A meta-analysis of fear-avoidance and pain intensity: The paradox of chronic pain

2016 ◽  
Vol 13 (1) ◽  
pp. 43-58 ◽  
Author(s):  
Emily B. Kroska

AbstractBackgroundThe fear-avoidance model of chronic pain has established avoidance as a predictor of negative outcomes in chronic pain patients. Avoidance, or deliberate attempts to suppress or prevent unwanted experiences (e.g., pain), has been studied extensively, with multiple reviews implicating this behavior as a predictor of disability, physical disuse, and depression. Despite hundreds of studies examining the associations between different components of this model (i.e., catastrophizing, fear, avoidance, depression), the association between fear-avoidance and pain intensity has remained unclear. The present study seeks to clarify this association across samples.MethodThe present analyses synthesize the literature (articles from PsycInfo, PubMed, and ProQuest) to determine if fear-avoidance and pain intensity are consistently correlated across studies, samples, and measures. Eligible studies measured pain intensity and fear-avoidance cross-sectionally in chronic pain patients. The search resulted in 118 studies eligible for inclusion. A random-effects model was used to estimate the weighted mean effect size. Comprehensive Meta-Analysis software was used for all analyses. Moderation analyses elucidate the variables that affect the strength of this association. Meta-regression and meta-ANOVA analyses were conducted to examine moderating variables. Moderator variables include demographic characteristics, pain characteristics, study characteristics, and national cultural characteristics (using Hofstede’s cultural dimensions). Publication bias was examined using the funnel plot and the p-curve.ResultsResults indicate a small-to-moderate positive association between fear-avoidance and pain intensity. The results were stable across characteristics of the sample, including mean age, gender distribution, marital status, and duration of pain. Moderation analyses indicate that the measures utilized and cultural differences affect the strength of this association. Weaker effect sizes were observed for studies that utilized measures of experiential avoidance when compared to studies that utilized pain-specific fear-avoidance measures. Studies that utilized multiple measures of fear-avoidance had stronger effect sizes than studies that utilized a single measure of fear-avoidance. Three of Hofstede’s cultural dimensions moderated the association, including Power Distance Index, Individualism versus Collectivism, and Indulgence versus Restraint.ConclusionsThe present meta-analysis synthesizes the results from studies examining the association between fear-avoidance and pain intensity among individuals with chronic pain. The positive association indicates that those with increased fear-avoidance have higher pain intensity, and those with higher pain intensity have increased fear-avoidance. Findings indicate that cultural differences and measurement instruments are important to consider in understanding the variables that affect this association. The significant cultural variations may indicate that it is important to consider the function of avoidance behavior in different cultures in an effort to better understand each patient’s cultural beliefs, as well as how these beliefs are related to pain and associated coping strategies.ImplicationsThe results from the current meta-analysis can be used to inform interventions for patients with chronic pain. In particular, those with more intense pain or increased fear-avoidance should be targeted for prevention and intervention work. Within the intervention itself, avoidance should be undermined and established as an ineffective strategy to manage pain in an effort to prevent disability, depression, and physical deconditioning.

Pain Medicine ◽  
2020 ◽  
Vol 21 (12) ◽  
pp. 3691-3699
Author(s):  
Asimina Lazaridou ◽  
Myrella Paschali ◽  
Robert R Edwards ◽  
Christopher Gilligan

Abstract Objective The objective was to perform a systematic review and meta-analysis of the literature on the effects of buprenorphine on chronic pain outcomes (i.e., patient-reported pain intensity) in patients with and without opioid use disorder (OUD). Design Ovid/Medline, PubMed, Embase, and the Cochrane Library were searched for studies that explored the effectiveness (in reducing pain) of buprenorphine treatment for chronic pain patients with and without a history of OUD. Randomized controlled trials and observational studies were included in the review. Methods Two separate searches were conducted to identify buprenorphine trials that included chronic pain patients either with or without OUD. Five studies used validated pain report measures and included a chronic pain population with OUD. Nine studies used validated report measures and included chronic pain patients without OUD. Meta-analysis was performed using the R, version 3.2.2, Metafor package, version 1.9–7. Results The meta-analysis revealed that buprenorphine has a beneficial effect on pain intensity overall, with a small mean effect size in patients with comorbid chronic pain and OUD and a moderate- to large-sized effect in chronic pain patients without OUD. Conclusions Our results indicate that buprenorphine is modestly beneficial in reducing pain intensity in patients without OUD. Although informative, these findings should be carefully interpreted due to the small amount of data available and the variation in study designs.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A265-A266
Author(s):  
Yishi Sun ◽  
Isabelle Laksono ◽  
Janannii Selvanathan ◽  
Aparna Saripella ◽  
Mahesh Nagappa ◽  
...  

Abstract Introduction In individuals with chronic pain, sleep disturbances have been suggested to increase suffering, perception of pain, and to negatively affect long-term prognosis. This systematic review and meta-analysis aims to determine the pooled prevalence of sleep disturbances in chronic non-cancer pain patients with no other sleep disorders, using the patient-rated questionnaires Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Methods Multiple databases were searched for studies reporting the prevalence of sleep disturbances in chronic pain patients. Chronic pain was defined as pain >3 months. Comorbid sleep disorders such as sleep disordered breathing and restless leg syndrome were excluded. Sleep disturbances were defined using the PSQI cutoff of > 5 (poor sleep quality) and ISI ≥ 8 (subthreshold to clinical insomnia). The meta-analysis was conducted to examine the pooled prevalence of PSQI and ISI data using the inverse-variance random-effects model and to examine mean differences in PSQI scores. Results The systematic search resulted in 25,486 articles and 20 were included for analysis. In 12 studies using PSQI, the pooled prevalence of sleep disturbance was 75.3% among 3,597 chronic pain patients (mean age 53 ± 12 years; 74% female). In eight studies using ISI, the pooled prevalence was 72.9% among 2,578 chronic pain patients (mean age 63 ± 12 years; 57% female). The meta-analysis showed a significant mean difference of 2.75 (p < 0.001) in the global PSQI score between the chronic pain group versus the non-chronic pain group. The meta-analysis also showed a significant mean difference in the scores of four of seven PSQI components: sleep latency, sleep efficiency, sleep duration, and sleep disturbances (p < 0.05). Conclusion In chronic pain patients, the pooled prevalence of sleep disturbances as measured by PSQI (75.3%) and ISI (72.9%) studies was much higher than those reported for the general population. The relatively high prevalence of sleep disturbances in chronic pain patients emphasizes the importance of further characterizing the relationship between sleep and chronic pain. Support (if any):


2016 ◽  
Vol 33 (4) ◽  
pp. 645-653
Author(s):  
Lucas de Francisco CARVALHO ◽  
Ricardo PRIMI ◽  
Cláudio Garcia CAPITÃO

Abstract In Brazil, studies investigating the personality characteristics of chronic pain patients are scarce. The present study aimed to evaluate the personality characteristics of patients with chronic pain and to compare them with those of patients without this condition. To this end, the Personality Disorders Dimensional Inventory and the Hypochondriasis scale of the Brazilian version of the Minnesota Multiphasic Personality Inventory were administered. Two different statistical analyses were carried out: the t - test to determine the differences between the scores for the two groups and the logistic regression analysis to examine the predictive power of the scales for the diagnosis of chronic pain. The results revealed significant differences (p < 0.05) among the Histrionic, Hypochondriasis, and Sadistic scales as predictors for the groups studied, with larger effect sizes on the Histrionic and Hypochondriasis scales. The authors suggest that the use of these scales in a clinical context may provide important information for health professionals.


2007 ◽  
Vol 56 (1) ◽  
pp. 32-37 ◽  
Author(s):  
A. Koch ◽  
K. Zacharowski ◽  
O. Boehm ◽  
M. Stevens ◽  
P. Lipfert ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 432-432
Author(s):  
Gillian Fennell ◽  
Abby Pui Wang Yip ◽  
M Cary Reid ◽  
Susan Enguidanos ◽  
Elizabeth Zelinski ◽  
...  

Abstract As chronic conditions continue to rise in the US, associated pain symptoms are rising as well, affecting 65% of those 65 and older. In an attempt to help patients lessen the burdensome physical/psychological effects of chronic pain, researchers have investigated the effectiveness of therapeutic interventions with pain acceptance-based models yielding the most promising effect sizes. However, these interventions do not explicitly account for how patients perceive their future. Qualitative work has shown that chronic pain patients with positive and expansive views of their futures report fewer pain-related anxiety and depression symptoms, and are more likely to engage in long-term (and often more effective) treatment regiments. This study aims to investigate whether pain acceptance scores predict future time perspective to enhance treatment effects of chronic pain interventions. Multivariate linear regression analyses were conducted with a sample of 148 non-cancer patients age 45 and older with chronic pain, i.e. pain lasting three or more months. Pain duration, neuroticism, sex, race, income, and age were included in the model to explore potential mediating or moderating effects. A significant positive association was found between pain acceptance and future time perspective (r=.42, p&lt;.001, r2=.17). Additionally, with the inclusion of all covariates, our model significantly explained 24.1% of the variance in future time perspective in the sample, F(7,132)=5.99, p&lt;.001. With an established association between these two psychological constructs, strategies to bolster future time perspective can easily be integrated into pain acceptance interventions for older chronic pain patients, hopefully pushing effect sizes past the ‘moderate’ level.


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