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Dynamic Interrelations between Sensory and Affective Aspects of Pain in Patients with Chronic Pain

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27 April 2024

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Abstract
Depression, anxiety, and pain are part of a common phenomenon that requires to be studied together when evaluating patients with chronic pain. The aim of the study was to examine the correlations between depression, anxiety and pain intensity in patients with chronic pain and how they change when a depressive episode was added. A sample of 120 patients with chronic pain (age: 51.90±11.94; 81.7% female; 18.3% male) was studied in two stages with a three-month period between them. Patients with a depressive episode (n=61) were treated with antidepressants and analgesics, while a patient without depression (n=59) was treated only with analgesics. The scales used to achieve the objectives were: HAM-D-17, Spielberger‘s STAI and VAS. Insignificant correlations were found between depression, state and trait anxiety, and pain intensity (p<0,05) in the group without depression, except for a significant one between depression and state anxiety (p<0,01) in the second stage. Significant correlations were identified between all indicators (p<0,01) in the group with depression at the two stages. Those in the second stage were stronger. The interrelations between sensory and affective aspects of pain were stronger when a depressive episode occurs, the severity of which determines their dynamics.
Keywords: 
Subject: Medicine and Pharmacology  -   Psychiatry and Mental Health

1. Introduction

Pain is a stressor that signals immediate danger or  threat to our physical and mental functionality [1,2].  In contrast to acute pain, which plays a protective role, chronic pain has a destructive  role and profoundly impacts various aspects of an individual's life and society  [3,4]. For this reason, in recent years,  researchers have focused their interest on finding ways to manage the factors  involved in the development and maintenance of chronic pain [4–6].
The experience of pain is formed under the  influence of three interconnected and interdependent aspects—sensory,  emotional, and cognitive [7]. Cognitive  processes in assessing the pain situation determine the individual's emotional  response. Usually, pain is associated with negative emotions such as fear,  depression, and anxiety, driven by sensory aspects (nociception) [8]. These form the basis of suffering during pain,  prompting individual’s to seek help [9]. Therefore,  a person's ability to effectively regulate their emotions provoked by acute  pain determines the extent of their suffering and pain resilience [10].
Perceiving acute pain as a threat (catastrophizing  pain) provokes fear and anxiety, which are significant predictors for increased  pain intensity and future disability in patients [11,12].  In most theoretical models of maladaptive behaviors in chronic pain, anxiety is  a major mediator in cognitive constructs such as catastrophizing,  hypervigilance, and avoidance of situations that could provoke pain [13,14]. The reinforcement of these behaviors over  time is associated with prolonged psychological stress, which becomes a  prerequisite to the development of depression, further amplifying the intensity  of pain and the suffering of the patient. Breaking this vicious cycle is a  cornerstone in pain management [15].
The depressive episode is a common comorbidity in  chronic pain, characterized by the presence of anxiety symptoms that can  sometimes escalate to a level of agitation (agitated depression). Even mild  symptoms of anxiety affect the depressive episode negatively and determine its  more severe course [16,17]. This clinical  picture indirectly demonstrates that stress is a fundamental link between pain  and depression [18]. According to Woo et al.  (2010), depression and pain should not be considered as separate dimensions due  to their interactive nature. We would add a third dimension – anxiety, as it  participates in every moment of pain, and its severity determines the evolution  of pain [16].
Although depression is often perceived as a normal  reaction to prolonged and debilitating pain, its underestimation carries risks  of future disability and auto-aggression [19,20].  Therefore, when evaluating patients with chronic pain, it is important to  examine not only the physical characteristics of pain, but also the emotional  ones – depression and anxiety – as they are interdependent variables of a  common phenomenon. A thorough study of the relationships between the sensory  and affective aspects of pain would contribute to the search for effective  approaches to manipulate them in the management of chronic pain. The aim of the  study is to determine whether there are correlations between depression,  anxiety (state and trait) and pain intensity in patients with chronic pain and  whether these interrelationships change with the addition of a depressive  episode.

2. Materials and Methods

We conducted a phase study, that proceeded in two  stages, during which data were collected using quantitative methods for  assessing patients with chronic pain, both with and without depressive episode.

2.1. Participants

The aim of the study was to recruit 120 patients  with chronic non-malignant pain using a random sampling method. The research  was conducted for a period of one year (from August 2019 to July 2020). The  participants were hospitalized patients undergoing treatment for chronic pain  in the clinics of neurology, rheumatology and psychiatry at UMBAL „St. Marina”  – Varna, Bulgaria. Two groups of patients between the ages of 24 and 75 were  included. The selection of participants was carried out according to the established  inclusion and exclusion criteria of the study. The inclusion criteria were: 1)  patients with chronic non-malignant pain and depression with a duration of pain  symptoms longer than three months and diagnosed with a depressive episode  according to the International classification of diseases tenth revision  (ICD-10) criteria; 2) patients with chronic non-malignant pain without clinical  data of depressive episode; and 3) signed informed consent for participation in  the study by the patient. All patients under the age of 18 and over 75,  pregnant women, patients with chronic malignant pain and patients who did not  sign an informed consent were excluded from the study.
All participants were previously informed about the  study procedures and signed an informed consent. The study was approved by the  Research Ethics Committee at the Medical University „Prof. Dr. Paraskev  Stoyanov“ – Varna, with Protocol/Decision № 85/26.07.2019.

2.2. Data Collection Methods

Several data collection methods were selected to  fulfill the research objectives. A working card was developed to collect: 1)  the demographic characteristics of the participants; 2) localization and  diagnostic category of chronic pain and the ongoing pain treatment; 3) data on  psychiatric comorbidity – diagnostic category, duration of illness and  treatment. The following tools were selected for the evaluation of the sensory  and affective aspects of pain: Hamilton Depression Rating Scale (HAM-D-17),  Spielberger‘s State – Trait Anxiety Inventory (STAI) and Visual analog pain  scale (VAS).
HAM-D-17 was used for assessing the symptoms of  depression. Nine of the symptoms (depressive mood, feelings of guilt,  suicidality, retardation in daily activity and work activity, agitation,  psychic anxiety, somatic anxiety, hypochondriacs) were estimated from 0 to 4.  The other eight symptoms (sleep disturbances, disturbances of sleep duration,  early awakening, gastrointestinal somatic symptoms, genital symptoms, general  somatic symptoms, weight loss, awareness of disease) – from 0 to 2. The total  score of the 17 items (range 0-52) reflects the severity of depression (0 to 7  – absence of depression; 8 to 16 – mild depression; 17 to 23 – moderate  depression and over 24 – severe depression) [21]. 
STAI was applied for the evaluation of anxiety. We  used an adapted form for Bulgarian conditions by D. Shtetinski and I.  Paspalanov. The questionnaire consists of two self-assessment scales, each of  which contains 20 statements. The Scale (S) for state anxiety (STAI – form Y1)  evaluates the emotional state and the reactions that arise in the individual  when perceiving a given situation as threatening, regardless of objective  reality like bad presentiments, a sense of danger, tension, nervousness and anxiety.  The Scale (T) for assessment of anxiety as a personal predisposition (STAI –  form Y2) evaluates how the person surveyed „feels overall.” The subjects  evaluate these statements by describing the intensity of their feelings on a  scale from 1 to 4 (likert scale). The total score for the both scales varies  from 20 to 80, where a score of up to 30 is considered for mild, 31 to 44 –  moderate, and over 45 as severe state or trait anxiety [22].
VAS is a 10-centimeter horizontal line with an  outline only at the beginning and at the end of the scale. At the beginning of  the scale there is no pain, and at the end – the strongest pain a person can  imagine. The participants mark their pain sensation, and the investigator  measures the distance from the beginning of the scale in centimeters or  millimeters. Thus, a digital expression of the intensity of pain is given. When  determining the degree of pain intensity, we use the following gradation: 0 - 0.4  cm - no pain, 0.5 - 4.4 cm - mild pain; 4.5 - 7.4 cm – moderate and 7.5 - 10 cm – severe pain [23].

2.3. Organization of the Study

The sample of 120 patients was divided into two  groups according to the presence of a depressive episode. The mental state of  the participants was assessed according to the ICD-10 criteria for a depressive  episode. During the first stage, all participants were examined using the  following methods: 1) filling in the work card; 2) HAM-D-17 to assess  depression severity; 3) Scale (S) for assessing state anxiety (STAI - form Y1)  and scale (T) for assessing trait anxiety (STAI - form Y2) from the Spielberger  questionnaire and 4) VAS for assessing pain intensity.
The second stage of the study was conducted three  months after the first. Both groups of patients were examined with the same  quantitative methods, except for the Spielberger’s scale (T) because we assume  that anxiety as a personality trait (trait anxiety) does not change during time  and remains constant characteristic.

2.4. Data Analysis

Statistical analysis was performed using SPSS  software, version 22.0. The results were obtained through three analyses: 1)  descriptive statistics; 2) correlation analysis – to search for correlations  between the studied indicators in the two stages of the study; and 3) T – test  (Student’s T-test) to determine differences in the mean values between  indicators in different measurements. 

3. Results

3.1. Demographic and Clinical Characteristics

We studied 120 patients with chronic pain with a  minimum age of 24 years and a maximum age of 76 years. The mean age of the  participants was 51.90± 11.94. The gender distribution was uneven – the share  of women surveyed was 81.7% (n=98), and that of men – 18.3% (n=22).
Depending on the presence of clinically manifest  symptoms of depression according to the criteria for a depressive episode of  the ICD-10, the total sample was divided into two groups: 1) a group of 59  patients with chronic pain and no clinical data of a depressive episode and 2)  a group of 61 patients with chronic pain and symptoms within a depressive  episode. Both groups included patients with chronic pain of different origins:  chronic headache, chronic neuropathic pain, chronic visceral pain, chronic musculoskeletal  pain, chronic postoperative pain, chronic posttraumatic pain, and dysfunctional  pain. The studied groups were distinguished by a different distribution in  terms of the number of localizations and the number of diagnostic categories of  chronic pain. The proportion of patients with more than one diagnostic category  was greater in the group with depression (47.5%) than in the group without  depression (18.6%) (Figure 1).
The group distribution according to the number of  pain localizations showed that the proportion of patients with depression with  only one localization (49,2%) was greater compared to those without depression  (29,5%) (Figure 2).
The results of the distribution of the group with  depression at the first stage according to antidepressant treatment showed that  73.78% (n=45) of them were on maintenance treatment, 18.03% (n=11) had  discontinued treatment for any reason, and 8.19% (n=5) never took  antidepressants. Within the study, all patients conducted maintenance treatment  with antidepressants.
The mean values of the studied indicators –  severity of depression (D), state anxiety (SA), trait anxiety (TA) and pain  intensity (PI) are represented in Table 1.  The frequency distributions on the main scales were close to normal. In the  group with depression, there was a reduction in the mean values of all  indicators of the second stage of the study, the most pronounced being in the  indicator severity of depression (stage I: 16.15±5.87 – moderate; Stage II:  13,36±6,96 – mild). This group was characterized by high degrees of trait  (49.23±11.39) and state anxiety (50.15±13.90), the latter remaining high at the  second stage of the study (49.23±16.03). The pain intensity was moderate for  both stages of the study (stage I: 5.77±2.73; stage II: 5,26±2,58). The group  without depression had mild pain intensity and moderate degree of state and  trait anxiety at both stages. At the second stage, an increase in the severity  of depression and a decrease of the pain intensity were reported (Table 1).

3.2. Reliability of the Scales Used in the Study

The reliability factor Cronbach's alpha was calculated.  The coefficient was not calculated for HAM-D-17 as it does not imply a normal  distribution. It is clear from Table 2  that the scales used during the two stages of the study had a high reliability  coefficient.

3.3. T-Test

In order to search for significant differences  between the pairs of indicators at the two stages of the study, a T-test  analysis was performed by groups. The indicator trait anxiety was not included  in the analysis, because it was examined only during the first stage. The  difference was significant only in the pair of indicators severity of  depression (t=3,323, p=,002) for the group with depression. For the group  without depression, the difference was significant only in the pair of  indicators of pain intensity (t=2,174, p=,034) (Table 3).

3.4. Correlation Analysis

For the first stage of the study, the indicators are insignificantly related to each other in the group without depression (Table 4). This tendency was preserved for the second stage of the study, except for the identified correlation between the severity of depression and the degree of state anxiety (Table 5).
The correlation analysis of the scales in the group with depression differed significantly from that of the group without depression. There were significant correlations between all indicators (p < 0.01) at the first stage of the study. The highest was the correlation between depression severity (D) and pain intensity (PI), followed by the correlations between state (SA) and trait (TA) anxiety, between pain intensity (PI) and state anxiety (SA), between depression severity (D) and trait anxiety (TA), between depression severity (D) and state anxiety (SA) (Table 6).
The analysis for the second stage of the study again showed significant correlations between all indicators, of which the highest was between depression severity and state anxiety, followed by that between depression severity and pain intensity and between pain intensity and state anxiety (Table 7).

4. Discussion

4.1. Interrelations between Sensory and Affective Aspects of Pain

The age and gender distribution in the study sample of patients with chronic pain was uneven. The majority of them were between 45 and 66 years old, with the predominant share of women. Our results correspond with the literature data according to which the prevalence of chronic pain is greatest among the adult population after 40 years of age [24]. Women report more severe pain, a higher number of pain conditions and depression, than men [25].
The results of the study showed the presence of undiagnosed patients with a depressive episode, as well as those who discontinued their antidepressant therapy. Similar results were found in other authors' studies, which reveals the need for systematic monitoring of the mental state and treatment of patients with chronic pain [26]. The group was distinguished by a high degree of state and trait anxiety, moderate severity of the depressive episode, and moderate pain intensity. After three months of treatment with antidepressants, the mean values of all indicators were reduced in the second stage, but this reduction was statistically significant only for the severity of depression.
In the group without depression, patients had moderate mean values of state and trait anxiety at both stages. At the second stage, the mean values of the indicators of severity of depression and pain intensity changed, but statistically significant was the reduction in pain intensity. This proved the effectiveness of the pain treatment.
The results revealed that anxiety symptoms accompanied both groups of patients. Tension, anxiety, and premonitions of impending danger were found to occur more frequently in patients with chronic pain and depression than without depression [27,28]. Some authors accept state anxiety as a prognostic factor in pain manifestation and related disability [29,30]. High trait anxiety was defined as a nonspecific measure of the development of negative affectivity (depressive and anxiety symptoms) [31]. Other authors associate high trait anxiety with more intense symptoms of anxiety and pain. They proved that degrees of state and trait anxiety have a cumulative effect on the subjective sensation of pain [32].
Trait anxiety is defined as the stable tendency to perceive a wide range of situations as dangerous or threatening, which provokes the manifestation of negative emotions (fears, worries and anxiety). It is part of the personality bipolar dimension neuroticism versus emotional stability and is associated with a tendency to worry about health and often complaint somatic symptoms. The greatest influence on the degree of state anxiety is the less real danger associated with the situation, but the way one perceives the situation [22]. Results from a study by S. Kadimpati et al. (2015) revealed that neuroticism as a personality trait was independently associated with pain-related anxiety and catastrophizing [33]. A tendency to catastrophize pain has been thought to influence the increase of state anxiety and lower pain tolerance [34]. These data reveal the need for more evidence for the prognostic role of high trait anxiety in the manifestation of depression in patients with chronic pain.
Interrelations between the sensory and affective components of pain were established by correlation analysis. The correlation only showed that variations in one variable were accompanied by variations in another. The analysis of the studied indicators in the group without depression showed non-significant relationships at the both stages of the study. In other words, single depressive symptoms that did not reach the degree of depressive episode did not show relationships with mild intensity of pain and with moderate anxiety. The correlation analysis of the studied indicators showed significant correlations between all indicators during the two stages of the study i.e. the presence of a depressive episode changed the relationships between the indicators. For example, Rogers et al. (2015) also found correlations between the three indicators, but found the link between pain and depression was unique [35]. A meta-analysis of studies of patients with chronic osteoarthritis pain sharing symptoms of depression and anxiety demonstrated a significant correlation between pain and severity of depression and anxiety [36]. Different results are presented by other authors who found that changes in the level of anxiety or depression had a low to moderate impact on pain reduction. They examined a sample of patients with fibromyalgia treated with pregabalin alone. They link reduced pain mostly to the direct effect of treatment, rather than an indirect effect mediated by improving symptoms of anxiety or depression [37]. Given that fibromyalgia is often accompanied by a depressive episode, the reduction of pain intensity would not be a sufficient factor to reduce depression, but a treatment aimed at it [38]. Correlations with different measures and polarity were found by Linton and Götestam (1985). They examined psychological factors (anxiety and depression) and objective characteristics of pain for each of the 16 patients in the study, suggesting that the relationship between these variables may not be as strong [39]. This indicates a high degree of individual variability in correlations for each patient, emphasizing the need for a tailored approach in managing depression, anxiety, and pain intensity factors.
Our results demonstrate the applicability of the scales used to monitor sensory and affective aspects of pain in comorbid patients with chronic pain and depressive episode. The HAM–D–17 scale is a tool for assessing the severity of depression in patients with a depressive episode. The results showed that in the group without a depressive episode there were patients with single depressive symptoms (score between 1 to 6), whose expression did not reach the degree of a mild episode. The presence of subthreshold symptoms of depression could not be assessed with the chosen scale, which may be the reason for a lack of correlations with the other indicators. Subthreshold symptoms alone represent a risk for a depressive episode [40,41]. Therefore, it is necessary to apply screening tools to search for depressive symptoms with a high degree of sensitivity, including subthreshold ones. Their research and analysis are part of the assessment of suicidal risk, which depends more on psychosocial factors than physical aspects of pain [42].

4.2. Scientific Relevance

Our research is further evidence of the strong interrelationships between affective and sensory aspects of pain in patients with chronic pain and depression. It also reveals the need to actively search for symptoms of depression given the high suicidal risk in these patients. It presents perspectives in the following directions 1) to seek correlations between subthreshold levels of depression and pain intensity; 2) to investigate the influence of high trait anxiety on the evolution of acute pain into chronic pain and 3) to investigate the specific correlations between affective and sensory aspects of pain in different diagnostic categories of chronic pain. This data can be beneficial for the effective management of chronic pain.

4.3. Limitations

This study has several shortcomings. The sample size was not large enough to form more groups of patients with similar clinical characteristics of chronic pain. The etiopathogenesis of different categories of chronic pain are differentially related to depression. We suggest that for the different diagnostic categories of chronic pain, differences in the correlations between the affective and sensory aspects of pain would also be found. The social factors (support, working environment, employment, etc.) and the occurrence of another additional stressor between the two stages of the study, which would have an impact on the mental state of the patients and respectively on the pain. Another limitation concerns the time frame of the study, which applies to both stages and does not apply beyond the specific moment of the study.

5. Conclusions

The interrelationships between sensory and affective aspects of pain are stronger when a depressive episode occurs. The strength in correlations depend on the change in the severity of the depressive episode, which also determines their dynamics. Further research is required to understand the role of subthreshold depressive symptoms in predicting the prognosis of patients with chronic pain. In-depth study of the correlations between the sensory and affective aspects of pain and their dynamics may provide clues on how to reduce the burden of the chronic pain patient.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics Committee at the Medical University „Prof. Dr. Paraskev Stoyanov“ – Varna, with Protocol/Decision № 85/26.07.2019.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper.

Data Availability Statement

The data are not publicly available due to their private nature, and our ethical approval prevents us from sharing data beyond named collaborators. Further inquiries can be directed to the author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Distribution by group according to the number of diagnostic categories of chronic pain.
Figure 1. Distribution by group according to the number of diagnostic categories of chronic pain.
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Figure 2. Distribution by groups according to the number of pain localizations.
Figure 2. Distribution by groups according to the number of pain localizations.
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Table 1. Mean values of the studied indicators by groups.
Table 1. Mean values of the studied indicators by groups.
Group Patients without depression Patients with depression
I stage II stage I stage II stage
Severity of depression (D) 3,54 ±1,77 3,88±2,83 16,15±5,87 13,36±6,96
Pain intensity (PI) 3,85±1,95 3,17±2,17 5,77±2,73 5,26±2,58
State anxiety (SA) 36,36±8,89 35,44±8,37 50,15±13,90 49,23±16,03
Trait anxiety (TA) 40,17±7,85 49,23±11,39
Table 2. Cronbach's alpha scores of the scales used during the first and the second stages of the study.
Table 2. Cronbach's alpha scores of the scales used during the first and the second stages of the study.
Scales Cronbach's alpha
STAI – form Y1 – State anxiety I stage 0,845
STAI – form Y1 – State anxiety II stage 0,833
STAI – form Y2 – Trait anxiety I stage 0,839
VAS – Pain intensity II stage 0,807
VAS – Pain intensity II stage 0,802
Table 3. Degree of severity (t) and degree of significance (p) between pairs of studied indicators by groups.
Table 3. Degree of severity (t) and degree of significance (p) between pairs of studied indicators by groups.
Groups Patients without depression Patients with depression
Pairs of indicators Degree of severity (t) Degree of significance (p) Degree of severity (t) Degree of significance (p)
D1 & D2 -1,272 ,209 3,323 ,002
ST1 & ST2 ,849 ,399 ,569 ,571
PI1 & PI2 2,174 ,034 1,710 ,092
* D1 – severity of depression at the 1st stage; D2 – severity of depression at the 2-d stage; ST1 – degree of state anxiety at the 1st stage; ST1 – degree of state anxiety at the 2-d stage; PI1 – degree of intensity of pain at the 1st stage; PI2 – degree of intensity of pain at the 2d stage.
Table 4. Correlation analysis between scales in the first stage in the group without depression.
Table 4. Correlation analysis between scales in the first stage in the group without depression.
Correlations PI D SA TA
PI 1 -,050 ,322* -,153
D -,050 1 ,182 ,264*
SA ,322* ,182 1 ,204
TA -,153 ,264* ,204 1
** - significant at p level < 0.01; * - significant at level p < 0.05.
Table 5. Correlation analysis between scales in the second stage in the group without depression.
Table 5. Correlation analysis between scales in the second stage in the group without depression.
Correlations PI D SA
PI 1 ,256* ,114
D ,256* 1 ,587**
SA ,114 ,587** 1
** - significant at p level < 0.01; * - significant at level p < 0.05.
Table 6. Correlation analysis between scales in the first stage in the group with depression.
Table 6. Correlation analysis between scales in the first stage in the group with depression.
Correlations PI D SA TA
PI 1 ,538** ,491** ,356**
D ,538** 1 ,405** ,416**
SA ,491** ,405** 1 ,516**
TA ,356** ,416** ,516** 1
** - significant at p level < 0.01; * - significant at level p < 0.05.
Table 7. Correlation analysis between scales in the second stage in the group with depression.
Table 7. Correlation analysis between scales in the second stage in the group with depression.
Correlations PI D SA
PI 1 ,612** ,588**
D ,612** 1 ,738**
SA ,588** ,738** 1
** - significant at p level < 0.01; * - significant at level p < 0.05.
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