Pain Intensity and Its Association with Negative Mood States in Patients with Spinal Cord Injury

Abstract

Introduction

Chronic and persistent pain is a prevalent and debilitating secondary condition in patients with a neurological injury such as spinal cord injury (SCI). Patients with SCI have an increased risk of developing other co-morbid conditions such as elevated negative mood states. Arguably, the presence of chronic pain would act to intensify the chances of developing negative mood states as opposed to resilient mental states. The objective of this research was to investigate the association between pain intensity and levels of negative mood states in adult patients with SCI.

Methods

Participants included 107 adults with SCI living in the community who completed an assessment regimen in a relaxed environment. Mean pain intensity over a period of 1 week and the Profile of Mood States, a validated psychometric measure of mood states (anxiety, depressed mood, anger, vigor, fatigue, confusion and total negative mood score) were used to determine associations between pain intensity and mood states. The sample was divided into a low pain intensity sub-group (<4 where 0 = no pain; 10 = worst pain imaginable) and a clinically significant or high pain intensity sub-group (≥4), allowing negative mood to be compared between the sub-groups.

Results

Mean age was 47.1 years, and 87% of the sample was male. Clinically significant pain intensity over the week prior to assessment was found in 52% of the 107 participants. The high pain intensity sub-group was found to have significantly elevated anxiety, depressed mood, anger, fatigue, confusion and significantly reduced vigor.

Conclusion

These results provide further evidence that patients with SCI experience clinically elevated negative mood states if they have intense levels of pain over extended periods of time. In contrast, patients without intense pain have mood states similar to those in the able-bodied community. Implications for the treatment of SCI are discussed.

Introduction

Spinal cord injury (SCI) is a neurological disorder in which the spinal cord is severely bruised, lacerated, or severed as a result of disease or traumatic injury. While the prevalence of SCI is low, it is a very traumatic and debilitating condition that has ongoing negative impacts on quality of life [1, 2]. Severe damage to the cord results in loss of sensation and paralysis of voluntary muscles, leading to substantially reduced mobility, increased dependence in activities of daily living, lowered vocational capacity, as well as respiratory, cardiovascular, urinary, gastrointestinal and reproductive system complications [1]. Secondary conditions, such as chronic pain, and psychological morbidity, such as depression, are prevalent and contribute to diminished well-being [3–9]. While the majority of adults with SCI adjust well in the long-term, up to 40% have an increased risk of depressed mood and clinically elevated levels of anxiety [6]. It has also been estimated that up to 90% of patients with SCI will experience chronic pain, and for approximately 50% of these, the pain will be distressing [9–11]. These prevalence rates highlight the need for careful screening of SCI patients for levels of chronic pain and mood states, especially as they come to the end of their inpatient rehabilitation and are about to be discharged into the community. Arguably, if those at risk of clinically significant levels of chronic pain and depressed mood were offered treatment to target these conditions, then adjustment rates would likely improve substantially.

Chronic pain is associated with elevated levels of depressed mood and anxiety [4, 9, 10, 12]. For example, it has been shown that chronic pain is strongly associated with levels of negative mood such that increased pain is associated with increased negative mood and vice versa [10]. Furthermore, chronic pain is associated with a reduction in quality of life [9], and post-traumatic stress disorder is associated with increased chronic pain [12]. The aim of this research was to study the relationship between pain intensity and a range of negative mood states. It was hypothesized that increased pain intensity would be associated with elevated negative mood states such as depressed mood and anxiety, but also with negative mood states such as anger, confusion, reduced vigor and fatigue.

Materials and Methods

Study Participants

Patients (aged ≥18 years and <75 years old) with a SCI and living in the community were eligible for inclusion in the study. Participants were enrolled into the study from a SCI rehabilitation unit (n = 32) or via community contacts including through SCI self-help groups or by advertising in SCI community group newsletters. All patients were required to speak and understand instructions in English. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 and 2008. Informed consent was obtained from all patients included in the study. This article does not contain findings from treatment-based clinical intervention studies.

Measures

To enhance validity, all assessment was conducted during an interview in a relaxed environment that included either the participant’s home or a dedicated room in a research institution. In this interview, participants were asked to rate their average pain intensity over the past week using a numerical rating scale from 0 to 10 [19, 20], where 0 = “no pain” and 10 = “pain as bad as can be imagined.” Numerical pain rating scales of this variety have been shown to have acceptable test–retest reliability and validity in terms of associations with other pain measures and treatments [13, 14]. A score of 4 or above on this type of pain intensity numerical rating scale is considered indicative of clinically significant pain [15].

The Profile of Mood States (POMS) was used to measure negative mood [16]. The POMS is a 65-item, 5-point Likert-type measure of six mood state domains. A total POMS score can also be calculated according to the algorithm found in the POMS Manual [16]. The six domains include tension (or anxiety), depressed mood, anger, vigor, fatigue and confusion. High scores suggest elevated negative mood, except for vigor where high scores suggest satisfactory vigor. Participants are asked to rate themselves (0 = Not at all and 4 = Extremely) on descriptors such as “unhappy”, “gloomy”, “miserable”, “panicky”, “tense”, “nervous”, ‘tired’, and ‘lively’. The POMS has been shown to have acceptable test–retest reliability and validity, as well as high internal reliability, with demonstrated Cronbach’s alpha coefficients approaching 0.90 or above [16].

Statistical Analysis

Descriptive statistics and frequencies were calculated for the demographic and injury variables. One-sample t tests were used to compare POMS domain scores with POMS community and psychiatric outpatient norms [16]. The relationship between pain intensity and negative mood states was determined by dichotomizing the SCI group into low (<4) and high (≥4) pain intensity sub-groups based on the definition of clinically significant pain described previously. Post hoc statistical power analyses (1 − β) were calculated and reported. MANOVA was performed to determine whether significant differences existed between the two sub-groups across POMS domains. This was followed by a series of one-way ANOVAs to determine where differences occurred as a function of low versus high pain intensity. Eta-squared (η ²) values were provided as an indication of the size of the difference between the two samples. An η ² of approximately 0.03 was considered a small difference, 0.13 a medium difference and >0.2 considered a large and substantial difference [17]. All analyses were performed using Statistica Software (Version 9, Statsoft).

Results

Patients

A total of 107 patients participated in the study. Mean age (SD) was 47.1 (±14) years (range 18–74); 87% of patients were male (n = 93), 61% (n = 65) had paraplegia, and 39% (n = 42) had tetraplegia. Forty-nine percent (n = 53) of patients were assessed by a medical specialist as having an incomplete lesion, with the remaining participants having complete lesions (51%, n = 54). The mean age at injury was 32.4 (±16.5) years, mean time since the injury was 14.7 (±13.9) years and the mean number of years of education was 13.6 (±2.3) years. Most of the participants (73%, n = 78) were on medications, most commonly analgesics, anti-spasmodics, hypnotics and anti-depressants.

Mean (SD) pain intensity score was 3.7 (SD = 2.9; 95% CI 3.1–4.2). Of the 107 participants, 23 (21.5%) reported no pain on the day of assessment, suggesting a pain frequency of 78.5%. Table 1 shows POMS domain scores for the sample, and for POMS community and POMS psychiatric outpatient norms [16]. Compared to the POMS community norm sample, the SCI sample had significantly elevated depressed mood, lower vigor, and elevated total POMS scores. In contrast, the SCI sample had significantly lower negative mood states and higher vigor compared to the POMS psychiatric sample norms.

Table 1.

POMS domain scores for the SCI sample (N = 107), and POMS domain score norms for adult community and outpatient psychiatric samples [16]

POMS domains	Mean (SD)		t test value	POMS psychiatric outpatients Mean (SD)	t test value
	SCI sample	POMS community
Tension	7.4 (6.5)	7.7 (5.9)	ns	19.9 (8.9)	−19.9**
Depressed mood	10.3 (11.4)	8.0 (9.3)	2.1*	26.0 (15.8)	–14.1**
Anger	8.7 (8.8)	7.6 (7.4)	ns	14.4 (11.1)	−6.7**
Vigor	16.6 (6.1)	19.3 (6.7)	−4.5**	10.0 (6.5)	11.2**
Fatigue	8.7 (6.6)	8.0 (5.9)	ns	12.0 (8.1)	−5.1**
Confusion	6.6 (4.7)	5.7 (4.4)	ns	13.0 (6.7)	−13.9**
POMS Total	25.1 (37.2)	17.7 (33.0)	2.1*	75.3 (not available)	−13.9**

One-sample t tests were used to determine significant differences between the SCI sample POMS scores and the POMS community and psychiatric norms

ns no significant difference, POMS Profile of Mood States, SCI spinal cord injury, SD standard deviation

* p < 0.05 ** p < 0.01

After splitting the SCI sample into sub-groups, 48% (n = 51) of patients were categorized in the low pain intensity (<4) group and 52% (n = 56) of patients in the high pain intensity (≥4) group. The low pain intensity sub-group had a mean pain intensity score of 1.1 (SD = 1.1; 95% CI 0.82–1.4) while the high pain intensity sub-group had an elevated mean pain intensity score of 6.0 (SD = 2.0; 95% CI 5.4–6.5). The high pain intensity sub-group had significantly higher levels of negative mood states and reduced vigor compared to the low pain intensity sub-group (Wilks λ = 0.84, F _7,99 = 2.6, p < 0.05, η ² = 0.16, power = 87%). Table 2 shows mean POMS domain scores for the two pain intensity sub-groups, as well as results of the one-way ANOVA tests, effect sizes (η ²) and post hoc statistical power (1 − β). Table 2 shows that effect sizes for differences between the sub-groups were moderate to large, that is, in comparison, the high pain intensity sub-group had substantially higher levels of negative mood states and reduced vigor. Table 2 also shows that these differences were associated with moderate to large statistical power, suggesting these differences are highly likely true findings.

Table 2.

POMS scores for the two SCI pain intensity sub-groups

POMS domains	Low pain intensity <4 (n = 51)		High pain intensity ≥4 (n = 56)		F value	η 2 and 1 – β (%)
	Mean (SD)	95% CI	Mean (SD)	95% CI
Tension	4.9 (4.8)	3.6–6.3	9.6 (7.0)	7.8–11.5	16.1**	0.13	98
Dep. mood	7.1 (9.5)	4.4–9.7	13.3 (12.3)	10.0–16.6	8.5**	0.07	82
Anger	6.4 (7.6)	4.3–8.6	10.8 (9.3)	8.3–13.3	6.9*	0.06	74
Vigor	18.0 (5.6)	16.4–19.6	15.4 (6.3)	13.7–17.1	5.0*	0.05	60
Fatigue	6.4 (5.1)	4.9–7.8	10.8 (7.2)	8.9–12.8	13.4**	0.11	95
Confusion	5.1 (4.2)	4.0–6.3	8.0 (4.7)	6.8–9.3	10.8**	0.09	90
POMS Total	12.0 (31.5)	3.1–20.8	37.1 (38.2)	26.8–47.3	13.6**	0.11	96

ANOVA statistic, probabilities of difference, effect sizes (η ²) and post hoc power (1 − β) are also shown

Dep. mood Depressed mood

* p < 0.05 ** p < 0.01

Discussion

A large proportion of the sample reported clinically significant levels of pain intensity. The high pain intensity sub-group (52%) reported a mean score of 6/10 (95% CI 5.4–6.5), and only 21.5% reported no pain on the day of assessment. These results are concerning and suggest that more attention should be given to addressing chronic pain in people with SCI. As an example, there is a growing evidence base and consensus for the efficacy of psychosocial approaches for the treatment of chronic pain, especially for people with SCI [18]. Examples include cognitive behavioral techniques to control pain-related catastrophizing, mindfulness techniques and activity pacing strategies [18].

Table 1 demonstrates that in comparison to POMS community norms, the SCI sample had significantly elevated depressed mood as well as reduced vigor and elevated total negative mood states. Importantly, however, the SCI sample had significantly lower levels of negative mood states and elevated vigor compared to psychiatric outpatient norms. This suggests that as shown by the low pain intensity sub-group, that many people with SCI are adjusting well to their impairments. As expected, the findings support an association between pain intensity and elevated depressed mood and anxiety. Additionally, pain intensity was also shown to be associated with elevated negative mood states such as anger, confusion, fatigue, as well as reduced vigor. These findings highlight the difficulties encountered by people with SCI who have intense chronic pain to deal with as well as any impairments associated with their injury. In contrast, the sub-group with low levels of pain intensity exhibited mood states similar to non-diseased male and female community norms [16]. While this research cannot clarify causal factors, the findings suggest that chronic intense pain seriously challenges the mental health status of adults with SCI.

Research has shown that chronic pain alone can have serious impacts on many aspects of life, including deterioration in sleep, work and participation in activities of daily living, and increased functional disability beyond that which results from loss of motor control [19]. The findings of this study highlight the need for rehabilitation therapies that can directly address the needs of those people with SCI who have clinically significant pain. Rehabilitation strategies are necessary to provide protection for people with SCI from the constant debilitating distress caused by intense and persistent pain. Latest research is providing some indication of direction in this regard [19–24].

Limitations of this study included lowered statistical power due to dichotomizing the sample into pain intensity sub-groups. However, effect sizes for group differences were moderate to large, and post hoc power estimates confirmed that the statistical power in the study was satisfactory so that the risk of a type II error rate was low [17]. Further, a cross-sectional design was employed preventing the examination of causal factors. Prospective research should therefore be used to investigate causal relationships between chronic pain and mood states.

Conclusion

Intense chronic pain is associated with a range of negative mood states, and thus there is a critical need for research that evaluates the efficacy of rehabilitation therapies designed to improve self-management of chronic pain and consequent negative mood in adults with SCI. This is true for patients in inpatient hospital rehabilitation settings as well as those living in the community, and remains a challenge for future research in this area.