The Relationship Between Training Volume and BMI in the Expression of Running Performance in Runners: A Mediation Model

Thuany, Mabliny; Hill, Lee; Alvero-Cruz, José Ramón; Knechtle, Beat; Gomes, Thayse Natacha

doi:10.1007/s42978-022-00172-2

Cited by 3 publications

(5 citation statements)

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“…For ultra-marathoners, BMI explained about 10 to 12% of the variance in running speed ( Hoffman, 2008 ). In addition, BMI was related to training behaviors for performance prediction in different race distances (e.g., 5 km, 10 km, half-marathon, marathon) ( Christou et al, 2021 ; Thuany et al, 2022b ). BMI was also related to running-related injuries ( Buist and Bredeweg, 2011 ), and needs to be carefully considered in association with training behaviors and motivation.…”

Section: Discussionmentioning

confidence: 99%

Differences in training characteristics of recreational endurance runners by race distance – results from the NURMI Study (Step 2)

Knechtle,

Tanous,

Thuany

et al. 2024

Front. Psychol.

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BackgroundAlthough runner’s profiles were previously investigated, information on the training frequency and training distance for short (5 km, 10 km) and long-distance (>21 km) running is absent. The present study aimed to investigate the associations between training routines and exercise habits of recreational endurance runners considering self-reported preferred race distance [10 km, half-marathon (HM), and marathon/ultra-marathon (M/UM)] subgroups.MethodsThis is a cross-sectional study, sampling 154 recreational runners of both sexes. A web survey was used for data collection regarding age, sex, preferred distance (10-km, HM, M/UM), training routines, exercise habits, and periodized training routines. The Chi-square test (Cramer’s V) and Kruskal-Wallis test (Eta-Squared η2) with effect sizes were used for comparisons between race distances.ResultsSignificant differences were shown for anthropometric, training, and periodization characteristics. Highly significant differences were found between subgroups for the number of sessions, running kilometers, and training hours at all periods and within all four preparation conditions. M/UM runners were training more frequently, for longer durations, and ran greater distances each week.ConclusionThis finding supports the notion that training habits and periodization characteristics are different for different race distances (10-km, half marathon, marathon, and ultramarathon).

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Section: Discussionmentioning

confidence: 99%

Differences in training characteristics of recreational endurance runners by race distance – results from the NURMI Study (Step 2)

Knechtle,

Tanous,

Thuany

et al. 2024

Front. Psychol.

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“…In addition, we should not ignore the intersection between anthropometric variables, body composition, and training characteristics (Thuany et al, 2022 ). The running speed during training sections and the body fat percentage explains ~44% of the performance of recreational marathon runners (Gómez-Molina et al, 2017 ).…”

Section: Foundations For the Runners' Performance Holistic Approachmentioning

confidence: 99%

“…In contrast, the association of practice time, training volume, BMI, and skinfold sum explains ~90.3% of the variance in the half-marathon performance among non-professional male runners (Barandun et al, 2012 ). Therefore, biological, morphological, and training variables constantly interact to the expression of running performance (Thuany et al, 2022 ).…”

Section: Foundations For the Runners' Performance Holistic Approachmentioning

confidence: 99%

“…Among these variables, anthropometric and body composition are the most investigated, possibly due to the low cost and practicality associated with their measurement. In general, the results show that there is a negative relationship between BMI and fat percentage with running performance (Sedeaud et al, 2014;Vincent et al, 2020;Thuany et al, 2022). Moreover, these results may be explained by factors related to the following characteristics: (a) running is considered a "weight-sensitive" sports practice (Sedeaud et al, 2014;Vincent et al, 2020), where the generation of force to sustain the body weight during displacement is the primary determinant of the metabolic cost of running, and a "simple" increase of 10% in body mass may represent an increase of ∼14% in running energy expenditure (Silva, 2019); and (b) the fact that ∼20% of the energy spent during displacement is for the acceleration of the lower limbs, so an increase in body mass may lead to loss of efficiency, as well as greater heat accumulation at a given submaximal running speed, which may compromise the exercise if high internal temperatures are reached (Fuziki, 2012).…”

Section: Micro-levelmentioning

confidence: 99%

“…Moreover, these results may be explained by factors related to the following characteristics: (a) running is considered a "weight-sensitive" sports practice (Sedeaud et al, 2014;Vincent et al, 2020), where the generation of force to sustain the body weight during displacement is the primary determinant of the metabolic cost of running, and a "simple" increase of 10% in body mass may represent an increase of ∼14% in running energy expenditure (Silva, 2019); and (b) the fact that ∼20% of the energy spent during displacement is for the acceleration of the lower limbs, so an increase in body mass may lead to loss of efficiency, as well as greater heat accumulation at a given submaximal running speed, which may compromise the exercise if high internal temperatures are reached (Fuziki, 2012). In addition, we should not ignore the intersection between anthropometric variables, body composition, and training characteristics (Thuany et al, 2022). The running speed during training sections and the body fat percentage explains ∼44% of the performance of recreational marathon runners (Gómez-Molina et al, 2017).…”

Section: Micro-levelmentioning

confidence: 99%

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Beyond the border of the athlete-centered approach: a model to understand runners' performance

Thuany,

Gomes,

Weiss

et al. 2023

Front. Psychol.

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Our purpose is to move beyond the borders of the athlete-centered approach by examining the runners' environment interplay as a key factor for performance. Based on the ecological systems theory, the micro-level (intrapersonal, interpersonal, and training characteristics), meso-level (a direct association with athletes is not observed, but the environment plays an influence on the relationships built at the micro-level), and macro-level (contextual features that influence athletic systems) were theorized and contextualized as important factors for the expression of different outcomes, including performance and participation. We also conceptualized the microtime, mesotime, and macrotime as a constraint. Through this model, we aimed to provide applications and conclusions about how this conceptual model provides advances in the scientific research field. By understanding how environmental factors influence their performance, runners can make informed decisions about where and how to train and compete. Furthermore, by recognizing the role of culture and social context in shaping runners' experiences and outcomes, we can work toward creating a more equitable and supportive running culture for all.

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Relationship between Body Mass Index, Dynamic Balance, and Core Muscle Endurance in Firefighter Candidates: A Cross-Sectional Study

Karataş

2024

Sportive

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This study aimed to examine the effects of Body Mass Index (BMI) on dynamic balance and core muscle endurance in firefighter candidates. In physically demanding professions, such as firefighting, understanding the impact of BMI on physical performance metrics is crucial for both occupational safety and effectiveness. The study was conducted with 89 firefighter candidates, with a gender distribution of 23.6% female (n=21, age 19.86±1.86 years, height 1.64±0.05 m, weight 59.47±7.26 kg) and 76.4% male (n=68, age 19.82±1.25 years, height 1.78±0.04 m, weight 74.36±12.09 kg). Within the scope of the research, the results of the BMI, balance, and core muscle endurance tests were evaluated. BMI was calculated based on measurements of participant height and weight. Dynamic balance performance was assessed using the Y-Balance Test, while core muscle endurance was measured using the plank test. The performances of the participants in both tests were recorded and subjected to statistical analysis. Pearson correlation analysis and multiple regression models were used to examine the relationships among BMI, dynamic balance, and core muscle endurance. The findings indicated that an increase in BMI has adverse effects on balance and core muscle endurance performance. Specifically, firefighter candidates with higher BMI values exhibited shorter plank durations (females: r=-0.63; p=0.002, males: r=-0.566; p

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The Relationship Between Training Volume and BMI in the Expression of Running Performance in Runners: A Mediation Model

Cited by 3 publications

References 35 publications

Differences in training characteristics of recreational endurance runners by race distance – results from the NURMI Study (Step 2)

Differences in training characteristics of recreational endurance runners by race distance – results from the NURMI Study (Step 2)

Beyond the border of the athlete-centered approach: a model to understand runners' performance

Relationship between Body Mass Index, Dynamic Balance, and Core Muscle Endurance in Firefighter Candidates: A Cross-Sectional Study

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