1 Human Cardiovascular Research
Laboratory, Our aim was to determine if women who regularly
perform endurance exercise demonstrate age-related elevations in body
mass and adiposity. Ninety-five healthy females were studied:
premenopausal (n = 28; mean ± SE age 30 ± 1 yr) and postmenopausal
(n = 31; 56 ± 1 yr)
endurance-trained runners and premenopausal
(n = 17; 29 ± 1 yr) and
postmenopausal (n = 19; 61 ± 1 yr)
sedentary controls. In the runners, body mass did not differ across
age, but percent fat and fat mass were higher
(P < 0.05) in the postmenopausal women. The age-related difference in total body fat, however, was only
~50% as great (P < 0.01) as that
observed in the sedentary controls due in part to smaller age-related
differences in central (truncal) fat. The higher fat mass in the
postmenopausal runners was modestly (inversely) related to both
exercise volume (r =
body composition; obesity; females
BODY MASS, TOTAL BODY FAT, and central adiposity all
increase with age in sedentary adult women (7, 9, 14), and these increases appear to be greater than those observed in men (20). The
increases in body weight and whole body and central adiposity with age
are associated with an elevated risk of morbidity and premature
mortality from cardiovascular and metabolic diseases (1, 6, 12). As
such, the question of whether these adverse changes are inevitable
consequences of the aging process or are modulated by lifestyle
behaviors is of fundamental importance.
Regular exercise, especially involving activities associated with high
levels of energy expenditure (i.e., "endurance" exercise), is one
lifestyle factor that may affect age-related changes in body
composition (11). In this context, an important question is whether
women who regularly perform endurance exercise demonstrate increases in
body mass and fatness with advancing age. Based on the available
experimental data from our laboratory (5) and others (13, 23), however,
the answer is not clear.
If whole body adiposity increases with age even in highly physically
active women, there would seem to be at least two important related
issues. The first would be to identify the regional sites contributing
to the increase in total fat mass. The second would be to gain insight
into the factors that may play a role in the age-related increases in
adiposity. Regarding the latter, it has been proposed that declines in
the amount of exercise performed (i.e., exercise-related energy
expenditure) may contribute to age-associated elevations in body
fatness in highly active women (13). Currently, however, there is no
information concerning this issue.
Accordingly, the primary experimental objective of the present
investigation was to determine if healthy women who regularly perform
endurance exercise demonstrate age-related elevations in body mass and
whole body adiposity. If so, important secondary goals were to
determine 1) if the age-related
elevations are smaller than those observed in sedentary healthy women;
2) the relative contributions of
increases in central adiposity and fat in other regions; and
3) the role of age-associated
declines in exercise volume.
Subjects
ABSTRACT
Top
Abstract
Introduction
Methods
Results
Discussion
References
0.44,
P < 0.01) and maximal oxygen
consumption (r =
0.41,
P < 0.01). The present findings
provide experimental support for the hypothesis that women who
regularly engage in vigorous endurance exercise may not gain body
weight, undergo only a modest increase in total body fat, and do not
demonstrate a significant elevation in central adiposity with age.
INTRODUCTION
Top
Abstract
Introduction
Methods
Results
Discussion
References
METHODS
Top
Abstract
Introduction
Methods
Results
Discussion
References
Postmenopausal status of women was documented by plasma follicle-stimulating hormone levels exceeding 30 mU/ml and absence of menses. These subjects had been postmenopausal for at least 2 yr, and approximately one-half of each group was taking estrogen-based hormone supplements (10 sedentary, 13 runners). All subjects were healthy as assessed by medical history. Postmenopausal subjects were further evaluated for clinical evidence of cardiopulmonary disease with a physical examination and electrocardiograms during rest and maximal exercise. All subjects were Caucasian, well educated, of middle-class to upper-middle-class income status, and were nonsmokers.
The nature, purpose, and risks of the study were explained to each subject before written informed consent was obtained. The experimental protocol was approved by the Human Research Committee at the University of Colorado at Boulder.
Body Mass and Composition
Total body mass was measured to the nearest 0.1 kg on a physician's balance scale (Detecto, Webb City, MO). Body mass index (BMI) was calculated from weight and height (kg/m2). Total body density was determined by hydrodensitometry as outlined by Brozek et al. (3). Residual volume of the lungs was measured using the oxygen dilution technique as previously outlined by Wilmore (33). Body fat percentage (%fat) was then calculated using the equation of Brozek et al. (3). Fat mass and fat-free mass were estimated from percent fat and body mass based on the two-compartmental model.To gain as much insight as possible into age-related differences in regional adiposity, the following three different approaches were employed. 1) Skinfold thicknesses were measured at five sites (tricep, subscapular, suprailiac, abdomen, and thigh) by a single investigator to the nearest 1 mm using a Lange caliper (Cambridge Scientific); the average of three trials was used (16). A small number of postmenopausal women (exercising group, n = 5; sedentary, n = 5) were unable or unwilling to perform the underwater weighing procedure. Thus their percent body fat was predicted from their skinfold measures based on the regression between percent body fat determined by hydrostatic weighing and skinfolds for postmenopausal women studied in our laboratory (n = 40; r = 0.87, standard error of estimate 4.76%). 2) Minimal waist circumference was measured according to previously published guidelines (16). 3) After the above body composition measurements had been completed on the main study population, a dual-energy X-ray absorptiometry system (DEXA; model DPX-IQ; software version 3.2; Lunar Radiation, Madison, WI) became available. We were able to perform whole body DEXA scans (to obtain fat mass, lean tissue mass, and bone mineral density) on subgroups of women (total n = 40). DEXA was used primarily to measure regional (arm, trunk, and leg) fat using the extended analysis of the LUNAR software as described previously (18). We also used DEXA measurements of whole body composition to ensure that the interpretation of our hydrodensitometry-derived data was not confounded by age-related differences in bone mineral density.
The following three measures of central adiposity were used: 1) abdominal and suprailiac skinfold thicknesses (13); 2) waist circumference, which has been validated against computed tomographic (CT) and magnetic resonance imaging measures of abdominal adiposity (2, 10, 29); and 3) DEXA-derived truncal fat, which correlates strongly (r = 0.90) with CT-derived measurements of abdominal fat (26, 29).
Maximal Aerobic Capacity
Maximal oxygen consumption (Exercise Training Volume and Habitual Physical Activity
Weekly running mileage was used as a measure of exercise training volume in the regularly exercising women (8, 27). To determine possible age-related differences in habitual physical activity in the sedentary women, daily energy expenditure was estimated using the Stanford Physical Activity Questionnaire (24) as previously described by our laboratory (19).Estimated Energy Intake
Energy intake was estimated from 4-day food records as described in detail previously (30). The same registered dietitian instructed all subjects and analyzed all food records using the Nutritionist IV (version 3.5.2; Hearst, San Bruno, CA) computer software program. Food records were analyzed for 12 premenopausal and 13 postmenopausal sedentary women and for 9 premenopausal and 15 postmenopausal runners.Statistics
Group differences among the dependent variables were determined by two-way analysis of variance. A Newman-Keuls post hoc test for multiple comparisons was used to determine differences among specific comparisons. A significant interaction was interpreted to indicate that the age-related differences in body mass and composition were significantly different between the sedentary and exercising subject groups. Simple univariate regression analyses were performed to examine relations of interest. Simple unpaired t-tests were used to determine age-related differences in adiposity between the subgroups of exercising women matched for a particular factor of interest. In the postmenopausal women, there was no relation between hormone replacement status and any dependent variable; thus, users and nonusers were pooled within the sedentary and exercising groups. Statistical significance was set at P < 0.05. Data are presented as means ± SE. ![]() |
RESULTS |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
Age-Related Differences in the Regularly Exercising Women
In the main subject groups (Table 1),
|
|
The lack of age-related differences in fat-free mass as well as the higher percent body fat and fat mass in the postmenopausal runners were confirmed in the subjects who were assessed by DEXA (Table 3). Bone mineral density was not different in the two age groups (Table 3). Regional analysis of the DEXA scan (Fig. 1) revealed that the postmenopausal runners tended to have greater leg fat; however, neither arm fat nor trunk fat was significantly different in the two age groups.
|
|
Age-Related Differences in the Healthy Sedentary Controls: Comparison With the Exercising Women
In the main groups of sedentary women, habitual physical activity levels were similar,DEXA confirmed the lack of age-related differences in fat-free mass as well as the higher percent body fat and fat mass in the postmenopausal compared with premenopausal sedentary women (Table 3). Bone mineral density was not different across age in the sedentary women (Table 3). Regional analysis of the DEXA scans (Fig. 1) indicated that the postmenopausal sedentary women had greater leg, trunk, and arm fat compared with the premenopausal women.
In the main subject groups, the age-associated differences in percent body fat (~50%), fat mass (~150%), waist circumference (~450%), and abdominal, suprailiac, and subscapular skinfold thicknesses (~300-800%) were greater in the sedentary controls compared with the runners (Table 2). In the DEXA subgroups, the age-related difference in trunk fat was greater (~100%) and the difference in arm fat tended to be greater (~60%) in the sedentary controls compared with the exercising women (Fig. 1).
Relation Between Exercise Volume and Whole Body Adiposity in the Regularly Exercising Women With Age
Univariate correlations performed on the pooled main group of regularly exercising women revealed that exercise volume was inversely related to percent body fat (r =
|
Relation Between
O2 max and Whole Body
Adiposity in the Regularly Exercising Women With
Age
Other Relations of Interest
Within the pooled regularly exercising women, exercise volume correlated modestly (r =Relation Between Hydrodensitometry- and DEXA-derived Measurements of Body Composition
The age-related differences in whole body composition as determined by hydrodensitometry compared with DEXA are shown in Fig. 3. The age-related differences in percent body fat, fat mass, and fat-free mass in both the sedentary and the endurance-trained women were similar with the two methods. Thus, in the present study, hydrodensitometry and DEXA provided the same information on whole body composition for healthy women varying widely in age and habitual exercise status.
|
![]() |
DISCUSSION |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
The major findings from the present study are as follows. First, body mass is not different but whole body adiposity is higher with age even in women who regularly perform vigorous endurance exercise. Second, the age-related elevation in total body fat in these active women is much smaller than that observed in healthy sedentary adult women. Third, in contrast to sedentary women, central adiposity does not differ significantly across age in women who perform high levels of endurance exercise, and this contributes to their smaller age-associated elevation in total body fatness. Fourth, neither declines in the amount of exercise performed nor in maximal aerobic capacity explain the age-associated elevations in whole body adiposity in these highly physically active women.
Body Mass and Whole Body Adiposity With Age in the Exercising Women
The results of the present study demonstrate an absence of age-related differences in body mass in women who regularly perform endurance exercise. These findings are in agreement with the results of recent cross-sectional studies from our laboratory (5) and others (23) which, taken together, support the concept that, on average, body weight does not increase significantly with age in this population. The present findings also are supported by data from recent longitudinal studies showing no increases in body mass with age in men who are able to maintain high levels of exercise training (21).Our observations do, however, indicate that whole body adiposity increases with age in these active women. The average age-related elevations in total body fat observed in the exercising women in the present study (i.e., 8% body fat and ~5 kg fat mass) are almost identical to the mean differences in percent body fat (8-9%) and fat mass (5-6 kg) reported in an earlier cross-sectional study by Kohrt and colleagues (13). These findings differ from those in our recent study on young and middle-aged adult female distance runners in which we found no age-associated differences in total body fat (5). The differences likely are due to the absence of subjects >56 yr of age in our previous investigation. Considered together, the results of the present study and those of Kohrt et al. (13) advance the idea that some increase in total adiposity occurs with age even in highly physically active women.
Comparison With Sedentary Women
Although an age-related elevation in fat mass was observed in the runners in the present study, the difference was less than one-half of that noted in the healthy sedentary women (Table 2). Our results are consistent with the age-associated differences in whole body fatness in these two populations reported previously by Kohrt and colleagues (13). Thus together these observations provide experimental support for the idea that, compared with healthy sedentary women, the increases in total adiposity with advancing age are much smaller in women who regularly engage in vigorous endurance exercise. We should point out, however, that the ratios of either percent body fat or fat mass in premenopausal compared with postmenopausal women were similar in the exercising and sedentary subject groups. This may reflect, at least on a relative basis, some common influence of age on the regulation of total adiposity in the two populations.Age-Related Differences in Regional Adiposity
How do the age-related differences in regional adiposity observed in the present study help explain 1) the higher total adiposity in the postmenopausal compared with the premenopausal exercising women and 2) the smaller difference in total adiposity with age in the exercising compared with the sedentary women?Concerning the first question, we found no statistically significant age-related differences in waist circumference, regional skinfold thicknesses, or DEXA-derived arm, trunk, or leg fat in the exercising women. However, close inspection of the skinfold (Table 2) and regional DEXA (Fig. 1) data indicate that the absolute mean skinfold thicknesses at several sites as well as fat mass in all three measured regions were directionally, although not significantly, higher in the postmenopausal compared with the premenopausal runners. More specifically, based on our DEXA results, the ~5 kg age-related difference in total fat mass in the two age groups was accounted for by ~0.5, 2.5, and 2.0 kg mean differences in fat mass in the arms, trunk, and legs, respectively. Thus the most likely explanation for the higher total body fat in the middle-aged and older exercising women is slightly greater adiposity in both the upper- and lower-body regions.
With regard to the second question, we found that the age-related differences in waist circumference (Table 2), skinfold thickness at several sites (abdominal, subscapular, and suprailiac), and trunk fat (DEXA) all were significantly smaller in the exercising women. Moreover, the age-associated differences in triceps skinfold thickness and arm fat tended to be less in the physically active women. In contrast, the age group differences in thigh skinfold thickness and leg fat were not different in the sedentary and exercising women. These data indicate that the smaller age-related difference in total body fatness in the active women was associated primarily with smaller differences in central adiposity and possibly arm fat compared with the sedentary controls.
Role of Exercise Volume and Other Factors in the Age-Related Differences in Whole Body Adiposity in the Exercising and Sedentary Women
Exercise volume. Recently, it was reported that leisure time physical activity is a significant (inverse) physiological correlate of whole body adiposity among healthy men and women of increasing age (20). Moreover, results of recent longitudinal studies in male runners suggest that marked declines in exercise training volume are associated with greater age-related increases in body fat (21, 28). Therefore, it would seem reasonable to postulate, as Kohrt and colleagues (13) have done previously, that the elevations in total adiposity with age in active women are related to declines in exercise-related energy expenditure.On the basis of our univariate correlations, our data indicate that the average weekly amount of endurance exercise performed explained only ~20% of the overall variance in total body fat in our pooled sample of physically active women. This observation of only a moderate relation between the two variables was supported by the subsequent finding that percent body fat and fat mass remained significantly greater in a subsample of postmenopausal runners matched for weekly running mileage with premenopausal runners. Thus our results are consistent with the view that relatively modest declines in exercise volume at best play only a small role in the age-related elevations in whole body adiposity in healthy women who exercise regularly. This is supported by recent observations from both cross-sectional (32) and longitudinal studies in men showing that whole body adiposity increases significantly with age despite maintenance of high levels of endurance exercise (21, 28).
Non-running-related physical activity. Another possibility is that a lower energy expenditure related to physical activity other than running may have contributed to the higher total fat in the postmenopausal exercising women. We did not measure this in the present study and, therefore, it remains a possibility.
Resting metabolic rate. Recently, we demonstrated that mean resting metabolic rate was slightly, but not significantly, lower in middle-aged and older compared with young adult physically active females (30). Most importantly, the age-related difference in resting metabolic rate was much greater in sedentary than in exercising women. As such, it is possible that a subtle decline in resting energy expenditure contributed to the elevation in total body fat across age in the active women in the present study. Alternatively, the lack of any significant age-related reduction in resting metabolic rate in exercising women may play a significant role in their smaller difference in whole body adiposity with age compared with the sedentary women.
Energy intake and composition. As
noted previously (13), elevations in total body fat across age within
the physically active women, as well as between the active and
sedentary women, could be related in part to energy intake. In the
present study, there were no significant relations between total
caloric intake or diet composition estimated from diet records and
measures of whole body adiposity in either the exercising or the
sedentary women. In addition, estimated energy intake tended to be
lower with age in both the active and the sedentary women (Table 1),
and the magnitude of the differences (17 vs. 14%) was similar
despite a smaller age-related difference in fat mass in the former.
Thus our data do not support a clear role for energy intake in
explaining differences in total adiposity within or between these
subject groups.
Energy balance. It is important to note that increases in total body fat, in either the sedentary or the physically active women, would not be due solely to changes in either energy expenditure or energy intake but rather to changes in energy balance. That is, age-related increases in adiposity may occur due to reductions in energy expenditure that are proportionately greater than reductions in energy intake. A better ability to match changes in energy intake to changes in energy expenditure with age could contribute to the smaller age-related differences in adiposity in the physically active compared with the sedentary women. However, our measurements of energy expenditure and energy intake are not sensitive enough to address this possibility directly.
Limitations
The main limitation of the present study is the cross-sectional design employed. As with all cross-sectional studies, it is possible that genetic factors and/or other lifestyle behaviors, including dietary practices, influenced the results of our group comparisons. We attempted to minimize these potential influences by matching our pre- and postmenopausal runners for age-adjusted performance (relative constitutional eliteness) and analyzing subject diet records, respectively. However, our performance matching does not necessarily eliminate constitutional differences among the groups, and there can be significant measurement error associated with analysis of diet records. As such, these factors remain as possible influences, and the reader should interpret the data presented accordingly. A second factor that may have affected our results is our subject sample sizes, which were particularly small in some of our subgroup comparisons. Finally, the present results on women distance runners may not be generalizable to all types of endurance exercise (e.g., swimming).Significance
There are several important biomedical implications of our findings. First, obesity and weight gain are associated with the development of non-insulin-dependent diabetes (4), coronary heart disease (31), and stroke (22) as well as with elevated overall premature mortality (17) in women. The apparent lack of body weight gain and smaller elevation in whole body adiposity across age in the exercising women may contribute to the lower age-related increases in morbidity and premature mortality observed in physically active women (15). Second, central adiposity appears to be the most clinically important expression of adiposity with respect to risk of chronic degenerative diseases (6, 12). As such, the absence of significant age-related elevations in central adiposity in women who exercise regularly, as suggested by the results of the present study, may play an important role in their reduced risk of developing chronic diseases with advancing age (15).Conclusions
The present findings provide experimental support for the idea that, in marked contrast to sedentary adult females, women who regularly engage in vigorous endurance exercise may not gain body weight, undergo only a modest increase in total body fat, and do not demonstrate a significant elevation in central adiposity with age. These findings may have important physiological and clinical implications for the role of regular endurance exercise in minimizing age-associated increases in body fatness-related chronic disease risk in healthy women. ![]() |
ACKNOWLEDGEMENTS |
---|
This study was supported by National Institutes of Health Grants AG-06537, AG-13038, and HL-39966 (D. R. Seals); HL-08834 and AG-00687 (K. P. Davy); HL-08870 and AG-0069 (E. T. Stevenson); AG-05705 and AG-00828 (P. P. Jones); by Research Supplement to Minority Individuals in Postdoctoral Training Grants HL-39966 and to AG-13038 (C. A. DeSouza); and by Grant 5 01 RR-00051 from the Division of Research Resources.
![]() |
FOOTNOTES |
---|
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: D. R. Seals, Univ. of Colorado, Dept. of Kinesiology and Applied Physiology, Campus Box 354, Boulder, CO 80309.
Received 2 April 1998; accepted in final form 22 June 1998.
![]() |
REFERENCES |
---|
![]() ![]() ![]() ![]() ![]() ![]() ![]() |
---|
1.
Bjorntorp, P.
Metabolic implications of body fat distribution.
Diabetes Care
14:
1132-1143,
1991[Abstract].
2.
Bonora, E.,
R. Micciolo,
A. A. Ghiatas,
J. L. Lancaster,
A. Alyassin,
M. Muggeo,
and
R. A. DeFronzo.
Is it possible to derive a reliable estimate of human visceral and subcutaneous abdominal adipose tissue from simple anthropometric measures?
Metabolism
44:
1617-1625,
1995[Medline].
3.
Brozek, J.,
F. Grande,
J. T. Anderson,
and
A. Keys.
Densitometric analysis of body composition: revision of some quantitative assumptions.
Ann. NY Acad. Sci.
110:
113-140,
1963.
4.
Colditz, G.,
W. Willet,
A. Rotnitzky,
and
J. Manson.
Weight gain as a risk factor for clinical diabetes mellitus in women.
Ann. Intern. Med.
122:
481-486,
1995
5.
Davy, K. P.,
S. L. Evans,
E. T. Stevenson,
and
D. R. Seals.
Adiposity and regional body fat distribution in physically active young and middle-aged women.
Int. J. Obes.
20:
777-783,
1996.
6.
Despres, J. P.,
S. Moorjani,
P. J. Lupien,
A. Tremblay,
A. Nadeau,
and
C. Bouchard.
Regional distribution of body fat, plasma lipoproteins, and cardiovascular disease.
Arterioscler. Thromb.
10:
497-511,
1990[Abstract].
7.
Durnin, J. V. G. A.,
and
J. Womersly.
Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years.
Br. J. Nutr.
32:
77-97,
1974[Medline].
8.
Evans, S. L.,
K. P. Davy,
E. T. Stevenson,
and
D. R. Seals.
Physiological determinants of 10-km performance in highly trained female runners of different ages.
J. Appl. Physiol.
78:
1931-1941,
1995
9.
Going, S. B.,
D. P. Williams,
T. G. Lohman,
and
M. J. Hewitt.
Aging, body composition, and physical activity: a review.
J. Aging Phys. Act.
2:
38-66,
1994.
10.
Han, T.,
G. McNeill,
J. Seidell,
and
M. Lean.
Predicting intra-abdominal fatness from anthropomeetric measures: the influence of stature.
Int. J. Obes. Relat. Metab. Disord.
21:
587-593,
1997[Medline].
11.
Holloszy, J.,
and
W. Kohrt.
Exercise.
In: Handbook of Physiology. Aging. Bethesda, MD: Am. Physiol. Soc., 1995, sect. 11, chapt. 24, p. 633-658.
12.
Kissebah, A.,
and
R. Krakower.
Regional adiposity and mortality.
Physiol. Rev.
74:
791-811,
1994.
13.
Kohrt, W. M.,
M. T. Malley,
G. P. Dalsky,
and
J. O. Holloszy.
Body composition of healthy sedentary and trained, young and older men and women.
Med. Sci. Sports Exerc.
24:
832-837,
1992[Medline].
14.
Kuczmarski, R. J.,
K. M. Flegal,
S. M. Campbell,
and
C. L. Johnson.
Increasing prevalence of overweight among US adults: The National Health and Nutrition Examination Surveys, 1960 to 1991.
JAMA
272:
205-211,
1994[Abstract].
15.
Kushi, L.,
R. Fee,
A. Folsom,
P. Mink,
K. Anderson,
and
T. Sellers.
Physical activity and mortality in postmenopausal women.
JAMA
277:
1287-1292,
1997[Abstract].
16.
Lohman, T. G.,
A. F. Roche,
and
R. Martorell.
Anthropometric Standardization Reference Manual. Champaign, IL: Human Kinetics, 1988.
17.
Manson, J.,
W. Willett,
J. Meir,
G. Colditz,
D. Hunter,
S. Hankinson,
C. Hennekens,
and
F. Speizer.
Body weight and mortality among women.
N. Engl. J. Med.
333:
677-685,
1995
18.
Mazess, R.,
H. Barden,
J. Bisik,
and
J. Hanson.
Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition.
Am. J. Clin. Nutr.
51:
1106-1112,
1990[Abstract].
19.
Ng, A.,
R. Callister,
D. Johnson,
and
D. Seals.
Age and gender influence muscle sympathetic nerve activity at rest in healthy humans.
Hypertension
21:
498-503,
1993[Abstract].
20.
Poehlman, E. T.,
M. J. Toth,
L. B. Bunyard,
A. W. Gardner,
K. E. Donaldson,
E. Colman,
T. Fonung,
and
P. A. Ades.
Physiological predictors of increasing total and central adiposity in aging men and women.
Arch. Intern. Med.
155:
2443-2448,
1995[Abstract].
21.
Pollock, M. L.,
L. J. Mengelkoch,
J. E. Graves,
D. T. Lowenthal,
M. C. Limacher,
C. Foster,
and
J. H. Wilmore.
Twenty-year follow-up of aerobic power and body composition of older track athletes.
J. Appl. Physiol.
82:
1508-1516,
1997
22.
Rexrode, K.,
C. Hennekens,
W. Willett,
G. Colditz,
M. Stampfer,
J. Rich-Edwards,
F. Speizer,
and
J. Manson.
A prospective study of body mass index, weight change, and risk of stroke in women.
JAMA
277:
1539-1545,
1997[Abstract].
23.
Ryan, A.,
B. Nicklas,
and
D. Elahi.
A cross-sectional study on body composition and energy expenditure in women athletes during aging.
Am. J. Physiol.
271 (Endocrinol. Metab. 34):
E916-E921,
1996
24.
Sallis, J. F.,
W. L. Haskell,
P. D. Wood,
S. P. Fortmann,
T. Rogers,
and
S. N. Blair.
Physical activity assessment methodology in the Five-City Project.
Am. J. Epidemiol.
121:
91-106,
1985[Abstract].
25.
Stevenson, E. T.,
K. P. Davy,
and
D. R. Seals.
Maximal aerobic capacity and total blood volume in highly trained middle-aged and older female endurance athletes.
J. Appl. Physiol.
77:
1691-1696,
1994
26.
Svendsen, O. L.,
C. Hassager,
I. Bergmann,
and
C. Christiansen.
Measurement of abdominal and intra-abdominal fat in postmenopausal women by dual energy x-ray absorptiometry and anthropometry: comparison with computerized tomography.
Int. J. Obes.
17:
45-51,
1992.
27.
Tanaka, H.,
and
D. Seals.
Age and gender interactions in physiological functional capacity: insight from swimming performance.
J. Appl. Physiol.
82:
846-851,
1997
28.
Trappe, S. W.,
D. L. Costill,
M. D. Yukovich,
J. Jones,
and
T. Melham.
Aging among elite distance runners: a 22-yr longitudinal study.
J. Appl. Physiol.
80:
285-290,
1996
29.
Treuth, M. S.,
G. R. Hunter,
and
T. Kekes-Szabo.
Estimating intraabdominal adipose tissue in women by dual-energy X-ray absorptiometry.
Am. J. Clin. Nutr.
62:
527-532,
1995[Abstract].
30.
Van Pelt, R.,
P. Jones,
K. Davy,
C. DeSouza,
H. Tanaka,
B. Davy,
and
D. Seals.
Regular exercise and the age-related decline in resting metabolic rate in women.
J. Clin. Endocrinol. Metab.
82:
3208-3212,
1997
31.
Willet, W.,
J. Manson,
M. Stampfer,
G. Colditz,
B. Rosner,
F. Speizer,
and
C. Hennekens.
Weight, weight change and coronary artery disease in women.
JAMA
273:
461-465,
1995[Abstract].
32.
Williams, P. T.
Evidence for the incompatibility of age-neutral overweight and age-neutral physical activity standards from runners.
Am. J. Clin. Nutr.
65:
1391-1396,
1997[Abstract].
33.
Wilmore, J. H.
A simplified technique for determination of residual lung volumes.
J. Appl. Physiol.
27:
96-100,
1969