Internal Scale Research Articles

Parental Stress in Autistic Children with Poor Oral Hygiene: A Pilot Study to Develop and Validate a Measurement Scale

Background/Objectives: Research indicates that children with autism spectrum disorder (ASD) exhibit a deficiency in skills and initiative when it comes to adhering to daily oral hygiene routines. This, in turn, increases the likelihood of oral pathologies, thereby placing a significant emotional strain on their parents. In addition to the typical stress they already experience, parents of children with ASD are also burdened with pediatric oral health issues. However, a review of the literature reveals a lack of studies measuring stress in parents of children whose oral health affects their autistic condition. This research aimed to design and to validate a stress scale for parents of autistic children with poor oral hygiene. Methods: The study used an exploratory, non-experimental design to validate and determine the reliability of the scale. Scale reliability was assessed through a cross-sectional pilot test to evaluate internal scale consistency, with a focus on item similarity. We used Aiken’s V to estimate the validity of the scale, and Cronbach’s α for calculating scale reliability. Calculations, estimations, and statistical analysis were conducted using SPSS. Results: Expert validation, a pilot test, and a cross-sectional, non-experimental design established the reliability of the scale. Conclusions: We conclude that the 20-item scale exhibits validity (0.95) and reliability (0.965), ensuring its applicability in future research.

Development of hybrid first principles – Artificial intelligence models for transient modeling of power plant superheaters under load-following operation

This paper develops different approaches for synergistic integration of physics-based models with data-driven models for modeling of high temperature power plant superheaters. Two types of data-driven models are developed, namely all-nonlinear static-dynamic neural network models as well as models obtained using a Bayesian machine learning approach. Series, integrated, and parallel coupling of first-principles models and data-driven models are proposed. Algorithms for solving the training problems for the data-driven models and for simulation of the hybrid models are developed. The developed approach is applied to high temperature power plant superheaters that face considerable modeling and measurement challenges. Measurement challenges arise due to harsh operating conditions that not only make placement of sensors difficult, but life of the placed sensors very limited. Modeling challenges arise due to complex inhomogeneous spatial distribution of flue gas and steam flowrates, especially under load-following operation and uncertainties in heat transfer characteristics because of multiple factors such as stochastic spatio-temporal variation of ash deposits on the superheater tubes in coal-fired power plants, internal oxide scale formation in the tubes, etc. First-principles two-dimensional differential–algebraic equation models of two industrial superheaters, one from a natural gas combined cycle plant and another from a coal-fired power plant, are developed. The results from the models are compared against industrial operational data. For all cases studied in this work, it is observed that both for steady-state and dynamic data, the hybrid models have much higher accuracy than when only the respective first-principles models are used. For example, during prediction of the average outside tube wall temperature of superheater tubes at the combined cycle power plant, the root mean squared error observed for the standalone first-principles model improved from 12.3 °C to 0.5 °C post hybridization with data-driven models. Similarly, while predicting the main steam outlet temperature in the coal-fired plant, the hybrid models resulted in reduction of the root mean squared error value from 19.5 °C to around 2 °C. In addition, the hybrid models yield highly resolved spatio-temporal temperature profiles that can be helpful for developing monitoring approaches of these critical components under load-following operation.

On the atomistic origin of internal length scale in strain-gradient plasticity models: The case of grain boundary structures and energies

On the atomistic origin of internal length scale in strain-gradient plasticity models: The case of grain boundary structures and energies

Body image is associated with persistence. A study of the role of weight-related stigma.

The study replicates a preliminary report from 2019 on therelationship between body image and persistence. The aim of our study was to analyze the associations between body image, persistence, and body weight stereotypes. A total of 750 individuals were recruited for the study. The research was carried out in computer labs. The procedure consisted of psychological questionnaires (Persistence Scale, The Body Esteem Scale, Perceived Weight Stigma Questionnaire, Weight Bias Internalization Scale, Hospital Anxiety and Depression Scale, Formal Characteristics of Behavior - Temperament Inventory, and NEO-PI-R) and The Maze Test (a computer tool). After completing the Simple Maze Test, saliva samples were collected. Next, the subjects proceeded to the laboratory where anthropometric and body composition measurements were taken. The hormone levels (cortisol and dehydroepiandrosterone) in the collected saliva samples were analyzed via ELISA to determine stress. Body image and persistence are related variables. They are associated with the internalization of stereotypes and perceived stigma related to body weight. These associations are differentially shaped according to sex and the regularity of body weight. In women, a stronger association of these variables with body image was observed, while in men, the relationship with body image was weaker, with a stronger association shown by perceived weight-related stigma. In the group of participants with a BMI<18.5, there was no significant association between the internalization of stereotypes and the analyzed variables. This relationship appeared in the group of subjects with a normal body weight and was strongest in the group of participants who were overweight or obese. Perceived weight-related stigma was most strongly associated with body image in the group with BMI<18.5 kg/m2 and with persistence in the group with BMI>25 kg/m2. Body-related stigma affects not only overweight and obese individuals and its mechanisms may be shaped differently.

Hindi Translation, Cultural Adaptation, and Validation of Modified Weight Bias Internalization Scale (WBIS-M): A Cross-Sectional Study from the Metabolic Surgery Clinic in North India

Background: The lack of culturally-sensitive tool masks the epidemiology of weight-bias and internalized-stigma. This study aimed to translate, adapt, and validate the Modified Weight-Bias Internalization Scale (WBIS-M) into Hindi. Methods: The translation and adaptation process followed the World Health Organization guidelines. Three psychiatrists translated the original WBIS-M into Hindi. The bilingual panel comprised four psychiatrists, two laparoscopic bariatric surgeons, a professor of English, and an individual with severe obesity (with an International English Language Testing System (IELTS) score of Band 8.5) who was familiar with Western culture. The panel identified and resolved inadequate expressions of translations or discrepancies. An independent translator, whose mother tongue was English, back-translated it into the English language. Focused group discussions with individuals with severe obesity were conducted. The final H-WBIS-M was administered to undergraduates ( n = 120) after seven days. Test–retest reliability was assessed. The original WBIS-M, Eating Disorder Diagnostic Screen, and Fat Phobia Scale-Short Form were administered to 120 undergraduates and 55 individuals with severe obesity ( n = 175)]. Reliability and validity of H-WBIS-M were analyzed. Results: Kaiser–Meyer–Olkin measure of sampling adequacy was 0.788, and Bartlett’s test of sphericity was χ2 = 1381.892, p = 0.000. The exploratory factor analysis extracted three components. Spearman-Brown coefficient for H-WBIS-M was 0.875. The internal consistency was α = 0.875 ( p = 0.000), intraclass correlation coefficient was 0.857 (95% confidence interval [CI] = 0.812–0.893) ( p = 0.000), and Pearson correlation ranged from 0.869 to 0.989 ( p = 0.000). Cross-language concordance revealed a significant intraclass correlation coefficient (0.877–0.986) ( p = 0.000) and Pearson correlation ranging from 0.781 to 0.972 ( p = 0.000). Conclusions: The H-WBIS-M demonstrated good psychometric properties based on standard testing procedures.

Internalized weight stigma and psychological distress mediate the association of perceived weight stigma with food addiction among young adults: A cross-sectional study

BackgroundPerceived weight stigma (PWS) and internalized weight stigma (IWS) are both associated with psychological distress and food addiction (FA). Using the previously proposed ‘cyclic obesity/weight-based stigma’ (COBWEBS) model, the present study extended the framework to investigate the mediating effects of IWS and psychological distress in the association between PWS and FA among young adults. Given that individuals who are overweight/have obesity have different vulnerabilities, this population was separately analyzed alongside the total study population.MethodsAn online survey comprising the Perceived Weight Stigma Scale, Weight Bias Internalization Scale (WBIS), Depression, Anxiety and Stress Scale-21 (DASS-21), and modified Yale Food Addiction Scale Version 2 was completed by 601 participants (59.6% females; mean age 29.3 years [SD = 6.07]). A total of 219 participants were categorized as being overweight/having obesity.ResultsA direct correlation was found between PWS and FA (standardized coefficient [β] = 0.28, p < 0.001) among both populations, and was mediated by IWS and psychological distress (β [95% CI] = 0.03 [0.01, 0.05] for WBIS score and 0.10 [0.06, 0.14] for DASS-21 score) among the total participants, but only mediated by psychological distress among participants who were overweight/had obesity (β [95% CI] = 0.14 [0.06, 0.24]).ConclusionsThe results demonstrated novel perspectives by showing the direct association between PWS and FA and the mediating roles of IWS and psychological distress. Treatment strategies such as psychological acceptance and psychoeducation could be used to reduce weight stigma, which could have positive downstream benefits of ameliorating FA. Future research may seek to study strategies for reducing weight stigma and psychological distress, to investigate their efficacy in improving disordered eating.

Comparative study of statistical computational approaches to investigate the degraded compressive strength of concrete under the freeze-thaw effect

The primary cause of frost damage and early failure in concrete structures is the repeated freezing and thaw cycles (FTC). The evolution of internal fractures and scaling at the surface of concrete can be used to assess the impact of frost damage. Surface scaling mechanisms and interior frost damage are contingent upon numerous environmental factors, including the rate of freezing, low temperature, and duration of the freezing point. However, evaluating the amount of strength loss of concrete material is a challenging factor to consider. This work explores the application of predictive modelling tools, including random forest (RF), multilayer perceptron (MLP), decision tree (DT), and bagging, to evaluate the degraded compressive strength (D-CS) of concrete. The models use five input variables: initial compressive strength (I-CS), water-to-cement ratio (W/C), FTC, minimum temperature (Tmin), and maximum temperature (Tmax), with D-CS as the output. Model performance was compared using mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R²) metrics, with the bagging model achieving the highest predictive performance at 92 %. A 10-fold cross-validation approach validated the model's accuracy. The influence of each variable was assessed using SHapley Additive exPlanations (SHAP) analysis. Importantly, a user-friendly Graphical User Interface (GUI) was developed based on the models, making it easy for researchers and professionals to make predictions and thereby increasing the practicality and accessibility of this research. This study aids the research community in selecting appropriate models to forecast the strength of various concrete types, thereby enhancing the practical application of this research.

Unlocking Workplace Dynamo: The Impact of Internal Trust and Communication on Igniting Work Engagement

Research Question: This study delves into the intricate relationships among internal communication, internal trust, and work engagement within the context of a developing business environment undergoing cultural and economic transition. Motivation: The fundamental research inquiries seek to ascertain the interconnections between the studied phenomena and elucidate the nature of these relationships. Work engagement, identified through previous research and contemporary business practices, emerges as a pivotal force with profound implications for motivation, management, and personal development within organizations. Idea: The introduction sets the stage by emphasizing the study's focus on relationships in a transitioning business environment. Subsequent sections meticulously articulate research objectives, explore the existing literature, pose research questions, and delineate the chosen methodology, elucidating the importance of standardized instruments and the rationale behind the selection of the Serbian organizational context. Results are presented with a focus on the identified correlations, leading to the formulation of two models. The subsequent discussion critically compares these models, offering insights into the implications of trust-determined communication on work engagement. Limitations are candidly acknowledged, underscoring the need for interpretative caution. Data: The research methodology predominantly employs a quantitative approach to unravel the complexities inherent in internal communication, internal trust, and work engagement. The study encompasses a substantial sample size, consisting of 708 respondents representing 16 working organizations in Serbia. Tools: To gauge these phenomena, standardized instruments such as Internal Trust, a shortened version of the Utrecht Work Engagement Scale, and the Internal Communication Scale were employed. The anticipated results unveil robust correlations among the elements under scrutiny. Findings: The findings culminate in the proposition of two models, with structural equation modelling revealing a model where trust determines communication, subsequently influencing work engagement as the more fitting representation. This model presents a nuanced understanding of the intricate dynamics within organizational frameworks. Contribution: Despite acknowledging certain limitations in the study, the research underscores its importance in the quest for the most influential factors contributing to work engagement in organizations. The research serves as a valuable contribution to the broader discourse on organizational behaviuor, shedding light on crucial factors that influence employee engagement in evolving business landscapes.

Multiscale Conditional Adversarial Networks based domain-adaptive method for rotating machinery fault diagnosis under variable working conditions

Deep learning has been increasingly used in health management and maintenance decision-making for rotating machinery. However, some challenges must be addressed to make this technology more effective. For example, the collected data is assumed to follow the same feature distribution, and sufficient labeled training data are available. Unfortunately, domain shifts occur inevitably in real-world scenarios due to different working conditions, and acquiring sufficient labeled samples is time-consuming and expensive in complex environments. This study proposes a novel domain adaptive framework called deep Multiscale Conditional Adversarial Networks (MCAN) for machinery fault diagnosis to address these shortcomings. The MCAN model comprises two key components. Constructed by a novel multiscale module with an attention mechanism, the first component is a shared feature generator that captures rich features at different internal perceptual scales, and the attention mechanism determines the weights assigned to each scale, enhancing the model’s dynamic adjustment and self-adaptation capabilities. The second component consists of two domain classifiers based on Bidirectional Long Short-Term Memory (BiLSTM) leveraging spatiotemporal features at various levels to achieve domain adaptation in the output space. The deep domain classifier also captures the cross-covariance dependencies between feature representations and classifier predictions, thereby improving the predictions’ discriminability. The proposed method has been evaluated using two publicly available fault diagnosis datasets and one condition monitoring experiment. The results of cross-domain transfer tasks demonstrated that the proposed method outperformed several state-of-the-art methods in terms of transferability and stability. This result is a significant step forward in deep learning for health management and maintenance decision-making for rotating machinery, and it has the potential to revolutionize its future application.

Evaluation of simulation-based intervention for implicit bias mitigation: A response to systemic racism

BackgroundTraining health care professionals to mitigate implicit biases can reduce health inequities caused by racism. Implicit bias mitigation strategies (IBMS) have been shown to reduce biased behaviors. This study aimed to determine the impact of IBMS practice simulation on learners’ behaviors and family experience in one hospital unit. MethodsThis study used a quasi-experimental design in a large pediatric hospital. In total, 195 participants completed a simulation-based education intervention. Learners practiced IBMS with Simulated Participants. Participant perceptions were measured at four time points, and translational outcomes were collected using survey results and other outcomes. ResultsSituational judgment test results improved postintervention and at follow-up. Participants reported using IBMS skills at time points three and four. Internal and External Motivation Scale and family satisfaction scores remained unchanged. Family experience measures improved, showing decreases in security dispatch calls for perceived family escalation and in deny entries and behavioral contracts stratified by race. ConclusionsSimulation can shift perspectives and behaviors. More research is needed on the impact of simulation-based interventions on IBMS skill development and translational outcomes.

Testing the validity of the Norwegian translation of the modified weight bias internalization scale

BackgroundIndividuals with higher weight (overweight or obesity) may experience social stigma due to their weight. Weight stigma can be internalized with adverse health effects. Internalized weight stigma is relevant across different weight categories, but no validated weight-neutral measure of internalized weight bias currently exists in Norway. The current study aimed to examine the validity of a Norwegian translation of the Modified Weight Bias Internalization Scale.MethodsA Norwegian translation of the Modified Weight Bias Internalization Scale (WBIS-M) was administered in an adult Norwegian sample (N = 315, of which 251 women) ranging from self-reported “very underweight” to “very overweight”.ResultsA confirmatory factor analysis was conducted on 11 of the original 11 items in the WBIS-M. Based on previous factor analyses with this scale, we expected a one-factor model. One of the items related to competence showed poor model fit, and concern was raised around possible item ambiguity partway through the study. Two versions of this item were therefore tested, neither of which yielded an acceptable fit. After exclusion of this item, the results showed high loadings for the remaining 10 items on one factor with a high internal consistency (α = 0.94). Convergent validity was approached by looking at the relationship between answers on the WBIS-M, self-perceived weight, and items on overall health and psychological/emotional state.ConclusionThe 10-item Norwegian version of the WBIS-M shows sound psychometric properties and can be used to measure internalized weight bias in a weight-neutral fashion in a Norwegian-speaking population. Internalized weight bias was correlated with psychological/emotional state and overall health, with those reporting more internalized weight bias also reporting that they felt worse. This relationship was stronger for women than men in our sample and was partially dependent on weight. The women also showed higher internalized weight bias than the men. Future studies should include more male participants and explore alternative versions of the missing item related to competence.

Discrimination and Stigma Associated with Obesity: A Comparative Study between Spain and Egypt – Data from the OBESTIGMA study

Introduction: This study explores the under-investigated area of obesity-related discrimination and stigmatization across different countries, specifically comparing Spain (Europe) and Egypt (Middle East). Methods: We conducted a cross-sectional observational study involving 2,090 participants from both countries. Participants completed three well-validated questionnaires to assess their attitudes toward obesity, experiences of weight-related stigma, and internalization of weight bias: Antifat Attitudes Scale (AFA), Stigmatizing Situations Inventory (SSI), and Weight Bias Internalization Scale (WBIS). Participants were categorized into four groups based on body mass index (BMI) and history bariatric surgery. Results: Egyptian participants (BMI = 30.2 ± 6.7 kg/m2 [range: 18.5–69.0 kg/m2]) showed significantly higher aversion toward obesity, as indicated by higher AFA score, compared to their Spanish counterparts (BMI = 35.4 ± 10.1 kg/m2 [18.5–71.9 kg/m2]). In contrast, Spanish participants reported higher levels of weight bias internalization with increasing BMI, while in Egypt, this association was negative. The association of bariatric surgery on stigma reduction also differed between the countries. Multivariate analysis revealed that residing in Egypt was an independent risk factor for higher scores in AFA and WBIS (odds ratio 8.20 [95% confidence interval: 6.78–9.62], p < 0.001 and odds ratio (OR) 6.28 [95% CI: 4.78–7.78], p < 0.001, respectively). In contrast, Spaniards experienced more stigmatizing situations than Egyptians (OR −2.54 [95% CI: 6.78–9.62], p < 0.001). Conclusion: Our study underscores the complex and diverse nature of obesity-related attitudes across cultures. Understanding these cultural differences is crucial for developing effective, culturally sensitive strategies to tackle weight stigma. This research opens avenues for further studies and interventions tailored to cultural contexts.

A length-free phase field model for epoxy adhesive materials based on modified Drucker–Prager criterion

Characterizing the cracking behavior of epoxy adhesive material is of great importance for composite structures. Recently, the phase field model has emerged as the preferred method for predicting the crack propagation. This paper presents a length-free phase field model considering the characteristics of epoxy adhesive materials. The proposed model is formulated within a framework that decomposes the phase field fracture driving force, ensuring that it adequately considers the tension/compression asymmetry of the epoxy adhesive materials. The effects of hydrostatic pressure, deviational stress, and friction are incorporated into the model by employing a modified Drucker-Prager failure criterion. The failure criterion is included in the phase field model using the effective stress invariants. Furthermore, the internal length scale, previously considered to lack real physical meaning, is reformulated based on material strength. This model addresses the challenge of measuring the internal length of epoxy materials. It serves as a valuable reference for applying phase field models to epoxy materials. The accuracy of the model is validated through an L-shaped plate simulation, and an attempt using the model to predict the crack development in thick epoxy adhesive joints is undertaken. Several representative samples are simulated, including three double cantilever beams with different configurations. The numerical results demonstrate a good correlation with experimental data, highlighting the potential of the model in simulating the crack propagation in epoxy adhesive joints.

A phase-field framework for modeling multiple cohesive fracture behaviors in laminated composite materials

This work proposes a phase-field (PF) framework to characterize the multiple fracture behaviors and quasi-brittle failure mechanisms in fiber reinforced laminated composites. The multi-phase field model considering the distinct failure mechanisms of composites is first derived based on thermodynamic principles. A hybrid PF formulation is proposed through the reasonable definition of the energy functional for each field, and a PF regularized cohesive zone model (CZM) combined with Hashin failure criteria is achieved for the typical failure modes in composites. The proposed PF-CZM is endowed with a linear softening behavior and is proven to be independent of the internal length scale parameter. The multiple fracture modeling of composite laminates is achieved by coupling the PF model for intralaminar failure with the cohesive interface element for interlaminar one. The model’s validation is demonstrated by several representative numerical examples, and results show that both the intralaminar fiber/matrix fractures and the induced interlaminar delamination, as well as their complex interactions, are well captured by the proposed model.

Cosserat constitutive theory and one of its higher-order forms: A rediscussion on the mesh dependence problem

When the finite element method (FEM) is adopted for studying strain localization problems, the mesh dependence phenomenon often ensues. The occurrence of mesh dependency will reduce the reliability of FEM simulations, so it is still worth studying. Herein, a constitutive model with decent mesh stability named the multiscale Cosserat (MC) model which contains higher-order rotation variables based on the conventional Cosserat (CC) theory, was introduced. The theory derivation indicates that the MC model has an extra internal length scale vector Dq that can consider the microscopic geometrical characteristics of the simulated material and can easily regress to the conventional Cosserat model when Dq = 0. After revisiting the mesh dependence problem through numerical simulations of plane strain compression tests, the mechanisms and advantages of the CC and MC models in solving the mesh dependence problem were discussed. The analysis demonstrated that the CC theory can alleviate the mesh dependence problem but cannot eliminate it; when the divergence of the computation occurs, due to a stricter accuracy requirement for convergence, the computation result of the MC model tends to stabilize along with the refinement of the elements. The mesh advantage of the MC model is influenced by both the length scales l and Dq. This study can provide new insight into understanding the mesh dependence problem, and the MC model introduced here is a potential model for comprehensively eliminating the influence of mesh dependence problems.

Social network effect on land transfer willingness of the rural elders: Evidence from China

The elders in China’s rural areas are facing challenges in maintaining agricultural production due to the outflow of rural laborers. The Transfer of land could alleviate the burden of land-based livelihoods for rural elders, but their decisions regarding land transfer are influenced by their social networks within the context of Chinese rural society. This study investigates how social networks impact the willingness of rural elders to transfer land. Using survey data from 782 rural elders in 32 villages across 11 provinces in China, this paper applies multilinear and binary logistic regression models. The results indicate that the willingness of rural elders to transfer land is affected by their social neteork: (1) Internal network scale, network heterogeneity, and frequency of external network relationships have a significantly positive influence on rural elders’ willingness to transfer land, while frequency of internal network relationships has a significantly negative influence. (2) There are group differences in the above impacts, and these significant impacts occur only among male elderly individuals aged 60–69 years old or living in central and western regions. (3) Social networks primarily influence rural elders’ willingness to transfer land through three mechanisms: information consultation, interpersonal trust, and material resource acquisition. A larger internal social network scale, higher heterogeneity within the network, and more frequent interactions with members of external networks lead to greater access to useful information, higher levels of trust in others, increased material resources availability, and an increased likelihood of transferring land. These findings can inform government policies aimed at improving practices related to land transfers and old age security for rural elders.

Strategic optimization: redesign of internal processes in international bulk companies

This research aims to redesign the surveillance and scale processes of an international bulk company, with the aim of streamlining and improving them. The DMAIC Methodology was systematically applied at each stage from a structured approach that improved and optimized existing internal processes, clearly establishing the problem and objectives of the redesign to subsequently collect and analyze necessary information, establishing key measurement metrics that evaluated the success of the redesign. Once the causes and areas for improvement were identified, solutions were developed and changes were implemented in the structure of the processes. The results obtained were the redesign of the company's internal surveillance and scale processes with optimized times of 44 and 77 minutes respectively, obtaining a difference of 25 to 33 minutes, allowing the company to carry out a total of 900 loads per month in 28 minutes. per unit load.

Experienced and internalized weight stigma among Spanish adolescents

Background and objectiveWeight stigma has negative consequences for both physiological and psychological health. Studies on weight stigma in adolescence, particularly from general populations, are scarce in the Mediterranean area. The main aim of this study is to describe the prevalence of experienced and internalized weight stigma among a representative sample of adolescents from the Spanish city of Terrassa, and to determine its association with sociodemographic variables and weight status.MethodsDrawing on data from the initial assessment of a longitudinally funded project on weight stigma in adolescents, a cross-sectional survey-based study was conducted using random multistage cluster sampling. Weight stigma experiences, their frequency and sources, and weight bias internalization with the Modified Weight Bias Internalization Scale (WBISM) were assessed in a sample of 1016 adolescents. Adjusted odds ratios (AOR) between sociodemographic variables, weight status and having experienced weight stigma, and having reported high scores of WBISM (WBISM ≥ 4) were estimated by multiple logistic regression models.ResultsThe prevalence of weight-related stigma experiences was 43.2% in the sample (81.8 in adolescents with obesity) and the prevalence of high levels of weight bias internalization was 19.4% (50.7 in adolescents with obesity). Other kids and school were the most prevalent sources of weight stigma, with society and family being other significant sources of stigma reported by girls. A significantly higher risk of having experienced weight stigma was observed in girls (AOR = 2.6) and in older adolescents (AOR = 1.9). Compared to normal weight adolescents, all weight statuses showed higher risk, being 3.4 times higher in adolescents with underweight and reaching 11.4 times higher risk in those with obesity. Regarding high levels of weight bias internalization, girls had a risk 6.6 times higher than boys. Once again, a “J-shaped” pattern was observed, with a higher risk at the lowest and highest weight statuses. The risk was 6.3 times higher in adolescents with underweight, and 13.1 times higher in adolescents with obesity compared to those with normal weight.ConclusionsConsidering the high prevalence of experienced and internalized weight stigma among adolescents in Spain, especially in adolescents with obesity and girls, it seems important to implement preventive strategies in different settings and address all sources of stigma.

A Hierarchical Nano to Micro Scale Modelling of 3D Printed Nano-Reinforced Polylactic Acid: Micropolar Modelling and Molecular Dynamics Simulation.

Fused deposition modelling (FDM) is an additive manufacturing technique widely used for rapid prototyping. This method facilitates the creation of parts with intricate geometries, making it suitable for advanced applications in fields such as tissue engineering, aerospace, and electronics. Despite its advantages, FDM often results in the formation of voids between the deposited filaments, which can compromise mechanical properties. However, in some cases, such as the design of scaffolds for bone regeneration, increased porosity can be advantageous as it allows for better permeability. On the other hand, the introduction of nano-additives into the FDM material enhances design flexibility and can significantly improve the mechanical properties. Therefore, modelling FDM-produced components involves complexities at two different scales: nanoscales and microscales. Material deformation is primarily influenced by atomic-scale phenomena, especially with nanoscopic constituents, whereas the distribution of nano-reinforcements and FDM-induced heterogeneities lies at the microscale. This work presents multiscale modelling that bridges the nano and microscales to predict the mechanical properties of FDM-manufactured components. At the nanoscale, molecular dynamic simulations unravel the atomistic intricacies that dictate the behaviour of the base material containing nanoscopic reinforcements. Simulations are conducted on polylactic acid (PLA) and PLA reinforced with silver nanoparticles, with the properties derived from MD simulations transferred to the microscale model. At the microscale, non-classical micropolar theory is utilised, which can account for materials' heterogeneity through internal scale parameters while avoiding direct discretization. The developed mechanical model offers a comprehensive framework for designing 3D-printed PLA nanocomposites with tailored mechanical properties.

Weight bias among Canadians: Associations with sociodemographics, BMI and body image constructs

This cross-sectional study examined the associations between sociodemographic characteristics, BMI, and body image constructs (body satisfaction and weight bias internalization; WBI) and explicit weight bias. A near-representative sample of 995 English-speaking Canadian adults (52% Female) completed a survey which assessed explicit weight bias (Anti-Fat Attitudes questionnaire), body satisfaction (Body Shape Satisfaction Scale), WBI (Modified Weight Bias Internalization Scale), and self-reported height and weight. Multiple linear regression analyses were run. Results showed that the variable that explained the most variance in explicit weight bias was WBI, followed by BMI. Higher levels of WBI and a lower BMI were both significantly associated with greater explicit weight bias. Male sex was associated with both disliking people with obesity and thinking obesity is attributable to lack of willpower, whereas female sex was associated with worrying about weight gain. The current findings emphasize the importance of future research efforts aimed at preventing or mitigating WBI to reduce negative attitudes about people with obesity.