STRONG STAR and the Consortium to Alleviate PTSD: Shaping the future of combat PTSD and related conditions in military and veteran populations.

The STRONG STAR Consortium (South Texas Research Organizational Network Guiding Studies on Trauma and Resilience) and the Consortium to Alleviate PTSD are interdisciplinary and multi-institutional research consortia focused on the detection, diagnosis, prevention, and treatment of combat-related posttraumatic stress disorder (PTSD) and comorbid conditions in military personnel and veterans. This manuscript outlines the consortia's state-of-the-science collaborative research model and how this can be used as a roadmap for future trauma-related research. STRONG STAR was initially funded for 5 years in 2008 by the U.S. Department of Defense's (DoD) Psychological Health and Traumatic Brain Injury Research Program. Since the initial funding of STRONG STAR, almost 50 additional peer-reviewed STRONG STAR-affiliated projects have been funded through the DoD, the U.S. Department of Veterans Affairs (VA), the National Institutes of Health, and private organizations. In 2013, STRONG STAR investigators partnered with the VA's National Center for PTSD and were selected for joint DoD/VA funding to establish the Consortium to Alleviate PTSD. STRONG STAR and the Consortium to Alleviate PTSD have assembled a critical mass of investigators and institutions with the synergy required to make major scientific and public health advances in the prevention and treatment of combat PTSD and related conditions. This manuscript provides an overview of the establishment of these two research consortia, including their history, vision, mission, goals, and accomplishments. Comprehensive tables provide descriptions of over 70 projects supported by the consortia. Examples are provided of collaborations among over 50 worldwide academic research institutions and over 150 investigators.

Establishing Central Sensitization-Related Symptom Severity Subgroups: A Multicountry Study Using the Central Sensitization Inventory.

OBJECTIVES: The goal of this study was to identify central sensitization-related symptom severity subgroups in a large multicountry sample composed of patients with chronic pain and pain-free individuals using the Central Sensitization Inventory (CSI). METHODS: A large, pooled international (N = 8 countries) sample of chronic pain patients plus healthy subjects (total N = 2,620) was randomly divided into two subsamples for cross-validation purposes. First, a hierarchical cluster analysis (HCA) was performed using CSI item-level data as clustering variables (test sample; N = 1,312). Second, a latent profile analysis (LPA) was conducted to confirm the optimal number of CSI clusters (validation sample; N = 1,308). Finally, to promote implementation in real-world clinical practice, we built a free online Central Sensitization Inventory Symptom Severity Calculator. RESULTS: In both HCA (N = 1,219 valid cases) and LPA (N = 1,245 valid cases) analyses, a three-cluster and three-profile solution, respectively, emerged as the most statistically optimal and clinically meaningful. Clusters were labeled as follows: (i) Low Level of CS-Related Symptom Severity, (ii) Medium Level of CS-Related Symptom Severity, and (iii) High Level of CS-Related Symptom Severity. CONCLUSIONS: Our results indicated that a three-cluster solution clearly captured the heterogeneity of the CSI data. The calculator might provide an efficient way of classifying subjects into the cluster groups. Future studies should analyze the extent to which the CSI cluster classification correlates with other patient-reported and objective signs and symptoms of CS in patients with chronic pain, their associations with clinical outcomes, health-related costs, biomarkers, (etc.), and responsiveness to treatment.

Central Sensitization in Chronic Musculoskeletal Pain Disorders in Different Populations: A Cross-Sectional Study.

OBJECTIVE: Chronic musculoskeletal pain disorders (CMPDs) are among the leading causes of disabilities across populations, resulting in high social and financial burden. This persistent pain condition may include the central sensitization (CS) phenomenon, which implies a wide range of symptoms and that may be taken into account in CMPD treatment. CS symptoms can be measured by the Central Sensitization Inventory (CSI). The aims of the study were to describe CS symptoms in patients suffering from several CMPDs and to analyze differences due to gender, age, and body mass index (BMI). DESIGN: This cross-sectional study recruited a total of 395 Spanish participants suffering from several CMPDs. SETTING: CS symptoms were measured with the Spanish Version of the CSI. The total score (0-100) and a cutoff score of 40 were recorded. SUBJECTS: A total of 395 participants were included. RESULTS: The mean CSI total score for the whole sample was 24.6 ± 12.0 points. CSI total score had subclinical values in the whole sample, whereas participants with scores >40 were found across different CMPDs, such as low back pain (37.8%) and neck pain (32.4%); 14.6% of females and 1.7% of males presented CSI scores >40. Patients showed significant differences in CSI cutoff point by gender (P = 0.010) and CSI total score by age (P = 0.014). CONCLUSIONS: Given the high prevalence of clinically relevant CSI scores (>40) in people with a CMPD, especially low back pain and neck pain, we recommend that clinicians supplement their assessment with the CSI for improved decision-making during treatment.

Cross-cultural adaptation and validity of the Spanish fear-avoidance components scale and clinical implications in primary care.

BACKGROUND: Pain-related fear-avoidance (FA) is a common problem affecting many patients with painful medical conditions. As there is great interest in the clinical importance of the relationship between FA and disability, several questionnaires have been developed to measure FA. The Fear-Avoidance Components Scale (FACS) is a recently developed patient-reported instrument that addresses critical issues not previously considered in previous FA-related questionnaires. The original English version of the FACS demonstrated good reliability, internal consistency, and construct, criterion, and predictive validity. Two factors were determined: General Fear Avoidance and Types of Activities That are Avoided. The aim of this study was to to translate the FACS into European-style Spanish (FACS-Sp), and validate its psychometric properties. METHODS: This two-stage psychometric study included 330 subjects with various chronic musculoskeletal pain disorders. An initial translation and cross-cultural adaptation of the FACS, from English to Spanish, was performed. Then, critical psychometric properties were analysed, including internal consistency by Cronbach's α coefficients, structural validity from the Maximum Likelihood Extraction (MLE), and convergent validity by Pearson correlation with the Central Sensitization Inventory (CSI). RESULTS: This study reports for the first time the psychometric properties of the Spanish version of the FACS. Total scores ranged from 0 to 88 points, with a mean of 30.49 (±17.18). The FACS-Sp showed a high internal consistency for factor 1 (α = 0.902) and factor 2 (α = 0.88). Factor structure was two-dimensional and supported structural validity, accounting for 48.75% of the total variance. Convergent validity analysis found a significant Pearson correlation r = 0.414. CONCLUSION: This study reports for the first time the psychometric properties of the Spanish version of the FACS-Sp. Psychometric properties supported the validation of FACS-Sp and ensured the conceptual equivalence with the original English version. In primary care and chronic pain rehabilitation, FA assessment is crucial for clinical decision-making and treatment guidance. The FACS-Sp offers a new measure of FA in Spanish speaking populations. Future research on the FACS-Sp should evaluate test-retest reliability, treatment responsiveness and psychometric comparisons with other translated versions.

Osteopathic Medical Care With and Without Osteopathic Manipulative Treatment in Patients With Chronic Low Back Pain: A Pain Registry-Based Study.

CONTEXT: The OSTEOPATHIC Trial demonstrated substantial improvement in pain intensity, decreased need for rescue medication for pain, and greater likelihood of recovery in patients with chronic low back pain who received 6 osteopathic manipulative treatment (OMT) sessions over 3 months. OBJECTIVE: To assess osteopathic medical care and the effectiveness of OMT for chronic low back pain in a real-world setting without the constraints of a rigid research protocol. METHODS: An observational study of 445 adults with chronic low back pain who had an established osteopathic physician (ie, DO) or allopathic physician (ie, MD) was conducted within the PRECISION Pain Research Registry from April 2016 through February 2019. Primary outcome measures included a numerical rating scale for low back pain intensity, the Roland-Morris Disability Questionnaire for back-related functioning, and use of nonsteroidal anti-inflammatory drugs or opioids for low back pain. RESULTS: A total of 79, 48, and 318 patients, respectively, were treated by DOs who used OMT, DOs who did not use OMT, or MDs. Patients treated by DOs who used OMT reported significantly lesser low back pain intensity (mean numerical rating score, 5.6; 95% CI, 5.1-6.1 vs 6.1; 95% CI, 5.9-6.3; P=.04) and back-related disability (mean Roland-Morris Disability score, 12.4; 95% CI, 11.1-13.8 vs 14.4; 95% CI, 13.7-15.0; P=.009) than patients treated by MDs. Patients treated by DOs who used OMT also reported less frequent use of nonsteroidal anti-inflammatory drugs (multivariate odds ratio, 0.41; 95% CI, 0.24-0.70; P=.001) or opioids (multivariate odds ratio, 0.52; 95% CI, 0.28-0.98; P=.04). There were no significant differences in primary outcomes between DOs who did not use OMT and MDs. CONCLUSION: This study of community-based patients in a pain research registry supports the effectiveness of OMT as an integral component of osteopathic medical care for chronic low back pain. Patients treated by DOs who did not use OMT did not experience better results than patients treated by MDs in any primary outcome measure. Further research is needed to more specifically compare the effects of OMT with other treatment effects that may be attributed to patient-DO interactions during medical encounters.

Cross-cultural adaptation of the Pain Medication Questionnaire for use in Brazil.

BACKGROUND: The Pain Medication Questionnaire (PMQ) assesses the risk of opioid abuse in people with non-oncological chronic pain. METHODS: This is a methodological study conducted at a hemotherapy centre in Recife, Pernambuco state, Brazil. A Cross-cultural adaptation was carried out by a committee of nine specialists, and we applied the PMQ to a pre-final sample of 40 individuals with sickle cell anemia, in addition to a sociodemographic and clinical questionnaire. RESULTS: The mean agreement indexes for PMQ equivalences were the following: semantic (0.996), idiomatic (0.970), experiential (0.991), conceptual (0.953), language clarity (0.991), practical relevance (0.906), and theoretical relevance (0.945). Assessment of the PMQ showed that 50% of participants obtained a score equivalent to medium risk of opioid abuse. Cronbach's alpha coefficient for the adapted PMQ instrument was 0.705, ranging from 0.641 to 0.736 among its items. CONCLUSION: The cross-cultural adaptation of the Pain Medication Questionnaire was satisfactory and easy to apply in the Brazilian population. It is clinically relevant, contributing professional practice and enlightening patients with sickle cell anemia on their behavioral dynamics with respect to opioid consumption. It will also contribute to teaching and research, because it is a useful tool for investigating the risk of abusive behavior in people with chronic pain.

Transitioning from acute to chronic pain: a simulation study of trajectories of low back pain.

BACKGROUND: Identifying how pain transitions from acute to chronic is critical in designing effective prevention and management techniques for patients' well-being, physically, psychosocially, and financially. There is an increasingly pressing need for a quantitative and predictive method to evaluate how low back pain trajectories are classified and, subsequently, how we can more effectively intervene during these progression stages. METHODS: In order to better understand pain mechanisms, we investigated, using computational modeling, how best to describe pain trajectories by developing a platform by which we studied the transition of acute chronic pain. RESULTS: The present study uses a computational neuroscience-based method to conduct such trajectory research, motivated by the use of hypothalamic-pituitary-adrenal (HPA) axis activity-history over a time-period as a way to mimic pain trajectories. A numerical simulation study is presented as a "proof of concept" for this modeling approach. CONCLUSIONS: This model and its simulation results have highlighted the feasibility and the potential of developing such a broader model for patient evaluations.

Considerations in addressing the opioid epidemic and chronic pain within the USA.

This article reviews the complexities of the opioid epidemic, considering recent research involving the current state of the opioid epidemic; chronic pain and its role in the crisis; the properties of opioids and how they interact with human neurobiology; the effectiveness and risks of opioids as a treatment for chronic pain; opioid addiction and dependence; and pharmacological and psychological interventions for opioid addiction, opioid dependence, and chronic pain management. Opioid abuse can be reduced with the availability and access to treatment facilities for opioid detoxification; using interdisciplinary treatment models for chronic pain, opioid addiction and dependence; conducting more research in the areas of opioid addiction and opioid dependence; and shifting to an increase in nonpharmacological, less invasive treatments for pain.

Effects of Opioids and Nonsteroidal Anti-Inflammatory Drugs on Chronic Low Back Pain and Related Measures: Results from the PRECISION Pain Research Registry.

Measuring treatments used by 202 patients with chronic low back pain in the PRECISION Pain Research Registry, this study determined the associations of opioid and nonsteroidal anti-inflammatory drug (NSAID) therapy with clinical status. More than one-fourth of patients did not use nonpharmacologic treatments for low back pain. Patients age 50-59 and 60-79 years old were more likely to use opioids than younger patients. Patients using opioids reported greater pain and back-related disability than did patients using NSAIDs. Patients concurrently using opioids and NSAIDs reported greater back-related disability and poorer quality of life than did patients using no or other pharmacologic therapy. No significant associations between pharmacologic therapy and clinical status remained after controlling for potential confounders. Neither opioids nor opioids combined with NSAIDs were more effective than just NSAIDs. Greater use of nonpharmacologic therapies and better second-line, nonopioid pharmacologic therapies appear necessary for more effective treatment of chronic low back pain.

The Pain Registry for Epidemiological, Clinical, and Interventional Studies and Innovation (PRECISION): registry overview and protocol for a propensity score-matched study of opioid prescribing in patients with low back pain.

BACKGROUND: Low back pain is the leading cause of disability worldwide. Nonsteroidal anti-inflammatory drugs (NSAIDs) are recommended as the first-line pharmacologic therapy for subacute or chronic low back pain, with opioids reserved for patients who fail on NSAIDs. CYP2D6, CYP2C9, and CYP2C19 genes have variants that place patients using analgesics at risk for adverse events. However, precision medicine based on pharmacogenetically informed prescribing is becoming more feasible as genotyping costs decline. This study aims to compare opioids vs NSAIDs in treating adults with subacute or chronic low back pain under the alternative models of usual care and precision medicine. METHODS: An observational cohort study within the Pain Registry for Epidemiological, Clinical, and Interventional Studies and Innovation (PRECISION) will be used to simulate a randomized controlled trial. Patients using opioids and NSAIDs will be optimally matched at baseline using propensity scores. A saliva sample will also be collected to determine patient genotypes for drug metabolism based on CYP2D6 (single-gene model) and CYP2D6, CYP2C9, and CYP2C19 (multigene model). Prescribing that is concordant with pharmacogenetically informed care under these models will be considered "low risk", whereas discordant prescribing will be considered "high risk". Primary outcomes will be assessed over 6 months using a Numerical Rating Scale for pain, the Roland-Morris Disability Questionnaire, and the Drug Adverse Events Index. Secondary outcomes will be assessed using quality-of-life measures. An estimated 600 patients will be enrolled to acquire at least 400 patients after attrition and allowing for unmatched patients. This will achieve a statistical power of at least 80% in detecting the effect sizes ranging from 0.35 (small-medium effect) to 0.69 (medium-large effect). DISCUSSION: This PRECISION Pain Research Registry study builds on the concepts espoused in the Precision Medicine Initiative and addresses long-term goals established by the National Institutes of Health by assessing how precision medicine may prevent and treat chronic pain.

Psychometric validation of the Serbian version of the Fear Avoidance Component Scale (FACS).

OBJECTIVE: The Fear Avoidance Components Scale (FACS) is a new patient-reported outcome (PRO) questionnaire designed to comprehensively evaluate fear avoidance (FA) beliefs and attitudes in persons with painful medical conditions. The original English version has demonstrated acceptable psychometric properties, including concurrent and predictive validity. Two factors have been identified: 1. general fear avoidance; and 2. types of activities that are avoided. METHODS: The FACS was first translated into Serbian, and then psychometrically validated. A cohort of 322 chronic musculoskeletal pain subjects completed the FACS-Serb and additional FA-related patient-reported outcome (PRO) measures. Their FACS-Serb scores were then compared to a cohort of 68 acute pain subjects. RESULTS: Test-retest reliability (ICC2,1 = 0.928) and internal consistency for both Factors (Cronbach α 0.904 and 0,880 respectively) were very good. An acceptable fit was found with a confirmatory factor analysis of the 2-factor model found with the original English version of the FACS. Strong associations were found among FACS-Serb scores and other PRO measures of pain catastrophizing, depressive/anxiety symptoms, perceived disability, and pain intensity (p<0.001 for all analyses). FACS-Serb total scores, separate Factor scores, and subjective pain ratings were significantly higher in the chronic vs. acute pain cohorts (p<0.001 for all analyses). CONCLUSIONS: The FACS-Serb demonstrated strong psychometric properties, including strong reliability and internal consistency, criterion validity (through associations with other FA-related PRO measures), and discriminant validity (through comparisons with a separate acute pain cohort). The FACS-Serb appears to be a potentially useful pain-related assessment tool.

Whole-cortical graphical networks at wakeful rest in young and older adults revealed by functional near-infrared spectroscopy.

A good understanding of age-dependent changes and modifications in brain networks is crucial for fully exploring the effects of aging on the human brain. Few reports have been found in studies of functional brain networks using functional near-infrared spectroscopy (fNIRS). Moreover, little is known about the feasibility of using fNIRS to assess age-related changes in brain connectomes. This study applied whole brain fNIRS measurement, combined with graph theory analysis, to assess the age-dependent changes in resting-state brain networks. Five to eight minutes of resting-state brain hemodynamic signals were recorded from 48 participants (18 young adults and 30 older adults) with 133 optical channels covering the majority of the cortical regions. Both local and global graph metrics were computed to identify the age-related changes of topographical brain networks. Older adults showed an overall decline of both global and local efficiency compared to young adults, as well as the decline of small-worldness. In addition, young adults showed the abundance of hubs in the prefrontal cortex, whereas older adults revealed the hub shifts to the sensorimotor cortex. These obvious shifts of hubs may potentially indicate decreases of the decision-making, memory, and other high-order functions as people age. Our results showed consistent findings with published literature and also demonstrated the feasibility of whole-head fNIRS measurements to assess age-dependent changes in resting-state brain networks.

Transitioning from Acute to Chronic Pain: An Examination of Different Trajectories of Low-Back Pain.

Traditionally, there has been a widely accepted notion that the transition from acute to chronic pain follows a linear trajectory, where an injury leads to acute episodes, subacute stages, and progresses to a chronic pain condition. However, it appears that pain progression is much more complicated and individualized than this original unsupported assumption. It is now becoming apparent that, while this linear progression may occur, it is not the only path that pain, specifically low-back pain, follows. It is clear there is a definite need to evaluate how low-back pain trajectories are classified and, subsequently, how we can more effectively intervene during these progression stages. In order to better understand and manage pain conditions, we must examine the different pain trajectories, and develop a standard by which to use these classifications, so that clinicians can better identify and predict patient-needs and customize treatments for maximum efficacy. The present article examines the most recent trajectory research, and highlights the importance of developing a broader model for patient evaluation.

The Biopsychosocial-Digital Approach to Health and Disease: Call for a Paradigm Expansion.

Digital health is an advancing phenomenon in modern health care systems. Currently, numerous stakeholders in various countries are evaluating the potential benefits of digital health solutions at the individual, population, and/or organizational levels. Additionally, driving factors are being created from the customer-side of the health care systems to push health care providers, policymakers, or researchers to embrace digital health solutions. However, health care providers may differ in their approach to adopt these solutions. Health care providers are not assumed to be appropriately trained to address the requirements of integrating digital health solutions into daily everyday practices and procedures. To adapt to the changing demands of health care systems, it is necessary to expand relevant paradigms and to train human resources as required. In this article, a more comprehensive paradigm will be proposed, based on the 'biopsychosocial model' of assessing health and disease, originally introduced by George L Engel. The "biopsychosocial model" must be leveraged to include a "digital" component, thus suggesting a 'biopsychosocial-digital' approach to health and disease. Modifications to the "biopsychosocial" model and transition to the "biopsychosocial-digital" model are explained. Furthermore, the emerging implications of understanding health and disease are clarified pertaining to their relevance in training human resources for health care provision and research.

Research Agenda for the Prevention of Pain and Its Impact: Report of the Work Group on the Prevention of Acute and Chronic Pain of the Federal Pain Research Strategy.

After the 2011 Institute of Medicine report on chronic pain, the Interagency Pain Research Coordinating Committee (IPRCC) was created to enhance research efforts among federal agencies. The IPRCC and Office of Pain Policy at the National Institutes of Health collaborated to identify gaps in knowledge and address them via a Federal Pain Research Strategy (FPRS). Interdisciplinary work groups (WGs) were established to make research recommendations in 5 areas: prevention of acute and chronic pain, acute pain and acute pain management, transition from acute to chronic pain, chronic pain and chronic pain management, and disparities in pain and pain care; cross-cutting issues were also considered. The objective was to provide guidance on current research and to make recommendations about addressing identified gaps. Findings from the Prevention of Acute and Chronic Pain WG are summarized in this article. The WG created subgroups to develop recommendations on specific aspects of prevention of acute and chronic pain, including: public education, primary prevention, secondary prevention, tertiary prevention, transition from acute to chronic pain, and cross-cutting mediators. No formal literature review was conducted; however, external advisors were available and consulted as needed. Seven key research priorities were identified. The one deemed "greatest near-term value" was to optimize public health strategies to educate patients on managing pain; that deemed "most impactful" was to determine an association between patient and intervention factors. Other recommendations were related to the epidemiology of acute pain from health care procedures, the epidemiology of acute pain from work-related injuries, safety and effectiveness of management of pain associated with health care procedures, optimizing approaches to acute postsurgical pain, and safety and effectiveness of early interventions for tertiary prevention. Stakeholders, including federally sponsored research programs, researchers, health care providers, policy makers, patients, and others should work together to implement recommendations and address important gaps. PERSPECTIVE: The FPRS Steering Committee created 5 WGs to identify research needs and make recommendations in key areas of research. This article reports the results of one-the Prevention of Acute and Chronic Pain group. Several research priorities emerged, and recommendations made to fill existing knowledge gaps.

Does the Length of Disability between Injury and Functional Restoration Program Entry Affect Treatment Outcomes for Patients with Chronic Disabling Occupational Musculoskeletal Disorders?

Purpose Functional restoration programs (FRPs), for patients with chronic disabling occupational musculoskeletal disorders (CDOMDs), have consistently demonstrated positive socioeconomic treatment outcomes, including decreased psychosocial distress and increased work return. The pre-treatment length of disability (LOD), or time between injury and treatment admission, has been shown to influence FRP work outcomes. Some studies have found that shorter LOD is associated with better work outcomes. However, few studies have actually examined cohorts with LOD duration longer than 18 months. This present study evaluated the effects of extended LOD (beyond 18 months) on important treatment outcomes. Methods A total cohort of 1413 CDOMD patients entered an FRP. Of those, 312 did not complete the program, so they were eliminated from outcome analyses. The 1101 patients who completed the FRP were classified based on LOD: Late Rehabilitation (LR, 3-6 months, n = 190); Chronic Disability (CD, 7-17 months, n = 494); and Late Chronic Disability (LCD). The LCD, in turn, consisted of four separate subgroups: 18-23 months (LCD-18, n = 110); 24-35 months (LCD-24, n = 123); 36-71 months (LCD-36, n = 74); and 72+ months (LCD-72, n = 110). Patients were evaluated upon admission and were reassessed at discharge. Those patients who chose to pursue work goals post-treatment (n = 912) were assessed 1-year later. Results Longer LOD was associated with less likelihood of completing the FRP (p < .001). Compared to the other LOD groups, a relatively large percentage of patients (47%) in the longest- disability group were receiving social security disability benefits. Associations were found between longer LOD and more severe patient-reported pain, disability, and depressive symptoms at treatment admission. At discharge, symptom severity decreased for these patient-reported variables in all LOD groups (p < .001). Using binary logistic regressions, it was found that LOD significantly predicted work-return (Wald = 11.672, p = .04) and work-retention (Wald = 11.811, p = .04) after controlling for covariates. Based on the LOD groups, the percentage of patients returning to, and retaining work, ranged from 75.6 to 94.1%, and from 66.7 to 86.3%, respectively. The odds of LCD-24 and LCD-72 patients returning to work were 2.9, and 7.4, respectfully, less likely, compared to LR patients. Furthermore, the odds of LCD-24 and LCD-72 patients retaining work were 3.3 and 3.8 times, respectively, less likely, compared to LR patients. Conclusions Long LOD was a risk factor for FRP non-completion, and was associated with more severe patient-reported variables, including pain intensity and perceived disability. Furthermore, long LOD was a significant predictor for work outcomes at 1 year following FRP discharge. Nevertheless, a large percentage of longer LOD (>24 months) patients had returned to work within the year after discharge (above 85%), and had retained at least part-time work 1-year later (above 66%). These results support the effectiveness of the FRP in mitigating the effects of extended LOD in a large percentage of long-term LOD patients.

Dimensionality and Reliability of the Central Sensitization Inventory in a Pooled Multicountry Sample.

Central sensitization (CS) involves the amplification of neural signaling within the central nervous system, which evokes pain hypersensitivity. The Central Sensitization Inventory (CSI) assesses 25 overlapping health-related symptom dimensions that have been reported to be associated with CS-related disorders. Previous studies have reported satisfactory test-retest reliability and internal consistency, but factor analyses have exhibited conflicting results in different language versions. The purpose of this cross-sectional study was to thoroughly examine the dimensionality and reliability of the CSI, with pooled data from 1,987 individuals, collected in several countries. The principal component analysis suggested that 1 general factor of CS best described the structure. A subsequent confirmatory factor analysis revealed that a bifactor model, which accounted for the covariance among CSI items, with regard to 1 general factor and 4 orthogonal factors, fit the CSI structure better than the unidimensional and the 4-factor models. Additional analyses indicated substantial reliability for the general factor (ie, Cronbach α = .92; ω = .95; and ω hierarchical = .89). Reliability results for the 4 specific factors were considered too low to be used for subscales. The results of this study clearly suggest that only total CSI scores should be used and reported. PERSPECTIVE: As far as we know, this is the first study that has examined the factor structure and reliability of the CSI in a large multicountry sample. The CSI is currently considered the leading self-report measure of CS-related symptoms worldwide.

Biopsychosocial Measures Related to Chronic Low Back Pain Postural Control in Older Adults.

This study examined the biopsychosocial measures related to postural control in the growing population of older adults (i.e., 60 years and older). The sample of the study consisted of 129 older adults (M = 74.45, SD = 6.95), with 34 males and 95 females; 36 were classified with chronic low-back pain (CLBP), and 93 without chronic low-back pain (NCLBP). Physical and psychosocial constructs were analyzed as predictors for postural control measures. Additionally, gender and classification of low-back pain were examined as moderators for all physical and psychosocial measures. Results demonstrated that physical and psychosocial measures were able to significantly predict composite, visual, and vestibular balance measures, but not somatosensory or preference balance measures. The chair-stand test, modified sit-and-reach test, sleep disturbance, and balance efficacy were all identified as individually significant predictors. Gender and CLBP did not moderate the utility of any predictor variables. Results of the current study re-confirm the importance of utilizing the biopsychosocial approach for future research examining postural control in older adults.