La Rana or El Rana: Dual Language Learners' Grammatical Variability in Narrative Retells.

PURPOSE: This longitudinal study investigated the trajectory of Spanish article accuracy in Spanish-English dual language learners (DLLs) from preschool to first grade, addressing the need for longitudinal data on the variability of Spanish grammatical skills in DLLs in English immersion classrooms. METHOD: Language sample analysis was conducted on 336 Spanish and English narrative retells elicited from 31 Spanish-English DLLs (range: 45-85 months). Growth curve models captured within- and between-individual change in article accuracy from the beginning of preschool to the end of first grade. RESULTS: As a group, DLLs did not exhibit significant positive or negative growth in Spanish article accuracy over time. On average, article accuracy remained stable at 76% from preschool throughout first grade. Participants exhibited significant variability in article accuracy that was partly explained by changes in Spanish proficiency. Spanish article accuracy was lower for DLLs with lower Spanish proficiency indexed by measures from the Spanish language samples, while English proficiency indexed by the English language samples did not affect Spanish article accuracy. CONCLUSIONS: These findings suggest that expectations for Spanish grammatical performance in DLLs need to be adjusted to account for the possible impact of not receiving Spanish support in English immersion school settings. DLLs in these instructional programs do not exhibit article accuracy at a level expected for monolingual Spanish speakers. Significant individual differences in both individual status and growth rates of Spanish article accuracy highlight the broad variability in Spanish language skills of DLLs in the United States.

Empirical comparison of deep learning models for fNIRS pain decoding.

Introduction: Pain assessment is extremely important in patients unable to communicate and it is often done by clinical judgement. However, assessing pain using observable indicators can be challenging for clinicians due to the subjective perceptions, individual differences in pain expression, and potential confounding factors. Therefore, the need for an objective pain assessment method that can assist medical practitioners. Functional near-infrared spectroscopy (fNIRS) has shown promising results to assess the neural function in response of nociception and pain. Previous studies have explored the use of machine learning with hand-crafted features in the assessment of pain. Methods: In this study, we aim to expand previous studies by exploring the use of deep learning models Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and (CNN-LSTM) to automatically extract features from fNIRS data and by comparing these with classical machine learning models using hand-crafted features. Results: The results showed that the deep learning models exhibited favourable results in the identification of different types of pain in our experiment using only fNIRS input data. The combination of CNN and LSTM in a hybrid model (CNN-LSTM) exhibited the highest performance (accuracy = 91.2%) in our problem setting. Statistical analysis using one-way ANOVA with Tukey's (post-hoc) test performed on accuracies showed that the deep learning models significantly improved accuracy performance as compared to the baseline models. Discussion: Overall, deep learning models showed their potential to learn features automatically without relying on manually-extracted features and the CNN-LSTM model could be used as a possible method of assessment of pain in non-verbal patients. Future research is needed to evaluate the generalisation of this method of pain assessment on independent populations and in real-life scenarios.

Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating ΔHBO2 and ΔHHB Measures for Comprehensive Analysis.

Assessing pain in non-verbal patients is challenging, often depending on clinical judgment which can be unreliable due to fluctuations in vital signs caused by underlying medical conditions. To date, there is a notable absence of objective diagnostic tests to aid healthcare practitioners in pain assessment, especially affecting critically-ill or advanced dementia patients. Neurophysiological information, i.e., functional near-infrared spectroscopy (fNIRS) or electroencephalogram (EEG), unveils the brain's active regions and patterns, revealing the neural mechanisms behind the experience and processing of pain. This study focuses on assessing pain via the analysis of fNIRS signals combined with machine learning, utilising multiple fNIRS measures including oxygenated haemoglobin (ΔHBO2) and deoxygenated haemoglobin (ΔHHB). Initially, a channel selection process filters out highly contaminated channels with high-frequency and high-amplitude artifacts from the 24-channel fNIRS data. The remaining channels are then preprocessed by applying a low-pass filter and common average referencing to remove cardio-respiratory artifacts and common gain noise, respectively. Subsequently, the preprocessed channels are averaged to create a single time series vector for both ΔHBO2 and ΔHHB measures. From each measure, ten statistical features are extracted and fusion occurs at the feature level, resulting in a fused feature vector. The most relevant features, selected using the Minimum Redundancy Maximum Relevance method, are passed to a Support Vector Machines classifier. Using leave-one-subject-out cross validation, the system achieved an accuracy of 68.51%±9.02% in a multi-class task (No Pain, Low Pain, and High Pain) using a fusion of ΔHBO2 and ΔHHB. These two measures collectively demonstrated superior performance compared to when they were used independently. This study contributes to the pursuit of an objective pain assessment and proposes a potential biomarker for human pain using fNIRS.

"Where does it hurt?": Exploring EDA Signals to Detect and Localise Acute Pain.

Pain is a highly unpleasant sensory experience, for which currently no objective diagnostic test exists to measure it. Identification and localisation of pain, where the subject is unable to communicate, is a key step in enhancing therapeutic outcomes. Numerous studies have been conducted to categorise pain, but no reliable conclusion has been achieved. This is the first study that aims to show a strict relation between Electrodermal Activity (EDA) signal features and the presence of pain and to clarify the relation of classified signals to the location of the pain. For that purpose, EDA signals were recorded from 28 healthy subjects by inducing electrical pain at two anatomical locations (hand and forearm) of each subject. The EDA data were preprocessed with a Discrete Wavelet Transform to remove any irrelevant information. Chi-square feature selection was used to select features extracted from three domains: time, frequency, and cepstrum. The final feature vector was fed to a pool of classification schemes where an Artificial Neural Network classifier performed best. The proposed method, evaluated through leave-one-subject-out cross-validation, provided 90% accuracy in pain detection (no pain vs. pain), whereas the pain localisation experiment (hand pain vs. forearm pain) achieved 66.67% accuracy.Clinical relevance- This is the first study to provide an analysis of EDA signals in finding the source of the pain. This research explores the viability of using EDA for pain localisation, which may be helpful in the treatment of noncommunicable patients.

Nivel de conocimiento de Enfermería sobre manejo del catéter implantable del Hospital Pediátrico, Chaco 2022 / Level of nursing knowledge about the managementof the implantable catheter at the Pediatric Hospital, Chaco 2022

Introducción: el catéter implantable en pacientes pediátricos es uno de los elementos más usados e importantes, utilizados en tratamientos por plazos extendidos. Estos dispositivos son de incumbencia del área de enfermería en cuanto a su mantenimiento y cuidado, con su dominio se brinda confort y mayor seguridad al paciente. Objetivo: determinar el nivel de conocimiento del profesional de enfermería sobre el manejo del catéter implantable en servicios de internación de un Hospital Pediátrico, Chaco, año 2022. Metodología: estudio cuantitativo, descriptivo, transversal y observacional; población en estudio la totalidad del personal de enfermería del servicio de internación; se usó como instrumento de recolección de datos un cuestionario escrito, que contenía las variables sociodemográficas y de conocimientos de aspectos generales, conocimientos en la habilitación y mantenimiento del catéter implantable. Resultados: los resultados obtenidos en la investigación manifiestan un nivel regular de conocimientos en aspectos generales del catéter implantable, sin embargo, el nivel en cuanto a la habilitación y mantenimiento del dispositivo se apreció que fue bueno, con respecto al nivel de conocimiento en la habilitación y mantenimiento del catéter implantable según formación académica alcanzada del personal que trabajan en los servicios de internación, se observó que los licenciados en enfermería y especialista obtuvieron un mayor porcentaje en conocimiento bueno. Conclusión: se concluye que existen aspectos generales sobre el manejo del catéter implantable que requieren un refuerzo en los conocimientos por parte del personal de enfermería en pos de la mejora continua en el cuidado [AU]

Introduction: the implantable catheter in pediatric patients is one of the most used and important elements, used in treatments for extended periods. These devices are the responsibility of the nursing area in terms of their maintenance and care, with their control comfort and greater safety are provided to the patient. Objective: To determine the level of knowledge of the nursing professional on the management of the implantable catheter in hospitalization services of a Pediatric Hospital, Chaco, year 2022. Methodology: quantitative, descriptive, cross-sectional and observational study; study population the entire nursing staff of the hospitalization service. A written questionnaire was used as a data collection instrument, which contained the sociodemographic variables and knowledge of general aspects, knowledge in the habilitation and maintenance of the implantable catheter. Results: the results obtained in the investigation show a regular level of knowledgein general aspects of the implantable catheter, however, the level[AU]

Introdução: o cateter implantável em pacientes pediátricos é um dos elementos mais utilizados e importantes, sendo utilizado em tratamentos por períodos prolongados. Esses aparelhos são de responsabilidade da área de enfermagem quanto a sua manutenção e cuidados, com seu controle seja proporcionado conforto e maior segurança ao paciente. Objetivo: determinar o nível de conhecimento do profissional de enfermagem sobre o manejo do cateter implantável nos serviços de internação de um Hospital Pediátrico, Chaco, ano 2022. Metodologia: estudo quantitativo, descritivo, transversal e observacional; população do estudo toda a equipe de enfermagem do serviço de internação. Como instrumento de coleta de dados foi utilizado um questionário escrito, que continha as variáveis sociodemográficas e conhecimentos sobre aspectos gerais, conhecimentos na habilitação e manutenção do cateter implantável. Resultados: os resultados obtidos na investigação mostram um nível regular de conhecimento em aspectos gerais do cateter implantável, no entanto, o nível quanto à qualificação e manutenção do dispositivo foi avaliado como bom, no que diz respeito ao nível de conhecimento na qualificação e manutenção do cateter implantável de acordo com a formação acadêmica alcançada pela equipe que atua nos serviços de internação, observouse que os graduados em enfermagem e especialistas obtiveram maior percentual de bom conhecimento. Conclusão: concluise que existem aspectos gerais sobre o manejo do cateter implantável que requerem um reforço de conhecimento por parte da equipe de enfermagem em busca da melhoria contínua na assistência[AU]

Toward a Multi-Modal Brain-Body Assessment in Parkinson's Disease: A Systematic Review in fNIRS.

Parkinson's disease (PD) causes impairments in cortical structures leading to motor and cognitive symptoms. While common disease management and treatment strategies mainly depend on the subjective assessment of clinical scales and patients' diaries, research in recent years has focused on advances in automatic and objective tools to help with diagnosing PD and determining its severity. Due to the link between brain structure deficits and physical symptoms in PD, objective brain activity and body motion assessment of patients have been studied in the literature. This study aimed to explore the relationship between brain activity and body motion measures of people with PD to look at the feasibility of diagnosis or assessment of PD using these measures. In this study, we summarised the findings of 24 selected papers from the complete literature review using the Scopus database. Selected studies used both brain activity recording using functional near-infrared spectroscopy (fNIRS) and motion assessment using sensors for people with PD in their experiments. Results include 1) the most common study protocol is a combination of single tasks. 2) Prefrontal cortex is mostly studied region of interest in the literature. 3) Oxygenated haemoglobin (HbO 2) concentration is the predominant metric utilised in fNIRS, compared to deoxygenated haemoglobin (HHb). 4) Motion assessment in people with PD is mostly done with inertial measurement units (IMUs) and electronic walkway. 5) The relationship between brain activity and body motion measures is an important factor that has been neglected in the literature.

Multimodal physiological sensing for the assessment of acute pain.

Pain assessment is a challenging task encountered by clinicians. In clinical settings, patients' self-report is considered the gold standard in pain assessment. However, patients who are unable to self-report pain are at a higher risk of undiagnosed pain. In the present study, we explore the use of multiple sensing technologies to monitor physiological changes that can be used as a proxy for objective measurement of acute pain. Electrodermal activity (EDA), photoplethysmography (PPG), and respiration (RESP) signals were collected from 22 participants under two pain intensities (low and high) and on two different anatomical locations (forearm and hand). Three machine learning models were implemented, including support vector machines (SVM), decision trees (DT), and linear discriminant analysis (LDA) for the identification of pain. Various pain scenarios were investigated, identification of pain (no pain, pain), multiclass (no pain, low pain, high pain), and identification of pain location (forearm, hand). Reference classification results from individual sensors and from all sensors together were obtained. After feature selection, results showed that EDA was the most informative sensor in the three pain conditions, 93.2±8% in identification of pain, 68.9±10% in the multiclass problem, and 56.0±8% for the identification of pain location. These results identify EDA as the superior sensor in our experimental conditions. Future work is required to validate the obtained features to improve its feasibility in more realistic scenarios. Finally, this study proposes EDA as a candidate to design a tool that can assist clinicians in the assessment of acute pain of nonverbal patients.

A cross-sectional investigation of disfluencies in typically developing Spanish-English bilingual children.

PURPOSE: This study examined the language skills and the type and frequency of disfluencies in the spoken narrative production of typically developing Spanish-English bilingual children. METHOD: A cross-sectional sample of 106 bilingual children (50 boys; 56 girls) enrolled in kindergarten through Grade 4, produced a total of 212 narrative retell language samples in English and Spanish. A specialized fluency coding system was implemented to index the percentage of total (%TD) and stuttering-like disfluencies (%SLD) in each language. Large-scale reference databases were used to classify children's dual language proficiency profiles (balanced, English dominant, Spanish dominant) based on language sample analysis measures of morphosyntax and lexical diversity. RESULTS: The bilingual Spanish-English children in this study did not demonstrate significant cross-linguistic differences for mean %TD or %SLD. However, the mean %TD and %SLD in both languages exceeded the risk threshold based on monolingual English-speaking norms. English dominant bilingual children demonstrated significantly lower %TD in English than Spanish. Spanish dominant children demonstrated significantly lower %SLD in Spanish than English. CONCLUSIONS: This study included the largest sample size of bilingual Spanish-English children investigated to date from a fluency perspective. The frequency of disfluencies was found to be variable across participants and change dynamically as a function of grade and dual language proficiency profiles, indicating the need for studies that employ larger sample sizes and longitudinal designs.

Examining Cultural and Linguistic Sensitivity of Pathways Early Autism Intervention with Hispanic Families.

PURPOSE: This research aimed to evaluate evidence of Pathways parent-mediated early autism intervention as a culturally and linguistically sensitive intervention (CLSI) for Hispanic families with autistic children. METHODS: We used Bernal et al.'s ecologically valid (EV) framework to evaluate current practice and Hispanic parents' perceptions of Pathways 1 ½ years after completing the intervention. Both quantitative and qualitative methods were used. Nineteen parents were contacted, of which 11 completed a semi-structured interview about their experience with Pathways. RESULTS: On average, the group that completed the interview was less educated, had more monolingual Spanish speakers, and rated their general experience with the intervention slightly more positively than those who did not agree to complete the interview. A review of Pathways's current practices through the lens of the EV framework suggested that Pathways was a CLSI for Hispanic participants in the domains of context, methods, language, and persons. Parental interviews echoed these strengths. However, Pathways did less well balancing evidence-based intervention strategies for autistic children with the heritage value of respeto. CONCLUSION: Pathways demonstrated strengths regarding cultural and linguistic sensitivity for Hispanic families with young autistic children. Future work with our community stakeholder group will integrate heritage and majority culture perspectives to strengthen Pathways as a CLSI.

A systematic review of neurophysiological sensing for the assessment of acute pain.

Pain is a complex and personal experience that presents diverse measurement challenges. Different sensing technologies can be used as a surrogate measure of pain to overcome these challenges. The objective of this review is to summarise and synthesise the published literature to: (a) identify relevant non-invasive physiological sensing technologies that can be used for the assessment of human pain, (b) describe the analytical tools used in artificial intelligence (AI) to decode pain data collected from sensing technologies, and (c) describe the main implications in the application of these technologies. A literature search was conducted in July 2022 to query PubMed, Web of Sciences, and Scopus. Papers published between January 2013 and July 2022 are considered. Forty-eight studies are included in this literature review. Two main sensing technologies (neurological and physiological) are identified in the literature. The sensing technologies and their modality (unimodal or multimodal) are presented. The literature provided numerous examples of how different analytical tools in AI have been applied to decode pain. This review identifies different non-invasive sensing technologies, their analytical tools, and the implications for their use. There are significant opportunities to leverage multimodal sensing and deep learning to improve accuracy of pain monitoring systems. This review also identifies the need for analyses and datasets that explore the inclusion of neural and physiological information together. Finally, challenges and opportunities for designing better systems for pain assessment are also presented.

Experimental Exploration of Multilevel Human Pain Assessment Using Blood Volume Pulse (BVP) Signals.

Critically ill patients often lack cognitive or communicative functions, making it challenging to assess their pain levels using self-reporting mechanisms. There is an urgent need for an accurate system that can assess pain levels without relying on patient-reported information. Blood volume pulse (BVP) is a relatively unexplored physiological measure with the potential to assess pain levels. This study aims to develop an accurate pain intensity classification system based on BVP signals through comprehensive experimental analysis. Twenty-two healthy subjects participated in the study, in which we analyzed the classification performance of BVP signals for various pain intensities using time, frequency, and morphological features through fourteen different machine learning classifiers. Three experiments were conducted using leave-one-subject-out cross-validation to better examine the hidden signatures of BVP signals for pain level classification. The results of the experiments showed that BVP signals combined with machine learning can provide an objective and quantitative evaluation of pain levels in clinical settings. Specifically, no pain and high pain BVP signals were classified with 96.6% accuracy, 100% sensitivity, and 91.6% specificity using a combination of time, frequency, and morphological features with artificial neural networks (ANNs). The classification of no pain and low pain BVP signals yielded 83.3% accuracy using a combination of time and morphological features with the AdaBoost classifier. Finally, the multi-class experiment, which classified no pain, low pain, and high pain, achieved 69% overall accuracy using a combination of time and morphological features with ANN. In conclusion, the experimental results suggest that BVP signals combined with machine learning can offer an objective and reliable assessment of pain levels in clinical settings.

Post-stroke rehabilitation of the ankle joint with a low cost monoarticular ankle robotic exoskeleton: Preliminary results.

Introduction: Stroke generates a high rate of disability and, in particular, ankle spasticity is a sequelae that interferes with the execution of daily activities. Robotic devices have been proposed to offer rehabilitation treatments to recover control of ankle muscles and hence to improve gait function. Objective: The aim of this study is to investigate the effects of passive stretching, combined with active and resisted movement, accompanied by visual feedback, by means of playful interactive software using a low-cost monoarticular robot (MEXO) in patients with stroke sequelae and spastic ankle. Methods: An open, uncontrolled, non-randomised, quasi-experimental study of 6 weeks duration has been completed. A protocol has been defined to determine the usability, safety and potential benefits of supplementary treatment with the MEXO interactive system in a group of patients. Nine volunteer patients with sequelae of stroke who met the inclusion criteria were included. They received conventional treatment and in addition also received treatment with the MEXO monoarticular robot three times a week during 6 weeks. Each session consisted of 10 min of passive stretching followed by 20 min of active movement training with visual feedback (10 min active without resistance, 10 min with resistance) and a final phase with 10 min of passive stretching. The following variables were measured pre- and post-treatment: joint range of motion and ankle muscle strength, monopodal balance, muscle tone, gait ability and satisfaction with the use of assistive technology. Results: Statistically significant improvements were obtained in joint range measured by goniometry and in balance measured by monopodal balance test. Also in walking capacity, through the measurement of travelled distance. Discussion and significance: Device usability and patient safety were tested. Patients improved joint range and monopodal balance. The MEXO exoskeleton might be a good alternative for the treatment of spastic ankle joint in people with a stroke sequela.

Measuring Cognitive Workload Using Multimodal Sensors.

This study aims to identify a set of indicators to estimate cognitive workload using a multimodal sensing approach and machine learning. A set of three cognitive tests were conducted to induce cognitive workload in twelve participants at two levels of task difficulty (Easy and Hard). Four sensors were used to measure the participants' physiological change, including, Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and blood oxygen saturation (SpO2). To understand the perceived cognitive workload, NASA-TLX was used after each test and analysed using Chi-Square test. Three well-know classifiers (LDA, SVM, and DT) were trained and tested independently using the physiological data. The statistical analysis showed that participants' perceived cognitive workload was significantly different ( ) between the tests, which demonstrated the validity of the experimental conditions to induce different cognitive levels. Classification results showed that a fusion of ECG and EDA presented good discriminating power (acc = 0.74) for cognitive workload detection. This study provides preliminary results in the identification of a possible set of indicators of cognitive workload. Future work needs to be carried out to validate the indicators using more realistic scenarios and with a larger population.

Propuesta del protocolo de actuación de la Unidad Quirúrgica para enfrentar la COVID-19 / A proposed performance protocol to confront covid-19 in the surgical unit

Introducción: El 11 de marzo de 2020, la Organización Mundial de la Salud declara la COVID-19, enfermedad producida por un nuevo coronavirus (SARS-CoV-2), como una pandemia. Cuba, a pesar de todas las regulaciones establecidas por las autoridades sanitarias y estatales, desde el inicio de la pandemia, comienza el año 2021 con más de 29 mil enfermos y alrededor de 200 fallecidos. Objetivo: Describir las medidas que conforman el protocolo de actuación de la Unidad Quirúrgica del Instituto Nacional de Nefrología en el enfrentamiento a la COVID-19. Métodos: Se realizó una revisión de la literatura actual. Las fuentes de información utilizadas fueron: Google Académico, Medline, Embase, PubMed, Hinari, Clinical Key, Elsevier, Research-Gate, Web of Science, web de la OMS y el sitio oficial de gobierno del Ministerio de Salud Pública en Cuba. Desarrollo: En el contexto actual, la Unidad Quirúrgica del Instituto Nacional de Nefrología asume cirugías generales y urológicas, urgentes y emergentes, así como cirugías electivas relacionadas con el acceso vascular para hemodiálisis. Se establecen medidas higiénico-epidemiológicas recomendadas internacionalmente para las unidades quirúrgicas durante la pandemia, las cuales quedan descritas en el presente artículo. Conclusiones: La existencia de un protocolo de actuación en la Unidad Quirúrgica para el enfrentamiento a la COVID- 19 constituye una herramienta indispensable con el fin de crear un escenario preventivo de la enfermedad. Todos los trabajadores deben estar capacitados y tener a su disposición los equipos de protección individual(AU)

Introduction: On March 11, 2020, the World Health Organization (WHO) declared COVID-19, a disease produced by a new coronavirus (SARS-CoV-2), as a pandemic. Cuba, despite all the regulations established by health and state authorities since the beginning of the pandemic, begins the year 2021 with more than 29.000 sick people and about 200 deaths. Objective: To describe the measures that make up the performance protocol of the surgical unit of the National Institute of Nephrology in the confrontation of COVID-19. Methods: A review of the current literature was carried out. The sources of information used were Google Scholar, Medline, Embase, PubMed, Hinari, Clinical Key, Elsevier, Research-Gate, Web of Science, the WHO's website and the official government site of the Ministry of Public Health in Cuba. Development: In the current context, the surgical unit of the National Institute of Nephrology performs general and urological, urgent and emergent surgeries, as well as elective surgeries related to vascular access for hemodialysis. Internationally recommended hygienic-epidemiological measures are established for surgical units during the pandemic, which are described in this article. Conclusions: The existence of a performance protocol in the surgical unit for the confrontation of COVID- 19 is an indispensable tool for creating a preventive scenario against the disease. All workers should be trained and have personal protective equipment at their disposal(AU)

Dual Language Profiles in Spanish-Speaking English Learners.

PURPOSE: The purpose of this study was to identify and describe latent dual language profiles in a large sample of school-age Spanish-English bilingual children designated as English learners (ELs) by their school district. METHOD: Data for this study include 847 Spanish-speaking ELs from kindergarten to third grade. Spanish and English narrative retell language samples were collected from all participants. Four oral language measures were calculated in Spanish and English, including the subordination index, moving average type-token ratio, narrative structure scheme (NSS), and words per minute using Systematic Analysis of Language Transcript. These indicator measures were used in a latent profile analysis to identify dual language profiles. RESULTS: The optimal model represents a four-profile solution, including a Spanish-dominant group (average Spanish, low English), an English-dominant group (low Spanish, average English), and two balanced groups (a balanced-average group and a balanced-high group). Additionally, participants displayed uneven performance across language domains and distinct patterns of unique strength or weakness in a specific domain in one of their two languages. CONCLUSIONS: Findings from this study highlight the large variability in English and Spanish oral language abilities in school-age Spanish-speaking ELs and suggest that a dichotomous classification of ELs versus English-proficient students may not be sufficient to determine the type of educational program that best fits a specific bilingual child's need. These findings highlight the need to assess both languages across multiple language domains to paint a representative picture of a bilingual child's language abilities. The dual language profiles identified may be used to guide the educational program selection process to improve the congruence among the linguistic needs of an individual child, teachers' use of instructional language, and the goals of the educational program (i.e., improving English proficiency vs. supporting dual language development). SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.20151836.

Chest and pelvis coordination during functional reach test: A possible indication of balance deficiency in older adults.

Falls in older adults represent the most common cause of injuries and a major cause of mortality in this vulnerable population. The morbidity and mortality rate of falls among older people makes balance analysis in older adults very important. Therefore, this study aims to explore different metrics that can potentially be used to identify early indications of balance loss and fall risk. To that end, the motion strategies and chest and pelvis coordination of a group of younger, a group of older non-faller and a group of older faller participants while conducting the functional reach test were investigated. To analyse the motion strategies of the different participant groups, four metrics of maximum angular rotation of chest, maximum angular rotation of pelvis, time warped chest and pelvis angular rotation difference, and the mean continuous relative phase of the chest and pelvis were assessed. In this study younger participants are found to have larger maximum chest rotation, maximum pelvis rotation, and time warped chest and pelvis angular rotation difference compared to older participants. However, these metrics were not significantly different in older non-fallers compared to older fallers. Meanwhile, the mean continuous relative phase of the chest and pelvis was the only metric found to be significantly different among all three participant groups. This metric is indicative of the chest and pelvis coordination which is associated with the ability to construct proper coordination and maintain balance. The mean continuous relative phase yielded the sensitivity of 92.3% and specificity of 73.7% in recognizing older fallers from older non-fallers. The results suggest that this metric might be useful in identifying the risk of falling in older population, thus, it should be further studied in a prospective study.

Self-Regulation Development Among Young Spanish-English Dual Language Learners.

Despite strong evidence self-regulation skills are critical for school readiness, there remains a dearth of longitudinal studies that describe developmental trajectories of self-regulation, particularly among low-resource and underrepresented populations such as Spanish-English dual-language learners (DLLs). The present study examined individual differences in trajectories of self-regulation among 459 Spanish-English DLLs who were Hispanic from four different samples and three geographic locations in the U.S. Self-regulation was assessed in all samples using repeated administration of the Head-Toes-Knees-Shoulders (HTKS) task from early childhood through early elementary school. Results of latent growth curve analyses revealed that growth was best represented by quadratic trajectories. Latent class growth analyses captured significant individual differences in self-regulation trajectories. One group of children (41%) started with higher HTKS scores and displayed rapid early growth in performance. A similar percentage of children (41%) displayed intermediate growth in self-regulation, starting with lower HTKS scores but displaying rapid growth commencing arrange 4.5 years. Finally, about 18% of the sample did not display growth in HTKS performance until after entry to elementary school, around age 6 years. Girls were half as likely as boys to be in this later developing group. Likewise, children from families at the upper end of the socioeconomic distribution in this low-income sample were significantly less likely to be in the later developing group relative to children from families with lower SES. Study findings indicate the importance of monitoring growth rates in self-regulation as a means of identifying children at risk for entering school without the requisite self-regulation skills.

Intensive Stuttering Therapy with Telepractice Follow-Up: Longitudinal Outcomes.

PURPOSE: This study estimated the treatment outcomes of a behavioral stuttering therapy program that blended a combination of intensive face-to-face therapy with telepractice-based follow-up therapy. METHOD: A total of 17 participants (mean age = 22 years) who stutter participated in the program, preceded by an extended baseline period. The participants completed a series of assessments conducted over multiple time points, spanning a total of 42 weeks. Growth curve modeling was used to analyze the changes participants experienced in the frequency of stuttering, stuttering severity, communication attitudes, and quality of life. RESULTS: The participants demonstrated stability throughout the extended baseline period, and experienced positive outcomes from the intensive program and the gains in communication attitudes and quality of life were largely maintained with weekly follow-up telepractice sessions. However, stuttering frequency and severity increased when the telepractice follow-up session frequency transitioned to a biweekly basis. Neither gender nor age group predicted the treatment outcomes for frequency or severity of stuttering. Gender-based differences were found for the treatment outcomes of specific self-report measures, with male participants having demonstrated a greater proportional decline on their standard scores, relative to female participants. Outcomes were similar for both adolescents and adults. CONCLUSIONS: Participants attending the intensive stuttering therapy program experienced positive and significant changes in their speech, attitudes toward communication, and overall quality of life, which were maintained over time with structured, weekly telepractice follow-up sessions.

A Longitudinal Study of Language Use During Early Mother-Child Interactions in Spanish-Speaking Families Experiencing Low Income.

PURPOSE: This longitudinal study assessed continuity and stability of productive language (vocabulary and grammar) and discourse features (turn-taking; asking and responding to questions) during mother-child play. METHOD: Parent-child language use in 119 Spanish-speaking, Mexican immigrant mothers and their children at two ages (M = 2.5 and 3.6 years) was evaluated from transcriptions of interactions. RESULTS: Child productive language significantly increased over the year, whereas mothers showed commensurate increases in vocabulary diversity but very little change in grammatical complexity. Mother-child discourse was characterized by discontinuity: Mothers decreased their turn length and asked fewer questions while children increased on both measures. Rates of responding to questions remained high for both mothers and children even as children increased and mothers decreased over time. Mothers and children showed significant rank-order stability in productive language and measures of discourse. Mothers' rate of asking questions and children's responses to questions during the first interaction predicted children's receptive vocabulary a year later. CONCLUSIONS: As children become more sophisticated communicators, language input remains important, with discourse features growing in relevance. Children's early opportunities to respond to parents' questions in the context of play benefit their language skills. This work extends the evidence base from monolingual English-speaking families and is interpreted in the context of prior research on parenting practices in U.S. families of Mexican origin.

The Quality of Mother-Toddler Communication Predicts Language and Early Literacy in Mexican-American Children from Low-Income Households.

This longitudinal study documents the key role of early joint engagement in the language and early literacy development of Mexican-American children from low-income households. This rapidly growing population often faces challenges as sequential Spanish-English language learners. Videos of 121 mothers and their 2.5-year-old children interacting in Spanish for 15 min were recorded in 2009-2011 in the Dallas-Fort Worth metropolitan area. Researchers reliably rated general dyadic features of joint engagement-symbol-infused joint engagement, shared routines and rituals, and fluency and connectedness-that have been found to facilitate language development in young English-speaking children. The construct respeto, a valued aspect of traditional Latino parenting, was also rated using two culturally specific items-the parent's calm authority and the child's affiliative obedience. In addition, three individual contributions-maternal sensitivity, quality of maternal language input, and quality of child language production-were assessed. General features of joint engagement at 2.5 years predicted expressive and receptive language at 3.6 years and receptive language and early literacy at 7.3 years, accounting for unique variance over and above individual contributions at 2.5 years, with some effects being stronger in girls than boys. The level of culturally specific joint engagement did not alter predictions made by general features of joint engagement. These findings highlight the importance of the quality of early communication for language and literacy success of Mexican-American children from low-income households and demonstrate that culturally specific aspects of early interactions can align well with general features of joint engagement.