Skip to content
Publicly Available Published by De Gruyter June 17, 2019

Acceptance: a factor to consider in persistent pain after neck trauma

  • Sophia Åkerblom EMAIL logo , Johan Larsson , Eva-Maj Malmström , Elisabeth Persson and Hans Westergren

Abstract

Background and aims

Studies on the interaction between acceptance and pain-related processes after neck trauma are to our knowledge sparse and such treatment strategies are rarely incorporated in management and treatment of posttraumatic neck pain. Thus, the aim of the present study is to investigate how acceptance relates to persistent pain in patients after neck trauma, when controlling for the influence of other psychological factors, trauma characteristics and demographic variables.

Methods

Consecutive patients with persistent pain and disability after neck trauma (n = 565) were assessed by a multi-professional team at a specialized pain rehabilitation clinic. Separate regression analyses were conducted with three outcomes: pain distribution, pain interference, and pain severity. Predictors were age, sex, education, time since trauma, type of trauma, anxiety, depression, and acceptance.

Results

Acceptance was the only factor associated with all outcomes, and patients with lower acceptance displayed more widespread pain and greater interference and severity of pain. The results also showed that higher depression was associated with worse pain interference and severity, whilst anxiety only mattered significantly for pain severity and not for pain interference. Female sex was related to more widespread pain and greater pain interference.

Conclusions

Overall acceptance stood out as the most important factor for the different outcomes and lower acceptance was associated with more widespread pain distribution and greater pain interference and severity.

Implications

The findings of this study add to a growing body of literature confirming that the development of chronicity after neck trauma should be understood as a multidimensional process, best described by a biopsychosocial model. The results also suggest that psychological factors and especially acceptance might be important processes with implications for enhanced recovery after neck trauma.

1 Introduction

The incidence of neck trauma is reported to be 235/100,000/year [1] and the rate of failed recovery has been estimated to be as high as 50%, with approximately 30% having moderate to severe pain and disability 1 year after a trauma [2]. Even though not all neck trauma is caused by rear-end collisions and the whiplash mechanism, this is the most common type of trauma in patients with persistent pain and dysfunction. Neck trauma can also occur in other circumstances, such as other traffic accidents, sports-related accidents, direct head or neck traumas, falls, and bicycle accidents [1], [3].

During the last few decades, much effort has been put into understanding the traumatic and posttraumatic mechanisms leading to remission or persistent pain and disability after neck trauma [4]. Prognostic factors that have been investigated include parameters of the accident, biological factors and/or factors from clinical assessment, self-reported symptoms or interference at inception, treatment-related factors, pre-injury history, psychological and behavioral factors, medicolegal context and other social influences, and demographics [5].

Poor recovery after neck trauma has consistently been associated with moderate to high initial neck pain intensity, neck-related dysfunction and psychological factors [6]. In recent years, there has been more interest in psychological aspects of neck trauma, reflecting a deeper understanding of the multidimensional nature of pain and disability, and emerging research points to the importance of such factors [7], [8], [9]. “Psychological factors” is an umbrella term for several processes, including the individual’s pre-trauma psychological history [10], acute reaction to the trauma, and the psychological mechanisms affecting the recovery after the trauma. Symptoms of posttraumatic stress [5], [9], [11], [12], pain catastrophizing [2], [5], [12], and to a lesser extent low self-efficacy [9] have consistently been associated with delayed recovery [6]. Fear-avoidance beliefs [2], [12], perceived injustice [13], passive coping, and helplessness [2] have also been described as obstacles in the healing and rehabilitation processes. Furthermore, some studies have connected anxiety [14] and depression [14], [15] to the lack of recovery after neck trauma.

Acceptance is a psychological factor that has rarely been incorporated in management and treatment of posttraumatic neck pain [7], [8], [16], even though several studies have demonstrated associations between acceptance and improved outcomes in more diverse chronic pain samples [17], [18], [19], [20], [21]. Three recent studies have also linked acceptance strategies to improved pain-related functioning and life satisfaction after neck trauma [18], [22], [23], but studies on the interaction between acceptance and pain-related processes in such populations are to our knowledge still sparse [7], [8], [16]. Pain-related acceptance can be defined as the conscious embrace of pain, when attempts to avoid, control, or reduce pain impact negatively on overall functioning. Such strategies are focused on behaving in line with chosen goals even in the presence of challenging or painful experiences. Acceptance is sometimes referred to as openness or willingness [20], [24] and it is an important process in Acceptance and Commitment Therapy [25], [26], [27], an empirically-supported treatment for chronic pain [26]. The aim of the present study is to investigate how acceptance relates to persistent pain in patients after neck trauma, when controlling for the influence of other psychological factors, trauma characteristics, and demographic variables. Based on previous studies, we predict that acceptance will function as a predictor over and above the influence of the other predictors for all outcomes [18], [22].

2 Materials and methods

2.1 Patients and procedure

The patients were 565 adults with persistent pain after neck trauma, assessed by a team specialized in posttraumatic neck pain at the Pain Rehabilitation Unit, Skåne University Hospital between 2010 and 2014. The patients were identified using ICD-10 codes M53.0 (Cervicocranial syndrome), M53.1 (Cervicobrachial syndrome), S13.4 (Sprain of ligaments of cervical spine), and T91.8 (Sequelae of other specified injuries of neck and trunk). Each record was reviewed by a nurse, who collected the data and ensured that at least one trauma had been reported in the medical history. Data were cross-sectional and collected from the medical records (trauma characteristics, demographic factors, and pain distribution) and self-report measures from the Swedish Quality Registry for Pain rehabilitation [28]. This sample has been described in a previous study focusing on sex-based differences in pain distribution and includes patients who were initially assessed by a multi-professional pain rehabilitation team (physician, psychologist, and physiotherapist) [3].

2.2 Trauma characteristics and demographic factors

Data on age, sex, education, time since trauma (in months), and type of trauma, which was categorized into neck traumas caused by motor vehicle collisions and other neck traumas, were investigated. The patients in the motor vehicle collision group were categorized as occupants of either the struck or the striking vehicle. Cases where information about the type of motor vehicle collision could not be found in the medical records were registered as having unknown vehicle status. Some patients had been exposed to more than one trauma. In these cases, we recorded the trauma that the patient considered to have initiated their symptoms.

2.3 Psychological factors

2.3.1 Anxiety and depression

The Hospital Anxiety and Depression Scale (HADS) is a 14-item measure of anxiety (7 items) and depression (7 items) symptoms over the course of a week, designed for use with patients in medical settings [29]. Items are rated on a four-point scale (0=not all; 3=very often). Scores on the anxiety and depression subscales range from 0 to 21 with higher scores indicating greater severity. The cutoff points for anxiety and depression are 0–7 for non-cases, 8–10 for doubtful cases and 11–21 for cases [29]. Consistent with the English original, the Swedish version used in this study has been shown to have excellent internal consistency for the total (α=0.90), anxiety (α=0.84) and depression scales (α=0.82) and to correlate significantly with other measures of anxiety and depression [30].

2.3.2 Acceptance

The eight-item Chronic Pain Acceptance Questionnaire (CPAQ-8) is a measure of acceptance for people with chronic pain [24]. The items are rated on a seven-point scale (0=never true; 6=always true), and can be summed to a total score or two subscale scores. The total score, ranging from 0 to 48, was used in this study and a higher score indicates greater acceptance of pain. The original English-language CPAQ-8 has good internal reliability for the total and subscales (α=0.77–0.89), a stable factor structure, and correlates significantly and moderately with measures of pain-related functioning [24], [31]. The Swedish version of the CPAQ-8 used in this study has satisfactory internal reliability (α=0.80) and shows similar relationships to measures of pain functioning as the English original [32].

2.4 Persistent pain

In order to obtain a broad picture of persistent pain three separate outcome measures were used: pain distribution, pain interference, and pain severity.

2.4.1 Pain distribution

Pain distribution patterns were based on clinical assessments and taken from the medical records of all patients. The determination of the category of each patient’s pain distribution was established in consensus by the physician and physiotherapist in the assessment team as local, regional, or widespread. All patients reported neck pain and disability, which also was the cause for referral [3].

  1. Local pain was defined as pain in a specific body area (i.e. part of the neck/shoulder area), including muscle and joint pain, with no referred or radiating pain.

  2. Regional pain was defined as pain in a larger area, including pain in the neck, upper extremities, shoulders, and head, allowing for trigger points, referred pain, and radiating pain.

  3. Widespread pain was defined as pain in all quadrants of the body with at least 11 out of 18 tender points in accordance with the 1990 ACR criteria for fibromyalgia [33].

2.4.2 Pain interference and pain severity

The Multidimensional Pain Inventory (MPI) (version 2) consists of three parts and 61 items. Each item is rated on a seven-point scale (0=never; 6=very often). Only the subscales pain interference and pain severity ranging from 0 to 6 were used and the mean score was calculated for each scale. The 11-item pain interference subscale measures pain-related life interference including interference with family and marital functioning, work and work-related activities, as well as social and recreational activities. The three-item pain severity subscale measures severity of pain and associated suffering. Higher scores indicate greater levels of dysfunction. The MPI has satisfactory psychometric properties (α=0.72–0.90) [34]. In this study we used a Swedish version [35].

2.5 Statistical analysis

We conducted separate regression analyses with pain distribution (local, regional, or widespread), pain interference, and pain severity as outcomes. Predictors were age, sex, education (sub-grouped into university or lower than university), time since trauma (in months), type of trauma (sub-grouped into in struck vehicle of collision, in striking vehicle of collision, and other trauma), anxiety, depression, and acceptance. Type of trauma was dummy-coded with in struck vehicle as reference category because it represented the largest category and since we were interested in comparing this category to the two other groups.

For pain distribution, an ordinal logistic regression was used, whereas for pain interference and pain severity, we used ordinary least squares linear regressions. Likelihood ratio tests were used to assess the overall significance of the models, whereas Wald and t-tests were used in the null hypothesis tests of individual predictors.

For the ordinal logistic regression, we verified the proportional odds assumption in addition to checking for multicollinearity, leverage, and residuals. For the remaining two linear regressions, we checked the assumptions of homeoscedasticity and normality of the residuals in addition to also testing for leverage and collinearity. None of the tests signaled any remarkable deviations from the assumptions. R was used for all analyses [36].

3 Results

3.1 Descriptive statistics and missing data

Descriptive statistics are provided for all continuous variables in Table 1. The total percentage of missing variables was 1.8%. We used a multiple imputation method from the RMS package [37] for R to impute missing data. The error associated with the imputation was incorporated into the following analyses.

Table 1:

Descriptive statistics for all the continuous variables in the sample.

n Mean SD Median 1st quartile 3rd quartile
Age 565 39.6 11.5 39.0 30.0 48.0
Time since trauma in months 565 58.9 70.9 26.0 12.0 84.0
Anxiety 553 10.0 5.0 10.0 6.0 14.0
Depression 555 9.4 4.9 9.0 6.0 13.0
Acceptance 474 18.4 8.8 18.0 12.0 25.0
Pain interference 556 4.6 1.0 4.7 4.0 5.4
Pain severity 559 4.7 0.9 4.7 4.0 5.3
  1. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale (0–7 for non-cases; 8–10 for doubtful cases; and 11–21 for cases); acceptance with the Chronic Pain Acceptance Questionnaire-8 (min=0; max=48); pain interference and pain severity with the Multidimensional Pain Inventory (min=0; max=6).

The distribution of the patients’ age and time since trauma (in months) were concentrated towards the lower end of the scales (right-skewed), particularly time since trauma, whilst pain interference and severity exhibited the opposite pattern (left-skewed). There was considerable variation in the number of months (time) since the trauma with 12 and 84 months at the first and third quartiles, respectively. About two-thirds of the sample were women and one-third had studied at university level. The median age of the sample was 39 years (Table 1). Most of the patients (50%) were diagnosed with regional pain whilst local pain was the least common category of pain distribution (11%). Approximately 78% of the patients had been in a motor vehicle collision. Descriptive statistics for type of trauma and pain distribution are summarized in Table 2.

Table 2:

Counts of type of trauma and pain distribution with within-rows percentages.

Pain distribution In struck vehicle
In striking vehicle
Other trauma
Total
n n n n
Local 32 (51%) 14 (22%) 17 (27%) 63 (100%)
Regional 143 (50%) 84 (30%) 57 (20%) 284 (100%)
Widespread 108 (50%) 57 (26%) 53 (24%) 218 (100%)
Total 283 (50%) 155 (27%) 127 (22%) 565 (100%)

Figure 1 outlines pairwise Pearson correlations between some of the variables under study. Strong relationships were seen between depression and anxiety, depression and pain interference, pain severity and pain interference as well as acceptance and pain interference. Meanwhile, age and months since trauma both had weak correlations with the other variables.

Figure 1: 
            Pearson correlations for the variables under study.
Figure 1:

Pearson correlations for the variables under study.

3.2 Pain distribution

We tested the relationship of trauma-related, demographic, and psychological factors on pain distribution. The overall fit of the model was significant, LR(9)=51, p<0.001 with a Nagelkerke’s R2 of 0.1, which roughly corresponds to 10% of the variance in pain distribution among the patients being explained by the model. Females were approximately twice as likely to be diagnosed with a more widespread pain distribution. Lower acceptance indicated more widespread pain and there was a significant association between longer time since the trauma and increased pain distribution. The other predictors did not reach significance. Details of the predictor variables and their odds ratios have been tabulated in Table 3.

Table 3:

Odds ratios for the investigated trauma characteristics, demographic and psychological factors using pain distribution as outcome.

Predictor variables Odds ratio
Z-Score p-Value
Estimate Lower 0.95 Upper 0.95
Age 1.000 0.986 1.015 0.054 0.957
Sex (female vs. male) 2.288 1.595 3.281 4.500 <0.001
Education (university vs. lower) 1.064 0.731 1.550 0.325 0.745
Time since trauma in months 1.003 1.001 1.006 2.561 0.010
Type of trauma (in struck vs. striking vehicle) 0.994 0.675 1.464 −0.030 0.976
Type of trauma (other vs. in struck vehicle) 1.089 0.713 1.666 0.395 0.693
Anxiety 1.038 0.993 1.085 1.642 0.101
Depression 1.027 0.978 1.078 1.077 0.282
Acceptance 0.971 0.948 0.994 −2.430 0.015
  1. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale; acceptance with the Chronic Pain Acceptance Questionnaire-8. Pain distribution was established by clinical assessment. Lower and upper 0.95 represent confidence intervals for the odds ratio at the 95% level. Hypothesis tests are based on the Wald Test.

3.3 Pain interference

We tested the relationship of trauma-related, demographic, and psychological factors on pain interference. The overall model fit was significant, LR(9)=376, p<0.001 with a R2 of 0.49, so the model explained 49% of the overall variance in pain interference. Patients with either more symptoms of depression or less acceptance of their pain were more likely to have greater pain interference. Additionally, female sex was associated with greater pain interference. The other predictors did not reach statistical significance. Details of the predictor variables and their coefficients are given in Table 4.

Table 4:

Coefficients for the investigated trauma characteristics, demographic and psychological factors using pain interference as outcome.

Predictor variables Coefficients
t-Score p-Value
Estimate Lower 0.95 Upper 0.95
Age 0.004 −10.001 0.010 1.477 0.140
Sex (female vs. male) 0.241 0.106 0.375 3.582 <0.001
Education (university vs. lower) −0.060 −0.201 0.081 −0.861 0.390
Time since trauma in months 0.001 −0.000 0.001 1.202 0.230
Type of trauma (in struck vs. striking vehicle) −0.001 −0.147 0.144 −0.020 0.984
Type of trauma (other vs. in struck vehicle) 0.005 −0.151 0.161 0.064 0.949
Anxiety 0.007 −0.009 0.024 0.888 0.375
Depression 0.080 0.062 0.099 8.926 <0.001
Acceptance −0.042 −0.051 −0.033 −9.831 <0.001
  1. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale; acceptance with the Chronic Pain Acceptance Questionnaire-8; pain interference with the Multidimensional Pain Inventory. Lower and upper 0.95 represent confidence intervals for the coefficient at the 95% level.

3.4 Pain severity

We tested the relationship of trauma-related, demographic, and psychological factors on pain severity. The model fit was significant, LR(9)=141, p<0.001 with a R2 of 0.22, in other words the model explained 22% of the variance in pain severity. Patients with either low acceptance or high anxiety or depression were more likely to have worse pain severity. In addition to this, there was an association between lower education level and greater pain severity. The other predictors did not reach significance. Details of the predictor variables and their coefficients are given in Table 5.

Table 5:

Coefficients for the investigated trauma characteristics, demographic and psychological factors using pain severity as outcome.

Predictor variables Coefficients
t-Score p-Value
Estimate Lower 0.95 Upper 0.95
Age −0.001 −0.007 0.005 −0.366 0.714
Sex (female vs. male) 0.094 −0.049 0.238 1.297 0.195
Education (university vs. lower) −0.174 −0.323 −0.024 −2.301 0.022
Time since trauma in months −0.001 −0.002 0.000 −1.053 0.293
Type of trauma (in struck vs. striking vehicle) 0.122 −0.035 0.278 1.534 0.126
Type of trauma (other vs. in struck vehicle) 0.125 −0.044 0.294 1.457 0.146
Anxiety 0.024 0.006 0.042 2.701 0.007
Depression 0.028 0.008 0.048 2.852 0.005
Acceptance −0.023 −0.033 −0.013 −5.006 <0.001
  1. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale; acceptance with the Chronic Pain Acceptance Questionnaire-8; pain severity with the Multidimensional Pain Inventory. Lower and upper 0.95 represent confidence intervals for the coefficient at the 95% level.

Finally, we note that the type of trauma and age was of little importance for all studied outcomes.

4 Discussion

This study investigated how acceptance relates to persistent pain in patients after neck trauma, when controlling for the influence of other psychological factors, trauma characteristics, and demographic variables. Generally, our models explained much of the variability among individuals in pain interference, but less so for pain severity and the least for pain distribution. In accordance with our hypothesis, acceptance was the only factor associated with all outcomes, and lower acceptance was associated with more widespread pain distribution and greater interference and severity of pain.

Overall acceptance stood out as the most important factor across the different outcomes. For instance, a 10-point decrease in acceptance scores resulted in an estimated increase of pain interference of 0.41 and increase of pain severity of 0.22. These results are in line with those of recent studies that have highlighted the protective role of acceptance in people with chronic pain and traumatic experiences [38], [39], [40]. The results also agree with studies that have connected acceptance strategies to successful management after neck trauma [18], [22], [23] and to various treatment outcomes in persistent pain populations [20], [21], [41], [42], [43].

In the present study, higher depression was associated with both worse pain interference and pain severity, whilst anxiety only mattered significantly for pain severity and not pain interference. For instance, patients who could be considered cases in terms of anxiety and depression [29] were estimated to have at least 0.10 and 0.11 higher scores, respectively, on pain severity compared to non-cases. These results add to literature which connects depression [14], [15] and anxiety [14] to the lack of recovery after neck trauma.

Management and treatment of whiplash-related disorders have, to a large extent, focused on somatic factors [7], [8]. Calls have been made for changes within the current treatment approaches for acute and chronic whiplash-associated disorders to include treatment strategies with a wider scope, also reflecting psychological and behavioral factors [7], [8]. Identification of such factors could be valuable since they can often be reversed by intervention and therefore might assist in the rehabilitation process [2], [12]. In line with this, emerging research points to the importance of acceptance and other psychological factors in failed recovery after neck trauma [7]. Still, few studies have focused on psychological interventions for whiplash-associated disorders and there is limited evidence to support the use of these interventions. Several factors are thought to contribute to this, such as poorly conceptualized and implemented interventions. Studies have also been conducted with non-standard treatment dosages and participants that are unlikely to benefit, such as patients with low initial levels of psychological distress [16]. In addition to this, the goals of psychological strategies, often taken from Acceptance and Commitment Therapy (ACT) and Cognitive Behavioral Therapy (CBT), primarily concern improved functioning and engagement with life goals and values [25], [26], [27]. Hence, interventions and outcome measures within this research field need to incorporate this focus together with outcomes such as pain reduction [16]. Lastly, interventions have often been implemented by professionals other than psychologists, likely with less training in delivering these therapies effectively, which may play a role in patient outcomes [16]. Taken together, further methodologically rigorous research is needed in this field [16].

The results of this study connect anxiety, depression, and acceptance to persistent pain after neck trauma and suggest that interventions targeting these processes may prove effective in preventing the development of chronicity when used together with other interventions. Clinical implementation and longitudinal research on these processes is warranted to assess the extensibility of these results.

Our study also connected the time since the trauma with pain distribution, but not with pain interference or pain severity. The relationship with pain distribution, however, might be characterized as weak, given that an increase in time of 1 year since the trauma only amounts to an estimated 4% increase in risk for a diagnosis of more widespread pain. The type of trauma had no significant relation to any of the outcomes in this study, which supports earlier findings that suggest that type of trauma and other accident-related parameters fail to forecast recovery after neck trauma [2], [5], [44].

Neither age nor education mattered greatly for any outcome, with the only significant relationship being a week association between lower education level and higher pain severity. These results are comparable to those of several previous studies that have found no or negligible effects of age and education on the risk of chronicity after neck trauma [2], [5], [44]. In contrast to the other demographic factors, sex was strongly associated with pain distribution, weakly associated with pain interference and not associated with pain severity. Female sex was related to more widespread pain and greater pain interference. This might be attributed to several factors, including differences in trauma-related mechanisms [45], physiological sex differences [46], [47], and gender differences [48]. Earlier findings of the effect of sex on outcome after neck trauma have been inconsistent, but the results from this study support the studies that have identified associations between female sex and poorer outcomes [2], [5], [44].

We acknowledge several limitations in the current study. First, because of the cross-sectional nature of the data, the investigated factors associated with persistent pain after neck trauma could be risk factors, prognostic factors, or consequences of persistent neck pain. Conclusions about the direction of causation cannot be made from this study i.e. changes in pain/disability level can affect the psychological factors or the reverse. The observed relationships from this study provide a basis for future longitudinal studies that aim to identify prognostic factors of poor recovery after neck trauma. Secondly, our analyses included participants who had missing data on several variables, which we tackled with robust multiple imputation methods. Thirdly, the type of trauma was defined from the reported event (motor vehicle, bicycle, scuffle, amusement ride, etc.) and gives only rough estimates of the supposed trauma mechanisms, and not their severity. Lastly, the sample comprised a large percentage of women with relatively high levels of education and the results may therefore not generalize to more diverse samples.

In summary, the findings of this study add to a growing body of literature proposing that the development of chronicity after neck trauma should be understood as a multidimensional process, best described by a biopsychosocial model [7], [10], [11], [49]. Persistent pain after neck trauma is complex and a wide range of biological, psychological, and social mechanisms have been identified in the recovery process after neck trauma [50]. Professionals in all clinical settings should incorporate psychological factors in their assessments of and interventions with this patient group. In order to further develop assessment and treatment algorithms, studies are needed to both identify key factors of chronicity and to evaluate interventions aimed at targeting these processes in terms of effect and timing in the rehabilitation process. The results from this study suggest that psychological factors and especially acceptance might be important processes with implications for enhanced recovery after neck trauma that should be identified and addressed in the continuous pain rehabilitation process.

Acknowledgement

We wish to thank registered nurse Nina Wätthammar for extracting data from the patient records.

  1. Authors’ statements

  2. Research funding: The study was supported by Skåne University Hospital, Lund, Sweden and the Swedish Association for Survivors of Accident and Injury (RTP-research fund), Stockholm, Sweden.

  3. Conflict of interest: No conflicts of interest to declare.

  4. Informed consent: Informed consent was obtained from all participants.

  5. Ethical approval: The study design and protocol were reviewed and approved by the Regional Ethical Review Board in Lund, Sweden (ref: 2014/34 and 2016/484).

References

[1] Styrke J, Stalnacke BM, Bylund PO, Sojka P, Bjornstig U. A 10-year incidence of acute whiplash injuries after road traffic crashes in a defined population in northern Sweden. PM R 2012;4:739–47.10.1016/j.pmrj.2012.05.010Search in Google Scholar PubMed

[2] Carroll LJ, Holm LW, Hogg-Johnson S, Côté P, Cassidy JD, Haldeman S, Nordin M, Hurwitz EL, Carragee EJ, van der Velde G, Peloso PM, Guzman J. Course and prognostic factors for neck pain in whiplash-associated disorders (WAD): results of the Bone and Joint Decade 2000–2010 Task Force on Neck Pain and its Associated Disorders. Spine 2008;33(Suppl):S83–92.10.1097/BRS.0b013e3181643eb8Search in Google Scholar PubMed

[3] Westergren H, Larsson J, Freeman M, Carlsson A, Jöud A, Malmström E-M. Sex-based differences in pain distribution in a cohort of patients with persistent post-traumatic neck pain. Disabil Rehabil 2017;40:1–10.10.1080/09638288.2017.1280543Search in Google Scholar PubMed

[4] Kasch H, Turk C, Jensen T. Whiplash injury: perspectives on the development of chronic pain, 1st ed. Philadelphia: Wolters Kluwer Health, 2016.Search in Google Scholar

[5] Walton DM, Carroll LJ, Kasch H, Sterling M, Verhagen AP, Macdermid JC, Gross A, Santaguida PL, Carlesso L. An overview of systematic reviews on prognostic factors in neck pain: results from the international collaboration on neck pain (ICON) project. Open Orthop J 2013;7:494–505.10.2174/1874325001307010494Search in Google Scholar PubMed PubMed Central

[6] Ritchie C, Sterling M. Recovery pathways and prognosis after whiplash injury. J Orthop Sports Phys Ther 2016;46:851–61.10.2519/jospt.2016.6918Search in Google Scholar PubMed

[7] Williamson E, Williams MA, Gates S, Lamb SE. Risk factors for chronic disability in a cohort of patients with acute whiplash associated disorders seeking physiotherapy treatment for persisting symptoms. Physiotherapy 2015;101:34–43.10.1016/j.physio.2014.04.004Search in Google Scholar PubMed

[8] Côté P, Soklaridis S. Does early management of whiplash-associated disorders assist or impede recovery? Spine 2011;36(Suppl):S275–S9.10.1097/BRS.0b013e3182388d32Search in Google Scholar PubMed

[9] Williamson E, Williams M, Gates S, Lamb SE. A systematic literature review of psychological factors and the development of late whiplash syndrome. Pain 2008;135:20–30.10.1016/j.pain.2007.04.035Search in Google Scholar PubMed

[10] Carstensen TBW, Frostholm L, Oernboel E, Kongsted A, Kasch H, Jensen TS, Fink P. Post-trauma ratings of pre-collision pain and psychological distress predict poor outcome following acute whiplash trauma: a 12-month follow-up study. Pain 2008;139:248–59.10.1016/j.pain.2008.04.008Search in Google Scholar PubMed

[11] Sterling M, Jull G, Vicenzino B, Kenardy JR. Physical and psychological factors predict outcome following whiplash injury. Pain 2005;114:141–8.10.1016/j.pain.2004.12.005Search in Google Scholar PubMed

[12] Andersen TE, Karstoft KI, Brink O, Elklit A. Pain-catastrophizing and fear-avoidance beliefs as mediators between post-traumatic stress symptoms and pain following whiplash injury – a prospective cohort study. Eur J Pain 2016;20:1241–52.10.1002/ejp.848Search in Google Scholar PubMed

[13] Sullivan MJL, Scott W, Trost Z. Perceived injustice: a risk factor for problematic pain outcomes. Clin J Pain 2012;28:484–8.10.1097/AJP.0b013e3182527d13Search in Google Scholar PubMed

[14] Carroll LJ, Liu Y, Holm LW, Cassidy JD, Côté P. Pain-related emotions in early stages of recovery in whiplash-associated disorders: their presence, intensity, and association with pain recovery. Psychosom Med 2011;73:708–15.10.1097/PSY.0b013e31822f991aSearch in Google Scholar PubMed

[15] Carroll LJ, Cassidy JD, Côté P. The role of pain coping strategies in prognosis after whiplash injury: passive coping predicts slowed recovery. Pain 2006;124:18–26.10.1016/j.pain.2006.03.012Search in Google Scholar PubMed

[16] Shearer HM, Carroll LJ, Wong JJ, Côté P, Varatharajan S, Southerst D, Sutton DA, Randhawa KA, Yu H, Mior SA, van der Velde GM, Nordin MC, Stupar M, Taylor-Vaisey AL. Are psychological interventions effective for the management of neck pain and whiplash-associated disorders? A systematic review by the Ontario Protocol for Traffic Injury Management (OPTIMa) Collaboration. Spine J 2016;16:1566–81.10.1016/j.spinee.2015.08.011Search in Google Scholar PubMed

[17] Vowles KE, Witkiewitz K, Sowden G, Ashworth J. Acceptance and commitment therapy for chronic pain: evidence of mediation and clinically significant change following an abbreviated interdisciplinary program of rehabilitation. J Pain 2014;15:101–13.10.1016/j.jpain.2013.10.002Search in Google Scholar PubMed

[18] Wicksell RK, Olsson GL, Hayes SC. Psychological flexibility as a mediator of improvement in acceptance and commitment therapy for patients with chronic pain following whiplash. Eur J Pain 2010;14:1059.e1–11.10.1016/j.ejpain.2010.05.001Search in Google Scholar PubMed

[19] Åkerblom S, Perrin S, Rivano Fischer M, McCracken LM. The relationship between posttraumatic stress disorder and chronic pain in people seeking treatment for chronic pain: the mediating role of psychological flexibility. Clin J Pain 2018;34:487–96.10.1097/AJP.0000000000000561Search in Google Scholar PubMed

[20] Åkerblom S, Perrin S, Rivano Fischer M, McCracken LM. The mediating role of acceptance in multidisciplinary cognitive-behavioral therapy for chronic pain. J Pain 2015;16:606–15.10.1016/j.jpain.2015.03.007Search in Google Scholar PubMed

[21] Baranoff J, Hanrahan SJ, Kapur D, Connor JP. Acceptance as a process variable in relation to catastrophizing in multidisciplinary pain treatment. Eur J Pain 2013;17:101–10.10.1002/j.1532-2149.2012.00165.xSearch in Google Scholar PubMed

[22] Wicksell RK, Ahlqvist J, Bring A, Melin L, Olsson GL. Can exposure and acceptance strategies improve functioning and life satisfaction in people with chronic pain and whiplash-associated disorders (WAD)? A randomized controlled trial. Cogn Behav Ther 2008;37:169–82.10.1080/16506070802078970Search in Google Scholar PubMed

[23] Zetterqvist V, Holmstrom L, Maathz P, Wicksell RK. Pain avoidance predicts disability and depressive symptoms three years later in individuals with whiplash complaints. Acta Anaesthesiol Scand 2017;61:445–55.10.1111/aas.12874Search in Google Scholar PubMed

[24] Fish RA, McGuire B, Hogan M, Stewart I, Morrison TG. Validation of the Chronic Pain Acceptance Questionnaire (CPAQ) in an Internet sample and development and preliminary validation of the CPAQ-8. Pain 2010;149:435–43.10.1016/j.pain.2009.12.016Search in Google Scholar PubMed

[25] McCracken LM, Morley S. The psychological flexibility model: a basis for integration and progress in psychological approaches to chronic pain management. J Pain 2014;15:221–34.10.1016/j.jpain.2013.10.014Search in Google Scholar PubMed

[26] Hann KE, McCracken LM. A systematic review of randomized controlled trials of acceptance and commitment therapy for adults with chronic pain: outcome domains, design quality, and efficacy. J Context Behav Sci 2014;3:217–27.10.1016/j.jcbs.2014.10.001Search in Google Scholar

[27] Williams AC, Eccleston C, Morley S. Psychological therapies for the management of chronic pain (excluding headache) in adults. Cochrane Database Syst Rev 2012;11:CD007407.10.1002/14651858.CD007407.pub3Search in Google Scholar PubMed PubMed Central

[28] Swedish Quality Registry for Pain Rehabilitation. Available at: http://www.ucr.uu.se/nrs/. Accessed: 3 Jul 2017.Search in Google Scholar

[29] Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiat Scand 1983;67:361–70.10.1111/j.1600-0447.1983.tb09716.xSearch in Google Scholar PubMed

[30] Lisspers J, Nygren A, Soderman E. Hospital Anxiety and Depression Scale (HAD): some psychometric data for a Swedish sample. Acta Psychiat Scand 1997;96:281–6.10.1111/j.1600-0447.1997.tb10164.xSearch in Google Scholar PubMed

[31] Baranoff J, Hanrahan S, Kapur D, Connor J. Validation of the chronic pain acceptance questionnaire-8 in an Australian pain clinic sample. Int J Behav Med 2014;21:177–85.10.1007/s12529-012-9278-6Search in Google Scholar PubMed

[32] Rovner GS, Arestedt K, Gerdle B, Börsbo B, McCracken LM. Psychometric properties of the 8-item Chronic Pain Acceptance Questionnaire (CPAQ-8) in a Swedish Chronic pain cohort. J Rehabil Med 2014;46:73–80.10.2340/16501977-1227Search in Google Scholar PubMed

[33] Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, Tugwell P, Campbell SM, Abeles M, Clark P, et al. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum 1990;33:160–72.10.1002/art.1780330203Search in Google Scholar PubMed

[34] Kerns RD, Rudy TE, Turk DC. The West Haven-Yale Multidimensional Pain Inventory (WHYMPI). Pain 1985;23:345–56.10.1016/0304-3959(85)90004-1Search in Google Scholar PubMed

[35] Nyberg VE, Novo M, Sjolund BH. Do Multidimensional Pain Inventory scale score changes indicate risk of receiving sick leave benefits 1 year after a pain rehabilitation programme? Disabil Rehabil 2011;33:1548–56.10.3109/09638288.2010.533815Search in Google Scholar PubMed

[36] R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2016.Search in Google Scholar

[37] Harrell FE. RMS: regression modeling strategies, 2017.Search in Google Scholar

[38] Cook AJ, Meyer EC, Evans LD, Vowles KE, Klocek JW, Kimbrel NA, Gulliver SB, Morissette SB. Chronic pain acceptance incrementally predicts disability in polytrauma-exposed veterans at baseline and 1-year follow-up. Behav Res Ther 2015;73:25–32.10.1016/j.brat.2015.07.003Search in Google Scholar PubMed PubMed Central

[39] Ruiz-Párraga GT, López-Martínez AE. The contribution of posttraumatic stress symptoms to chronic pain adjustment. Health Psychol 2014;33:958–67.10.1037/hea0000040Search in Google Scholar PubMed

[40] Ruiz-Párraga GT, López-Martínez AE. The role of experiential avoidance, resilience and pain acceptance in the adjustment of chronic back pain patients who have experienced a traumatic event: a path analysis. Ann Behav Med 2015;49:247–57.10.1007/s12160-014-9654-3Search in Google Scholar PubMed

[41] McCracken LM, Gutiérrez-Martínez O. Processes of change in psychological flexibility in an interdisciplinary group-based treatment for chronic pain based on acceptance and commitment therapy. Behav Res Ther 2011;49:267–74.10.1016/j.brat.2011.02.004Search in Google Scholar PubMed

[42] McCracken LM, Eccleston C, Vowles KE. Acceptance-based treatment for persons with complex, long standing chronic pain: a preliminary analysis of treatment outcome in comparison to a waiting phase. Behav Res Ther 2005;43:1335–46.10.1016/j.brat.2004.10.003Search in Google Scholar PubMed

[43] Vowles KE, Wetherell JL, Sorrell JT. Targeting acceptance, mindfulness, and values-based action in chronic pain: findings of two preliminary trials of an outpatient group-based intervention. Cogn Behav Pract 2009;16:49–58.10.1016/j.cbpra.2008.08.001Search in Google Scholar

[44] Walton DM, Macdermid JC, Giorgianni AA, Mascarenhas JC, West SC, Zammit CA. Risk factors for persistent problems following acute whiplash injury: update of a systematic review and meta-analysis. J Orthop Sports Phys Ther 2013;43:31–43.10.2519/jospt.2013.4507Search in Google Scholar PubMed

[45] Kullgren ASSH, Krafft M. Development of whiplash associated disorders for male and female car occupants in cars launched since the 80s in different impact directions. IRCOBI Conference; Gothenburg, 2013.Search in Google Scholar

[46] Fillingim RB, King CD, Ribeiro-Dasilva MC, Rahim-Williams B, Riley JL III. Sex, gender, and pain: a review of recent clinical and experimental findings. J Pain 2009;10:447–85.10.1016/j.jpain.2008.12.001Search in Google Scholar PubMed PubMed Central

[47] Carlsson A, Chang F, Lemmen P, Kullgren A, Schmitt KU, Linder A, Svensson MY. Anthropometric specifications, development, and evaluation of EvaRID – a 50th percentile female rear impact finite element dummy model. Traffic Inj Prev 2014;15:855–65.10.1080/15389588.2014.885647Search in Google Scholar PubMed

[48] Eek F, Axmon A. Gender inequality at home is associated with poorer health for women. Scand J Public Health 2015;43:176–82.10.1177/1403494814562598Search in Google Scholar PubMed

[49] Vernon H, Guerriero R, Kavanaugh S, Soave D, Moreton J. Psychological factors in the use of the neck disability index in chronic whiplash patients. Spine (03622436) 2010;35:E16–21.10.1097/BRS.0b013e3181b135aaSearch in Google Scholar PubMed

[50] Westergren H, Freeman MD, Malmström E-M. The whiplash enigma: still searching for answers. Scand J Pain 2014;5:226–8.10.1016/j.sjpain.2014.08.003Search in Google Scholar PubMed

Received: 2019-02-06
Revised: 2019-05-03
Accepted: 2019-05-08
Published Online: 2019-06-17
Published in Print: 2019-10-25

©2019 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

Downloaded on 25.4.2024 from https://www.degruyter.com/document/doi/10.1515/sjpain-2019-0021/html
Scroll to top button