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Incorporating Holistic Wellness and Stress Education Into the Undergraduate Anatomy and Physiology Classroom

2025· article· en· W4411875275 on OpenAlexaff
Holly E. Bates, Sarah West

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Innovation
Canadian institutionsTrent University
Fundersnot available
KeywordsPhysiologyStress (linguistics)AnatomyMedical educationMedicinePsychologyBiology

Abstract

fetched live from OpenAlex

The transition to university comes with a range of new pressures for undergraduate students. Before the COVID-19 pandemic, mental health disorders were commonly reported among post-secondary students and unfortunately, psychosocial challenges have become more apparent through the pandemic. Although academic and wellness resources are available on campuses, most post-secondary students feel that more institutional resources are needed, yet funding for wellness programs are susceptible to cuts as universities cope with budget constraints. To help ease this first year transition, in partnership with our Academic Skills, Student Wellness, and International Student Centres, we developed a suite of 15-minute holistic in class support sessions called the Mind Matters Mini-Sessions (3M Sessions). These sessions covered a range of topics relevant to the first-year experience (e.g. stress coping strategies, time management, resilience, sleep hygiene, food insecurity) and were piloted in our large, first-year Human Anatomy course. As we now redesign our first-year Human Anatomy and Physiology courses, we are working to supplement these 3M sessions by incorporating stress physiology and coping strategies into the curriculum with the goals of simultaneously improving student well-being, student understanding of physiology core concepts, and promoting student development of physiology and premed competencies. Topics such as stress-induced effects on the hypothalamic-pituitary-adrenal axis, sympathetic nervous system, heart rate, blood pressure, digestion, urination, etc. will be discussed in their respective lectures on that physiological system and explored in a more integrative manner in the lab setting. Briefly, labs will be designed to include activities that explore the impact of stress (mental arithmetic) in student participants on physiological functions (e.g. heart rate, blood pressure, respiration, body temperature, blood glucose, salivary cortisol, and galvanic skin response), and culminate in a hypothesis-driven lab experiment that uses this same equipment to determine the impact of stress coping mechanisms (e.g. meditation) on these stress-induced physiological responses. We will discuss student feedback on the piloted 3M sessions and welcome discussion on our plan to incorporate stress physiology and coping strategies into the Anatomy & Physiology course curriculum. Overall, it is hoped that these curriculum changes will simultaneously connect students with campus and at home resources to manage stress while helping them to understand the physiology of stress management. Through stress-based lab experiments, students will gain competencies in scientific reasoning and critical thinking and an appreciation for the interdependence of physiological systems. Most importantly, it is hoped that students will become better learners who are equipped to succeed in post-secondary education, and as a result, create more well-rounded graduates. American Physiological Society Teaching Enhancement Award, Trent University Wickerson Foundation Fund This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.355
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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