When adjusted for age and diet, 10-km performance was only moderately correlated with weekly running distance (males, r = 0.43; females, r = 0.40). These correlations were slightly weakened when adjusted for BMI in addition to age and diet (males, r = 0.36; females, r = 0.35). On average, each 1 km·wk−1 increase in running distance was associated with a 0.0095 ± 0.0001 m·s−1 increment in 10-km performance in men, and a 0.0090 ± 0.0002 m·s−1 increment in performance in women.
Table 3 shows that running longer weekly distances at baseline was associated with reductions in the odds of the men becoming hypertensive (P < 0.0001). The women's decline in the odds per km run was similar to that of the men but was only marginally significant (P = 0.08). Adjustment for BMI eliminated the significant reduction in men's hypertension per kilometer run.
Faster 10-km performance predicted significantly lower odds for the men and women becoming hypertensive during follow up. Adding physical activity to the model had little effect on the fitness coefficients. BMI accounted for nearly one half of the reduction in hypertension associated with activity-adjusted performance. However, even when adjusted for both running distance and BMI, 10-km performance remained a significant predictor for decreased hypertension in men (P < 10−6) and women (P = 0.05).
Figure 1 displays the reduction in odds for hypertension with running distance. Two types of comparisons are used to test the dose-response relationship. First, we compare whether the odds ratio is significant relative to the lowest-mileage runners. Second, we test at each running distance, whether there is a significant odds reduction by running further. The figure shows that men running >16 km·wk−1 had lower odds for hypertension relative to running 0-16 km·wk−1 (P = 0.0004), and although the reduction becomes more significant by running further, there is no significant odds reduction running >32 km·wk−1 versus 16 to 32 km·wk−1 (P = 0.06).
Figure 1 also displays the dose-response relationship of incident hypertension versus 10-km performance. The cut points were chosen to include a reasonable sample size in each interval, and therefore were shifted towards a faster running pace in men vis-à-vis women. The men's odds for becoming hypertensive declined linearly with faster 10-km performance, and declined significantly for every 0.5 m·s−1 increment in running velocity through 4.25 m·s−1. This relationship was independent of the quantity of running (km·wk−1) at baseline but could be attributed in part to BMI. However, even when adjusted for BMI, men who ran faster than 3.75 m·s−1 had a significantly lower odds ratio for developing hypertension relative to the least-fit men. Women who ran faster than 3.2 m·s−1 had significantly lower odds for becoming hypertensive than least-fit women, which was independent of their running distance, but not of their BMI.
In both men and women, running further was associated with lower odds for incident physician-diagnosed high cholesterol (Table 3), which persisted even when adjusted for BMI (men, P < 10−10; women, P = 0.0005), 10-km performance (men, P < 10−10; women, P = 0.0004), and BMI and fitness simultaneously (men, P < 0.0001; women, P = 0.003). Figure 2 shows thatthe odds for developing high cholesterol declined significantly for each 16 km·wk−1 increment in running distance through 64 km·wk−1 in men and through 32 km·wk−1 in women. Some, but not all, of the odds reductions were attributable to the lower BMI of the longer-distanced runners.
The odds for incident high cholesterol were also significantly lower in men and women who were fitter at baseline, even when adjusted for exercise levels (Table 3). Adjustment for exercise increased the odds ratio for 10-km performance only slightly, and in both sexes faster race performance predicted significantly lower odds for developing high cholesterol when adjusted. Only a portion of the association between performance and incident hypercholesterolemia was attributable to BMI and the BMI-adjusted fitness effects remained significant. Simultaneous adjustment for both BMI and running distance further reduced the fitness effect, particularly in women, however, in men, faster 10-km performance lowered the odds for developing hypercholesterolemia when adjusted for both (P < 10−6).
Figure 2 shows that incident hypercholesterolemia declined linearly with 10-km performance, which was only slightly attenuated by adjusting for either running distance or BMI. The odds for hypercholesterolemia declined significantly with each 0.5 m·s−1 increment in men's fitness through 4.25 m·s−1 and with each 0.4 increment in women's fitness through 4 m·s−1 (except 3.2-3.6 vs higher fitness).
Table 2 shows that baseline running distance also predicted incident physician-diagnosed diabetes in both sexes, but this was attributed entirely to the leanness of the longer-distanced runners. In contrast, 10-km performance predicted incident diabetes even when adjusted for the initial leanness of fitter men at baseline. In both sexes, the odds ratios relating incident diabetes to baseline meters per second was affected negligibly by adjustment for distance and remained statistically significant (men, P < 10−10; women, P = 0.01). The odds ratios were doubled when adjusted for baseline BMI, but remained strongly significant in men (P = 0.0001). The women's 10-km performance coefficient was consistent with that of the men (Table 3); however, only 28 women became diabetic during follow up, which limits the statistical power to test the effect. Figure 3 displays the similarity in the men's and women's declines in the odds for incident diabetes with increasing fitness. The odds for diabetes declined with each 0.5 m·s−1 increment through 3.75 m·s−1 in men and with each 0.4 m·s−1 increment through 3.2 m·s−1 in women.
These prospective data strengthen considerably our initial cross-sectional assessment of the strong inverse relationship between cardiorespiratory fitness (10-km race performance in meters per second) and the prevalence of antidiabetic, antihypertensive, and cholesterol-lowering medications (39). They show dose-response relationships of vigorous physical activity with diabetes, hypertension, and hypercholesterolemia that extend substantially beyond the minimum guideline levels (13,28). Their strength derives from the measurement of physical activity and cardiorespiratory fitness before the diagnosis of disease, which is consistent with the premise that cause should precede effect.
Physical activity is defined as voluntary movements produced by skeletal muscles that result in energy expenditure, whereas cardiorespiratory fitness relates to the ability of circulation and respiration to supply oxygen during sustained physical activity (8,28). The significant reductions in the odds for hypertension, hypercholesterolemia, and diabetes with increasing cardiorespiratory fitness were statistically significant before and after the adjustment for physical activity, and adjustment for physical activity produced small changes in the odds ratios for fitness (Table 3). This suggests that cardiorespiratory fitness is an independent determinant for these maladies for reasons not necessarily related to physical activity. Current public health guidelines do not distinguish between being physically more fit and physically more active (28). Physical activity may be the appropriate treatment for the unfit, but inactivity may not be its principal cause. Cardiorespiratory fitness is said to be as informative a predictor for cardiovascular disease as are blood pressure, lipoproteins, or glucose-tolerance tests (25). Our results suggest the importance of ascertaining fitness in routine clinical practice and of scientific investigations into the etiology of low fitness beyond inactivity.
Elsewhere we have used meta-analysis to show that reductions in cardiovascular disease risk differed in relation to cardiorespiratory fitness and physical activity (32). We have also argued that cardiorespiratory fitness cannot be a better measure of physical activity than reported activity per se because estimates provided by physical activity questionnaires correlate more strongly with their repeated measurements than with cardiorespiratory fitness (32). Simulation studies show that differences in cardiovascular-disease risk from purported changes in cardiorespiratory fitness could be an artifact of measurement error (33,34). These observations, together with published contrary opinions (3,18), will be germane to the crafting of future recommendations.
We hypothesize that intrinsic differences across individuals, including genetic differences, account in part for individual differences in cardiorespiratory fitness. Intraclass correlations of estimated maximum aerobic uptake in Norwegian twins were 0.62 for monozygotics and 0.29 for dizygotics, suggesting heritability of over 60% (26). This agrees with a 66% heritability estimate from a smaller study of twins in which V˙O2max was measured directly and adjusted for body weight, fat, and sports participation (12). Genetic factors were estimated to account for approximately 40% of the variance in V˙O2max in family sets (21). Fifty percent heritability was reported for V˙O2max in the sedentary state (6) and ΔV˙O2max in response to training (7) in the HERITAGE family study.
Our analyses demonstrate statistically significant and clinically important health benefits to exceeding 30 min or more of moderate intensity physical activity over the course of most days of the week. Specifically, the logistic regression analyses of Table 3 demonstrate a significant dose-response relationship over a range of activity levels that exceeds guideline levels. One specific way to meet the guideline recommendation is to walk 2 miles briskly. A 2-mile brisk walk 5-7 d·wk−1 is the energy equivalent of running 10.9 to 15.2 km·wk−1 (1), which corresponds to our least-active distance category. Compared to the odds for men at this guideline level, Figures 1-3 show that the odds for hypercholesterolemia decreased significantly with every 16 km·wk−1 through 64 km·wk−1, and odds for hypertension decreased by running >16 km·wk−1 and for diabetes by running >48 km·wk−1. The odds for hypercholesterolemia in women also generally decreased with each 16 km·wk−1 increase through 48 km·wk−1. The trends for diabetes in women were similar to those displayed for men, but there was less statistical power to identify the women's associations as statistically significant. Cross-sectional observations show fasting-plasma glucose levels, systolic and diastolic blood pressures, and plasma LDL-cholesterol levels all decline with running distance through at least 64 km·wk−1 (30), and that runners' blood pressures are more strongly associated with 10-km performance times than with running distances (31). Collectively, these findings suggest that the health benefits of physical activity continue to accrue through at least 64 km·wk−1.
The final report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) recommends a moderate amount of moderate intensity physical activity as part of a therapeutic lifestyle change to favorably affect metabolic syndrome, lower triglycerides, and increase high-density lipoproteins (27). The report states that the efficacy of LDL-cholesterol lowering by exercise is limited to some individuals. This perception is in contradiction to the strong inverse association demonstrated in Figure 2 between hypercholesterolemia and distance run and the strong inverse association we reported cross-sectionally between LDL-cholesterol levels and running distances in men (30). Running is a vigorous activity requiring between 7 and 16 METs, depending on intensity (1), and physical activity could need to be vigorous to prevent elevation of LDL or may require quantities greater than generally attained by moderately intense activity.
Adjustment for BMI eliminated the significant reduction in hypertension with running distance, which we interpret as evidence of the mediating effects of BMI, i.e., exercise attenuates age-related weight gain and thereby reduces the risks of diabetes, hypertension, and high cholesterol. In western societies, men and women usually gain weight with age (35). We have shown that long-term runners experience less weight gain over time in proportion to their weekly distance run (35), but then are subject to accelerated weight gain when they cease running that is not simply lost when running resumes (37). Self-selection based on pre-exercise weight accounts for 26% and 58% of the leanness associated with physical activity dose in the male and female runners, respectively, but all of the leanness are associated with their 10-km performance (38).
The limitation of these analyses warrant acknowledgement. We studied runners specifically because cohorts recruited geographically, occupationally, clinically, or to be representative of the general population do not generally provide adequate statistical power to define the dose-response relationship between the dose of vigorous physical activity and health. For analyses of cardiovascular fitness, our sample was restricted somewhat further to subjects who had completed a 10-km foot race during the previous 5 yr (85% of men, 76% of women). Thus the associations reported here are relevant to a range of activities and fitness that are generally more active than reported by others (15,22). However, our goals are to complement rather than to replicate previous reports by assessing the dose-response relationships over a range of fitness and physical activity levels poorly represented in other cohorts. We acknowledge despite their average of 4 yr of college education, self-reported incident hypertension, hypercholesterolemia, and diabetes may be subject to greater error than in cohorts of physicians or nurses (10). Errors in reporting these outcomes will contribute to less statistical power to detect the association, but there is no a priori reason to assume that this would vary by the dose of physical activity or fitness level. We do not believe that the declining incidence of hypertension, hypercholesterolemia, and diabetes with running distance is because of the avoidance of opportunities for diagnosis in the more athletic men. The Health Professional Study reported that their more vigorously active participants had more routine medical check-ups than less active men (19), and there was no difference in routine medical check-up by activity level in the Nurses' Health Study (20). The estimated risk reductions cited here and in other reports may underestimate the benefits of physical activity due to exercise recidivism during follow-up, e.g., the decline in the risk for diabetes per kilometer per week run for all male runners is 42% less than for men who maintained their exercise within ±5 km·wk−1 between baseline and the conclusion of follow up (36).
In summary, we have demonstrated that clinically important health improvements are likely to accrue at higher doses of physical activity than the minimum guideline levels. This is consistent with the greater emphasis given to prolonged vigorous exercise in the most recent update of the AHA and ACSM guidelines (13). Although the Institute of Medicine advocates exercising more vigorously for longer durations to maintain healthy weight (17), the potential benefits of prolonged vigorous exercise have traditionally not been strongly emphasized by other public health policy statements (9,13,25,27,28). Second, prolonged vigorous exercise may warrant greater recognition in the prevention of hypercholesterolemia. Third, high cardiorespiratory fitness reduces the risks for hypertension, hypercholesterolemia, and diabetes, independent of physical activity, and may be an important risk factor separate from physical activity. Our findings support the testing of cardiorespiratory fitness as part of routine clinical evaluations for assessing disease risk.
This study was supported in part by grants HL-45652, HL-072110, and DK-066738 from the National Heart Lung and Blood Institute, and was conducted at the Ernest Orlando Lawrence Berkeley Laboratory (Department of Energy DE-AC03-76SF00098 to the University of California). Results of the present study do not constitute endorsement by ACSM.
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Keywords:©2008The American College of Sports Medicine
EPIDEMIOLOGY; RUNNING; CARDIORESPIRATORY FITNESS; PREVENTION