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Denise V. Macedo; Bernardo N. Ide – Advances in Physiology Education, 2025
This article explores an innovative educational approach using a metabolic board designed to enhance understanding of muscle metabolism across three endurance training zones: Z1 (light intensity), Z2 (moderate intensity), and Z3 (intense/severe intensity). The aerobic threshold marks the transition from light to moderate domains and the anaerobic…
Descriptors: Educational Strategies, Teaching Methods, Science Education, Metabolism
Anton Hesse; Scott Sheffield; Murray Jensen – HAPS Educator, 2025
This study revises and enhances a guided inquiry activity designed to introduce undergraduate and high school students to the physiological concepts of exercise fatigue during a 400-meter dash. This activity has been employed since 2016 in entry-level human physiology courses at the University of Minnesota and across 30 high schools. Using…
Descriptors: Athletics, Metabolism, High School Students, State Universities
Verity Chester; Medha Cherukat; Nicholas Smith; Elizabeth Patteril; Indermeet Sawhney; Asif Zia; Regi Alexander – Journal of Applied Research in Intellectual Disabilities, 2025
Introduction: Hypothyroidism is a chronic health condition which causes physical, cognitive and psychiatric symptoms. The prevalence of hypothyroidism in adults with intellectual disabilities is under researched. Method: Hypothyroidism was examined among 463 patients within an outpatient intellectual disability psychiatric team. Clinic records…
Descriptors: Intellectual Disability, Physiology, Metabolism, Adults
Kayacan, Yildirim; Makaraci, Yücel; Ozgocer, Tuba; Ucar, Cihat; Yildiz, Sedat – Research Quarterly for Exercise and Sport, 2021
Purpose: This study aimed to examine the activities of heart rate variability (HRV) and cortisol secretion as markers of the autonomous nervous system (ANS) and the hypothalamic-pituitary-adrenal axis (HPA) during the menstrual cycle in female athletes. Method: Saliva samples of the participants (n = 28) were collected successively at 0, 15, 30,…
Descriptors: Athletes, Females, Physiology, Metabolism
Hirsch, Katie R.; Blue, Malia N. M.; Smith-Ryan, Abbie E. – Measurement in Physical Education and Exercise Science, 2023
Impedance (Z), resistance (R), reactance (Xc), and phase angle (PhA) are sensitive to shifts in fluid between intra- and extracellular compartments, as would occur with nutrient uptake into skeletal muscle, but remains largely unexplored. To explore the sensitivity of whole-body and segmental (arms, legs, trunk) bioimpedance to acute feeding, 27…
Descriptors: Nutrition, Biochemistry, Metabolism, Young Adults
Fatma Subasi Turgut; Mehmet Karadag; Seyithan Taysi; Zehra Hangül; Cem Gokcen – International Journal of Developmental Disabilities, 2024
Recent studies show that oxidative stress has an important role in the etiology of autism. In our study, Nrf2, which is the main regulator of cellular antioxidant response, and Keap1 and Gsk-3[beta], which are the main proteins that regulate this pathway, were compared between children with autism and healthy controls. To the best of our…
Descriptors: Autism Spectrum Disorders, Metabolism, Pathology, Physiology
Besler, Hamza Kaya – Journal of Educational Issues, 2022
The purpose of this study is to determine the effect of 8 weeks of HRV (Heart Rate Variability) training on the happiness and coherence levels of university students. According to this purpose, 20 sports management students from the same class volunteered to participate in the study. 10 students were selected randomly as the experimental group…
Descriptors: Metabolism, Psychological Patterns, College Students, Intervention
Beth Beason-Abmayr; David R. Caprette – Advances in Physiology Education, 2025
We present an alternative to the traditional classroom lecture on the topics of metabolic scaling, allometric relationships between metabolic rate (MR) and body size, and reasons for rejecting Rubner's surface "law," concepts that students have described as challenging, counterintuitive, and/or mathematical. In groups, students work with…
Descriptors: Metabolism, Body Composition, Animals, Active Learning
Eann Malabanan; Owen P. McGuinness; Kendra H. Oliver – Advances in Physiology Education, 2024
The COVID-19 pandemic and subsequent policies (e.g., social distancing, travel restrictions) challenged both organizers for and attendees of programs typically held in person. Many scientific training programs quickly adapted to virtual formats by incorporating digital assets developed for virtual learning and remote social engagement. At the…
Descriptors: Science Education, Scientists, Physiology, Electronic Learning
Jeremy Peabody; Markus T. Ziesmann; Lawrence M. Gillman – Advances in Health Sciences Education, 2024
Medical personnel often experience stress when responding to a medical emergency. A known stress-response is a measurable reduction in heart rate variability. It is currently unknown if crisis simulation can elicit the same stress response as real clinical emergencies. We aim to compare heart rate variability changes amongst medical trainees…
Descriptors: Physicians, Stress Variables, Metabolism, Training
Camila Aparecida Errerias Fernandes Cardinali; Yandara Akamine Martins; Rodrigo Pereira Prates; Emmanuel Veríssimo de Araújo; Felipe Jose Costa Viana; Maria Eleticia de Sousa; Eduardo da Cunha Bombardi; Marcus Vinicius Chrysostomo Baldo; Maria Tereza Nunes – Advances in Physiology Education, 2025
Games and analogies can significantly enrich the learning experience when integrated with traditional expository teaching methods. With this aim, we developed "The Mystery of the Cell Kingdom," an online game designed to enhance understanding of the physiology of thyroid hormones through a medieval analogy. In the game, students are…
Descriptors: Game Based Learning, Physiology, Metabolism, Educational Games
Ketonen, Elina E.; Salonen, Visajaani; Lonka, Kirsti; Salmela-Aro, Katariina – British Journal of Educational Psychology, 2023
Background: This study explored the physiological correlates of students' self-reported emotions in ecologically valid settings by combining biosignal data (on physical and cardiac activity) and experience sampling method (ESM) data. Aims: The aim was to examine the concurrent associations between self-reported excitement, calmness, anxiety, and…
Descriptors: Psychological Patterns, Physiology, Measurement Techniques, Emotional Response
Febe Demedts; Jan Cornelis; Bert Reynvoet; Delphine Sasanguie; Fien Depaepe – Journal of Numerical Cognition, 2023
Math anxiety (MA) is an important affective factor that contributes to individuals' math proficiency. While self-reports are commonly used to measure MA, a number of limitations are inherently connected to this measuring method. Physiological responses are considered a promising alternative approach, but research is scarce and the empirical…
Descriptors: Mathematics Anxiety, Measurement Techniques, Physiology, Difficulty Level
Jonas G. Miller; Emma Armstrong-Carter; Leah Balter; Julie Lorah – Grantee Submission, 2023
Biobehavioral frameworks of attachment posit that mother-child dyads engage in physiological synchrony that is uniquely formative for children's neurobiological, social, and emotional development. Much of the work on mother-child physiological synchrony has focused on respiratory sinus arrhythmia (RSA). However, the strength of the existing…
Descriptors: Meta Analysis, Parent Child Relationship, Mothers, Physiology
Coombe, Ashley Helvig; Hayat, Matthew J.; Faulkner, Melissa Spezia; Rogers, Ann E.; Lee, Jiwon; Clark, Patricia C. – Journal of American College Health, 2022
Objective: Impaired sleep is associated with insulin resistance (IR), a precursor to type 2 diabetes mellitus (T2DM), but is poorly understood in young adults. This cross-sectional study examined sleep characteristics, risk factors for T2DM, and IR in college students. Participants: Thirty-two college students (18--25 years) with either short…
Descriptors: Diabetes, College Students, Sleep, Physiology