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Energetics as a driver of human morphological thermal adaptation; evidence from female ultra-endurance athletes

Published online by Cambridge University Press:  29 March 2021

Daniel P. Longman Open the ORCID record for Daniel P. Longman [Opens in a new window] ,
Alison Murray ,
Rebecca Roberts Open the ORCID record for Rebecca Roberts [Opens in a new window] ,
Saskia Oakley ,
Jonathan C. K. Wells  and
Jay T. Stock
Daniel P. Longman*
Affiliation:
School of Sport, Health and Exercise Sciences, Loughborough University, LoughboroughLE11 3TU, UK
Alison Murray
Affiliation:
Department of Anthropology, University of Victoria, British Columbia, Canada
Rebecca Roberts
Affiliation:
Department of Archaeology, University of Cambridge, CambridgeCB2 3QG, UK
Saskia Oakley
Affiliation:
Department of Archaeology, University of Cambridge, CambridgeCB2 3QG, UK
Jonathan C. K. Wells
Affiliation:
Childhood Nutrition Research Centre, Population, Policy and Practice Research and Teaching Programme, UCL Great Ormond Street Institute of Child Health, LondonWC1N 1EH, UK
Jay T. Stock
Affiliation:
Department of Archaeology, University of Cambridge, CambridgeCB2 3QG, UK Department of Anthropology, Western University, Ontario, Canada Department of Archaeology, Max Planck Institute for the Science of Human History, Kahlaische Strasse 10, D-07745Jena, Germany
*
*Corresponding author. E-mail: D.Longman@Lboro.ac.uk

Abstract

Functional benefits of the morphologies described by Bergmann's and Allen's rules in human males have recently been reported. However, the functional implications of ecogeographical patterning in females remain poorly understood. Here, we report the findings of preliminary work analysing the association between body shape and performance in female ultramarathon runners (n = 36) competing in hot and cold environments. The body shapes differed between finishers of hot and cold races, and also between hot race finishers and non-finishers. Variability in race performance across different settings supports the notion that human phenotype is adapted to different thermal environments as ecogeographical patterns have reported previously. This report provides support for the recent hypothesis that the heightened thermal strain associated with prolonged physical activity in hot/cold environments may have driven the emergence of thermally adaptive phenotypes in our evolutionary past. These results also tentatively suggest that the relationship between morphology and performance may be stronger in female vs. male athletes. This potential sex difference is discussed with reference to the evolved unique energetic context of human female reproduction. Further work, with a larger sample size, is required to investigate the observed potential sex differences in the strength of the relationship between phenotype and performance.

Keywords

PhenotypeadaptationBergmann's RuleAllen's Ruleecogeographical patterningmorphology
Type
Research Article
Information
Evolutionary Human Sciences , Volume 3 , 2021 , e22
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Evolutionary Human Sciences

Introduction

The ability to regulate core body temperature is a challenge that all endotherms must confront. Ecologists have long drawn insight from Bergmann's and Allen's ‘ecological rules’, which predict patterns of intra- and inter-species phenotypic variation in relation to the temperature of their environment (Allen, Reference Allen1887; Bergmann, Reference Bergmann1847). In cold climates, endotherms are proposed to be larger (Bergmann's Rule) and to exhibit shorter limbs and body appendages (Allen's Rule) compared with those found in hot climates. Both rules are based on fundamental thermodynamic principles whereby heat is produced through cellular activity in proportion to body mass, and heat is lost by radiation, convection and evaporation in proportion to surface area. Surface area increases as a square function of the linear dimension while mass increases as a cubic function, so increasing body size leads to a larger mass-to-surface area ratio. Large body sizes and relatively shorter limbs thereby provide an increased heat-producing cellular mass relative to heat-losing surface area, which is thermally advantageous in cold conditions. The inverse morphology is beneficial in hot conditions, where a reduced mass-to-surface area ratio is favoured.

Phenotypic variation consistent with Bergmann's and Allen's Rules has been observed in both extinct and extant hominin species (Crognier, Reference Crognier1981; Foster & Collard, Reference Foster and Collard2013; Hiernaux, Reference Hiernaux1968; Hiernaux & Fromont, Reference Hiernaux and Fromont1976; Holliday, Reference Holliday1997; Holliday & Trinkaus, Reference Holliday and Trinkaus1991; Ruff, Reference Ruff1994; Stinson, Reference Stinson1990; Tilkens et al., Reference Tilkens, Wall-Scheffler, Weaver and Steudel-Numbers2007; Trinkaus, Reference Trinkaus and Stringer1981). Mean annual temperature has been shown to vary negatively with body mass (Roberts, Reference Roberts1953) and positively with leg length in humans (Roberts, Reference Roberts1973, Reference Roberts1978). In addition to absolute size, body composition also varies with temperature, with greater abundance of heat-producing lean mass and adiposity being associated with cold conditions in both sexes (Wells, Reference Wells2012). However, variability in size and shape also has implications for other functions, as we now discuss.

The interaction between physical activity, thermoregulation and morphology

Physical activity, and endurance running in particular, may have contributed significantly to human evolution. As described by the endurance running hypothesis, a suite of human traits can be considered as adaptations enhancing long-distance running ability (Carrier, Reference Carrier1984), which in turn aided scavenging and hunting (Bramble & Lieberman, Reference Bramble and Lieberman2004; Lieberman et al., Reference Lieberman, Bramble, Raichlen, Shea, Grine, Fleagle and Leakey2006).

While most research considering the applicability of Bergmann's and Allen's Rules to humans has been directed to external climatic sources of thermal stress, the influence of internal heat production through physical activity also merits consideration. Energetic conversion from chemical to kinetic forms during muscular contraction is inefficient, and leads to substantial amounts of heat being produced when an individual is physically active (Convertino et al., Reference Convertino, Armstrong, Coyle, Mack, Sawka, Senay and Sherman1996; Hawley et al., Reference Hawley, Hargreaves, Joyner and Zierath2014). This is particularly true for males, who tend to have a higher muscle mass (Welle et al., Reference Welle, Tawil and Thornton2008) and generate more heat than females when exercising at a defined intensity (Gagnon et al., Reference Gagnon, Jay, Lemire and Kenny2008). This has significant implications for thermoregulation during physical activity. In cold conditions, heat generated during periods of activity contributes towards the maintenance of core body temperature. This has the effect of reducing the potential metabolic cost of thermoregulation. Conversely, in hot conditions, heat generated by contracting muscles enhances the thermoregulatory burden and risk of hyperthermia (Ocobock, Reference Ocobock2016a; Raynaud et al. Reference Raynaud, Martineaud, Bhatnagar, Vieillefond and Durand1976; Rivera-Brown et al., Reference Rivera-Brown, Rowland, Ramírez-Marrero, Santacana and Vann2006).

The thermoregulatory burden of physical activity in extreme environments was evident in our recent investigation, reporting the first evidence of functional benefits conferred by thermally adapted morphologies (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Male athletes competing in ultramarathon competitions who exhibited a greater degree of correspondence between phenotype and race conditions, according to the predictions of ecogeographic rules, were more likely to successfully complete a race in thermally challenging environments than those with morphologies less well suited to the conditions (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). We suggested that morphologies consistent with Bergmann's and Allen's Rules may reduce the metabolic burden of active thermoregulation, thereby allowing a greater energetic allocation to running, enhancing athletic performance in any given environment. This may be achieved in cold environments by reducing the sizeable metabolic costs imposed by active thermoregulation (Hill et al., Reference Hill, Muhich and Humphries2013; Nagy, Reference Nagy2005; Tilkens et al., Reference Tilkens, Wall-Scheffler, Weaver and Steudel-Numbers2007), and in hot conditions by facilitating greater total energy expenditure by increasing capacity to dissipate heat and avoid hyperthermia (Speakman, Reference Speakman2010). However, the functional implications of ecogeographical patterning in females remain poorly understood.

A sex difference in thermoregulatory stress during physical activity?

In contrast to many animal species, humans exhibit significant sexual dimorphism not only in body size but also in body composition, with males tending to have greater lean mass and lower fat mass relative to body weight than females (Wells, Reference Wells2007). This has potential implications for the heat stress conferred by physical activity in hot/cold environments, as both tissues make important contributions to thermoregulation (Garby et al., Reference Garby, Garrow, Jørgensen, Lammert, Madsen, Sørensen and Webster1988).

Skeletal muscle is a key thermogenic tissue, capable of generating significant amounts of heat when active (González-Alonso, Reference González-Alonso2012; Pant et al., Reference Pant, Bal and Periasamy2016; Rowland et al., Reference Rowland, Bal and Periasamy2015). In cold conditions skeletal muscle promotes thermal balance when active through heat production, providing protection from heat loss and cold injury (Payne et al., Reference Payne, Macintosh and Stock2018). When inactive and vasoconstricted, muscle provides a substantial layer of insulation between the core and skin surface (60–80% in lean subjects). The insulative properties of muscle decrease markedly upon activation, falling to 10–20% of maximal insulation value (Rennie, Reference Rennie1988).

Adipose tissue stores energy for maintaining core body temperature in cold conditions (Cannon & Nedergaard, Reference Cannon and Nedergaard2004; Nedergaard et al., Reference Nedergaard, Bengtsson and Cannon2007), particularly thermogenic abdominal fat (Beall & Goldstein, Reference Beall and Goldstein1992). The general pattern for increased muscularity and adiposity of populations exposed to cold stress (Craig et al., Reference Craig, Halavatau, Comino and Caterson2001; Gnaiger et al., Reference Gnaiger, Boushel, Søndergaard, Munch-Andersen, Damsgaard, Hagen and Hesselink2015; Houghton, Reference Houghton1990; Jones & White, Reference Jones and White1994; Piers et al., Reference Piers, Rowley, Soares and O'Dea2003) highlights the thermal properties of skeletal muscle and adipose tissue (McArdle et al., Reference McArdle, Magel, Spina, Gergley and Toner1984). The insulating role of fat has not been definitively demonstrated and remains questionable. For example, historical data from the most northerly population in the world (the Greenland Thule) showed very low skinfold thicknesses (Gilberg, Jørgensen, & Laughlin, Reference Gilberg, Jørgensen and Laughlin1975), and a study of female Korean cold-water divers revealed reduced subcutaneous fat in relation to other Korean women (Rennie et al., Reference Rennie, Covino, Howell, Song, Kang and Hong1962). However, experimental evidence suggests that fat does have insulating properties, and that the degree of insulation conferred by subcutaneous adiposity varies negatively with blood flow to the skin (Burse, Reference Burse1979; Havenith, Reference Havenith1997; Havenith et al., Reference Havenith, Coenen, Kistemaker and Kenney1998). Given the heat-producing and potentially insulating qualities of muscle and fat tissue, one might expect individuals with low lean and fat mass to experience lower thermal strain in hot conditions.

Such sexually dimorphic morphological features are believed to have arisen from the unique energetic context of human female reproduction. Human females store energy in advance to allow the funding of reproduction irrespective of dietary energy availability (Jönsson, Reference Jönsson1997). Prior to reproduction, fat is stored predominantly in the gluteo-femoral region, with further fat stores accumulated during pregnancy. Both pregnancy and lactation require the mother to provide a steady source of nutrition for her offspring to meet a metabolic demand heightened by the evolution of the enlarged brain (Holliday, Reference Holliday1971). While fetal growth is energetically funded primarily from maternal glucose dynamics, fat accumulation during pregnancy stores energy to support infant nutrition through lactation (Wells, Reference Wells2018). This, in turn, favours higher levels of body fat in females relative to males.

The current study

The current study recruited female participants in multiday ultramarathon competitions in hot and cold climates to investigate the relationship between body shape and endurance running performance in thermally challenging environments. This study was part of a wider body of research recruiting athletes as a model to investigate evolutionary theory (Longman et al., Reference Longman, Wells and Stock2015, Reference Longman, Stock and Wells2017a, Reference Longman, Surbey, Stock and Wells2018). This approach was adopted by the ADaPt Project, which utilised ultra-endurance athletic events to investigate life history trade-offs (Longman et al., Reference Longman, Prall, Shattuck, Stephen, Stock, Wells and Muehlenbein2017b).

Multiday ultra-endurance contests impose high locomotor energetic demands. Even in the absence of physical activity, thermoregulation is a metabolically expensive process (Hill et al., Reference Hill, Muhich and Humphries2013). Experimental work with lizards demonstrated a trade-off between thermoregulation and growth rate (Brewster et al., Reference Brewster, Sikes and Gifford2013). Although not an efficient long-term physiological solution to cold exposure, human shivering causes the metabolic rate to increase by a factor of 5–6 compared with resting levels (Glickman et al., Reference Glickman, Mitchell, Keeton and Lambert1967; Iampietro et al., Reference Iampietro, Vaughn, Goldman, Kreider, Masucci and Bass1960; Keatinge et al., Reference Keatinge, Coleshaw, Millard and Axelsson1986; Parsons, Reference Parsons2003). In hot conditions, basal metabolic has been shown to increase when the environment is humid, but decrease when it is dry and sweating is effective (Chinevere et al., Reference Chinevere, Cadarette, Goodman, Ely, Cheuvront and Sawka2008; Hori, Reference Hori1995; Osiba, Reference Osiba1957; Shapiro et al., Reference Shapiro, Pandolf, Avellini, Pimental and Goldman1980).

Here, it is expected that the performance of female endurance athletes competing in hot and cold environments will correspond with thermally ‘adaptive’ body types, serving to minimise thermal strain by preserving and dissipating heat in cold and hot environments respectively. We recently reported similar trends in male runners (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Irrespective of sex, all athletes had to overcome the thermoregulatory challenges associated with completing the same racecourse in the same environment. Female athletes exhibiting a greater degree of morphological thermal adaptation are expected to have a reduced thermoregulatory metabolic burden (Tilkens et al., Reference Tilkens, Wall-Scheffler, Weaver and Steudel-Numbers2007), allowing for greater energetic allocation towards running and enhanced performance.

It is hypothesised that:

  1. (1) Female athletes who successfully complete ultramarathons in hot conditions will exhibit heat-adapted morphologies relative to those who successfully complete ultramarathons in cold conditions.

  2. (2) Female athletes who successfully complete a hot-condition ultramarathon will exhibit heat-adapted morphologies relative to athletes who fail to complete the same race.

In addition, we aimed to collect preliminary evidence to begin to determine whether there is a sex difference in the relationship between performance and morphology (using comparative data previously reported in Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019).

Methods

Experimental design

Female (n = 36) and male (n = 88) athletes were tested at ultramarathon races across hot (the 2016 Jungle Ultra, Peru, and the 2016 and 2017 Al Andalus Ultimate Trail, Spain) and cold (2016 Rovaniemi150, Finland, and the 2016 Everest Trail Race, Nepal) climatic conditions. All but one of the athletes were of European ancestry and travelled to the country hosting the event. Except for the Finland event, which was continuous, the remaining three events employed a similar format of five or six consecutive daily stages with an overnight rest in between. An overview of the races can be seen in Table 1.

Table 1. Overview of the four ultramarathons (taken from Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019)

*Athletes were able to complete the Rovaniemi150 on foot, on skis or by bike. Only runners were included in this analysis.

Tables 2 and 3 provide a description of the sample cohort by competition and condition, as well as race completion times by condition.

Table 2. Descriptive characteristics for all participating athletes, split by competition (male data replicated from Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019)

Asterisks indicate a significant sex difference (* p < 0.05, ** p < 0.01, *** p < 0.001) between the male and female athlete cohort as a whole.

Table 3. Mean and standard deviations of the race time of finishers in hot and cold condition races (male data replicated from Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019)

Anthropometrics

Previously studies have used a variety of measures to assess Bergmann's Rule, including body mass, height, body mass index (BMI) and ponderal index, as well as hip and waist circumferences (Foster & Collard, Reference Foster and Collard2013; Ruff, Reference Ruff1994). There is currently no consensus regarding which specific variables should be used to consider the relationship between morphology and environmental temperature (Foster & Collard, Reference Foster and Collard2013). In this study, each of these measures was taken to examine the relationship between body size and race condition (circumferences were preferred to bi-iliac breadth owing to perceived superior accuracy).

Stature was measured to the nearest 0.1 cm using a Leicester stadiometer. Body mass (kg) was measured to the nearest 0.1 kg (Seca, Hamburg, Germany). Waist and hip circumferences (cm) and sitting height (cm) were measured according to the standards in the International Standards for Anthropometric Assessment (2001). An index of leg length was obtained by subtracting sitting height from stature, and relative leg length was obtained by dividing leg length by stature. Body mass index was calculated as body mass (kg) divided by the square of stature (m). Ponderal index was calculated as body mass (kg) divided by the cube of stature (m).

Defining athletes’ performance

Athletes’ performance within each race was defined using the method reported in Longman et al. (Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Athletes were categorised as finisher or non-finisher. Finishers were those who completed the full race distance within the time limits set by race organisers, whereas non-finishers did not.

The process of heat acclimatisation can provide short-term biological adaptations acting to reduce the negative effects of heat stress. Improvements in factors such as cardiovascular stability, fluid-electrolyte balance, sweating and skin surface blood flow promote submaximal and maximal aerobic performance in hot conditions (see Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Analysis of questionnaire data (which detailed athletes’ pre-race acclimatisation) found only two female athletes who could be categorised as heat-acclimatised, and none who could be considered cold-acclimatised (Pandolf, Reference Pandolf1998; Sawka et al., Reference Sawka, Castellani, Cheuvront, Farrell, Joyner and Caiozzo2012), and there were no significant differences in the morphologies between the heat-adapted and non-heat-adapted cohorts.

Statistical analysis

One-way analysis of covariance (ANCOVA, controlling for age) was used to identify any statistically significant differences between athletes who finished races in both conditions, and between athletes who did and did not finish races in hot conditions. To address Hypothesis 2, data were collected from two consecutive editions of the Spain ultra-endurance event in order to obtain a sample size allowing this analysis. Owing to sample size constraints, it was not possible to do the same for cold conditions. Graphs were produced by expressing differences between groups as a percentage (the group-difference in natural log-transformed values of each measure was multiplied by 100%). In order to assess differences between athletes who did and did not finish the Spain event, one-way analysis of covariance (ANCOVA, again controlling for age) was used.

Independent samples t-tests (one-tailed) were performed to test for sex differences in the baseline variables. The data was checked for normality and homogeneity of variance, and all data met parametric assumptions. Consistent with previous reports of an age effect on endurance running performance (Cejka et al., Reference Cejka, Nechtle, Rust, Roseman and Lepers2015; Hoffman & Fogard, Reference Hoffman and Fogard2011; Hunter et al., Reference Hunter, Stevens, Magennis, Skelton and Fauth2011; Rüst et al., Reference Rüst, Knechtle, Rosemann and Lepers2013, Reference Rüst, Zingg, Rosemann and Knechtle2014), race finishers were significantly younger than those who did not finish (41.1 ± 9.21 vs. 52.4 ± 6.79 years, t(34) = −3.512, p = 0.001). Consequently, age was controlled for in subsequent analyses. We also controlled for the potential confounding effect of altitude on performance (using the mean average of total ascent and descent).

In addition, multiple linear regression was performed to further analyse morphological differences between athlete groups, and a logistic regression was performed to determine the effects of morphological variables on the likelihood that an athlete finished the race. SPSS v25 was used for all analyses, with a significance benchmark of 0.05.

This project was granted ethical approval by the University of Cambridge Human Biology Ethics Committee (HBREC.2016.14). Written informed consent was obtained, and all methods were carried out in accordance with the relevant guidelines and regulations. Data will be made available via Loughborough University's online Research Repository.

Results

Hypothesis 1: Female athletes who successfully completed ultramarathons in hot conditions will exhibit heat-adapted phenotypes (lower body mass, lower BMI, longer leg lengths) relative to those who successfully completed ultramarathons in cold conditions.

Comparison of the morphologies of all race entrants (irrespective of whether they finished their race) in hot-condition races with those in cold-condition races found that although there were no significant differences in either weight or BMI, significant differences in relative leg length (hot 48.9 ± 1.2% vs. cold 47.6 ± 0.7%, F(1,35) = 10.511, p = 0.003) suggest that there may have been a degree of self-selection to race choice, perhaps based on perceptions of differential ability in the hot and cold as well as prior experience.

The morphology of race finishers in hot vs. cold conditions was compared using one-way ANCOVA, controlling for age and total ascent/descent over the race. Female finishers of hot-condition races (n = 18) had lower weights and lower BMIs than those who finished a cold-condition race (n = 8) (weight hot 59.3 ± 6.4 kg vs. cold 67.1 ± 8.1 kg, F(1,22) = 4.652, p = 0.042; BMI hot 21.8 ± 2.0 vs. cold 24.2 ± 1.6, F(1,22) = 10.006, p = 0.005). Furthermore, female athletes who finished a hot-condition race had greater relative leg lengths than those who finished a cold-condition race (hot 49.0 ± 1.3 vs. cold 47.6 ± 0.7, F(1,23) = 12.321, p = 0.002). These results persisted following Bonferroni corrections and were consistent with both Allen's and Bergmann's Rules. These results are summarised in Figure 1.

Figure 1. Percentage differences in anthropometric traits between race finishers in hot and cold conditions. Negative values reflect the variable being greater in cold-condition finishers than hot-condition finishers. P-values are provided for statistically significant differences.

Multiple linear regression was performed to further analyse morphological differences between athlete groups. Predictors were race type (hot and cold), finishing status (finisher and non-finisher) and the interaction between race type and finishing, while also controlling for age and total ascent/descent.

Considering BMI, a significant regression equation was found, (F(5,30) = 3.287, p = 0.017), with an R 2 of 0.354. The interaction between race type and finishing status significantly predicted BMI, such that, taking into account overall associations with race type and finishing status, BMI was 4.2 kg/m2 lower in finishers of hot races compared with finishers of cold races (t = −2.055, p = 0.049). The other variables did not independently predict BMI.

The same pattern was evident for sitting height – a significant regression equation (F(5,30) = 2.156, p = 0.048), with an R 2 of 0.259. The interaction between race type and finishing status significantly predicted sitting height, which was 8.6 cm greater in finishers of hot races compared with finishers of cold races (t = −2.670, p = 0.012).

Additionally, the interaction between race type and finishing status was a significant predictor of both sitting height (8.8 cm greater in finishers of hot races, t = −2.676, p = 0.012) and waist circumference (13.6 cm lower in finishers of hot races, t = −2.214, p = 0.034). The interaction between race type and finishing status did not predict other morphological variables.

Hypothesis 2: Female athletes who successfully complete a hot-condition ultramarathon will exhibit heat-adapted morphologies relative to athletes who failed to complete the same race.

Data were collected from two consecutive editions of the Spain ultra-endurance event in order to obtain a sample size allowing this analysis. The same race was used twice to test Hypothesis 2 in order to standardise the race route, and to minimise differences in weather conditions. This within-condition analysis was not performed for cold-condition events owing to the smaller available sample size. As race finishers were significantly younger than those who did not finish (44.8 ± 8.4 vs. 53.3 ± 8.1 years, t(18) = −2.185, p = 0.042), the second hypothesis was assessed using a one-way ANCOVA, controlling for age.

Female finishers were significantly lighter (59.2 ± 7.2 vs. 66.4 ± 5.0 kg, F(1,17) = 5.488, p = 0.032) and had lower BMIs (21.4 ± 2.20 vs. 24.1 ± 1.43 kg/m2, F(1,17) = 6.896, p = 0.018), lower ponderal indices (12.9 ± 1.47 vs. 14.5 ± 1.1, F(1,17) = 5.568, p = 0.031), smaller waists (72.3 ± 5.6 vs. 78.1 ± 2.9 cm, F(1,17) = 8.593, p = 0.009) and smaller hips (95.4 ± 6.2 vs. 100.6 ± 2.5 cm, F(1,17) = 5.834, p = 0.027) than non-finishers (see Figure 2).

Figure 2. Natural log transformation of the differences between finishers and non-finishers in a hot environment. Negative values reflect the variable being greater in cold-condition finishers than hot-condition finishers. P-values are provided for statistically significant differences.

A logistic regression was performed to determine the effects of morphological variables on the likelihood that an athlete finished the race. Controlling for age and when entered into the model independently of each other, weight (exp(B) = 0.837, p = 0.041), BMI (exp(B) = 0.487, p = 0.024), waist circumference (exp(B) = 0.693, p = 0.041) and hip circumference (exp(B) = 0.740, p = 0.035) were all statistically significant predictors, with higher values in each metric being associated with a lower likelihood of finishing a hot condition race. When all four measurements were added simultaneously, none of them remained significant; greater values therefore predict likelihood of finishing, but we cannot state which of the various measurements is key to this relationship.

Preliminary exploratory analysis: Is there a sex difference in the relationship between performance and morphology.

The relationship between thermally adapted body shape performance appeared, tentatively, to be more pronounced in female than male athletes (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). The associations between female morphology and performance were more pronounced, and achieved statistical significance for measures of both Bergmann's (weight, BMI, hip circumference, waist circumference and ponderal index) and Allen's Rules (relative leg length). In contrast, the relationship between male morphology and performance only achieved statistical significance in measures relating to Allen's Rule (leg length and relative leg length), and not Bergmann's Rule. These results are summarised in Table 4. However, the sample size was too small at this stage to subject the sex comparison to a formal sex-interaction test.

Table 4. Morphological characteristics of hot race finishers relative to (a) cold race finishers and (b) hot race non-finishers). Bold text signifies statistically significant differences between athletes

Discussion

The performance of female endurance athletes competing in hot and cold environments was associated with thermally beneficial body shapes. Controlling for age and racecourse elevation change, female finishers of hot-condition ultramarathons had longer legs, lower weights and lower BMIs than finishers of cold-condition events (Hypothesis 1). Furthermore, the finishers of hot-condition events had lower BMIs, hip circumferences, waist circumferences and ponderal indices, and longer legs, than athletes who failed to complete the same hot-condition events (Hypothesis 2). Energy and thermoregulation are interconnected, such that the increase in work necessary to transport a larger body around a race course results in greater heat production. This will decrease thermoregulatory strain in cold conditions, and increase it in hot conditions (Ocobock, Reference Ocobock2016b).

Prolonged physical exertion as a driver of morphological thermal adaptation

This study observed that female athletes with thermally adapted morphologies tended to out-perform those without such adaptations in thermally challenging environments. This provides support for the suggestion that, as exercise increases the pressures imposed by the thermal environment, the interaction between environment and endurance activity increased the strength of selection for temperature-adapted morphologies (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Physical activity in extreme temperatures places stress on the thermoregulatory system, increasing the demand for heat loss/retention (although physical activity in cold climates can reduce the energy demands of thermogenesis; Ocobock, Reference Ocobock2016a). This amplifies a significant selective force which could have led to the emergence of the morphologies described by Bergmann's (Reference Bergmann1847) and Allen's (Reference Allen1887) Rules, as opposed to adaptation to the environment allowing for subsequent physical activity (see Figure 3). The potential mechanisms underpinning morphological climatic variation are unclear, and are discussed in more detail in our recent paper (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019).

Figure 3. The selective pressure for the generation of thermally adapted morphologies arises from prolonged physical activity in thermally challenging environments. Taken from (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019).

Are sex differences indicative of sex-specific evolutionary energetic trajectories?

Our results were consistent with the patterns we have previously reported in male runners (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). Irrespective of sex, all athletes had to overcome the thermoregulatory challenges associated with completing the same racecourse in the same environment. Owing to the high energetic costs of active thermoregulation (Hill et al., Reference Hill, Muhich and Humphries2013; Nagy, Reference Nagy2005), greater correspondence between phenotype and race conditions according to the predictions of ecogeographic rules was hypothesised to promote athletic performance owing to the possibility for increased energy availability for locomotion.

Our preliminary work shows that female athletes appeared to show stronger associations between shape and performance. Although both male and female performance exhibited trends consistent with Bergmann's and Allen's rules, the relationship appeared to be more pronounced in female than male athletes. Despite the smaller sample size, the female subgroup revealed a greater number of statistically significant associations, spanning both Bergmann's (weight, BMI, hip circumference, waist circumference and ponderal index) and Allen's (relative leg length) Rules. In contrast, the only statistically significant relationships between male morphology and performance related to Allen's Rule (leg length and relative leg length) (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019). These results suggest that climate-adaptive morphologies may promote endurance performance in female athletes to a greater degree than in male athletes. The relative thermoregulatory homeostatic restraints experienced by female athletes, which may stem from reduced muscle mass and increased adiposity, may have led to this closer relationship between morphology and performance. It is important to note, however, that the sample size did not allow for statistical analysis of this difference. Our suggestion of a sex difference is preliminary and requires further investigation.

Unlike many animal species, humans exhibit significant sexual dimorphism in body composition. In addition to being approximately 7% taller (Gustafsson & Lindenfors, Reference Gustafsson and Lindenfors2004) and having increased bone mineral content relative to females (Maynard et al., Reference Maynard, Guo, Chumlea, Roche, Wisemandle, Zeller and Siervogel1998), males tend to have greater lean mass and lower relative fat mass (although similar in absolute mass) (Wells, Reference Wells2007). These differences have implications for thermoregulation during physical activity in thermally challenging environments. Sex differences in thermoregulatory responses to cold conditions arise primarily from variation in anthropometry and body composition (Castellani & Young, Reference Castellani and Young2016). We speculate that this may relate to the high costs of fat and lean mass during exercise. Although females tend to have more subcutaneous fat than males, lower average lean tissue mass reduces capacity for heat generation, leading to more rapid net heat loss in severely cold conditions (McArdle et al., Reference McArdle, Magel, Spina, Gergley and Toner1984). In contrast, sex differences in the thermoregulatory response to hot conditions may be attributable to sexual dimorphism unrelated to differences in body composition. Lower female thermosensitivity in the whole-body sudomotor response when hot (Gagnon & Kenny, Reference Gagnon and Kenny2011), combined with reduced sweat gland output at high exercise intensity (Gagnon & Kenny, Reference Gagnon and Kenny2012), may result in a reduced capacity to dissipate heat by sweating.

An adaptive perspective, considering dimorphism in sex-specific evolutionary trajectories relating to energetic biology, may further explain the potential sex difference identified in this investigation. Pregnancy and lactation require the mother to provide a steady source of nutrition for her offspring (Cunnane & Crawford, Reference Cunnane and Crawford2003). During this key developmental phase, the neonate is particularly vulnerable to interruptions in energy supply (Cunnane & Crawford, Reference Cunnane and Crawford2003). While fetal growth is energetically funded primarily from maternal glucose dynamics, fat accumulation both before and during pregnancy ring-fences energy for the infant's development. This became necessary in the Homo lineage upon the evolution of an enlarged brain, which brought an increased metabolic demand, particularly in infancy (Kuzawa et al., Reference Kuzawa, Chugani, Grossman, Lipovich, Muzik, Hof and Lange2014). By accumulating fat tissue, the mother can uncouple the baby's energy supply from ecological fluctuations, promoting her own fitness. Consequently, the increased adiposity of human females in comparison with males is indicative of the important role played by reproductive energetics in our evolutionary past (Wells, Reference Wells2006). It is known that the selective pressures that favoured female adiposity in order to nourish large-brained infants may thereby have led to sexual dimorphic body composition, causing greater sensitivity to thermal stress. This may provide an explanation for the sex differences in the relationship between ultra-endurance performance and thermally adapted morphologies observed in this study.

Sexual dimorphism in body size, composition and sudomotor response suggest that males and females may differ in terms of the magnitude of homeostatic response to thermal stress when performing physical activity in hot and cold environments. In order to achieve thermal homeostasis when performing endurance activity in hot and cold environments, we predict that selective pressures acting on maternal energetics drive broader patterns of thermal adaptation within our species. As a result, ecogeographical morphological adaptation may play a more significant role in female than male athletes. While we observed differences in thermoregulation between males and females, this forms only one component of the myriad physiological variations underpinning performance.

Although significant, thermoregulation is only one biological process contributing to ultramarathon performance. Sex differences are also apparent regarding metabolism, with female physiology potentially providing a number of advantages. For example, at a given exercise intensity, female athletes may utilise proportionately more fat and less carbohydrate then male athletes (see Deaner et al., Reference Deaner, Carter, Joyner and Hunter2015). Further, female athletes are generally less susceptible to muscle glycogen depletion, and are less fatigable than males when performing sustained and intermittent isometric contractions at a similar intensity (Hunter, Reference Hunter2014).

It is important to note that the female sample size included within this study is relatively small, and did not allow for a statistical analysis of any sex differences that may be present. Further work, with larger sample sizes, is required to explore this difference in more detail. Although female participation in ultra-endurance athletic events has traditionally been lower than male participation (Knechtle et al., Reference Knechtle, Knechtle and Lepers2011), this is changing, and in the coming years it will be possible to build a larger database of female competitors. However, despite the small sample size, we observed stronger associations in females. Our findings may therefore be considered conservative, as the larger sample size in males increased the chances of obtaining significant findings.

A larger female sample size would allow for investigation of the influence of menstrual cycle phase on the relationship between endurance performance and morphology. The menstrual cycle is accompanied by rhythmic changes in core body temperature, believed to be driven by fluctuations in reproductive hormones. Both at rest and during exercise, estrogen and progesterone influence body temperature and thermoregulation. During the preovulatory follicular phase, estrogen promotes vasodilation, heat dissipation and a lower body temperature during exercise. During the mid-luteal phase, elevated progesterone levels have the opposite effect (Stephenson & Kolka, Reference Stephenson and Kolka1999). Although it has not yet been demonstrated, the effects of estrogen in reducing the thermoregulatory set point may decrease the risk of hyperthermia, while during the mid-luteal phase the progesterone-induced elevation of core body temperature enhances risk (Charkoudian & Stachenfeld, Reference Charkoudian and Stachenfeld2014).

Care was taken in selecting a series of ultramarathons which would represent as wide a range of environmental conditions as possible (Foster & Collard, Reference Foster and Collard2013), whilst keeping factors such as duration and distance consistent. While we were able to control for elevation change during each race (as measured by total ascent and descent), we were unable to control for average altitude as this data was not available.

Conclusions

To conclude, thermally advantageous body types were associated with better performance among female ultramarathon runners competing in thermally challenging environments. Phenotypic variation corresponding with predictions based upon ecogeographic rules (Allen, Reference Allen1887; Bergmann, Reference Bergmann1847) was identified in the finishers of hot-condition events in comparison with the finishers of cold-condition events, and in the finishers of hot-condition events relative to non-finishers. This provides support for the hypothesis that a heightened pressure for thermal balance stemming from prolonged physical activity in hot/cold environments drove the emergence of thermally adaptive morphologies (Longman et al., Reference Longman, Macintosh, Roberts, Oakley, Wells and Stock2019).

Furthermore, a possible sex difference exists in the strength of the relationship between body shape and performance. We speculate that this may relate to sex differences in thermoregulatory pressure in such environments. Sex differences in thermoregulatory capacity may stem from differential selective forces in our evolutionary past, arising from the need for female fat accumulation to buffer infant energy supply from ecological fluctuations.

Acknowledgements

The authors wish to thank the organisers of each of the ultramarathons for facilitating this data collection, and the athletes who agreed to participate in this research.

Author contributions

DL, JTS and JCKW conceived and designed the study. DL and RR planned the logistics of data collection. DL, AM and RR conducted data collection. DL and SO performed data analysis. DL wrote the article with input from JTS, JCKW, AM, RR and SO.

Publishing ethics

The authors support the publishing ethics of Evolutionary Human Sciences, and this manuscript conforms to those ethics.

Conflict of interest

None.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Allen, J. (1887). The influence of physical conditions in the genesis of species. Radical Review, 1, 108.Google Scholar
Beall, C., & Goldstein, M. (1992). High prevalence of excess fat and central fat patterning among Mongolian pastoral nomads. American Journal of Human Biology, 4(6), 747–756.CrossRefGoogle ScholarPubMed
Bergmann, C. (1847). Increase in the effectiveness of heat conservation in large subjects. Gottinger Studien, 3, 595–708.Google Scholar
Bramble, D., & Lieberman, D. (2004). Endurance running and the evolution of Homo. Nature, 432(7015), 345–352. https://doi.org/10.1038/nature03052CrossRefGoogle ScholarPubMed
Brewster, C., Sikes, R., & Gifford, M. (2013). Quantifying the cost of thermoregulation: Thermal and energetic constraints on growth rates in hatchling lizards. Functional Ecology, 27(2), 490–497. https://doi.org/10.1111/1365-2435.12066CrossRefGoogle Scholar
Burse, R. (1979). Sex differences in human thermoregulatory response to heat and cold stress. Human Factors, 21(6), 687–699.CrossRefGoogle ScholarPubMed
Cannon, B., & Nedergaard, J. (2004). Brown adipose tissue: Function and physiological significance. Physiological Reviews, 84(1), 277–359.CrossRefGoogle ScholarPubMed
Carrier, D. R. (1984). The energetic paradox of human running and hominid evolution. Current Anthropology, 25(4), 483–495.CrossRefGoogle Scholar
Castellani, J., & Young, A. (2016). Human physiological responses to cold exposure: Acute responses and acclimatization to prolonged exposure. Autonomic Neuroscience: Basic and Clinical, 196, 63–74. https://doi.org/10.1016/j.autneu.2016.02.009CrossRefGoogle ScholarPubMed
Cejka, N., Nechtle, B., Rust, C., Roseman, T., & Lepers, R. (2015). Performance and age of the fastest female and male 100-km ultramarathoners worldwide from 1960 to 2012. Journal of Strength and Conditioning Research, 29(5), 1180–1190.CrossRefGoogle ScholarPubMed
Charkoudian, N., & Stachenfeld, N. (2014). Reproductive hormone influences on thermoregulation in women. Comprehensive Physiology, 4, 793–804. https://doi.org/10.1002/cphy.c130029CrossRefGoogle ScholarPubMed
Chinevere, T., Cadarette, B., Goodman, D., Ely, B., Cheuvront, S., & Sawka, M. (2008). Efficacy of body ventilation system for reducing strain in warm and hot climates. European Journal of Applied Physiology, 103(3), 307–314. https://doi.org/10.1007/s00421-008-0707-9CrossRefGoogle ScholarPubMed
Convertino, V., Armstrong, L., Coyle, E., Mack, G., Sawka, M., Senay, L. Jr, & Sherman, W. (1996). American College of Sports Medicine position stand. Exercise and fluid replacement. Medicine and Science in Sports and Exercise, 28, i–vii.CrossRefGoogle ScholarPubMed
Craig, P., Halavatau, V., Comino, E., & Caterson, I. (2001). Differences in body composition between Tongans and Australians: time to rethink the healthy weight ranges? International Journal of Obesity, 25(12), 1806.CrossRefGoogle ScholarPubMed
Crognier, E. (1981). Climate and anthropometric variations in Europe and the Mediterranean area. Annals of Human Biology, 8(2), 99–107.CrossRefGoogle ScholarPubMed
Cunnane, S., & Crawford, M. (2003). Survival of the fattest: Fat babies were the key to evolution of the large human brain. Comparative Biochemistry and Physiology Part A, 136(03), 17–26. https://doi.org/10.1016/S1095-6433(03)00048-5CrossRefGoogle ScholarPubMed
Deaner, R., Carter, R., Joyner, M., & Hunter, S. (2015). Men are more likely than women to slow in the marathon. Medicine and Science in Sports and Exercise, 47(3), 607–616. https://doi.org/10.1249/MSS.0000000000000432CrossRefGoogle Scholar
Foster, F., & Collard, M. (2013). A reassessment of Bergmann's rule in modern humans. PLoS ONE, 8(8), e72269. https://doi.org/10.1371/journal.pone.0072269CrossRefGoogle ScholarPubMed
Gagnon, D., Jay, Æ., Lemire, Æ. B., & Kenny, G. (2008). Sex-related differences in evaporative heat loss: The importance of metabolic heat production. European Journal of Applied Physiology & Occupational Physiology, 82, 821–829. https://doi.org/10.1007/s00421-008-0837-0CrossRefGoogle Scholar
Gagnon, D., & Kenny, G. (2011). Sex modulates whole-body sudomotor thermosensitivity during exercise. Journal of Physiology, 589(24), 6205–6217. https://doi.org/10.1113/jphysiol.2011.219220CrossRefGoogle ScholarPubMed
Gagnon, D., & Kenny, G. (2012). Sex differences in thermoeffector responses during exercise at fixed requirements for heat loss. Journal of Applied Physiology, 113(5), 746–757. https://doi.org/10.1152/japplphysiol.00637.2012CrossRefGoogle ScholarPubMed
Garby, L., Garrow, J., Jørgensen, B., Lammert, O., Madsen, K., Sørensen, P., & Webster, J. (1988). Relation between energy expenditure and body composition in man: Specific energy expenditure in vivo of fat and fat-free tissue. European Journal of Clinical Nutrition, 42(4), 301–305.Google ScholarPubMed
Gilberg, R., Jørgensen, J., & Laughlin, W. (1975). Anthropometrical and skinfold thickness measurements on the Polar Eskimos, Thule District, North Greenland. C.A. Reitzels Forlag.Google Scholar
Glickman, N., Mitchell, H., Keeton, R., & Lambert, E. (1967). Shivering and heat production in men exposed to intense cold. Journal of Applied Physiologyhysiology, 22(1), 1–8. https://doi.org/10.1152/jappl.1967.22.1.1CrossRefGoogle ScholarPubMed
Gnaiger, E., Boushel, R., Søndergaard, H., Munch-Andersen, T., Damsgaard, R., Hagen, C., … Hesselink, M. (2015). Mitochondrial coupling and capacity of oxidative phosphorylation in skeletal muscle of Inuit and Caucasians in the arctic winter. Scandinavian Journal of Medicine & Science in Sports, 25, 126–134.CrossRefGoogle ScholarPubMed
González-Alonso, J. (2012). Human thermoregulation and the cardiovascular system. Experimental Physiology, 97(3), 340–346. https://doi.org/10.1113/expphysiol.2011.058701CrossRefGoogle ScholarPubMed
Gustafsson, A., & Lindenfors, P. (2004). Human size evolution: No evolutionary allometric relationship between male and female stature. Journal of Human Evolution, 47(4), 253–266. https://doi.org/10.1016/j.jhevol.2004.07.004CrossRefGoogle ScholarPubMed
Havenith, G. (1997). Individual heat stress response. Heidelberg: Springer Verlag.Google Scholar
Havenith, G., Coenen, J., Kistemaker, L., & Kenney, W. (1998). Relevance of individual characteristics for human heat stress response is dependent on exercise intensity and climate type. European Journal of Applied Physiology, 77(3), 231–241. https://doi.org/10.1007/s004210050327CrossRefGoogle ScholarPubMed
Hawley, J., Hargreaves, M., Joyner, M., & Zierath, J. (2014). Integrative biology of exercise. Cell, 159, 738–749.CrossRefGoogle ScholarPubMed
Hiernaux, J. (1968). La diversité humaine en Afrique subsaharienne. Editions de l'Institute de Sociology de l'Universite Libre de Bruxelles.Google Scholar
Hiernaux, J., & Fromont, A. (1976). The correlations between anthropobiological and climatic variables in sub-Saharan Africa: Revised estimates. Human Biology, 757–767.Google ScholarPubMed
Hill, R., Muhich, T., & Humphries, M. (2013). City-scale expansion of human thermoregulatory costs. PLoS ONE, 8(10), 1–8. https://doi.org/10.1371/journal.pone.0076238CrossRefGoogle ScholarPubMed
Hoffman, M., & Fogard, K. (2011). Factors related to successful completion of a 161-km ultramarathon. International Journal of Sports Physiology and Performance, 6, 25–37.CrossRefGoogle ScholarPubMed
Holliday, M. (1971). Metabolic rate and organ size durion growth from infancy to maturity and during late gestation and early infancy. Paediatrics, 47, 169–179.Google Scholar
Holliday, T. (1997). Body proportions in Late Pleistocene Europe and modern human origins. Journal of Human Evolution, 32, 423–447.CrossRefGoogle ScholarPubMed
Holliday, T., & Trinkaus, E. (1991). Limb/trunk proportions in Neandertals and early anatomically modern humans. American Journal of Physical Anthropology, 12, 93–94.Google Scholar
Hori, S. (1995). Adaptation to heat. Japanese Journal of Physiology. https://doi.org/10.2170/jjphysiol.45.921CrossRefGoogle Scholar
Houghton, P. (1990). The adaptive significance of Polynesian body form. Annals of Human Biology, 17(1), 19–32.CrossRefGoogle ScholarPubMed
Hunter, S. (2014). Sex differences in human fatigability: Mechanisms and insight to physiological responses. Acta Physiologica, 210(4), 768–789. https://doi.org/10.1111/apha.12234CrossRefGoogle ScholarPubMed
Hunter, S., Stevens, A., Magennis, K., Skelton, K., & Fauth, M. (2011). Is there a sex difference in the age of elite marathon runners? Medicine and Science in Sports and Exercise, 43(4), 656–664. https://doi.org/10.1249/MSS.0b013e3181fb4e00CrossRefGoogle Scholar
Iampietro, P., Vaughn, J., Goldman, R., Kreider, M., Masucci, F., & Bass, D. (1960). Heat production from shivering. Journal of Applied Physiologyhysiology, 15, 632–634. https://doi.org/10.1152/jappl.1960.15.4.632CrossRefGoogle ScholarPubMed
International Standards for Anthropometric Assessment. (2001). International Society for the Advancement of Kinanthropology, 125f. https://doi.org/10.1152/japplphysiol.00187.2013CrossRefGoogle Scholar
Jones, C., & White, N. (1994). Adiposity in aboriginal people from Arnhem Land, Australia: Variation in degree and distribution associated with age, sex and lifestyle. Annals of Human Biology, 21(3), 207–227.CrossRefGoogle Scholar
Jönsson, K. (1997). Capital and income breeding as alternative tactics of resource use in reproduction. Oikos, 78, 57–66.CrossRefGoogle Scholar
Keatinge, W., Coleshaw, S., Millard, C., & Axelsson, J. (1986). Exceptional case of survival in cold water. British Medical Journal (Clinical Research Ed.), 292(6514), 171. https://doi.org/10.1136/bmj.292.6514.171CrossRefGoogle ScholarPubMed
Knechtle, B., Knechtle, P., & Lepers, R. (2011). Participation and performance trends in ultra-triathlons from 1985 to 2009. Scandinavian Journal of Medicine and Science in Sports, 21(6). https://doi.org/10.1111/j.1600-0838.2010.01160.xCrossRefGoogle ScholarPubMed
Kuzawa, C., Chugani, H., Grossman, L., Lipovich, L., Muzik, O., Hof, P., … Lange, N. (2014). Metabolic costs and evolutionary implications of human brain development. Proceedings of the National Academy of Sciences of the United States of America, 111(36), 13010–13015. https://doi.org/10.1073/pnas.1323099111CrossRefGoogle ScholarPubMed
Lieberman, D., Bramble, D., Raichlen, D., & Shea, J. (2006). Brains, brawn, and the evolution of human endurance running capabilities. In Grine, F. E., Fleagle, J. G., & Leakey, R. E. (Eds.), The first humans – Origin and early evolution of the genus Homo. Springer.Google Scholar
Longman, D., Macintosh, A., Roberts, R., Oakley, S., Wells, J., & Stock, J. (2019). Ultra-endurance athletic performance suggests energetics drive human morphological thermal adaptation. Evolutionary Human Sciences, 1, e16.CrossRefGoogle Scholar
Longman, D., Prall, S., Shattuck, E., Stephen, I., Stock, J., Wells, J., & Muehlenbein, M. (2017b). Short-term resource allocation during extensive athletic competition. American Journal of Human Biology, 30(1). https://doi.org/10.1002/ajhb.23052Google Scholar
Longman, D., Stock, J., & Wells, J. (2017a). A trade-off between cognitive and physical performance, with relative preservation of brain function. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-14186-2CrossRefGoogle Scholar
Longman, D., Surbey, M., Stock, J., & Wells, J. (2018). Tandem androgenic and psychological shifts in male reproductive effort following a manipulated ‘win’ or ‘loss’ in a sporting competition. Human Nature, 29(3), 283–310. https://doi.org/10.1007/s12110-018-9323-5CrossRefGoogle ScholarPubMed
Longman, D., Wells, J., & Stock, J. (2015). Can persistence hunting signal male quality? A test considering digit ratio in endurance athletes. PLoS ONE, 10(4), e0121560. Retrieved from http://dx.plos.org/10.1371/journal.pone.0121560CrossRefGoogle ScholarPubMed
Maynard, L., Guo, S., Chumlea, W., Roche, A., Wisemandle, W., Zeller, C., … Siervogel, R. (1998). Total-body and regional bone mineral content and areal bone mineral density in children aged 8–18 y: The Fels Longitudinal Study. The American Journal of Clinical Nutrition, 68(5), 1111–1117.CrossRefGoogle Scholar
McArdle, W., Magel, J., Spina, R., Gergley, T., & Toner, M. (1984). Thermal adjustment to cold-water exposure in exercising men and women. Journal of Applied Physiology, 56(6), 1572–1577.CrossRefGoogle ScholarPubMed
Nagy, K. (2005). Field metabolic rate and body size. Journal of Experimental Biology, 208(9), 1621–1625. https://doi.org/10.1242/jeb.01553CrossRefGoogle ScholarPubMed
Nedergaard, J., Bengtsson, T., & Cannon, B. (2007). Unexpected evidence for active brown adipose tissue in adult humans. American Journal of Physiology – Endocrinology and Metabolism, 293(2), E444–E452.CrossRefGoogle ScholarPubMed
Ocobock, C. (2016a). Human energy expenditure, allocation, and interactions in natural temperate, hot, and cold environments. American Journal of Physical Anthropology, 161(4), 667–675. https://doi.org/10.1002/ajpa.23071CrossRefGoogle Scholar
Ocobock, C. (2016b). The allocation and interaction model: A new model for predicting total energy expenditure of highly active humans in natural environments. American Journal of Human Biology, 28(3), 372–380. https://doi.org/10.1002/ajhb.22797CrossRefGoogle Scholar
Osiba, S. (1957). The seasonal variation of basal metabolism and activity of thyroid gland in man. Japanese Journal of Physiology, 7, 355–365. https://doi.org/10.2170/jjphysiol.7.355CrossRefGoogle ScholarPubMed
Pandolf, K. (1998). Time course of heat acclimation and its decay. International Journal of Sports Medicine, 19(S2), S157–S160.CrossRefGoogle ScholarPubMed
Pant, M., Bal, N., & Periasamy, M. (2016). HHS Public Access. Trends in Endocrinology and Metabolism, 15(5), 477–491. https://doi.org/10.1586/14737175.2015.1028369.FocusedGoogle Scholar
Parsons, K. (2003). Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort and performance. Taylor & Francis.Google Scholar
Payne, S., Macintosh, A., & Stock, J. (2018). Body size and body composition effects on heat loss from the hands during severe cold exposure. American Journal of Physical Anthropology. https://doi.org/10.1002/ajpa.23432CrossRefGoogle ScholarPubMed
Piers, L., Rowley, K., Soares, M., & O'Dea, K. (2003). Relation of adiposity and body fat distribution to body mass index in Australians of Aboriginal and European ancestry. European Journal of Clinical Nutrition, 57(8), 956.CrossRefGoogle ScholarPubMed
Raynaud, J., Martineaud, J., Bhatnagar, O., Vieillefond, H., & Durand, J. (1976). Body temperatures during rest and exercise in residents and sojourners in hot climate. International Journal of Biometeorology, 20(4), 309–317. https://doi.org/10.1007/BF01553588CrossRefGoogle ScholarPubMed
Rennie, D. (1988). Tissue heat transfer in water: Lessons from the Korean divers. Medicine & Science in Sports & Exercise, 20(5), S177–S184.CrossRefGoogle ScholarPubMed
Rennie, D., Covino, B., Howell, B., Song, S., Kang, B., & Hong, S. (1962). Physical insulation of Korean diving women. Journal of Applied Physiology, 17(6), 961–966.CrossRefGoogle ScholarPubMed
Rivera-Brown, A., Rowland, T., Ramírez-Marrero, F., Santacana, G., & Vann, A. (2006). Exercise tolerance in a hot and humid climate in heat-acclimatized girls and women. International Journal of Sports Medicine, 27(12), 943–950. https://doi.org/10.1055/s-2006-923863CrossRefGoogle Scholar
Roberts, D. (1953). Body weight, race and climate. American Journal of Physical Anthropology, 11(4), 533–558.CrossRefGoogle ScholarPubMed
Roberts, D. (1973). Climate and human variability. An Addison-Wesley module in anthropology, No 34. Addison-Wesley.Google Scholar
Roberts, D. (1978). Climate and human variability. Cummings.Google Scholar
Rowland, L., Bal, N., & Periasamy, M. (2015). The role of skeletal-muscle-based thermogenic mechanisms in vertebrate endothermy. Biological Reviews, 90(4), 1279–1297. https://doi.org/10.1111/brv.12157CrossRefGoogle ScholarPubMed
Ruff, C. (1994). Morphological adaptation to climate in modern and fossil hominoids. Yearbook of Physical Anthropology, 37, 65–107.CrossRefGoogle Scholar
Rüst, C., Knechtle, B., Rosemann, T., & Lepers, R. (2013). Analysis of performance and age of the fastest 100-mile ultra-marathoners worldwide. Clinics, 68(5), 605–611. https://doi.org/10.6061/clinics/2013(05)05CrossRefGoogle ScholarPubMed
Rüst, C., Zingg, M., Rosemann, T., & Knechtle, B. (2014). Will the age of peak ultra-marathon performance increase with increasing race duration? BMC Sports Science, Medicine and Rehabilitation, 6(1), 1–15. https://doi.org/10.1186/2052-1847-6-36CrossRefGoogle ScholarPubMed
Sawka, M., Castellani, J., & Cheuvront, S. (2012). Physiological systems and their responses to conditions of heat and cold. In Farrell, P., Joyner, M., & Caiozzo, V. (Eds.), ACSM's advanced exercise physiology. Lippincott Williams & Wilkins.Google Scholar
Shapiro, Y., Pandolf, K., Avellini, B., Pimental, N., & Goldman, R. (1980). Physiological responses of men and women to prolonged dry heat exposure. Aviation Space and Environmental Medicine, 51(10), 1081–1085.Google Scholar
Speakman, J. (2010). Maximal heat dissipation capacity and hyperthermia risk: Neglected key factors in the ecology of endotherms. Journal of Animal Ecology, 79, 726–746. https://doi.org/10.1111/j.1365-2656.2010.01689.xGoogle ScholarPubMed
Stephenson, L., & Kolka, M. (1999). Esophageal temperature threshold for sweating decreases before ovulation in premenopausal women. Journal of Applied Physiology, 86(1), 22–28.CrossRefGoogle ScholarPubMed
Stinson, S. (1990). South American Indians. American Journal of Human Biology, 2, 37–51.CrossRefGoogle ScholarPubMed
Tilkens, M., Wall-Scheffler, C., Weaver, T., & Steudel-Numbers, K. (2007). The effects of body proportions on thermoregulation: an experimental assessment of Allen's rule. Journal of Human Evolution, 53(3), 286–291. https://doi.org/10.1016/j.jhevol.2007.04.005CrossRefGoogle ScholarPubMed
Trinkaus, E. (1981). Neanderthal limb proportions and cold adaptation. In Stringer, C. (Ed.), Aspects of human evolution (pp. 187–224). Taylor & Francis.Google Scholar
Welle, S., Tawil, R., & Thornton, C. (2008). Sex-related differences in gene expression in human skeletal muscle. PLoS ONE, 3(1). https://doi.org/10.1371/journal.pone.0001385CrossRefGoogle ScholarPubMed
Wells, J. (2007). Sexual dimorphism of body composition. Best Practice and Research: Clinical Endocrinology and Metabolism, 21(3), 415–430. https://doi.org/10.1016/j.beem.2007.04.007CrossRefGoogle ScholarPubMed
Wells, J. (2012). Ecogeographical associations between climate and human body composition: Analyses based on anthropometry and skinfolds. American Journal of Physical Anthropology, 147(2), 169–186. https://doi.org/10.1002/ajpa.21591CrossRefGoogle ScholarPubMed
Wells, J. (2018). Life history trade-offs and the partitioning of maternal investment Implications for health of mothers and offspring. Evolution, Medicine and Public Health, 153–166. https://doi.org/10.1093/emph/eoy014CrossRefGoogle ScholarPubMed
Wells, J. C. K. (2006). The evolution of human fatness and susceptibility to obesity: An ethological approach. Biological Reviews of the Cambridge Philosophical Society, 81(2), 183–205. https://doi.org/10.1017/S1464793105006974CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Overview of the four ultramarathons (taken from Longman et al., 2019)

Figure 1

Table 2. Descriptive characteristics for all participating athletes, split by competition (male data replicated from Longman et al., 2019)

Figure 2

Table 3. Mean and standard deviations of the race time of finishers in hot and cold condition races (male data replicated from Longman et al., 2019)

Figure 3

Figure 1. Percentage differences in anthropometric traits between race finishers in hot and cold conditions. Negative values reflect the variable being greater in cold-condition finishers than hot-condition finishers. P-values are provided for statistically significant differences.

Figure 4

Figure 2. Natural log transformation of the differences between finishers and non-finishers in a hot environment. Negative values reflect the variable being greater in cold-condition finishers than hot-condition finishers. P-values are provided for statistically significant differences.

Figure 5

Table 4. Morphological characteristics of hot race finishers relative to (a) cold race finishers and (b) hot race non-finishers). Bold text signifies statistically significant differences between athletes

Figure 6

Figure 3. The selective pressure for the generation of thermally adapted morphologies arises from prolonged physical activity in thermally challenging environments. Taken from (Longman et al., 2019).