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J Appl Physiol 84: 1768-1775, 1998;
8750-7587/98 $5.00
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Vol. 84, Issue 5, 1768-1775, May 1998

Altered metabolic response of iron-depleted nonanemic women during a 15-km time trial

Y. Isabel Zhu and Jere D. Haas

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

    ABSTRACT
Top
Abstract
Introduction
Methods
Results
Discussion
References

In this double-blinded study, 37 women with iron depletion without anemia (age 19-36 yr) were randomly assigned to receive either an iron supplement (135 mg/day) or a placebo. Endurance capacity was assessed during a 15-km simulated time trial (TT) on a cycle ergometer before and after the 8-wk treatment. After the treatment, although the iron-supplemented group did not have shorter time to finish the TT (time), it had 2.0 kJ/min lower energy expenditure and 5.1% lower fractional utilization of peak oxygen consumption during the TT compared with the placebo group, after controlling for work rate (P < 0.05). Time, fractional utilization of peak oxygen consumption, and plasma lactate concentration at the 5th km of the TT were all negatively associated with hemoglobin levels, after controlling for work rate (P < 0.05). In conclusion, repletion of iron stores to women with iron depletion without anemia increased their energetic efficiency, and oxygen transport capacity of the blood was found to be an important determinant of endurance capacity and energy metabolism in nonanemic women.

hemoglobin; endurance; lactate; glucose; energy efficiency

    INTRODUCTION
Top
Abstract
Introduction
Methods
Results
Discussion
References

IN THE United States, the prevalence of iron-deficiency anemia in 18- to 44-yr-old women is only ~2.3%, but the prevalence of marginal iron deficiency, referring to both iron deficiency without anemia and depletion of iron store, is ~16% (6). In iron depletion without anemia, hemoglobin (Hb) concentration is above the cutoff for anemia, which is 120 g/l for women age 18-44, but serum ferritin (sFer) is below a cut-off concentration (16 µg/l) for iron depletion (11). Those young women who are physically active seem to have a higher risk of iron deficiency (20, 28).

Although the effect of iron deficiency without anemia on maximum oxygen consumption (VO2 peak) has been extensively investigated (15, 23, 27, 35), little is known about the effects of marginal iron deficiency on other aspects of physical performance, such as endurance capacity. Different factors determine VO2 peak and endurance capacity. Under normal conditions, VO2 peak is determined mainly by oxygen supply (3, 32), whereas endurance capacity may be affected by both oxygen supply and oxygen utilization capabilities of the muscles (7). Only aerobic phosphorylation allows for prolonged exercise because anaerobic energy production (glycolysis) may lead to lactate accumulation and consequently to fatigue (13).

Although nonanemic individuals who are iron deficient have Hb concentrations above the cutoff for anemia, their oxygen-transport capacity may not have reached an optimal level and may still be a limiting factor of endurance capacity. In addition, oxygen-utilization capacity may also be impaired, causing further reduction of endurance capacity. Animal studies indicated that endurance capacity could be affected by iron deficiency per se, probably due to decreased iron-containing oxidative enzymes and respiratory proteins, which determine oxygen-utilization capability (7, 8, 12, 14, 24, 34).

Endurance capacity has not been found to be impaired because of iron deficiency without anemia in previous investigations (4, 15, 16, 23). This may be due to the limitations of the time-to-exhaustion protocol used to measure endurance capacity in these studies.

Endurance has been defined as the maximum length of time an individual can sustain a given workload measured by fractional utilization of VO2 peak (%VO2 peak) (25). %VO2 peak is a better measurement of workload than is the absolute work rate in individuals with different values of VO2 peak, because different body sizes are compared. Therefore, endurance should be assessed by measuring the time to exhaustion at individualized workloads that are at the same percentage of VO2 peak for all subjects. However, it is often impossible to keep subjects at the same %VO2 peak during a prolonged exercise test. In addition, VO2 peak might change during a prospective study so that %VO2 peak at the same work intensity may change before and after iron treatment. In previously published studies, there was an ~5% variation in %VO2 peak during the time-to-exhaustion test before and after iron treatment, but none of these studies controlled for %VO2 peak when analyzing the treatment effect on endurance time (4, 15, 16, 23). One way to solve these problems is to control for %VO2 peak statistically, as a covariate in multivariate regression analyses, with time to exhaustion as the dependent variable. Although the time to exhaustion was not found by LaManca and Haymes (16) to be changed by iron supplementation in iron-deficient mildly anemic subjects, they found that the %VO2 peak during the time-to-exhaustion test was significantly decreased by the iron treatment. This finding suggests that the variation in %VO2 peak might have negatively confounded the treatment effect on time to exhaustion.

Another problem with the time-to-exhaustion protocol is that measured time may be affected by both physiological and psychological factors that cannot be measured objectively. Although the effect of iron status on psychological response to strenuous exercise is unknown at the current time, the measured time to exhaustion may be confounded by motivational levels of the subjects.

In practice, endurance capacities of individuals are compared by their times to finish a given distance in a running or cycling test that requires maintenance of aerobic oxidative metabolism. A person who can finish the same distance in a shorter period of time is considered to have better endurance. Testing endurance by using a time-trial protocol has the advantage of providing an incentive to the subjects to finish the time trial as fast as possible, thus reducing the effect of the motivational factor.

The results from previous studies indicate that more research is needed to investigate the effects of iron depletion without anemia on endurance capacity. The purposes of this study were 1) to test the effect of iron depletion without anemia on endurance capacity as measured by performance in a 15-km simulated time trial; 2) to test the effects of iron depletion without anemia on metabolic responses during the time trial, including ventilation, gas exchange, and plasma lactate and glucose concentrations; and 3) to investigate the direct effects of iron-status indicators on endurance capacity and energy metabolism.

    METHODS
Top
Abstract
Introduction
Methods
Results
Discussion
References

Subjects. One hundred seventy-two healthy, physically active, 19- to 36-yr-old women were recruited from the local community. After preliminary screening, 43 women were identified as iron depleted without anemia, with Hb concentrations >120 g/l and sFer levels <16 µg/l. After a physical examination by a physician, subjects were excluded for the following reasons: current pregnancy or pregnancy within the previous year, infectious illness in the past month or fever in the past week, hemolytic anemia, asthma, musculoskeletal problems, smoking, excess alcohol consumption, recent history of eating disorders, recent use of recreational drugs, and use of certain prescription medications that may interfere with dietary iron absorption.

Thirty-nine women qualified and were willing to participate in the study. Signed informed consent was obtained from each subject. This study was approved by the University Committee on Human Subjects at Cornell University.

Study design. This study had a randomized and double-blinded design. Subjects were randomly assigned to two groups, receiving either an iron supplement or a placebo. Both the subjects and the investigators were blinded to the group assignment until the completion of data collection. Subjects took either iron supplement (45 mg elemental iron per capsule in the form of ferrous sulfate) or identical placebo capsules three times a day for 8 wk. These capsules were prepared by a local pharmacist. The mean (±SD) iron content of capsules was determined from a random sample of 20 capsules from each of two batches (45.1 ± 2.8 mg). The subjects were instructed to consume the capsules with a citrus juice and with meals to increase absorption and to reduce side effects. Compliance with the iron treatment was assessed by counting the capsules left over biweekly. For all the subjects, body composition and physical performance were measured immediately before and after the 8-wk treatment period. Thirty-seven women finished the entire research regimen. Two subjects, one from each group, dropped out of the study because of personal reasons or sickness unrelated to the study.

Prestudy habitual physical activity (PA) levels were assessed by a frequency questionnaire, which was analyzed by using the method described previously (35) to obtain a PA score for each subject. This was used to ensure that randomization resulted in equal PA between groups. To control for the potential effects of changes in PA level on physical performance, the subjects were asked to maintain the same exercise activity level during the entire study period. PA was monitored by daily PA records, which were also analyzed quantitatively by using the same method described previously (35).

As part of the screening process, baseline dietary iron intake was assessed by a dietary record over 4 consecutive days including 1 weekend day. The dietary records were analyzed by using Nutritionist IV (Hearst, San Bruno, CA) to obtain daily dietary iron intake values.

Subjects were instructed to avoid consumption of any other multivitamin and mineral supplements during the entire study period. Self-recordings of iron or placebo capsule compliance, consumption of medication, illness, menstrual status, gastrointestinal symptoms, PA, and musculoskeletal problems were collected daily.

Physiological measurements. Exercise tests were conducted on a mechanically braked and calibrated bicycle ergometer (model 818E, Monark, Varberg, Sweden), by using 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 [revolutions per minute (rpm)] or distance pedaled. Concentrations of oxygen and carbon dioxide in expired air and volume of respiration were analyzed with Ametek gas analyzers (Pittsburgh, PA) and a Fitco Micro Flow respiratory pneumotachograph (Fitness Instrument Technologies, Farmingdale, NY) through a Hans Rudolph breathing valve (Kansas City, MO). Data output from the instruments was directed to a IBM 386 computer for the breath by breath calculation of oxygen consumption (VO2), CO2 production (VCO2), and respiratory exchange ratio (RER) (VCO2/VO2), and minute ventilation.

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 asked to start recording food intake 3 days before the pretreatment exercise testing and until the last day of pretreatment testing, and they were instructed to repeat the same dietary intake for the posttreatment exercise tests. In addition, the exercise tests were repeated after the iron treatment at the same time of day as before treatment to further control for the acute effects of dietary intake and time difference. Because there was an 8-wk interval between pre- and posttreatment exercise tests, the variation in menstrual stages was minimized. Subjects were instructed not to consume food or caffeinated or carbonated beverages within 3 h before the tests. Water was offered to subjects before the start of the exercise test.

VO2 peak was measured following a modification of the protocol 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 the VO2 stopped increasing, as observed from the computer monitor. VO2 peak was determined as the VO2 at the final workload achieved, if that workload did not result in a >150-ml increase in VO2 from the previous workload. Heart rate was monitored throughout with an electrocardiograph (Burdick, Milton, WI). Test-retest reliability of this protocol was determined with a similar sample of women as used this study, and it yielded a correlation coefficient (r) of 0.91.

Endurance was tested by a 15-km simulated time trial administered 2 days after the VO2 peak test. Subjects were asked to finish the time trial as fast as possible, against a predetermined resistance. Standardized words of encouragement were used by the investigator throughout the test. The level of the resistance allowed the subject, if she pedaled at 60 rpm, to achieve 70% of VO2 peak, as determined individually from the result of her pretreatment VO2 peak test. The same resistance level was used at the posttreatment endurance test. During the test, VO2, VCO2, and heart rate were continuously monitored. Test-retest reliability of this protocol determined in our laboratory is r = 0.93 for average VO2 during the time trial and is r = 0.99 for average work rate during the time trial.

Blood samples were taken from finger punctures immediately before and after the time trial and twice during the time trial, when the subject reached the 5th and 10th km. Blood samples were drawn into 100-µl heparinized capillary tubes (Baxter Scientific Products, McGraw Park, IL), sealed, and stored on ice. The capillary tubes were centrifuged immediately after the test, and plasma samples were separated and stored at -20°C for the analysis of lactate and glucose concentrations.

Lactate and glucose concentrations of the plasma samples obtained from the endurance test were measured enzymatically (Sigma Diagnostics, St. Louis, MO). Samples from the same subject before and after the iron treatment were analyzed concurrently at the completion of the entire study to control for variation in assay conditions.

Body size and composition were measured in the Body Composition Laboratory of the Human Metabolic unit at Cornell University. Anthropometry (weight, height) was assessed by using standard procedures described in Lohman et al. (18). Body fat and fat-free mass (FFM) were assessed by densitometry following the technique described by Consolazio et al. (5). The Siri equation adapted for females was used, assuming the density of FFM to be 1.096 g/ml (17).

Iron-status measurements. Iron status was assessed at screening and for those subjects enrolled into the study, before, in the middle of, and after iron treatment. To control for potential variation in assay conditions from batch to batch, samples from the same subject collected at the three different time points during the study were analyzed concurrently at the completion of the entire study.

Hb was determined by the cyanomethemoglobin method described by Van Assendelft and England (31a) (Sigma Diagnostics). Hematocrit was determined by the microhematocrit method. sFer was assessed by the ELISA method according to the method of Flowers et al. (9) (Ramco Laboratories, Houston, TX). Transferrin saturation (TS) was determined from the ratio of serum iron (sFe) to total iron-binding capacity (TIBC) by the method described by Persijn et al. (26) (Sigma Diagnostics). Serum transferrin receptor (sTfR) was determined by the enzyme-linked immunosorbent assay method described by Flowers et al. (10) (Ramco Laboratories, Houston, TX).

To control for day-to-day variation and the effect of regression to the mean, the averages of two independent measurements of Hb and sFer levels, at screening and before the iron treatment, which were 3-7 days apart, were used as the pretreatment concentrations.

Statistical analysis. All statistical analysis was done by using SYSTAT, Version 5.2 (Evanston, IL). Independent Student's t-test was used to analyze group difference at baseline. Analysis of variance with repeated measurements (MANOVA) with treatment group as a covariate was used to detect changes of iron status and physical activity during the study. Changes of these variables within each group were analyzed by paired t-test. Regression analysis with baseline measurements as covariates was used to analyze group difference in posttreatment iron status or physical performance. The effects of iron status on outcome variables were analyzed by multiple linear regression analysis, controlling for baseline levels and other potential confounding or mediating factors. P < 0.05 was used to indicate statistical significance. Because sFer, sFe, and TS had skewed distributions, normalized values through log transformation of these variables were used in all statistical analyses.

    RESULTS
Top
Abstract
Introduction
Methods
Results
Discussion
References

Mean age was 24.8 ± 4.2 (SD) yr for the placebo group and was 23.8 ± 4.8 yr for the iron-supplemented group. Mean height was 1.68 ± 0.07 (SD) m for both groups. Dietary iron intake before the study was 16.6 ± 7.8 mg/day for the placebo group and was 18.2 ± 13.0 mg/day for the iron-supplemented group. There was no significant group difference in age, height, and dietary iron intake before the study. Results of the body weight and body composition measurements at baseline and posttreatment are presented in Table 1. There was also no significant group difference before and after treatment in body size and body composition. Within each group, body weight and body composition did not change during the study.

                              
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Table 1.   Body weight and body composition of the subjects before and after the 8-wk iron or placebo treatment

Compliance with and response to iron treatment. On average, the placebo group consumed 144 ± 23 capsules (87.3 ± 9.5% of total prescription) and the iron-supplemented group consumed 145 ± 29 capsules (87.5 ± 16.5%). There was no group difference in the number of capsules consumed.

Results of the serial measurements of iron status variables are presented in Table 2. There was no significant group difference at baseline for any of the iron-status variables measured. After 8 wk of treatment, neither group experienced significant change in hematocrit, sFe, TIBC, and TS.

                              
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Table 2.   Iron status of the placebo and iron-supplemented groups during the study

During the study, the mean Hb concentration of the placebo group decreased from 137 to 132 g/l (P <0.05), with one subject falling below 120 g/l. The iron-supplemented group did not change their mean Hb concentration throughout the treatment period. The group difference in final Hb concentration approached statistical significance (P = 0.13), after controlling for baseline concentration.

The iron-supplemented group had significantly higher mean log sFer concentration at the fourth and eighth week compared with baseline (P < 0.005). The placebo group did not significantly change sFer concentration from baseline to posttreatment. After 8 wk of treatment, the group difference became significant (P < 0.005). Two subjects in the iron-supplemented group did not show improvement in sFer during treatment because of poor compliance, confirmed by low pill count.

The placebo group did not change the mean sTf R concentration during the study, whereas the iron-supplemented group showed a progressive decrease in sTf R. The group difference was significant at posttreatment after controlling for baseline levels (P < 0.05).

Habitual PA levels during the study. At baseline, there was a marginal group difference in habitual PA level (P = 0.09, data not shown). There was no significant group difference in PA level for any of the 2-wk periods during the study. MANOVA did not reveal changes in PA throughout the study period for either group.

Physical performance. Results of the physical performance measurements before and after iron treatment are presented in Table 3. At baseline, there was no group difference in any of these measurements. Both groups increased VO2 peak during the treatment period, but there was no group difference in final VO2 peak after controlling for baseline level. After the 8-wk treatment, both groups significantly increased average VO2 and average oxygen pulse (VO2/heart rate) and significantly decreased average RER during the time trial (Table 3). Significant group difference existed in the posttreatment %VO2 peak and energy expenditure (kJ/min) during the time trial, after controlling for baseline level.

                              
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Table 3.   Physical performance of the subjects measured before and after iron treatment

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 3) after McArdle et al. (21). A multiple linear regression analysis was conducted to examine the effect of treatment group on posttreatment energy expenditure, with average work rate and pretreatment energy expenditure rate during the time trial as covariates. This analysis revealed a significant group difference in the rate of energy expenditure during the posttreatment time trial (P < 0.05). The regression coefficient was -2.0 kJ/min (P < 0.05) for the treatment group, indicating that the supplemented group consumed 2.0 kJ/min less energy than did the placebo group at the same work rate. On the basis of the mean time to finish in the time trial of 30 min, iron supplementation decreased the total energy expenditure by ~60 kJ during the posttreatment time trial in these iron-depleted nonanemic women.

There was no significant group difference in the time to finish in the 15-km time trial, after controlling for the baseline time to finish, and posttreatment %VO2 peak during the time trial, which were significantly correlated with the time to finish. Final Hb concentration was significantly and negatively associated with posttreatment time to finish, after controlling for baseline time and posttreatment %VO2 peak during the time trial (P = 0.042, partial r = 0.366). A 10 g/l increase in final Hb resulted in 0.89-min decrease in time to finish the time trial. Figure 1 illustrates this negative relationship between posttreatment time to finish the time trial and final Hb concentration.


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Fig. 1.   Relationship between posttreatment time to finish the time trial (TT) and final hemoglobin (Hb) concentration, after controlling for baseline time to finish and fractional utilization of maximal oxygen consumption (%VO2 peak) during the TT (P = 0.042, partial r = 0.366). Line is regression line between dependent and independent variable. open circle , Placebo group; black-square, iron-supplemented group.

MANOVA indicated that there was no group difference in the average work rate, VO2, and RER throughout the time trial before and after iron treatment. Multiple linear regression analysis, controlling for baseline levels and work rate, did not reveal a significant treatment effect on average VO2, heart rate, and RER during the time trial.

To further analyze the observed group difference in posttreatment %VO2 peak during the time trial, multiple regression analysis was conducted with posttreatment %VO2 peak as a dependent variable, controlling forpotential confounders (Table 4). Because %VO2 peak during the time trial was expected to be associated with work rate and fitness level of the subject, absolute work rate during the time trial and habitual PA level of the subjects during the treatment were tested as potential confounders. Only work rate was found to be correlated with %VO2 peak during the time trial, and it was included as a covariate in all models. To avoid collinearity, baseline work rate during the time trial was not included in the models. The group difference in final %VO2 peak was still significant after controlling for baseline %VO2 peak and work rate during the time trial (P = 0.016, model 1). The iron-treated group was consuming oxygen relative to VO2 peak at a 5.1% lower rate than was the placebo group, after controlling for baseline %VO2 peak and work rate.

                              
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Table 4.   Regression analysis of the effects of iron treatment on posttreatment %VO2 peak during the time trial

Model 2 (Table 4) shows that the group difference was reduced from 5.1 to 3.9% (P = 0.047) after controlling for change in Hb concentrations, indicating that the treatment effect was in part mediated by change in Hb concentration. Model 3 (Table 4) shows that change in Hb concentration was significantly associated with final %VO2 peak during time trial, after controlling for baseline %VO2 peak and average work rate during the time trial (P = 0.004, partial r = 0.493). Figure 2 illustrates this significant relationship between posttreatment %VO2 peak during the time trial and change in Hb concentration. The interaction between change in Hb and iron treatment on %VO2 peak was not found to be significant.


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Fig. 2.   Relationship between posttreatment %VO2 peak during TT and change in Hb concentration, after controlling for baseline %VO2 peak and average work rate during TT (P = 0.004, partial r = 0.493). Line is regression line between dependent and independent variable. open circle , Placebo group; black-square iron-supplemented group.

Because the use of the ratio to calculate %VO2 peak (VO2/VO2 peak) assumes a linear relationship between the numerator and the denominator with an intercept of zero (31), multiple regression analysis was also conducted by using average VO2 during the time trial as the dependent variable, controlling for VO2 peak and work rate. The results were essentially the same as using %VO2 peak as a dependent variable (results not shown).

Table 5 presents the mean plasma glucose and lactate concentrations measured during the time trial. There was some variation in the glucose concentration during the time trial within each group, but there was no significant group difference before and after treatment. At pretreatment, there was no significant group difference for all the lactate concentrations measured. As expected, the preexercise lactate concentrations were significantly lower than those during the time trial (P < 0.05).

                              
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Table 5.   Mean plasma lactate and glucose concentrations of the subjects during the time trial before and after the iron treatment

After 8 wk of iron treatment, the placebo group did not change mean lactate concentration during the 15-km time trial, while the iron-supplemented group showed a slower rise in lactate concentration at 5 km and a significant increase from the 5th to the 10th km (P < 0.01). For both groups, lactate concentration reached a plateau during the later stages of the time trial. While there was no significant group difference in lactate concentration measured at 10th and 15th km, lactate concentration measured at the 5th km was higher, but not significantly, for the placebo group than for the iron-supplemented group (P = 0.063).

This group difference in lactate concentration at the 5th km was further analyzed by multiple regression analysis with pretreatment lactate concentration and work rate during the first 5 km as covariates. Because the lactate concentration during exercise may be affected by the lactate concentration immediately before exercise, preexercise lactate concentration needs to be controlled when comparing the lactate concentration during exercise. Therefore, the residual of the regression between lactate concentration before exercise and lactate concentration at the 5th km was used in the regression models as the dependent variable. Iron treatment was not found to affect lactate concentration at the 5th km of the time trial, after controlling for preexercise and pretreatment lactate concentration and work rate. However, we found that posttreatment Hb concentration had a significant and negative correlation with posttreatment lactate concentration with or without treatment group as a covariate (P < 0.03). A 10 g/l increase in Hb concentration resulted in 0.89 mmol/l decrease in posttreatment lactate concentration at the end of the first 5 km of the time trial, after controlling for preexercise lactate concentration, pretreatment lactate concentration, and work rate (P < 0.02). However, no such relationship was found for lactate concentration measured at the 10th km and at the end of the time trial. Figure 3 illustrates this linear relationship between posttreatment lactate concentration at the 5th km of the time trial and posttreatment Hb concentration (P = 0.016, partial r = 0.444).


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Fig. 3.   Relationship between posttreatment lactate concentration (Lac) at 5th km of TT and final Hb concentration, after controlling for work rate and pretreatment Lac (P = 0.016, partial r = 0.444). Line is regression line between dependent and independent variable. open circle , Placebo group; black-square iron-supplemented group.

    DISCUSSION
Top
Abstract
Introduction
Methods
Results
Discussion
References

After 8 wk of iron treatment, iron-depleted subjects were able to replenish their body iron stores as indicated by increased mean sFer concentration, and to decrease tissue iron deficiency as indicated by decreased mean sTf R concentration. This improvement in iron status occurred without an increase in mean Hb concentration, indicating that these subjects as a group were not anemic at the beginning of the study. On the other hand, the iron supplementation prevented a further deterioration of iron status, as evidenced by the decrease in mean Hb concentration in the placebo group.

Endurance capacity and cardiorespiratory responses during the time trial. Although the time to finish the time trial was not affected by iron treatment, iron supplementation resulted in a 2.0 kJ/min lower energy expenditure and a 5.1% lower %VO2 peak compared with the placebo group, after controlling for work rate during the 15-km time trial. This means that after 8 wk of supplementation, the iron-supplemented group was able to exercise at the same intensity as did the placebo group with a lower level of physical exertion and became more energetically efficient. They consumed ~60 kJ less total energy than did the placebo group, to complete the 15 km in the same time and with the same work rate. These findings are consistent with the smaller 3% decrease in %VO2 peak during a time-to-exhaustion test observed by LaManca and Haymes (16) in mildly anemic subjects who received a similar 8-wk iron-treatment regimen.

The time-trial test protocol was designed to give the subjects an incentive to finish the 15 km at their highest potentially sustainable work rate, thereby minimizing the influence of the subject's motivational status toward the test. However, there was still a subjective component with the time-trial protocol, and the level of exertion achieved during the test might be influenced by psychological factors. Nevertheless, the difference in %VO2 peak should not have been due to difference in motivation between iron-supplemented and placebo groups, unless iron treatment affects motivation. To our knowledge, no evidence exists to indicate such an effect.

The negative associations between Hb concentration and posttreatment time to finish the time trial or %VO2 peak observed in the present study suggest that oxygen transport capacity of the blood may be one of the mechanisms that determine endurance capacity and energetic efficiency in these nonanemic women. In the study by LaManca and Haymes (16), the group difference in %VO2 peak was accompanied by an increase in Hb concentration of the iron-supplemented group, suggesting that the treatment effect on %VO2 peak was probably associated with change in Hb concentration. Unfortunately, those authors did not report the association between %VO2 peak and Hb concentration.

Reduced oxygen transport capacity has been demonstrated to be the major cause of reduced endurance capacity in anemia. Celsing et al. (4) have shown that time to exhaustion was decreased in an anemic state induced by repeated venesections, and the time to exhaustion could be increased dramatically in a few days after blood transfusion. The negative relationship between Hb and time to finish the time trial observed in the present study further indicates that even in iron deficiency without anemia, oxygen transport capacity is still an important determinant of endurance capacity.

Plasma lactate and glucose concentrations during the time trial. In the present study, we observed a significant and negative association between posttreatment Hb concentration and lactate concentration at the end of the first 5 km of the time trial, after controlling for work rate and pretreatment level of lactate, indicating that plasma lactate concentration is inversely related to oxygen transport capacity of the blood. Plasma lactate concentration is the function of lactate production and removal rates. In humans, lactate is primarily produced by glycolysis and is removed during exercise by aerobic oxidation in exercising and nonexercising muscles (2, 30). An increase in oxygen-transport capacity may increase aerobic oxidative capacity, causing either a decrease in lactate production or an increase in lactate oxidation, or both. This mechanism may explain the decreased lactate concentration after iron supplementation in iron-deficient mildly anemic subjects (16, 19, 29), because the reduction in lactate concentration in these previous studies was accompanied by an increase in Hb concentration. However, the association between the decreased lactate concentration and the increase in Hb concentration was not reported by any of these authors. The inverse relationship between plasma lactate and Hb concentrations observed in the present study strongly supports a role of oxygen transport capacity on lactate metabolism, even in marginal iron deficiency.

The lack of treatment effect on lactate concentration measured at the later stages of the time trial may be due to a ceiling effect. Toward the end of the time trial, lactate concentration was reaching a plateau, indicating that lactate metabolism had progressed toward a steady state. Therefore, the margin remaining for improvement by iron treatment was probably inadequate to allow the influence of iron status to be observed beyond the 5th km.

We did not observe a treatment effect on glucose concentration. This result should be expected, because euglycemia is well maintained in normal healthy people until glycogen stores are depleted (33). Therefore, glucose concentration is unlikely to be affected by iron status and the exercise test in these subjects, who were not starved and should have adequate glycogen stores at the time of the testing. Whether the maintenance of euglycemia may be affected by iron deficiency after glycogen depletion needs further investigation.

In summary, Hb concentration is found to be associated with three major physical performance variables in this study: time to finish the time trial, %VO2 peak during the time trial, and plasma lactate concentration at 5th km of the time trial. This association was not observed before treatment, probably due to the small variation in Hb concentration at baseline. After the 8-wk study, the placebo group decreased their mean Hb concentration, causing a broader range of final Hb concentration, which possibly enabled us to observe the effect of Hb on physical performance. At the end of the study, the placebo group was probably borderline anemic and became energetically less efficient than the iron-supplemented group, even though the mean final Hb concentration of the placebo group was still much higher than the clinical cutoff for anemia. In other words, individuals with Hb as high as 132 g/l may still be functionally anemic, having a Hb concentration that is not sufficient for optimal physical performance in stressful situations such as a 15-km time trial.

The negative association between Hb concentration and physical performance in nonanemic subjects observed in the present study also indicates that the Hb effect is continuous rather than threshold bound. The conventional use of a cutoff to identify anemia assumes a threshold effect of Hb on functional outcomes and thereby results in misclassification. In addition, these data indicate that a cutoff value of Hb concentration for functional anemia may be much higher than 120 g/l for premenopausal women when their oxygen delivery system is stressed.

In conclusion, within the limitations of the present study, iron depletion without anemia was not found to affect endurance capacity as measured by the time to finish in a 15-km time trial on a cycle ergometer. However, after iron supplementation, the rate of energy expenditure and the %VO2 peak during the time trial were lower in the iron-supplemented group compared with the placebo group, after controlling for absolute work rate. This indicates that iron depletion without anemia could increase the level of exertion and energy cost to achieve the same work rate. In addition, Hb concentration was found to be negatively associated with time to finish in the time trial, %VO2 peak during the time trial and lactate concentration at the early stage of the time trial. Therefore, oxygen transport capacity was found to play an important role in determining endurance capacity, energetic efficiency, fractional utilization of VO2 peak, and lactate metabolism, even in marginally iron-deficient women who are not considered to be anemic by classic criteria.

    ACKNOWLEDGEMENTS

The authors acknowledge the help of Linda H. Bennett and Dr. Wesley K. Canfield.

    FOOTNOTES

This study was supported by US Department of Agriculture Grant 9500850 and by a Graduate Research Grant from the Division of Nutritional Sciences, Cornell University.

Present address of Y. I. Zhu: College of Physicians and Surgeons of Columbia University, Box 324, 630 W. 168th Street, New York, NY 10032 (E-mail yiz1{at}columbia.edu).

Address for correspondence: J. D. Haas, 211 Savage Hall, Cornell University, Ithaca, NY 14853 (E-mail jdh12{at}cornell.edu).

Received 23 June 1997; accepted in final form 21 January 1998.

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Top
Abstract
Introduction
Methods
Results
Discussion
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J APPL PHYSIOL 84(5):1768-1775
8570-7587/98 $5.00 Copyright © 1998 the American Physiological Society



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