Aspects Of Behavior Research Articles

Teacher engagement in professional learning communities in preschool contexts

ABSTRACT Despite the valuable insights provided by previous studies on the characteristics and contributing factors of professional learning communities (PLCs) in early childhood education contexts, there remains a lack of research investigating teacher engagement within PLCs and its influence on driving transformative change. The objective of this study was to examine teacher engagement in PLCs and its effects on teaching practices within preschool settings. Ten English teachers from two preschools in Hong Kong participated in the study through university-school partnerships. Data was collected through interviews, observations, and recall commentary. The findings revealed that frontline teachers actively engaged in various dimensions within the PLCs, including cognitive, behavioural, affective, and social aspects. These four dimensions were found to be interconnected and mutually inclusive. Increased teacher engagement within the PLCs resulted in changes in teaching practices, particularly towards play-based learning. In conclusion, this study emphasises the implications of these findings for government support and teacher development in the preschool field.

A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations

In recent years, there has been a growing interest in using model-free deep reinforcement learning (DRL)-based controllers as an alternative approach to improve the dynamic behavior, efficiency, and other aspects of DC–DC power electronic converters, which are traditionally controlled based on small signal models. These conventional controllers often fail to self-adapt to various uncertainties and disturbances. This paper presents a design methodology using proximal policy optimization (PPO), a widely recognized and efficient DRL algorithm, to make near-optimal decisions for real buck converters operating in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) while handling resistive and inductive loads. Challenges associated with delays in real-time systems are identified. Key innovations include a chattering-reduction reward function, engineering of input features, and optimization of neural network architecture, which improve voltage regulation, ensure smoother operation, and optimize the computational cost of the neural network. The experimental and simulation results demonstrate the robustness and efficiency of the controller in real scenarios. The findings are believed to make significant contributions to the application of DRL controllers in real-time scenarios, providing guidelines and a starting point for designing controllers using the same method in this or other power electronic converter topologies.

Effect of Agricultural Pesticide, Cypermethrin on Changes in Behavioural and Protein profile of larvivorous fish Aplocheilus lineatus

Cypermethrin is a synthetic pesticide that is widely used in agricultural fields and domestic areas to control pests and insect vectors. Cypermethrin considered to be a synthetic pyrethroid is extremely lethal on insects, and fishes and has a low impact on mammals and Aves. The present study aimed to investigate the acute toxicity of cypermethrin on the larvivorous fish Aplocheilus lineatus, which is the most common fish seen in pools, ponds, streams, paddy fields, and similar wetlands. The fish is highly significant in controlling vector-borne diseases prevailing in tropical countries. The LC50 value was determined to be 1.8 µg/L after 96 hrs of exposure to cypermethrin and the lethal value was 4 µg/L. The fish showed various behavioral changes during the experiment, including convulsions, vigorous gasping for air, erratically swimming, and loss of equilibrium. The results showed that even low concentrations of cypermethrin can exert acute effects on the biochemical constituents and behavioral aspects of A. lineatus. Total protein, structural protein, and soluble protein decreased from 1.33 ± 0.003 to 0.746 ± 0.015 mg/g, 0.967 ± 0.024 to 0.476 ± 0.0272 mg/g, and 0.444 ± 0.09 to 0.360 ± 0.018 mg/g, respectively, at 96 hours of exposure to 1 µg/L of cypermethrin. At the same time, glycogen levels also decreased from 1.11 ± 0.054 to 0.51 ± 0.019 mg/g. These variations in the behavioral and biochemical content of the fish after exposure indicate the toxic effect of cypermethrin. Hence the present study suggests monitoring and regulatory use of this pesticide.

Young Scientists and Model Children

Abstract During the Great Leap Forward (1958–1961), the state attempted to rapidly transform the country into a socialist, industrial powerhouse, necessitating the mobilisation of all members of society, including children. This article demonstrates that during the Great Leap Forward in particular, periodicals, storybooks, and newspaper stories portrayed children as independent problem-solvers and political actors, who often acted outside of, and sometimes in defiance of, adult authority. However, during this period, in daily life, teachers, parents, and Young Pioneer counsellors rewarded children for many aspects of the same behaviour as in the early years of the PRC: studying hard, helping one’s classmates, supporting the teacher, doing chores at home, and being kind and obedient to adults and authority figures. Thus, the heroic child of national media and the obedient child of daily life diverged significantly during the Great Leap Forward.

The Concept Of Amanah Metaphor In Accounting: Meaning, Guidelines, And Purposes

This paper aims to construct Amanah's (trustful) metaphor in accounting related to meaning, guidelines, and purpose. This research is a qualitative research with an interpretive paradigm which is analyzed using content analysis. Data obtained from structured interviews with 40 IAI (Indonesian Accountant Assosiation) member, the Holy Qur'an, Hadith, and other literature. The research results are in the form of the metaphorical concept of Amanah, which is interpreted by a human perspective in perceiving his duties as God's representative in the world. Accounting guidelines based on the metaphor of Amanah concept must be based on strong Aqidah, based on good morals, a responsibility to society and the Ummah, based on legal, financial processes, and behavioral aspects of each of their actions. Besides, it also purpose at hisful amwal, the existence of al kitabah, assisting decision making, calculating business zakat, determining and calculating profit sharing for the unionized party. These concept will change accountants' behavior to be more trustworthy and not materialistic because all of their work is intended only to get the pleasure of Allah.

Research trends and hotspots for frontotemporal dementia from 2000 to 2022: a bibliometric analysis.

Frontotemporal dementia (FTD) is a neurodegenerative disease with clinical, pathological, and genetic heterogeneity. FTD is receiving increasing attention because it is the second leading cause of early-onset dementia after Alzheimer's disease. This study aimed to analyse the research trends and hotspots of FTD from 2000 to 2022 using bibliometrics. Papers related to FTD from 2000 to 2020 were systematically searched through the Web of Science Core Collection (WOSCC). Citespace and Vosviewer software were used to visually analyse the retrieved data of countries/regions, institutions, journals, authors, references, and keywords. Microsoft Excel was used to generate the annual publications and growth trends. There were 10,227 papers included in the bibliometric analysis. The annual publication output on FTD has increased significantly from 2000 to 2022, with papers published in 934 academic journals and 87 countries/regions. The Journal of Alzheimer's Disease was the most popular, with 488 papers about FTD. The most productive countries/regions, institutions, and authors are the United States (n = 4,037), the University of California San Francisco (n = 687), and Miller, Bruce L. (n = 427), respectively. The article by Katya Rascovsky and her colleagues published on Brain in 2011 was the most cocited paper, with 625 citations. The research hotspots in this field were the clinical diagnostic criteria, subdivision, and pathological mechanism of FTD, such as tau protein, chromosome 17, progranulin, TDP-43, and C9orf72. The future research direction is based on biomarkers and pathological mechanisms to diagnose and differential diagnose FTD from the aspects of behavior, neuropathology, neuroimaging, and serum markers.

A multi-model attention based CNN-BiLSTM model for personality traits prediction based on user behavior on social media

The prediction of an individual’s personality traits through the analysis of their online social media activities is an area of research that has gained considerable attention in the digital era. The statistical data derived from people’s thoughts that are conveyed through their status updates on social media serves as an essential resource for understanding the various aspects of human behavior and personality. The present study is motivated by the various applications associated with personality prediction, such as targeted advertising, personalized entertainment, and customized recommendations. A multi-model attention-based convolutional neural network-bidirectional long short-term memory (CNN+BiLSTM) is proposed in the present work for personality traits prediction. The proposed model utilizes pre-trained language models, such as Global Vectors for Word Representation (GloVe) and Bidirectional Encoder Representations from Transformers (BERT), to create vector representations of words, which effectively captures word semantics. Additionally, network features such as size, betweenness, transitivity, and density are integrated with text features to enhance personality traits prediction. The results highlight the contextual understanding of the BERT model and emphasize the effectiveness of the proposed model, particularly the fusion of the attention layer with the CNN+BiLSTM architecture, which significantly improves information extraction and prediction capabilities. The integration of social network features strengthens the classifier’s ability to predict personality traits, resulting in improved overall performance.

Neural and Physiological Correlates of Prosocial Behavior: Temporoparietal Junction Activity in 3-year-old Children.

Although the development of prosocial behavior has been widely studied from the behavioral aspect, the neural mechanisms underlying prosocial behavior in the early stages of development remain unclear. Therefore, this study investigated the neural mechanisms underlying the emergence of prosocial behavior in 3-year-old children. Brain activity in the medial pFC and right TPJ (rTPJ) and facial expression activity, which are related to the ability to infer others' mental states (mentalizing), during the observation of prosocial and antisocial scenes were measured using functional near-infrared spectroscopy and electromyography, respectively. Subsequently, the children's helping and comforting behaviors toward an experimenter were assessed to examine prosocial behavioral tendencies. A correlation analysis revealed that the children who showed stronger activity levels in the rTPJ while observing prosocial scenes had more immediate helping behaviors toward others than those who did not show stronger response levels. Moreover, the amount of facial expression activity correlated with prosocial behavior, including both helping and comforting behaviors. These results suggest that the development of mentalizing ability and the social evaluation of others' actions, mediated by the rTPJ, contribute to the emergence of prosocial behavior.

Behavior Based Group Recommendation from Social Media Dataset by Using Deep Learning and Topic Modeling

In this digital era, users frequently share their thoughts, preferences, and ideas through social media, which reflect their Basic Human Values. Basic Human Values (aka values) are the fundamental aspects of human behavior, which define what we consider important, and worth having and pursue them. Existing studies identify the values of individuals from different social network usages such as Facebook and Reddit. However, discovering the similarity (or diversity) of value priorities among the members in a group is important since we can reveal many interesting insights such as finding a set of target customers, identifying the chain of misdeed groups, searching for similar acquaintances in workplaces, etc. In this paper, a graph dataset is compiled using the strongest correlation among the features and then we apply a graph clustering technique to identify a suitable hedonist group (i.e., one dimension of values) for users’ recommendations. Then, we also propose a behavior based (i.e., value ) group recommendation technique by analyzing users’ contextual and psychological attributes. Finally, we validate those group members in real life by introducing two hypotheses. In particular, we analyze the tweets of a total of 1140 users collected from Twitter. We obtain a substantial intra-cluster correlation coefficient (ICC) and silhouette clustering coefficient (SCC) scores of 65% and 76%, respectively, among the members in our discovered group.

Subthreshold activation of the melanocortin system causes generalized sensitization to anorectic agents in mice.

The melanocortin-3 receptor (MC3R) regulates GABA release from agouti-related protein (AgRP) nerve terminals and thus tonically suppresses multiple circuits involved in feeding behavior and energy homeostasis. Here, we examined the role of the MC3R and the melanocortin system in regulating the response to various anorexigenic agents. The genetic deletion or pharmacological inhibition of the MC3R, or subthreshold doses of an MC4R agonist, improved the dose responsiveness to glucagon-like peptide 1 (GLP1) agonists, as assayed by inhibition of food intake and weight loss. An enhanced anorectic response to the acute satiety factors peptide YY (PYY3-36) and cholecystokinin (CCK) and the long-term adipostatic factor leptin demonstrated that increased sensitivity to anorectic agents was a generalized result of MC3R antagonism. We observed enhanced neuronal activation in multiple hypothalamic nuclei using Fos IHC following low-dose liraglutide in MC3R-KO mice (Mc3r-/-), supporting the hypothesis that the MC3R is a negative regulator of circuits that control multiple aspects of feeding behavior. The enhanced anorectic response in Mc3r-/- mice after administration of GLP1 analogs was also independent of the incretin effects and malaise induced by GLP1 receptor (GLP1R) analogs, suggesting that MC3R antagonists or MC4R agonists may have value in enhancing the dose-response range of obesity therapeutics.

The promotive influence of positive moral emotions on prosocial behavior in 3–5‐year‐old children

AbstractProsocial behaviour is a hallmark of social and emotional competence during childhood. Thus, promoting the development of children's prosocial behaviour can have important downstream benefits for individuals and society. Previous studies indicated that there is a positive effect of negative moral emotions on prosocial behaviour, but the influence of positive moral emotions on prosocial behaviour remains largely unknown. This study adopted three experiments to investigate the influence of positive moral emotions on three aspects of prosocial behaviour in 3–5‐year‐old children. After inducing positive moral emotions in children, they were observed either in helping (Experiment 1, N = 151, 75 boys), sharing (Experiment 2, N = 141, 69 boys) or comforting (Experiment 3, N = 132, 66 boys) scenarios. Results showed that: (1) children's helping, sharing and comforting behaviours in the moral emotions (experimental) group were significantly higher than those in the control group, suggesting that positive moral emotions could positively influence the examined prosocial behaviours; (2) there were age differences in children's helping, sharing and comforting, but the effect of positive moral emotions on the examined prosocial behaviours did not differ by age and gender. These findings point to the need for fostering positive moral emotions in early cultivation of children's prosocial behaviour during pre‐schooler education.

Investigating the link between students’ learning intentions and their learning outcomes: A clustered randomised controlled trial

We investigate the impact of repeated contextual nudging on task com- pletion and performance within the setting of traditional face-to-face education, adding to a literature which has focused on non-contextual nudges, provided contextual nudges in online learning settings, or used one-time nudges. We undertake a clustered randomised controlled trial on first-year Business School students at Heriot-Watt University, employing weekly nudges during tutorials to encourage students to establish learning intentions for the upcoming week. We rule out significant treatment effects from the nudging intervention on tutorial attendance, the most important predictor of final marks of all intermediate outcomes that we consider. We are unable to make causal statements on the effects of the intervention on final marks. Nonetheless, this experiment yields valuable insights into the dynamics of repeated contextual nudging within traditional educational settings as well as shedding light on aspects of student behaviour.

Exploring the relationships between dominance behavioral system, mentalization, theory of mind and assertiveness: analysis in a non-clinical sample.

The dominance behavioral system, a fundamental aspect of human behavior, orchestrates the drive for dominance, regulates dominant-subordinate dynamics, and shapes responses to perceived power dynamics. While the existing literature extensively delves into the components of this system, scant attention is paid to its interplay with mentalization, theory of mind, and assertiveness. Moreover, gender disparities in dominance behaviors are largely studied in terms of biological variables (levels of testosterone) and clinical populations. This study aims to understand the relationships between activation strategies of the dominance behavioral system, mentalization processes, theory of mind abilities, and levels of social discomfort in assertive communication. Moreover, to identify gender differences in the dominance behavioral system in a non-clinical sample. Our sample was composed of 67 students from a non-clinical population. They claimed the absence of any psychological, neurological, or developmental disorders. A regression analysis was performed, and we found that levels of mentalization predict levels of hyperactivation of dominance behavioral system, but no significant results for the deactivation levels of the system were found. Moreover, no gender differences were found in levels of activations of the dominance behavioral system. These findings underscore the pivotal role of mentalization abilities in interpersonal dynamics, emphasizing the need for individuals to navigate social interactions adeptly. Furthermore, our research unveils implications for individual well-being and psychopathology, urging further investigation into how these dimensions intersect with various psychological disorders. By discerning the intricate mechanisms at play, we can develop targeted therapeutic interventions tailored to specific behavioral patterns, ultimately enhancing psychological resilience and fostering healthier social relationships in a non-clinical population.

New Framework for studying High Temperature Tribology (HTT) Using a Coupling Between Experimental Design and Machine Learning

High temperature tribology (HTT) is considered to start at a minimum temperature of 300°C, where organic base oils and polymers begin to decompose, up to a temperature of 1200°C. In this area of application, a tribological test is typically performed under dry or solid friction, unless a solid lubricant is used, as most lubricants oxidize or decompose when exposed to these extreme temperatures. This is the case of hot forming tribology. Therefore, specific tribometers have been developed to study the tribological behavior, wear modes, friction-wear mechanisms, and other tribological aspects in the case of contact workpiece-forming tools. However, as the interdisciplinary character of tribology represents great opportunities, but also a huge challenge to well study the tribological behaviour of materials and systems, particularly at hot temperature, results are well impacted by the proposed hypothesis, the limited number of parameters to study, the dynamic behaviors of solicitations, etc. A new approach to overcoming its limitations remains a necessity in modern research. After giving general definitions of the notions of tribological system and tribometer, an assessment of the different configurations of these test benches is established. The presentation of the tribometers is organized according to the configuration adopted. The study is based on the identification of the “originality” of the benches and the limitations of the approaches used in the study of hot temperature sliding contact. The framework of the coupling between experimentation and machine learning is presented. Different scenarios are discussed in order to develop new approaches/methods of collaboration between the design of experiment, numerical development, and ML algorithms.

Financial Distress in Genitourinary Cancer: Insights From CDC National Health Interview Survey.

This study leverages CDC National Health Interview Survey data to examine Financial Distress (FD) among genitourinary (GU) cancer survivors, specifically prostate cancer (PC), kidney cancer (KC), and bladder cancer (BC). It investigates the economic impacts faced by these patients, especially in relation to disparities in insurance coverage and its effects on material, psychological, and behavioral aspects of FD. We retrospectively analyzed responses from GU cancer survivors, stratifying by cancer status and age (18-64 years, ≥65 years). Medical financial hardship was divided into three domains: material, psychological, and behavioral. Associations between cancer history, hardship, and clinical factors were assessed using generalized ordinal logistic regressions. Significant health care access disparities were found, particularly for mental health services, with 25% of younger BC survivors and 4.7% of younger KC survivors reporting affordability issues, in contrast to 2.7% of noncancer individuals. Dental care was also problematic, with higher avoidance rates among younger BC (27%) and KC (15%) survivors compared with the general population. Surprisingly, noncancer individuals reported more difficulty in affording prescriptions than BC survivors across both age groups. PC survivors, however, showed lower FD across all domains versus noncancer controls, indicating fewer concerns about medical bills and a lesser tendency to forgo care. The study underscores significant gaps in the financial support system for GU cancer survivors, with urgent needs in mental and dental health care access. Policy interventions, including comprehensive insurance reforms, are imperative to alleviate the financial burdens on these individuals.

Pedestrians’ intent to cross in a fully autonomous vehicle environment; looking at crossing opportunity, eHMI message and wait time

Objectives Currently, pedestrians’ road-crossing decisions depend on the traffic at the crossing point, crossing opportunities, and circumstantial elements. Longer wait times on the curb and time pressure raise the number of traffic violations among pedestrians. The era of fully autonomous vehicles (FAVs) promises new interactions. External Human-Machine Interfaces (eHMIs) aim to increase the understanding of FAVs’ intentions and will influence pedestrians’ intent to cross. Yet, how pedestrian behaviors will change in the FAV era remains unclear. Further, there are no good metrics for evaluating the intricate interaction of crossing-related factors. Methods In a laboratory study, sixty participants observed crossing scenarios of a typical one-lane road with 10–12 FAVs driving along, two possible eHMI messages (“Cross!”/“Stop!”), and varying crossing opportunities (safe, risky, and unsafe). Participants had to indicate when they intended to cross the road using a designated button. Half of the participants were induced to feel time pressure. We developed index scores to convey the complexity of such crossing situations from the perspective of a pedestrian and used them to analyze the experimental data. Results In total, 48% of participants’ indications were to cross in safe crossing opportunities, 34% risky, and 18% unsafe; 69% were made when the eHMI proposition was “Cross!” and 31% for “Stop!”. High, significant, and negative correlations were found for compatible responses, e.g., with a safe crossing gap and an eHMI sign to “Cross!”. The opposite was true for incompatibility, e.g., a safe crossing gap and an eHMI sign to “Stop!” or an unsafe crossing gap and an eHMI sign to “Cross!”. The time pressure group’s median times to cross were shorter, making riskier decisions. Conclusion Our findings reflect a tendency to comply with the eHMI. In more complex scenarios where the crossing opportunity was uncertain or waiting times were longer, we observed that pedestrians were more inclined to follow the eHMI’s guidance to cross. These findings suggest that pedestrians may be more likely to follow the eHMI’s suggestion to cross than their self-skill, especially under time pressure. Our indices and metrics reflect the intricate interaction aspects of pedestrian behavior with eHMIs.

R-Baclofen Treatment Corrects Autistic-like Behavioral Deficits in the RjIbm(m):FH Fawn-Hooded Rat Strain.

The Fawn-hooded rat has long been used as a model for various peripheral and central disorders and the data available indicate that the social behavior of this strain may be compromised. However, a thorough description of the Fawn-hooded rat is unavailable in this regard. The objective of the present study was to investigate various aspects of the Fawn-hooded rat's social behavior in depth. Our results show that several facets of socio-communicational behavior are impaired in the RjIbm(m):FH strain, including defective ultrasonic vocalizations in pups upon maternal deprivation, reduced social play in adolescence and impaired social novelty discrimination in adulthood. In addition, Fawn-hooded rats exhibited heightened tactile sensitivity and hyperactivity. The defects observed were comparable to those induced by prenatal valproate exposure, a widely utilized model of autism spectrum disorder. Further on, the pro-social drug R-baclofen (0.25-1 mg/kg) reversed the autistic-like defects observed in Fawn-hooded rats, specifically the deficiency in ultrasonic vocalization, tactile sensitivity and social novelty discrimination endpoints. In conclusion, the asocial, hypersensitive and hyperactive phenotype as well as the responsivity to R-baclofen indicate this variant of the Fawn-hooded rat strain may serve as a model of autism spectrum disorder and could be useful in the identification of novel drug candidates.

Problematic Gaming and Gambling: A Systematic Review of Task-Specific EEG Protocols.

Even though gaming and gambling bear similar problematic behavioral aspects, there are no recognizable neurophysiological biomarkers or features characterizing and/or distinguishing these conditions. A systematic review of the literature with a focus on methods was performed in PubMed, Scopus, Web of Science (Web of Science Core Collection), EBSCOhost Research Databases (APA PsycINFO; APA PsycArticles; OpenDissertations; ERIC) databases. Following search terms were used to search the databases: ERP, "event related potential*", EP, "evoked potential*", SS, "steady state", EEG, electroencephal*; gam*. Data about the participants (total number, gender, age), main aim of the study and information about the experimental setup (experimental task description, stimuli used, ERPs measured (latency windows and placement of the electrodes), process evaluated) was extracted. A total of 24 studies were revised (problematic gaming - 16, pathological gambling - 8). The experimental protocols could be grouped into 3 main target domains (Cue-reactivity, General Information processing and Reward Processes & Risk Assessment). Sample-related limitations (small sample sizes, gender differences, differences between the groups regarding potential confounding variables) and heterogeneity regarding the experimental tasks, implementation and interpretation reviewed. Gambling-related research is highly focused on the investigation of the reward-related processes, whereas gaming-related research is mostly focused on the altered aspects of more general information processing. A vast heterogeneity regarding the ERP experimental paradigms being usedand lack of clear guidelines and standardized procedures prevents identification of measures capable to reliably discriminate or characterize the population susceptible to addictive behavior or being able to diagnose and monitor these disorders.

Mediation of Climate Anxiety in Doctors and Nurses: A Structural Equation Modelling Study

Aims. The goal of this meteorological psychology study is to understand the behavioral implications on the professional lives of medical professionals in one of the most polluted regions of the world with a compromised air quality index. There is a paucity of literature to explore climate ethics as to how behavioral aspects of morals may alter related to climate change. Methods. The study is a cross-sectional correlational quantitative study formulated through purposive sampling. Research took place during the smog season of the world’s most polluted city. The research instruments of Climate anxiety, pain and distress, and cognitive failure were administered to a sample of 211 medical professionals. Confirmatory factor analysis was conducted and resulted in robust model fitness with indices between .80 and .90. Item loadings for three factors were statistically ideal of greater than. 30. Barron and Kenny’s approach was applied to conduct mediation through path analysis in which climate anxiety significantly mediates between pain distress and cognitive failure (β = .51; p < .0001). Multiple regression results using bootstrap confidence showed that climate anxiety (β = .993; p < .0001), and pain distress result in cognitive failure. The independent sample t-test was carried out to explore if nurses and doctors are different in terms of experiencing climate anxiety, pain distress, and cognitive failure. Results. There is a strong significant association among climate anxiety, pain distress, and cognitive failure with strong to moderate correlation values, p < .001. Confirmatory factor analysis was conducted and resulted in robust model fitness with indices between .80 and .90. Item loadings for three factors were statistically ideal at .30. 102 Nurses (M = 85.216; SD = 4.94) were more painfully distressed, prone to cognitive failure, and have climate anxiety as compared to 109 doctors (M = 71.211; SD = 9.23).

Supporting healthy sleep: a qualitative assessment of adolescents with type 1 diabetes and their parents.

Poor sleep health is common in adolescence due to a combination of physiological, psychosocial, and environmental factors. Adolescents with type 1 diabetes (T1D) may be at increased risk for poor sleep health due to physiological and behavioral aspects of diabetes and its management. This article describes a qualitative analysis of interviews with adolescents with T1D and their parents about facilitators and barriers to sleep health and family strategies to balance teens' sleep with competing demands. Separate interviews were conducted with 20 adolescents with T1D and 20 parents. Interviews were recorded and transcribed verbatim and analyzed thematically. Participants were on average 15.8 ± 1.2 years old, 45% female, and 85% non-Hispanic White. Overnight diabetes management was the most frequently reported barrier to sleep. Families reported different strategies for taking responsibility of overnight diabetes management, which differentially impacted sleep. Families worked to balance diabetes management and sleep with other aspects of adolescent life, including school demands, social activities, and electronics use. Facilitators to healthy sleep identified by families included diabetes assistive technology and maintaining a consistent sleep/wake schedule. Both adolescents and parents voiced beliefs that their diabetes care team is not able to help with sleep health. Pediatric psychologists should be aware of the specific sleep barriers experienced by adolescents with T1D and their parents. A focus on overnight diabetes management strategies may facilitate psychologists' support of families in the adolescent's transition to independent diabetes management. Research is needed on the impact of optimizing sleep health in adolescents with T1D.