Neem-Extract Formulation on Hypothenemus hampei Preference and Performance in Arabica Coffee Fruits and Artificial Diet.

Coffee berry borer (CBB) Hypothenemus hampei is a major biotic threat to coffee production worldwide. Studies have reported negative effects on CBB by oil-based formulations of neem (Azadirachta indica), but little information is available for other neem-extract formulations. This study evaluated CBB preference and performance in arabica coffee fruits and artificial diet treated with a neem-extract formulation (Openeem Plus®) in the field and laboratory conditions. Field experiments were performed using CBB females artificially infested in cherry or green coffee fruits confined in voile-fabric cages tied to branches of neem-treated and control plants, recording the adult mortality and offspring production. Dual-choice and no-choice bioassays assessed CBB preference and development in fruits and artificial diet treated with the neem extract compared to controls in the laboratory, respectively. As main results obtained in the field and laboratory experiments, the neem extract significantly reduced CBB oviposition in both cherry and green fruits, as well as in artificial diet compared to controls. However, the botanical product did not affect CBB adult survival and preference in the laboratory bioassays. The neem extract is promising for use in pest management strategies in sustainable arabica coffee crops by reducing CBB oviposition and offspring. These effects can contribute to lowering the pest population buildup along the crop cycle and damage potential to coffee production.

Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex-An Approach with Machine Learning Algorithms.

Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world and poses a significant public health challenge. Early detection and management of this metabolic disorder is crucial to prevent complications and improve outcomes. This paper aims to find core differences in male and female markers to detect T2DM by their clinic and anthropometric features, seeking out ranges in potential biomarkers identified to provide useful information as a pre-diagnostic tool whie excluding glucose-related biomarkers using machine learning (ML) models. We used a dataset containing clinical and anthropometric variables from patients diagnosed with T2DM and patients without TD2M as control. We applied feature selection with three different techniques to identify relevant biomarker models: an improved recursive feature elimination (RFE) evaluating each set from all the features to one feature with the Akaike information criterion (AIC) to find optimal outputs; Least Absolute Shrinkage and Selection Operator (LASSO) with glmnet; and Genetic Algorithms (GA) with GALGO and forward selection (FS) applied to GALGO output. We then used these for comparison with the AIC to measure the performance of each technique and collect the optimal set of global features. Then, an implementation and comparison of five different ML models was carried out to identify the most accurate and interpretable one, considering the following models: logistic regression (LR), artificial neural network (ANN), support vector machine (SVM), k-nearest neighbors (KNN), and nearest centroid (Nearcent). The models were then combined in an ensemble to provide a more robust approximation. The results showed that potential biomarkers such as systolic blood pressure (SBP) and triglycerides are together significantly associated with T2DM. This approach also identified triglycerides, cholesterol, and diastolic blood pressure as biomarkers with differences between male and female actors that have not been previously reported in the literature. The most accurate ML model was selection with RFE and random forest (RF) as the estimator improved with the AIC, which achieved an accuracy of 0.8820. In conclusion, this study demonstrates the potential of ML models in identifying potential biomarkers for early detection of T2DM, excluding glucose-related biomarkers as well as differences between male and female anthropometric and clinic profiles. These findings may help to improve early detection and management of the T2DM by accounting for differences between male and female subjects in terms of anthropometric and clinic profiles, potentially reducing healthcare costs and improving personalized patient attention. Further research is needed to validate these potential biomarkers ranges in other populations and clinical settings.

Effect of physical activity in lymphocytes senescence burden in COPD patients.

Chronic obstructive pulmonary disease (COPD) is regarded as an accelerated-age disease in which chronic inflammation, maladaptive immune responses and senescence cell burden coexist. Accordingly, cellular senescence has emerged as a potential mechanism involved in COPD pathophysiology. In this study, 25 stable COPD patients underwent a daily physical activity promotion program for six months. We reported that increase of physical activity was related to a reduction of the senescent cell burden in COPD patients' circulating lymphocytes. Senescent T-lymphocytes population, characterized by absence of surface expression of CD28, was reduced after physical activity intervention and the reduction was associated to the increase of physical activity level. In addition, the mRNA expression of cyclin-dependent kinases inhibitors, a hallmark of cell senescence, was reduced and, in accordance, the proliferative capacity of lymphocytes was improved post-intervention. Moreover, we observed an increase in functionality in T-cells from patients after intervention, including improved markers of activation, enhanced cytotoxicity and altered cytokines secretions in response to viral challenge. Lastly, physical activity intervention reduced the potential of lymphocytes' secretome to induce senescence in human primary fibroblasts. In conclusion, our study provides, for the first time, evidence of the potential of physical activity intervention in COPD patients to reduce the senescent burden in circulating immune cells.

Comparative Bioavailability of a Novel Fixed-dose Combination Etoricoxib and Tramadol.

Multimodal analgesia is defined as using several drugs or techniques simultaneously to target different pain pathways or receptors to avoid pain propagation. This study evaluated the pharmacokinetic profile and comparative bioavailability of etoricoxib 90 mg and tramadol 50 mg dosing alone (reference drugs) or in a novel fixed-dose combination (test drug) under fasting conditions in Mexican healthy volunteers. This was a randomized, open-label, 3-way, crossover, single-dose, prospective, and longitudinal study with a 14-day washout period. Eligible subjects were healthy Mexican adult volunteers. The drugs were dosing orally, according to the randomization sequence, after 10 hours of fasting and 4 hours before breakfast with 250 mL of water at room temperature. Serial blood samples were collected before and after dosing, both drugs were quantified using high-performance liquid chromatography coupled with tandem mass spectrometry. Forty-two subjects were enrolled and 38 completed the study (28 men and 14 women, mean age 25.2 years, mean weight 66.6 kg). Test products were considered to have comparative bioavailability if confidence intervals of natural log-transformed for (maximum plasma drug concentration (Cmax), (area under the plasma drug concentration-time curve form 0 up to last sampling time (AUC0-t), and (area under the plasma drug concentration-time curve from 0 up to infinity (AUC0-∞) data were within the range of 80%-125%. Non-serious adverse events were observed. The results demonstrate that the pharmacokinetic profile and bioavailability of the etoricoxib/tramadol fixed-dose combination are comparable to those of the reference products.

Synthesis and Superficial Modification "In Situ" of Copper Selenide (Cu2-x Se) Nanoparticles and Their Antibacterial Activity.

Copper selenide nanoparticles (Cu2-x Se NPs) have received a lot of attention in recent decades due to their interesting properties and potential applications in various areas such as electronics, health, solar cells, etc. In this study, details of the synthesis and characterization of copper selenide nanoparticles modified with gum arabic (GA) are reported. Also, through transmission electronic microscopy (TEM) analysis, the transformation of the morphology and particle size of copper selenide nanoparticles in aqueous solution was studied. In addition, we present an antimicrobial study with different microorganisms such as Staphylococcus aureus (S. aureus), Escherichia coli (E. coli) and Candida albiacans (C. albicans). Copper selenide nanoparticles were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), differential scanning calorimetry analysis (DSC) and TEM. XRD confirmed the crystal-line structure of the nanoparticles such as cubic berzelanite with a particle size of 6 nm ± 0.5. FTIR and TGA corroborated the surface modification of copper selenide nanoparticles with gum arabic, and DSC suggested a change in the structural phase from cubic to hexagonal. TEM analysis demonstrated that the surface modification of the Cu2-x Se NPs stabilized the nanostructure of the particles, preventing changes in the morphology and particle size. The antimicrobial susceptibility analysis of copper selenide nanoparticles indicated that they have the ability to inhibit the microbial growth of Staphylococcus aureus, Escherichia coli and Candida albicans.

A Randomized Control Trial of Dexketoprofen/Vitamin B (Thiamine, Pyridoxine and Cyanocobalamin) Fixed-Dose Combination in Post-Traumatic Grade I-II Cervical Sprains.

BACKGROUND: Musculoskeletal disorders are an important cause of work absence. Clinical practice guidelines recommend nonsteroidal anti-inflammatory drugs (NSAIDs) for grade I-II cervical sprains. The combination of thiamine + pyridoxine + cyanocobalamin vitamins has been used, alone and in combination with NSAIDs, for pain and inflammation in musculoskeletal disorders. OBJECTIVE: The objective of this study was to demonstrate the analgesic synergy of dexketoprofen, and the combination of vitamins thiamine + pyridoxine + cyanocobalamin in a fixed-dose combination (FDC) for the treatment of acute pain caused by grade I-II cervical sprains. METHODS: We conducted a multicentre, prospective, randomized, double-blind, phase IIIb clinical study comparing two treatment groups: (1) dexketoprofen 25 mg/vitamin B (thiamine 100 mg, pyridoxine 50 mg and cyanocobalamin 0.50 mg) in an FDC (two or more active ingredients combined in a single dosage form) versus (2) dexketoprofen 25 mg monotherapy (single drug to treat a particular disease), one capsule or tablet orally, every 8 h for 7 days. Final mean, average change, and percentage change in pain perception (measured using a visual analogue scale [VAS]) were compared with baseline between groups. A p value < 0.05 was considered statistically significant. Analyses were conducted using SPSS software, v.29.0. RESULTS: A statistically significant reduction in pain intensity was observed from the third day of treatment with the FDC compared with monotherapy (- 3.1 ± - 1.5 and - 2.6 ± - 1.1 cm, respectively) measured using the VAS (p = 0.011). Regarding the degree of disability, using the Northwick Park Neck Pain Questionnaire (NPQ), statistical difference was observed for the final measurement (7.5%, interquartile range [IQR] 2.5, 10.5; vs. 7.9%, IQR 5.0, 13.8; p = 0.028). A lower proportion of adverse events was reported when using the FDC. CONCLUSIONS: The FDC of dexketoprofen/thiamine + pyridoxine + cyanocobalamin vitamins demonstrated superior efficacy and a better safety profile compared with dexketoprofen monotherapy for pain treatment in patients with grade I-II cervical sprains. CLINICAL TRIALS REGISTRATION: NCT05001555, registered 29 July 2021 ( https://clinicaltrials.gov/study/NCT05001555 ).

Promoting the empowerment and emancipation of community-dwelling older adults with chronic multimorbidity through a home visiting programme: a hermeneutical study.

INTRODUCTION: Nurse-led preventive home visiting programmes can improve health-related outcomes in community-dwelling older adults, but they have not proven to be cost-effective. Home visiting programmes led by nursing students could be a viable alternative. However, we do not know how community-dwelling older adults with chronic multimorbidity experience home visiting programmes in which nursing students carry out health promotion activities. The aim of the study is to understand how community-dwelling older adults with chronic multimorbidity experience a home visiting programme led by nursing students. METHODS: A qualitative study based on Gadamer's hermeneutics. Thirty-one community-dwelling older adults with chronic multimorbidity were interviewed in-depth. Fleming's method for conducting hermeneutic, Gadamerian-based studies was followed and ATLAS.ti software was used for data analysis. RESULTS: Two main themes were generated: (1) 'The empowering experience of a personalised health-promoting intervention', and (2) 'The emancipatory effect of going beyond standardised self-care education'. CONCLUSIONS: The home visiting programme contributed to the community-dwelling older adults feeling more empowered to engage in health-promoting self-care behaviours. It also improved the older adults' sense of autonomy and self-efficacy, while reducing their loneliness and addressing some perceived shortcomings of the healthcare system. CLINICAL RELEVANCE: Older adults participating in a home visiting programme led by nursing students feel empowered to implement self-care behaviours, which has a positive impact on their perceived health status. Nurse leaders and nursing regulatory bodies could collaborate with nursing faculties to integrate preventive home visiting programmes led by nursing students into the services offered to community-dwelling older adults with chronic multimorbidity.

Experiences of male irregular migrants during their migration process and reception in Spain: lessons learned from the COVID-19 pandemic.

Background: The causes behind migration movements are complex. The COVID-19 pandemic highlighted how several countries failed to respond to the virus adequately, while simultaneously infringing on people's rights. Male irregular migrants fled their countries of origin and embarked on a perilous migration journey to Spain. The highly restrictive COVID-19 measures and border closures affected the mobility of male irregular migrants, whose reception in the host country posed a challenge. It led to the establishment of emergency facilities to accommodate male irregular migrants affected by COVID-19, which had repercussions on their mental health. The aim of this study was to describe and understand the experiences of male irregular migrants throughout their migration process and reception in Spain during the COVID-19 pandemic. Methods: Qualitative descriptive study. Sixteen male irregular migrants participated in this study. Data were collected between January and March 2023 through 16 one-on-one in-depth interviews. Thematic analysis was used to analyze the qualitative data using ATLAS.ti computer software. Results: Three main themes emerged: (1) How the COVID-19 pandemic drove male irregular migrants to leave their countries of origin, (2) How COVID-19 lockdown policies affected the migration journey, and (3) Receiving male irregular migrants in a pandemic: a housing labyrinth marked by isolation and loneliness. Conclusion: The COVID-19 pandemic increased the social, employment and health inequalities experienced by male irregular migrants. Border closures exacerbated the migration journey and the social stigmatization of this group, who were seen as carriers of the virus in both transit and host countries. Strict control measures in emergency and reception facilities had a significant psychological impact on the male irregular migrants due to the social isolation they experienced. Health institutions should develop programs to guarantee the care needs of irregular migrants.

Child face detection on front passenger seat through deep learning.

OBJECTIVE: One of the main causes of death worldwide among young people are car crashes, and most of these fatalities occur to children who are seated in the front passenger seat and who, at the time of an accident, receive a direct impact from the airbags, which is lethal for children under 13 years of age. The present study seeks to raise awareness of this risk by interior monitoring with a child face detection system that serves to alert the driver that the child should not be sitting in the front passenger seat. METHODS: The system incorporates processing of data collected, elements of deep learning such as transfer learning, fine-tunning and facial detection to identify the presence of children in a robust way, which was achieved by training with a dataset generated from scratch for this specific purpose. The MobileNetV2 architecture was used based on the good performance shown when compared with the Inception architecture for this task; and its low computational cost, which facilitates implementing the final model on a Raspberry Pi 4B. RESULTS: The resulting image dataset consisted of 102 empty seats, 71 children (0-13 years), and 96 adults (14-75 years). From the data augmentation, there were 2,496 images for adults and 2,310 for children. The classification of faces without sliding window gave a result of 98% accuracy and 100% precision. Finally, using the proposed methodology, it was possible to detect children in the front passenger seat in real time, with a delay of 1 s per decision and sliding window criterion, reaching an accuracy of 100%. CONCLUSIONS: Although our 100% accuracy in an experimental environment is somewhat idealized in that the sensor was not blocked by direct sunlight, nor was it partially or completely covered by dirt or other debris common in vehicles transporting children. The present study showed that is possible the implementation of a robust noninvasive classification system made on Raspberry Pi 4 Model B in any automobile for the detection of a child in the front seat through deep learning methods such as Deep CNN.

Nanostructured Copper Selenide Coatings for Antifouling Applications.

The accumulation of microorganisms, plants, algae, or small animals on wet surfaces that have a mechanical function causes biofouling, which can result in structural or other functional deficiencies. The maritime shipping industry must constantly manage biofouling to optimize operational performance, which is a common and long-lasting problem. It can occur on any metal structure in contact with or submerged in ocean water, which represents additional costs in terms of repairs and maintenance. This study is focused on the production of antifouling coatings, made with nanoparticles of copper selenide (CuSe NPs) modified with gum arabic, within a water-base acrylic polymeric matrix. During the curing of the acrylic resin, the CuSe NPs remain embedded in the resin, but this does not prevent the release of ions. The coatings released copper and selenium ions for up to 80 days, and selenium was the element that was released the most. The adhesion of film coatings to metallic substrates showed good adhesion, scale 5B (ASTM D3359 standard). Antimicrobial activity tests show that the coatings have an inhibitory effect on Escherichia coli and Candida albicans. The effect is more noticeable when the coating is detached from the substrate and placed on a growing medium, compared to the coating on a substrate. Scanning electron microscopy (SEM) observations show that nanostructured CuSe coatings are made up of rod-shaped and spherical particles with an average particle size of 101.6 nm and 50 nm, respectively. The energy dispersive X-ray spectroscopy (EDS) studies showed that the ratio of selenium nanoparticles is greater than that of copper and that their distribution is homogeneous.

Classification and selection of the main features for the identification of toxicity in Agaricus and Lepiota with machine learning algorithms.

The occurrence of fungi is cosmopolitan, and while some mushroom species are beneficial to human health, others can be toxic and cause illness problems. This study aimed to analyze the organoleptic, ecological, and morphological characteristics of a group of fungal specimens and identify the most significant features to develop models for fungal toxicity classification using genetic algorithms and LASSO regression. The results of the study indicated that odor, spore print color, and habitat were the most significant characteristics identified by the genetic algorithm GALGO. Meanwhile, odor, gill size, stalk shape, and twelve other features were the relevant characteristics identified by LASSO regression. The importance score of the odor variable was 99.99%, gill size obtained 73.7%, stalk shape scored 39.9%, and the remaining variables did not score higher than 18%. Logistic regression, k-nearest neighbor (KNN), and XG-Boost classification algorithms were used to develop models using the features selected by both GALGO and LASSO. The models were evaluated using sensitivity, specificity, and accuracy metrics. The models with the highest AUC values were XGBoost, with a maximum value of 0.99 using the features selected by LASSO, followed by KNN with a maximum value of 0.99. The GALGO selection resulted in a maximum AUC of 0.98 in KNN and XGBoost. The models developed in this study have the potential to aid in the accurate identification of toxic fungi, which can prevent health problems caused by their consumption.

Spanish version of the Self-Care of Chronic Illness Inventory: A validation study amongst community-dwelling older adults with chronic multimorbidity.

AIM: To psychometrically assess the Spanish version of the Self-Care of Chronic Illness Inventory (SC-CII-Sp) in community-dwelling older adults with chronic multimorbidity. DESIGN: A methodological study. METHOD: A total of 1260 older adults participated in the study between May 2020 and February 2022. The data were analysed using SPSS Statistics® 26 and AMOS® 24. The items' content validity index and the Fleiss' kappa were calculated to assess the SC-CII-Sp's content validity. Convergent validity was assessed by calculating the Pearson correlation coefficient between the participants' scores on the SC-CII-Sp and their scores on the Spanish Chronic Disease Self-Efficacy scale (SCD-SE). Construct validity was tested by performing a confirmatory factor analysis (CFA). The SC-CII-Sp's reliability was tested by computing the Cronbach's alpha. RESULTS: The SC-CII-Sp showed good content and convergent validity. The CFA showed that the SC-CII-Sp has three sub-scales. The 8-item Self-Care Maintenance sub-scale has good internal consistency and is comprised of two dimensions: illness-related and health-promoting behaviour. The Self-Care Monitoring sub-scale had excellent internal consistency and its five loaded items belonged to a single dimension. The 6-item Self-Care Management sub-scale has adequate internal consistency and two dimensions: autonomous and consulting behaviour. CONCLUSION: The Spanish version of SC-CII is a valid and reliable instrument to be used in the assessment of self-care behaviours amongst Spanish-speaking, community-dwelling older adults with chronic multimorbidity. IMPLICATIONS FOR THE PROFESSION: Nurses need valid and reliable tools to assess self-care behaviours in Spanish-speaking community-dwelling older adults with chronic multimorbidity. This study provides a 19-item tool that allows for the comprehensive evaluation of self-care behaviours in healthy and ill states. IMPACT: Using the SC-CII-Sp in clinical or research settings could help nurses to examine the effects of different interventions on self-care behaviours amongst Spanish-speaking, community-dwelling older adults with chronic multimorbidity. PATIENT OR PUBLIC CONTRIBUTION: None to be reported.

Measurement invariance of the driving inattention scale (ARDES) across 7 countries.

The Attention-Related Driving Errors Scale (ARDES) is a self-report measure of individual differences in driving inattention. ARDES was originally developed in Spanish (Argentina), and later adapted to other countries and languages. Evidence supporting the reliability and validity of ARDES scores has been obtained in various different countries. However, no study has been conducted to specifically examine the measurement invariance of ARDES measures across countries, thus limiting their comparability. Can different language versions of ARDES provide comparable measures across countries with different traffic regulations and cultural norms? To what extent might cultural differences prevent researchers from making valid inferences based on ARDES measures? Using Alignment Analysis, the present study assessed the approximate invariance of ARDES measures in seven countries: Argentina (n = 603), Australia (n = 378), Brazil (n = 220), China (n = 308). Spain (n = 310), UK (n = 298), and USA (n = 278). The three-factor structure of ARDES scores (differentiating driving errors occurring at Navigation, Manoeuvring and Control levels) was used as the target theoretical model. A fixed alignment analysis was conducted to examine approximate measurement invariance. 12.3 % of the intercepts and 0.8 % of the item-factor loadings were identified as non-invariant, averaging 8.6 % of non-invariance. Despite substantial differences among the countries, sample recruitment or representativeness, study results support resorting to ARDES measures to make comparisons across the country samples. Thus, the range of cultures, laws and collision risk across these 7 countries provides a demanding assessment for a cultural-free inattention while-driving. The alignment analysis results suggest that ARDES measures reach near equivalence among the countries in the study. We hope this study will serve as a basis for future cross-cultural research on driving inattention using ARDES.

Targeted long-read sequencing identifies and characterizes structural variants in cases of inherited platelet disorders.

BACKGROUND: Genetic diagnosis of inherited platelet disorders (IPDs) is mainly performed by high-throughput sequencing (HTS). These short-read-based sequencing methods sometimes fail to characterize the genetics of the disease. OBJECTIVES: To evaluate nanopore long-read DNA sequencing for characterization of structural variants (SVs) in patients with IPDs. METHODS: Four patients with a clinical and laboratory diagnosis of Glanzmann thrombasthenia (GT) (P1 and P2) and Hermansky-Pudlak syndrome (HPS) (P3 and P4) in whom HTS missed the underlying molecular cause were included. DNA was analyzed by both standard HTS and nanopore sequencing on a MinION device (Oxford Nanopore Technologies) after enrichment of DNA spanning regions covering GT and HPS genes. RESULTS: In patients with GT, HTS identified only 1 heterozygous ITGB3 splice variant c.2301+1G>C in P2. In patients with HPS, a homozygous deletion in HPS5 was suspected in P3, and 2 heterozygous HPS3 variants, c.2464C>T (p.Arg822∗) and a deletion affecting 2 exons, were reported in P4. Nanopore sequencing revealed a complex SV affecting exons 2 to 6 in ITGB3 (deletion-inversion-duplication) in homozygosity in P1 and compound heterozygosity with the splice variant in P2. In the 2 patients with HPS, nanopore defined the length of the SVs, which were characterized at nucleotide resolution. This allowed the identification of repetitive Alu elements at the breakpoints and the design of specific polymerase chain reactions for family screening. CONCLUSION: The nanopore technology overcomes the limitations of standard short-read sequencing techniques in SV characterization. Using nanopore, we characterized novel defects in ITGB3, HPS5, and HPS3, highlighting the utility of long-read sequencing as an additional diagnostic tool in IPDs.

Spanish version of the Maastricht Personal Autonomy Questionnaire: A validation study among community-dwelling older adults with chronic multimorbidity.

BACKGROUND: Loss of personal autonomy in older adults with chronic multimorbidity is associated with worsened biopsychosocial health. In order to facilitate the standardised assessment of personal autonomy in older adults with chronic conditions, nurses could use the Maastricht Personal Autonomy Questionnaire (MPAQ). OBJECTIVE: To translate, culturally adapt and psychometrically assess the Spanish version of the MPAQ in community-dwelling older adults with chronic multimorbidity (MPAQ-Sp). METHODS: Observational cross-sectional study. A convenience sample of 884 community-dwelling older adults was recruited from 10 community centres in five health districts in southeastern Spain. Data were collected between January 2021 and September 2022. The study was completed in four phases. Phase 1: The MPAQ was translated into Spanish. Phase 2: A pilot test of reliability and content validity was conducted. Phase 3: To test the dimensionality of the tool, an exploratory factor analysis (EFA) was conducted. Phase 4: a final validation study was conducted which included a confirmatory factor analysis (CFA) and assessed the validity (content, criterion and construct), reliability and readability of the MPAQ-Sp. RESULTS: The average age of the sample was 75.89 years (SD = ±8.04). Their mean number of chronic conditions was 4.84 (SD = ±2.19) and 67% were women. The MPAQ-Sp is comprised of 16 items distributed in four subscales: [1] the 'Degree of autonomy' scale, [2] the 'Working on autonomy' scale, [3] the 'Dilemmas: health over preferences' scale and [4] the 'Dilemmas: preferences over health' scale. CONCLUSIONS: The Spanish version of the MPAQ-Sp is a valid and reliable instrument to assess personal autonomy in Spanish-speaking, community-dwelling older adults with chronic multimorbidity. IMPLICATIONS FOR PRACTICE: The use of the MPAQ-Sp would allow researchers and healthcare professionals to identify a loss of personal autonomy among Spanish-speaking community-dwelling older adults with chronic multimorbidity.

Dataset on the mechanical and physical characterization of the Ecuadorian Guadua angustifolia kunth bamboo culms belonging to "Caña Mansa" biotype.

This article presents a set of experimental data on the mechanical and physical properties of the Ecuadorian endemic bamboo species Guadua angustifolia kunth (Guadua a.k.), specifically the "Caña Mansa" biotype. The data on compressive, shear, tensile and bending strength, as well as the moisture content and density, were obtained by carrying out the corresponding tests following the ISO 22157:2019 standard. For this purpose, each bamboo culm examined was divided along its height into three sections that were thoroughly characterized. The equations used for the calculations of the mechanical and physical properties are described in detail for each test. Besides, the main mechanical properties of the characterized bamboo were compared to those of similar species reported in the literature. Property charts (compressive/tensile strength and modulus of rupture vs. density) were built to compare the Ecuadorian biotype evaluated with other classical and green materials by using appropriate software. These data give an insight into the valorization of natural structural materials harvested in the Americas for potential applications in different engineering fields, particularly for sustainable building.

Contralateral Arm Pain as a Sign of Distress Regarding Symptoms.

BACKGROUND: Pain intensity and magnitude of incapability are associated with common unhelpful thoughts about symptoms such as catastrophic thinking and kinesiophobia. To determine whether reports of pain in the upper limb contralateral to a non-trauma condition were associated with unhelpful thoughts, we measured the relationship between pain intensity in the opposite limb and levels of unhelpful thinking. METHODS: In a cross-sectional study, 152 new and return patients seeking care of an upper-limb musculoskeletal condition completed measures of upper-extremity-specific magnitude of capability, pain intensity of the involved and contralateral arms, unhelpful thoughts regarding symptoms, symptoms of distress regarding symptoms, and general symptoms of depression. Factors associated with contralateral and ipsilateral pain intensity and upper-extremity-specific magnitude of capability were assessed using multivariable statistics. RESULTS: In bivariate analysis, contralateral arm pain was associated with symptoms of distress regarding pain, but not in multivariable analysis. Accounting for potential confounding in negative binominal regression analysis, greater pain intensity of the affected side was independently associated with greater feelings of distress regarding symptoms and no prior surgery. Greater upper-extremity-specific capability was independently associated with less distress regarding symptoms, married/partnered, men, and no prior surgery. CONCLUSIONS: The observation that greater pain intensity in the opposite arm was associated with greater distress regarding symptoms suggests that, in combination with other verbal and non-verbal signs of distress, patient concerns about pain in the contralateral limb can help direct patients and surgeons to evidence-based care strategies for alleviating stress regarding symptoms.