Psychometric Properties of the Pictorial Pain Interference Questionnaire for Assessing Functional Interference in Chronic Low Back Pain.

OBJECTIVE: To analyze the psychometric properties of the Pictorial Pain Interference Questionnaire (PPIQ) for evaluating functional interference in the population with chronic low back pain (CLBP). DESIGN: Cross-sectional study. SETTING: Rehabilitation Unit in a hospital. PARTICIPANTS: Ninety-nine patients with CLBP. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Functional interference was assessed using PPIQ. The following data were also collected: sociodemographic data; pain intensity (Numeric Pain Rating Scale [NPRS]); physical functioning (30-s arm curl, 30-s chair stand [30CST], and timed Up and Go [TUG] tests), fitness (International Physical Activity Questionnaire); quality of life (Short-Form 12 Health Survey version 1 [SF-12v1]); sleep quality (Spanish-validated 12-item Medical Outcomes Study Sleep scale [12-MOS Sleep]); anxiety and depression (Hospital Anxiety and Depression Scale [HADS]); and social support (Duke-UNK Functional Social Support Questionnaire). Internal consistency was analyzed using Cronbach's alpha, structural validity using exploratory factor analysis (EFA), and discriminant and convergent validity using bivariate analysis. RESULTS: Ninety-nine patients with CLBP were included (age [mean ± SD]: 54.37±12.44 y); women, 67.7%). The EFA extracted 2 factors: "physical function and "social and sleep," which explained 57.75% of the variance. Excellent internal consistency was observed for the overall PPIQ score (Cronbach's α=0.866). Convergent validity was observed between the PPIQ and other functional measures (ρ: 0.52 and -0.47 for the TUG and 30CST, respectively; P<.001) and with the following variables: physical and mental component summaries of the SF-12v1 (ρ: -0. 55 and -0.52, respectively (P<.001); anxiety and depression of the HADS (ρ: 0.47 and 0.59, respectively (P<.001); NPRS (ρ: 0.45; P<.001); and index 9 of the 12-MOS Sleep scale (r: 0.49; P<.001). CONCLUSIONS: The PPIQ is a valid instrument with good psychometric properties for measuring functional interference in people with CLBP. This questionnaire appears to be a feasible alternative when language or communication barriers exist in CLBP population.

Prevalence of diagnosed and undiagnosed osteoarthrosis and associated factors in the adult general Spanish population.

OBJECTIVE: To determine the prevalence and related factors of diagnosed osteoarthrosis (DO) and undiagnosed osteoarthrosis (UO) in the general Spanish adult population. SETTING: Cross-sectional study with data from the Spanish National Health Survey 2017. PARTICIPANTS: N=23,089 adults. Three groups of people were defined: DO, UO, and no osteoarthrosis (NO). MAIN MEASUREMENTS: Sociodemographic information, lifestyle (tobacco, alcohol, physical activity, body mass index) and health factors (intensity of pain, pain drug consumption, mental health, self-perceived health status, pain involvement in daily living) were collected. Descriptive and bivariate analyses were performed, and a multinomial logistic regression model for the factors associated with each group. RESULTS: The prevalence of DO was 22.4% (95%CI=21.8;22.9) and 0.9% (95%CI=0.8;1) of UO. With respect to NO, risk factors for DO and UO included higher pain levels and pain drug consumption. Better self-perceived health status was inversely related with both. More pain involvement in daily living was associated with increased risk of DO, but reduced risk of UO. CONCLUSIONS: The prevalence of DO and UO was similar to that reported in Europe, but slightly higher than in low/middle-income countries. It was more prevalent in females, older people, people with worse perceived health status and worse mental health. Higher pain levels and pain drug consumption were risk factors for DO and UO. Better self-perceived health status was protective. Pain involvement in daily living was a risk factor for DO, but protective for UO. Different public health strategies should be considered in view of this.

Virtual Reality for Upper Limb Rehabilitation in Patients With Obstetric Brachial Palsy: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Obstetric brachial palsy (OBP) is a pathology caused by complications during childbirth because of cervical spine elongation, affecting the motor and sensory innervation of the upper limbs. The most common lesion occurs on the C5 and C6 nerve branches, known as Erb-Duchenne palsy. The least common lesion is when all nerve roots are affected (C5-T1), which has the worst prognosis. Virtual reality (VR) is commonly used in neurological rehabilitation for the evaluation and treatment of physical deficits. OBJECTIVE: This systematic review aims to assess the efficacy of VR in the rehabilitation of upper limb function in patients with OBP. METHODS: A search was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines in several scientific databases-PubMed, Web of Science, PEDro, Cochrane, MEDLINE, Scopus, and CINAHL-without language or date restrictions and including articles published up to April 2023. The inclusion criteria were established according to the population, intervention, comparison, outcome, and study (PICOS) design framework: children aged <18 years diagnosed with OBP, VR therapy used in addition to conventional therapy or isolated, VR therapy compared with conventional therapy, outcomes related to OBP rehabilitation therapy, and randomized controlled trials (RCTs). The PEDro scale was used to assess the methodological quality of the RCTs, and the Cochrane Collaboration tool was used to assess the risk of bias. The Review Manager statistical software (version 5.4; The Cochrane Collaboration) was used to conduct the meta-analysis. The results were synthesized through information extraction and presented in tables and forest plots. RESULTS: In total, 5 RCTs were included in this systematic review, with 3 (60%) providing information for the meta-analysis. A total of 138 participants were analyzed. All the studies used semi-immersive or nonimmersive VR systems. The statistical analysis showed no favorable results for all outcomes except for the hand-to-mouth subtest of the Mallet scoring system (functional activity; standardized mean difference -0.97, 95% CI -1.67 to -0.27; P=.007). CONCLUSIONS: The evidence for the use of VR therapy for upper limb rehabilitation outcomes in patients with OBP was insufficient to support its efficacy and strongly recommend its use. Nevertheless, scientific literature supports the use of VR technologies for rehabilitation as it provides several advantages, such as enhancing the patient's motivation, providing direct feedback, and focusing the patient's attention during the intervention. Thus, the use of VR for upper limb rehabilitation in patients with OBP is still in its first stages. Small sample sizes; limited long-term analysis; lack of testing of different doses; and absence of International Classification of Functioning, Disability, and Health-related outcomes were present in the included RCTs, so further research is needed to fully understand the potential of VR technologies as a therapeutic approach for patients with OBP. TRIAL REGISTRATION: PROSPERO CRD42022314264; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=314264.

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review.

BACKGROUND: Frailty syndrome (FS) is one of the most common noncommunicable diseases, which is associated with lower physical and mental capacities in older adults. FS diagnosis is mostly focused on biological variables; however, it is likely that this diagnosis could fail owing to the high biological variability in this syndrome. Therefore, artificial intelligence (AI) could be a potential strategy to identify and diagnose this complex and multifactorial geriatric syndrome. OBJECTIVE: The objective of this scoping review was to analyze the existing scientific evidence on the use of AI for the identification and diagnosis of FS in older adults, as well as to identify which model provides enhanced accuracy, sensitivity, specificity, and area under the curve (AUC). METHODS: A search was conducted using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines on various databases: PubMed, Web of Science, Scopus, and Google Scholar. The search strategy followed Population/Problem, Intervention, Comparison, and Outcome (PICO) criteria with the population being older adults; intervention being AI; comparison being compared or not to other diagnostic methods; and outcome being FS with reported sensitivity, specificity, accuracy, or AUC values. The results were synthesized through information extraction and are presented in tables. RESULTS: We identified 26 studies that met the inclusion criteria, 6 of which had a data set over 2000 and 3 with data sets below 100. Machine learning was the most widely used type of AI, employed in 18 studies. Moreover, of the 26 included studies, 9 used clinical data, with clinical histories being the most frequently used data type in this category. The remaining 17 studies used nonclinical data, most frequently involving activity monitoring using an inertial sensor in clinical and nonclinical contexts. Regarding the performance of each AI model, 10 studies achieved a value of precision, sensitivity, specificity, or AUC ≥90. CONCLUSIONS: The findings of this scoping review clarify the overall status of recent studies using AI to identify and diagnose FS. Moreover, the findings show that the combined use of AI using clinical data along with nonclinical information such as the kinematics of inertial sensors that monitor activities in a nonclinical context could be an appropriate tool for the identification and diagnosis of FS. Nevertheless, some possible limitations of the evidence included in the review could be small sample sizes, heterogeneity of study designs, and lack of standardization in the AI models and diagnostic criteria used across studies. Future research is needed to validate AI systems with diverse data sources for diagnosing FS. AI should be used as a decision support tool for identifying FS, with data quality and privacy addressed, and the tool should be regularly monitored for performance after being integrated in clinical practice.

mHealth Impact on Gait and Dynamic Balance Outcomes in Neurorehabilitation: Systematic Review and Meta-analysis.

Gait and dynamic balance are two main goals in neurorehabilitation that mHealth systems could address. To analyze the impact of using mHealth systems on gait and dynamic balance outcomes in subjects with neurological disorders. Randomized controlled trials (RCT) published in PubMed, Web of Science, Scopus, and PEDro databases were searched up to April 2023. Studies including adults with neurological disorders, analyzing the effectiveness of mHealth systems on gait and dynamic balance compared with conventional therapy and/or not intervention, were included. The PEDro scale and the Cochrane Collaboration's 2.0 tool were used for the methodological quality and risk of bias assessment. The Review Manager 5.4 software was used to obtain meta-analyses. 13 RCT were included in the systematic review and 11 in the meta-analyses, involving 528 subjects. A total of 21 mobile applications were identified for gait and balance training, and to enhance physical activity behaviors. There were significant differences in gait parameters, speed by 0.10 s/m (95% confidence interval (CI)=0.07,0.13;p<0.001), cadence by 8.01 steps/min (95%CI=3.30,12.72;p<0.001), affected step length by 8.89 cm (95%CI=4.88,12.90;p<0.001), non-affected step length by 8.08 cm (5%CI=2.64,13.51;p=0.004), and in dynamic balance, Timed Up and Go by -7.15 s (95%CI=-9.30,-4.99;p<0.001), and mobility subscale of Posture Assessment Scale for Stroke by 1.71 points (95%CI=1.38,2.04;p<0.001). Our findings suggested the use of mHealth systems for improving gait in subjects with neurological disorders, but controversial results on dynamics balance recovery were obtained. However, the quality of evidence is insufficient to strongly recommend them, so further research is needed.

Smartphone-based exercise intervention for chronic pain: PainReApp randomized clinical trial protocol.

AIM: To evaluate the effectiveness of PainReApp, an mHealth system, based on physical exercise recommendations for patients with chronic pain (low back pain, fibromyalgia and diabetic neuropathic pain) based on pain intensity, quality of life, anxiety and/or depression, and sleep quality. DESIGN: Single-blinded randomized controlled trial. METHODS: One hundred patients from three different chronic conditions (low back pain, fibromyalgia and neuropathic diabetic pain) will be recruited and randomized into two groups to receive the intervention with a physical activity program guided by the PainReApp system (experimental group) or with the program information in paper format (control group). All patients will attend a first face-to-face session in which the smartphone application usage (experimental group) and exercise execution will be explained (both groups). Data will be collected at baseline, 4, 12 and 24 weeks. Nevertheless, the users of the application will have a daily registry of the exercise performed and the self-perceived difficulty. The primary outcomes of the trial will be the intensity of pain and quality of life. Anxiety and/or depression and sleep quality will be also assessed to evaluate the influence of the physical activity at multiple levels. DISCUSSION: Physical exercise is becoming one of the leading evidence-based interventions to treat chronic pain. It needs to be adapted to the necessities of each pain condition. One of the major problems is the low adherence to the proposed program. New strategies that empower the patients, such as the m-Health, are reliable and useful tools to ease this end. IMPACT: To the best of our knowledge, this is the first long-term randomized controlled trial researching the impact of an m-health system on chronic pain from different origin. The intervention is based on international physical exercise recommendations and can be performed without specific material, allowing the home-based practice. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ACTRN12621000783820).

Dropout rate in randomised controlled trials of balance and gait rehabilitation in multiple sclerosis: is it expected to be different for virtual reality-based interventions? A systematic review with meta-analysis and meta-regression.

To assess and meta-analyse the pooled dropout rate from the randomised control trilas that use virtual reality for balance or gait rehabilitation in people with multiple sclerosis. A systematic review of randomised control trials with meta-analysis and meta-regressions was performed. A search was conducted in PubMed, Scopus, Web of Science, the Physiotherapy Evidence Database, the Cochrane Database, CINHAL, LILACS, ScienceDirect, and ProQuest. It was last updated in July 2022. After the selection of studies, a quality appraisal was carried out using the PEDro Scale and the Revised Cochrane risk-of-bias tool for randomised trials. A descriptive analysis of main characteristics and dropout information was performed. An overall proportion meta-analysis calculated the pooled dropout rate. Odds ratio meta-analysis compared the dropout likelihood between interventions. The meta-regression evaluated the influence of moderators related to dropout. Sixteen studies with 656 participants were included. The overall pooled dropout rate was 6.6% and 5.7% for virtual reality and 9.7% in control groups. The odds ratio (0.89, p = 0.46) indicated no differences in the probability of dropouts between the interventions. The number, duration, frequency, and weeks of sessions, intervention, sex, multiple sclerosis phenotype, Expanded Disability Status Scale score, and PEDro score were not moderators (p > 0.05). Adverse events were not reported and could not be analysed as moderators. Dropouts across the virtual reality and control comparators were similar without significant differences. Nonetheless, there is a slight trend that could favour virtual reality. Standardisation in reporting dropouts and adverse events is recommended for future trials. PROSPERO database, registration number ID CRD42021284989. Supplementary Information: The online version contains supplementary material available at 10.1007/s10055-022-00733-4.

Mirror therapy simultaneously combined with electrical stimulation for upper limb motor function recovery after stroke: a systematic review and meta-analysis of randomized controlled trials.

OBJECTIVE: To evaluate the current evidence on the effectiveness of simultaneous combination of mirror therapy and electrical stimulation in the recovery of upper limb motor function after stroke, compared with conventional therapy, mirror therapy or electrical stimulation isolated. DATA SOURCES: Articles published in PubMed, Web of Science, Scopus, Physiotherapy Evidence Database (PEDro), Cochrane Central register of controlled trials and ScienceDirect up to July 2020. REVIEW METHODS: The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Methodological quality was assessed using the PEDro tool. The RevMan 5.4 statistical software was used to obtain the meta-analysis, through the standardized mean difference and 95% confidence intervals (CI), and to evaluate the risk of bias. The GRADE approach was employed to assess the certainty of evidence. RESULTS: Eight articles were included in this systematic review, seven were included in the meta-analysis. A total of 314 participants were analyzed. The overall quality of the articles included in this review was good. There was no overall significant mean difference on upper limb motor function after stroke using the Upper-Extremity Fugl-Meyer Assessment by 1.56 (95% CI = -2.08, 5.20; P = 0.40; moderate-certainty evidence) and the Box and Block Test results by 1.39 (95% CI = -2.14, 4.92; P = 0.44; high-certainty evidence). There was overall significant difference in the Action Research Arm Test by 3.54 (95% CI = 0.18, 6.90; P = 0.04; high-certainty evidence). CONCLUSION: Direct scientific evidence about the effectiveness of the combined therapy of mirror therapy and electrical stimulation simultaneously for the improvement of the upper limb motor function after stroke is lacking. Further high-quality and well-designed research is needed.

Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering.

BACKGROUND: Tissue engineering (TE) constitutes a multidisciplinary field aiming to construct artificial tissues to regenerate end-stage organs. Its development has taken place since the last decade of the 20th century, entailing a clinical revolution. TE research groups have worked and shared relevant information in the mass media era. Thus, it would be interesting to study the online dimension of TE research and to compare it with traditional measures of scientific impact. OBJECTIVE: The objective of this study was to evaluate the online dimension of TE documents from 2012 to 2018 using metadata obtained from the Web of Science (WoS) and Altmetric and to develop a prediction equation for the impact of TE documents from altmetric scores. METHODS: We analyzed 10,112 TE documents through descriptive and statistical methods. First, the TE temporal evolution was exposed for WoS and 15 online platforms (news, blogs, policy, Twitter, patents, peer review, Weibo, Facebook, Wikipedia, Google, Reddit, F1000, Q&A, video, and Mendeley Readers). The 10 most cited TE original articles were ranked according to the normalized WoS citations and the normalized Altmetric Attention Score. Second, to better comprehend the TE online framework, correlation and factor analyses were performed based on the suitable results previously obtained for the Bartlett sphericity and Kaiser-Meyer-Olkin tests. Finally, the linear regression model was applied to elucidate the relation between academics and online media and to construct a prediction equation for TE from altmetrics data. RESULTS: TE dynamic shows an upward trend in WoS citations, Twitter, Mendeley Readers, and Altmetric Scores. However, WoS and Altmetric rankings for the most cited documents clearly differ. When compared, the best correlation results were obtained for Mendeley Readers and WoS (ρ=0.71). In addition, the factor analysis identified 6 factors that could explain the previously observed differences between academic institutions and the online platforms evaluated. At this point, the mathematical model constructed is able to predict and explain more than 40% of TE WoS citations from Altmetric scores. CONCLUSIONS: Scientific information related to the construction of bioartificial tissues increasingly reaches society through different online media. Because the focus of TE research importantly differs when the academic institutions and online platforms are compared, basic and clinical research groups, academic institutions, and health politicians should make a coordinated effort toward the design and implementation of adequate strategies for information diffusion and population health education.

Differences in physical and psychological health in patients with chronic low back pain: a national survey in general Spanish population.

PURPOSE: To estimate the prevalence of diagnosed and undiagnosed chronic low back pain (CLBP-D and CLBP-UD, respectively) in the general adult population in Spain and to compare the characteristics of these two groups with subjects without CLBP symptoms (No-CLBP). To establish CLBP-D patient sub-groups according to their self-perceived health status, mental health, level of pain and the impact of their pain on daily activities. METHODS: Data were obtained from the National Health Survey of Spain 2017 with a sample of 23,089 adults. Three groups were defined: CLBP-D, CLBP-UD and No-CLBP. In the CLBP-D group, a cluster analysis was performed to identify sub-groups. A multinomial regression model was constructed to determine the factors associated with each of the sub-groups identified. RESULTS: The prevalence of CLBP-D was 22% (95% CI 21.5-22.5) and that of CLBP-UD was 1.4% (95% CI 1.2-1.5). CLBP-D was more common in middle-aged females with a low educational level. They have a worse perceived health status, report more comorbidities, have worse mental health and more limitations in comparison with the populations without CLBP and with CLBP-UD. Three sub-groups of CLBP-D subjects were identified. Women and older subjects with a lower educational level, more occupational stress, less social support and with more physical limitations were the most likely subjects to be included in the group worst-affected. CONCLUSIONS: There is a high prevalence of CLBP among the adult population in Spain. Occupational stress and a lack of social support are common factors among subjects' worst-affected of CLBP-D and identifying the subjects with these risks is therefore a recommended strategy for improving the healthcare provided to CLBP patients.

Occupational stress and burnout among physiotherapists: a cross-sectional survey in Cadiz (Spain).

BACKGROUND: Occupational stress is considered an ongoing epidemic. An inadequate response to a stressful situation can trigger burnout syndrome. In this way, the assistant services (health and teaching) often reach higher levels of burnout. The present study aimed to measure the level of occupational stress and burnout in physiotherapists in the province of Cadiz (Spain), working in the public and/or private sector. METHODS: This was an observational, descriptive and cross-sectional study. A sample of 272 physiotherapists took part in the study. The variables measured were sociodemographic variables, working conditions, level of occupational stress and burnout. Burnout includes three characteristics or dimensions: emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA). Correspondence analysis of the sociodemographic, organizational and psychological variables were analyzed using Chi-squared significance tests. Spearman correlations and a linear regression analysis were also carried out to determine the dependence between occupational stress and burnout. RESULTS: The results showed that 30.51% of physiotherapists suffered from a high level of occupational stress, while 34.56% suffered from an average level. There was a clear dependence between a high level of stress and professionals who felt stressed during their academic training period (p = 0.02), those who were in temporary work (p = 0.03) and those with over 10 years of professional experience (p = 0.05). The overall level of burnout was low, since only the EE dimension had a high value; the average was 21.64 ± 10.57. The DP (6.57 ± 4.65) and PA (39.52 ± 5.97) levels were low. There was a significant dependence (p < 0.05) between EE and the following sociodemographic variables: work shift, willingness to study the same degree, stress and inadequate academic training, and a stressful job. In addition, a significant correlation was found between occupational stress and the EE and DP dimensions of burnout. CONCLUSIONS: A high prevalence of occupational stress was detected among physiotherapists in Cadiz (Spain). The levels of occupational stress and its correlation with burnout show that the cumulative effect of stress could lead to burnout. Furthermore, these results regarding occupational stress show the necessity of developing coping strategies for physiotherapists and healthcare staff.

m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition.

The development of innovative solutions that allow the aging population to remain healthier and independent longer is essential to alleviate the burden that this increasing segment of the population supposes for the long term sustainability of the public health systems. It has been claimed that promoting physical activity could prevent functional decline. However, given the vulnerability of this population, the activity prescription requires to be tailored to the individual's physical condition. We propose mobile Senior Fitness Test (m-SFT), a novel m-health system, that allows the health practitioner to determine the elderly physical condition by implementing a smartphone-based version of the senior fitness test (SFT). The technical reliability of m-SFT has been tested by carrying out a comparative study in seven volunteers (53-61 years) between the original SFT and the proposed m-health system obtaining high agreement (intra-class correlation coefficient (ICC) between 0.93 and 0.99). The system usability has been evaluated by 34 independent health experts (mean = 36.64 years; standard deviation = 6.26 years) by means of the System Usability Scale (SUS) obtaining an average SUS score of 84.4 out of 100. Both results point out that m-SFT is a reliable and easy to use m-health system for the evaluation of the elderly physical condition, also useful in intervention programs to follow-up the patient's evolution.

Smartphone Applications to Perform Body Balance Assessment: a Standardized Review.

Body balance disorders are related to different injuries that contribute to a wide range of healthcare issues. The social and financial costs of these conditions are high. Therefore, quick and reliable body balance assessment can contribute to the prevention of injuries, as well as enhancement of clinical rehabilitation. Moreover, the use of smartphone applications is increasing rapidly since they incorporate different hardware components that allow for body balance assessment. The present study aims to show an analysis of the current applications available on Google Play StoreTM and iTunes App StoreTM to measure this physical condition, using the Mobile Application Rating Scale (MARS). Three iOS and two Android applications met the inclusion criteria. Three applications have scientific support, Balance test YMED, Balance Test by Slani, and Sway. Furthermore, according to MARS, the main scores for each evaluated domain were: Engagement (2.04), Functionality (3.8), Esthetics (3.53), and Information (3.80). The reviewed applications targeted to assess body balance obtained good mean scores. Sway is the app with highest scores in each MARS domain, followed by iBalance Fitness and Gyrobalance.

Agreement Between Face-to-Face and Free Software Video Analysis for Assessing Hamstring Flexibility in Adolescents.

The objective of this study was to determine the level of agreement between face-to-face hamstring flexibility measurements and free software video analysis in adolescents. Reduced hamstring flexibility is common in adolescents (75% of boys and 35% of girls aged 10). The length of the hamstring muscle has an important role in both the effectiveness and the efficiency of basic human movements, and reduced hamstring flexibility is related to various musculoskeletal conditions. There are various approaches to measuring hamstring flexibility with high reliability; the most commonly used approaches in the scientific literature are the sit-and-reach test, hip joint angle (HJA), and active knee extension. The assessment of hamstring flexibility using video analysis could help with adolescent flexibility follow-up. Fifty-four adolescents from a local school participated in a descriptive study of repeated measures using a crossover design. Active knee extension and HJA were measured with an inclinometer and were simultaneously recorded with a video camera. Each video was downloaded to a computer and subsequently analyzed using Kinovea 0.8.15, a free software application for movement analysis. All outcome measures showed reliability estimates with α > 0.90. The lowest reliability was obtained for HJA (α = 0.91). The preliminary findings support the use of a free software tool for assessing hamstring flexibility, offering health professionals a useful tool for adolescent flexibility follow-up.

Effects of Resistance Training on Spasticity in People with Stroke: A Systematic Review.

Resistance training induces neuromuscular adaptations and its impact on spasticity remains inadequately researched. This systematic review (PROSPERO: CRD42022322164) aimed to analyze the effects of resistance training, compared with no treatment, conventional therapy, or other therapies, in people with stroke-related spasticity. A comprehensive search was conducted up to October 2023 in PubMed, PEDro, Cochrane, Web of Science, and Scopus databases. Selection criteria were randomized controlled trials involving participants with stroke-related spasticity intervened with resistance training. The PEDro scale was used to evaluate the methodological quality. From a total of 274 articles, 23 full-text articles were assessed for eligibility and nine articles were included in the systematic review, involving 225 participants (155 males, 70 females; mean age: 59.4 years). Benefits were found to spasticity after resistance training. Furthermore, studies measuring spasticity also reported benefits to function, strength, gait, and balance. In conclusion, resistance training was superior to, or at least equal to, conventional therapy, other therapies, or no intervention for improving spasticity, as well as function, strength, gait, and balance. However, the results should be taken with caution because of the heterogeneity of the protocols used. Further research is needed to explore the effects of resistance training programs on people with stroke.

Tissue engineering in otorhinolaryngology: A knowledge-based analysis.

Objective: To analyze the impact, performance, degree of specialization, and collaboration patterns of the worldwide scientific production on tissue engineering in otorhinolaryngology at the level of countries and institutions. Methods: Two different techniques were used, performance and science mapping analyses, using as samples all the available documents regarding tissue engineering focused on otorhinolaryngology applications. The dataset was retrieved from the Core Collection of the Web of Science database from 1900 to 2020. Social structure was analyzed using science mapping analysis with VOSviewer software. Results: The United States was the main producer, followed by Germany, and Japan. Malaysia and Germany had the highest Relative Specialization Index, indicating their greater relative interest in this area compared to other countries. The social structure analysis showed that the United States and Germany had significant co-authorship relationships with other countries. The University of California System, Kyoto University, and Harvard University were the leading institutions producing literature in this field. These latter two institutions showed the largest number of collaborations, although most of them were with institutions within their own country. There was a lack of connections between different communities of research. Conclusion: The United States is the main country driving progress in this research area, housing the most notable institutions. However, significant collaborations between these research centers are currently lacking. Encouraging greater cooperation among these institutions and their researchers would promote the exchange of knowledge, ultimately facilitating and accelerating advancements in this field.

mHealth Intervention for Improving Pain, Quality of Life, and Functional Disability in Patients With Chronic Pain: Systematic Review.

BACKGROUND: Chronic pain (CP) is 1 of the leading causes of disability worldwide and represents a significant burden on individual, social, and economic aspects. Potential tools, such as mobile health (mHealth) systems, are emerging for the self-management of patients with CP. OBJECTIVE: A systematic review was conducted to analyze the effects of mHealth interventions on CP management, based on pain intensity, quality of life (QoL), and functional disability assessment, compared to conventional treatment or nonintervention. METHODS: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines were followed to conduct a systematic review of randomized controlled trials (RCTs) published in PubMed, Web of Science, Scopus, and Physiotherapy Evidence Database (PEDro) databases from February to March 2022. No filters were used. The eligibility criteria were RCTs of adults (≥18 years old) with CP, intervened with mHealth systems based on mobile apps for monitoring pain and health-related outcomes, for pain and behavioral self-management, and for performing therapeutic approaches, compared to conventional treatments (physical, occupational, and psychological therapies; usual medical care; and education) or nonintervention, reporting pain intensity, QoL, and functional disability. The methodological quality and risk of bias (RoB) were assessed using the Checklist for Measuring Quality, the Oxford Centre for Evidence-Based Medicine Levels of Evidence, and the Cochrane RoB 2.0 tool. RESULTS: In total, 22 RCTs, involving 2641 patients with different CP conditions listed in the International Classification of Diseases 11th Revision (ICD-11), including chronic low back pain (CLBP), chronic musculoskeletal pain (CMSP), chronic neck pain (CNP), unspecified CP, chronic pelvic pain (CPP), fibromyalgia (FM), interstitial cystitis/bladder pain syndrome (IC/BPS), irritable bowel syndrome (IBS), and osteoarthritis (OA). A total of 23 mHealth systems were used to conduct a variety of CP self-management strategies, among which monitoring pain and symptoms and home-based exercise programs were the most used. Beneficial effects of the use of mHealth systems in reducing pain intensity (CNP, FM, IC/BPS, and OA), QoL (CLBP, CNP, IBS, and OA), and functional disability (CLBP, CMSP, CNP, and OA) were found. Most of the included studies (18/22, 82%) reported medium methodological quality and were considered as highly recommendable; in addition, 7/22 (32%) studies had a low RoB, 10/22 (45%) had some concerns, and 5/22 (23%) had a high RoB. CONCLUSIONS: The use of mHealth systems indicated positive effects for pain intensity in CNP, FM, IC/BPS, and OA; for QoL in CLBP, CNP, IBS, and OA; and for functional disability in CLBP, CMSP, CNP, and OA. Thus, mHealth seems to be an alternative to improving pain-related outcomes and QoL and could be part of multimodal strategies for CP self-management. High-quality studies are needed to merge the evidence and recommendations of the use of mHealth systems for CP management. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42022315808; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=315808.

Physical activity levels in adults with chronic low back pain: A national survey in the general Spanish population.

OBJECTIVE: To identify and compare physical activity levels in the Spanish population with chronic low back pain and their associated factors. DESIGN: Cross-sectional national study. SUBJECTS: A total of 3,220 adults with chronic low back pain from the 2017 Spanish National Health Survey. METHODS: Three groups were defined according to physical activity level (low, moderate, and high) assessed with the International Physical Activity Questionnaire. Descriptive analysis and an ordinal regression model were performed. RESULTS: Thirty percent of the subjects were classed as doing a low level of physical activity, 53% moderate, and 17% high. Females predominated in the low and moderate groups, and the subjects in the high group were younger. Subjects in the low group reported more use of pain-relief, more severe-extreme pain, more functional limitations, and worse quality of life and mental health. Factors more likely to be associated with higher levels of physical activity were: being male, normal body mass index or overweight, better health status, less pain, less physical and cognitive limitations, and more social support. CONCLUSION: Different aspects of the biopsychosocial framework were associated with the different levels of physical activity in subjects with chronic low back pain. These findings should be taken into consideration in order to establish suitable public health strategies.

Analysis of cognitive framework and biomedical translation of tissue engineering in otolaryngology.

Tissue engineering is a relatively recent research area aimed at developing artificial tissues that can restore, maintain, or even improve the anatomical and/or functional integrity of injured tissues. Otolaryngology, as a leading surgical specialty in head and neck surgery, is a candidate for the use of these advanced therapies and medicinal products developed. Nevertheless, a knowledge-based analysis of both areas together is still needed. The dataset was retrieved from the Web of Science database from 1900 to 2020. SciMAT software was used to perform the science mapping analysis and the data for the biomedical translation identification was obtained from the iCite platform. Regarding the analysis of the cognitive structure, we find consolidated research lines, such as the generation of cartilage for use as a graft in reconstructive surgery, reconstruction of microtia, or the closure of perforations of the tympanic membrane. This last research area occupies the most relevant clinical translation with the rest of the areas presenting a lower translational level. In conclusion, Tissue engineering is still in an early translational stage in otolaryngology, otology being the field where most advances have been achieved. Therefore, although otolaryngologists should play an active role in translational research in tissue engineering, greater multidisciplinary efforts are required to promote and encourage the translation of potential clinical applications of tissue engineering for routine clinical use.