Measurement properties of the Regular Physical Exercise Adherence Scale (REPEAS) in individuals with chronic pain.

OBJECTIVE: To examine the measurement properties of the Regular Physical Exercise Adherence Scale (REPEAS) in Brazilians with chronic pain. METHODS: Cross-sectional and longitudinal design (washout period for reliability). The study was conducted in two Brazilian states, Maranhão and São Paulo, and included Brazilian adults, irregular exercisers, former exercisers or non-exercise practitioners, aged 18 to 59 years and with chronic pain. The instruments used in this study were: the REPEAS, the Numerical Pain Rating Scale (NPRS), the Baecke Habitual Physical Activity Questionnaire (BHPAQ), the Pain Self-Efficacy Questionnaire (PSEQ), and the Roland-Morris Disability Questionnaire for general pain (RMDQ-g). The evaluation focused on structural validity, construct validity, reliability (with standard error of measurement and minimum detectable change), internal consistency, and floor and ceiling effects. RESULTS: The two-dimensional structure was tested through confirmatory factor analysis, which resulted in adequate fit indeces: chi-square values/degrees of freedom = 1.541, Tucker-Lewis Index = 0.966, comparative fit index = 0.974, root mean square error of approximation = 0.074, and standardized root mean square residual = 0.068. Additionally, satisfactory factor loadings (> 0.40) were obtained. Test-retest reliability and internal consistency were adequate for the environmental factors domain (intraclass correlation coefficient [ICC] = 0.79, Cronbach's alpha = 0.88) and the personal factors domain (ICC = 0.97, Cronbach's alpha = 0.93). In hypothesis testing for construct validity, we observed a significant correlation with magnitude below 0.30 of the environmental factors domain of the REPEAS with RMDQ-g, PSEQ and sport domain of the BHPAQ. For the personal factors domain, we observed a significant correlation with a magnitude of 0.30 to 0.50 with RMDQ-g, PSEQ, and sport domain of the BHPAQ, and below 0.30 with leisure domain of the BHPAQ. No floor or ceiling effects were found for the REPEAS domains. CONCLUSION: The REPEAS is a valid instrument with a two-dimensional internal structure consisting of 12 items. It has a reliable construct and is suitable for use in the clinical and epidemiological context for adults with chronic pain in Brazil.

Translation, cross-cultural adaptation, and validation of health and self-management in diabetes questionnaire (HASMID-10) into Brazilian Portuguese

ABSTRACT BACKGROUND: Considering the ability of the health and self-management in diabetes questionnaire (HASMID-10) to verify the impact of self-management on diabetes, we highlight its relevance to scientific research and clinical applicability. However, to date, no study has been conducted to scientifically support its use in other languages. OBJECTIVE: To translate, cross-culturally adapt, and validate the HASMID-10 into the Brazilian Portuguese. DESIGN AND SETTING: A translation, cross-cultural adaptation, and validation study conducted at Ceuma University. METHODS: Study was conducted in accordance with the Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures and Consensus-based Standards for the Selection of Health Measurement Instruments. We included participants of both sexes diagnosed with diabetes, aged between 18 and 64 years, and without cognitive deficits or any other limitations that would prevent them from answering the questionnaire. We assessed participants using the problem areas in diabetes (PAID) scale and HASMID-10. We assessed reliability using a test-retest model with a 7-day interval between assessments. We used intraclass correlation coefficient (ICC), 95% confidence interval (CI), standard error of measurement (SEM), minimum detectable difference (MDD), Spearman correlation coefficient, and floor and ceiling effects. RESULTS: Sample comprised 116 participants, most of whom were women, overweight, non-practitioners of physical activity, and nonsmokers. We observed significant correlations (P = 0.006; rho = −0.256) between the HASMID-10 and PAID, adequate reliability (ICC = 0.780) and internal consistency (Cronbach's alpha = 0.796). No ceiling or floor effects were observed. CONCLUSION: HASMID-10 has adequate measurement properties and may be used for Brazilians.

Regular Physical Exercise Adherence Scale (REPEAS): a new instrument to measure environmental and personal barriers to adherence to regular physical exercise.

OBJECTIVE: To create, develop, and validate a scale that identifies the environmental and personal barriers that make it difficult to adhere to the practice of physical exercise on a regular basis in a population of Brazilian adults. METHODS: We include adult individuals, aged 18-59 years, practitioners or former practitioners of physical exercise, with Brazilian Portuguese as their mother tongue. In the development and validation phases of the process, 6 specialists in the field of the health assessed the content validity: firstly, the specialists were asked to freely list the questions they would ask to investigate the barriers to adherence to regulating physical activity. Secondly, after compiling all the suggestions listed and eliminating suggestions with similar content, the items suggested in the first round were sent to the specialists so that an evaluation of all questions using a 5-point Likert scale and the content validity coefficient was calculated. We then evaluated the structural validity, construct validity, reliability, internal consistency, and ceiling and floor effects of the Regular Physical Exercise Adherence Scale (REPEAS). RESULTS: Sixteen items were proposed to measure the factors that make it difficult to adhere to the regular practice of physical exercise. The internal structure of the REPEAS initially tested was based on the theoretical proposal of creating the instrument with two domains. After the structural analysis, we used the modification indices to identify the redundant items of the instrument. Consequently, the final version of the REPEAS after factor analysis had 12 items. Thus, the structure with 2 domains and 12 items presented adequate fit indices. With regard to construct validity, the REPEAS scores were compared in two distinct groups: irregular practitioners/ex-practitioners versus regular practitioners of physical exercise, in which a significant difference could be observed between groups (p < 0.001) for both the domains. Acceptable reliability was observed for the environment and personal domains, with ICC values of 0.86 and 0.94, in the same order. For internal consistency, Cronbach's alpha value was 0.908 (environmental domain) and 0.915 (personal domain), these values being adequate for the REPEAS. CONCLUSION: The REPEAS is a scale with a valid two-dimensional internal structure, consisting of 12 items, reliable and with a valid construct, which supports its use in the clinical, epidemiological, and research contexts in Brazil.

Estimating pandemic effects in urban mass transportation systems: An approach based on visibility graphs and network similarity.

The COVID-19 pandemic has caused unprecedented disruptions to urban systems worldwide, but the extent and nature of these disruptions are not yet fully understood when it comes to transportation. In this work, we aim to explore how social distancing policies have affected passenger demand in urban mass transportation systems with the goal of supporting informed decisions in policy planning. We propose an approach based on complex networks and clustering time series with similar behavior, investigating possible changes in similarity patterns during pandemics and how they reflect into a regional scale. The methods shown here proved useful in detecting that lines in central or peripheral regions present different dynamics, that bus lines have changed their behavior during pandemic so that similarity relations have changed significantly, and that when social distancing started, there was an abrupt shock in the properties of daily passenger time series, and the system did not return to its original behavior until the end of the evaluated period. The approach allows to track evolution of the community structure in different scenarios providing managers with tools to reinforce or destabilize similarities if needed.

Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis.

This paper presents a generic framework for fault prognosis using autoencoder-based deep learning methods. The proposed approach relies upon a semi-supervised extrapolation of autoencoder reconstruction errors, which can deal with the unbalanced proportion between faulty and non-faulty data in an industrial context to improve systems' safety and reliability. In contrast to supervised methods, the approach requires less manual data labeling and can find previously unknown patterns in data. The technique focuses on detecting and isolating possible measurement divergences and tracking their growth to signalize a fault's occurrence while individually evaluating each monitored variable to provide fault detection and prognosis. Additionally, the paper also provides an appropriate set of metrics to measure the accuracy of the models, which is a common disadvantage of unsupervised methods due to the lack of predefined answers during training. Computational results using the Commercial Modular Aero Propulsion System Simulation (CMAPSS) monitoring data show the effectiveness of the proposed framework.

Delirium in the intensive care unit: identifying difficulties in applying the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).

BACKGROUND: Delirium is an underdiagnosed condition and this may be related, among other causes, to the incorrect use of assessment tools due to lack of knowledge about cognitive assessment and lack of training of the care team. The aim of this study was to investigate the difficulties encountered by the nursing team in the application of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) in patients on mechanical ventilation. METHODS: This is descriptive study with a qualitative approach in a private tertiary hospital located in northeast Brazil. Data collection took place from July 2018 to January 2019. We included 32 nurses and used face-to-face semi-structured interviews. The recorded data were analysed using content analysis. This study followed the recommendations of the Standards for Reporting Qualitative Research (SRQR). RESULTS: We identified three major categories: lack of knowledge of professionals, subdivided into deficit in academic formation, difficulty in the differential diagnosis of delirium and delusion, and lack of knowledge about the steps of the CAM-ICU; difficulty in patient cooperation; and lack of adequate training to apply the CAM-ICU. CONCLUSION: Nurses have a deficit in academic formation on delirium and need adequate training for the correct and frequent use of the CAM-ICU.

Intra- and Interrater Reliability of Short-Term Measurement of Heart Rate Variability on Rest in Individuals Post-COVID-19.

Individuals affected by COVID-19 have an alteration in autonomic balance, associated with impaired cardiac parasympathetic modulation and, consequently, a decrease in heart rate variability (HRV). This study examines the inter- and intrarater reliability of HRV) parameters derived from short-term recordings in individuals post-COVID. Sixty-nine participants of both genders post-COVID were included. The RR interval, the time elapsed between two successive R-waves of the QRS signal on the electrocardiogram (RRi), were recorded during a 10 min period in a supine position using a portable heart rate monitor (Polar® V800 model). The data were transferred into Kubios® HRV standard analysis software and analyzed within the stable sessions containing 256 sequential RRi. The intraclass correlation coefficient (ICC) ranged from 0.920 to 1.000 according to the intrarater analysis by Researcher 01 and 0.959 to 0.999 according to the intrarater by Researcher 02. The interrater ICC ranged from 0.912 to 0.998. The coefficient of variation was up to 9.23 for Researcher 01 intrarater analysis, 6.96 for Researcher 02 intrarater analysis and 8.83 for interrater analysis. The measurement of HRV in post-COVID-19 individuals is reliable and presents a small amount of error inherent to the method, supporting its use in the clinical environment and in scientific research.

Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator.

The prediction of partial discharges in hydrogenerators depends on data collected by sensors and prediction models based on artificial intelligence. However, forecasting models are trained with a set of historical data that is not automatically updated due to the high cost to collect sensors' data and insufficient real-time data analysis. This article proposes a method to update the forecasting model, aiming to improve its accuracy. The method is based on a distributed data platform with the lambda architecture, which combines real-time and batch processing techniques. The results show that the proposed system enables real-time updates to be made to the forecasting model, allowing partial discharge forecasts to be improved with each update with increasing accuracy.

Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data.

Dissolved gas analysis (DGA) is one of the most important methods to analyze fault in power transformers. In general, DGA is applied in monitoring systems based upon an autoregressive model; the current value of a time series is regressed on past values of the same series, as well as present and past values of some exogenous variables. The main difficulty is to decide the order of the autoregressive model; this means determining the number of past values to be used. This study proposes a wavelet-like transform to optimize the order of the variables in a nonlinear autoregressive neural network to predict the in oil dissolved gas concentration (DGC) from sensor data. Daubechies wavelets of different lengths are used to create representations with different time delays of ten DGC, which are then subjected to a procedure based on principal components analysis (PCA) and Pearson's correlation to find out the order of an autoregressive model. The representations with optimal time delays for each DGC are applied as input in a multi-layer perceptron (MLP) network with backpropagation algorithm to predict the gas at the present and future times. This approach produces better results than choosing the same time delay for all inputs, as usual. The forecasts reached an average mean absolute percentage error (MAPE) of 5.763%, 1.525%, 1.831%, 2.869%, and 5.069% for C2H2, C2H6, C2H4, CH4, and H2, respectively.

Borderline personality disorder and sexual abuse: A systematic review.

Although sexual abuse (SA) is known to be frequent among borderline personality disorder (BPD) patients, few reviews evaluating that relationship have been published. This systematic review aimed to investigate SA (including adulthood) as a predictor of BPD diagnosis, clinical presentation and prognosis. Studies written in English or Portuguese from January 1997 until January 2017 were identified by searching the following keywords in three international databases: "borderline personality disorder" OR "borderline disorder" AND "sexual abuse" OR "sexual violence" OR "sexual victimization" OR "sexual assault" OR "rape". Forty articles met the eligibility criteria. Overall, SA was found to play a major role in BPD, particularly in women. Childhood sexual abuse (CSA) is an important risk factor for BPD. Adult sexual abuse (ASA) rates are significantly higher in BPD patients compared with other personality disorders (PDs). SA history predicts more severe clinical presentation and poorer prognosis. Suicidality has the strongest evidence, followed by self-mutilation, post-traumatic stress disorder (PTSD), dissociation and chronicity of BPD. Future research should study more ASA and include more males, milder BPD patients and documented or corroborated SA cases. The impact of other traumatic experiences (e.g., emotional abuse) on BPD must also be systematically reviewed.