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Appetite Jun 2024The aim of this review is to provide an overview of parental communication patterns during mealtimes, with a special emphasis being placed on the differences between...
Parental verbal communication and modeling behavior during mealtimes shape offspring eating behavior - a systematic review with a focus on clinical implications for eating disorders.
OBJECTIVE
The aim of this review is to provide an overview of parental communication patterns during mealtimes, with a special emphasis being placed on the differences between families with and without a history of eating disorders.
METHODS
The systematic review was conducted according to the PRISMA statement. A systematic literature search was carried out in PubMed, PubPsych and PsycINFO and the results were assessed for eligibility by two independent raters using the PICOS criteria. Only studies that included a mealtime observation were considered suitable for analysis of both explicit and implicit parental communication.
RESULTS
The results of the review suggest that mothers communicate more, with more complexity, and with a greater variety of words with their children during mealtimes compared to fathers. The intention and type of communication is diverse and heterogeneous. In general, parents often tried to encourage their children to eat. Verbal modeling and co-eating appeared to be common behaviors. Mothers with a history of eating disorders expressed more negative emotions during eating than mothers without eating disorders. Findings regarding the use of positive comments and controlling speech are contradicting.
DISCUSSION
The review outlines major fields of parent-child communication and modeling behavior around family meals which might be relevant to investigate and integrate into models of intergenerational transmission of eating behavior and disordered eating.
PubMed: 38944057
DOI: 10.1016/j.appet.2024.107584 -
Journal of Alzheimer's Disease : JAD Jun 2024Traumatic brain injury (TBI) may confer risk for Alzheimer's disease (AD) through amyloid-β (Aβ) overproduction. However, the relationship between TBI and Aβ levels...
BACKGROUND
Traumatic brain injury (TBI) may confer risk for Alzheimer's disease (AD) through amyloid-β (Aβ) overproduction. However, the relationship between TBI and Aβ levels in cerebrospinal fluid (CSF) remains unclear.
OBJECTIVE
To explore whether Aβ overproduction is implicated in the relationship between TBI and AD, we compared CSF levels of Aβ in individuals with a TBI history versus controls (CTRLs) and related CSF Aβ levels to cognitive markers associated with preclinical AD.
METHODS
Participants were 112 non-impaired Veterans (TBI = 56, CTRL = 56) from the Alzheimer's Disease Neuroimaging Initiative-Department of Defense database with available cognitive data (Boston Naming Test [BNT], Rey Auditory Verbal Learning Test [AVLT]) and CSF measures of Aβ42, Aβ40, and Aβ38. Mediation models explored relationships between TBI history and BNT scores with Aβ peptides as mediators.
RESULTS
The TBI group had higher CSF Aβ40 (t = -2.43, p = 0.017) and Aβ38 (t = -2.10, p = 0.038) levels than the CTRL group, but groups did not differ in CSF Aβ42 levels or Aβ42/Aβ40 ratios (p > 0.05). Both Aβ peptides negatively correlated with BNT (Aβ40: rho = -0.20, p = 0.032; Aβ38: rho = -0.19, p = 0.048) but not AVLT (p > 0.05). Aβ40 had a significant indirect effect on the relationship between TBI and BNT performance (β= -0.16, 95% CI [-0.393, -0.004], PM = 0.54).
CONCLUSIONS
TBI may increase AD risk and cognitive vulnerability through Aβ overproduction. Biomarker models incorporating multiple Aβ peptides may help identify AD risk among those with TBI.
PubMed: 38943392
DOI: 10.3233/JAD-240254 -
Frontiers in Psychology 2024Metformin has been used as a targeted treatment to potentially improve cognition and slow the typical IQ decline that occurs during development among individuals with...
INTRODUCTION
Metformin has been used as a targeted treatment to potentially improve cognition and slow the typical IQ decline that occurs during development among individuals with fragile X syndrome (FXS). In this follow-up study, we are following the trajectory of IQ and adaptive behavior changes over 1 to 3 years in individuals with FXS who are clinically treated with metformin in an open label trial.
METHOD
Individuals with FXS ages 6 to 25 years (mean 13.15 ± 5.50) and nonverbal IQ mean 57.69 (±15.46) were treated for 1-3 years (1.88 ± 0.63). They all had a baseline IQ test using the Leiter-III non-verbal cognitive assessment and the Vineland-III adaptive behavior assessment before the start of metformin. Repeat Leiter-III and Vineland-III were completed after at least 1 year of metformin (500-1,000 mg/dose given twice a day).
RESULT
There were no significant changes in non-verbal IQ or in the adaptive behavior measurements at FDR < 0.05. The findings thus far indicate that both IQ and adaptive behavior are stable over time, and we did not see a significant decline in either measure.
CONCLUSION
Overall, the small sample size and short follow-up duration limit the interpretation of the effects of metformin on cognitive development and adaptive functioning. There is individual variability but overall for the group there was no significant decline in IQ or adaptive behavior.
PubMed: 38939222
DOI: 10.3389/fpsyg.2024.1305597 -
Cureus Jun 2024This article discusses issues and perspectives related to the study of disruptive clinician behavior (DCB) to improve patient safety and healthcare professionals' work... (Review)
Review
This article discusses issues and perspectives related to the study of disruptive clinician behavior (DCB) to improve patient safety and healthcare professionals' work environments. Multiple terminologies and ambiguous definitions have resulted in conceptual confusion in studies on DCB. In addition, subjective classifications have led the attributes of DCB to overlap and fluctuate. Therefore, we share Rosenberg's definition of DCB as "any inappropriate behavior, confrontation, or conflict, ranging from verbal abuse to physical and sexual harassment." It is recommended that DCB be understood as a hierarchical structure identified through statistical analysis of field survey data. Furthermore, a recurring list of items is duplicated across existing studies on DCB triggers, contributing factors, and influences. These items can be organized into separate path models based on their mutual relationships. Given these assumed models, we believe that further studies on DCB can shift toward elucidating the mechanisms of occurrence and impact. Finally, based on the path models, we recommend improving healthcare professionals' psychological and social states through a policy shift from "zero-tolerance" to "to err is human" as a priority issue for DCB prevention and countermeasures.
PubMed: 38938907
DOI: 10.7759/cureus.63314 -
Scientific Data Jun 2024The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated...
The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruited voluntary participants through the national Test and Trace programme and the REACT-1 survey in England from March 2021 to March 2022, during dominant transmission of the Alpha and Delta SARS-CoV-2 variants and some Omicron variant sublineages. Audio recordings of volitional coughs, exhalations, and speech were collected in the 'Speak up and help beat coronavirus' digital survey alongside demographic, symptom and self-reported respiratory condition data. Digital survey submissions were linked to SARS-CoV-2 test results. The UK COVID-19 Vocal Audio Dataset represents the largest collection of SARS-CoV-2 PCR-referenced audio recordings to date. PCR results were linked to 70,565 of 72,999 participants and 24,105 of 25,706 positive cases. Respiratory symptoms were reported by 45.6% of participants. This dataset has additional potential uses for bioacoustics research, with 11.3% participants self-reporting asthma, and 27.2% with linked influenza PCR test results.
Topics: Humans; Cough; COVID-19; Exhalation; Machine Learning; Polymerase Chain Reaction; Speech; United Kingdom
PubMed: 38937483
DOI: 10.1038/s41597-024-03492-w -
The Journal of the Acoustical Society... Jun 2024Advancing age is associated with decreased sensitivity to temporal cues in word segments, particularly when target words follow non-informative carrier sentences or are... (Comparative Study)
Comparative Study
Advancing age is associated with decreased sensitivity to temporal cues in word segments, particularly when target words follow non-informative carrier sentences or are spectrally degraded (e.g., vocoded to simulate cochlear-implant stimulation). This study investigated whether age, carrier sentences, and spectral degradation interacted to cause undue difficulty in processing speech temporal cues. Younger and older adults with normal hearing performed phonemic categorization tasks on two continua: a Buy/Pie contrast with voice onset time changes for the word-initial stop and a Dish/Ditch contrast with silent interval changes preceding the word-final fricative. Target words were presented in isolation or after non-informative carrier sentences, and were unprocessed or degraded via sinewave vocoding (2, 4, and 8 channels). Older listeners exhibited reduced sensitivity to both temporal cues compared to younger listeners. For the Buy/Pie contrast, age, carrier sentence, and spectral degradation interacted such that the largest age effects were seen for unprocessed words in the carrier sentence condition. This pattern differed from the Dish/Ditch contrast, where reducing spectral resolution exaggerated age effects, but introducing carrier sentences largely left the patterns unchanged. These results suggest that certain temporal cues are particularly susceptible to aging when placed in sentences, likely contributing to the difficulties of older cochlear-implant users in everyday environments.
Topics: Humans; Cues; Speech Perception; Aged; Young Adult; Adult; Age Factors; Acoustic Stimulation; Aging; Middle Aged; Time Factors; Female; Male; Speech Acoustics; Phonetics; Audiometry, Speech; Aged, 80 and over; Adolescent; Speech Intelligibility
PubMed: 38934563
DOI: 10.1121/10.0026434 -
The Behavioral and Brain Sciences Jun 2024There is no room for pragmatic expectations about communicative interactions in core cognition. Spelke takes the combinatorial power of the human language faculty to...
There is no room for pragmatic expectations about communicative interactions in core cognition. Spelke takes the combinatorial power of the human language faculty to overcome the limits of core cognition. The question is: Why should the combinatorial power of the human language faculty support infants' pragmatic expectations not merely about speech, but also about nonverbal communicative interactions?
Topics: Humans; Infant; Language Development; Cognition; Nonverbal Communication; Child Development; Language; Speech; Communication
PubMed: 38934442
DOI: 10.1017/S0140525X23003230 -
Heliyon Jun 2024Autism spectrum disorder (ASD) is a behaviorally defined complex neurodevelopmental syndrome characterized by persistent social communication and interaction deficit.... (Review)
Review
Autism spectrum disorder (ASD) is a behaviorally defined complex neurodevelopmental syndrome characterized by persistent social communication and interaction deficit. Transcranial magnetic stimulation (TMS) is a promising and emerging tool for the intervention of ASD by reducing both core and associate symptoms. Several reviews have been published regarding TMS-based ASD treatment, however, a systematic review on study characteristics, specific stimulating parameters, localization techniques, stimulated targets, behavioral outcomes, and neuroimage biomarker changes is lagged behind since 2018. Here, we performed a systematic search on literatures published after 2018 in PubMed, Web of Science, and Science Direct. After screening, the final systematic review included 17 articles, composing seven randomized controlled trial studies and ten open-label studies. Two studies are double-blind, while the other studies have a moderate to high risk of bias attributing to inadequate subject- and evaluator-blinding to treatment allocation. Five studies utilize theta-burst stimulation mode, and the others apply repetitive TMS with low frequency (five studies), high frequency (six studies), and combined low and high frequency stimulation (one study). Most researchers prioritize the bilateral dorsolateral prefrontal lobe as stimulation target, while parietal lobule, inferior parietal lobule, and posterior superior temporal sulci have also emerged as new targets of attention. One third of the studies use neuronavigation based on anatomical magnetic resonance imaging to locate the stimulation target. After TMS intervention, discernible enhancements across a spectrum of scales are evident in stereotyped behavior, repetitive behavior, and verbal social domains. A comprehensive review of literature spanning the last five years demonstrates the potential of TMS treatment for ASD in ameliorating the clinical core symptoms.
PubMed: 38933955
DOI: 10.1016/j.heliyon.2024.e32251 -
Sensors (Basel, Switzerland) Jun 2024Existing end-to-end speech recognition methods typically employ hybrid decoders based on CTC and Transformer. However, the issue of error accumulation in these hybrid...
Existing end-to-end speech recognition methods typically employ hybrid decoders based on CTC and Transformer. However, the issue of error accumulation in these hybrid decoders hinders further improvements in accuracy. Additionally, most existing models are built upon Transformer architecture, which tends to be complex and unfriendly to small datasets. Hence, we propose a Nonlinear Regularization Decoding Method for Speech Recognition. Firstly, we introduce the nonlinear Transformer decoder, breaking away from traditional left-to-right or right-to-left decoding orders and enabling associations between any characters, mitigating the limitations of Transformer architectures on small datasets. Secondly, we propose a novel regularization attention module to optimize the attention score matrix, reducing the impact of early errors on later outputs. Finally, we introduce the tiny model to address the challenge of overly large model parameters. The experimental results indicate that our model demonstrates good performance. Compared to the baseline, our model achieves recognition improvements of 0.12%, 0.54%, 0.51%, and 1.2% on the Aishell1, Primewords, Free ST Chinese Corpus, and Common Voice 16.1 datasets of Uyghur, respectively.
Topics: Humans; Speech Recognition Software; Algorithms; Speech; Nonlinear Dynamics; Pattern Recognition, Automated
PubMed: 38931629
DOI: 10.3390/s24123846 -
Scientific Reports Jun 2024Accommodating talker variability is a complex and multi-layered cognitive process. It involves shifting attention to the vocal characteristics of the talker as well as...
Accommodating talker variability is a complex and multi-layered cognitive process. It involves shifting attention to the vocal characteristics of the talker as well as the linguistic content of their speech. Due to an interdependence between voice and phonological processing, multi-talker environments typically incur additional processing costs compared to single-talker environments. A failure or inability to efficiently distribute attention over multiple acoustic cues in the speech signal may have detrimental language learning consequences. Yet, no studies have examined effects of multi-talker processing in populations with atypical perceptual, social and language processing for communication, including autistic people. Employing a classic word-monitoring task, we investigated effects of talker variability in Australian English autistic (n = 24) and non-autistic (n = 28) adults. Listeners responded to target words (e.g., apple, duck, corn) in randomised sequences of words. Half of the sequences were spoken by a single talker and the other half by multiple talkers. Results revealed that autistic participants' sensitivity scores to accurately-spotted target words did not differ to those of non-autistic participants, regardless of whether they were spoken by a single or multiple talkers. As expected, the non-autistic group showed the well-established processing cost associated with talker variability (e.g., slower response times). Remarkably, autistic listeners' response times did not differ across single- or multi-talker conditions, indicating they did not show perceptual processing costs when accommodating talker variability. The present findings have implications for theories of autistic perception and speech and language processing.
Topics: Humans; Male; Female; Adult; Speech Perception; Autistic Disorder; Young Adult; Reaction Time; Speech; Attention; Middle Aged; Language
PubMed: 38926416
DOI: 10.1038/s41598-024-62429-w