The Association And Ability Of Mental Toughness To Predict Cardiorespiratory Fitness In The General Population: A Pilot Study

Mental toughness (MT) is associated with performative contexts as the defining attribute that enables individuals to thrive in demanding situations. MT has been linked to varying physiological outcomes in various populations. Cardiorespiratory fitness (CRF) is likewise associated with health and performance outcomes; thereby, assessing CRF remains a vital metric for assessing aerobic performance. What remains unexplored is the relationship between MT and CFT and whether MT can be used as an additional metric to determine CRF. PURPOSE: To determine if MT scores are able to predict CRF levels as indicated by VO2 values. METHODS: Fifty individuals (n = 50, Males:31 and Females:19; Age = 44.7 + 14.8; Ht. = 68.7 + 3.6 in; Wt. = 183.0 + 40.7 lbs; %BF = 24.2 + 7.2; VO2 = 33.8 + 8.5 ml/kg/min) completed a single Bruce Protocol treadmill test. Prior to the exercise test, participants filled out a validated 8-question MT questionnaire survey (total MT score) to quantify MT. Data were analyzed using a multiple correlation and linear regression between VO2 values and MT levels to determine the relationship between both factors. All analyses were performed using SPSS (v.29.01). RESULTS: There was no significant correlation between CRF and MT (r = 0.07, p = 0.64). Additionally, MT was not able to predict CRF (R2 = 0.005, p = 0.64). CONCLUSION: There was no significant correlation observed between MT and CRF. Additionally, MT was not able to significantly predict CRF in a general population cohort. Based on the results, the outcomes are potentially due to the low sample size and higher variance of the sample population. Data collection is currently ongoing to achieve the predetermined sample size. Baylor Internally Funded Project

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001057068.72418.68
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Association And Ability Of Mental Toughness To Predict Cardiorespiratory Fitness In The General Population: A Pilot Study

Ricardo Torres, Tomas J. Chapman-Lopez, Jeffery Forsse, Andreas Stamatis et al.
Medicine & Science in Sports & Exercise
Cardiovascular and exercise physiology
article

The Association And Ability Of Mental Toughness To Predict Cardiorespiratory Fitness In The General Population: A Pilot Study

Ricardo Torres, Tomas J. Chapman-Lopez, Jeffery Forsse, Andreas Stamatis, Meena Meiyyappan, Leroy Bolden, A Crone
article en

Abstract

Mental toughness (MT) is associated with performative contexts as the defining attribute that enables individuals to thrive in demanding situations. MT has been linked to varying physiological outcomes in various populations. Cardiorespiratory fitness (CRF) is likewise associated with health and performance outcomes; thereby, assessing CRF remains a vital metric for assessing aerobic performance. What remains unexplored is the relationship between MT and CFT and whether MT can be used as an additional metric to determine CRF. PURPOSE: To determine if MT scores are able to predict CRF levels as indicated by VO2 values. METHODS: Fifty individuals (n = 50, Males:31 and Females:19; Age = 44.7 + 14.8; Ht. = 68.7 + 3.6 in; Wt. = 183.0 + 40.7 lbs; %BF = 24.2 + 7.2; VO2 = 33.8 + 8.5 ml/kg/min) completed a single Bruce Protocol treadmill test. Prior to the exercise test, participants filled out a validated 8-question MT questionnaire survey (total MT score) to quantify MT. Data were analyzed using a multiple correlation and linear regression between VO2 values and MT levels to determine the relationship between both factors. All analyses were performed using SPSS (v.29.01). RESULTS: There was no significant correlation between CRF and MT (r = 0.07, p = 0.64). Additionally, MT was not able to predict CRF (R2 = 0.005, p = 0.64). CONCLUSION: There was no significant correlation observed between MT and CRF. Additionally, MT was not able to significantly predict CRF in a general population cohort. Based on the results, the outcomes are potentially due to the low sample size and higher variance of the sample population. Data collection is currently ongoing to achieve the predetermined sample size. Baylor Internally Funded Project

Medicine & Science in Sports & ExerciseVol. 56(10S)
Baylor University (US)
Openalex Percentile: Top 69%
Cardiovascular and exercise physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.