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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.

The goal of this research is to find an optimal adaptive treatment strategy to assist physicians in prescribing treatments for patients with chronic pain. This research proposes a two-stage stochastic programming (2SP) method to optimize a treatment procedure for interdisciplinary pain management. The 2SP model incorporates non-convex nonlinear mixed integer constraints, which are constructed based on data from a real pain management program. We derive a piecewise linear approximation method to approximate the non-convex nonlinear constraints in the 2SP model. Consequently, we formulate an equivalent mixed integer linear programming (MILP) model and then solve it using a commercial mixed-integer programming solver. A comparison of the policies generated by the MILP model with the policies generated by the original nonlinear 2SP model shows that, given limited CPU time, the policies generated by the MILP model outperform those of the original nonlinear 2SP model.

ObjectiveChronic 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).DesignThis cross-sectional study recruited a total of 395 Spanish participants suffering from several CMPDs.SettingCS symptoms were measured with the Spanish Version of the CSI. The total score (0–100) and a cutoff score of 40 were recorded.SubjectsA total of 395 participants were included.ResultsThe 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).ConclusionsGiven 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.

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.

A highly effective modern method of curbing or better management of chronic pain is now better understood and utilized by the medical community: interdisciplinary pain management program (IPMP). As modern medical professionals continue to move away solely from prescribing opioids for the treatment of chronic pain, the efficacious and continuously improving methods of interdisciplinary pain rehabilitation will almost certainly continue to grow in popularity. An IPMP always incorporates a structured and unified team of various mental and physical health professionals who regularly meet and update one another on individual patients. Typically, these programs are structured in order to address the rehabilitation and continuous monitoring and progress of patients, often those who suffer from pain conditions. Therefore, IPMP teams will carefully track patient progress and outcomes, often for years after completing direct treatment. Within this Chapter, a more thorough overview of striving for better and new pain rehabilitation due to the opioid crisis will be addressed. An overview of the concept, background, professional roles, distinctions from multidisciplinary care, case studies, and implementations of interdisciplinary medicine focused on chronic pain management and suggestions for future improvements in the fields will also be explored.

ObjectivesThe 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).MethodsA 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.ResultsIn 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.ConclusionsOur 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 (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 found to be associated with CS-related disorders. Previous studies have found 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 one 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 one general factor and four orthogonal factors, fit the CSI structure better than the unidimensional and the four-factor models. Additional analyses indicated substantial reliability for the general factor [i.e. Cronbach α= 0.92; Omega ω= 0.95; and omega hierarchical ω-h= 0.89]. Reliability results for the four 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 Central Sensitization Inventory (CSI) in a large multi-country sample. The CSI is currently considered the leading self-report measure of central sensitization-related symptoms worldwide.

Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best tre...

Background Context The Central Sensitization Inventory (CSI) is a valid and reliable patient-reported instrument designed to identify patients whose presenting symptoms may be related to central sensitization (CS). Part A of the CSI measures a full array of 25 somatic and emotional symptoms associated with CS, and Part B asks if patients have previously been diagnosed with one or more specific central sensitivity syndromes (CSSs) and related disorders. The CSI has previously been validated in a group of patients with chronic pain who were screened by a trained psychiatrist for specific CSS diagnoses. It is currently unknown if the CSI can be a useful treatment-outcome assessment tool for patients with chronic spinal pain disorder (CSPD) who are not screened for comorbid CSSs. It is known, however, that previous studies have identified CS-related symptoms, and comorbid CSSs, in subsets of patients with CSPDs. Studies have also shown that CS-related symptoms can be influenced by cognitive and psychosocial factors, including abuse history in both childhood and adulthood, sleep disturbance, catastrophic and fear-avoidant cognitions, and symptoms of depression and anxiety. Purpose This study aimed to evaluate CSI scores, and their associations with other clinically relevant psychosocial variables, in a cohort of patients with CSPD who entered and completed a functional restoration program. Study Design/Setting A retrospective study of prospectively collected data from a cohort study of patients with CSPD, who completed the CSI at admission to, and discharge from, an interdisciplinary function restoration program (FRP) was carried out. Patient Sample A cohort of 763 patients with CSPD comprised the study sample. Outcome Measures Clinical interviews evaluated mood disorders and abuse history. A series of self-reported measures evaluated comorbid psychosocial symptoms, including pain intensity, pain-related anxiety, depressive symptoms, somatization symptoms, perceived disability, and sleep disturbance, at FRP admission and discharge. Methods Patients were grouped into five severity level groups, from mild to extreme, based on total CSI scores, at FRP admission, and then again at discharge. The FRP included a quantitatively directed and medically supervised exercise process, as well as a multimodal psychosocial disability management component. Results The CSI severity groups were strongly associated with Major Depressive Disorder and previous abuse history (p Conclusions In the present study, admission CSI scores were highly associated with previous CSS diagnoses, CS-related symptoms, and clinically relevant patient-reported psychosocial variables. All psychosocial variables, as well as scores on the CSI, were significantly improved at FRP discharge. The CSI may have important clinical utility, as a screener and as a treatment outcome measure, for patients with CSPD participating in an interdisciplinary FRP.

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.

As chronic pain contributes to tremendous personal and societal costs, efforts at identifying and understanding pain-related disability via the biopsychosocial model have become increasingly important in addressing pain-related health outcomes. This study attempted to compare the predictive ability of the Pain Disability Questionnaire against other established measures in terms of health and pain-related outcomes. The sample consisted of 254 adult chronic pain patients seeking treatment through an interdisciplinary chronic pain management clinic. Participants were administered a battery of assessments including the Pain Disability Questionnaire and other established measures of health and pain-related outcomes (e.g., NIH PROMIS measures) at baseline and post-treatment time points. Results demonstrated convergent validity between the Pain Disability Questionnaire and the other study measures. Hierarchical regression analyses revealed significant associations between pain-related disability as measured by the Pain Disability Questionnaire and a range of biopsychosocial outcomes. Pain Disability Questionnaire scores, as placed in categorical severity levels, demonstrated good discriminative abilities in terms of predicting health-related factors. These findings support the clinical use of the Pain Disability Questionnaire as an empirically supported predictor of health-related outcomes as compared with other established measures of pain and health outcomes.

Fear-avoidance (FA) beliefs are significantly associated with the experience of pain, especially when the pain becomes chronic in nature. The anticipated threat of intense pain will often result in the constant vigilance and monitoring of pain sensations, which, in turn, can cause even low-intensity sensations of pain to become unbearable for the person. Just the anticipation of increased pain or reinjury can further stimulate avoidance behaviors. A vicious cycle may develop, in which fears of increased pain or reinjury contribute to the avoidance of many activities, leading to inactivity and, ultimately, to greater disability. Anyone who assesses and treats pain-related disability should also be prepared to assess and treat pain-related FA.

Aims: To evaluate whether a biobehavioral intervention would be more effective than a self-care intervention or no intervention in reducing psychosocial distress, reducing pain, and improving functioning in patients with an acute myofascial temporomandibular disorder (m-TMD). Methods: Participants (n = 435) were from community dental clinics in the Dallas-Fort Worth Metroplex who were seeking treatment for their acute TMD symptoms and were recruited between 2008 and 2013. The participants were diagnosed using the Research Diagnostic Criteria for TMD (RDC/TMD) and assigned to a biobehavioral intervention, self-care intervention, or no intervention. Three outcomes were assessed: psychosocial distress, pain, and functioning; and treatment effectiveness was assessed according to TMD diagnosis. Outcome evaluations were conducted immediately postintervention as well as at 1 and 2 years postintervention. Analyses were conducted using two-level hierarchical multilevel linear models (MLMs). Results: Contrary to expectations, patients did not respond differently to the intervention based on their TMD diagnosis. Acute m-TMD patients, especially those with other comorbid TMD diagnoses, reported the highest levels of pain and pain-related symptoms and disability. They also exhibited poorer jaw functioning, especially if they were at high risk for chronic TMD. Conclusion: This study indicates that acute m-TMD tends to result in more severe symptom presentations, particularly if diagnosed in combination with other TMD comorbidities. Additionally, patients do not appear to respond better to biobehavioral or self-care intervention on the basis of their TMD diagnosis.

The objectives of this study: (1) to assess whether Multidimensional Pain Inventory (MPI) profiles predicted differential responses to a functional restoration program (FRP) in chronic disabling occupational musculoskeletal disorder (CDOMD) patients; (2) to examine whether coping style improves following FRP; and (3) to determine whether discharge MPI profiles predict discharge psychosocial and 1-year socioeconomic outcomes.Consecutive CDOMD patients (N=716) were classified into Adaptive Coper (AC, n=209), Interpersonally Distressed (ID, n=154), Dysfunctional (DYS, n=310), and Anomalous (n=43) using the MPI, and reclassified at discharge. Profiles were compared on psychosocial measures and 1-year socioeconomic outcomes. An intent-to-treat sample analyzed the effect of drop-outs on treatment responsiveness.The MPI classification significantly predicted program completion (P=0.001), although the intent-to-treat analyses found no significant effects of drop-out on treatment responsiveness. There was a significant increase in the number of patients who became AC or Anomalous at FRP discharge and a decrease in those who were ID or DYS. Patients who changed or remained as DYS at FRP discharge reported the highest levels of pain, disability, and depression. No significant interaction effect was found between MPI group and time for pain intensity or disability. All groups improved on psychosocial measures at discharge. DYS patients had decreased work retention and a greater health care utilization at 1 year.An FRP was clinically effective for CDOMD patients regardless of initial MPI profiles. The FRP modified profiles, with patients changing from negative to positive profiles. Discharge DYS were more likely to have poor 1-year outcomes. Those classified as Anomalous had a good prognosis for functional recovery similar to ACs.

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.

John C Licciardone,1 Robert J Gatchel,2 Nicole Phillips,3 Subhash Aryal4 1Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA; 2Department of Psychology, College of Science, University of Texas at Arlington, Arlington, TX, USA; 3Department of Microbiology, Immunology and Genetics, University of North Texas Health Science Center, Fort Worth, TX, USA; 4Department of Biostatistics and Epidemiology, Institute for Patient Safety, University of North Texas Health Science Center, Fort Worth, TX, USA 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 6months 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. Keywords: PRECISION Pain Research Registry, low back pain, physical functioning, quality of life, opioids, codeine, nonsteroidal anti-inflammatory drugs, pharmacogenetics, precision medicine, biopsychosocial model

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.

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.

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.

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.

It is seen that as the general population is rapidly aging, there is a rise in chronic illnesses. This creates much strain on many organizations dealing with the management of human resources as the number of workers to select from is declining. In this chapter, we will analyze the most effective rehabilitation among the elderly as well as taking future actions into consideration in limiting the issues when it comes to the rise in chronic illnesses with aging.

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

Older adults are usually defined as 60 years of age or older. Currently, there are about 35 million older Americans, which is about 12.4% of the American population. Chronic persistent pain is caused by different biopsychosocial factors; some of these factors include increased risk of falling and potential comorbid psychological issues. In the best case, all these factors need to be included in the treatment planning to create the most effective treatment available to the patients. The field of pain management has come a long way, from a simplistic biomedical approach to a more comprehensive biopsychosocial approach which requires the close interdisciplinary collaboration of healthcare professionals and patients. As the most successful treatment, the multimodal, interdisciplinary approach is established. The article describes as a general introduction the necessities for a successful treatment of chronic pain patients including the elderly. This chapter also covers several interdisciplinary treatments and what has been added or adapted as they continued to develop. This continuing shift has resulted in the transformative care model, which connects the healthcare system to the patient in a way that patients are able to continue their treatment and adhere to the treatment program through use of the Internet.

Musculoskeletal pain is the most common single type of chronic pain. That is why this chapter specifically focuses on musculoskeletal pain and disability and what it consists of. Various common forms of musculoskeletal disorders, diagnosing strategies, and treatment strategies for specific musculoskeletal disorders (i.e., low back pain, arthritis, gout, tendon injury, and carpal tunnel syndrome) are discussed. Potential causation theories for musculoskeletal disorders are reviewed as to help discover why certain patients develop musculoskeletal disorders. Musculoskeletal disorders typically involve an integrated complex interaction of many biopsychosocial factors. These complications require the need to treat in a more integrated manner, using strengths from many disciplines to give the injured worker the best chance of recovery. Even with markedly varying economic, occupational, social, and worker compensation programs, the interdisciplinary approach to treating musculoskeletal disorders has been independently confirmed as being an effective treatment method. Therefore, it is essential for treatments to incorporate biopsychosocial approaches with an interdisciplinary treatment management style, making such a symptom management approach more accessible to the patients with musculoskeletal disorders.

This chapter discusses AARP (formerly known as the American Association of Retired Persons), the largest nonprofit organization dedicated to tackling common challenges of aging individuals. As the number of individuals over the age of 65 steadily increases, the demand for more resources and services compatible with aging adults increases as well. Issues including health, hunger, income, housing, and social isolation are all barriers older adults may face. Within the contents of this chapter lie the efforts of AARP, the AARP Foundation, and their affiliates used to knock down these barriers and improve the quality of life for aging adults. The AARP Foundation is one of the four nonprofit charitable affiliates of AARP, specifically focusing to provide the basic standards of living for those older adults in need. Additional services and initiatives provided by AARP are legal aid, employment resources, and Disrupt Aging, a book helping older adults understand the aging process. Many other nonprofit organizations and their specific focuses in helping aging individuals are discussed, including the Alzheimer’s Association, the American Geriatric Society, and more. While there are many organizations dedicated to improving the quality of life of aging individuals, there will continue to be new challenges that arise.