Human Studies

Targeting individually based psychosocial profiles when treating children with chronic pain and their families is key to effective behavioral health intervention and in line with tenants of precision medicine. Extant research is primarily driven by variable-centered models that focus on broad, group-level differences. The current study adopts a person-centered approach, latent profile analysis (LPA), to identify patient subgroups. Cross-sectional data are presented from 366 children (8-17 years; M=14.48; SD=2.36) with chronic pain and a primary caregiver (94% mothers). LPA indicator variables were, self-reported: fatigue, internalizing symptoms, pain catastrophizing, and pain acceptance; parent-reported: pain catastrophizing and responses to child pain. One-way ANOVAs examined the effect of profiles on child age, pain, and function. LPA identified a four-profile solution. Class 1 (12%) demonstrated the lowest scores (conveying least risk) across 5 of 6 factors. Class 4 (37%) had the highest scores (conveying greatest risk) across all factors. Classes 2 (12%) and 3 (39%) demonstrated more variability across domains. Results revealed significant effects of profile based on child age, pain, and function. This study highlights differential presentation of treatment-modifiable domains within a large sample. LPA methodology is showcased to potentially facilitate clinical conceptualizations and tailored approaches to intervention in pediatric chronic pain. Perspective: This article presents a methodological and statistical approach that may be beneficial to better assess individual profiles of pediatric pain functioning. Tools that allow providers to better match patient presentation and intervention are in line with the tenants of precision medicine and may ultimately serve to improve child outcomes.

Patients with chronic pain demonstrate interpretational bias to pain and models of pain suggest interpretational bias affects subsequent pain experience. This study developed an interpretation bias modification for pain (IBM-P) and examined its efficacy. A total of 48 patients with chronic pain were recruited and randomly assigned to either the training group (n = 24) or the control group (n = 24). Interpretational bias, negative emotions, and attentional bias to pain-related stimuli were assessed before and after conducting IBM-P. The main results indicated that the training group showed less interpretational bias and negative emotions after IBM-P than the control group. The training group also gazed at neutral words longer than at "new" affective pain words after IBM-P than they did prior to the intervention. Furthermore, significant mediating effects of post-interpretational bias were found in the relationship between the group type and post-negative emotions and post-dwell time bias. These results suggest that IBM-P can modify interpretational bias which leads to changes in negative emotions and attentional bias. Future research is needed to confirm the effect of modifying interpretational bias and its clinical utility in the field of pain management. Perspective: This article investigated the efficacy of IBM-P and suggested that modifying interpretational bias is followed by changes in negative emotions and attentional bias. These findings may help health professionals understand the role of interpretational bias in chronic pain and encourage the potential use of IBM in pain management.

Past studies have shown that pain memories are often inaccurate, a phenomenon known as mnemonic pain bias. Pain memories are thought to play an important role on how future pain is felt. Recent evidence from our laboratory suggests that individuals who exaggerate past pain display increased superior temporal gyrus (STG) and parahippocampal gyrus (PHG) activity during the encoding of experimental painful stimulations, suggesting that these brain structures play an important role in pain memories.

The United States is in the midst of an opioid overdose epidemic, with a significant portion of the burden associated with prescription opioids. In response, the CDC released a Guideline for Prescribing Opioids for Chronic Pain, which promotes access to treatment for opioid use disorder. Decades of research have linked childhood adversity to negative health and risk behavior outcomes, including substance misuse. Our present study builds upon this work to examine the relationship between adverse childhood experiences (ACEs) and prescription opioid misuse. We compiled data from the Behavioral Risk Factor Surveillance System implemented by Montana and Florida in 2010 and 2011, respectively. Logistic regressions (run in 2017) tested the associations between ACEs and subsequent prescription pain medicine/opioid misuse outcomes in adulthood. ACEs were prevalent, with 62.7% of respondents in Montana and 50% in Florida reporting at least one ACE. The presence of ACEs was positively associated with prescription opioid misuse across both samples. Respondents reporting three or more ACEs had increased odds of taking opioids more than prescribed, without a prescription, and for the feeling they cause. Our results support a strong link between ACEs and prescription opioid misuse. Opportunities to prevent opioid misuse start with assuring safe, stable, nurturing relationships and environments in childhood and across the lifespan to prevent ACEs from occurring, and intervening appropriately when they do occur. Substance use prevention programs for adolescents, appropriate pain management and opioid prescribing protocols, and treatments for opioid use disorder can address ACEs by enhancing treatment safety and effectiveness and can reduce the intergenerational continuity of early adversity.