ OR ‘Body vigilance’ OR ‘Pain‐related disability’ OR ‘Fear of pain’ OR ‘Fear of injury’ OR ‘fear of reinjury’ OR ‘fear of movement’ OR ‘fear of physical activity’ OR ‘Attention to pain’ OR ‘pain‐related avoidance’ OR ‘disuse syndrome’ OR ‘pain hypervigilance’); PsychInfo—TX (TX ‘Pain‐Related Fear’ OR ‘Pain‐Related Anxiety’ OR ‘Kinesiophobia’ OR ‘pain anxiety’ OR ‘pain catastrophizing’ OR ‘Body vigilance’ OR ‘Pain‐related disability’ OR ‘Fear of pain’ OR ‘Fear of injury’ OR ‘fear of reinjury’ OR ‘fear of movement’ OR ‘fear of physical activity’ OR ‘Attention to pain’ OR ‘pain‐related avoidance’ OR ‘disuse syndrome’ OR ‘pain hypervigilance’) AND (SU ‘pain’). Searches were limited to studies conducted with human participants and published in the English language. Studies were included if they met the following criteria: (a) a sample of adults (18+), (b) a clinical sample of patients experiencing pain, (c) inclusion of at least one pain catastrophizing or fear of pain measure (described below; including fear, avoidance, or negative alterations in cognition) and (d) report a direct correlation of pain catastrophizing or fear of pain with at least one clinical outcome measure.

Pain catastrophizing, fear of pain and pain vigilance/hypervigilance measures

Pain catastrophizing, fear of pain and pain vigilance/hypervigilance are typically measured via self‐report instruments assessing a range of constructs, including fear of pain, fear of movement, pain‐related anxiety and fear of activities, amongst others (Zale et al., 2013). A previous review of fear of pain measures (Lundberg et al., 2011) suggested including at least the following measures: Fear‐Avoidance Beliefs Questionnaire (FABQ), Fear‐Avoidance of Pain Scale (FAPS), Fear of Pain Questionnaire (FPQ), Pain Anxiety Symptoms Scale (PASS) and the Tampa Scale for Kinesiophobia (TSK). Similarly, pain catastrophizing is most commonly assessed using the Pain Catastrophizing Scale (Sullivan et al., 1995) and pain vigilance is most commonly assessed using the Pain Vigilance Awareness Questionnaire (Roelofs et al., 2003). However, based on the lack of clear evidence for the psychometric properties or construct validity of each of these measures as well as potential additional measures that assess these constructs, the current meta‐analysis included several additional measures, identified a priori by the authors, that tap both pain catastrophizing and fear of pain (detailed in results below). Additional measures were considered during the article screening process and decisions for inclusion were determined by author consensus.

Outcome variables

Our key outcomes of interest were modelled on previous meta‐analytic reviews that have examined the relationship between psychological determinates of pain (fear of pain, anxiety sensitivity) (Markfelder & Pauli, 2020; Ocañez et al., 2010; Zale et al., 2013). Outcome measures were organized as follows: pain‐related negative affect (e.g. Multidimensional Pain Inventory [MPI]: Negative affect subscale), anxiety symptom severity (e.g. Beck Anxiety Inventory [BAI], Generalized Anxiety Disorder‐7 [GAD‐7]), depressive symptom severity (e.g. Patient Health Questionnaire [PHQ‐9], Beck Depression Inventory [BDI]), pain severity (e.g. MPI: pain severity subscale), and pain‐related disability (e.g. MPI: interference subscale).

Study selection

See Figure 1 for the number of studies identified and excluded at each stage of screening. A total of 3576 unique articles were extracted from the search criteria. An initial screening of article titles and abstracts was conducted by two independent reviewers. A third independent reviewer screened any article abstracts in which the initial screening determination was unclear or in conflict (19.3% of screened articles). A total of 912 studies were identified as possibly relevant, and a subsequent review of the full text of each article was completed by two independent reviewers to determine eligibility. When the two reviewers did not agree on study inclusion (n = 58 articles, 6.3%), a third independent reviewer coded the study and resolved the discrepancy. A total of 335 studies were identified that met all inclusion criteria.
FIGURE 1

PRISM diagram

PRISM diagram

Data extraction and synthesis

Data abstraction was conducted by a single coder and then double‐checked for accuracy by a second coder. For each study, sample size, sample type, study setting (pain/rehabilitation clinic, primary care clinic or other clinic/research setting) and correlations (r) between pain catastrophizing or fear of pain and outcomes were recorded. For studies that reported multiple samples (control and pain), the study was included if the correlation for the pain‐only group was specifically reported. When studies reported total scores as well as subscale scores, only the total score was used, as the subscale scores are related to the broader construct. When the measure included only one subscale of interest (i.e. CSQ—Catastrophizing Subscale), this specific effect size was extracted, and the total score was not used. Analyses were conducted in R using the metacor package (Laliberté, 2019) to calculate the pooled effect size estimates for each of the relationship between the pain catastrophizing or fear of pain measure and outcomes (pain intensity, pain‐related disability, pain‐related negative affect, anxiety and depression). To address assumptions of independence of each study, one correlation between pain catastrophizing or fear of pain and the outcome was included in each study for the pooled analyses. When the study reported multiple correlations between measures (e.g. one study with correlations between PASS and anxiety and TSK and anxiety), the average study correlation was calculated (Zale et al., 2013). For moderator analyses by measure (outlines below) the effect sizes were disaggregated to compare effect sizes across instruments. Additionally, to eliminate duplicate study effects from multiple papers published from the same dataset, studies were screened according to published recommendations (‘Andy’ Wood, 2008), including examining the same first author and corresponding author, sample size, study year, fear of pain measure and others. Studies that were identified as being from the same sample were averaged together to provide one effect size estimate per sample. For the meta‐analysis, first, a random‐effects model, using the Sidik‐Johnkman estimator for between‐study heterogeneity, was used to estimate the pooled effect size for the relationship between fear of pain and each outcome. To test the homogeneity assumption for meta‐analyses, I and τ were examined. Based on past research I can be quantified as low (25%), moderate (50%) and high (75%) levels of heterogeneity (Higgins & Thompson, 2002). To examine the effect of potential moderators on study heterogeneity, two types of moderator analyses were conducted. First, for categorical moderators, sub‐group analyses allowed for individual pooled random‐effects correlations for each group studied, as well as a statistical test of between‐study variability (Borenstein & Higgins, 2013). For continuous moderators, a meta‐regression analysis was conducted (Higgins & Thompson, 2004). Given the significant variability in the number of studies that included each moderator variable, not all studies were included in each moderator analysis. Past research indicates that at least two studies must be present to conduct a meta‐analysis (Valentine et al., 2010), but given the random‐effects nature of the analysis as well as the significance observed within and between‐study heterogeneity, we used the threshold of five studies (Jackson & Turner, 2017). To investigate the presence of small study publication bias, we used the funnel plot and contoured funnel plot for a visual inspection of study bias (Peters et al., 2008), and Egger's regression test for a statistical test of small study bias (Egger et al., 1997). When Egger's test is significant, suggesting the presence of small study publication bias, we employed Duval and Tweedie's trim and fill procedure (Duval & Tweedie, 2000), which calculates how many studies are missing, and imputes effect sizes from the missing studies and estimates what the effect size would have been if the missing studies had been included.

RESULTS

Descriptive information on each of the included studies (n = 335) is presented in Table 1, which includes a list of the fear of pain measures and outcomes for each study. Pooled results and moderation results are presented in Table 2.
TABLE 1

Details for studies included in the meta‐analysis (n = 335)

StudyPain conditionNSettingStudy countryFear of pain measureOutcomes
Accardi‐Ravid et al. (2018)Orthopaedic pain, intraabdominal pain121ClinicUnited StatesPCSD
Alschuler et al. (2011)Low back pain20ClinicUnited StatesTSK, PCSC
Andersen et al. (2017)Low back pain91ClinicDenmarkTSK, PCSD, E
Arewasikporn et al. (2018)Multiple sclerosis163ResearchUnited StatesPCSC, D, E
Arnow et al. (2011)Chronic pain2618ResearchUnited StatesCSQE
Arrindell et al. (2006)Peri partum pelvic pain413ClinicNetherlandsTSKB, C
Åsenlöf and Söderlund (2010)Musculoskeletal pain92PrimarySwedenTSKE
Asmundson et al. (1999)1 Headache72ResearchCanadaPASSD
Asmundson et al. (2001)1 Headache108ResearchCanadaPASSB, C, D
Badr and Shen (2014)Breast cancer191ResearchUnited StatesCSQC, D
Baranoff et al. (2015)Anterior cruciate ligament surgical reconstruction44ClinicAustraliaPCSC, D
Baudic et al. (2016)Breast cancer masectomy100ResearchFrancePCSB
Bean et al. (2014)Low back pain, complex regional pain176ClinicNew ZealandTSKB, C, D, E
Beckman (2011)Musculoskeletal pain73ResearchUnited StatesCSQC, D, E
Belfer et al. (2013)Breast cancer masectomy611ResearchUnited StatesPCSD
Bernini et al. (2015)Chronic pain133ResearchItalyPASSD
Besen et al. (2015)2 Low back pain241PrimaryUnited StatesTSK, PCSD
Besen et al. (2017)2 Low back pain241ResearchUnited StatesPCSD, E
Black et al. (2015)Headache526ResearchUnited StatesPASSB, C
Black (2019)Migraine72ResearchUnited StatesPASSB, C, E
Blake (2015)Chronic pain105ResearchCanadaPCSE
Boer et al. (2012)Chronic pain287ResearchNetherlandsPCS, PCLD
Boersma and Linton (2005)Spinal pain184ResearchSwedenTSK, CSQD, E
Brandt et al. (2013)3 HIV/AIDS164ResearchUnited StatesPASSB, C
Brandt et al. (2016)3 HIV/AIDS93ResearchUnited StatesPASSB, C, D
Brede et al. (2011)Musculoskeletal disorder551ClinicUnited StatesPASSB, D, E
Bryson et al. (2014)4 Chronic pain111ResearchUnited StatesPCSB, C, E
Bryson (2013)4 Chronic pain111ResearchUnited StatesPCSB, C, E
Buck and Morley (2006)Cancer26ClinicUnited KingdomPCSD
Buenaver et al. (2007)Chronic pain1365ClinicUnited StatesCSQC, D, E
Buenaver et al. (2012)39 Temporomandibular disorder214ResearchUnited StatesPCSC, D, E
Bunkertop et al. (2006)Whiplash47ResearchSwedenTSKD, E
Burns et al. (2000)Musculoskeletal pain98ResearchUnited StatesPASSB, C, D, E
Campbell et al. (2010)39 Temporomandibular disorder, arthritis91ResearchUnited StatesPCSC
Carranza (2001)Headache99ResearchUnited StatesPASS, OtherD
Cary et al. (2017)Arthritis136ResearchCanada, United StatesPASSD
Cassidy et al. (2012)Low back pain116ClinicUnited KingdomPCSB, C, D, E
Chan (2015)Lung cancer, breast cancer346ResearchHong KongPCS,D, E
Chatkoff et al. (2015)Musculoskeletal pain69ClinicUnited StatesPCSB, C, D, E
Chen and Jackson (2018)Low back pain307ResearchChinaCSQA, C, D
Cho et al. 2010Chronic pain179ResearchKoreaPASSD
Cimpean and Matu (2018)Coxarthrosis31ClinicRomaniaPASS, PCSD
Citero et al. (2007)Sickle cell disease220ResearchUnited StatesCSQC, D
Cook et al. (2006)Chronic pain469ResearchUnited StatesTSK, CSQC, D, E
Coombes et al. (2016)Lateral epicondylalgia24ResearchAustraliaTSKD
Coons et al. (2014)5 Musculoskeletal pain201ResearchCanadaPASSA, D, E
Costa et al. (2011)Low back pain184PrimaryAustraliaTSKD, E
Costa et al. (2014)Rheumatoid arthritis55ResearchPortugalPRSSSD
Costello et al. (2015)Chronic pain65ResearchIrelandCSQB, C, D, E
Craig et al. (2017)Spinal cord injury71ResearchAustraliaPRSSSB, C, D
Craner et al. (2016)Chronic pain844ClinicUnited StatesPCSC, D, E
Craner et al. (2017)Chronic pain249ClinicUnited StatesPCSA, C, D, E
Crombez et al. (1999a)6 Chronic back pain38ResearchBelgiumTSKD
Crombez et al. (1999b)6 Chronic back pain35PrimaryBelgiumFABQ, TSKD, E
Crombez et al. (2004)Fibromyalgia, back pain110ClinicBelgiumPCS, PVAQD
Crombez et al. (2008)Chronic pain364PrimaryBelgiumPCS, PVAQD, E
Crombez et al. (2013)Chronic pain62ResearchBelgiumPVAQ, OtherD
Cucciare et al. (2009)HIV with chronic pain60ClinicUnited StatesPASSE
Curtin (2017)Musculoskeletal pain201ResearchUnited StatesPASS, PCSD, E
Dailey (2013)Fibromyalgia43ResearchUnited StatesTSKD
Dalton and Feuerstein (1989)Cancer79ClinicUnited StatesOtherE
Dargie et al. (2016)Vulvar pain248ResearchCanadaPCS, OtherD, E
Darnall and Sazie (2012)Chronic pain146ResearchUnited StatesPCSB, C, D, E
Darnall et al. (2017)Chronic pain519ResearchUnited StatesPCSB, C, D, E
Dawson et al. (2011)Low back pain2164ResearchAustraliaTSK, PCSD
Day and Thorn (2010)Chronic pain115ClinicUnited StatesPCSC, D, E
de Vlieger et al. (2006)Chronic pain185ResearchBelgiumPCSC, D, E
Denison et al. (2004)Musculoskeletal pain371ResearchSwedenTSK, CSQD, E
Desrochers et al. (2009)Intercourse pain75ResearchCanadaPASS, PCS, PVAQB, D
Dick et al. (2002)Fibromyalgia, rheumatoid rrthritis, musculoskeletal pain60ClinicCanadaPCSB, C, D, E
Dimitriadis et al. (2014)Neck pain45ResearchGreeceTSK, PCSB, C
Dogru et al. (2018)Lumbopelvic pain due to pregnancy429ResearchTurkeyPCSB, C, D
Dubois et al. (2016)Low back pain100ResearchCanadaFABQ, PCS, PVAQE
Dyson (2014)Low back pain185ClinicUnited StatesPASSC, D
Edwards et al. (2003)Chronic pain74ClinicUnited StatesPASSD
Elander et al. (2014)Pain requiring painkillers112ResearchUnited KingdomPASS, PCSB, C, D
Elkana et al. (2020)Physical rehabilitation81ClinicIsraelPCSC, D, E
Elphinston et al. (2018)Whiplash96ClinicCanadaTSK, PCSC, D
Elvery et al. (2017)Chronic pain207ResearchAustraliaPCSB, C, D, E
Esteve et al. (2012)7 Back pain299PrimarySpainFABQ, PCS, PVAQB, C, D, E
Esteve et al. (2017)7 Acute back pain232PrimarySpainFABQC, D, E
Ferrari et al. (2016)8 back pain103ClinicItalyTSKD, E
Finan et al. (2018)Sickle cell disease45ResearchUnited StatesPCSD
Fischerauer et al. (2018)Injury105ResearchUnited StatesPASSD
Fish et al. (2013)Chronic pain550ResearchMulti‐NationalTSK, PCSB, C, D, E
Flink et al. (2017)Vulvovaginal pain during intercourse510ResearchSwedenPCSD
Foster et al. (2010)Low back pain1591ResearchEnglandTSK, CSQE
Franklin et al. (2016)Musculoskeletal pain60ResearchUnited KingdomTSK, PCSB, C, D, E
French et al. (2007)Neck and/or back pain post‐injury200ClinicCanadaFABQ, TSK, PCSB, C, D, E
Gandhi et al. (2010)Hip and knee osteoarthritis200PrimaryCanadaPCSB, C, D
Garza‐ Villarreal et al. (2014)Fibromyalgia22ResearchMexicoPCSD
Gauthier et al. (2006)9 Soft tissue injury225ClinicCanadaTSK, PCSC, D, E
Gauthier et al. (2008a)10 Neck and/or back pain post‐injury58ResearchCanadaTSK, PCSD, E
Gauthier et al. (2008b)Chronic musculoskeletal pain176ClinicCanadaTSK, PCSE
Gauthier et al. (2009)Cancer81ClinicCanadaPASS, PCSC, D, E
Gay et al. (2015)Low back pain67ResearchUnited StatesFABQ, PCS, OtherD
Geelen et al. (2017)Diabetic neuropathy154ResearchNetherlandsPASS, TSKD, E
Geisser et al. (2000)11 Chronic back pain133ClinicUnited StatesTSKC
Geisser et al. (2004)11 Chronic low back pain76ClinicUnited StatesTSKD
George and Hirsh (2009)12 Shoulder pain due to injury59ResearchUnited StatesPCS, FPQD
George et al. (2011)Low back pain80ResearchUnited StatesFABQ, TSK, PCSD, E
Gerhart et al. (2017)Low back pain121ResearchUnited StatesCSQD, E
Gheldof et al. (2006)13 Back pain831ResearchNetherlandsTSKD, E
Gheldof et al. (2010)13 Low back pain667ResearchBelgium, NetherlandsTSKD, E
Gillanders et al. (2013)Chronic pain150ClinicUnited KingdomPCSD, E
Gil‐Martinez et al. (2016a)14 Migraine, temporomandibular disorder39ResearchSpainTSK, PCSD
Gil‐Martinez et al. (2016b)14 Temporomandibular disorder154ClinicSpainTSKD, E
Gil‐Martinez et al. (2017)14 Migraine, temporomandibular disorder101ResearchSpainTSK, PCSD, E
Glowacka et al. (2014)Pregnant females150ResearchCanadaPASS, PCS, PVAQD
Goldfinger et al. (2009)Provoked vestibulodynia13ResearchCanadaPASS, PCSD
Goubert et al. (2004)15 Low back pain122ResearchBelgiumTSK, PCS, PVAQD
Goubert et al. (2005)15 Low back pain85ClinicBelgiumTSK, PCSD, E
Granot and Ferber (2005)Postoperative pain following surgery38ResearchIsraelPCSB, D
Greenberg and Burns (2003)16 Musculoskeletal pain70ClinicUnited StatesPASSA, D
Greenberg et al. (2001)16 Musculoskeletal pain70ClinicUnited StatesPASSB, D
Grotle et al. (2004)Low back pain356ResearchNorwayFABQD, E
Hadjistavropoulos et al. (2004)5 Musculoskeletal pain121ResearchCanadaPASSB
Hadlandsmyth et al. (2017)Total knee arthroplasty346ResearchUnited StatesPCSA, B
Hallberg and Carlsson (1998)Fibromyalgia & work‐related pain80ClinicSwedenCSQB
Hanley et al. (2008)Spinal cord injury40ResearchUnited StatesSPA, CSQE
Harris et al. (2018)Chronic pain436ResearchUnited StatesPCSC
Harrison et al. (2015)Multiple sclerosis608ResearchUnited KingdomPCSD, E
Harrison et al. (2016)Chronic pain221ClinicUnited KingdomPVAQC, D
Hartzell (2015)Musculoskeletal pain284ClinicUnited StatesFABQ, PASS, TSK, PCS, OtherC, D, E
Hasenbring et al. (2009)Back pain191PrimaryGermany, United KingdomFABQ, PASS, OtherC, D, E
Herbert et al. (2014)Symptomatic knee osteoarthritis168ResearchUnited StatesPVAQC, D, E
Hill et al. (2010)Back pain130PrimaryUnited KingdomTSK, PCSE
Hirsh et al. (2007)Chronic pain152ClinicUnited StatesPASS, CSQC, D
Holroyd et al. (2007)Migraine232ResearchUnited StatesPCSB, C, D
Holtzman and DeLongis (2007)Rheumatoid arthritis69ResearchCanadaPCS, CSQD
Horn‐Hofmann et al. (2017)17 Congenital thoracic malformation104ResearchGermanyPASS, PCS, PVAQB, C
Huis in't Veld et al. (2007)Neck‐shoulder pain due to injury58ResearchNetherlandsFABQ, TSK, CSQD, E
Hursey and Jacks (1992)Headache76ResearchUnited StatesFPQ, CSQB, C
Hyde‐Nolan (2015)Fibromyalgia90ResearchUnited StatesPCSC, D
Imai et al. (2016)Distal radial fracture26ResearchJapanPCSD
Jensen et al. (2016)Chronic pain85ResearchUnited StatesSPA, PCSD, E
Jensen et al. (2017)Chronic pain184ResearchUnited StatesSPA, PCS, OtherB, C, D, E
Johansen et al. (2013)Neck pain221ClinicNorwayTSKE
Johansen (2008)Back pain120ClinicUnited StatesFABQE
Junghaenel et al. (2017)Muscoloskeletal pain71ResearchUnited StatesPCSD
Kao et al. (2012)Postmenopausal dyspareunia182ResearchCanadaPCSB, C
Karademas et al. (2017)Chronic pain162ResearchGreecePCSE
Karoly et al. (2008)Back pain100ResearchUnited StatesOtherC, D, E
Karsdorp and Vlaeyen (2009)Fibromyalgia409ResearchNetherlandsPCSD, E
Keogh et al. (2006)Chronic pain260ClinicUnited KingdomPASSD, E
Keogh et al. (2010)Bone fracture in hand87PrimaryUnited KingdomPASS, PCSD, E
Khan et al. (2012)Cardiac surgery64ResearchUnited KingdomPCSB, C, D
Kindler et al. (2011)12 Shoulder pain due to injury59ResearchUnited StatesPCSD
Koenig (2015)Low back pain188ResearchUnited StatesPASSC, D
Kola and Walsh (2012)Colposcopy164ResearchIrelandFPQB, D
Kosiba et al. (2018)Cigarette smokers229ResearchUnited StatesPCSB, D
Kovacs et al. (2008)Low back pain411ResearchSpainFABQ, CSQD, E
Kratz et al. (2007)Osteoartheritis, fibromyalgia122ResearchUnited StatesOtherD
Kupper (2016)Chronic pain248ResearchUnited StatesPASSC, D
Kyle (2010)Tooth extraction157ResearchUnited StatesFPQB, C, D
La Touche et al. (2015)Headache83PrimarySpainPCSD
Lackner et al. (2004)18 Irritable bowel syndrome244ResearchUnited StatesCSQB, C, D
Lackner et al. (2005)18 Irritable bowel syndrome186ResearchUnited StatesCSQB, D
Lambin et al. (2011)29 Fibromyalgia50ResearchCanadaTSK, PCSC, D, E
Lautenbacher et al. (2009)17 Congenital thoracic malformation54ResearchGermanyPASS, PCS, PVAQC, D
Leeuw et al. (2007)19 Low back pain152ResearchNetherlandsTSK, PCS, OtherD, E
Lefebvre et al. (2017)Chronic pain137ClinicUnited StatesPASS, PCS, FPQ, OtherC, D
LeMay et al. (2011)20 Cancer or chronic pain235ResearchCanadaPASSC, D, E
LeMay (2009)20 Cancer or chronic pain235ResearchCanadaPASS, PCSC, D, E
Lemieux et al. (2013)28 Provoked vestibulodynia179ResearchCanadaOtherD
Leonard and Cano (2006)Chronic musculoskeletal pain113ResearchUnited StatesOtherB, C, D
Lochting et al. (2016)Low back pain203PrimaryNorwayPCSE
Lopez‐Martinez et al. (2014)Musculoskeletal pain149PrimarySpainPASS, PCSD, E
Lucey et al. (2011)HIV sensory neuropathy46ResearchUnited StatesPCSC, D, E
Lüning Bergsten et al. (2012)Back pain265ClinicSwedenTSKE
Makino et al. (2013)Chronic pain128ResearchJapanPCSB, C, D, E
Mankovsky‐Arnold et al. (2014)Whiplash142ResearchCanadaTSKD, E
Mann (2010)Complex regional pain syndrome104ClinicUnited StatesPCS, CSQE
Marshall et al. (2017)Low back pain218ResearchAustraliaFABQ, PCSB, C, D, E
Martel et al. (2013)Spinal pain115ClinicUnited StatesPASS, PCSC, D
Martin et al. (2010)Chronic pain208ResearchCanadaPASS, PCSD, E
Martin (2013)Temporomandibular disorder94ResearchUnited StatesPCSC, D
Martinez et al. (2015)Fibromyalgia97ResearchSpainPASS, PCSB, C, D, E
Mathur et al. (2016)Sickle cell disease81ResearchUnited StatesPCSC, D, E
Mayland et al. (2015)Upper limb injury84ClinicNew ZealandPASSB, E
McCracken et al. (1992)21 Chronic pain104ClinicUnited StatesPASS, CSQB, C, D, E
McCracken et al. (1996)21 Chronic pain45ClinicUnited StatesFABQ, PASS, FPQD, E
McCracken et al. (1998)21 Chronic low back pain79ClinicUnited StatesPASSA, C, D, E
McCracken et al. (2002)21 Chronic low back pain59ClinicUnited StatesPASSA, C, D, E
McCracken et al. (2007)Chronic pain105ClinicSwedenPASSC, D, E
McDermott (2015)Migraine66ResearchUnited StatesPASSB, C
McMurtry (2004)Soft tissue injury137ResearchCanadaFABQ, PASS, TSK, PCSC, D, E
McNeil et al. (2001)Orofacial pain40ClinicAustraliaFPQB, C
McParland and Knussen (2016)Arthritis or fibromyalgia95ResearchScotlandCSQD, E
McWilliams et al. (2014)22 Chronic pain300ClinicCanadaPCSD, E
McWilliams et al. (2015)22 Chronic pain280ClinicCanadaPCSC, D, E
Mehta et al. (2017)Chronic pain229ResearchCanadaPCSB, C, D, E
Michael and Burns (2004)23 Chronic pain82ClinicUnited StatesPCSD
Michael et al. (1998)23 Chronic pain82ClinicUnited StatesPCSC, D
Miro et al. (2018)Chronic pain186ClinicCanadaPCSC, D, E
Mobley and Thomas‐Hawkins (2014)Chronic pain115ClinicUnited StatesPCSB, C, D
Mogoase et al. (2016)Gastrointestinal condition32ResearchRomaniaPCSD
Moldovan et al. (2009)Low back pain46ClinicRomaniaPCSB, C, D
Monticone et al. (2016)8 Back pain131ResearchItalyTSK, PCS, PVAQB, C, D, E
Morasco et al. (2014)Hepatitis C119ResearchUnited StatesPCSC, D, E
Mortazavi‐Nasiri et al. (2017)Migraine178ResearchIranPCSD, E
Moss‐Morris et al. (2007)Chronic pain58ClinicNew ZealandPCS, PVAQE
Mun et al. (2015)Chronic pain132ResearchUnited StatesPCSB, C, D, E
Nahman‐Averbuch et al. (2013)Migraine132ResearchUnited StatesPCSD
Nash et al. (2006)Headache84ClinicUnited StatesPASSD, E
Nelson et al. (2006)24 Fibromyalgia39ResearchUnited StatesPCSC, D
Nelson (2008)24 Fibromyalgia124ResearchUnited StatesPCSC, D
Nevedal and Lumley (2012)Spinal pain, rheumatoid arthritis563ResearchUnited StatesTSKC, D, E
Newman et al. (2017)Chronic pain290ClinicUnited StatesPCSC, D, E
Newton‐John et al. (2014)Chronic pain101ClinicAustraliaTSK, PCSC, D, E
Nicholson Perry et al. (2009)Spinal cord injury47ClinicAustraliaPRSSSB, C, D, E
Nieto et al. (2009)Whiplash147ClinicSpainTSK, PCSC, E
Nieto et al. (2012)Myotonic muscular dystrophy, facioscapulohumeral dystrophy107ResearchUnited StatesSPA, PCS, CSQD, E
Nijs et al. (2008)Chronic fatigue syndrome36ResearchBelgiumPCSC, D
Nisenzon et al. (2014)Low back pain103ClinicUnited StatesFABQ, PCSB, C, D, E
Novak et al. (2011)Peripheral nerve injury158ResearchCanadaPCSD
Noyman‐Veksler et al. (2017)Chronic pain428ClinicIsraelPCSB, C, E
Ong et al. (2010)Chronic pain95ResearchUnited StatesPCSD
Ord (2010)Spinal pain138PrimaryUnited StatesPCSC, E
Papaioannou et al. (2009)Postoperative pain61ResearchGreecePCSB, C
Park et al. (2016)Musculoskeletal pain357ResearchKoreaPCSD
Patterson et al. (2012)Chronic pain151ResearchUnited StatesPASSC, D
Pavlin et al. (2005)Postoperative pain anterior cruciate ligament repair48ResearchUnited StatesPCSD
Pedler and Sterling (2011)25 Whiplash98ResearchAustraliaTSKD, E
Pedler et al. (2016)25 Whiplash103ResearchAustraliaTSK, CSQD, E
Pells et al. (2007)Sickle cell disease67ResearchUnited StatesTSKB, C, D, E
Pence et al. (2006)Chronic pain108ResearchUnited StatesPCSC, D, E
Pereira et al. (2017)Male genital pain during intercourse50ResearchPortugalPCSD
Perry and Francis (2013)Chronic pain68ResearchAustraliaFABQ, TSK, CSQC, D, E
Peters et al. (2005)Low back pain100ClinicNetherlandsPASS, TSK, PCSD, E
Pierson (2008)HIV with chronic pain92ResearchUnited StatesPASSB, C, D
Pincus et al. (2008)Chronic pain243ClinicUnited KingdomTSK, PCSB, C
Pinto et al. (2012a)26 Postoperative pain186ResearchPortugalCSQB
Pinto et al. (2012b)26 Postoperative pain203ResearchPortugalCSQB, C, D
Pinto et al. (2015)26 Postoperative pain252ResearchPortugalCSQB, C, D
Plesner and Vaegter (2018)Chronic pain1343ClinicDenmarkTSK, PCSB, C, D, E
Quartana et al. (2010)39 Temporomandibular disorder39ResearchUnited StatesPCSD
Ramirez‐Maestre et al. (2014)7 Chronic spinal pain686PrimarySpainFABQ, PCS, PVAQB, C, D, E
Ramirez‐Maestre et al. (2017)7 Acute back pain232PrimarySpainFABQ, PCSC, D, E
Reneman et al. (2007)Chronic low back pain137ClinicNetherlandsFABQ, TSKD, E
Reynolds et al. (2018)Chronic pain147ResearchUnited StatesPASSA, B, C, D, E
Richardson et al. (2009)27 Back pain67ClinicUnited StatesPCSC, D
Richardson et al. (2010)27 Back pain67ClinicUnited StatesPCSD, E
Riddle et al. (2017)Osteoarthritis384ResearchUnited StatesPCSB, C, D
Roelofs et al. (2007)Musculoskeletal pain, work‐related upper extremity disorders1109ResearchNetherlandsTSKD
Rogers et al. (2018)Chronic pain256ResearchUnited StatesPASSD
Rosen et al. (2013)28 Provoked vestibulodynia175ResearchCanadaPCSD
Rost et al. (2017)Fibromyalgia47ClinicBelgiumPCSB, C, D
Roth et al. (2007)33 Osteoarthritis of the knee50ResearchCanadaPCSD
Rovner et al. (2015)Chronic pain914ClinicSwedenTSKA, B, C, D, E
Samwel et al. (2006)30 Chronic pain169ClinicNetherlandsTSKC, D, E
Samwel et al. (2007)30 Chronic pain181ClinicNetherlandsTSK, OtherD, E
Sanchez et al. (2011)Fibromyalgia74ResearchSpainPASS, PCSB, C, D
Scheel et al. (2017)Hysterectomy73ResearchGermanyPASS, PCS, PVAQD
Schutze et al. (2010)Chronic pain104ClinicAustraliaTSK, PCS, PVAQD, E
Scipio (2009)Breast cancer127ResearchUnited StatesPCSB, D
Seminowicz et al. (2013)Chronic pain13ClinicUnited StatesCSQC
Sengul et al. (2011)Hip fracture or hip osteoarthritis58ResearchTurkeyTSKD
Severeijns et al. (2001)Chronic pain211ClinicNetherlandsPCSD, E
Severeijns et al. (2004)19 Musculoskeletal pain2789ResearchNetherlandsPCSD
Shelby et al. (2009)Non‐cardiac chest pain97ResearchUnited StatesPCSB, D, E
Shertzer (2004)Chronic pain18ResearchUnited StatesPASS, TSKC, D, E
Shim et al. (2017)Rheumatic disease360ResearchKoreaPCSC, D, E
Shim et al. (2018)Headache123PrimaryKoreaPCSB, C, E
Sieben et al. (2005)Low back pain247PrimaryNetherlandsTSKD, E
Smeets et al. (2007)Low back pain221ClinicNetherlandsTSK, PCLC
Spertus et al. (1999)Musculoskeletal pain73ClinicUnited StatesPASSC, D
Spickard (2011)Headache70ResearchUnited StatesPASS, PCS, FPQB, C
Strahl et al. (2000)Rheumatoid arthritis154ResearchUnited StatesPASSD, E
Sudhaus et al. (2012)Postoperative pain lumbar disc surgery36ResearchGermanyFABQD
Sullivan et al. (1998)31 Chronic back/neck pain post‐injury86ClinicCanadaPCSE
Sullivan et al. (2002a)31 Whiplash65ClinicCanadaPCSB, C, D, E
Sullivan et al. (2002b)31 Chronic pain due to work‐related injury150ClinicCanadaPCSD, E
Sullivan et al. (2005)32 Neuropathic pain80ClinicCanadaPCSD, E
Sullivan et al. (2008a)32 Neuropathic pain46ClinicCanadaPCSD
Sullivan et al. (2008b)10 Musculoskeletal pain post‐injury226ClinicCanadaTSK, PCSC, D, E
Sullivan et al. (2009a)10 Whiplash85ResearchCanadaPCSC, D, E
Sullivan et al. (2009b)33 Osteoarthritis of the knee75ResearchCanadaTSK, PCSC, D, E
Sullivan et al. (2009c)10 Chronic lower back pain due to injury90ResearchCanadaTSK, PCSC, D
Sullivan et al. (2010)10 Whiplash62ResearchCanadaTSK, PCSC, D, E
Sullivan et al. (2011)33 Osteoarthritis of the knee120ResearchCanadaTSK, PCSC, D, E
Sullivan et al. (2012)29 Fibromyalgia30ClinicCanadaTSK, PCSC, D, E
Swinkels‐Meewisse et al. (2003)Low back pain615PrimaryNetherlandsTSKD, E
Swinkels‐Meewisse et al. (2006)Low back pain96ResearchNetherlandsTSK, PCSD, E
Talaei‐Khoei et al. (2017a)34 Upper extremity musculoskeletal illness142ResearchUnited StatesPCSD, E
Talaei‐Khoei et al. (2017b)34 Upper extremity musculoskeletal illness108ResearchUnited StatesPCSB, C, D, E
Talaei‐Khoei et al. (2018)34 Upper extremity musculoskeletal illness142ResearchUnited StatesPCSD, E
Tang et al. (2010)Chronic pain133PrimaryEnglandPCSB, C, E
Taylor et al. (2017)Fibromyalgia220ResearchUnited StatesPCSD
Tengman et al. (2014)Anterior cruciate ligament injury113ResearchSwedenPCSD
Terry et al. (2016)Chronic pain574ClinicUnited StatesPASS, PCSD
Thibault et al. (2008)Musculoskeletal pain72ClinicCanadaTSK, PCSD
Thibodeau et al. (2013)Low back pain78ClinicCanadaPASSD, E
Thompson et al. (2010)Idiopathic chronic neck pain94ClinicUnited KingdomTSK, PCS, PVAQD, E
Tkachuk et al. (2012)Chronic pain276ClinicCanadaTSKD, E
Tran et al. (2017)Low back pain70ResearchUnited StatesPCSC, D
Tripp et al. (2006)Prostatitis/pelvic pain syndrome253ResearchUnited States, CanadaPCSC, D, E
Truchon et al. (2008)Low back pain disability439ResearchCanadaFABQ, SPA, PCSB, C
Tsui et al. (2012)35 Chronic pain49PrimaryUnited StatesPCSD
Tsui (2008)35 Chronic Pain49PrimaryUnited StatesPCSD
Turk et al. (2004)Fibromyalgia233ClinicUnited StatesTSKC, D, E
Turner et al. (2004)Temporomandibular disorder100ResearchUnited StatesPCS, CSQC, D, E
Uysal (2010)Chronic pain152ResearchUnited StatesTSK, PCS, PVAQB, D, E
Vaisy et al. (2015)Low back pain20ResearchGermanyTSK, PCSB, D, E
Valencia et al. (2010)Low back pain108ClinicUnited StatesFABQ, PCSD, E
Valencia et al. (2011)12 Shoulder pain due to rotator cuff injury59ResearchUnited StatesPCSB, C, D
Van Den Hout et al. (2001)Low back pain122ResearchNetherlandsFABQ, TSK, PCSD, E
Van Ryckeghem et al. (2013)Chronic pain74ResearchBelgiumPCSB, C, D, E
Van Wilgen et al. (2018)Chronic pain114ClinicNetherlandsPCSD
Vangronsveld et al. (2008)36 Whiplash42ResearchNetherlandsTSK, PCSD, E
Vangronsveld et al. (2011)36 Whiplash42ResearchNetherlandsTSK, PCSC, D, E
Vase et al. (2011)37 Phantom limb pain24ClinicDenmarkPCSD
Vase et al. (2012)37 Phantom limb pain18ResearchDenmarkPCSD
Vincent et al. (2011)Low back pain due to obesity192ClinicUnited StatesTSKE
Vlaeyen et al. (1995a)38 Low back pain136ClinicNetherlandsTSK, CSQ, PCLB, C, D
Vlaeyen et al. (1995b)38 Low back pain129ClinicNetherlandsTSK, PCLD, E
Vowles and Gross (2003)Chronic pain due to work‐related injury65ClinicUnited StatesFABQD
Vowles and McCracken (2008)Chronic pain334ClinicUnited StatesPCSC, D, E
Vowles et al. (2004)Low back pain76ResearchUnited StatesPASSA, D, E
Vranceanu and Ring (2014)Musculoskeletal pain119ResearchUnited StatesPCSD, E
Wade et al. (2012)Knee arthoplasty150ResearchUnited StatesPCSD
Walsh et al. (2003)Menstrual pain93ResearchCanadaPCSD
Wasan et al. (2005)Discogenic low back pain60ClinicUnited StatesPASSD
Waxman et al. (2008)Low back pain54ResearchCanadaTSK, PCSC, D
Weissman‐Fogel et al. (2009)Postoperative pain thoracic surgery84ResearchIsraelPCSD
Wideman et al. (2009)9 Soft tissue injury121ResearchCanadaTSK, PCSC, D
Woby et al. (2007)Chronic low back pain183ClinicEnglandTSK, CSQB, C, D, E
Wolff et al. (2008)Low back pain94ResearchUnited StatesPCSD
Wong et al. (2011)Chronic pain242ResearchChinaTSK, PVAQB, C, D, E
Wong et al. (2015)Musculoskeletal pain401ClinicChinaPASS, TSK, PCSC, E
Yakobov et al. (2014)33 Osteoarthritis of the knee116ResearchCanadaTSK, PCSD
Yoshino et al. (2015)Somatoform pain disorder34ClinicJapanPCSB, C, D
Zale et al. (2019)Chronic pain234ResearchUnited StatesPASSB, D
Zalizniak (2018)Chronic pain78ResearchUnited StatesPCSB, C, D, E
Zvolensky et al. (2001)Chronic pain68ClinicUnited StatesPASS, FPQC, D

Notes: The reference list for the studies included in the meta‐analysis can be found in the supplemental text; Superscript numbers denote samples in which effects were aggregated; Outcome Analysis codes (A = Pain‐Related Negative Affect, B = Anxiety, C=Depression, D=Pain Severity, E = Pain Disability/Interference); Catastrophizing Measures (CSQ‐Catast = Coping Strategies Questionnaire – Catastrophizing; PCS = Pain Catastrophizing Scale; PCL = Pain Cognition List; Pain Related Self Statement Scale – Catastrophizing). Fear of Pain Measures: FABQ = Fear‐Avoidance Beliefs Questionnaire; FPQ = Fear of Pain Questionnaire;; PASS=Pain Anxiety Symptoms Scale;; PRSSS‐Catast = PVAQ = Pain Vigilance and Awareness Questionnaire; SPA = Survey of Pain Attitudes; TSK = Tampa Scale for Kinesiophobia. Additionally, setting indicates data were collected in the following: Clinic = Pain Clinic, Research = Research Setting, Primary = Primary Care Clinic.

TABLE 2

Fear of pain moderator results

Moderator variableAnxietyDepressionPain intensityPain disability
Catastrophizing0.500.510.380.45
Pain catastrophizing scale (PCS)0.54 (n = 46)0.56 (n = 79)0.40 (n = 140)0.49 (n = 85)
Coping strategies questionnaire (CSQ‐Catast)0.54 (n = 5)0.62 (n = 12)0.41 (n = 17)0.56 (n = 13)
Fear‐anxiety‐avoidance0.340.410.270.39
Fear of pain questionnaire (FPQ)0.14 (n = 6)0.22 (n = 5)
Tampa scale for kinesiophobia (TSK)0.37 (n = 13)0.42 (n = 25)0.23 (n = 46)0.40 (n = 48)
Fear‐avoidance beliefs questionnaire (FABQ)0.33 (n = 6)0.37 (n = 13)
Pain anxiety symptoms scale (PASS)0.47 (n = 14)0.52 (n = 26)0.30 (n = 49)0.42 (n = 26)
Pain vigilance/hypervigilance0.340.280.290.34
Q statistic Q = 49.00, p < 0.001 Q = 49.72, p < 0.001 Q = 41.30, p < 0.001 Q = 20.99, p < 0.001
Study setting
Research0.45 (n = 58)0.45 (n = 83)0.37 (n = 153)0.47 (n = 86)
Pain clinic0.57 (n = 25)0.53 (n = 53)0.35 (n = 70)0.45 (n = 58)
Primary care clinic0.42 (n = 6)0.25 (n = 12)0.37 (n = 15)
Q statistic Q = 4.95, p = 0.03 Q = 11.90, p = 0.003 Q = 5.45, p = 0.07 Q = 5.74, p = 0.07
Study Country
United States0.44 (n = 35)0.51 (n = 70)0.37 (n = 100)0.51 (n = 59)
Canada0.56 (n = 10)0.53 (n = 19)0.37 (n = 32)0.42 (n = 23)
United Kingdom0.60 (n = 5)0.56 (n = 6)0.40 (n = 10)0.57 (n = 8)
Netherlands0.51 (n = 5)0.29 (n = 17)0.46 (n = 15)
Spain0.27 (n = 7)0.37 (n = 6)
Australia0.48 (n = 12)0.59 (n = 8)
Belgium0.35 (n = 9)0.43 (n = 5)
Sweden0.34 (n = 7)0.47 (n = 7)
Q statistic Q = 5.60, p = 0.06 Q = 1.18, p = 0.76 Q = 12.79, p = 0.08 Q = 17.13, p = 0.02

Note: Table presents results from categorical moderators of effect sizes for anxiety, depression, pain intensity, and pain disability outcomes (no heterogeneity with pain‐related negative affect outcomes). Categories were included in the analysis if they had at least 5 studies to be powered for analysis. Additionally, whilst studies were conducted in other countries than those listed above, the countries listed appeared most often in studies (and no additional countries had more than 5 studies conducted).

Details for studies included in the meta‐analysis (n = 335) Notes: The reference list for the studies included in the meta‐analysis can be found in the supplemental text; Superscript numbers denote samples in which effects were aggregated; Outcome Analysis codes (A = Pain‐Related Negative Affect, B = Anxiety, C=Depression, D=Pain Severity, E = Pain Disability/Interference); Catastrophizing Measures (CSQ‐Catast = Coping Strategies Questionnaire – Catastrophizing; PCS = Pain Catastrophizing Scale; PCL = Pain Cognition List; Pain Related Self Statement Scale – Catastrophizing). Fear of Pain Measures: FABQ = Fear‐Avoidance Beliefs Questionnaire; FPQ = Fear of Pain Questionnaire;; PASS=Pain Anxiety Symptoms Scale;; PRSSS‐Catast = PVAQ = Pain Vigilance and Awareness Questionnaire; SPA = Survey of Pain Attitudes; TSK = Tampa Scale for Kinesiophobia. Additionally, setting indicates data were collected in the following: Clinic = Pain Clinic, Research = Research Setting, Primary = Primary Care Clinic. Fear of pain moderator results Note: Table presents results from categorical moderators of effect sizes for anxiety, depression, pain intensity, and pain disability outcomes (no heterogeneity with pain‐related negative affect outcomes). Categories were included in the analysis if they had at least 5 studies to be powered for analysis. Additionally, whilst studies were conducted in other countries than those listed above, the countries listed appeared most often in studies (and no additional countries had more than 5 studies conducted).

Pain catastrophizing

Pain‐related negative affect

Five studies (3 aggregated effect estimates) were included in the meta‐analysis, totalling n = 908 participants. Random‐effects meta‐analyses revealed a pooled correlation of 0.40 (95% CI [0.24, 0.53]) for the relationship between pain catastrophizing and pain‐related negative affect, with significant heterogeneity estimates (I  = 86.5%, τ2 = 0.02, p = 0.0006). However, given the small number of studies (k < 10) included in this analysis, small study bias tests were not statistically powered. Differences by measure type were not examined due to the lack of heterogeneity.

Anxiety

A total of 74 studies (50 aggregated effect sizes) were included, accounting for n = 9470 participants. Random‐effects meta‐analyses estimated the pooled correlation of 0.50 (95% CI [0.46, 0.54]) for the relationship between pain catastrophizing and anxiety, with high heterogeneity estimates (I  = 80.3%, τ2 = 0.03, p < 0.001). Egger's test for funnel plot asymmetry as well as an examination of the contoured funnel plot indicate no small study bias (z = −0.24, p = 0.76).

Depression

A total of 139 studies (87 aggregated effect sizes) examined the relationship between pain catastrophizing and depression, totalling n = 17,623 participants. Random‐effect meta‐analyses estimated the pooled correlation to be 0.51 (95% CI [0.48, 0.54]), with high heterogeneity estimates (I  = 79.4%, τ2 = 0.03, p < 0.001). Egger's test for funnel plot asymmetry as well as examination of the contoured funnel plot indicate no small study bias (z = −0.55, p = 0.32).

Pain intensity

A total of 308 studies (152 aggregated effect sizes) were included, totalling a sample size of n = 28,875 individuals. Random‐effects meta‐analysis indicated a pooled correlation of 0.38 (95% CI [0.35, 0.31]). Heterogeneity estimates for the study were high (I  = 83.7%, τ2 = 0.03), with significance tests suggesting significant heterogeneity (p < 0.001). Examination of the contoured funnel plot and Egger's test for funnel plot asymmetry revealed evidence for small study bias (z = 1.82, p < 0.001). The trim and fill procedure indicated that 49 studies would need to be imputed to the left of the mean, corresponding to a weaker correlation between pain catastrophizing and pain intensity, to eliminate small study bias. Following the imputation procedure, the corrected pooled random effects correlation for pain catastrophizing and pain intensity is 0.29 (95% CI [0.25, 0.32]).

Pain‐related disability

A total of 159 studies (98 aggregated effect sizes) were included in the meta‐analysis, accounting for n = 22,332 individuals. Random‐effects meta‐analyses indicated a pooled correlation of 0.45 (95% CI [0.42, 0.48]), with high heterogeneity estimates (I  = 80.4%, τ2 = 0.02, p < 0.001). Egger's test for funnel plot asymmetry (z = −0.62, p = 0.22), as well as the examination of the contoured funnel plot, suggests no small study bias, and thus no studies need to be imputed to calculate the effect size.

Fear of pain

Ten studies (5 aggregated effect estimates) were included in the meta‐analysis, totalling n = 1408 participants. Random‐effects meta‐analyses revealed a pooled correlation of 0.39 (95% CI [0.3, 0.48]) for the relationship between fear of pain and pain‐related negative affect, with non‐significant heterogeneity estimates (I  = 41.4%, τ2 = 0.01, p = 0.15). Given the small number of studies included in this analysis, small study bias tests were not statistically powered. A total of 65 studies (38 aggregated effect sizes) were included, accounting for n = 8670 participants. Random‐effects meta‐analyses estimated the pooled correlation of 0.34 (95% CI [0.29, 0.40]) for the relationship between fear of pain and anxiety, with high heterogeneity estimates (I  = 79.9%, τ2 = 0.03, p < 0.001). Egger's test for funnel plot asymmetry as well as examination of the contoured funnel plot indicate no small study bias (z = 0.42, p = 0.61). A total of 114 studies (62 aggregated effect sizes) examined the relationship between fear of pain and depression, totalling n = 12,124 participants. Random‐effect meta‐analyses estimated the pooled correlation to be 0.41 (95% CI [0.37, 0.44]), with high heterogeneity estimates (I  = 67.1%, τ2 = 0.02, p < 0.001). Egger's test for funnel plot asymmetry as well as examination of the contoured funnel plot indicate no small study bias (z = 0.97, p = 0.05). A total of 245 studies (113 aggregated effect sizes) were included, totalling a sample size of n = 20,028 individuals. Random‐effects meta‐analysis indicated a pooled correlation of 0.27 (95% CI [0.24, 0.30]). Heterogeneity estimates for the study were high (I  = 78.1%, τ2 = 0.02), with significance tests suggesting significant heterogeneity (p < 0.001). Examination of the contoured funnel plot and Egger's test for funnel plot asymmetry revealed evidence for small study bias (z = 1.03, p = 0.03), and the trim and fill procedure suggests the addition of 37 studies to reduce bias, with an updated effect size of 0.19. A total of 185 studies (88 aggregated effect sizes) were included in the meta‐analysis, accounting for n = 18,787 individuals. Random‐effects meta‐analyses indicated a pooled correlation of 0.39 (95% CI [0.35, 0.42]), with high heterogeneity estimates (I  = 76.5%, τ2 = 0.02, p < 0.001). Egger's test for funnel plot asymmetry (z = −0.28, p = 0.59), as well as examination of the contoured funnel plot suggests no small study bias, and thus no studies need to be imputed to calculate the effect size.

Pain vigilance/hypervigilance

No studies examined the relationship between pain vigilance/hypervigilance and pain‐related negative affect. Nine studies (3 aggregated effect sizes) were included in the meta‐analysis, totaling n = 616 participants. Random‐effects meta analyses revealed a pooled correlation of 0.34 (95% CI [0.26, 0.41]) for the relationship between pain vigilance and anxiety, with low heterogeneity estimates (I  = 0.0%, τ2 = 0.0002, p = 0.78). However, given the small number of studies (k < 10) included in this analysis, small study bias tests were not statistically powered. A total of nine studies (4 aggregated effect sizes) examined the relationship between pain vigilance and depression, totaling n = 930 participants. Random‐effect meta‐analyses estimated the pooled correlation to be 0.28 (95% CI [0.08, 0.47]), with high heterogeneity estimates (I  = 89.9%, τ2 = 0.05, p < 0.001). However, given the small number of studies (k < 10) included in this analysis, small study bias tests were not statistically powered. A total of 21 studies (15 aggregated effect sizes) were included, totalling a sample size of n = 2331 individuals. Random‐effects meta‐analysis indicated a pooled correlation of 0.29 (95% CI [0.18, 0.38). Heterogeneity estimates for the study were high (I  = 85.5%, τ2 = 0.04), with significance tests suggesting significant heterogeneity (p < 0.001). Examination of the contoured funnel plot and Egger's test for funnel plot asymmetry did not reveal evidence of small study bias (z = 0.77, p = 0.78). A total of 13 studies (9 aggregated effect sizes) were included in the meta‐analysis, accounting for n = 1524 individuals. Random‐effects meta‐analyses indicated a pooled correlation of 0.34 (95% CI [0.24, 0.42]), with high heterogeneity estimates (I  = 63.3%, τ2 = 0.02, p = 0.005). However, given the small number of studies (k < 10) included in this analysis, small study bias tests were not statistically powered.

Moderator analyses—measure type

Differences by fear of pain measure were not examined due to the lack of heterogeneity. Between measure differences existed in the relationship between fear of pain and anxiety (Q = 49.00, p < 0.001), such that the Fear of Pain questionnaire showed the weakest z‐corrected correlation (r = 0.15), and the Pain Catastrophizing Scale showed the strongest z‐corrected correlation (r = 0.54). Significant differences existed in the relationship between fear of pain and depression (Q = 49.72, p < 0.001), where the Coping Strategies for Pain Questionnaire showed the strongest z‐corrected correlation (r = 0.62), and the Fear of Pain Questionnaire showed the weakest correlation (r = 0.22). For pain intensity, subgroup analyses suggest significant differences in the effect size of the relationship between fear of pain and pain severity by the measure used (Q = 41.30, p < 0.001). Specifically, the Tampa Scale for Kinesiophobia showed the weakest z‐corrected correlation with pain severity (r = 0.23), and the Coping Strategies for Pain Questionnaire—Catastrophizing Subscale showed the strongest z‐corrected correlation with pain severity (r = 0.40). Group differences were found for pain‐related disability (Q = 20.99, p < 0.001), such that the Coping Strategies for Pain Questionnaire – Catastrophizing Subscale showed the strongest z‐corrected correlation with pain‐related disability (r = 0.56), and the Pain Vigilance and Awareness Questionnaire showed the weakest correlation (r = 0.35).

Additional effect moderators

There was no significant effect on study year (b = 0.001, se = 0.007, p = 0.78), study country, nor study setting were examined for pain‐related negative affect due to the lack of heterogeneity. There were significant differences in the effect size estimates by study setting (Q = 4.95, p < 0.03), such that the correlation between fear of pain and anxiety was strongest in pain clinics (r = 0.57), and weakest for research conducted in research‐specific settings (r = 0.45). There were no differences in the effect size estimates by country where the study was conducted (Q = 5.60, p = 0.06), or by study year (b = 0.002, se = 0.004, p = 0.57).). There were significant differences in effect size for the relationship between fear of pain and depression by study setting (research: r = 0.44; primary care: r = 0.42; pain/rehabilitation: r = 0.53; Q = 11.90, p = 0.003). There were no differences in the effect size estimates by country where the study was conducted (Q = 1.18, p = 0.76) or by study year (b = −0.001, se = 0.003, p = 0.88). There were no significant differences in effect size by country where the study was conducted (Q = 12.79, p = 0.08), study setting (Q = 5.45, p = 0.07), nor study year (b = 0.005, se = 0.003, p = 0.07). There were significant differences in effect size by country where the study was conducted (Q = 17.13, p = 0.02), such that the largest effect sizes were found in Australia (r = 0.59) and the smallest in Spain (r = 0.37). There were no significant differences in effect size by study setting for pain‐related disability (Q = 5.74, p = 0.07), nor study year on the relationship between fear of pain and pain‐related disability (b = 0.001, se = 0.003, p = 0.79).

DISCUSSION

The current meta‐analysis examined the magnitude of the association between pain catastrophizing, fear of pain and pain vigilance with pain‐related negative affect, anxiety, depression, pain intensity, and pain‐related disability. Findings from random‐effects analyses suggest moderate‐ to large‐pooled associations between pain catastrophizing, fear of pain and pain vigilance with all outcomes (except pain intensity—small association), with minimal small study publication bias observed. Further inspection of effect size differences suggests that broadly, pain catastrophizing is more strongly associated with all outcomes than either fear of pain or pain vigilance. Findings for the relationship between fear of pain with pain‐related negative affect, anxiety and depression are novel to the current investigation and results from the current study between fear of pain and intensity and disability show association magnitudes similar to past research (Markfelder & Pauli, 2020; Zale et al., 2013). Further, the findings that the relationships between pain vigilance and outcomes suggest that either pain vigilance is not a unique construct, or the relationship regarding pain vigilance is more complex, involving potential mediation pathways as suggested in the Fear‐Avoidance Model. Findings from the current meta‐analysis are in line with the Fear‐Avoidance Model of Chronic Pain, suggesting that both pain catastrophizing and fear of pain may be antecedents for pain‐related mental health complaints and disability and less so for pain intensity, yet the cross‐sectional nature of the included studies temper the temporal precedence of the findings. Additionally, the findings also provide further support for the biopsychosocial model of chronic pain (Covic et al., 2003), by providing additional evidence for the multi‐faceted nature of pain experience and its intersection with mental health. These perspectives are in line with intervention work suggesting that cognitive‐behavioural and acceptance‐based interventions reduce fear of pain and functional impairment, with less of an impact on actual pain intensity (Lynch‐Jordan et al., 2014), providing further evidence for the importance of both pain catastrophizing and fear of pain (Burns et al., 2015; Craner et al., 2016; Riddle et al., 2010). Whilst the current study found effect size differences between pain catastrophizing, fear of pain and pain vigilance with outcomes, such that, generally, pain catastrophizing was more strongly associated with clinical outcomes, this is an area of study that warrants further exploration. A review of the literature suggests that pain catastrophizing, fear of pain and pain vigilance are important to understanding pain and functional outcomes, with some research suggesting that fear of pain may, in fact, be more important (Andersen et al., 2016; George et al., 2006; Hirsh et al., 2008; Niederstrasser et al., 2015; Swinkels‐Meewisse et al., 2006). There is also literature to support that the relationship between pain vigilance and pain outcomes may not be direct, but rather may be mediated by pain catastrophizing and fear (Crombez et al., 2004). This may be partially explained by the myriad of studies across domains (i.e. yoga, CBT, physical activity) that show reductions in pain catastrophizing, providing evidence that this construct may, in fact, be a non‐specific change factor associated with pain and function outcomes (Ljótsson et al., 2013). Yet, consistently, pain catastrophizing, fear of pain and pain vigilance are equally (and not strongly) associated with pain severity, highlighting the relative importance of functional and mental health outcomes in understanding pain experience. Further research to highlight effect size and thus clinical differences in pain catastrophizing vs. fear of pain is warranted. Measure moderator analyses suggest differences in the magnitude of the association between pain catastrophizing and fear of pain with the outcome by the measure used. Across all outcomes, pain catastrophizing outcomes showed stronger associations than fear of pain outcomes. Within the pain catastrophizing construct, there were slight differences in magnitude between the Coping Strategies Questionnaire—Catastrophizing Subscale and the Pain Catastrophizing Scale (PCS), but overall, these measures were most strongly associated with all outcomes. Additionally, an inspection of the effect sizes of both of these measures shows similar magnitude suggesting they may tap into the same construct. In terms of fear of pain, however, even greater differences in magnitude existed between measures and outcomes. For instance, for anxiety and depression outcomes, the Fear of Pain Questionnaire (FPQ) showed the smallest association. For pain intensity, the Tampa Scale for Kinesiophobia showed the smallest association, and for pain‐related disability, the Pain Vigilance and Awareness Questionnaire. These results are important to highlight because it suggests that for pain catastrophizing, there may be greater consistency in the definition and measure of the construct than for fear of pain, where there may not be strong construct validity across the measures included in this meta‐analysis. Given this, there are a number of plausible explanations that require future research. First, it is possible that fear of pain may be, in fact, a multi‐faceted construct that is comprised of fear, anxiety, and worry in response to pain as well as difficulty coping with these experiences. Future factor‐analytic work, incorporating all fear of pain measures, may help answer this question. Second, it is also possible that some of the measures included in the meta‐analysis measure the latent fear of pain construct whilst other measures are similar, yet distinct constructs. Future research examining the validity of these measures (and their correlations with one another) will be important, and interpreting findings with these measures with caution is important. Additionally, whilst pain catastrophizing and fear of pain are similar constructs it appears there are some fundamental differences in the types of questions included in each measure which translates to differential associations with outcomes. For instance, the FPQ asks individuals to rate how fearful they are of experiencing pain related to a number of different circumstances (McNeil et al., 2018), whilst the PCS assesses fear and anxiety responses to the existing experience of pain (McWilliams et al., 2015). Whilst both of these questionnaires assess fear constructs as they relate to pain, there may be fundamental differences in the actually measured latent construct. Given the lack of consistency observed across studies in the measures used, it will be important to conduct future factor analytic and measurement invariance work on a wide range of fear of pain measures. The findings from the current study also provide evidence for the correlation between fear of pain and outcomes, and clinically and in research settings, it may be important to utilize a measure that appears to capture associations as close to the correlation as possible to eliminate bias. However, this is purely speculative and future research is needed. Additional differences emerged as a function of other moderators, including study setting and study country. Interestingly, across the board, the relationship between fear of pain and outcomes was largest in pain clinics and smallest in primary care clinics. First, this potentially speaks to the types of patients that present to each clinic and subsequent study, suggesting that those that go to a pain clinic are generally more severe in their presentations of pain and associated conditions. Because of the more severe pain presentations, fear of pain may be a more salient vulnerability factor for the onset, maintenance, and exacerbation of pain. However, further research is needed to understand the extent to which fear of pain is a ubiquitous vulnerability factor, or specific to certain populations. In general, the results from the current study confirm and extend past findings, and have important clinical implications. Previous research examining cognitive‐behaviour therapy, graded pain exposure, and acceptance and commitment therapy for the treatment of chronic pain found that reductions in pain catastrophizing, fear of pain and fear of movement drove treatment and quality of life improvements (Bailey et al., 2010; Darnall et al., 2014; Schemer et al., 2019) and decreased pain‐related disability. Further work suggests that reductions in pain vigilance following reductions in pain‐related fear and catastrophizing, and was associated with increased physical activity at 1‐year follow‐up (Vlaeyen et al., 2002). The current study suggests that pain catastrophizing, fear of pain and pain vigilance may also be driving pain‐related negative affect and associated mental health concerns and that reductions in fear of pain may also improve mental health in pain patients. Whilst this is currently speculative, focusing and improving our interventions that target fear of pain constructs may be increasingly efficacious and effective. The current study is not without limitations. First, our meta‐analysis focused on cross‐sectional relations between pain catastrophizing, fear of pain and pain vigilance with negative affect, anxiety, depression, pain severity and pain‐related disability, limiting conclusions that can be made regarding both constructs as a target for change to improve pain outcomes. This limitation is also in line with the observed effect size differences for pain catastrophizing, fear of pain and pain vigilance with outcomes, as it would be important to further understand if and how these differences may be clinically important for treatment and other functional outcomes. Second, given the heterogeneity of studies included due to outcomes selected, pain characteristics were not included as moderators of associations. Whilst past work suggests that these characteristics did not moderate fear of pain‐disability associations (Zale et al., 2013), it would have been important to replicate and extend past findings. Third, given the small number of studies looking at fear of pain‐pain‐related negative affect relations, we were not able to examine moderator analyses of these relations. Relatedly, there was significant heterogeneity in the moderator variables (i.e. country) for the other outcomes, but given that studies were largely concentrated in a few categories, not all moderator categories could be examined to determine if relations between fear of pain and outcomes differed. Future research should seek to replicate and extend the current findings as research regarding fear of pain continues to evolve. Finally, the current study focused on self‐report measures of the Fear‐Avoidance Model components. Whilst these are the most widely used measures of fear of pain, there is emerging evidence that suggests behavioural paradigms may capture different aspects of fear of pain, including pain‐specific attention bias (Boselie et al., 2019), that may be relevant to its relation to pain outcomes. Future research is needed. Overall, the current meta‐analysis replicates and extends past work to suggest that pain catastrophizing, fear of pain and pain vigilance are positively, and moderately associated with psychological outcomes (i.e. pain‐related negative affect, anxiety, depression) and pain outcomes (pain intensity and pain‐related disability). Differences in the strengths of the associations appear to depend on the type of self‐report tool used to assess fear of pain, as well as where the data were collected. The results of this study continue to highlight the importance of fear of pain in pain‐related outcomes and suggest that improving interventions targeting fear of pain may improve both psychological and pain‐related function and quality of life for those with pain conditions. Note: References for the studies included in the meta‐analysis (n = 335) are provided in the supplemental document.

CONFLICT OF INTEREST

All authors have read and approved the manuscript. The authors have no conflicts of interest or disclosures to report. Appendix S1 Click here for additional data file.
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Review 9.  Catastrophizing, pain, and functional outcomes for children with chronic pain: a meta-analytic review.

Authors:  Megan M Miller; Samantha M Meints; Adam T Hirsh
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Review 1.  A meta-analysis of the associations of elements of the fear-avoidance model of chronic pain with negative affect, depression, anxiety, pain-related disability and pain intensity.

Authors:  Andrew H Rogers; Samantha G Farris
Journal:  Eur J Pain       Date:  2022-07-07       Impact factor: 3.651

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