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Trait mindfulness is associated with pain outcomes in patients with chronic back pain from a rural sample in the United States
*Corresponding author: Natalie J. Shook, School of Nursing, University of Connecticut, Storrs, United States. natalie.shook@uconn.edu
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Received: ,
Accepted: ,
How to cite this article: Haliwa I, Sedney CL, Rosensteel M, Smith SH, Dekeseredy PL, Shook NJ. Trait mindfulness is associated with pain outcomes in patients with chronic back pain from a rural sample in the United States. J Neurosci Rural Pract. 2026;17:110-5. doi: 10.25259/JNRP_246_2025
Abstract
Chronic pain disproportionately affects US adults living in rural areas, leading to higher rates of opioid prescriptions. Mindfulness-based interventions are non-pharmaceutical treatments that can be effective at managing chronic pain. However, little is known about whether mindfulness is a potentially viable intervention target in rural populations. The goals of the current study were to assess the extent to which trait mindfulness was associated with pain outcomes in a rural sample with chronic back pain (n = 50) and to determine whether trait mindfulness prospectively predicted improvement in subjective pain. Participants completed a survey at their initial visit to a spine clinic in the rural southeastern United States. They completed a follow-up survey approximately 3 months later. At the initial visit, greater trait mindfulness was significantly correlated with less reported pain, pain interference, and disability due to pain, with medium effect sizes. Furthermore, greater trait mindfulness at the initial visit prospectively predicted reduced subjective pain at follow-up. These findings suggest that trait mindfulness may buffer against the negative effects of chronic pain and may be an important intervention target for individuals with chronic back pain in rural communities.
Keywords
Back pain
Chronic pain
Mindfulness
Rural health
Spine
INTRODUCTION
Chronic pain, or pain that lasts for more than three months or longer than a reasonable recovery period,[1] is a growing national US health crisis. In 2023, 24.3% of US adults (~60 million individuals) reported experiencing chronic pain, which was a 3.9% increase from 2019.[2] However, not all communities are affected equally. In particular, chronic pain prevalence rates are higher in rural communities than in more urban communities.[2]
Pain management in rural areas is complex due to the limited availability of efficacious treatments for chronic pain, such as physical therapy, acupuncture, or advanced pain procedures.[3] Treatment costs and the difficulty of traveling for care are also significant barriers to treatment in rural areas.[4] Resulting care gaps in pain treatment have been associated with less efficacious or even detrimental pain management strategies in rural areas, such as opioid prescribing,[5,6] as well as patient self-treatment of pain, either through licit or illicit substances, such as cannabis, in rural Appalachian areas.[7] Given the risk of addiction and other negative consequences of long-term opioid or substance use,[8] it is imperative to identify non-pharmacological treatments for chronic pain in rural communities.
A growing body of research indicates that mindfulness-based interventions improve chronic pain management and reduce subjective pain.[9,10] Mindfulness entails attention to the present moment and non-judgmental awareness of what one is experiencing internally and externally.[11] Mindfulness can be conceptualized at both a state and a trait level.[12] State mindfulness is a transient experience, often intentionally induced through practices such as meditation and yoga.[13] Trait mindfulness is a predisposition to be mindful, independent of intentional practice.[14] Individuals inherently differ in trait mindfulness (i.e., the extent to which they are mindful in their daily lives), but trait mindfulness can be increased through repeated practice of state mindfulness.[15] Indeed, the underlying goal of mindfulness-based interventions is to learn exercises that induce state mindfulness and through repeated practice of these exercises to increase trait mindfulness,[16] which accounts for the health and well-being benefits of mindfulness-based interventions.[17,18]
Several studies have demonstrated a link between trait mindfulness and better pain outcomes. For example, greater trait mindfulness has been associated with lower self-reported pain intensity and pain interference among adults with and without chronic pain.[19,20] This association has also been found with behavioral pain measures.[21] These findings suggest that dispositional mindfulness may buffer against the experience of pain.[22,23] However, most of this work did not include or focus on rural communities and relied on a cross-sectional design.
Indeed, some researchers have noted the potential importance of mindfulness interventions in rural populations and called for the need for increased study.[24] To initiate effective behavioral interventions, it is important to demonstrate basic associations between intervention targets and primary outcomes within the population of interest, both cross-sectionally and prospectively. As mindfulness-based interventions are generally time and resource-intensive[25] and little is known about mindfulness in rural communities, it is important to demonstrate that mindfulness is associated with pain outcomes in rural communities. The present study aimed to recruit a sample of individuals with chronic back pain from rural communities to determine (1) the extent to which trait mindfulness was associated with pain outcomes cross-sectionally and (2) whether trait mindfulness prospectively predicted improved pain outcomes in a sample of US adults with chronic spinal pain in a rural community. Based on previous findings with different samples, we expected greater trait mindfulness to be associated with better pain outcomes both cross-sectionally and prospectively.
MATERIALS AND METHODS
Participants and procedure
Participants were recruited during their first clinical visit (Time 1) at a spine clinic in a rural state in the southeastern United States. These patients were adults presenting between May and June 2022 for a complaint of back pain with findings of degeneration present on spinal magnetic resonance imaging. All patients had pain for at least 3 months. All 50 patients approached agreed to participate and complete the survey. The sample was relatively evenly split by sex (50% male, 48% female, and 2% unidentified), with an average age of 58.1 years (standard deviation [SD] = 13.77, range: 28–84).
Participants provided informed verbal consent to the research. Then, they completed a survey with items assessing trait mindfulness and various pain outcomes from well-validated measures in a fixed order. To minimize participant burden and time during clinical visits, abbreviated versions of all measures were used.[1] The survey was administered on paper, collected after the clinical visit, and entered into Research Electronic Data Capture (REDCap).
At a minimum of 3 months later, participants were resurveyed during a follow-up telephone contact (Time 2) after presentation and pursuing standard non-operative treatments (n = 26; 52% return rate). Participants answered the same questions from Time 1. Participants did not receive compensation. Given the attrition rate, participants who completed both timepoints were compared to those who only completed the first timepoint on all study variables. Participants did not significantly differ in age, sex, trait mindfulness, or any of the pain outcomes (ps ≥ 0.13). The study was approved by the West Virginia University Institutional Review Board (protocol #2204553315).
Measures
Please see the [Supplementary].
Trait mindfulness
Three items from the Cognitive and Affective Mindfulness Scale – Revised (CAMS-R)[26] were used to assess trait mindfulness. The CAMS-R is a 12-item scale measuring the cognitive and affective components of mindfulness. Participants indicated the extent to which statements (e.g., it is easy for me to keep track of my thoughts and feelings) applied to them on a scale of 1 (“rarely/not at all”) to 4 (“almost always”). A composite score was computed by averaging values for all items, such that higher values indicate greater trait mindfulness (α = 0.855).
Fear of pain
Four items from the Fear of Pain Questionnaire – 9[27] were used to assess fear of pain. Participants rated the extent to which they fear the pain associated with various events (e.g., breaking your arm) on a scale from 1 (“not at all”) to 5 (“extreme”). A composite score was computed by averaging values for all items, such that higher values indicate greater fear of pain (α = 0.785).
Pain hypervigilance
Three items from the Pain Vigilance and Awareness Questionnaire[28] were used to assess pain hypervigilance. Participants rated the extent to which each statement (e.g., I am aware of sudden or temporary changes in pain) was true of them on a 5-point scale from 1 (“not at all”) to 5 (“extreme”). A composite score was computed by averaging values for all items, such that higher values indicate greater pain hypervigilance (α = 0.837).
Pain interference
Six items from the PROMIS Pain Interference[29] were used to assess pain interference. Participants indicated the extent to which pain interfered with different daily activities (e.g., How much did pain interfere with your enjoyment of recreational activities?) on a scale from 1 (“not at all”) to 5 (“very much”). A composite score was computed by averaging values for all items, such that higher values indicate greater pain interference (α = 0.934).
Disability due to pain
Nine items from the Oswestry Disability Index (ODI)[30] were used to assess disability due to pain. Participants indicated the extent to which their ability to engage in daily activities (e.g., lifting, walking) was limited due to pain on a scale from 0 indicating no disability to 5 indicating complete disability or inability to complete the activity. A composite score was computed by averaging values for all ODI items, such that higher values indicate greater disability due to pain (α = 0.889).
Pain
Two items were used to assess participants’ current pain. First, participants rated their average pain on a scale from 0 to 10. Second, as part of the ODI[30], participants indicated their pain intensity at the time of survey completion on a scale from 0 (“I have no pain at the moment”) to 5 (“The pain is the worst imaginable at the moment”).
RESULTS
Cross-sectional associations
Mean, standard deviation, and bivariate correlations were calculated for all measures at Time 1 [Table 1]. Greater trait mindfulness was significantly correlated with less reported pain (pain rating and pain intensity), less pain interference, and less disability due to pain, with medium effect sizes. Trait mindfulness was not significantly correlated with fear of pain or pain hypervigilance. All of the pain measures, except for fear of pain, were positively correlated with medium to large effect sizes. Fear of pain was not significantly correlated with any of the other pain measures.
| Measures | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|
| 1. Trait mindfulness | – | −0.131 | 0.028 | −0.444** | −0.447** | −0.385** | −0.465** |
| 2. Fear of pain | – | −0.249 | 0.061 | 0.021 | 0.009 | 0.100 | |
| 3. Pain hypervigilance | – | 0.431** | 0.381** | 0.494** | 0.331* | ||
| 4. Pain interference | – | 0.696** | 0.670** | 0.813** | |||
| 5. Pain intensity | – | 0.765** | 0.732** | ||||
| 6. Pain rating | – | 0.655** | |||||
| 7. Disability | – | ||||||
| Mean | 3.35 | 2.46 | 4.10 | 3.56 | 1.88 | 5.02 | 1.80 |
| SD | 0.71 | 0.91 | 0.94 | 0.98 | 1.06 | 2.72 | 0.95 |
| Min -Max | 2–4 | 1–4.25 | 2–5 | 1–5 | 0–4 | 0–10 | 0.22–3.89 |
Significant values are bolded: **P<0.01, *P<0.05, SD: Standard Deviation
Prospective associations
To determine whether trait mindfulness at Time 1 (initial visit) predicted improved pain outcomes at Time 2 (follow-up phone call), a series of regression analyses was conducted. Time 2 pain measure (i.e., pain rating, pain intensity, pain interference, pain hypervigilance, fear of pain, and disability due to pain) was entered as the outcome variable. Trait mindfulness at Time 1 and the respective pain measure at Time 1 were entered as predictor variables. Results of the regression analyses are reported in Table 2. Greater Time 1 trait mindfulness prospectively predicted lower pain intensity and lower pain ratings at Time 2, controlling for Time 1 pain intensity and pain rating, respectively. Trait mindfulness at Time 1 did not prospectively predict pain interference, pain hypervigilance, fear of pain, or disability due to pain at Time 2.
| Time 2 pain outcome | Time 1 predictor | |||||||
|---|---|---|---|---|---|---|---|---|
| Trait mindfulness | Pain outcome | |||||||
| β | SE | Beta | P-value | β | SE | Beta | P-value | |
| Pain intensity | −0.700 | 0.249 | −0.396 | 0.010 | 0.715 | 0.176 | 0.573 | <0.001 |
| Pain rating | −1.580 | 0.589 | −0.395 | 0.013 | 0.537 | 0.151 | 0.525 | 0.002 |
| Fear of pain | −0.159 | 0.281 | −0.117 | 0.578 | 0.050 | 0.201 | 0.052 | 0.806 |
| Pain hypervigilance | −0.014 | 0.264 | −0.009 | 0.959 | 0.541 | 0.190 | 0.513 | 0.009 |
| Pain interference | −0.202 | 0.295 | −0.102 | 0.500 | 1.040 | 0.215 | 0.719 | <0.001 |
| Disability due to pain | −0.325 | 0.211 | −0.208 | 0.137 | 0.829 | 0.160 | 0.698 | <0.001 |
Significant values are bolded: P<0.05, SE: Standard error
DISCUSSION
Growing evidence suggests that mindfulness improves the experience of pain and benefits pain management. However, most of this work has been conducted with middle-class samples in urban or suburban areas. In the present study, we sought to extend existing literature and test whether trait mindfulness was associated with better pain outcomes in a rural sample. We found that greater trait mindfulness was generally associated with better self-reported pain outcomes in a sample with chronic back pain from a rural community. Furthermore, more mindful participants reported greater decreases in self-reported pain over a 3-month period. These findings suggest that mindfulness may be a viable intervention target for chronic pain in rural populations.
Cross-sectionally, greater mindfulness was correlated with a lower pain rating and pain intensity, as well as less pain interference and disability due to pain. All effects were medium-sized and consistent with the existing literature. Mindfulness was not significantly associated with fear of pain. Other studies[19] have also found a nonsignificant association, but the lack of effect may also stem from the abbreviated version of the measure or a smaller sample size if the effect is small. Future work should further explore the association between mindfulness and fear of pain.
A novel aspect of the current study was the assessment of pain outcomes at 2 time points (initial visit and ~3-month follow-up) and the ability to assess the prospective relation between trait mindfulness and change in pain outcomes. Greater trait mindfulness at the initial visit prospectively predicted lower pain rating and pain intensity at the follow-up session. Trait mindfulness entails greater present moment focus and self-awareness, which may have facilitated better adherence to standard non-operative care (e.g., physical therapy and interventional procedures) provided by the spine clinic, resulting in improved pain experience. Interestingly, trait mindfulness did not prospectively predict pain hypervigilance, fear of pain, pain interference, or disability due to pain. The lack of effects may be due to the small sample size not being powered to detect smaller effects. Alternatively, trait mindfulness may not predict changes in concern about pain. Additional work is necessary to understand the nuances in the relationship between trait mindfulness and different pain outcomes.
These findings indicate that it is important to understand the baseline relationships of trait mindfulness and pain outcomes in rural communities. Trait mindfulness may be a relevant individual difference factor that may indicate who will or will not respond more beneficially to standard care. Similarly, trait mindfulness may be an important focus for future interventions in rural samples with chronic pain. At a fundamental level, mindfulness-based interventions are intended to increase trait mindfulness through repeated state mindfulness practice. A few studies have tested mindfulness interventions in rural populations[31] but there are noted differences between urban and rural groups.[32] Importantly, the success of such interventions depends on factors such as culturally sensitive delivery strategies[33] for rural populations. Due to access, time, and travel constraints often experienced by rural populations, virtual or app-based intervention administration may be more effective.[34]
As with all studies, there are limitations to this study. The sample size was relatively small, and roughly half of the sample did not complete the follow-up survey. As such, the present dataset may lack the power to detect existing effects within the sample. Furthermore, participants were recruited from a single spine clinic. Thus, the findings may not be broadly generalizable to rural communities. Additional research is needed to replicate findings with other samples across rural locations. All data stemmed from self-report measures, which are prone to social desirability and misinterpretation. Further, abbreviated versions of validated measures were used. Although the abbreviated versions were reliable and correlated with one another in expected directions, construct validity was not assessed. Findings should be replicated with full versions of the self-report measures and behavioral measures. Finally, the study was correlational. Although data were collected at two timepoints, which may suggest directionality, causal claims cannot be made without experimental manipulation of mindfulness.
CONCLUSION
Given the higher prevalence of chronic pain and opioid prescription in rural communities, there is a critical need to identify potential targets of non-pharmaceutical intervention. The present study demonstrated that trait mindfulness was cross-sectionally and prospectively associated with better pain outcomes in a rural sample with chronic back pain. Mindfulness-based interventions may be an effective means of reducing pain experience and improving pain management. However, common barriers and needs of rural communities must be considered to tailor mindfulness interventions appropriately.
Ethical approval:
The research/study was approved by the Institutional Review Board at West Virginia University, Institutional Review Board, approval number 2204553315, dated 20th April 2022.
Declaration of patient consent:
The authors certify that they have obtained all appropriate patient consent forms. In the form, the patients have given their consent for clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript, and no images were manipulated using AI.
Financial support and sponsorship: Nil.
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