The science behind Tepy

The science behind TEPY

Tepy’s effectiveness in providing customised programmes for
musculoskeletal well-being rests on a solid scientific foundation.
The app was developed by a team of experts who
carefully selected and applied the best evidence
from the international medical-scientific literature.

The science behind TEPY

Tepy’s effectiveness in providing customised programmes for musculoskeletal well-being rests on a solid scientific foundation.
The app was developed by a team of experts who carefully selected and applied the best evidence from the international medical-scientific literature.

Selected articles

For those wishing to learn more about the theoretical and practical foundations on which Tepy is based, we have collected a selection of the main publications and articles documenting the app’s innovative approach. We invite anyone interested to consult the scientific resources we have collected that demonstrate the soundness of the expertise on which Tepy is based.

Selected articles

The overtraining syndrome in athletes: A stress-related disorder.
Angeli, A. M. (2004).
J Endocrinol Invest., 27, 603–612.
https://doi.org/10.1007/BF03347487

Overtraining Syndrome as a Complex Systems Phenomenon.
Armstrong LE, B. M. (2022).
Front Netw Physiol.
18;1:794392. doi: 10.3389/fnetp.2021.794392

J. &. (2023). Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum.
JAMA internal medicine.
183. 10.1001/jamainternmed.2023.1838.

Balagué N, H. R.-R. (2020). Network Physiology of Exercise: Vision and Perspectives.
Front Physiol.
11;11:611550. doi: 10.3389/fphys.2020.611550

Bobba-Alves N, J. R. (2022). The energetic cost of allostasis and allostatic load.
Psychoneuroendocrinology.
8;146:105951. doi: 10.1016/j.psyneuen.2022.105951

Bonilla DA, C. L.-G.-R.-M. (2022). Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations.
Int J Environ Res Public Health.
5;19(19):12710. doi: 10.3390/ijerph191912710

Chung Y, H. Y. (2021). Physiological and Psychological Effects of Treadmill Overtraining Implementation.
Biology (Basel).
10;10(6):515. doi: 10.3390/biology10060515

CMcewen, B. (2007). Physiology and Neurobiology of Stress and Adaptation: Central Role of the Brain.
Physiological reviews.
87. 873-904. 10.1152/physrev.00041

Coyne JOC, G. H. (2018). The Current State of Subjective Training Load Monitoring-a Practical Perspective and Call to Action.
Sports Med Open.
120;4(1):58. doi: 10.1186/s40798-018-0172-x

Delgado DA, L. B. (2018). Validation of Digital Visual Analog Scale Pain Scoring With a Traditional Paper-based Visual Analog Scale in Adults.
J Am Acad Orthop Surg Glob Res Rev.
23;2(3):e088. doi: 10.5435/JAAOSGlobal-D-17-00088. PMID: 30211382; PMCID: PMC6132313

Doan, S. N. (2021). Allostatic load: Developmental and conceptual considerations in a multi‐system physiological indicator of chronic stress exposure.
Developmental Psychobiology
63(5), 825–836. doi:10.1002/dev.22107

Escalona-Marfil C, C. A.-M.-G. (2020). Validation of an Electronic Visual Analog Scale mHealth Tool for Acute Pain Assessment: Prospective Cross-Sectional Study.
J Med Internet Res.
12;22(2):e13468. doi: 10.2196/13468

Galambos SA, T. P. (2005). Psychological predictors of injury among elite athletes.
Br J Sports Med., 39(6):351-4; discussion.
351-4. doi: 10.1136/bjsm.2005.018440

Gay JL, S. J.-H. (2015). Meeting physical activity guidelines is associated with lower allostatic load and inflammation in Mexican Americans.
J Immigr Minor Health.
17(2):574-81. doi: 10.1007/s10903-013-9950-1.

Guidi J, L. M. (2021). Allostatic Load and Its Impact on Health: A Systematic Review.
Psychother Psychosom.
90(1):11-27. doi: 10.1159/000510696

Hjermstad MJ, F. P. (2011). Studies comparing Numerical Rating Scales, Verbal Rating Scales, and Visual Analogue Scales for assessment of pain intensity in adults: a systematic literature review.
J. Pain Symptom Manage.
41(6):1073-93. doi: 10.1016/j.jpainsymman.2010.08.016. PMID: 21621130

Kersten P, W. P. (2014). Is the pain visual analogue scale linear and responsive to change? An exploration using Rasch analysis.
PLoS One.
12;9(6):e99485. doi: 10.1371/journal.pone.0099485.

Lund I, L. T. (2005). Lack of interchangeability between visual analogue and verbal rating pain scales: a cross sectional description of pain etiology groups.
BMC Med Res Methodol.
4;5:31

McEwen, B. S. (2006). Sleep deprivation as a neurobiologic and physiologic stressor: allostasis and allostatic load..
Metabolism.
55, S20–S23. doi:10.1016/j.metabol.2006.07.008

O’Hara R, S. L. (2022). Physiological and Psychological Stressors Affecting Performance, Health, and Recovery in Special Forces Operators: Challenges and Solutions. A Scoping Review.
J Spec Oper Med.
1;22(2):139-148

Olsen MF, B. E. (2017). Pain relief that matters to patients: systematic review of empirical studies assessing the minimum clinically important difference in acute pain.
BMC Med.
20;15(1):35.

Peake JM, M. J. (1985). Modulating exercise-induced hormesis: Does less equal more?
J Appl Physiol.
1;119(3):172-89. doi: 10.1152/japplphysiol.01055.2014

Rodriquez EJ, K. E.-S. (2019). Allostatic Load: Importance, Markers, and Score Determination in Minority and Disparity Populations
J Urban Health., 96(Suppl 1)
3-11. doi: 10.1007/s11524-019-00345-5

Todd KH, F. K. (1996). Clinical significance of reported changes in pain severity.
Ann Emerg Med.
485-9. doi: 10.1016/s0196-0644(96)70238-x. PMID: 8604867