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Article

Cardiovascular and Thermal Responses to Cold Exposure During Exercise in Iron-Deficient Anemic Individuals

by
Panagiotis Miliotis
1,
Spyridoula Ntalapera
1,
Panagiotis Lakeas
1,2,
Argyris Toubekis
3,
Nickos Geladas
1 and
Maria Koskolou
1,*
1
Division of Sport Medicine and Biology of Exercise, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, 17237 Athens, Greece
2
Division of Sciences, School of Physical Education, Sport and Exercise Sciences, University of Otago, Dunedin 9054, New Zealand
3
Division of Aquatic Sports, School of Physical Education and Sport Science, National and Kapodistrian University of Athens, 17237 Athens, Greece
*
Author to whom correspondence should be addressed.
J. Funct. Morphol. Kinesiol. 2025, 10(3), 362; https://doi.org/10.3390/jfmk10030362
Submission received: 10 August 2025 / Revised: 12 September 2025 / Accepted: 19 September 2025 / Published: 22 September 2025
(This article belongs to the Section Physical Exercise for Health Promotion)

Abstract

Background: Temperature regulation is impaired in iron-deficient anemic humans and rats at rest during cold exposure. However, there is a paucity of data regarding the interplay of cold exposure, anemia, and exercise on thermal and cardiovascular responses. Therefore, we aimed to explore thermal and cardiovascular responses of individuals with chronic mild iron-deficiency anemia during exercise in the cold compared to controls. Methods: Nine anemic (5 F, 4 M) and nine control (5 F, 4 M) individuals, matched for body fat, size, and mass but different by design in hematological parameters and physical fitness, participated in the study. The participants cycled in cold 11 °C with 40% relative humidity (RH) and neutral (22 °C, 40% RH) conditions at an intensity ~10% below the respiratory threshold until 1 °C increase in rectal temperature (Tre) or 1 h of exercise, whichever occurred first. Results: In the cold, the anemic individuals showed a lower rate of Tre rise (p = 0.047) and lower mean skin temperature (Tsk) (p = 0.03) compared to controls, while only controls increased heat production compared to the neutral condition (p = 0.035). Moreover, the anemic group exhibited an exaggerated blood pressure response in the cold compared to the neutral environment (p < 0.05), due to heightened total peripheral resistance (p < 0.05) and vasomotor response (p < 0.001). Conclusions: In summary, chronic mild iron-deficiency anemia impaired temperature regulation as judged from the lower rate of Tre rise and an inability to activate further the metabolism at cold. Concomitantly, the anemic participants demonstrated increased cardiovascular strain. This is notable because anemia and these environmental conditions are encountered in the workplace, recreational activities, and athletic endeavors. These findings may inform safety guidelines for athletes, workers, and patients exposed to cold environments.

1. Introduction

Iron-deficiency anemia affects cardiovascular response and induces metabolic and hormonal disturbances, both of which are essential for temperature regulation [1,2,3]. Early studies in resting humans and animals with iron-deficiency anemia have shown impaired thermoregulation and altered metabolism during cold air or water exposure [4,5,6,7]. For instance, anemic individuals experienced greater body heat losses from impaired metabolism caused by enzymatic depletion of iron, reflected in oxygen uptake responses and lower rectal temperature [2,5]. These disturbances, at rest, are reversed when iron-deficiency anemia is treated, highlighting the importance of adequate iron levels for maintaining proper thermoregulation and overall metabolic function [4].
Exercise and a cold environment could independently tax cardiovascular responses [8]. It has been documented that during exercise in the cold, the cardiovascular strain is amplified, causing altered sympathetic function [9]. Cold exposure is characterized by a sympathetic nervous system excitation that causes cutaneous vasoconstriction [10] and elevated muscle sympathetic nerve activity [11], leading to increases in arterial blood pressure, and, thus, heightening the risk of cardiovascular events more pronouncedly in individuals with underlying cardiovascular diseases [10,12,13,14,15]. However, despite elevated catecholamine levels in anemic individuals at cold [16,17,18] and their disadvantageous cardiovascular system in terms of oxygen delivery, there is a paucity of studies investigating the integrated responses of thermoregulatory and cardiovascular responses.
Iron-deficiency anemia is most prevalent in well-trained premenopausal women, athletes, military personnel, and pregnant women [19,20,21]. It also coexists in various diseases such as heart failure, hypertension, kidney failure, and cancer [22,23,24,25]. Therefore, it is of great importance to examine the physiological and thermal behavioral responses of individuals with chronic iron deficiency during exercise in moderately cold environments, as these conditions are common in work, sports, and recreational activities.
This study aims to investigate how individuals with mild iron-deficiency anemia regulate body temperature and respond to cardiovascular stress during exercise in moderate cold (11–12 °C) conditions. Understanding these responses is critical for improving the safety and performance of vulnerable populations under such environmental conditions.
We hypothesized that anemic participants compared to controls would demonstrate compromised heat production during the cycling exercise in the cold, resulting in a slower rise in core temperature accompanied by exaggerated vasoconstrictor and cardiovascular responses.

2. Materials and Methods

2.1. Participants

Eighteen physically active young adult participants, nine (5 females, 4 males) controls with normal hemoglobin concentration ([Hb]), hematocrit (Hct) serum iron (Fe), and ferritin and nine (5 females, 4 males) with chronic mild iron-deficiency anemia (inclusion hematological criteria were as follows: 10 < [Hb] < 12 g/dL, 34 < Hct < 37%, and ferritin < 15 µg/L) [26] volunteered for the study (Table 1). An a priori power analysis (G Power 3.1.9.7. software) indicated that a minimum of sixteen participants (8 per group) was required to achieve a statistical power greater than 0.85, effect size ηp2 > 0.06 (medium), and α value ≤ 0.05 in a mixed 3-way ANOVA design (group × condition × time).
Both groups had no previous history of cardiovascular and pulmonary diseases and were free of musculoskeletal injuries and thyroid diseases. Before visiting the lab, the participants were instructed to avoid heavy meals (4 h), intense exercise (24 h), and to not consume alcohol and caffeinated beverages (12 h). Anemic participants were not taking any iron supplementation throughout the study period. All female participants had regular menstrual cycles and were not using contraception pills. In addition, to avoid the confounding effects of female hormones on core temperature and physiological responses, all female participants exercised during the follicular phase of the menstrual cycle [27], which was assessed with urine sticks. The experimental procedures had the approval of the local Ethical Committee (1157/11-12-2019). All possible risks and benefits of the procedures were thoroughly explained to the participants, and their written consent was obtained. The two groups were well matched for age, height, body mass, body surface area, and %fat. However, they were different by design for fitness level using the prediction equation of differences in VO2max with corresponding differences in hemoglobin concentration as reported by Calbet et al. [28]. More specifically, initially, fitness and hematological parameters of the anemic participants were measured, and thereafter they were matched with control participants based on [Hb]-corrected VO2max values [29].

2.2. Study Design

Prior to the main experiments, the participants visited our lab on two occasions, including a baseline blood status assessment, a seven-site body fat calculation [30], and a familiarization with experimental procedures and the equipment/instrumentation. Thereafter, on two different days, with at least a 48 h interval, the participants performed VO2max tests on a cycle ergometer (Lode, Groningen, The Netherlands), one in a cold (11 °C and RH: 40%) and one in a neutral (22 °C and RH: 40%) environment, following a randomized order in a similar way for both groups. The load of incremental exercise was initially set at 20 W for all participants and then increased by 20 W every minute for females and by 30 W for males until volitional exhaustion. The highest 20 s values were averaged to determine VO2max.
During experimental protocols, 1 h before the experiment, participants arrived at the lab and ingested 5 mL/BM of water. They then emptied their bladder, and their body mass was measured (Bilance Salus, Milan, Italy) while wearing only shorts (males) or shorts and a fitted top (females). Afterward, their capillary blood Hct% and [Hb] were determined. Then, they remained seated for 5 min while baseline rectal and skin temperatures and blood pressure were recorded, serving as idle values. If rectal temperature deviated by ±0.2 °C from the value recorded in the first visit, the experiment was postponed for another day. The participants remained seated for another 20 min in either a neutral or cold environment in a randomized and counterbalanced order. Then, they performed the prolonged cycling exercise protocol in the corresponding environmental condition (neutral: 22 °C, 40% RH, and cold: 11 °C, 40% RH) and (ANN: anemia + neutral, ANC: anemia + cold, and CONN: control + neutral, and CONC: control + cold) at an intensity 10% below the second ventilatory threshold (VT2) until either their rectal temperature (Tre) increased by 1 °C or until 1 h had passed, whichever occurred first. Participants were not allowed to drink water throughout the experiment (including the resting period and exercise) and wore the same clothing across all conditions: shorts, socks, a T-shirt, and shoes. Each exercise session was separated by an interval of at least 48 h between measurements. Also, the hydration status was assessed in every visit using Hct% values and body mass [31].

2.3. Measurements

Core body temperature was recorded with a probe (MSR 145, MSR Electronics GmbH, Henggart, Switzerland) at the rectum, 10–12 cm past the anal sphincter, sampled and stored at 30 s intervals by an MSR data logger (Modular Signal Recorder, MSR Electronics GmbH, Henggart, Switzerland). Skin temperature was measured at four sites (forearm, fingertip, calf, and chest) using thermocouples (MSR 147WD, MSR Electronics GmbH, Henggart, Switzerland) attached to the skin with a single piece of adhesive tape, and a weighted mean skin temperature (Tskin) was calculated [32,33]. The forearm-fingertip temperature gradient (Tf-f) was used as an index of skin vasomotor tone, which is reproducible during exercise [34].
The local sweat rate secreted in the forearm was measured with a ventilated capsule continuously. The temperature and humidity of air entering and exiting the capsule were measured with thermocouples (TSD 202A, BIOPAC Systems Inc., Austin, TX, USA) and capacitance hygrometers (Delta), respectively, and sweat rate (SwR) was estimated from the difference between the temperature and the humidity of inflowing and outflowing air. Temperature and humidity sensors were appropriately calibrated before their use. Also, thermal sensation was assessed with a scaled questionnaire (1, cold; 3, cool; 5, slightly cool; 7, neutral; 9, slightly warm; 11, warm; 13, hot) (ASHRAE, 1966, modified [35]). Gas exchange and ventilatory variables (VO2, VCO2, RER, and VE) were recorded continuously throughout experiments breath by breath via open-circuit spirometry (Ultima CPX, MedGraphics, Austin, TX, USA). Before each test, the gas analyzers for O2 and CO2 and the pneumotachograph were calibrated with two different gas mixtures: (a) 12% O2 and 5% CO2 balanced in N2 and (b) 21% O2 and 0.01% CO2 balanced in N2 and a 3 L syringe (Ultima CPX, MedGraphics, Austin, TX, USA), respectively. Metabolic energy expenditure was calculated as follows:
M ( W ) = V ˙ O 2 R E R 0.7 0.3 e c + 1 R E R 0.3 e f 60
where “RER” is respiratory exchange ratio (VCO2/VO2), “ec” is the caloric equivalent of a liter of oxygen when carbohydrates are oxidized (21.1 kJ), and “ef” is the caloric equivalent of a liter of oxygen when fat is oxidized (19.6 kJ).
Systolic blood pressure and diastolic blood pressure were continuously recorded beat by beat noninvasively via a photoplethysmograph with the cuff attached on the middle finger of the left hand (Finometer 2003, FMS, Arnhem, The Netherlands). Stroke volume (SV) was estimated via the Modelflow method [36], while mean arterial pressure (MAP), cardiac output (CO), and total peripheral resistance (TPR) were calculated by BeatScope software (version 1.a.). The method of photoplethysmography has been shown to have very high validity correlation (0.93–0.99) with invasive methods such as arterial line placement during dynamic exercise [37]. To minimize measurement noise, the left hand was carefully and comfortably immobilized in a stable structure so as not to constrain maximal effort during exercise. The heart rate (HR) was monitored with a standard lead II electrocardiogram (ECG 100C, BIOPAC Inc., Goleta, CA, USA). The Hct% values were determined using the Hct scale (Haematocrit Reader, Hawksley Inc., Lancing, UK) after a 5 min centrifugation of 75 μL capillary blood at 11,500 rpm (Micro Haematocrit Mk5 Centrifuge, Hawksley, Lancing, UK) with a resolution of 1% units. The [Hb] values were determined by a portable photometer (Diaspect Tm) using 10 μL of capillary blood.

2.4. Statistical Analysis

Normality of data was assessed using the Shapiro–Wilk test. Student’s paired two-tailed t-test was employed for comparing participants’ characteristics. ANOVA for two factors (group x condition) was used to analyze resting values of rectal and skin temperatures, as well as rate of rectal temperature rise, heat production values, and initiation of sweating. Three-way ANOVA was conducted to analyze cardiovascular and thermoregulatory responses with [Hb] as a between-subject factor and two within-subject factors (condition and time). The cardiovascular and thermal responses presented in the figures were analyzed for the common 20 min period of exercise since there was time variation to achieve the targeted Tre of 38 °C. The Tukey post hoc test was used to assess the significance of parametric analysis. For significant time-related interactions, a separate two-way ANOVA was conducted at each time point of interest. Moreover, partial eta squared as measures of effect size was used, where ηp2 = 0.01 is considered small, 0.06 moderate, and >0.14 as large. A violation of normality was found for thermal sensation; thus, initially a Friedman test was conducted to discriminate overall group effects (anemia vs. control). Thereafter, a Wilcoxon signed–rank test was used to detect differences between conditions within the same group and a Mann–Whitney test for independent groups at each time point. Data is presented as mean ± sd. The significance level was set at p ≤ 0.05.

3. Results

3.1. Sample Characteristics

The two groups differed by design in blood variables (p < 0.001) and were matched for anthropometric characteristics (p > 0.05) (Table 1). [Hb] was 21% lower in the anemic group (p < 0.001), and VO2max was 12.5% lower, but without reaching a significant difference (p = 0.06) (Table 1). No group differences for MAP were detected (p = 0.98) before the thermal provocation for resting data (ANN: 94 ± 9; ANC: 96 ± 7 vs. CONN: 94 ± 6, CONC: 95 ± 6). Also, there were no differences between groups for baseline values regarding Tsk and Tre in neutral and cold conditions, respectively.

3.2. Cardiovascular Responses

There was a significant group x environment interaction for MAP (p = 0.031, ηp2 = 0.26) and for TPR (p = 0.043, ηp2 = 0.23), and post hoc analysis indicated that they were significantly higher in the cold condition compared to neutral, but only in the anemic group did the values reach significance, both at rest and during exercise (p < 0.001) (Figure 1).
For CO responses, an environment x time interaction was revealed (p = 0.004, ηp2 = 0.19), and further analysis indicated that only in the anemic group did the CO differ at specific time points between cold and neutral conditions during exercise (Figure 1B). Overall stroke volume increased from rest to exercise (p = 0.001, ηp2 = 0.19), and there was no difference in the cold (97 ± 26 mL) compared to the neutral (103 ± 26 mL) condition during exercise (p = 0.10). Overall heart rate increased during exercise in both groups and conditions (p < 0.001, ηp2 = 0.98), and it was lower from the onset until the 15th min of exercise in ANC compared to ANN (p = 0.01, ηp2 = 0.40). Diastolic blood pressure was higher in ANC (93 ± 10 mmHg) compared to ANN (82 ± 10 mmHg) (p = 0.022, ηp2 = 0.75), while it was elevated in CONC compared to CONN only at the 15th and 20th min of exercise (p = 0.005). Systolic blood pressure was elevated only in ANC (175 ± 21 mmHg) compared to ANN (155 ± 21) (p = 0.0004, ηp2 = 0.37), with no difference between CONC (166 ± 23 mmHg) and CONN (162 ± 23 mmHg) (p = 0.64).

3.3. Thermoregulatory Responses

The rate of rectal temperature rise was lower in ANC compared to CONC (p = 0.047, ηp2 = 0.22) and ANN (p = 0.003, ηp2 = 0.33) (Table 2). Accordingly, the time required to increase Tre by +1 °C was significantly longer in ANC compared to ANN and CONC (p = 0.001, ηp2 = 0.52) and CONC (p = 0.021, ηp2 = 0.26) (Table 2).
A significant group x condition interaction was noted for oxygen uptake (p = 0.016, ηp2 = 0.31), and post hoc analysis revealed that VO2 was higher only in the control group during exercise in the cold (CONC: 1852 ± 626 mL/min) compared to thermoneutral (CONN: 2031 ± 727 mL/min) (p = 0.026) (Figure 2), whereas in the anemic group the VO2 remained unchanged in the two conditions (ANN: 1759 ± 314 mL/min vs. ANC: 1725 ± 321 mL/min) (p = 0.92). Metabolic heat production (Hprod) in absolute values during exercise (Table 2) was higher in CONC (710 ± 236 W) than in CONN (645 ± 204 W) (p = 0.035, ηp2 = 0.25), but similar between ANC (610 ± 106 W) and ANN (606 ± 107 W). Also, Hprod was not different between ANN and CONN in relative values as well (Table 2).
A group x condition interaction (p = 0.010, ηp2 = 0.36) was found for Tskin accounted for by the lower Tsk values at rest and throughout exercise observed in ANC compared to CONC (p = 0.028) and ANN (p = 0.001) (Figure 3A). Cold exposure delayed the onset of sweating in both groups (p = 0.001). There was a strong tendency for difference between ANC (0.33 ± 0.2) and CONC (0.21 ± 0.1) (p = 0.056). The sweat rate increased as time progressed (p = 0.0001), and it was lower in cold environments irrespective of group (p = 0.004, ηp2 = 0.40). Also, SwR in ANC was lower than CONC during exercise (p = 0.024) (Figure 3B).
There was a violation of normality for thermal sensation. Therefore, a Friedman test was conducted, indicating that there is a condition effect for both the anemic and control groups (p = 0.001). Thus, the nonparametric Wilcoxon was used as a post hoc test and showed a difference between cold and neutral conditions for both groups (p = 0.001). Lower thermal sensation values were noticed in ANC compared to CONC (p = 0.01) according to the Mann–Whitney test for independent groups. Tf-f was lower in the anemic participants than in the controls (p = 0.004, ηp2 = 0.42) and higher in the cold than in the thermoneutral condition (p < 0.001, ηp2 = 0.72) (Figure 4B).

4. Discussion

Previous studies in animals and humans with iron-deficient anemia have focused primarily on temperature regulation responses during cold exposure at rest [5,6,7]. This is the first study to examine integrated cardiovascular and thermoregulatory responses at rest and during cycling exercise in cold conditions among anemic individuals. Our main findings are that chronic mild iron-deficiency anemia affects cardiovascular and thermoregulatory responses in individuals exposed to cold air conditions at rest and during exercise. Specifically, anemic individuals showed a lower rate of rectal temperature rise and mean skin temperature, augmented peripheral vasoconstriction, and an exaggerated blood pressure response in the cold condition. Also, anemic individuals exhibited suppressed sweating rate responses. These findings suggest enhanced cardiovascular strain in anemic individuals, especially during exercise, probably inducing high cold vulnerability in this group of people.

4.1. Cardiovascular Responses

In young anemic individuals, elevated mean arterial pressure was recorded both at rest and during early exercise, more than in controls, in cold conditions. Although anemia is generally associated with vasodilation [38,39], this is the first study showing an exaggerated blood pressure response during cold exposure. This likely suggests increased sympathetic activation and peripheral vasoconstriction in anemic individuals. The observed accentuated cardiovascular strain could be of clinical importance and raise the risk of adverse events in cold environments, given the frequent coexistence of anemia and cardiovascular disease. In the present study, the healthy participants exhibited elevated blood pressure response at rest (~5 mmHg) and exercise (~10 mmHg) in the cold compared to the neutral condition. This difference, however, did not reach statistical significance, likely due to great individual variability [13,40]. The lower skin temperature observed in our anemic individuals in the cold is associated with increased total peripheral resistance. Based on Tf-f, this is attributable to changes in cutaneous vasculature, although current data in young adults remain inconclusive as to whether sympathetic response also involves muscle vasculature [11,41,42]. Moreover, the hypertensive response may be driven by higher catecholamine levels in anemia, as supported by earlier animal and human research [4,16,17]. In our study, the cardiac output of anemic individuals was lower in the cold compared to the neutral condition. This was due to the lower heart rate response, commonly observed during cold exposure, especially under extreme cold conditions where body temperature is reduced [8]. Also, intriguingly, this reduced heart rate could be indicative of an attempt to attenuate cardiac output and, therefore, blunt the exaggerated arterial blood pressure response, thus altering the operating point of HR baroreflex [43]. In our study, stroke volume remained relatively stable in both groups and, thus, central venous pressure (preload) was not different among conditions and groups. This response is in alignment with previous research showing that stroke volume is typically preserved or even elevated [44,45,46,47]. As arises from above, the hypertensive response displayed by the anemic individuals is mainly attributed to enhanced peripheral resistance. However, further research is warranted in anemic individuals regarding the purpose served and the precise autonomic responses recruited in cardiovascular control under cold stress.

4.2. Temperature Regulation Responses

Cutaneous vasoconstriction serves as a principal defending mechanism against body temperature reduction during cold exposure [8]. In our study, the anemic group showed higher vasoconstrictor activity in cold conditions compared to controls, as assessed by the finger–forearm skin temperature gradient, which resulted in lower mean skin temperature. Despite this, anemic individuals displayed a lower rate of rectal temperature rise in cold conditions compared to controls, suggesting impaired heat-generating mechanisms.
VO2 response has a major role in temperature regulation in the cold [8]. In our study, the anemic participants had comparable metabolic heat production to controls in the neutral condition, but they could not increase their VO2 responses in the cold as the healthy participants did, and this is evident in their higher metabolic heat production both in absolute (W) and relative (W·kg−1 & W·m−2) values. Our findings align with earlier findings that iron deficiency and iron-deficiency anemia affected the metabolic responses during cold exposure in resting humans and animals. Particularly, Beard et al. [5] in their study, after controlling for body fat and menstrual cycle, reported that anemic women had lower VO2 values in the cold and their core temperature declined faster due to insufficient non-shivering thermogenesis mechanisms. The authors suggested that these responses are linked to lower thyroid hormone levels, since iron deficiency affects the conversion of T4 to more drastic T3, leading to diminished circulating levels of thyroxine and triiodothyronine in rats and humans [5]. This conversion to the more drastic T3 requires iron [1] and is crucial for stimulating brown adipose tissue thermogenesis, essential for energy homeostasis in cold conditions [48,49]. As thyroid hormones were not directly measured in this study, it remains to be determined whether this mechanism is responsible for not further activating the metabolism in anemic individuals during exercise in the cold.
Thermal sensation plays a critical role in initiating behavioral thermoregulation, but there is a lack of information regarding individuals with chronic iron-deficiency anemia. In our study, cold exposure reduced subjective thermal sensation in both groups, with anemic participants reporting even lower values. During exercise in the cold, their thermal sensation mirrored lower mean skin temperature, slower rectal temperature rise, and greater vasoconstriction, as indicated by the finger–forearm gradient. These findings agree with previous studies showing that thermal sensation is influenced by skin and rectal temperatures [50]. Anemic individuals’ higher cold sensitivity may reflect a compensatory behavioral mechanism for impaired heat production. On the other hand, it could be a greater intolerance, which possibly arises from their diminished inability to maintain core temperature. Crucially, from a clinical perspective, cold intolerance is connected to earlier onset of ischemia or angina during exercise in coronary artery disease patients [51,52]. This greater cold sensitivity and altered cold perception could increase dropout risk in outdoor training or occupational tasks. Further research should elucidate the thermal perception of anemic humans and the interactive effect of additional thermal factors, such as aging, hypoxia, and sleep deprivation, on thermal sensation.
To our knowledge, the present study is the first one to examine the temperature regulation responses of iron-deficient anemic humans during exercise in the cold, with previous research focusing only on resting conditions [7,17,18]. In the present study, the anemic participants also displayed lower local sweat rate in the cold in the same manner as Tsk. In fact, skin temperature modulates sweat rate responses [53], especially during cold exposure, where a drop in Tsk reduces the sweat production without any observed change in body temperature [54].
The findings of this study on how iron-deficiency anemia alters cardiovascular and thermal responses during cold exposure could be applied in a wide range of areas, such as clinical practice, exercise performance, workers, and military personnel. From a clinical perspective, these findings can help identify individuals at higher risk for adverse outcomes in cold environments, particularly in populations with complex cardiovascular conditions.

4.3. Methodological Considerations

This study is not without limitations. During cold exposure, the sympathetic nervous system is stimulated, and, therefore, the autonomic cardiovascular responses play a pivotal role in maintaining the homeostasis of the cardiovascular system both at rest and during exercise. Given that the anemic individuals showed a reduced heart rate with a concomitant increased mean arterial pressure, it is suggested that the arterial baroreflex may be altered in this group; however, the study design did not allow for a thorough investigation of the role of autonomic regulation, especially the arterial baroreflex function. Therefore, more in-depth investigation of autonomic regulation is required in anemic populations. Moreover, the study was limited by the absence of skin blood flow measurements, since sympathetic noradrenergic vasoconstrictor nerves induce a rapid decrease in skin blood flow in cold conditions [10]. However, we attempted to address this limitation by measuring the forearm–finger skin temperature gradient, which is considered a valid qualitative index of cutaneous vasomotor tone during steady-state exercise [34]. Moreover, the small sample size and sex distribution may limit the generalizability of the results. Also, ecological validity was compromised, as the choice for light clothing does not reflect real-world attire in cold environments. In addition, a combination of cold temperatures with other environmental stressors (i.e., altitude, wet environment) could pose an additional challenge to metabolic responses [55].

5. Conclusions

In conclusion, our study highlights the significant impact of chronic mild iron-deficiency anemia on cardiovascular and thermoregulatory responses during cold exposure, particularly during cycling exercise. Anemic individuals displayed a slower rise in rectal temperature. They also exhibited a lower skin temperature, as well as elevated vasoconstriction and total peripheral resistance, as a compensatory mechanism. The latter responses resulted in exaggerated blood pressure, indicating exaggerated cardiovascular strain compared to controls. Given the prevalence of anemia in individuals with cardiovascular diseases and in a significant portion of the athletic population, more research is needed to adequately address the autonomic cardiovascular responses under various adverse environments. Future research should include direct measures of autonomic regulation and extend findings to larger, more diverse populations, including older adults and athletes.

Author Contributions

Conceptualization, P.M., N.G. and M.K.; methodology, P.M., A.T., N.G. and M.K.; formal analysis, P.M. and M.K.; investigation, P.M., S.N. and P.L.; data curation, P.M.; writing—original draft preparation, P.M. and M.K.; writing—review and editing, P.M., S.N., P.L., A.T., N.G. and M.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by Research Ethics and Bioethics Committee of the School of Physical Education and Sport Science, National and Kapodistrian University of Athens, Greece (1157/11-12-2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are not publicly available due to privacy and ethical restrictions. The raw data supporting the conclusions of this article will be made available on request from the corresponding author.

Acknowledgments

We are grateful to all the participants for their remarkable commitment and engagement throughout the experiments.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
TskMean skin temperature
TreRectal temperature
Tf-fForearm–fingertip temperature gradient
VO2Oxygen uptake
TPRTotal peripheral resistance
MAPMean arterial pressure
COCardiac output
HRHeart rate
RHRelative humidity
SwRSweat rate
HprodHeat production
[Hb]Hemoglobin concentration
HctHematocrit
AΝΝAnemic group in neutral conditions
ANCAnemic group in cold conditions
CONNControl group in neutral conditions
CONCControl group in cold conditions

References

  1. Brigham, D.; Beard, J. Iron and thermoregulation: A review. Crit. Rev. Food Sci. Nutr. 1996, 36, 747–763. [Google Scholar] [CrossRef] [PubMed]
  2. Rosenzweig, P.H.; Volpe, S.L. Iron, thermoregulation, and metabolic rate. Crit. Rev. Food Sci. Nutr. 1999, 39, 131–148. [Google Scholar] [CrossRef] [PubMed]
  3. Beard, J.L. Iron biology in immune function, muscle metabolism and neuronal functioning. J. Nutr. 2001, 131, 568S–579S; discussion 580S. [Google Scholar] [CrossRef]
  4. Beard, J.L.; Tobin, B.W.; Smith, S.M. Effects of iron repletion and correction of anemia on norepinephrine turnover and thyroid metabolism in iron deficiency. Proc. Soc. Exp. Biol. Med. 1990, 193, 306–312. [Google Scholar] [CrossRef]
  5. Beard, J.L.; Borel, M.J.; Derr, J. Impaired thermoregulation and thyroid function in iron-deficiency anemia. Am. J. Clin. Nutr. 1990, 52, 813–819. [Google Scholar] [CrossRef]
  6. Dillman, E.; Gale, C.; Green, W.; Johnson, D.G.; Mackler, B.; Finch, C. Hypothermia in iron deficiency due to altered triiodothyronine metabolism. Am. J. Physiol. 1980, 239, R377–R381. [Google Scholar] [CrossRef] [PubMed]
  7. Lukaski, H.C.; Hall, C.B.; Nielsen, F.H. Thermogenesis and thermoregulatory function of iron-deficient women without anemia. Aviat. Space Environ. Med. 1990, 61, 913–920. [Google Scholar]
  8. Castellani, J.W.; Tipton, M.J. Cold Stress Effects on Exposure Tolerance and Exercise Performance. Compr. Physiol. 2015, 6, 443–469. [Google Scholar] [CrossRef]
  9. Ikaheimo, T.M. Cardiovascular diseases, cold exposure and exercise. Temperature 2018, 5, 123–146. [Google Scholar] [CrossRef] [PubMed]
  10. Alba, B.K.; Castellani, J.W.; Charkoudian, N. Cold-induced cutaneous vasoconstriction in humans: Function, dysfunction and the distinctly counterproductive. Exp. Physiol. 2019, 104, 1202–1214. [Google Scholar] [CrossRef]
  11. Mugele, H.; Marume, K.; Amin, S.B.; Possnig, C.; Kuhn, L.C.; Riehl, L.; Pieper, R.; Schabbehard, E.L.; Oliver, S.J.; Gagnon, D.; et al. Control of blood pressure in the cold: Differentiation of skin and skeletal muscle vascular resistance. Exp. Physiol. 2023, 108, 38–49. [Google Scholar] [CrossRef] [PubMed]
  12. Gasparrini, A.; Guo, Y.; Hashizume, M.; Lavigne, E.; Zanobetti, A.; Schwartz, J.; Tobias, A.; Tong, S.; Rocklov, J.; Forsberg, B.; et al. Mortality risk attributable to high and low ambient temperature: A multicountry observational study. Lancet 2015, 386, 369–375. [Google Scholar] [CrossRef]
  13. Greaney, J.L.; Kenney, W.L.; Alexander, L.M. Sympathetic function during whole body cooling is altered in hypertensive adults. J. Appl. Physiol. (1985) 2017, 123, 1617–1624. [Google Scholar] [CrossRef] [PubMed]
  14. Fares, A. Winter Hypertension: Potential mechanisms. Int. J. Health Sci. 2013, 7, 210–219. [Google Scholar] [CrossRef] [PubMed]
  15. Liu, C.; Yavar, Z.; Sun, Q. Cardiovascular response to thermoregulatory challenges. Am. J. Physiol. Heart Circ. Physiol. 2015, 309, H1793–H1812. [Google Scholar] [CrossRef]
  16. Voorhess, M.L.; Stuart, M.J.; Stockman, J.A.; Oski, F.A. Iron deficiency anemia and increased urinary norepinephrine excretion. J. Pediatr. 1975, 86, 542–547. [Google Scholar] [CrossRef]
  17. Dillmann, E.; Johnson, D.G.; Martin, J.; Mackler, B.; Finch, C. Catecholamine elevation in iron deficiency. Am. J. Physiol. 1979, 237, R297–R300. [Google Scholar] [CrossRef]
  18. Martinez-Torres, C.; Cubeddu, L.; Dillmann, E.; Brengelmann, G.L.; Leets, I.; Layrisse, M.; Johnson, D.G.; Finch, C. Effect of exposure to low temperature on normal and iron-deficient subjects. Am. J. Physiol. 1984, 246, R380–R383. [Google Scholar] [CrossRef]
  19. McClung, J.P.; Karl, J.P.; Cable, S.J.; Williams, K.W.; Young, A.J.; Lieberman, H.R. Longitudinal decrements in iron status during military training in female soldiers. Br. J. Nutr. 2009, 102, 605–609. [Google Scholar] [CrossRef]
  20. Parks, R.B.; Hetzel, S.J.; Brooks, M.A. Iron Deficiency and Anemia among Collegiate Athletes: A Retrospective Chart Review. Med. Sci. Sports Exerc. 2017, 49, 1711–1715. [Google Scholar] [CrossRef] [PubMed]
  21. Pasricha, S.R.; Moir-Meyer, G. Measuring the global burden of anaemia. Lancet Haematol. 2023, 10, e696–e697. [Google Scholar] [CrossRef] [PubMed]
  22. Felker, G.M.; Stough, W.G.; Shaw, L.K.; O’Connor, C.M. Anaemia and coronary artery disease severity in patients with heart failure. Eur. J. Heart Fail. 2006, 8, 54–57. [Google Scholar] [CrossRef] [PubMed]
  23. Felker, G.M.; Shaw, L.K.; Stough, W.G.; O’Connor, C.M. Anemia in patients with heart failure and preserved systolic function. Am. Heart J. 2006, 151, 457–462. [Google Scholar] [CrossRef]
  24. Caro, J.J.; Salas, M.; Ward, A.; Goss, G. Anemia as an independent prognostic factor for survival in patients with cancer: A systemic, quantitative review. Cancer 2001, 91, 2214–2221. [Google Scholar] [CrossRef]
  25. Stauffer, M.E.; Fan, T. Prevalence of anemia in chronic kidney disease in the United States. PLoS ONE 2014, 9, e84943. [Google Scholar] [CrossRef]
  26. Koskolou, M.; Komboura, S.; Zacharakis, E.D.; Georgopoulou, O.; Keramidas, M.; Geladas, N. Physiological Responses of Anemic Women to Exercise under Hypoxic Conditions. Physiologia 2023, 3, 247–258. [Google Scholar] [CrossRef]
  27. Baker, F.C.; Waner, J.I.; Vieira, E.F.; Taylor, S.R.; Driver, H.S.; Mitchell, D. Sleep and 24 hour body temperatures: A comparison in young men, naturally cycling women and women taking hormonal contraceptives. J. Physiol. 2001, 530, 565–574. [Google Scholar] [CrossRef]
  28. Calbet, J.A.; Lundby, C.; Koskolou, M.; Boushel, R. Importance of hemoglobin concentration to exercise: Acute manipulations. Respir. Physiol. Neurobiol. 2006, 151, 132–140. [Google Scholar] [CrossRef]
  29. Miliotis, P.G.; Ntalapera, S.D.; Lakeas, P.; Loukas, I.; Toubekis, A.G.; Geladas, N.D.; Koskolou, M.D. Cardiorespiratory and oxygenation responses in iron-deficient anemic women during whole-body exercise under moderate hypoxia. Eur. J. Appl. Physiol. 2025. [Google Scholar] [CrossRef]
  30. Jackson, A.S.; Pollock, M.L. Practical Assessment of Body Composition. Phys. Sport. 1985, 13, 76–90. [Google Scholar] [CrossRef] [PubMed]
  31. Kavouras, S.A. Assessing hydration status. Curr. Opin. Clin. Nutr. Metab. Care 2002, 5, 519–524. [Google Scholar] [CrossRef]
  32. Burton, A.C. A New Technic for the Measurement of Average Skin Temperature over Surfaces of the Body and the Changes of Skin Temperature During Exercise: Six Figures. J. Nutr. 1934, 7, 481–496. [Google Scholar] [CrossRef]
  33. Mitchell, D.; Wyndham, C.H. Comparison of weighting formulas for calculating mean skin temperature. J. Appl. Physiol. 1969, 26, 616–622. [Google Scholar] [CrossRef]
  34. Keramidas, M.E.; Geladas, N.D.; Mekjavic, I.B.; Kounalakis, S.N. Forearm-finger skin temperature gradient as an index of cutaneous perfusion during steady-state exercise. Clin. Physiol. Funct. Imaging 2013, 33, 400–404. [Google Scholar] [CrossRef] [PubMed]
  35. ASHRAE. Thermal Comfort Conditions, ASHRAE 55.66; ASHRAE: New York, NY, USA, 1966. [Google Scholar]
  36. Bogert, L.W.; van Lieshout, J.J. Non-invasive pulsatile arterial pressure and stroke volume changes from the human finger. Exp. Physiol. 2005, 90, 437–446. [Google Scholar] [CrossRef]
  37. Gallagher, K.M.; Fadel, P.J.; Smith, S.A.; Norton, K.H.; Querry, R.G.; Olivencia-Yurvati, A.; Raven, P.B. Increases in intramuscular pressure raise arterial blood pressure during dynamic exercise. J. Appl. Physiol. (1985) 2001, 91, 2351–2358. [Google Scholar] [CrossRef]
  38. Sproule, B.J.; Mitchell, J.H.; Miller, W.F. Cardiopulmonary physiological responses to heavy exercise in patients with anemia. J. Clin. Investig. 1960, 39, 378–388. [Google Scholar] [CrossRef]
  39. Koskolou, M.D.; Roach, R.C.; Calbet, J.A.; Radegran, G.; Saltin, B. Cardiovascular responses to dynamic exercise with acute anemia in humans. Am. J. Physiol. 1997, 273, H1787–H1793. [Google Scholar] [CrossRef]
  40. Greaney, J.L.; Stanhewicz, A.E.; Kenney, W.L.; Alexander, L.M. Muscle sympathetic nerve activity during cold stress and isometric exercise in healthy older adults. J. Appl. Physiol. (1985) 2014, 117, 648–657. [Google Scholar] [CrossRef] [PubMed]
  41. Fagius, J.; Kay, R. Low ambient temperature increases baroreflex-governed sympathetic outflow to muscle vessels in humans. Acta Physiol. Scand. 1991, 142, 201–209. [Google Scholar] [CrossRef]
  42. Cui, J.; Durand, S.; Crandall, C.G. Baroreflex control of muscle sympathetic nerve activity during skin surface cooling. J. Appl. Physiol. (1985) 2007, 103, 1284–1289. [Google Scholar] [CrossRef]
  43. Ogoh, S.; Fisher, J.P.; Dawson, E.A.; White, M.J.; Secher, N.H.; Raven, P.B. Autonomic nervous system influence on arterial baroreflex control of heart rate during exercise in humans. J. Physiol. 2005, 566, 599–611. [Google Scholar] [CrossRef]
  44. McArdle, W.D.; Magel, J.R.; Lesmes, G.R.; Pechar, G.S. Metabolic and cardiovascular adjustment to work in air and water at 18, 25, and 33 degrees C. J. Appl. Physiol. 1976, 40, 85–90. [Google Scholar] [CrossRef] [PubMed]
  45. Raven, P.B.; Niki, I.; Dahms, T.E.; Horvath, S.M. Compensatory cardiovascular responses during an environmental cold stress, 5 degrees C. J. Appl. Physiol. 1970, 29, 417–421. [Google Scholar] [CrossRef] [PubMed]
  46. Gonzalez-Alonso, J.; Mora-Rodriguez, R.; Coyle, E.F. Stroke volume during exercise: Interaction of environment and hydration. Am. J. Physiol. Heart Circ. Physiol. 2000, 278, H321–H330. [Google Scholar] [CrossRef]
  47. Wilson, T.E.; Crandall, C.G. Effect of thermal stress on cardiac function. Exerc. Sport. Sci. Rev. 2011, 39, 12–17. [Google Scholar] [CrossRef]
  48. Bianco, A.C.; McAninch, E.A. The role of thyroid hormone and brown adipose tissue in energy homoeostasis. Lancet Diabetes Endocrinol. 2013, 1, 250–258. [Google Scholar] [CrossRef]
  49. Mullur, R.; Liu, Y.Y.; Brent, G.A. Thyroid hormone regulation of metabolism. Physiol. Rev. 2014, 94, 355–382. [Google Scholar] [CrossRef]
  50. Frank, S.M.; Raja, S.N.; Bulcao, C.F.; Goldstein, D.S. Relative contribution of core and cutaneous temperatures to thermal comfort and autonomic responses in humans. J. Appl. Physiol. (1985) 1999, 86, 1588–1593. [Google Scholar] [CrossRef] [PubMed]
  51. Marchant, B.; Donaldson, G.; Mridha, K.; Scarborough, M.; Timmis, A.D. Mechanisms of cold intolerance in patients with angina. J. Am. Coll. Cardiol. 1994, 23, 630–636. [Google Scholar] [CrossRef]
  52. Juneau, M.; Johnstone, M.; Dempsey, E.; Waters, D.D. Exercise-induced myocardial ischemia in a cold environment. Effect of antianginal medications. Circulation 1989, 79, 1015–1020. [Google Scholar] [CrossRef] [PubMed]
  53. Sato, K. The physiology, pharmacology, and biochemistry of the eccrine sweat gland. Rev. Physiol. Biochem. Pharmacol. 1977, 79, 51–131. [Google Scholar] [CrossRef] [PubMed]
  54. Shibasaki, M.; Crandall, C.G. Mechanisms and controllers of eccrine sweating in humans. Front. Biosci. (Schol. Ed.) 2010, 2, 685–696. [Google Scholar] [CrossRef]
  55. Schafer, E.A.; Chapman, C.L.; Castellani, J.W.; Looney, D.P. Energy expenditure during physical work in cold environments: Physiology and performance considerations for military service members. J. Appl. Physiol. (1985) 2024, 137, 995–1013. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (A) Mean arterial pressure, (B) cardiac output, (C) total peripheral resistance, and (D) heart rate during rest and 20 min of exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. †: significant difference between ANC and ANN (p < 0.05). Data are presented as mean ± sd.
Figure 1. (A) Mean arterial pressure, (B) cardiac output, (C) total peripheral resistance, and (D) heart rate during rest and 20 min of exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. †: significant difference between ANC and ANN (p < 0.05). Data are presented as mean ± sd.
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Figure 2. Oxygen uptake responses during exercise for anemic (n = 9) and control (n = 9) participants, in neutral and cold environmental conditions. *: Significant difference between environments (p = 0.036). Data are presented as mean ± sd.
Figure 2. Oxygen uptake responses during exercise for anemic (n = 9) and control (n = 9) participants, in neutral and cold environmental conditions. *: Significant difference between environments (p = 0.036). Data are presented as mean ± sd.
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Figure 3. (A) Mean skin temperature and (B) sweat rate plotted against change in rectal temperature during exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. ‡: Significant difference between ANC and CONC (p < 0.05). †: Significant difference only between ANC and ANN (p < 0.05). #: Significant difference between environments for both groups (p < 0.02). Data are presented as mean ± sd.
Figure 3. (A) Mean skin temperature and (B) sweat rate plotted against change in rectal temperature during exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. ‡: Significant difference between ANC and CONC (p < 0.05). †: Significant difference only between ANC and ANN (p < 0.05). #: Significant difference between environments for both groups (p < 0.02). Data are presented as mean ± sd.
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Figure 4. (A) Thermal sensation at rest and specific time points during exercise and (B) vasomotor activity (gradient of forearm-finger skin temperatures) plotted against change in rectal temperature during exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. ‡: Significant difference between ANC and CONC (p < 0.01). #: Significant difference between environments for both groups (p < 0.05). Data are presented as mean ± sd.
Figure 4. (A) Thermal sensation at rest and specific time points during exercise and (B) vasomotor activity (gradient of forearm-finger skin temperatures) plotted against change in rectal temperature during exercise in anemic participants (n = 9) at neutral (ANN) and cold (ANC) and for controls (n = 9) in neutral (CONN) and cold (CONC) environmental conditions, respectively. ‡: Significant difference between ANC and CONC (p < 0.01). #: Significant difference between environments for both groups (p < 0.05). Data are presented as mean ± sd.
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Table 1. Participants’ baseline hematological and anthropometric characteristics.
Table 1. Participants’ baseline hematological and anthropometric characteristics.
CharacteristicsANCONp Value
N (M/F)9 (4/5)9 (4/5)
Height (cm)169 ± 8171 ± 80.62
Body mass (kg)62 ± 863 ± 110.86
Body fat (%)17 ± 616 ± 60.79
BSA (m2)1.72 ± 0.151.74 ± 0.180.78
[Hb] (g/dL)11.8 ± 0.414.1 ± 0.90.0001
Hct (%)37.1 ± 1.842.3 ± 2.70.0001
Fe (μg/dL)53 ± 1693 ± 130.0001
Ferritin (ng/mL)15 ± 956 ± 120.0001
VO2max Neutral (mL·kg−1·min−1)40.6 ± 4.746.3 ± 7.10.06
VO2max Cold (mL·kg−1·min−1)41.1 ± 4.946.7 ± 6.60.07
Data are presented as mean ± sd. BSA: Body surface area, [Hb]: hemoglobin concentration, Hct: hematocrit, Fe: serum iron.
Table 2. Participants’ temperature regulation parameters at rest and during exercise.
Table 2. Participants’ temperature regulation parameters at rest and during exercise.
VariablesANNANCCONNCONC
Tre Rest (°C)37.02 ± 0.1337.08 ± 0.1537.05 ± 0.1337.06 ± 0.20
Tre End exercise (°C)38.01 ± 0.1037.93 ± 0.1538.02 ± 0.1638.03 ± 0.1
Tre increase (°C·min−1), value × 1002.69 ± 0.91.84 ± 0.9 *#2.74 ± 0.42.88 ± 0.5
Exercise time to increase +1 °C or 1 h duration (min)41.3 ± 12.152.8 ± 9.3 *#35.8 ± 5.438.2 ± 8.8
Hprod (W)610 ± 105606 ± 107645 ± 204710 ± 236 *
Hprod (W·kg−1)9.8 ± 1.49.7 ± 1.010.1 ± 1.711.1 ± 2.2 *
Hprod (W·m−2)355 ± 48352 ± 42365 ± 78402 ± 94 *
Threshold (°C) for SwR increase (g·cm−2·min−1)0.15 ± 0.10.33 ± 0.2 **0.14 ± 0.00.21 ± 0.1 **
Data are presented as mean ± sd. ANN: anemia + neutral; ANC: anemia + cold; CONN: control + neutral; CONC: control + cold; all groups n = 9. Tre: rectal temperature. Hprod: heat production in absolute (W), relative to body mass (W·kg−1), and relative to body surface area (W·m−2). SwR: sweat rate. *: Significant difference between environments (p < 0.05). **: Significant difference between environments (p < 0.01). #: significant difference between groups for the same environment.
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MDPI and ACS Style

Miliotis, P.; Ntalapera, S.; Lakeas, P.; Toubekis, A.; Geladas, N.; Koskolou, M. Cardiovascular and Thermal Responses to Cold Exposure During Exercise in Iron-Deficient Anemic Individuals. J. Funct. Morphol. Kinesiol. 2025, 10, 362. https://doi.org/10.3390/jfmk10030362

AMA Style

Miliotis P, Ntalapera S, Lakeas P, Toubekis A, Geladas N, Koskolou M. Cardiovascular and Thermal Responses to Cold Exposure During Exercise in Iron-Deficient Anemic Individuals. Journal of Functional Morphology and Kinesiology. 2025; 10(3):362. https://doi.org/10.3390/jfmk10030362

Chicago/Turabian Style

Miliotis, Panagiotis, Spyridoula Ntalapera, Panagiotis Lakeas, Argyris Toubekis, Nickos Geladas, and Maria Koskolou. 2025. "Cardiovascular and Thermal Responses to Cold Exposure During Exercise in Iron-Deficient Anemic Individuals" Journal of Functional Morphology and Kinesiology 10, no. 3: 362. https://doi.org/10.3390/jfmk10030362

APA Style

Miliotis, P., Ntalapera, S., Lakeas, P., Toubekis, A., Geladas, N., & Koskolou, M. (2025). Cardiovascular and Thermal Responses to Cold Exposure During Exercise in Iron-Deficient Anemic Individuals. Journal of Functional Morphology and Kinesiology, 10(3), 362. https://doi.org/10.3390/jfmk10030362

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