Journal of Applied Physiology Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Appl Physiol 88: 1103-1111, 2000;
8750-7587/00 $5.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (46)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hinton, P. S.
Right arrow Articles by Haas, J. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hinton, P. S.
Right arrow Articles by Haas, J. D.
Vol. 88, Issue 3, 1103-1111, March 2000

Iron supplementation improves endurance after training in iron-depleted, nonanemic women

Pamela S. Hinton, Christina Giordano, Thomas Brownlie, and Jere D. Haas

Division of Nutritional Sciences, Cornell University, Ithaca, New York 14853


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Our objective was to investigate the effects of iron depletion on adaptation to aerobic exercise, assessed by time to complete a 15-km cycle ergometer test. Forty-two iron-depleted (serum ferritin <16 µg/l), nonanemic (Hb >12 g/dl) women (18-33 yr old) received 100 mg of ferrous sulfate (S) or placebo (P) per day for 6 wk in a randomized, double-blind trial. Subjects trained for 30 min/day, 5 days/wk at 75-85% of maximum heart rate for the final 4 wk of the study. There were no group differences in baseline iron status or in 15-km time. Iron supplementation increased serum ferritin and decreased transferrin receptors in the S compared with the P group. The S and P groups decreased 15-km time and respiratory exchange ratio and increased work rate during the 15-km time trial after training. The decrease in 15-km time was greater in the S than in the P group (P = 0.04) and could be partially attributed to increases in serum ferritin and Hb. These results indicate that iron deficiency without anemia impairs favorable adaptation to aerobic exercise.

iron deficiency; endurance capacity; aerobic training; serum transferrin receptors


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

THE PREVALENCE OF IRON DEFICIENCY anemia in US women 18-44 yr of age has been estimated to be 3-5%, whereas the prevalence of iron deficiency without anemia is much higher, ranging from 11 to 13% (18). Furthermore, regular aerobic exercise results in depletion of body iron stores (4, 14, 19), placing a significant number of young women at risk for iron deficiency as they engage in regular physical activity, which is recommended as part of a healthy lifestyle.

Decreased work capacity [i.e., maximal O2 utilization (VO2 max)] due to iron deficiency anemia in humans has been well documented (5, 6, 11, 29) and is attributed to insufficient O2 transport by Hb to peripheral tissues. In contrast, the effects of iron depletion without anemia on physical performance have not been well characterized.

With moderate iron deficiency, iron stores are depleted but Hb remains above a specified cutoff point for anemia, and neither O2-carrying capacity of the blood nor VO2 max is compromised (15, 23, 32). However, animal studies have shown that the activities of iron-containing muscle mitochondrial oxidative enzymes and respiratory proteins are decreased during iron deficiency without anemia (7, 8, 30). Because of the role of these iron-dependent enzymes and proteins in oxidative metabolism, it is expected that iron deficiency without anemia would impair the ability to sustain physical performance at 65-85% of maximal capacity, i.e., endurance. Iron-deficient rats with Hb concentrations normalized by transfusion of erythrocytes have compromised endurance capacity in conjunction with decreased oxidative capacity of skeletal muscle (7, 8). In addition, aerobic training induces increases in iron-dependent mitochondrial enzyme and respiratory chain cytochrome activities (12, 13). Thus iron deficiency may also impair the adaptive response to aerobic training.

Studies in experimental animals have demonstrated that iron deficiency severe enough to impair Hb production alters heme and nonheme iron adaptations to training. Tobin et al. (28) showed that iron deficiency, sufficient to reduce Hb ~50% compared with control rats, prevented improvements in VO2 max after 12 wk of endurance training (1.5 h/day, 4 days/wk at 65% VO2 max). The effects of iron deficiency on nonheme iron responses to training were not reported in this investigation. After a more moderate 4-wk training regimen (1.0 h/day, 6 days/wk at 65% VO2 max), Willis et al. (31) found that iron-deficient rats (Hb ~50% of controls) improved VO2 max and endurance but iron-sufficient rats did not. These adaptations in the iron-deficient animals were associated with increased activities of tricarboxylic acid cycle enzymes in skeletal muscle and heart and NADH oxidase in liver, which were absent in iron-sufficient animals. After a similar training protocol, Willis et al. (30) also reported increased cytochrome c, tricarboxylic acid cycle enzymes, and manganese superoxide dismutase activities in skeletal muscle of iron-deficient, but not iron-sufficient, animals (30). These studies demonstrate that heme and nonheme iron responses to training are altered by iron deficiency.

The effects of iron depletion without anemia on adaptation to training in young women have not been fully characterized. Iron supplementation of iron-deficient, but not anemic (Hb >120 g/l), women who were physically active (16) or who underwent a prescribed training program (20) significantly increased Hb, serum ferritin (sFer), and VO2 max compared with placebo. In both studies, change in VO2 max was significantly and positively associated with change in Hb in the iron-supplemented women. Newhouse et al. (23) found that iron supplementation increased sFer in iron-depleted, nonanemic female runners but did not alter Hb or VO2 max. These studies are consistent with the idea that O2 delivery to the peripheral tissues is the primary determinant of VO2 max (26). Because Hb concentration was increased in the iron-treated women in these studies, the authors were unable to assess the effects of iron deficiency independent of O2-carrying capacity on performance. Rowland et al. (25) found that iron supplementation of iron-depleted runners who continued their normal training regimen resulted in significant improvements in treadmill running times and sFer concentrations but did not alter Hb or VO2 max. However, there was a significant, positive association between changes in treadmill running time and changes in sFer. Klingshirn et al. (15), in a similar supplementation trial of iron-deficient women runners, demonstrated significant increases in sFer but no effect on Hb, VO2 max, or endurance after supplementation compared with placebo.

The results of the animal and human studies, taken together, suggest that iron deficiency impairs the adaptive response to training at maximal levels by preventing attainment of optimal Hb and at submaximal levels by impairing oxidative capacity of peripheral tissues. However, the effects of iron deficiency without anemia on the response to endurance training and on submaximal work capacity in previously untrained women have yet to be elucidated.

Previous work from this laboratory has demonstrated that iron depletion without anemia reduces the endurance capacity of untrained women by increasing energy expenditure and fractional O2 utilization (%VO2 max) after controlling for work rate (34). The goal of this follow-up study was to determine whether iron depletion impairs the ability of nonanemic, previously untrained women to increase endurance capacity in response to 4 wk of aerobic training on a cycle ergometer. The specific objectives of this investigation were 1) to study the effects of iron supplementation on endurance capacity as assessed by performance during a 15-km time trial on a cycle ergometer, 2) to test the effects of iron supplementation on metabolic adaptations to training during the time trial, including ventilation, gas exchange, and plasma lactate concentrations, and 3) to investigate the relation of iron status indicators to endurance capacity and energy metabolism during the time trial after 4 wk of physical training.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subjects. Two hundred seventy-one physically active, untrained 19- to 35-yr-old women were recruited from the local community. Forty-nine women were identified as iron-depleted without anemia on the basis of Hb concentrations >120 g/l and sFer concentrations <16 µg/l in preliminary screenings. After physical examination, including a medical history, no subjects were found to possess the following exclusion criteria: current pregnancy or pregnancy within the previous year, recent infectious illness or fever, hemolytic anemia, asthma, musculoskeletal problems, recent history of eating disorders, smoking, excess alcohol consumption, recent use of recreational drugs, consumption of prescription medications that may interfere with dietary iron absorption, or participation in competitive athletics.

Data from four women were excluded from data analysis because of high baseline ferritin concentrations, indicating that their screening ferritins misclassified them as iron depleted, and three women dropped out for personal reasons unrelated to the study. Thus 42 women qualified and were willing to participate in the study. Signed informed consent was obtained from each subject. This study was approved by the Cornell University Committee on Human Subjects.

Study design. The experimental design of the study was a randomized, double-blind, placebo-controlled intervention trial. Subjects were randomly assigned to two groups, receiving an iron supplement or a placebo; all subjects completed 4 wk of aerobic training. Subjects took an iron supplement of 50 mg of ferrous sulfate (10 mg of elemental iron) or an identical placebo capsule two times a day for 6 wk. Previous work in our laboratory demonstrated that iron status is improved after 4 wk of iron supplementation by use of a similar dose of ferrous sulfate (33). The capsules were prepared in our laboratory with the use of gelatin capsules (Apothecary Products, Minneapolis, MN), ferrous sulfate, and lactose filler. The iron content of the capsules was determined from a random sample of 20 capsules [49.4 ± 4.2 (SD) mg of ferrous sulfate]. The subjects were instructed to consume the capsules with citrus juice to enhance iron absorption and with meals to reduce side effects. They were also instructed to avoid consumption of any other multivitamin and mineral supplements during the entire study period. Subjects recorded capsule ingestion, consumption of medication, illness, menstrual status, gastrointestinal symptoms, physical activity, and musculoskeletal problems in a daily log. Unsolicited verbal reports from the subjects indicated that they were unable to detect whether they received iron or placebo.

After 2 wk of iron or placebo treatment, exercise training was initiated. The 4-wk training regimen (5 sessions/wk) was performed on a cycle ergometer (Cateye ergociser E-3200) equipped with a heart rate (HR) monitor and digital output of cadence and work (in W). The training sessions included a 4-min warm-up followed by a 25-min cycling session divided between workloads that allowed subjects to achieve a target HR of 75% of maximum HR (HRmax) and 85% HRmax. Over the course of the 4-wk training program, the time spent at 75% HRmax was decreased from 20 to 10 min, with a corresponding increase in the duration of cycling at 85% HRmax (i.e., 20 min at 75% HRmax and 5 min at 85% HRmax in week 1 and 10 min at 75% HRmax and 15 min at 85% HRmax in week 4). Previous studies have demonstrated that aerobic exercise of similar intensity and duration is sufficient to produce measurable improvements in endurance capacity (3). Subjects recorded HR, average cadence, and work (in W) for each training session in a training log.

Prestudy habitual physical activity levels were assessed by a frequency questionnaire, which was analyzed using the method described previously (32) to obtain a physical activity score for each subject. This was done to confirm similar habitual physical activity between groups after randomization. To ensure that the prescribed training regimen was the only additional source of physical activity, subjects were asked to maintain their prestudy activity level during the entire study period. To maximize the potential to respond to physical training, highly trained women and competitive athletes were excluded from the study.

For all subjects, body composition and physical performance were measured immediately before and after the 6-wk treatment period. In addition, baseline dietary iron intake was assessed by a dietary record over 4 consecutive days, including 1 weekend day. The dietary records were analyzed using Nutritionist IV (Hearst, San Bruno, CA) to quantify dietary iron intake.

Physiological measurements. Exercise tests (VO2 max and 15-km time trial) were conducted on a mechanically braked and calibrated cycle ergometer (model 818E, Monark, Varberg, Sweden) with a computerized metabolic cart (Physiodyne, Quogue, NY) in the Human Bioenergetics Laboratory at Cornell University. The ergometer was equipped with a digital readout of cadence (in rpm) or distance (in km) pedaled. Concentrations of O2 and CO2 in expired air and respiratory volume were analyzed with gas analyzers (Ametek, Pittsburgh, PA) and a respiratory pneumotachograph (Fitco Micro Flow, Fitness Instrument Technologies, Farmingdale, NY) through a breathing valve (Hans Rudolph, Kansas City, MO). Data output from the instruments was directed to an IBM 386 computer for the breath-by-breath calculation of O2 consumption (VO2), CO2 production (VCO2), respiratory exchange ratio (RER, VCO2/VO2), and minute ventilation. HR was monitored throughout the tests with an electrocardiograph (Burdick, Milton, WI).

Subjects were asked not to perform any strenuous physical activities 2 days before the exercise tests. To control for the effects of dietary intake before exercise testing, subjects were instructed to start recording food intake 3 days before the pretreatment exercise testing and to continue until the last day of pretreatment testing; they were further instructed to repeat the same dietary intake for the posttreatment exercise tests. In addition, the posttreatment exercise tests were repeated at approximately the same time of day as the pretreatment tests to minimize the effects of acute differences in dietary intake and time of day. Subjects were instructed not to consume food or caffeinated or carbonated beverages within the 3 h preceding the exercise tests.

To standardize the relative intensity of the workload for each subject during the 15-km time trial at 70% VO2 max, maximal aerobic capacity was determined. The protocol was a modification of that described by McArdle and Magel (22) for the cycle ergometer. Testing began with a 5-min warm-up at 30 W and a pedaling cadence of 60 rpm. The workload was increased by 30-W intervals every 2 min until VO2 stopped increasing or the subject could not continue. VO2 max was achieved if two of three of the following criteria were met: VO2 increased by <150 ml with an increase in workload, RER was >1.10, or HRmax was within ±10 beats of age-predicted maximum (220 - age in yr). Test-retest reliability for the VO2 max test for similar subjects in our laboratory is r = 0.91.

Endurance capacity was tested by a 15-km time trial administered 2 days after the VO2 max test. Performance was measured as time to complete the 15-km time trial. Subjects were asked to finish the time trial as quickly as possible, against a predetermined resistance. The level of the resistance allowing the subject to achieve 70% of VO2 max while pedaling at 60 rpm was determined for each individual on the basis of her pretreatment VO2 max test. The same resistance level was used at the posttreatment endurance test. Standardized words of encouragement were used by the investigator throughout the test. During the test, VO2, VCO2, and HR were continuously monitored. Cadence was recorded each minute and was used to calculate absolute work rate. Test-retest reliability of this protocol determined in our laboratory is r = 0.93 for average VO2 during the time trial and r = 0.99 for average work rate during the time trial.

Blood samples were obtained by finger punctures immediately before the time trial, after 5, 10, and 15 km, and 10 min after completion of the time trial. Blood samples were drawn into 100-µl heparinized capillary tubes, sealed, stored on ice, centrifuged immediately after the test, and stored at -20°C for determination of lactate concentration. Lactate concentration in plasma was determined enzymatically (Sigma Diagnostics, St. Louis, MO). Pre- and posttreatment samples for each subject were analyzed concurrently at the completion of the study to eliminate variation in assay conditions.

Body size and composition were measured in the Human Body Composition Laboratory at Cornell University. Anthropometry (weight and height) was assessed using standard procedures described in Lohman et al. (17). Body fat (i.e., fat mass) and fat-free mass were assessed by densitometry following the technique described by Aker and Buskirk (1). The Siri equation adapted for women was used, with the assumption that the density of fat-free mass is 1.096 g/ml.

Iron status measurements. Iron status was assessed at screening and before, at the midpoint (3 wk), and after iron treatment (6 wk). Blood samples were obtained from the seated subject in the fasted state from the antecubital vein into two evacuated tubes: one contained EDTA, and the other was empty. Hb and hematocrit were assayed in whole blood immediately after sample collection. Coagulated blood was separated immediately by centrifugation at 1,640 g for 10 min at room temperature. Aliquots of serum samples were frozen at -20°C. To control for potential variation in assay conditions, serum samples [serum transferrin receptor (sTfR), sFer, and iron (sFe) and total iron-binding capacity (TIBC)] for the same subject at all three time points were analyzed concurrently at the completion of the study.

Hb was determined by the cyanomethemoglobin method described by van Assendelft and England (2) (Sigma Diagnostics). Hematocrit was determined by the microhematocrit method. sTfR and sFer were assessed by ELISA according to the methods of Flowers et al. (9, 10) (Ramco Laboratories, Houston, TX). Transferrin saturation (TS) was determined from the ratio of sFe to TIBC by the method described by Persijin et al. (24) (Sigma Diagnostics). To control for day-to-day variation and to increase measurement precision, the averages of two independent measures of Hb and sFer concentrations, at screening and before iron treatment, which were 3-7 days apart, were used as the pretreatment concentrations.

Statistical analysis. Data were examined to verify normality of distribution. The physical activity data showed a skewed distribution, and statistical analysis was performed on logarithmically transformed data. Independent Student's t-test was used to test group differences at baseline. Repeated-measures ANOVA was used to test group and time effects as well as group-by-time interactions for measures of iron status. Regression analysis with baseline measurements as covariates was used to analyze group differences in posttreatment iron status or physical performance. The effects of final iron status on final outcome variables were analyzed by multiple linear regression analysis (GLM), controlling for baseline outcome values and iron status as well as other potential confounding or mediating factors. Statistical significance was indicated at P < 0.05. Values are means ± SE. To test whether initial iron status modifies the effects of supplementation on outcome variables, appropriate interaction terms were included in the multiple linear regression model. An interaction was considered statistically significant at P < 0.2. All statistical analyses were performed using SAS version 6.0 (27) on a personal computer.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subject characteristics. The placebo and supplemented groups were of similar age (20.0 ± 0.4 and 21.0 ± 0.8 yr, respectively) and height (1.67 ± 0.02 and 1.66 ± 0.01 m, respectively). Body weight and composition did not differ between the two groups before or after the study, nor were there significant changes during the study (Table 1). Habitual physical activity did not differ between groups, nor were there significant group differences in the number of training sessions or total work performed during the training (data not shown). There were no group differences in dietary iron intake on the basis of the 4-day diet records (14.8 ± 1.9 and 14.7 ± 1.1 mg iron/day for placebo and supplemented groups, respectively). Likewise, there were no group differences in reported symptomology associated with iron treatment.

                              
View this table:
[in this window]
[in a new window]
 
Table 1.   Anthropometry of subjects before and after 6 wk of iron or placebo treatment and 4 wk of exercise training

Response to iron treatment. Results of analysis of blood indexes of iron status measured at 0, 3, and 6 wk of the study are shown in Table 2. There were no significant group differences in any measure of iron status at baseline. After 3 wk of treatment, the iron-supplemented group exhibited significant increases in sFer, sFe, and TS above baseline values that persisted after 6 wk of treatment. In the supplemented group the sTfR concentration decreased over the course of the study and was significantly less than baseline after 6 wk of iron treatment. Response of sTfR to the iron supplement was dependent on initial sTfR, such that women who began the study with higher sTfR (i.e., lower tissue iron) exhibited a greater decrease in sTfR by the end of the study (supplementation by initial sTfR interaction P = 0.019). In the placebo group, there were no significant changes in any indicator of iron status throughout the course of the study. sFer, sFe, and TS were significantly greater and sTfR was significantly lower in the iron-supplemented group than in the placebo group after 6 wk of treatment. There was a significant negative correlation between sTfR and sFer at baseline (r = -0.56) and 6 wk (r = -0.70), whereas Hb was positively correlated with Hct (r = 0.74 and 0.88) and TS (r = 0.64 and 0.62) at both time points.

                              
View this table:
[in this window]
[in a new window]
 
Table 2.   Serum indicators of iron status after 0, 3, and 6 wk of iron or placebo treatment and 4 wk of exercise training

Time trial. Results of the physical performance measurements taken during the 15-km time trial before and after iron treatment and exercise training are presented in Table 3. There were no significant differences between the supplemented and placebo groups at baseline, although VO2 max tended to be lower (Table 3), %VO2 max tended to be higher, and more time was taken to complete the test (P < 0.1) in the supplemented group compared with placebo. Posttest VO2 max, RER, work rate, and time to complete the time trial were significantly improved in both groups, suggesting a positive effect of the 4-wk training regimen.

                              
View this table:
[in this window]
[in a new window]
 
Table 3.   Physical performance during a 15-km cycle ergometer time trial before and after 6 wk of iron or placebo treatment and 4 wk of exercise training

Time to finish the time trial. There was a significant effect of iron supplementation on time to complete the 15-km time trial. The supplemented group showed an improvement in finishing time twice that of the placebo group (-1.6 ± 0.5 and -3.4 ± 0.6 min for placebo and supplemented groups, respectively), controlling for baseline time to complete the time trial. The improved finishing time by the supplemented group was primarily due to faster times in the second (P = 0.082) and third (P = 0.027) 5-km segments of the time trial (Fig. 1).


View larger version (12K):
[in this window]
[in a new window]
 
Fig. 1.   Posttreatment time to complete each segment of 15-km time trial, with control for pretreatment 15-km time and posttreatment time trial work rate. * P = 0.08; dagger  P = 0.02.

To assess further the effect of iron status on time to complete the time trial, multiple linear regression analysis was used with time to finish as the dependent variable and indicators of iron status as independent variables, controlling for potential confounders such as %VO2 max, absolute work rate, and training level. Only absolute work rate was correlated with 15-km time, and it was included as a covariate in all regression models. Model 1 in Table 4 shows that supplementation decreased time to finish by 1.61 ± 0.76 min (P = 0.04), controlling for baseline time to finish and posttest work rate during the time trial. After addition of either initial and final sFer (Table 4, model 2) or Hb (Table 4, model 4) to the model, the significance of supplementation as a predictor of completion time was reduced, indicating that the effect of supplementation was partially due to changes in iron status. Final sTfR accounted for a greater proportion of the supplementation effect compared with Hb (Table 4, models 2 and 4). Adding sTfR to the model decreased the group coefficient ~70% (beta group decreased from -1.612 to -0.437), whereas including Hb in the model decreased the group coefficient only 20% (beta group decreased from -1.612 to -1.267).

                              
View this table:
[in this window]
[in a new window]
 
Table 4.   Multiple regression analysis of effects of changes in iron status on time to complete posttreatment time trial

Energy expenditure and absolute work rate. The rate of energy expenditure during the time trial was calculated for each subject on the basis of her average VO2 and average nonprotein RER during the time trial (Table 5) after McArdle et al. (21). The total energy expended during the time trial was similar in the pre- and posttests for both treatment groups. The supplemented group was less efficient than the placebo group at baseline on the basis of energy expenditure (in kcal) per unit of work performed (in W). The iron-supplemented group significantly increased the rate of energy expenditure 0.57 ± 0.23 kcal/min above baseline, whereas the placebo group was unchanged. There were no significant group differences in total energy expenditure or in the rate of energy expenditure, controlling for baseline energy expenditure and absolute work rate or %VO2 max. The results of multiple linear regression analysis to examine relationships between energy expenditure, work rate, efficiency, and iron status are shown in Table 6. Total energy expended during the 15-km time trial was significantly and negatively associated with the change in Hb concentration from 0 to 6 wk, after controlling for pretreatment energy expenditure. For every 1 g/l increase in Hb there was a 1.04-kcal decrease in energy expended. Similarly, there was a significant positive relationship between changes in Hb and absolute work rate during the time trial, after controlling for initial work rate. As a result, changes in Hb were positively associated (P = 0.09) with changes in efficiency (i.e., the energy expended per watt of work performed).

                              
View this table:
[in this window]
[in a new window]
 
Table 5.   Energy expenditure during a 15-km cycle ergometer time trial before and after 6 wk of iron or placebo treatment and 4 wk of exercise training


                              
View this table:
[in this window]
[in a new window]
 
Table 6.   Multiple regression analysis of effects of changes in Hb on energy expenditure, work rate, and efficiency during posttreatment time trial

%VO2 max and RER. The iron-supplemented group significantly decreased %VO2 max, increased average VO2, and tended to increase total O2 consumed during the time trial (+4.2 ± 2.3 liters of O2, P = 0.08) compared with baseline, whereas in the placebo group, these parameters remained unchanged (Table 3). At 6 wk, both groups significantly decreased average RER for the test and increased the absolute work rate. There were no significant group differences in final %VO2 max or final RER. Multiple linear regression was used to further explore the relationships between iron status and posttreatment %VO2 max and RER, controlling for pretreatment performance and potential confounders, i.e., work rate and training. For %VO2 max, there was a significant positive relationship with final sTfR (beta  = 1.14, P = 0.005) after controlling for training, pretreatment %VO2 max, and initial sTfR (equation not shown), indicating that for each 1 µg/l decrease in sTfR, there was a 1.14% decrease in %VO2 max during the final time trial.

Physical performance during the final 5 km. Because the effect of supplementation was greatest in the time to complete the final 5-km segment of the time trial (Fig. 1), the metabolic responses during this portion of the test were analyzed separately (Table 7). This was done to test for group differences that may not have been evident when the entire 15-km test was analyzed as a whole. However, the results for the final 5 km were similar to those for the entire test. Both groups significantly decreased RER and energetic efficiency during the last 5 km in the posttest compared with baseline. The iron-supplemented group significantly increased average VO2, decreased %VO2 max, and increased the rate of energy expenditure (i.e., kcal/min) in the posttest compared with baseline.

                              
View this table:
[in this window]
[in a new window]
 
Table 7.   Physical performance during final 5-km segment of 15-km cycle ergometer time trial before and after 6 wk of iron or placebo treatment and 4 wk of exercise training

Initial iron status and adaptation to training. Initial iron status modified the effect of iron supplementation on adaptation to training. That is, there were significant interactive effects between supplementation and initial sTfR concentrations on changes in physical performance. The effect of supplementation to decrease 15-km time (supplementation by initial sTfR interaction P = 0.18) and %VO2 max (supplementation by initial sTfR interaction P = 0.03) and to increase absolute work rate (supplementation by initial sTfR interaction P = 0.17) was greater in women with lower initial tissue iron stores. This result is similar to the interactive effect between initial sTfR and supplementation on final sTfR described above.

Lactate. Changes in serum lactate over the course of the 15-km time trial are shown in Table 8. As expected, lactate levels increased ~2.5-fold above the pretest value after the first 5 km of the time trial and remained elevated for the duration of the test. Serum lactate was significantly reduced in the posttreatment time trial at four of the five time points in both groups (i.e., week 0 vs. week 6). There were no differences between the treatment groups in pretreatment lactate levels (i.e., at week 0), nor were there significant differences during the posttreatment trial after controlling for pretreatment and pretest lactate and work rate during the final time trial test.

                              
View this table:
[in this window]
[in a new window]
 
Table 8.   Plasma lactate response during 15-km cycle ergometer time trial before and after 6 wk of iron or placebo treatment and 4 wk of exercise training


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Improvements in endurance demonstrate that the training regimen employed in this study was adequate to induce physiological adaptation. Likewise, the supplementation regimen effectively improved iron status. After 3 wk of iron supplementation, sFer, sFe, and TS increased significantly from baseline in the iron-treated group and were significantly greater than in the placebo group. sTfR improved significantly after 6 wk of supplementation and was significantly reduced compared with placebo.

Iron supplementation enhanced the favorable adaptive response to training, as evidenced by a greater improvement in time to finish the 15-km time trial than with the placebo (Table 3). The greater improvement in the supplemented group was due to faster times in the second and third 5-km segments of the test, suggesting that these women were better able to sustain the workload at the end of the time trial and thus had increased their endurance capacity (Fig. 1). Furthermore, the plausibility that the supplementation effect on time to complete the time trial was due to changes in iron status was substantiated by linear regression analysis. This analysis demonstrated that the supplementation effect could be partially attributed to improvements in sFer and, to a lesser extent, in Hb (Table 4). This is consistent with the significant, positive association between change in endurance time and sFer in runners who maintained their usual training reported by Rowland et al. (25).

Although time to finish the 15-km time trial was significantly improved with iron supplementation, there were no significant differences in other measures of physical performance assessed during the time trial test. The training regimen employed in this study produced significant improvements in fitness that may have overridden any additional benefits of iron supplementation. For example, LaManca and Haymes (16) found a 3% decrease in %VO2 max during a time-to-exhaustion endurance test after 8 wk of iron supplementation in women with mild anemia; in the present study, %VO2 max was decreased ~5% in the placebo group after 4 wk of training. Furthermore, studies in rats have shown that iron deficiency does not obviate the ability to respond to endurance exercise via non-iron-dependent mechanisms (e.g., cardiovascular improvements) (31).

Multiple linear regression analysis showed that changes in iron status were related to changes in physical performance independent of the supplementation effect. Decreases in sTfR were positively associated with improvements in %VO2 max, suggesting increased efficiency of O2 utilization at the tissue level with improved tissue iron status. This finding is consistent with tissue iron, i.e., muscle oxidative capacity, being a limiting factor in endurance capacity (8, 30, 31).

The women in this study were not anemic on the basis of a cutoff of Hb >120 g/l. However, multiple regression analysis demonstrated that energetic efficiency was improved with increases in Hb. Improvements in Hb resulted in decreased energy expenditure, increased work rate, and increased efficiency during the time trial (Table 6). Zhu and Haas (34) found a similar functional anemia in untrained women with Hb >120 g/l, evidenced by negative associations between Hb and time, %VO2 max, and lactate during the same 15-km time trial protocol used in this study. That is, women with Hb >120 g/l may still be functionally anemic, having an Hb concentration that is not sufficient for optimal physical performance in stressful situations such as a 15-km time trial. The potential for functional anemia is greater in the present study because of the 4-wk aerobic training regimen, which may further increase the demand for greater O2-carrying capacity (i.e., Hb) and tissue iron. Studies by Magazanik et al. (20) and LaManca and Haymes (16) demonstrating increases in Hb with iron supplementation and significant, positive associations between changes in Hb and VO2 max in physically active women who were not anemic (i.e., Hb >120 g/l) also support a functional anemia associated with training.

Investigations of the effect of iron supplementation on blood lactate response during sustained submaximal exercise are equivocal and depend on the severity of the iron deficiency, level of exertion during the test, and fitness level of the subjects. LaManca and Haymes (16) reported a significant decrease in lactate in iron-supplemented women after an endurance test compared with placebo, whereas Klingshirn et al. (15) found no significant supplement effect on posttest lactate. The discrepancy may be attributed to differences in initial iron status between the two studies. The athletes in the study by LaManca and Haymes had lower initial Hb, which significantly improved with supplementation, whereas Hb was unchanged by supplementation in the study by Klingshirn et al. In the present study, no effect of iron supplementation on blood lactate was found during or after the time trial, nor was Hb changed due to supplementation. Another possible explanation for the lack of supplementation effect on lactate during the time trial is the large training effect (lactate decreased ~20% in the placebo group; Table 8) which may have obscured any additional supplementation effect.

In conclusion, we have demonstrated that iron supplementation enhances favorable physiological adaptation to endurance training and thus increases endurance capacity in iron-depleted, nonanemic women. Furthermore, associations between improved Hb, sFer, and sTfR status and physical performance during prolonged, submaximal exercise suggest that tissue iron stores and, to a lesser extent, O2-carrying capacity mediate the adaptation to aerobic training. These results are relevant for exercising young women whose dietary patterns and physical activity levels increase their risk of iron deficiency and suggest that repletion of iron stores may maximize the benefits of aerobic training.


    ACKNOWLEDGEMENTS

We gratefully acknowledge the assistance of Linda Bennett, Jackie Cohen, and Nazaneen Grant.


    FOOTNOTES

This work was supported in part by the Mead Johnson Research Fund and National Institute of Child Health and Human Development Training Grant HD-07331.

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.

Address for reprint requests and other correspondence: J. D. Haas, Div. of Nutritional Sciences, 127 Savage Hall, Cornell University, Ithaca, NY 14853-6301 (E-mail: jdh12{at}cornell.edu).

Received 19 June 1999; accepted in final form 27 October 1999.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   Aker, R., and E. Buskirk. An underwater weighing system utilizing "force cube" transducers. J. Appl. Physiol. 26: 642-649, 1969.

2.   Assendelft, O. van, and J. England. Advances in Hematological Methods. Boca Raton, FL: CRC, 1990.

3.   Belko, A., and E. Obarzanek. Effects of aerobic exercise and weight loss on riboflavin requirements of moderately obese marginally deficient young women. Am. J. Clin. Nutr. 40: 553-561, 1984[Abstract/Free Full Text].

4.   Blum, S., and A. Sherman. The effects of fitness-type exercise on iron status in adult women. Am. J. Clin. Nutr. 43: 456-463, 1986[Abstract/Free Full Text].

5.   Celsing, F., E. Blomstrand, B. Werner, P. Pihlstdet, and B. Ekblom. Effects of iron deficiency on endurance and muscle enzyme activity in man. Med. Sci. Sports Exerc. 18: 156-161, 1988.

6.   Celsing, F., and B. Ekblom. Anemia causes a relative decrease in blood lactate concentration during exercise. Eur. J. Appl. Physiol. 55: 74-78, 1986.

7.   Davies, K., M. Donovan, C. Refino, G. Brooks, L. Packer, and P. Dallman. Distinguishing effects of anemia and muscle iron deficiency on exercise bioenergetics in the rat. Am. J. Physiol. Endocrinol. Metab. 246: E535-E543, 1984[Abstract/Free Full Text].

8.   Finch, C., L. Miller, A. Inamandar, R. Person, L. Packer, and P. Dallman. Iron deficiency in the rat. J. Clin. Invest. 58: 447-453, 1976.

9.   Flowers, C., M. Cuizon, J. Beard, B. Skikne, A. Covell, and J. Cook. A serum ferritin assay for prevalence studies of iron deficiency. Am. J. Hematol. 23: 141-151, 1986[ISI][Medline].

10.   Flowers, C., B. Skikne, A. Covell, and J. Cook. The clinical measurement of serum transferrin receptor. J. Lab. Clin. Med. 114: 368-377, 1989[ISI][Medline].

11.   Gardner, G., V. Edgerton, B. Senewiratne, R. J. Barnard, and Y. Ohira. Physical work capacity and metabolic stress in subjects with iron-deficient anemia. Am. J. Clin. Nutr. 30: 910-917, 1977[Free Full Text].

12.   Holloszy, J., and E. Coyle. Adaptations of skeletal muscle to endurance exercise and their metabolic consequences. J. Appl. Physiol. 65: 256-263, 1984[Abstract/Free Full Text].

13.  Hoppeler, H., and O. Hudlicka. Changes in the composition of muscle fibers and their ultrastructure in stimulated rat fast muscles with limited blood supply. Abstr. Birmingham Mtg. Physiol. Soc., December 1985, p. 373.

14.   Jensen, C., and C. Weaver. Iron supplementation and iron status in exercising young women J. Nutr. Biochem. 2: 368-373, 1991.

15.   Klingshirn, L., R. Pate, S. Bourque, J. Davis, and R. Sargent. Effects of iron supplementation on endurance capacity in iron-depleted female runners. Med. Sci. Sports Exerc. 24: 819-824, 1992[ISI][Medline].

16.   LaManca, J., and E. Haymes. Effects of iron repletion on VO2 max, endurance, and blood lactate in iron-depleted female runners. Med. Sci. Sports Exerc. 24: 819-824, 1993.

17.   Lohman, T., A. Roche, and R. Martorell. Anthropometric Standardization Reference Manual (abridged ed.). Champaign, IL: Human Kinetics, 1988.

18.   Looker, A., P. Dallman, M. Carroll, E. Gunter, and C. Johnson. Prevalence of iron deficiency in the United States. JAMA 277: 973-976, 1997[Abstract].

19.   Lyle, R., C. Weaver, D. Sedlock, S. Rajaram, B. Martin, and C. Melby. Iron status in exercising women: the effect of oral iron therapy vs. increased consumption of muscle foods. Am. J. Clin. Nutr. 56: 1049-1055, 1992[Abstract/Free Full Text].

20.   Magazanik, A., Y. Weinstein, J. Abarbanel, U. Lewinski, Y. Shapiro, O. Inbar, and S. Epstein. Effect of an iron supplement on body iron status and aerobic capacity of young training women. Eur. J. Appl. Physiol. 62: 317-323, 1991.

21.   McArdle, W., F. Katch, and V. Katch. Exercise Physiology. Philadelphia, PA: Lea & Febiger, 1991.

22.   McArdle, W., and J. Magel. Physical work capacity and maximal oxygen uptake in treadmill and bicycle exercise. Med. Sci. Sports Exerc. 2: 118-123, 1970.

23.   Newhouse, I., D. Clement, J. Taunton, and D. McKenzie. The effect of prelatent/latent iron deficiency on physical work capacity. Med. Sci. Sports Exerc. 21: 263-268, 1989[ISI][Medline].

24.   Persijn, J., W. V. D. Slik, and A. Riethorst. Determination of serum iron and latent iron-binding capacity (LIBC). Clin. Chim. Acta 35: 91-93, 1971[ISI][Medline].

25.   Rowland, T. W., M. B. Deisroth, G. M. Green, and J. F. Kelleher. The effect of iron therapy on the exercise capacity of non-anemic iron-deficient adolescent runners. Am. J. Dis. Child. 142: 165-168, 1988[Abstract].

26.   Saltin, B., and S. Strange. Maximal oxygen uptake: "old" and "new" arguments for cadiovascular limitation. Med. Sci. Sports Exerc. 24: 30-36, 1991.

27.   SAS Institute. SAS/STAT Software: The GLM, REG, T-Test Procedures, version 6. Cary, NC: SAS Institute, 1991.

28.   Tobin, B. W., J. L. Beard, and W. L. Kenney. Exercise training alters feed efficiency and body composition in iron deficient rats. Med. Sci. Sports Exerc. 25: 52-59, 1993[ISI][Medline].

29.   Tufts, D., J. D. Haas, J. L. Beard, and H. Spielvogel. Distribution of hemoglobin and functional consequences of anemia in adult males at high altitude. Am. J. Clin. Nutr. 42: 1-11, 1985[Abstract/Free Full Text].

30.   Willis, W., G. Brooks, S. Henderson, and P. Dallman. Effects of iron deficiency and training on mitochondrial enzymes in skeletal muscle. J. Appl. Physiol. 62: 2442-2446, 1987[Abstract/Free Full Text].

31.   Willis, W. T., P. R. Dallman, and G. A. Brooks. Physiological and biochemical correlates of increased work in iron-deficient rats. J. Appl. Physiol. 65: 256-263, 1988.

32.   Zhu, Y. I., and J. D. Haas. Iron depletion without anemia and physical performance in young women. Am. J. Clin. Nutr. 66: 334-341, 1997[Abstract/Free Full Text].

33.   Zhu, Y. I., and J. D. Haas. Response of serum transferrin receptor to iron supplementation in iron-depleted, nonanemic women. Am. J. Clin. Nutr. 67: 271-275, 1998[Abstract].

34.   Zhu, Y. I., and J. D. Haas. Altered metabolic response of iron-depleted non-anemic women during a 15-km time trial. J. Appl. Physiol. 84: 1768-1775, 1998[Abstract/Free Full Text].


J APPL PHYSIOL 88(3):1103-1111
8570-7587/00 $5.00 Copyright © 2000 the American Physiological Society



This article has been cited by other articles:


Home page
J. Am. Coll. Nutr.Home page
J. P. McClung, L. J. Marchitelli, K. E. Friedl, and A. J. Young
Prevalence of Iron Deficiency and Iron Deficiency Anemia among Three Populations of Female Military Personnel in the US Army.
J. Am. Coll. Nutr., February 1, 2006; 25(1): 64 - 69.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
R. D. Semba, B. K. Martin, J. H. Kempen, J. E. Thorne, A. W. Wu, and for the Studies of the Ocular Complications of AID
The Impact of Anemia on Energy and Physical Functioning in Individuals With AIDS
Arch Intern Med, October 24, 2005; 165(19): 2229 - 2236.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
S. R Akabas and K. R Dolins
Micronutrient requirements of physically active women: what can we learn from iron?
Am. J. Clinical Nutrition, May 1, 2005; 81(5): 1246S - 1251S.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
T. Brownlie IV, V. Utermohlen, P. S Hinton, and J. D Haas
Tissue iron deficiency without anemia impairs adaptation in endurance capacity after aerobic training in previously untrained women
Am. J. Clinical Nutrition, March 1, 2004; 79(3): 437 - 443.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
J. R Hunt
Bioavailability of iron, zinc, and other trace minerals from vegetarian diets
Am. J. Clinical Nutrition, September 1, 2003; 78(3): 633S - 639.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
T. D Brutsaert, S. Hernandez-Cordero, J. Rivera, T. Viola, G. Hughes, and J. D Haas
Iron supplementation improves progressive fatigue resistance during dynamic knee extensor exercise in iron-depleted, nonanemic women
Am. J. Clinical Nutrition, February 1, 2003; 77(2): 441 - 448.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
L. M. Bodnar, A. M. Siega-Riz, W. C. Miller, M. E. Cogswell, and T. McDonald
Who Should Be Screened for Postpartum Anemia? An Evaluation of Current Recommendations
Am. J. Epidemiol., November 15, 2002; 156(10): 903 - 912.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
L. M. Bodnar, M. E. Cogswell, and K. S. Scanlon
Low Income Postpartum Women Are at Risk of Iron Deficiency
J. Nutr., August 1, 2002; 132(8): 2298 - 2302.
[Abstract] [Full Text] [PDF]


Home page
J. Nutr.Home page
J. D. Haas and T. Brownlie IV
Iron Deficiency and Reduced Work Capacity: A Critical Review of the Research to Determine a Causal Relationship
J. Nutr., February 1, 2001; 131(2): 676S - 690.
[Abstract] [Full Text]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (46)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hinton, P. S.
Right arrow Articles by Haas, J. D.