Attribution Scale Research Articles

Evaluation Methods of General Requirements Courses and their Role in Improving Academic Performance and Graduate Attributes Among Taif University Students: Implications for Achieving SDG 4

Objectives: This study aims to investigate the impact of different evaluation methods on academic performance and graduate attributes among Taif University students. Theoretical Framework: The research aligns with the strategic goal of Taif University, represented by the Deanship of Ancillary Studies, to equip graduates with competitive attributes that meet labor market demands through enhanced academic performance. Method: Employing an analytical descriptive approach, the study utilized the Graduate Attribute Scale and analyzed the academic results of a randomly selected sample of 459 students. The participants’ performance in various general requirement courses was assessed across Levels One, Three, Five, Two, Four, and Six during the first semester. Results and Discussion: The findings indicated a significant improvement in students’ academic performance at Level Five compared to Levels One and Three. This improvement was attributed to the diversity in evaluation methods applied. Additionally, graduate attributes demonstrated notable enhancement at Level Six compared to Levels Two and Four, correlating with the varied evaluation strategies implemented in general requirements courses. The study suggests that diversifying assessment approaches can positively influence both academic performance and the development of graduate attributes. Research Implications: These results underscore the importance of implementing varied evaluation methods in university curricula to boost student capabilities and prepare them effectively for professional challenges. Originality/Value: The study contributes to the academic field by providing empirical evidence on the positive role of diverse evaluation methods in enhancing student performance and graduate attributes, offering insights for curriculum designers and policymakers at higher education institutions. This aligns with the Sustainable Development Goal (SDG) 4, which promotes quality education and lifelong learning opportunities for all.

Black identity and internal health attributions of second generation black immigrant women

ABSTRACT Objective Despite second generation Black immigrants being a rapidly growing population, they are often overlooked in health attribution research that treats Black populations as a monolithic group. Very few studies focus on how discrimination, societal pressure, and racial identity play a role in the health attributions of Black immigrant women. Even fewer studies have examined this relationship solely with second generation Black immigrant women. Research has shown, however, that increased racial and ethnic identity but decreased experiences with racism are related to higher internal health attributions in Black populations. Thus, we addressed this dearth in research in the current study by examining the relationship between racial centrality, racism stress, and internal health attributions in a sample of 123 second generation Black immigrant women. Design Health attributions were assessed using the Illness Attribution Scale, racism stress using the Schedule of Racist Events, and racial centrality using the Multidimensional Inventory of Black Identity. Multiple regression analyses were conducted to test the hypotheses that lower levels of racism stress, but higher ratings of racial centrality would relate to higher scores of internal health attributions. Results A positive relationship was found between racial centrality and internal health attributions but not racism stress. Conclusion The results indicated that stronger affirmations with Black identity are associated with a greater importance of the causes of illness to be within one’s perceived control for second generation Black immigrant women, which highlights the importance of examining wthin-group differences via collective identity measures to better explain health attribution behavioirs.

“Validation of three scales for enhanced suicide prevention in Spanish-speaking populations: Suicidal ideation, stigma, and literacy”

BackgroundEscalating suicide rates in Spain and Latin America underscore the critical need for accurate assessment and prevention tools tailored to these populations. This study aimed to culturally adapt and validate three essential scales: the Suicidal Ideation Attributes Scale (SIDAS), the Suicide Stigma Scale - Short Form (SOSS-SF), and the Suicide Literacy Scale - Short Form (LOSS-SF). MethodA total of 678 participants (including 150 with suicidal ideation) completed an online survey. The scales underwent rigorous back-translation and adaptation by native speakers from Spain and Latin America. SIDAS and SOSS-SF were validated using Confirmatory Factor Analysis (CFA), with criteria including fit indices (e.g., RMSEA, CFI). LOSS-SF underwent validation through Item Response Theory (IRT). Additionally, gender invariance was assessed across all scales. ResultsCFA confirmed the original factor structures of SIDAS and SOSS-SF, demonstrating good fit indices and internal consistency. The analysis of LOSS-SF required excluding two items, resulting in a final Spanish version with 10 items and an unifactorial structure. Gender invariance was established across all scales. ConclusionsThe culturally adapted and validated scales in this study demonstrate robust reliability and validity for assessing suicidal ideation, suicide stigma, and suicide literacy among Spanish-speaking populations. These validated tools have the potential to enhance clinical assessment, inform personalized interventions, monitor public health initiatives, educate communities about suicide, and advance research in suicide prevention and treatment.

Brief online suicide risk assessment of adults does not affect state mood, even in the context of elevated suicidality self-stigma, suicidal ideation and psychological distress.

The current study aimed to assess whether online suicide risk assessment affects state mood and is the first to examine if suicide-related self-stigma or coping related to suicidal ideation are predictors of mood change. The Australian participants (N = 661, Mage = 34.9, SD = 12.3, 57.1% female), recruited through a crowd-sourcing platform, completed a visual analogue mood measure before and after the Suicidal Ideation Attributes Scale (SIDAS), an assessment tool. Followed by a modified version of the Internalised Stigma Scale, the Brief COPE and DASS-21. State mood did not change from pre- to post-suicide risk assessment in the overall sample, t(662) = -.16, p = .868, d = -.01. Contrary to hypotheses, neither self-stigma nor coping were related to mood change following exposure to the SIDAS. The multiple regression model was not significant, F(9,643) = 1.16, p = .31., nor was any single predictor including gender, current Suicide risk β = -.04, t = -.80 or psychological distress β = -.09, t = -1.76, p = .08. These findings suggest that online exposure to a suicide risk tool is unlikely to be iatrogenic in relation to state mood, even in the context of elevated self-stigma, suicidal ideation and psychological distress.

Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation.

Designing new molecules is essential for drug discovery and material science. Recently, deep generative models that aim to model molecule distribution have made promising progress in narrowing down the chemical research space and generating high-fidelity molecules. However, current generative models only focus on modeling 2-D bonding graphs or 3-D geometries, which are two complementary descriptors for molecules. The lack of ability to jointly model them limits the improvement of generation quality and further downstream applications. In this article, we propose a joint 2-D and 3-D graph diffusion model (JODO) that generates geometric graphs representing complete molecules with atom types, formal charges, bond information, and 3-D coordinates. To capture the correlation between 2-D molecular graphs and 3-D geometries in the diffusion process, we develop a diffusion graph transformer (DGT) to parameterize the data prediction model that recovers the original data from noisy data. The DGT uses a relational attention mechanism that enhances the interaction between node and edge representations. This mechanism operates concurrently with the propagation and update of scalar attributes and geometric vectors. Our model can also be extended for inverse molecular design targeting single or multiple quantum properties. In our comprehensive evaluation pipeline for unconditional joint generation, the experimental results show that JODO remarkably outperforms the baselines on the QM9 and GEOM-Drugs datasets. Furthermore, our model excels in few-step fast sampling, as well as in inverse molecule design and molecular graph generation. Our code is provided in https://github.com/GRAPH-0/JODO.

Development and validation of the adolescent's entrepreneurial attributes inventory: A mixed-methods approach

This study introduces the Adolescent Entrepreneurial Attributes (AEA) scale, designed to measure key entrepreneurial attributes among adolescents within an educational context. Employing a mixed-methods approach, the research involved four distinct studies: a Delphi study to refine the measurement items, a survey of youth entrepreneurship course graduates to gather perceptions of entrepreneurial attributes, a psychometric assessment to test the reliability and validity of the AEA scale, and a SEM validation study to correlate the AEA with established measures of entrepreneurial self-efficacy and intention. The findings revealed that the AEA scale is a reliable and valid tool that captures a nested profile of adolescents' entrepreneurial attributes, including innovativeness, opportunity recognition, risk-taking propensity, proactiveness, vision-driven thinking, ethical thinking, and communication and collaboration. The scale's development contributes to the field by providing a nuanced understanding of adolescents' entrepreneurial attributes. The scale supports educational efforts to assess entrepreneurship education (EE) with aims to nurture adolescents' generic entrepreneurial attributes, differentiating from existing measurements of entrepreneurial self-efficacy, and entrepreneurial intentions to evaluate entrepreneurship education programs.

Viral Anxiety, Reassurance-Seeking Behavior, and Depression Mediate the Influence of Dysfunctional Self-Focus on Preoccupation With COVID-19 Among Infected Cases.

Amid the coronavirus disease 2019 (COVID-19) pandemic, the pervasive threat of infection has heightened public and individual health concerns. In the context of instability, although the dysfunctional aspect of self-focus was prominent, preoccupation with viral infection was greater. This study explored the applicability of a cognitive-behavioral model of hypochondriasis to individuals infected with COVID-19 and assessed whether dysfunctional self-focus were associated with the development of preoccupation. An anonymous online survey was conducted via a professional survey platform in December 2022. Participants' clinical characteristics and responses to rating scales were collected, including Obsession with COVID-19 Scale (OCS), Coronavirus Reassurance-Seeking Behaviors Scale (CRBS), Stress and Anxiety to Viral Epidemic-6 items (SAVE-6), Patient Health Questionnaire-2 items (PHQ-2), and Dysfunctional Self-focus Attributes Scale (DSAS). Among the 265 participants, preoccupation with COVID-19 was predicted using CRBS (β=0.60, p<0.001), SAVE-6 (β=0.20, p=0.007), and PHQ-2 (β=0.13, p<0.001) scores. Mediation analysis revealed that viral anxiety influenced this COVID-19 preoccupation, with the relationship mediated by coronavirus reassurance-seeking behavior. Another analysis indicated that dysfunctional self-focus had a significant total effect on preoccupation with COVID-19. However, its direct impact was statistically insignificant, with the association primarily influenced by three mediating factors: viral anxiety, depression, and reassurance-seeking behavior. Preoccupation with coronavirus is influenced by viral anxiety, depression, and reassurance-seeking behavior. Two mediation analyses showed that the application of the cognitive-behavioral model of hypochondriasis is feasible among COVID-19-infected cases and the association of dysfunctional self-focus with mediating factors. This finding highlights the need for personalized psychological support in managing COVID-19 cases.

Savižudiškų minčių intensyvumo skalė (SIDAS) ir Savižudiško elgesio klausimynas – patikslintas (SBQ-R): lietuviškų versijų psichometriniai rodikliai

The Suicidal Ideation Attributes Scale (SIDAS) and the Suicidal Behaviors Questionnaire-Revised (SBQ-R) are widely used psychological instruments for assessing people‘s suicidal ideation and suicidal behavior. The aim of this study was to examine the psychometric characteristics of the Lithuanian versions of the SIDAS and SBQ-R. We analysed data collected from four samples: a Lithuanian general population quota sample based on age, gender and place of residence (N = 697, 52.9% women, aged 18–79 years); a sample of students (N = 2013, 72 % women, aged 18–29 years); a clinical sample of suicidal patients (N = 35, 77.1% women, aged 18–59 years); and a test-retest sample of students who completed the instruments twice within a two-week period (N = 54, 70.4% women, aged 18–47 years). The participants answered questions on gender, and age and completed the SIDAS and SBQ-R. The data analysis revealed that the Lithuanian versions of the SIDAS and SBQ-R have good internal consistency, temporal stability, construct, convergent, and criterion validity. The Lithuanian versions of the SIDAS and SBQ-R can be used to measure suicidality in research settings, as well as in clinical work as auxiliary tools.

The Global Burden of Chronic Obstructive Pulmonary Disease: Exploring the Social and Psychological Dimensions

Millions worldwide suffer from chronic obstructive pulmonary disease (COPD), a progressive and debilitating respiratory condition. Beyond its physical symptoms, COPD has significant social and psychological repercussions. This research examines the connections between smoking, depression, suicidal ideation, and the quality of life (QOL) in COPD patients. By analyzing these variables, we aim to enhance the understanding of the challenges faced by individuals with COPD and inform healthcare strategies and public policy. Using a purposive sampling technique, the study employed the PHQ-9 (Patient Health Questionnaire-9), Suicidal Ideation Attribute Scale, and WHOQOL-BREF (World Health Organization Quality of Life-BREF) to collect data. The results revealed a significant negative correlation between depression and quality of life (r = -.475**). Smoking was positively correlated with the severity of COPD as diagnosed by doctors (r = .542**). A longer duration of COPD was associated with a lower quality of life (r = -.268*). The study also found that males (m = 23.15, Sd = 9.5) exhibited a higher prevalence of suicidal ideation compared to females (t = 3.38, p = .001, m = 16.06, Sd = 9.26). Additionally, the age of individuals with COPD positively correlated with disease severity (r = .268) and duration of illness (r = .457**). These findings highlight the need for comprehensive healthcare approaches addressing both the physical and psychosocial dimensions of COPD, guiding public policy and healthcare regulations to better support affected individuals.

Material energy citizenship through participation in citizen-financed photovoltaic projects

BackgroundCitizens are recognized as key actors in the energy system’s transformation by assuming novel roles beyond being mere energy consumers. Participation in renewable energy projects increases societal support and renders the decarbonization of the energy system more inclusive. Increasing numbers of citizen-financed photovoltaic (CiFi PV) projects exemplify this. Empirical studies on individuals who participate in CiFi PV, their perceived role(s), and their motivations, however, are scarce. This study addresses this gap through the lens of energy citizenship by analyzing individual participation.MethodsThe study surveyed CiFi PV participants across five projects in Switzerland (N = 510). After a comparison of the participants’ characteristics to the general public and a descriptive analysis of the perceived roles to participate, the study explores the individual motivations of participants. To that end, a motivational attributes scale, including finance, environment, local value creation, and symbolism, was adapted from a previous study. A hierarchical multiple linear regression was used to analyze which motivational attributes predict participants’ willingness to participate in future CiFi PV projects.ResultsWhile participants were primarily male, more affluent, better educated and politically more left-leaning than the average Swiss population, participants covered a wide range of sociodemographic characteristics and worldviews. Though CiFi PV is primarily marketed toward tenants, half of the participants were homeowners. Participants perceived themselves as energy citizens contributing to the energy transition and environmental preservation rather than as investors or energy producers. The regression analysis shows that motivations are relevant in explaining willingness to participate in future CiFi PV projects. We found that environmental, financial and local value creation-related motivational attributes are highly significant predictors, as well as slightly less significant symbolic attributes.ConclusionsThese results suggest that CiFi PV projects represent a material form of energy citizenship going beyond mere consumerism by enabling individuals to contribute to the energy transition. Given their capacity to engage diverse publics, policymakers should endorse projects emphasizing individual participation alongside non-commercial community-based models. This would require their integration into existing regulatory frameworks. Future energy citizenship studies should further explore how individuals perceive and conceptualize what it means to be an energy citizen.

Towards accessible robot-assisted physical play for children with physical disabilities

Abstract MyJay is an open-source robot designed to facilitate play between children with and without physical disabilities. The robot acts as a proxy for children with upper limb challenges, allowing them to participate in physical games with their peers. Our design was inspired by the FIRST Robotics Competition, which involves teleoperating robots to manipulate objects. Taking a user-centred perspective, we consulted therapists and conducted remote interviews with children with disabilities and their guardians at various stages of the design process. We then conducted an in-person feasibility study with 18 typically developing children in a school setting. The study involved children teleoperating the robot to pick up and throw balls into a designated goal, and the interaction was evaluated using the user experience questionnaire and the Robotic Social Attributes Scale. The results of the study show great potential for MyJay to act as a play mediator in various scenarios, and the response from the children was positive. The ultimate aim of our research agenda is to pave the way towards creating more inclusive play environments through robot-mediated interactions, breaking barriers posed by physical limitations.

Suicide and depressive symptoms possible correlates among a sample of Egyptian physicians: observational cross-sectional study (online survey)

BackgroundCompared to other occupations, physicians are more susceptible to depression and suicide. Suicide among physicians in some countries reached up to 1.5- to threefold higher than the general population. However, this rate was not homogenous in all countries. Most of the Egyptian studies were related to the stressful pandemic event, but the actual prevalence of depression among physicians is still under research. To the best of the researcher's knowledge, no other study has been conducted to evaluate the risk of suicide among Egyptian physicians.AimThe study aimed to screen for depressive symptoms and suicide among Egyptian physicians and to investigate the correlates associated with suicide ideations.MethodsThis cross-sectional survey included Egyptian physicians recruited online by Google Forms. Depressive symptoms were screened using the Beck Depression Scale (BDI-II), while suicidal ideas were assessed using the Suicidal Ideation Attributes Scale (SIDAS). ResultsSix hundred sixty Egyptian physicians completed the survey following a two-week pilot study between January 10 and July 16, 2023. The average age was 39.1 years, and 71.4% were married. 49.1% were medical specialists. The median daily working hours were eight, and 27.7% of the physicians attended night shifts. 22.3% had a psychiatric illness, and 34.3% had a chronic disease. Younger and single physicians of both sexes were more prone to suicide risk (p-value = 0.019 and 0.021, respectively). Those with psychiatric or chronic medical disorders had a higher suicidal risk (p-values < 0.001 and 0.004, respectively). Physicians with fewer academic degrees and those who work longer hours or night shifts had more depressive symptoms (p-values < 0.001 and 0.009, respectively). The risk of depression and suicide is almost the same in all medical specialties. The SIDAS suicide score and the Beck depression score revealed a statistically significant association (r = 0.288, p-value < 0.001).ConclusionSuicide risk is higher among younger, single physicians of both sexes, as well as those with psychiatric or chronic medical disorders. More depressive symptoms are seen in physicians who have more extended hours or night shifts and who have fewer academic degrees. Almost all medical specialties carry the same risk of depression and suicide. Longitudinal research is recommended for regular follow-up of suicidal thoughts and depressive symptoms.

Dysfunctional Self-Focus and Fear of Progression in Cancer Patients Mediated by Depression, Anxiety, and Dysfunctional Sleep Beliefs.

This study explores whether cancer patients' dysfunctional self-focus is a significant contributor to their fear of progression. In addition, we investigated whether their psychiatric symptoms such as depression, anxiety, and dysfunctional beliefs about sleep may mediate the relationship between these factors. We conducted a retrospective medical records review of 196 cancer patients who visited the Stress Management Clinic for the first time from March to September 2022. Their demographic information and responses to rating scales such as the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Dysfunctional Self-focus Attribution Scale (DSAS), Patient Health Questionnaire-9 Items (PHQ-9), State subcategory of the State and Trait of Anxiety Inventory (STAI-S), Insomnia Severity Index (ISI), Cancer-related Dysfunctional Beliefs about Sleep scale (C-DBS), and numeric rating scales of pain and fatigue were collected. A high FoP-Q-SF score was significantly correlated with high PHQ-9 (r=0.60), STAI-S (r=0.38), ISI (r=0.34), C-DBS (r=0.47), pain (r=0.24), fatigue (r=0.37), and DSAS (r=0.58, all p<0.001). A linear regression analysis showed that the FoP-Q-SF score was significantly predicted by younger age (β=-0.13, p=0.011), PHQ-9 (β=0.36, p<0.001), STAI-S (β=0.18, p=0.001), C-DBS (β=0.22, p<0.001), and DSAS (β=0.25, p<0.001). A mediation analysis showed that dysfunctional self-focus directly influenced patients' fear of progression. In addition, cancer patients' depression, anxiety, and cancer-related dysfunctional beliefs about sleep mediated this relationship. We observed that dysfunctional self-focus may influence cancer patients' fear of progression, mediated by depression, anxiety, and cancer-related dysfunctional beliefs about sleep.

Self-harm in sexually abused adolescents: The role of posttraumatic symptoms, emotional impulsivity, and negative cognition.

Posttraumatic symptoms, emotional impulsivity, and negative cognition have been proposed as pathways in explaining why individuals have experienced trauma are at increased risk for self-harm. The present study examined whether emotional impulsivity (i.e., negative and positive urgency) and negative cognition (i.e., personal attribution and feeling different from peers) mediate the path from posttraumatic symptoms to self-harm in sexually abused adolescents, a population at the highest risk for self-harm. One hundred and thirty-one sexually abused youths aged 10-18 years in South Korea completed the Self-Harm Inventory, UPPS-P (urgency-premeditation-perseverance-sensation seeking-positive urgency) Impulsive Behaviors Scales for use with children, and Children's Attribution and Perception Scale, and their parents completed the Korean version of the parent report of posttraumatic symptoms. Among the adolescent participants, 77.1% (n = 101) reported engaging in at least one self-harm behavior, and 61.8% (n = 81) reported engaging in deliberate self-injury. Mediation model analyses showed that parent-reported posttraumatic symptoms predicted more self-harm behaviors among sexually abused adolescents. The indirect effect of parent-reported posttraumatic symptoms on self-harm through adolescents' negative cognition was significant, but the indirect effect through emotional impulsivity was not. The results indicate that, at least among sexually abused adolescents, posttraumatic symptoms lead to self-harm via negative cognition rather than increased emotional impulsivity. These findings suggest that sexually abused adolescents suffering from posttraumatic symptoms are more likely to engage in self-harm in response to negative cognition of themselves and the world rather than as an impulsive response to intense emotions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A similarity-based assortativity measure for complex networks

Abstract There are several metrics that have been proposed to quantify the tendency of nodes to link with similar nodes in complex networks. Among them, the assortativity coefficient put forth by M.E.J. Newman has been successfully used in many cases with either categorical or scalar attributes of network nodes. Unfortunately, the assortativity coefficient cannot deal with vectorial attributes. Furthermore, we show that, in certain cases, it may not be able to capture the similarity of neighbors. In this work, we introduce a new metric that, without being much more complex to calculate, solves those problems. Moreover, we show that the proposed metric includes the categorical assortativity coefficient as a particular case. We also study the behavior of the new metric with a few illustrative real-world examples.

Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques.

Dataset scaling, a.k.a. normalization, is an essential preprocessing step in a machine learning (ML) pipeline. It aims to adjust the scale of attributes in a way that they all vary within the same range. This transformation is known to improve the performance of classification models. Still, there are several scaling techniques (STs) to choose from, and no ST is guaranteed to be the best for a dataset regardless of the classifier chosen. It is thus a problem-and classifier-dependent decision. Furthermore, there can be a huge difference in performance when selecting the wrong technique; hence, it should not be neglected. That said, the trial-and-error process of finding the most suitable technique for a particular dataset can be unfeasible. As an alternative, we propose the Meta-scaler, which uses meta-learning (MtL) to build meta-models to automatically select the best ST for a given dataset and classification algorithm. The meta-models learn to represent the relationship between meta-features extracted from the datasets and the performance of specific classification algorithms on these datasets when scaled with different techniques. Our experiments using 12 base classifiers, 300 datasets, and five STs demonstrate the feasibility and effectiveness of the approach. When using the ST selected by the Meta-scaler for each dataset, 10 of 12 base models tested achieved statistically significantly better classification performance than any fixed choice of a single ST. The Meta-scaler also outperforms state-of-the-art MtL approaches for ST selection. The source code, data, and results from the experiments in this article are available at a GitHub repository (http://github.com/amorimlb/meta_scaler).

Loneliness during the COVID-19 Pandemic in Patients with Burning Mouth Syndrome: A Multicentric Case-Control Italian Study

Background. Lockdown restrictions during the COVID-19 pandemic exerted a strong impact on people’s quality of life and increased loneliness. This study evaluates the effect of the pandemic on loneliness in patients with burning mouth syndrome (BMS) compared with the general population. Methods. 100 BMS patients versus 100 healthy controls (HC) were recruited in five Italian centers. The 12-Item General Health Questionnaire (GHQ-12), the Depression Anxiety Stress Scales-21 (DASS-21), the Insomnia Severity Index (ISI), the short-form UCLA Loneliness Scale-8 (ULS-8), the Multidimensional Scale of Perceived Social Support (MSPSS), and the Suicidal Ideation Attribute Scale (SIDAS) were administered. Results. BMS patients and HC showed high scores (16 [14-20.25] and 16 [14-18]) in the ULS-8. Statistically significant differences have been found considering the BMS patients lived with fewer relatives during the lockdown compared with the HC (2 [2-3] and 3 [2-4]; p : 0.012) with a lower level of satisfaction in relationships with relatives (4 [1.75-5] and 5 [4-5]; p &lt; 0.001 ) and also in the DASS-21 total scores between the BMS patients and HC (16 [10-24.2] and 10 [4-17]; p &lt; 0.001 ). The multivariate logistic regression revealed that age, education, DASS-21, and MSPSS were the most predictive variables and could explain 34.68% of the variance in the ULS-8 score ( p &lt; 0.001 ) in the BMS group. However, only the DASS-21 was significant in the HC group, explaining 10.11% of the variance of the ULS-8 ( p : 0.033). Conclusions. Both the patients and controls experienced deep loneliness during the pandemic. However, in the BMS group, loneliness was significantly correlated with age, a higher level of education and stress, and a lower level of satisfaction in relationships with relatives and social support perceived compared with the controls.

Assessing the Allometric Scaling of Vectorized Branch Lengths of Trees with Terrestrial Laser Scanning and Quantitative Structure Modeling: A Case Study in Guyana

Allometric scaling is closely related to the morphology, function and behavior of trees, which are of great significance to the study of ecology. However, most of the traditional allometric scaling studies used the scalar attributes of trees, without considering the 3D vector mode of tree growth. In order to investigate the allometric relationships between branch lengths in 3D vector mode, in this study, an accurate and detailed quantitative structure model was used to reconstruct tree architectures from 3D point cloud data collected by terrestrial laser scanning and extract the structural parameters of each branch (length, branching level and zenith angle). The standardized major axis was used to establish and analyze the scalar and vector allometric relationships between branch lengths. Our results show that at the same branching level and using the same allometric model, the scaling exponents between the lengths of branches and the lengths of cumulative child (descendant) branches (no matter whether the lengths are in scalar or vector form) are similar among trees, and there is no significant difference between the scaling exponents of most trees. And the scaling exponents between the lengths of the horizontal components of branches and the cumulative lengths of the horizontal components of the child (descendant) branches are much larger than those between the lengths of the vertical components of branches and the cumulative lengths of vertical components of the child (descendant) branches. At different branching levels, the scaling exponents between the lengths of branches and the cumulative lengths of descendant branches tend to decrease with the increase in the branching level. The allometric models in terms of the cumulative lengths of horizontal components of the child (descendant) branches and the allometric models in terms of the cumulative lengths of child (descendant) branches have similar model accuracy and scaling exponents. The study results of allometric relationships between tree branch lengths in 3D mode are of great importance for understanding the crown morphology and the branching rule, which is helpful to further understand the growth strategies and adaptation mechanisms of trees and explain the growth and development mechanisms of trees from a physiological perspective.

OR31-04 Testosterone Therapy On Gender Dysphoria, Depression, And Suicidality In Transgender And Gender Diverse Individuals Seeking Masculinisation: A Randomised Controlled Trial

Abstract Disclosure: B.J. Nolan: None. S. Zwickl: None. J.D. Zajac: None. A.S. Cheung: None. Background: Testosterone treatment is a necessary component of management for some transgender (trans) and gender diverse individuals. Observational studies have demonstrated improvements in gender dysphoria and depression following commencement of gender-affirming hormone therapy but there is a lack of randomised controlled trial data. Objectives: To assess the impact of testosterone therapy compared to no treatment on gender dysphoria, depression, and suicidality in trans people seeking masculinisation. Methods: Three-month open-label randomised controlled trial of 64 trans individuals seeking initiation of testosterone therapy comparing immediate testosterone commencement (intervention group) with no treatment (standard care waiting list of 3 months prior to commencement). This design ensured no individuals would be waiting longer than standard care. Primary outcome was gender dysphoria, as measured by the Gender Preoccupation and Stability Questionnaire (GPSQ). Secondary outcomes included the Patient Health Questionnaire-9 (PHQ-9) to assess depression and the Suicidal Ideation Attributes Scale (SIDAS) to assess suicidality. Questionnaires were undertaken at 0 and 3 months. ANCOVA was used to compare mean differences between groups. Results: Compared to standard care, the intervention group had a decrease in gender dysphoria [mean difference -7.2 points (95% CI (-8.3, -6.1), p&amp;lt;0.001], a clinically significant decrease in PHQ-9 [mean difference -5.6 points (-6.8, -4.4), p&amp;lt;0.001], and a decrease in SIDAS [mean difference -6.5 points (-8.2, -4.8), p&amp;lt;0.001]. Resolution of suicidality assessed by PHQ-9 item 9 occurred in 11 (52%) individuals with immediate testosterone commencement compared to 1 (5%) in standard care (p=0.002). Conclusions: This randomised controlled trial supports the use of testosterone therapy to significantly reduce gender dysphoria, depression, and suicidality in trans and gender diverse individuals desiring testosterone therapy. Presentation: Sunday, June 18, 2023

Early Access to Testosterone Therapy in Transgender and Gender-Diverse Adults Seeking Masculinization

Testosterone treatment is a necessary component of care for some transgender and gender-diverse individuals. Observational studies have reported associations between commencement of gender-affirming hormone therapy and improvements in gender dysphoria and depression, but there is a lack of data from randomized clinical trials. To assess the effect of testosterone therapy compared with no treatment on gender dysphoria, depression, and suicidality in transgender and gender-diverse adults seeking masculinization. A 3-month open-label randomized clinical trial was conducted at endocrinology outpatient clinics and primary care clinics specializing in transgender and gender-diverse health in Melbourne, Australia, from November 1, 2021, to July 22, 2022. Participants included transgender and gender-diverse adults aged 18 to 70 years seeking initiation of testosterone therapy. Immediate initiation of testosterone commencement (intervention group) or no treatment (standard care waiting list of 3 months before commencement). This design ensured no individuals would be waiting longer than the time to standard care. The primary outcome was gender dysphoria, as measured by the Gender Preoccupation and Stability Questionnaire. Secondary outcomes included the Patient Health Questionnaire-9 (PHQ-9) to assess depression and the Suicidal Ideation Attributes Scale (SIDAS) to assess suicidality. Questionnaires were undertaken at 0 and 3 months. The evaluable cohort was analyzed. Sixty-four transgender and gender-diverse adults (median [IQR] age, 22.5 [20-27] years) were randomized. Compared with standard care, the intervention group had a decrease in gender dysphoria (mean difference, -7.2 points; 95% CI, -8.3 to -6.1 points; P < .001), a clinically significant decrease in depression (ie, change in score of 5 points on PHQ-9; mean difference, -5.6 points; 95% CI, -6.8 to -4.4 points; P < .001), and a significant decrease in suicidality (mean difference in SIDAS score, -6.5 points; 95% CI, -8.2 to -4.8 points; P < .001). Resolution of suicidality assessed by PHQ-9 item 9 occurred in 11 individuals (52%) with immediate testosterone commencement compared with 1 (5%) receiving standard care (P = .002). Seven individuals reported injection site pain/discomfort and 1 individual reported a transient headache 24 hours following intramuscular administration of testosterone undecanoate. No individual developed polycythemia. In this open-label randomized clinical trial of testosterone therapy in transgender and gender-diverse adults, immediate testosterone compared with no treatment significantly reduced gender dysphoria, depression, and suicidality in transgender and gender-diverse individuals desiring testosterone therapy. ANZCTR Identifier: ACTRN1262100016864.