Research Programming Research Articles

An Early Career Perspective on the Value of Interdisciplinary Training Networks

As a global society, we face various challenges that threaten economic, social, and ecological stability and security. Tackling complex global challenges, such as antimicrobial resistance (AMR) and climate change, requires collaboration and the integration of diverse perspectives from across the full spectrum of disciplinary approaches. This requires an increasing number of effective interdisciplinary researchers. In this reflective article, I present a case study narrative based on my own experience to examine how my interactions with an interdisciplinary training scheme (the Medical Research Foundation’s National PhD Training Programme in Antimicrobial Resistance Research (MRF-PhD-AMR Programme)) helped me develop as an interdisciplinary early career researcher. I describe three key interactions I had with the MRF-PhD-AMR Programme during and after my doctoral studies, and how these interactions offered me different opportunities to develop the capacity to effectively navigate interdisciplinary spaces. My reflections help highlight the importance of supporting doctoral and postdoctoral researchers in engaging in training opportunities that cross disciplinary boundaries, to enable them to become more effective interdisciplinary researchers. Funding Acknowledgment My doctoral research exploring antimicrobial usage in UK livestock farming was funded by the Economic and Social Research Council [grant number ES/J500148/1]. My attendance at MRF-PhD-AMR Programme events was funded by the Medical Research Foundation [grant number MRF-145-0004-TPG-AVISO]. At the time of writing, I am employed as a Knowledge Exchange Fellow on the ACCESS (Advancing Capacity for Climate and Environment Social Science) project, which is funded by the Economic and Social Research Council [grant number ES/W00805X/1].

ЯППИ – универсальный язык программирования миссий АНПА

This article proposes a universal language for developing autonomous underwater vehicle (AUV) missions. The main features of the proposed language are: the presence of high-level commands to describe the main tasks of underwater research, the use of commands in Russian, the readability of the created missions and their understandability for personnel involved in the use of underwater robotics, the lack of strict typing and parameterization of commands, the possibility of expanding the language by creating new commands based on the old ones. The article describes the main parameters of the language, syntax, semantics and basic commands, as well as language tools - a parameter refinement module, which interactively allows you to resolve uncertainty arising due to non-strict parameterization, low-level command module that implements more complex commands based on basic ones, a language extension module responsible for adding new commands, and a translator. The language translator allows you to translate created missions into task program codes for various AUVs. The created language is called URPL – Underwater Research Programming Language and at the current stage of research it is being tested and debugged on the AUVs of the IPMT FEB RAS, taking into account the experience accumulated at the institute.

Mentorship in health research institutions in Africa: A systematic review of approaches, benefits, successes, gaps and challenges.

In Africa, where the burden of diseases is disproportionately high, significant challenges arise from a shortage of skilled researchers, lack of research funding, and limited mentorship opportunities. The continent faces a substantial gap in research output largely attributed to the dearth of mentorship opportunities for early career researchers. To explore existing mentorship approaches, identify challenges, gaps, successes, and benefits, and provide insights for strengthening mentorship programs in African health research institutions. We registered the review protocol on the International Prospective Register of Systematic Reviews [CRD42021285018] and searched six electronic databases-EMBASE, AJOL, Web of Science, PubMed, DOAJ, and JSTOR from inception to 10 November 2023, for studies published in English reporting on approaches of mentorship in health research in African countries. We also searched grey literature repositories, institutional websites, and reference lists of included studies for additional literature. Two independent reviewers conducted screening of titles and abstracts of identified studies, full-text screening, assessment of methodological quality, and data extraction. We assessed study quality against the Mixed Methods Appraisal Tool (MMAT). We resolved any disagreements through discussion and consensus. We employed a narrative approach to synthesize the findings. We retrieved 1799 articles and after screening, included 21 studies in the review. The reviewers identified 20 mentorship programs for health researchers (N = 1198) in 12 African countries mostly focusing on early-career researchers and junior faculty members. A few included mid-career and senior researchers. We categorized the programs under three key mentoring approaches: international collaborative programs, regional and in-country collaborations, and specialized capacity-building initiatives. Our review highlighted the following successes and benefits of health research mentorship programs: the establishment of collaborations and partnerships, development of research programs and capacities, improvement of individual skills and confidence, increased publications, and successful grant applications. The gaps identified were limited funding, lack of a mentorship culture, negative attitudes towards research careers, and lack of prioritization of research mentorship. Our review highlights a diverse landscape of health research mentorship aspects predominantly targeting early career researchers and heavily driven by the North. There is a need for locally driven mentorship initiatives in Africa to strengthen mentorship to advance health research in the region. PROSPERO registration number: CRD42021285018.

(Invited) Resonant Exciton Transfer in Mixed-Dimensional Heterostructures for Overcoming Dimensional Restrictions in Optical Processes

Nanomaterials exhibit unique optical phenomena, in particular excitonic quantum processes occurring at room temperature. The low dimensionality, however, imposes strict requirements for conventional optical excitation, and an approach for bypassing such restrictions is desirable. Here we report on exciton transfer in carbon-nanotube/tungsten-diselenide heterostructures, where band alignment can be systematically varied. The mixed-dimensional heterostructures display a pronounced exciton reservoir effect where the longer-lifetime excitons within the two-dimensional semiconductor are funneled into carbon nanotubes through diffusion. This new excitation pathway presents several advantages, including larger absorption areas, broadband spectral response, and polarization-independent efficiency. When band alignment is resonant, we observe substantially more efficient excitation via tungsten diselenide compared to direct excitation of the nanotube. We further demonstrate simultaneous bright emission from an array of carbon nanotubes with varied chiralities and orientations. Our findings show the potential of mixed-dimensional heterostructures and band alignment engineering for energy harvesting and quantum applications through exciton manipulation.Parts of this study are supported by JSPS (KAKENHI JP22K14624, JP22K14625, JP21K14484, JP22F22350, JP22K14623, JP21H05233, JP23H00262, JP20H02558) and MEXT (ARIM JPMXP1222UT1135). Y.R.C. is supported by JSPS (International Research Fellow). N.F. and C.F.F. are supported by RIKEN Special Postdoctoral Researcher Program. We thank the Advanced Manufacturing Support Team at RIKEN for technical assistance.[1] N. Fang, D. Yamashita, S. Fujii, M. Maruyama, Y. Gao, Y. R. Chang, C. F. Fong, K. Otsuka, K. Nagashio, S. Okada, Y. K. Kato, "Resonant exciton transfer in mixed-dimensional heterostructures for overcoming dimensional restrictions in optical processes," Nature Commun., accepted (2023). Preprint at arXiv:2307.07124.

We’re all just looking at the stars; how behavioral economics helps us understand the barriers to education programming in Tanzania

PurposeWe’re all just looking at the stars; how behavioral economics helps us understand the barriers to education programming in Tanzania.Design/methodology/approachThis article uses a qualitative approach to explore the behaviorally normed barriers to quality classroom instruction that contribute towards low learning outcomes. Themed text analysis was applied to qualitative secondary data from seventeen classroom observations and teacher interviews collected from low-performing schools in rural Tanzania.FindingsIt was found that teachers in poor-performing schools in Tanzania were focused on the delivery of curriculum and pedagogy, with a misplaced belief that their pupils were performing adequately. The study found no evidence of teacher resistance to change; instead, the teachers were content and often happy to implement the reading program, believing that teaching phonics-based instruction improved their teaching approach. Teachers sought confirmation of their quality instructional practice from convenient yet inaccurate sources that did not include effective pupil assessment.Research limitations/implicationsAs a result of the chosen research approach, findings may lack generalizability.Practical implicationsWhile existing models of teacher change rely on logic and reason for decision-making, this paper provides evidence that teacher models of change are much more complex and irrational, aligned more closely with insights from behavioral economics (BE). Additionally, this paper justifies that traditional research frameworks that study what works provide an incomplete picture to support effective program improvement.Originality/valueThe application of behavioral economics to research and education programming focused on reducing the restraining forces rather than pushing incentives and other program components.

Characteristics of the researchers categorized in the National Incentive Program for Researchers of Paraguay

Characteristics of the researchers categorized in the National Incentive Program for Researchers of Paraguay

Identifying the Bottleneck Unit: Impact of Congestion Spillover in Hospital Inpatient Unit Network

Because a hospital is an interconnected, interdependent network of care units, allocating resources—beds, nurses, and improvement initiatives—to one unit to reduce its congestion may have spillover effects on other units. If such congestion spillover is substantial, ignoring it may lead to unintended consequences and missed opportunities. We use data collected over five years from a hospital with 16 inpatient units to empirically examine whether and how much congestion propagates through the network of inpatient units. Our estimation result suggests that the magnitude of the congestion spillover is indeed substantial in our study hospital. For example, increasing one inpatient unit’s utilization by 10 percentage points today can increase its neighboring inpatient unit’s utilization by up to 4.33 percentage points tomorrow. Using counterfactual analyses, we estimate the effect of adding a bed to each unit. We find that due to congestion spillover, adding one bed to the bottleneck unit can free up 4.14 beds in the hospital, which translates to 383.53 more hospital visits per year or a 3% increase in hospital throughput. This effect is about three times bigger in magnitude compared with what one can achieve by naively choosing which unit to add a bed to. Hospitals and other manufacturing and service systems with complex interdependence across resources can use our empirical framework to examine the spillover effect of resources on performance metrics and leverage such understanding to effectively improve their operations. This paper was accepted by Vishal Gaur, operations management. Funding: This work was supported by the Creative-Pioneering Researchers Program through Seoul National University. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4887 .

Information relations for social change: exploring the information behaviour of academics undertaking impact work

Introduction. This paper examines academics’ information behaviour in undertaking research for societal impact. It explores how researcher-stakeholder relationships provide sites of information exchange where academics develop skills and knowledge needed to undertake impact work. Method. This qualitative study involved semi-structured interviews with 27 academics at 18 institutions across Australia. Participants were recruited across disciplines and at various career stages. Analysis. Constructivist grounded theory was used as a methodology, with Fiske's Relational Models Theory as a framework for analysis. Results. Results show that information behaviours relating to impact work were enacted within relationships with industry, community, and government partners. These relationships were characterised by four elements: curiosity, reciprocity, trust, and engagement. Conclusion. The paper presents a model of Relational-Informational Impact Practice to guide individual researchers’ information behaviours and to inform university support programs for researchers engaged in societal impact work. The model outlines the interplay between curiosity, reciprocity, trust, and engagement, and impact-relevant information behaviours, such as information needs identification, sharing practices, and serendipity.

Effectiveness of ferritin-guided donation intervals in whole-blood donors in the Netherlands (FIND'EM): a stepped-wedge cluster-randomised trial

Whole-blood donors are at increased risk for iron deficiency and anaemia. The current standard of haemoglobin monitoring is insufficient to ensure the maintenance of proper iron reserves and donor health. We aimed to determine the effects of ferritin-guided donation intervals for blood donor health and blood supply in the Netherlands. In this stepped-wedge cluster-randomised trial (FIND'EM), the 138 fixed and mobile donation centres in the Netherlands are organised into 29 geographical clusters and the clusters were randomly assigned to four treatment groups, with two groups being further split into two per a protocol amendment. Eligible donors were whole-blood donors who consented for use of their leftover material in the study. Each group was sequentially crossed over from the existing policy (haemoglobin-based screening; control) to a ferritin-guided donation interval policy over a 3-year period. In the intervention groups, in addition to the existing haemoglobin screening, ferritin was measured in all new donors and at every fifth donation in repeat donors. Subsequent donation intervals were extended to 6 months if ferritin concentrations were 15-30 ng/mL and to 12 months if they were less than 15 ng/mL. Outcomes were measured cross-sectionally across all donation centres at four timepoints. Primary outcomes were ferritin and haemoglobin concentrations, iron deficiency, and haemoglobin-based deferrals. We assessed all outcomes by sex and menopausal status and significance for primary outcomes was indicated by a p value of less than 0·0125. This trial is registered in the Dutch trial registry, NTR6738, and is complete. Between Sept 11, 2017, and Nov 27, 2020, 412 888 whole-blood donors visited a donation centre, and we did measurements on samples from 37 621 donations from 36 099 donors. Over 38 months, ferritin-guided donation intervals increased mean ferritin concentrations (by 0·18 log10 ng/mL [95% CI 0·15-0·22; p<0·0001] in male donors, 0·10 log10 ng/mL [0·06-0·15; p<0·0001] in premenopausal female donors, and 0·17 log10 ng/mL [0·12-0·21; p<0·0001] in postmenopausal female donors) and mean haemoglobin concentrations (by 0·30 g/dL [95% CI 0·22-0·38; p<0·0001] in male donors, 0·12 g/dL [0·03-0·20; p<0·0074] in premenopausal female donors, and 0·16 g/dL [0·05-0·27; p<0·0044] in postmenopausal female donors). Iron deficiency decreased by 36-38 months (odds ratio [OR] 0·24 [95% CI 0·18-0·31; p<0·0001] for male donors, 0·49 [0·37-0·64; p<0·0001] for premenopausal female donors, and 0·24 [0·15-0·37; p<0·0001] for postmenopausal female donors). At 36-38 months, haemoglobin-based deferral decreased significantly in male donors (OR at 36-38 months 0·21 [95% CI 0·10-0·40, p<0·0001]) but not significantly in premenopausal or postmenopausal female donors (0·81 [0·54-1·20; p=0·29] and 0·50 [95% CI 0·25-0·98; p=0·051], respectively). Ferritin-guided donation intervals significantly improved haemoglobin and ferritin concentrations and significantly decreased iron deficiency over the study period. Haemoglobin-based deferrals decreased significantly for male donors, but not female donors. Although this intervention is overall beneficial for maintenance of iron and haemoglobin concentrations in donors, increased efforts are needed to recruit and retain donors. The Sanquin Research Programming Committee.

A Comprehensive Review of Cogenerative Dialogue in Science Education

Abstract This study comprehensively explores cogenerative dialogue in science education from a sociocultural perspective. Analyzing 120 papers and theses from January 2001 to December 2022 in Korean and English journals, we examine their objectives, themes, methods, learners, educational levels, participants, researcher roles, coteaching connections, and program durations. Our data analysis reveals growing diversity in cogenerative dialogue research objectives and subjects across countries. Consistent patterns emerge regarding researcher roles, participant groups, and program durations. This research offers insights into the evolving cogenerative dialogue landscape in science education, informing future investigations and highlighting trends in this field. The findings presented not only shed light on the current state of research but also provide direction for future investigations, highlighting trends and distinctive features in various facets of cogenerative dialogue-related studies. Specifically, we offer suggestions for the need for research in Korean science education contexts and more broadly in the Asia-Pacific region.

The Role of Recreational Activities in Enhancing Quality of Life among the Elderly

Purpose: The general aim of this study was to explore the role of recreational activities in enhancing the quality of life among the elderly. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library. Findings: The findings reveal that there exists a contextual and methodological gap relating to the role of recreational activities in enhancing the quality of life among the elderly. Preliminary empirical review revealed that regular participation in recreational activities was crucial for improving various aspects of well-being for older adults. Physical activities improved physical health and mobility, social activities reduced feelings of loneliness and isolation, and cognitive and creative activities stimulated the brain and enhanced psychological well-being. The study identified gaps in understanding and access to recreational activities for the elderly, highlighting the need for more research and inclusive programming. Overall, the findings underscored the importance of tailored recreational programs in promoting a better quality of life for elderly individuals. Unique Contribution to Theory, Practice and Policy: Theory of Planned Behavior, Activity Theory and Socioemotional Selectivity Theory may be used to anchor future studies on recreational activities on the quality of life among the elderly. The study made significant contributions to theory, practice, and policy in gerontology and public health. It provided empirical support for existing theories, such as the Theory of Planned Behavior and Socioemotional Selectivity Theory, while offering actionable recommendations for healthcare providers, community organizations, and policymakers. By validating theoretical frameworks, offering practical insights, and informing policy initiatives, the study advanced understanding of how recreational interventions can promote well-being and quality of life in aging populations. Through continued research, practice, and policy efforts, stakeholders could work collaboratively to create supportive environments

New Mean and Median Techniques to Solve Multiobjective Linear Fractional Programming Problem and Comparison with Other Techniques

In the field of operation research, both linear and fractional programming problems have been more encountered in recent years because they are more realistic in expressing real-life problems. Fractional programming problem is used when several rates need to be optimized simultaneously such as resource allocation planning, financial and corporate planning, healthcare, and hospital planning. There are several techniques to solve the multiobjective linear fractional programming problem. However, because of the use of scalarization, these techniques have some limitations. This paper proposed two new mean and median techniques to solve the multiobjective linear fractional programming problem by overcoming the limitations. After utilizing mean and median techniques, the problem is converted into an equivalent linear fractional programming problem; then, the linear fractional programming problem is transformed into linear programming problem and solved by the conventional simplex method or mathematical software. Some numerical examples have been illustrated to show the efficiency of the proposed techniques and algorithm. The performance of these solutions was evaluated by comparing their results with other existing methods. The numerical results have shown that the proposed techniques are better than other techniques. Furthermore, the proposed techniques solve a pure multiobjective maximization problem, which is even impossible with some existing techniques. The present investigation can be improved further, which is left for future research.

Невербальная синхронизация и альянс в экспозиционной психотерапии детской тревожности: анализ единичного случая

&lt;p style="text-align: justify;"&gt;Exposure therapy (ET) has been shown to be effective in working with anxiety disorders in children. In the Russian literature, there are few protocols of ET, and no effectiveness studies have been found. Contribution to the effectiveness of work with anxiety is conditioned by the alliance between psychologist and client, as well as by the phenomenon of temporal attunement of physiological and behavioral parameters of two or more people during their interaction (interpersonal synchrony). This article presents the results of an observation of the dynamics of anxiety symptoms, psychologists' alliance, and synchrony at the behavioral level in a single case analysis of an intensive five-day ET intervention with child anxiety. It was found that high alliance scores and their positive dynamics, as well as the psychologist's adjustment to the client's movements, were observed simultaneously with de-escalation of anxiety symptoms. In addition to these findings, the article provides a detailed description of the research program and recommendations for researchers of the psychotherapeutic process and psychologists-practitioners.&lt;/p&gt;

Optimizing Concrete Paver Block Production: A Linear Programming Approach for Enhanced Profitability in the Construction Industry

As an operational optimization (maximization or minimization) methodology, linear programming (L.P.) in operation research has proven successful in several areas by offering logical outcomes to challenging issues, including resource constraints. The study aimed to bridge the gap between theoretical applications of L.P. and the practical needs of the construction industry, specifically focusing on determining the optimal production quantities of 60 mm and 40 mm concrete paver blocks for Janta Udhog Pvt. Ltd. as a case study to achieve maximum profitability, offering essential new insights into how L.P. may successfully handle the complex problems encountered by businesses in this industry. An interview with the owner of Janta Udhog Pvt. Ltd. was conducted to obtain the primary data for the study. Secondary data such as sale records, monthly demand of each product, and inventory records were also obtained to formulate a linear programming model. The model was then solved using the LINGO software. This research underscores the optimal production recommendations for Janta Udhog Pvt. Ltd., advising the manufacture of 566.67 units of the 60 mm block and 350 units of the 40 mm block, leading to a maximum daily profit of NPR 2966.67. By applying linear programming techniques, these findings contribute to a more informed and strategic decision-making approach in the construction sector. The study illuminates the benefits of utilizing linear programming in challenging situations, providing valuable insights for academics, business owners, and decision-makers.

An Exploratory-Descriptive Analysis of Training Programs for Leadership in Health Research and Services in India.

There are several leadership training programs for health researchers in India. However, there is a need to develop context-tailored leadership and mentoring approaches. The objective of the study is to critically analyze the available leadership training programs in India for health researchers and service providers, for the leadership domains incorporated and overall training approaches. We used an exploratory-descriptive design to identify and review leadership training programs for health researchers and service providers/managers that had been offered by Indian institutions between 2013 and 2018. Our analytic approach was based on "transformational leadership" and "leader-member exchange" theories of leadership, curricula of popular leadership training programs worldwide, and the International Clinical Epidemiology Network model for leadership in health research in India based on a nationwide primary study. We identified and reviewed 20 leadership training programs. These were heterogeneous in aim, scope (broad-based/thematic), course content, design, target participants and class profile, mode of delivery and training method, duration, frequency, and fund arrangements. The programs infrequently included topics on soft skills, mentoring, risk mitigation, collaboration for research, funding dynamics, institutional transformation, self-view and peer perception, and personal well-being. The programs insufficiently addressed contextual challenges of career exploration and risk mitigation, project management, strategic planning, and decision-making, ethics and integrity, negotiations, networking and collaboration, understanding funding dynamics, and mentoring. Only three programs linked to the training to the participants' ecosystem. There is a need to develop customized course contents and training strategies that address the requirements of the local context vis-à-vis globally connected research ecosystems.

Programming the next generation of prenatal programming of stress research: A review and suggestions for the future of the field.

In this article, I highlight core ideas, empirical findings, and advances in the study of how stress during pregnancy may prenatally program child neurodevelopmental, psychopathological, and health outcomes, emphasizing reviews, metanalyses, and recent contributions of conceptual and empirical work. The article offers a perspective on the history of this area of science, the underrecognized contributions of influential scholars from diverse fields of study, what we know from the evidence to date, the persistent challenges in sorting through what is left to learn, and suggestions for future research. I include sections focused on promoting resilience, pregnancy interventions that demonstrate positive effects across two generations, and the translational implications of the accruing data for practice and policy, highlighting opportunities for integrating across a range of fields and sectors. In the concluding sections, I discuss lessons learned from conducting this work and provide a closing summary of progress and future directions. The goal of this writing was to provide a viewpoint on some ways that emerging intergenerational transmission scholars might responsibly contribute to the future of the field of developmental psychopathology.

Evaluation of the book of social skills and values of the ninth grade from the perspective of teachers

The aim of this research is to evaluate and analyze the textbooks of social skills and values for nine grade, as well as evaluate the textbooks of social skills and values from the perspective of teachers according to gender (male and female) and education (East and West). Appropriate and percentage weight to achieve these goals, the researcher used the descriptive method of praise. The research tool was to determine a criterion for the book of social skills and values, which was (55) After confirming the truth and substitute of the criterion, was applied to the research sample, which consisted of 172, in order to treat statistics, data and information Collections of the research community, researcher program (spss) used the data, and extracted the appropriate center and percentage weight to determine the strengths and weaknesses of the measure.

The Shortfalls of Mental Health Compartment Models: A Call to Improve Mental Health Investment Cases in Developing Countries

ObjectivesThere are irregularities in investment cases generated by the Mental Health Compartment Model. We discuss these irregularities and highlight the costing techniques that may be introduced to improve mental health investment cases. MethodsThis analysis uses data from the World Bank, the World Health Organisation Mental Health Compartment Model, the United Nations Development Program, the Kenya Ministry of Health, and Statistics from the Kenyan National Commission of Human Rights. ResultsWe demonstrate that the Mental Health Compartment Model produces irrelevant outcomes that are not helpful for clinical settings. The model inflated the productivity gains generated from mental health investment. In some cases, the model underestimated the economic costs of mental health. Such limitation renders the investment cases poor in providing valuable intervention points from the perspectives of both the users and the providers. ConclusionThere is a need for further calibration and validation of the investment case outcomes. The current estimated results cannot be used to guide service provision, research, and mental health programming comprehensively.

Applying Front-end Analysis Insights in the Development of a Data Management Course for Biomedical Researchers

In this article, we describe how our design team used front-end analysis to identify the training needs, gather design precedents, conduct a learner analysis study, and apply the insights in designing a data management course for biomedical researchers. In-person and online versions of the course were developed and implemented with cohorts of a research training and mentorship program for biomedical researchers. The course development project adds to the emerging literature base of design precedents for instruction on research data management guided by the FAIR principles of findability, accessibility, interoperability, and reusability of research data.

Can We Talk? Exploring the Effects of Mental Health Stigma, Support, and Openness on National Collegiate Athletic Association Student-Athlete Mental Health

National Collegiate Athletic Association (NCAA) student athletes may have more stigmatic views toward mental health (MH) and be less open to talking about or seeking support for MH struggles than their peers. This may contribute to and/or exacerbate existing MH challenges. This cross-sectional study explored the impact of MH stigma, support, and openness on student athletes’ levels of depression, anxiety, and stress among 478 NCAA student athletes representing 20 different sports from 56 universities. Results indicated that male, Black, Indigenous, People of Color (BIPOC), and Division I athletes reported higher levels of MH stigma. Compared with their White peers, BIPOC athletes exhibited less openness to talk about MH challenges. Division I and BIPOC athletes felt less supported to seek help for MH concerns. Structural equation modeling showed that MH stigma was positively associated with depression, anxiety, and stress, whereas MH openness was negatively associated with depression, anxiety, and stress. Research/practical implications, limitations, and future research and athletic department programming needs are discussed.