The Effects of Physical Activity on Health and Disease Main findings Inverse association; statistically significant trend among nonhypertensive participants, U-shaped association among hypertensive participants Inverse association when adjusted only for age; null association when adjusted for cholesterol, blood pressure, BMI, diabetes, etc. Inverse association; RR for CHD incidence in low fitness group was 2.2 (95% Cl, 1.1-4.7) compared with high fitness Inverse association; point estimates and significance not reported inverse association; point estimates and significance not reported , Inverse association; RR for myocardial infarction and sudden death in low fit group was 1.6 relative to high fit Inverse association; adjusted risk estimate of 3.2-fold increased risk of CHD death for a 35 beat/min increase in heart rate for stage II of exercise test Inverse association; adjusted risk estimate for highest heart rate response group relative to lowest was 1.20 (95% Cl, 1.10-1.26) Inverse association; relative to more fit men, least fit men had an adjusted risk of 1.46 (95% Cl, 0.94—2.26) Dose response" Yes/No No NA Yes Yes Yes Yes Yes Yes Adjustment for confounders and other comments In hypertensive men, the protective effect of physical activity was eliminated with vigorous activity Follow-up report to that of Yano, Reed, McGee (1984) and Donahue et al. (1988) Similar results seen when men with electrocardiogram evidence of heart disease were excluded No adjustment for confounding variables No adjustment for confounding variables One of two studies to simultaneously evaluate associations of activity, fitness, and CHD Extensive control for confounding influences Risk estimate attenuated substantially after adjustment for other CHD risk factors One of two studies to simultaneously evaluate activity and fitness in relation to CHD mortality Abbreviations: BMI = Body mass index (wt [kg] /ht (m}?); CHD = coronary heart disease; Cl = confidence interval; ICD = International Classification of Diseases (8 and 9 refer to editions): IMF = ischemic myocardial fibrosis; RR = relative risk. ‘A dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. 101 Physical Activity and Health lipids in children (Lee, Lauer, Clarke 1986), and that CHD risk factor patterns persist from childhood to adulthood (Webber etal. 1991; Mahoney etal. 1991). Recently, Armstrong and Simons-Morton (1994) reviewed the research literature on physical activity and blood lipids in children and adolescents, includ- ing over 20 observational and 8 intervention studies. They concluded that the cross-sectional observa- tional studies did not demonstrate a relationship between physical activity level or cardiorespiratory fitness and total cholesterol, LDL-C, or HDL-C, especially when differences in body weight or fat were taken into account, suggesting that activity and body fat are not independently related to serum lipids. However, highly physically active or fit chil- dren and adolescents tended to have higher HDL-C than their inactive or unfit peers. The intervention studies generally showed favorable effects of exer- cise on LDL-C or HDL-C only in children and adolescents who were at high risk for CHD because of obesity, insulin-dependent diabetes mellitus, or having a parent with three or more CHD risk factors. Alpert and Wilmore (1994) recently reviewed the research literature on physical activity and blood pressure in children and adolescents, including 18 observational and 11 intervention studies. These authors found evidence in studies of normotensive children and adolescents that higher levels of physi- cal activity tended to be related to lower blood pressure. The associations were generally reducedin magnitude in those studies that adjusted for BMI, suggesting that lower body fat mass may at least partly explain why physical activity is related to lower blood pressure. Intervention studies tended to show that training programs lowered blood pressure by 1-6 mm Hg in normotensive children and adoles- cents, although the effects were inconsistent for boys and girls and for systolic and diastolic blood pres- sure. In hypertensive children and adolescents, physi- cal activity interventions lowered blood pressure to a greater degree than in their normotensive peers (by approximately 10 mm Hg), although statistical significance was not always achieved because of small sample sizes. Interpreting these studies on lipids and blood pressure in children and adolescents is hindered by several factors. Studies used a variety of physical activity categorizations, and the interventions cov- ered a wide range of frequency, type, duration, and 102 intensity, which were not all specified. The difficul- ties of assessing physical activity by self-report in children and adolescents, together with the highly self-selected population in the observational studies, may account for the less consistent findings on lipids and physical activity that were reported for children and adolescents than for adults. The relationship between dose of physical activity and amount of effect on blood pressure or serum lipids in children has not been adequately addressed. Nonetheless, there appears to be some evidence, although not strong, ofa direct relationship between physical activity and HDL-C. level in children and adolescents. There is also evidence that increased physical activity can favorably influence the lipid profile in children and adolescents who are at high risk of CHD. Similarly, the evidence suggests that physical activity can lower blood pressure in chil- dren and adolescents, particularly in those who have elevated blood pressure. Stroke A major cardiovascular problem in developed coun- tries, stroke (ischemic stroke and hemorrhagic stroke) is the third leading cause of death in the United States (NCHS 1994). Atherosclerosis of the extracranial and intracranial arteries, which triggers thrombosis, is thought to be the underlying pathologic basis of ischemic stroke. Cigarette smoking and high blood pressure are major risk factors for ischemic stroke, whereas high blood pressure is the major determi- nant of hemorrhagic stroke. The studies cited in this section examined the association between reported level of physical activity and stroke. No published studies have examined the association between car- diorespiratory fitness and stroke. Fourteen population-based studies (four that include women) relate physical activity to risk of all types of stroke; these closely parallel the study designs and populations previously cited for CVD and CHD (Table 4-3). Thirteen of the studies were cohort studies (follow-up range, 5-26 years). Only eight found an inverse association. As with the earlier studies on CHD, the earlier studies of stroke did not permit a dose-response evaluation. Among later studies that could do so by virtue of design, half did not find a gradient. This outcome, coupled with some suggestion of a “U-shaped” association in two studies (Menotti and Seccareccia 1985; Lindsted, Tonstad, Kuzma 1991), casts doubt on the nature of the association between physical activity and risk of both types of strokes combined. Because of their different pathophysiologies, physical activity may not affect ischemic and hemor- rhagic stroke in the same way; this issue requires more research. Only one study distinguished be- tween ischemic and hemorrhagic stroke (Abbott et al. 1994). In this study, inactive men were more likely than active men to have a hemorrhagic stroke; physi- cal activity was also associated with a lower risk of ischemic stroke in smokers but not in nonsmokers. Thus the existing data do not unequivocally support an association between physical activity and risk of stroke. High Blood Pressure High blood pressure is a major underlying cause of cardiovascular complications and mortality. Organ damage and complications related to elevated blood pressure include left ventricular hypertrophy (which can eventually lead to left ventricular dysfunction and congestive heart failure), hemorrhagic stroke, aortic aneurysms and dissections, renal failure, and retinopathy. Atherosclerotic complications of high blood pressure include CHD, ischemic stroke, and peripheral vascular disease. Although rates of hyper- tension have been declining in the United States since 1960, nearly one in four Americans can be classified as being hypertensive (DHHS 1995). Prospective observational studies relating physi- cal activity level or cardiorespiratory fitness to risk of hypertension are summarized in Table 4-4. Several cohort studies have followed male college alumni after graduation. One found later develop- ment of hypertension to be inversely related to the reported number of hours per week of participation in sports or exercise while in college (Paffenbarger, Thorne, Wing 1968). In a later follow-up of the same cohort, using information on physical ac- tivity during mid-life, vigorous sports were asso- ciated with a 19-30 percent reduction in risk of developing hypertension over the 14-year period (Paffenbarger et al. 1991). Follow-up of a different cohort of male college alumni similarly showed the least active men to have a 30 percent increased risk of developing hypertension (Paffenbarger et al. The Effects of Physical Activity on Health and Disease 103 1983). Ina study of 55- through 69-year-old women followed for 2 years, the most active women were found to have a 30 percent reduced risk of develop- ing hypertension (Folsom et al. 1990). One randomized trial for the primary prevention of hypertension has been conducted. A 5-year trial of a nutrition and physical activity intervention showed that the incidence of hypertension for the interven- tion group was less than half that of the control group (Stamler et al. 1989). Participants in the intervention group lost more weight than those in the control group, reduced more of their sodium and alcohol intake, and were more likely to become more physi- cally active. Although the effects of the nutritional and physical activity components of this interven- tion cannot be separated, the study does show that the risk for developing hypertension among persons who are at high risk for the disease can be lowered by weight loss and improvements in dietary and physi- cal activity practices. Like physical inactivity, low cardiorespiratory fitness in middle age is associated with increased risk for high blood pressure. After adjustment for sex, age, baseline blood pressure, and body mass index, persons with low cardiorespiratory fitness had a 52 percent higher risk of later developing high blood pressure than their fit peers (Blair et al. 1984). Taken together, the cohort studies show that physical inactivity is associated with an increased risk of later developing hypertension among both men and women. Three of the studies had more than two categories of physical activity for comparison, and each demonstrated a dose-response gradient between amount of activity and degree of protection from hypertension. Point estimates for quantifica- tion of risk suggest that those least physically active have a 30 percent greater risk of developing hyper- tension than their most active counterparts. Unfor- tunately, none of these studies was conducted in minority populations, which have a disproportion- ate burden of hypertensive disease (DHHS 1995). Several randomized controlled trials have been conducted to determine the effects of exercise on blood pressure in people with elevated blood pres- sure levels. The reduction of elevated blood pressure is important for preventing stroke and CHD, for which high blood pressure is a risk factor with a dose-response relationship (NIH 1992). Thirteen Physical Activity and Health Table 4-3. Population-based studies of associatio Study Paffenbarger and Williams (1967) Paffenbarger (1972) Kannel and Sorlie (1979) Salonen et al. (1982) Herman et al. (1983) Paffenbarger et al. (1984) Menotti and Seccareccia (1985) Lapidus and Bengtsson (1986) Menotti et al. (1990) Population > 50,000 US male college alumni aged 30-70years 3,991 US longshoremen aged 35 years and older; 18.5-year follow-up from 1951 1,909 Framingham (MA) men aged 35-64 at 4th biennial examina- tion; 14-year follow-up 3,829 women and 4,110 men aged 30-59 years from Eastern Finland; 7-year follow-up 132 hospitalized Dutch stroke case-patients and 239 age- and sex-- matched controls; men and women aged , 40-74 years 16,936 US male college alumni who entered college between 1916 and 1950; followed from 1962-1978 99,029 Italian males railroad employees aged 40-59 years; 5-year follow-up 1,462 Swedish women aged 38-60; follow-up between 1968 and 1981 8,287 men aged 40-59 years in six of seven countries from Seven Countries Study; 20-year follow-up Definition of physical activity Participation in college varsity athletics (yes/no) Occupational activity (cargo handler or not) Physical activity index based on hours per day spent at activity- specific intensity Dichotomous assessment of occupational physical activity (low/high) Leisure-time physical activity (greatest portion of one’s lifetime) ranging from little to regular-heavy Physical activity index estimated from reports of stairs climbed, city blocks walked, and sports played each week Classification of occupational physical activity (heavy, moderate, sedentary) Work and leisure physical activity assessed via 4-scales for lifetime and for the time before 1968 baseline Classification of occupational physical activity (heavy, moderate, sedentary) n of physical activity with stroke (CVA) Definition of stroke Hemorrhagic and ischemic stroke death (n = 171) Hemorrhagic and ischemic stroke death (n = 132) Cerebrovascular accident (n = 87) - Cerebral stroke (ICD-8 430-437) morbidity and mortality among men (n = 71) and women (n = 56) Rapidly developed clinical signs of focal or global disturbance of cerebral function lasting more than 24 hours or leading to death with no apparent cause other than vascular origin Death due to stroke (n = 103) Fatal stroke ( = 187) Fatal and nonfatal stroke (n = 13) Fatal stroke (cohort analysis) 104 The Effects of Physical Activity on Health and Disease Main findings Inverse association; nondecedents were 2.2 times as likely to have participated in varsity sports than were decedents; hemorrhagic strokes = 2.1, occlusive strokes = 2.5 Noncargo handlers were 1.11 times as likely as cargo handlers to die from stroke Inverse association between physical activity index and 14-year incidence of stroke Inverse association with statistically significant RRs for men and women with low levels of physical activity at work were’1.5 (95% Cl, 1.2~-2.0) for men and 2.4 (95% Cl, 1.5-3.7) for women Inverse association; relative to lowest physical activity category, risk estimates were 0.72 (95% Cl, 0.37-1.42) for moderate and 0.41 (95% Cl, 0.21-0.84) for high categories Inverse association; relative to highest category of index (2,000+ kcal/week), risk estimates in next two lower categories were 1.25 and 2.71, respectively Nonlinear “U” shape association; relative to sedentary category, men in moderate and heavy occupational activity categories had risks of 0.65 and 1.0, respectively Inverse association; women with low physical activity at work were 7.8 times as likely as others to have stroke (95% Cl, 2.7-23.0); womenwith low physical activity leisure were 10.1 times as likely as others to have stroke - (95% Cl, 3.8-27.1) Null association Dose response” NA NA Yes NA Yes Yes No NA No Adjustment for confounders and other comments Results adjusted for age only Results adjusted for age only No statistical significance after controlling for several confounding variables Evidence for inverse association for low activity during leisure time, but no statistical significance after adjustment for other factors Adjusted for a variety of potential confounding influences Significant dose-response trend after adjusting for differences in age, cigarette smoking, and hypertension prevalence Age-adjusted only Age-adjusted only No association after statistical adjustment for risk factors 105 Physical Activity and Health Table 4-3. Continued Definition of Definition of Study Population physical activity stroke Harmsen et al. 7,495 Swedish men Physical activity at work and Fatal stroke (1990) aged 47-55 years at leisure hours (low, high) (all and subtypes) baseline examination; (n = 230) 11.8-year average follow-up Lindsted, 9,484 male Seventh- Self-report of physical activity Fatal stroke (n = 410) Tonstad, Day Adventists aged level in 1960 (highly active, Kuzma, > 30 years; 26-year moderately active, low activity) (1991) follow-up Wannamethee 7,735 British men aged Self-report of physical activity at Fatal and nonfatal stroke and Shaper 40-59 years; 8.5-year baseline; 6-point scale defined on (n = 128) (1992) follow-up the basis of type and frequency of activity Abbott et al. 7,530 Hawaiian men of Self-report of 24-hour habitual Fatal and nonfatal (1994) . Japanese ancestry aged physical activity in 1965-1968 neurologic deficit 45-68 years; 22-year (inactive, partially active, active) with sudden follow-up occurrence and remaining present for at least 2 weeks or until death (subtypes) (n = 537) Kiely et al. Four cohorts of Self-report of daily activity level; Fatal and nonfatal (1994) Framingham (MA) men composite score formulated from first occurrence of and women: cohort |— index and categorized into high, atherothrombotic brain 1,897 men aged 35-69 medium, and low physical activity infarction, cerebral years; cohort 12,299 embolism, or other stroke women aged 35-68 (cohort I, n = 195; years; cohort Ill—men cohort Il, n = 232; aged 49-83 years; cohort Il, n = 113; cohort I1V—-women cohort IV, n = 140) aged 49-83 years; follow-up for cohorts | and Il up to 32 years, for cohorts {Il and IV up to 18 years 106 The Effects of Physical Activity on Health and Disease Main findings Null association; relative to low physical activity category, slightly elevated estimates were observed for all strokes and subtypes for high activity group Nonlinear “U” shape association; relative to low activity level, risk estimates were 0.78 (95% Cl, 0.61—-1.00) for moderate activity and 1.08 (95% Cl, 0.58-2.01) for high activity Inverse association; statistically significant linear trend of lower risk of stroke with higher physical activity scale Null association seen for all strokes and all subtypes for men aged 45-54 years Inverse association seen for all strokes and subtypes for men aged 55-68 years Risk estimate relative to low physical activity group: cohort |—nonsignificant inverse association for medium group = 0.90 (0.62-1.31) and for high group = 0.84 (0.59-1.18); cohort li—nonsignificant nonlinear association for medium group = 1.21 (0.89-1.63) and for high group = 0.89 (0.60-1.31); cohort Ili—significant inverse association for medium group = 0.41 (0.24-0.69) and for high group = 0.53 (0.34-0.84); cohort IV—nonsignificant nonlinear association for medium group = 0.97 (0.64—1.47) and for high group = 1.21 Dose response” No No Yes Yes, in older No in younger Yes, C! Yes, C | No, Cll No, Cll Yes, C Ill No, C IV Adjustment for confounders and other comments No association after statistical adjustment for risk factors Adjusted for sociodemographic factors, BMI, and dietary pattern Linear trend observed in men both with and without existing ischemic heart disease No association of physical activity to risk of stroke in older smokers Control for many confounding factors; nonlinear association in women only (cohorts Ill and IV); suggestion of threshold relationship (cohort III) Abbreviations: BMI = body mass index (wt [kg] /ht [m]? }; CVA = cerebrovascular accident; Cl = confidence interval; ICD = International Classification of Diseases (8 and 9 refer to editions); RR = relative risk. *A dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. 107 Physical Activity and Health Table 4-4. Population-based cohort studies of association of physical activity wit Study Paffenbarger, Thorne, Wing (1968) Paffenbarger et al. (1983) Blair et al. (1984) Stamler et al. (1989) Folsom et al. (1990) Paffenbarger et al. (1991) Population 7,685 men who attended the University of Pennsylvanta between 1931 and 1940 and who responded to a questionnaire in 1962 14,998 US male college alumni who entered college between 1916 and 1950; followed from 1962-1972 (for 6-10 years) 4,820 US men and 1,219 US women patients of a preventive medical clinic aged 20-65 years at baseline 201 US men and women with diastolic blood - pressure 85-89 mm Hg or 80-84 mm Hg (if overweight) were randomly assigned to control or nutritional/ hygienic intervention (including exercise) 41,837 lowa women aged 55-69 years; 2-year follow-up 5,463 male college alumni from the University of Pennsylvania Definition of physical activity Reported hours per week of participation in sports or exercise in college Physical activity index (kcal/week) estimated from reports of stairs climbed, city blocks walked, and sports played each week, assessed by mail-back questionnaire in 1962 or 1966 Maximal aerobic capacity estimated by exercise tests, categorized into “high” fitness (2 85th percentile) and “low” fitness Self-report of moderate physical activity Self-reported frequency of leisure-time physical activity from mail-back survey Self-report of physical activity from mail-back questionnaire in 1962 108 h hypertension Definition of hypertension Self-reported incidence of physician-diagnosed hypertension from mail- back health questionnaire (n = 671) Self-reported incidence of physician-diagnosed hypertension from mail- back health questionnaire (n = 681) Self-reported incidence of physician-diagnosed hypertension (n = 240) Initiation of hypertensive therapy or sustained elevation of diastolic blood pressure > 90 mm Hg Self-reported incidence of physician-diagnosed hypertension Self-reported incidence of physician-diagnosed hypertension from mail- back questionnaire in 1976 (n = 739) The Effects of Physical Activity on Health and Disease Dose Adjustment for confounders Main findings response’ and other comments Inverse association; respondents who NA Adjustments for age and follow-up reported participation in sports or exercise had little effect fewer than 5 hours per week had a significantly increased age- and interval- adjusted risk of physician-diagnosed hypertension (RR = 1.30, p < 0.01) Inverse association; alumni with Yes, Increased risk observed for less active alumni < 2,000 kcal/week of energy expenditure especially with stratification of student blood pressure, had RR of 1.30 (95% Cl, 1.09-1.55) in alumnus BMI, increase in BMI since college, of developing hypertension relative heavier and family history of hypertension to others men Patients in low fitness category were 1.52 NA Extensive control for confounding variables; times as likely (95% Cl, 1.08-2.15) to no sex-specific analyses develop hypertension as those in high fitness category Control group RR = 2.4 (90% Cl, 1.2-4.8) NA Intervention was combined nutritional, of developing hypertension when compared weight loss, and physical activity with the intervention group Inverse association; relative to women Yes Adjustment for BMI, waist-to-hip ratio, at low levels of physical activity, women cigarette smoking, and age eliminated at high and moderate levels had 30% and the association with physical activity 10% lower age-adjusted risks of developing hypertension (RR high = 0.70, 95% Cl, 0.6-0.9; RR moderate = 0.90, 95% Cl, 0.7-1.1) Vigorous sports play in 1962 was associated Yes Adjusted for age, BMI, weight gain with a 30% reduced risk of developing hypertension since college, and parental history of hypertension Abbreviations: BMI = body mass index (wt [kg] /ht [m]? ); Cl = confidence interval; RR = relative risk. ‘A dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. 109 Physical Activity and Health controlled trials of habitual activity and blood pres- sure were analyzed in a meta-analysis by Arroll and Beaglehole (1992), and nine randomized controlled trials of aerobic exercise using the lower extremities (e.g., walking, jogging, cycling) and blood pressure were analyzed in a meta-analysis by Kelley and McClellan (1994). The two meta-analyses indepen- dently concluded that aerobic exercise decreases both systolic and diastolic blood pressure by ap- proximately 6-7 mm Hg. Some of the studies were conducted with persons with defined hypertension (> 140/90 mm Hg), and others were conducted with persons with high normal blood pressure. Most of the studies tested aerobic training of 60-70 percent maximum oxygen uptake, 3-4 times/week, 30-60 minutes per session. Three trials have specifically examined the effect of different intensities of exercise on blood pressure. Hagberg et al. (1989) randomly assigned 33 hyper- tensive participants to a nonexercising control group and to two groups participating in different intensi- ties of exercise (53 percent and 73 percent of VO, max) for 9 months. Both exercise groups had compa- rable decreases in diastolic blood pressure (11-12 mm Hg), and the lower-intensity group had a greater decrease in systolic blood pressure than the higher- intensity group (20 mm Hg vs. 8 mm Hg). All the decreases were statistically significant when com- pared with the control group's blood pressure level, except the 8 mm Hg decrease in systolic blood pressure in the higher-intensity group. Matsusaki and colleagues (1992) randomly assigned 26 mildly hypertensive participants to two exercise intensities (50 percent VO, max and 75 percent VO, max) for 10 weeks. The pretest-to-posttest decreases in systolic and diastolic blood pressure in the lower-workload group were significant (9 mm Hg/6 mm Hg), but those in the higher-intensity group were not (3 mm Hg/5 mm Hg). Marceau and colleagues (1993) used a randomized crossover design to compare intensi- ties of 50 percent and 70 percent VO, max training on 24-hour ambulatory blood pressure in persons with hypertension. A similar reduction in 24-hour blood pressure was observed for both training intensities (5 mm Hg decrease), but diurnal patterns of reduc- tion were different. These trials provide some evidence that moderate- intensity activity may achieve a similar, or an even 110 greater, blood-pressure-lowering effect than vigorous-intensity activity. Because few studies have directly addressed the intensity question, however, the research base is not strong enough to draw a firm conclusion about the role of activity intensity in lowering blood pressure. It is not clear, for example, how the findings could have been affected by several issues, such as use of antihypertensive medications, changes in body weight, lack of direct intervention- control comparisons, dropout rates, and total caloric expenditure. Biologic Plausibility Multiple physiological mechanisms may contribute to the protective effects of physical activity against CVDs. Postulated mechanisms involve advantageous effects on atherosclerosis, plasma lipid/lipoprotein profile, blood pressure, availability of oxygenated blood for heart muscle needs (ischemia), blood clot- ting (thrombosis), and heart rhythm disturbances (arrhythmias) (Haskell 1995; Leon 1991a; Gordon and Scott 1991). Other effects of activity that may be associated with modifications of CVD risk include reduced incidence of obesity, healthier distribution of body fat, and reduced incidence of non-insulin- dependent diabetes. These other effects are dis- cussed in later sections of this chapter. Atherosclerosis Atherosclerosis begins when cholesterol is trans- ported from the blood into the artery wall by lipopro- teins, particularly LDL (Getz 1990; Yanowitz 1992). The formation of atherosclerotic plaques is increased at sites where the blood vessel lining is injured, which may occur in areas where blood flow is uneven (e.g., near the origin or branching of major vessels). An inflammatory reaction leads to the formation of atherosclerotic plaques in the wall of the artery. In animal studies, exercise has been seen to protect against the effects of excess cholesterol and other contributors to the development of athero- sclerosis (Kramsch et al. 1981). In addition, longi- tudinal studies of men with coronary artery disease have shown that endurance training, together witha cholesterol-lowering diet and interventions for other CVD risk factors, can help prevent the progression or reduce the severity of atherosclerosis in the coronary arteries (Ornish et al. 1990: Schuler et al. 1992; Hambrecht et al. 1993; Haskell et al. 1994). There is also an inverse relationship between cardiorespira- tory fitness and ultrasound-measured severity of atherosclerosis in neck arteries to the head (carotid arteries) (Rauramaa et al. 1995). Plasma Lipid/Lipoprotein Profile The relationships of physical activity to blood lipid and lipoprotein levels in men and women have been reviewed extensively (Leon 1991a; Krummel et al. The Effects of Physical Activity on Health and Disease 1993; Superko 1991; Durstine and Haskell 1994; | Stefanick and Wood 1994). Of more than 60 studies of men and women, about half found that exercise training is associated with an increase in HDL. HDL, a lipid scavenger, helps protect against atherosclero- sis by transporting cholesterol to the liver for elimi- nation in the bile (Tall 1990). Cross-sectional studies show a dose-response relationship between the amount of regular physical activity and plasma levels of HDL (Leon 1991c). In these studies, the HDL levels of endurance-trained male and female athletes were generally 20 to 30 percent higher than those of healthy, age-matched, sedentary persons. Moderate-intensity exercise training appears to be less likely to increase HDL levels in young to middle-aged women than men in the same age range (Leon 199la; Kummel et al. 1993; Durstine and Haskell 1994). Moderate-intensity exercise was seen to increase HDL as much as more vigorous exercise in one randomized controlled trial of women (Duncan, Gordon, Scott 1991). Studies have found that even a single episode of physical activity can result in an improved blood lipid profile that persists for several days (Tsopanakis et al. 1989: Durstine and Haskell 1994). Evidence also shows that exercise training increases lipopro- tein lipase activity, an enzyme that removes choles- terol and fatty acids from the blood (Stefanick and Wood 1994). Exercise training also reduces elevated levels of triglycerides (Leon 1991c; Durstine and Haskell 1994), another blood lipid associated with heart disease. ‘Blood Pressure The mechanisms by which physical activity low- ers blood pressure are complicated (Leon 199 1a; American College of Sports Medicine [ACSM] 111 1993; Fagard et al. 1990) and are mentioned only briefly here (see also Chapter 3). Blood pressure is directly proportional to cardiac output and total resistance in the peripheral blood vessels. An epi- sode of physical activity has the immediate and temporary effect of lowering blood pressure through dilating the peripheral blood vessels, and exercise training has the ongoing effect of lowering blood pressure by attenuating sympathetic nervous system activity (Leon 1991a; ACSM 1993; Fagard et al. 1990). The reduced sympathetic activity may reduce renin-angiotensin system activity, reset barorecep- tors, and promote arterial vasodilatation—all of which help control blood pressure. Improved insulin sensi- tivity and the associated reduction in circulating insulin levels may also contribute to blood pressure reduction by decreasing insulin-mediated sodium reabsorption by the kidney (Tipton 1984). Ischemia Clinical symptoms of atherosclerotic CHD occur when the heart muscle (myocardium) needs more oxygen than can be supplied from blood flowing through narrowed coronary arteries. This oxygen shortage leads to ischemia in the heart muscle—that is, to inadequate oxygenated blood for myocardial demand. Adaptations toa gradual reduction in blood flow may reduce the likelihood of myocardial is- chemia. For example, new blood vessels may develop from other coronary arteries to provide an auxiliary blood supply (Cohen 1985). A person with advanced atherosclerotic CHD may remain free of symptoms at test but may develop ischemic chest pain (angina pectoris) or electrocardiographic changes during physical exertion, which generally result from too high a myocardial oxygen demand for the blood supply available through partially occluded coronary arteries and collateral vessels (Smith and Leon 1992). Less commonly, angina pectoris may result from transient constriction (spasm) of a large coronary artery, generally at the site of an atherosclerotic plaque, or from spasm of small arterial vessels that have no evidence of plaque formation. A recent review has summarized adaptations in the coronary circulation that are induced by endur- ance exercise training and that can decrease the likelihood of ischemia (Laughlin 1994). Data ob- tained primarily from research on animals have Physical Activity and Health demonstrated that exercise leads toa greater capacity to increase coronary blood flow and an improved efficiency of oxygen exchange between blood in the capillaries and the heart muscle cells. These func- tional changes are the result of a remodeled vascular structure, improved control of blood flow dynamics, and promotion of biochemical pathways for oxygen transfer. The first and most consistent structural adapta- tion to exercise is an increase in the interior diameter of the major coronary arteries and an associated increase in maximal coronary blood flow (Leon and Bloor 1968, 1976; Scheuer 1982; Laughlin 1994). The second vascular adaptation is the formation of new myocardial blood vessels (capillaries and coro- nary arterioles) (Tomanek 1994, Leon and Bloor 1968). Animal studies also have shown that exercise training alters coronary vascular reactivity and thereby improves control of blood flow and distribu- tion (Overholser, Laughlin, Bhatte 1994: Underwood, Laughlin, Sturek 1994). This adaptation may reduce the incidence of spasms in the proximal coronary arteries and arterioles (Laughlin 1994). In addition, exercise training results in a reduced workload on the heart due to both an increase in compliance of the heart anda relative reduction in peripheral resistance; together, these reduce myocardial oxygen demand (Jorgensen et al. 1977). Thrombosis An acute coronary event is usually initiated by dis- ruption of an atherosclerotic plaque within an artery (Smith and Leon 1992), Platelet accumulation at the injury site initiates a cascade of processes leading to clot formation (thrombosis), which further reduces or completely obstructs coronary flow. A major obstruction of flow in a coronary artery may lead to the death of heart muscle (myocardial infarction) in the area served by that artery. These obstructions can, in addition, trigger potentially lethal: disturbances in the rhythm of the heart (cardiac arrhythmia). Thrombosis, usually occurring at the site of rupture or fissuring of an atherosclerotic plaque, is the precipitating event in the transition of silent or stable coronary artery disease to acute ischemic events, such as unstable angina, acute myocardial infarction, or sudden cardiac death, and in the occur- rence of ischemic stroke (Davies and Thomas 1985; 112 Falk 1985). Endurance training reduces thrombosis by enhancing the enzymatic breakdown of blood clots (fibrinolysis) and by decreasing platelet adhe- siveness and aggregation (which helps prevent clot formation) (Kramsch et al. 1981, Leon 1991b). Arrhythmia Although persons with coronary artery disease have an increased risk of ventricular fibrillation (a life- threatening heart rhythm disturbance) during acute physical activity, persons with a healthy cardiovas- cular system do notincur this elevated risk (Siscovick etal. 1984; Mittleman etal. 1993; Willich etal. 1993; Thompson and Mitchell 1984; Thompson, Funk, et al. 1982; Haskell 1995; Dawson, Leon, Taylor 1979). Exercise training may reduce the risk of ventricular fibrillation in healthy persons and in cardiac patients by improving myocardial oxygen supply and de- mand and by reducing sympathetic nervous system activity (Leon 1991c). Evidence from epidemiologic studies shows that a physically active lifestyle re- duces the risk of sudden cardiac death (Leon et al. 1987). A meta-analysis of studies that examined use of physical activity for cardiac rehabilitation showed that endurance exercise training reduced the overall risk of sudden cardiac death even among persons with advanced coronary atherosclerosis (O’Connor et al. 1989). Conclusions The epidemiologic literature supports an inverse association and a dose-response gradient between physical activity level or cardiorespiratory fitness and both CVD in general and CHD in particular. A smaller body of research supports similar findings for hypertension. The biological mechanisms for these effects are plausible and supported by a wealth of clinical and observational studies. It is unclear whether physical activity plays a protective role against stroke. Cancer Cancer, the second leading cause of death in the United States, accounts for about 25 percent of all deaths, and this percentage is increasing (NCHS 1996. American Cancer Society [ACS] 1996). The ACS has estimated that 1,359,150 new cases of cancer and 554,740 cancer-related deaths will occur among Americans during 1996 (ACS 1996). Physical inactivity has been examined as an etiologic factor for some cancers. Colorectal Cancer Colorectal cancer has been the most thoroughly investigated cancer in epidemiologic studies of physi- calactivity. To date, nearly 30 published studies have examined the association between physical activity and risk of developing colon cancer alone. Studies that combined colon and rectal cancers as a single endpoint—colorectal cancer—are only briefly reviewed here because current research, sum- marized in this section, suggests that the relation- ship between physical activity and risk of colon cancer may be different from that for rectal cancer. Among nine studies that have examined the relation- ship between physical activity and colorectal cancer, one reported an inverse relationship (Wu et al. 1987), and three reported positive associations that were not statistically significant (Garfinkel and Stellman 1988; Paffenbarger, Hyde, Wing 1987 [for analysis of two cohorts]). One (Kune, Kune, Watson 1990) reported no significant associations, and in the four other studies (Albanes, Blair, Taylor 1989; Ballard-Barbash et al. 1990; Markowitz et al. 1992; Peters et al. 1989), the associations lacked consis- tency in subpopulations within the study, anatomic subsites of the large bowel, or measures of physical activity. Colorectal adenomas are generally thought to be precursors to colorectal cancers. A single study of colorectal adenomatous polyps has reported an inverse relationship between risk of adenomas and level of total physical activity (Sandler, Pritchard, Bangdiwala 1995). Another study of colorectal ad- enomas also found an inverse association, but only for running or bicycling, and only with one of two different comparison groups (Little et al. 1993). Colon Cancer Of the 29 studies of colon cancer,-18 used job title as the only measure of physical activity and thus ad- dressed only occupational physical activity. These studies are a mix of mortality and incidence studies, and few have evaluated possible confounding by socioeconomic status, diet, and other possible risk factors for colon cancer. Nonetheless, findings from The Effects of Physical Activity on Health and Disease 113 these 18 studies have been remarkably consistent: 14 studies (Brownson et al. 1989; Brownson etal. 1991, Chow et al. 1993; Dosemeci et al. 1993; Fraser and Pearce 1993; Fredriksson, Bengtsson, Hardell 1989; Garabrant et al. 1984; Gerhardsson et al. 1986; Kato, Tominaga, Ikari 1990; Lynge and Thygesen 1988, Marti and Minder 1989; Peters et al. 1989; Venaetal. 1985; Vena et al. 1987) reported a statistically sig- nificant inverse relationship between estimated oc- cupational physical activity and risk of colon cancer. Four studies (Arbman et al. 1993; Vetter et al. 1992; Vlajinac, Jarebinski, Adanja 1987, Vineis, Ciccone, Magnino 1993) found no significant relationship between occupational physical activity and risk of colon cancer. The 18 studies were conducted in a variety of study populations in China, Denmark, Japan, New Zealand, Sweden, Switzerland, Turkey, and the United States. Eleven studies assessed the association be- tween leisure-time or total physical activity and colon cancer risk in 13 different study populations (Table 4-5). These studies either measured physical activity and tracked participants over time to ascer- tain colon cancer outcomes or compared recalled histories of physical activity among colon cancer patients with those among controls. In eight study populations, an inverse association was reported between physical activity and risk of colon cancer, and results were generally consistent for men and women. The three studies that examined the effect of physical activity during early adulthood (Polednak 1976; Paffenbarger, Hyde, Wing 1987; Marcus, Newcomb, Storer 1994) found no effect, which could indicate that the earlier activity did not affect risk of colon cancer later in life. In studies that used more than two categories of physical activity, 10 potential dose-response relationships between level of physi- cal activity or cardiorespiratory fitness and colon cancer risk were evaluated. Five of these showed a statistically significant inverse dose-response gradi- ent, one showed an inverse dose-response gradient that was not statistically significant, three showed no gradient, and one showed a positive relationship that was not statistically significant. Two studies of colon adenomas (Giovannucci et al. 1995; Kono et al. 1991) reported an inverse relationship between leisure-time physical activity and risk of colon adenomas. Physical Activity and Health Table 4-5. Epidemiologic studies of leisure-time or leisure-time plus occupational physical activity’ and colon cancer Definition of Definition of Study Population physical activity cancer Polednak Cohort of 8,393 former College athletic status; major, Colon cancer mortality (1976) US college men minor, and nonathlete (n = 107) Paffenbarger, Cohort of 51,977 male, — Sports play in college Colon cancer incidence Hyde, Wing 4,706 female former US (n = 201) (1987) college students Cohort of 16,936 male Physical activity index (kcal/week) — Colon cancer mortality US college alumni (n = 44) aged 35-74 years , Gerhardsson, Cohort of 16,477 Categories of occupational and Colon cancer incidence Floderus, Swedish men and leisure-time activity Norell women twins aged (1988) 43-82 years Slattery et al. Cohort of Utah men Occupational and leisure-time Colon cancer incidence (1988) (110 cases and activity were both assessed by 180 controls) and total energy expended women (119 cases and 204 controls) aged 40-79 years Severson et al. Cohort of 7,925 Physical activity index from Colon cancer incidence (1989) Japanese men Framingham study and heart rate (n = 172) aged 46-65 years Gerhardsson Swedish men (163 Categories of occupational and Colon cancer incidence et al. cases) and women leisure-time activity (1990) (189 cases) and 512 controls; all ages Whittemore et al. North American Time per day spent sleeping/ Colon cancer incidence (1990) Chinese men reclining, sitting, in light or (179 cases and 698 moderate activity, and in controls) and women vigorous activity (114 cases and 494 controls) aged > 20 years Asian Chinese men Time per day spent sleeping/ Colon cancer incidence (95 cases and 678 reclining, sitting, in light or controls) and women moderate activity, and in (78 cases and 618 vigorous activity controls) aged 20-79 years Lee, Cohort of 7,148 male Index of energy expenditure based Colon cancer incidence Paffenbarger, male US college alumni —_ on stair climbing, walking, and ‘Hsieh aged 30-79 years sports/recreation, assessed 2 times (1991) > 11 years apart 114 The Effects of Physical Activity on Health and Disease Main findings No differences in mortality Sports play > 5 hrs/week relative to < 5 hrs/week: RR = 0.91; p = 0.60 Risk increased with physical activity index: p for trend = 0.45 Least active relative to most active for work and leisure: RR = 3.6 (95% Cl, 1.3—9.8) High activity quartile relative to low activity quartile; men: OR total 0.70 (90% Cl, 0.38-1.29); women: OR total 0.48 (90% Cl, 0.27-0.87) High activity tertile relative to low activity tertile: RR 0.71 (95% Cl, 0.51-0.99); high heart rate relative to low: RR 1.37 (95% Cl, 0.97-1.93) Low activity relative to high: work and leisure, RR = 1.8 (95% Cl, 1.0-3.4) Sedentary relative to active: RR = 1.6 (95% Cl, 1.1-2.4) for men, RR = 2.0(95% Cl, 1.2-3.3) for women Sedentary relative to active: RR = 0.85 (95% Cl, 0.39-1.9) for men, RR = 2.5 (95% Cl, 1.0-6.3) for women Highly active relative to inactive: RR = 0.85 (90% Cl, 0.6-1.1); high lifetime activity: RR = 0.5 (90% Cl, 0.3-0.9) Dose responset No NA No NA Yes No Yes Yes NA NA No 115 Adjustment for confounders and other comments None Adjusted for age (2 levels of activity) Adjusted for age, BMI, and smoking Adjusted for age and sex (2 levels of a tivity); adjustments for possible confounders s.4i¢ to not change results Adjusted for age, BMI, dietary fiber, atw{ total energyintake; greater effect with intens:; activity; population-based Adjusted for age, BMI Adjusted for age, sex, BMI, dietary intl... of total energy, protein, fat, fiber, and browned meat surface; population-bas:.| Adjusted for age (2 levels of activity); population-based; adjustment for diet bid tittle effect on findings Adjusted for age (2 levels of activity); population-based; no effect of physic. activity after adjustment for diet Adjusted for age Physical Activity and Health Table 4-5. Continued Definition of Definition of Study Population physical activity cancer Marcus, Wisconsin women Total strenuous physical activity Colon cancer incidence Newcomb, aged up to 74 years, during ages 14-22 years Storer 536 cases and (1994) 2,315 controls Giovannucci et al. (1995) 47,723 US male health professionals aged 40-75 years Weekly recreational physical activity index based on 8 categories of moderate and Colon cancer incidence (n = 201) vigorous activities Longnecker et al. (1995) US men aged > 30 years, 163 cases 703 controls Dietary factors may confound or modify the association between physical activity and colon cancer risk (Willett et al. 1990). Five of the studies in Table 4-5 controlled for dietary components in analyses and continued to observe a significant inverse association (Gerhardsson, Floderus, Norell 1988; Slattery et al. 1988; Gerhardsson et al. 1990; Giovannucci et al. 1995; Longnecker et al. 1995), and in one study (Whittemore et al.1990), adjust- ment for dietary intakes altered findings in one study population but not in the other. Together, the research on occupational and leisure-time or total physical activity strongly sug- gests that physical activity has a protective effect against the risk of developing colon cancer. Rectal Cancer Many of the studies on physical activity and colon cancer risk also studied rectal cancer as a separate outcome. Of 13 studies that investigated occupa- tional physical activity alone, 10 reported no statis- tically significant association with rectal cancer risk (Garabrant et al. 1984, Vena et al. 1985, 1987, Gerhardsson etal. 1986; Jarebinski, Adanja, Vlajinac 1988; Lynge and Thygesen 1988, Brownson et al. 1991; Marti and Minder 1989; Peters et al. 1989, Dosemeci et al. 1993), two reported significant in- verse associations (Kato, Tominaga, Ikari 1990; Fraser and Pearce 1993), and one reported a significant Leisure-time vigorous physical activity 116 Right-sided colon cancer incidence direct association (i.e., increasing risk with increas- ing physical activity) (Arbman et al. 1993). Six of the studies that investigated the associa- tion between leisure-time or total physical activity and the risk of developing rectal cancer failed to find a significant association (Gerhardsson, Floderus, Norell 1988; Severson et al. 1989; Gerhardssonetal. 1990; Kune, Kune, Watson 1990; Lee, Paffenbarger, Hsieh 1991; Longnecker et al. 1995). Inanother study, Whittemore and colleagues (1990) observed a statistically significant inverse association in one study population and no effect in the other. Paffenbarger, Hyde, and Wing (1987) found an inverse relationship in one cohort and a direct relationship in the other. Taken together, study results on both occupa- tional and leisure-time or total physical activity suggest that risk of rectal cancer is unrelated to physical activity. Hormone-Dependent Cancers in Women Of the epidemiologic studies examining the relation- ship between physical activity and hormone- dependent cancers in women, 13 have investigated the risk associated with breast cancer, two with ovarian cancer, four with uterine corpus cancer (mostly endometrial), and one witha combination of cancers. It should be noted that studies of physical activity in women have been especially prone to misclassification problems because they did not The Effects of Physical Activity on Health and Disease Dose Adjustment for confounders Main findings responset _and other comments Any strenuous activity relative to none: No Adjusted for age, family history, screening RR = 1.0 (95% Cl, 0.8-1.3) sigmoidoscopy, BMI; population based Most active quintile compared with least Yes Adjusted for age, BMI, parental history of active quintile, RR = 0.53 (95% Cl, colorectal cancer, history of endoscopic 0.32-0.88) p for trend = 0.03 screening or polyp diagnosis, smoking, aspirin use, and diet Vigorous activity 2 2 hours/week relative Yes Adjusted for BMI, family history, income, to none: RR = 0.6 (95% Cl, 0.4—1.0) race, smoking, and intakes of alcohol, energy, fat, fiber, and calcium Abbreviations: BMI = body mass index (wt [kg} /ht [m]? ); Cl = confidence interval; OR = odds ratio; RR = relative risk. “Excludes studies where only occupational physical activity was measured. tA dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. include household work and child care in their assessment. Studies of leisure-time or total physical activity and hormone-dependent cancers in women are summarized in Table 4-6. Breast Cancer Four of the 13 breast cancer studies considered only occupational physical activity. Two of those studies described significant inverse associations (Vena et al. 1987; Zheng et al. 1993), and two others reported no significant association (Dosemeci et al. 1993, Pukkala etal. 1993). Only two (Dosemecietal. 1993, Pukkala et al. 1993) adjusted for socioeconomic status, and none gathered information about repro- ductive factors and thus could not control for those potential confounding variables. The epidemiologic studies of leisure-time or total physical activity and breast cancer risk have yielded inconsistent results (Table 4-6). Of these 10 studies, two reported a significant inverse associa- tion (Bernstein et al. 1994; Mittendorf et al. 1995), three reported an inverse association that was not statistically significant (Frisch et al. 1985,1987; Friedenreich and Rohan 1995), three reported no relationship (Paffenbarger, Hyde, Wing 1987; Albanes, Blair, Taylor 1989; Taioli, Barone, Wynder 1995). The other two reported a direct association, 117 although in one this did not reach statistical signifi- cance (Dorgan et al. 1994), and in the other it remained statistically significant (after adjustment for confounding) only for physical activity at age 30— 39 years (Sternfeld et al. 1993). Even among the studies that controlled for po- tential confounding by reproductive factors, find- ings were inconsistent (Bernstein et al. 1994; Dorgan et al. 1994: Sternfeld et al. 1993; Friedenreich and Rohan 1995; Mittendorf et al. 1995; Taioli, Barone, Wynder 1995). Results were inconsistent as well among studies that included primarily postmeno- pausal women (i.e., all but the study by Bernstein and colleagues [1994]). Nonetheless, it is possible that physical activ- ity during adolescence and young adulthood may protect against later development of breast cancer. Five of the studies cited here have examined this possibility. Among these five studies, two founda strong and statistically significant reduction in risk (Bernstein et al. 1994 [RR = 0.42]; Mittendorf et al. 1995 [RR = 0.5]), one found a nonsignificant reduction in risk (Frisch et al. 1985 [RR = 0.54]), and two found a null association (Paffenbarger, Hyde, Wing 1987; Taioli, Barone, Wynder 1995). These studies thus lend limited support to the hy- pothesis that physical activity during adolescence Physical Activity and Health Table 4-6. Epidemiologic studies of leisure and hormone-dependent cancers in women Study Breast cancer Frisch et al. (1985 and 1987) Paffenbarger, Hyde, Wing (1987) Albanes, Blair, Taylor (1989) Sternfeld et al. (1993) Bernstein et al. (1994) Dorgan et al. (1994) Friedenreich and Rohan (1995) Mittendorf et al. (1995) Taioli, Barone, Wynder (1995) Ovarian cancers Mink et al. (1996) Population Cohort of former US college athletes and nonathletes; 5,398 women aged 21-80 years Cohort of former US college students, 4,706 women NHANES cohort: 7,413 women aged 25-74 years, in US 254 cases and 201 controls in an HMO Women 2 40 years; 545 cases and 545 controls in California, US Framingham Study cohort: 2,307 women aged 35-68 years, Massachusetts, US Australian women aged 20-74 years; 451 cases and 451 controls (matched) US women aged 17-74 years; 6,888 cases and 9,539 controls All ages in US; 617 cases; 531 controls lowa Women’s Health Study; cohort of 31,396 postmeno- pausal women Definition of physical activity Athletic status during college Sports play during college One question on nonrecreational activity, one on recreational activity Age-specific recreational activity levels Participation in several leisure- time activities after menarche Physical activity index Recreational physical activity index Strenuous physical activity at ages 14-22 years Leisure-time physical activity at ages 15-22 years Categories of physical activity 118 -time or leisure-time plus occupational physical activity” Definition of cancer Breast cancer prevalence (n = 69) Breast cancer incidence and mortality Breast cancer incidence (n = 122) Breast cancer incidence Breast cancer incidence in situ and invasive Breast cancer incidence (n = 117) Breast cancer incidence Breast cancer incidence Breast cancer incidence Ovarian cancer incidence (n = 97) The Effects of Physical Activity on Health and Disease Main findings Nonathletes vs. athletes: RR = 1.86 (95%.Cl, 1.0-3.47) Sports play of > 5 relative to <5 hours/week RR = 0.96 (p value = 0.92) Sedentary relative to most active: RR = 1.1 (95% Cl, 0.6—2.0) for nonrecreational; RR = 1.0 (95% Cl, 0.6-1.6) for recreational For activity from age 30-39, high activity quartile vs. low activity quartile, postmeno- pausal OR = 2.3 (95% Cl, 1.03—5.04); pre- menopausal OR = 2.8 (95% Cl, 0.98-5.18) > 3.8 hours/week relative to 0 hours of leisure-time activity, RR = 0.42 (95% Cl, 0.27-0.64) High activity quartile relative to low activity quartile: RR = 1.6 (95% Cl, 0.9-2.9) > 4,000 kcal/week in physical activity relative to none: RR = 0.73 (95% Cl, 0.51-1.05) > daily strenuous activity relative to none: RR = 0.5 (95% Cl, 0.4—0.7) > 1,750 kcal/week relative to none: RR = 1.1 (95% Cl, 0.5-2.6) Most active relative to least active: RR = 1.97 (95% Cl, 1.22-3.19) Dose response NA NA No Yes (opposite direction) Yes Yes (opposite direction) Yes Yes No Yes (opposite direction) Adjustment for confounders and other comments Adjusted for age, family history of cancer, age at menarche, number of pregnancies, oral contraceptive use, smoking, use of estrogen, leanness Adjusted for age Adjusted for age; adjustment for confounders had little effect on results; suggestive of variable effects by menopausal status Adjusted for age, menopausal status, and potential confounders Adjusted for age, race, neighborhood, age at menarche, age at first full-term pregnancy, number of full-term pregnancies, oral contraceptive use, lactation, family history of breast cancer, Quetelet index; population-based Adjusted for age, menopausal status, age at first pregnancy, parity, education, occupation, and alcohol Adjusted for BMI and energy intake; effects observed for premenopausal and postmenopausal cancer and for light and vigorous activity; population-based Adjusted for age, parity, age at first birth, family history, BMI, prior breast disease, age at menopause, menopausal status, alcohol use, and menopausal status x BMI; population-based Adjusted for age, education, BMI, age at menarche, and prior pregnancy; hospital-based Adjusted for age, smoking, education, live births, hysterectomy, and family history 119 Physical Activity and Health Table 4-6. Continued Definition of hysical activity Definition of cancer Study Population p Endometrial cancers Levi et al. Switzerland/Northern (1993) Italy; 274 cases and 572 controls aged 31-75 Shu et al. Women in Shanghai, (1993) China aged 18-74 years, 268 cases and 268 controls Sturgeon et al. (1993) US women aged 20-74 years; 405 cases and 297 controls Combined set Frisch et al. (1985 and 1987) Cohort of former US college athletes and nonathletes; 5,398 women aged 21-80 years Categories of leisure-time and occupational activity Occupational and nonoccupa- tional physical activity index Recreational and nonrecreational activity categories Athletic status during college Endometrial cancer incidence Endometrial cancer incidence Endometrial cancer incidence Cervix, uterus, Ovary, vagina cancer prevalence (n = 37) and young adulthood may be protective against later development of breast cancer. Other Hormone-Dependent Cancers in Women Too little information is available to evaluate the possible effect of physical activity on risk of ovarian cancer. Zheng and colleagues (1993) found no sig- nificant associations between occupational physical activity and risk of ovarian cancer. On the other hand, data from the lowa Women’s Health Study showed that risk of ovarian cancer among women who were most active was twice the risk among sedentary women (Mink et al. 1996). Findings are limited for uterine corpus cancers as well. Zheng et al. (1993) found no relationship between physical activity and risk of cancer of the uterine corpus. Among the endometrial cancer stud- ies, one (Levi et al: 1993) found a decreased risk associated with nonoccupational activity, and one (Sturgeon et al. 1993) found combined recreational 120 and nonrecreational activity to be protective. An- other study (Shu et al. 1993) found no protective effect of nonoccupational activity in any age group anda possible protective effect of occupational activ- ity among younger women but not among older women. In Frisch and colleagues’ (1985) study of the combined prevalence of cancers of the ovary, uterus, cervix, and vagina, nonathletes were 2.5 times more likely than former college athletes to have these forms of cancer at follow-up. Because these cancers have different etiologies, however, the import of this finding is difficult to determine. Thus the data are either too limited or too inconsistent to firmly establish relationships be- tween physical activity and hormone-dependentcan- cers in women. The suggestive finding that physical activity in adolescence and early adulthood may protect against later development of breast cancer deserves further study. The Effects of Physical Activity on Health and Disease Dose ' Adjustment for confounders Main findings response and other comments Sedentary relative to active for total activity: Yes Adjusted for age, education, parity, RR = 2.4 (95% Cl, 1.0-5.8) to RR = 8.6 menopausal status, oral contraceptive use, (95% Cl, 3.0-25.3) for different ages estrogen replacement, BMI, and caloric intake; hospital-based Low average adult activity quartile relative No Adjusted for age, number of pregnancies, to high quartile: occupational age < 55 years BMI, and caloric intake; possible modification RR = 2.5 (95% Cl, 0.9-6.3), age > 55 years of occupational activity by age; RR = 0.6 (no Cl given); nonoccupational population-based RR = 0.8 (95% Cl, 0.5-1.3) Sustained (lifetime) activity, inactive No Adjusted for age, study area, education, parity, relative to active: recreational RR = 1.5 oral contraceptive use, hormone replacement (95% Cl, 0.7-3.2) nonrecreational RR = 1.6 use, cigarette smoking, BMI, and other type of (95% Cl, 0.7-3.3) activity; recent activity also protective; population-based Nonathletes vs. athletes: N/A Adjusted for age, family history of cancer, RR = 2.53 (95% Cl, 1.17-5.47) age at menarche, number of pregnancies, oral contraceptive use, smoking, use of estrogen, leanness Abbreviations: BMI = body mass index (wt {kg]/ht [ml? ); Cl = confidence interval; HMO = health maintenance organization; NHANES = National Health and Examination Survey; OR = odds ratio; RR = relative risk. “Excludes studies where only occupational physical activity was measured. +A dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. Cancers in Men Prostate Cancer Among epidemiologic studies of physical activity and cancer, prostate cancer is the second most com- monly studied, after colorectal cancer. Results of these studies are inconsistent. Seven studies have investigated the association between occupational physical activity and prostate cancer risk or mortal- ity. Two described significant inverse dose-response relationships (Vena et al. 1987; Brownson et al. 1991). Two showed a nonsignificant decreased risk with heavy occupational activity (Dosemeci et al. 1993; Thune and Lund 1994). In one publication that presented data from two cohorts, there was no effect in either (Paffenbarger, Hyde, Wing 1987). 121 The remaining study (Le Marchand, Kolonel, Yoshizawa 1991) reported inconsistent findings by age: increasing risk with increasing activity among men aged 70 years or older and no relationship among men younger than age 70. The 10 studies of leisure-time physical activity, or total physical activity, or cardiorespiratory fitness and risk of prostate cancer have also produced inconsistent results (Table 4-7). Two of the studies described significant inverse relationships (Lee, Paffenbarger, Hsieh 1992; Oliveria et al. 1996), although one of these (Lee, Paffenbarger, Hsieh 1992) observed this relationship only among men aged 70 years or older. Four studies found inverse relationships (Albanes, Blair, Taylor 1989; Severson et al. 1989; Yu, Harris, Wynder 1988; Thune and Physical Activity and Health Table 4-7. Epidemiologic studies of leisure- prostate cancer Study Physical activity Polednak (1976) Paffenbarger, Hyde, Wing (1987) Yu, Harris, Wynder (1988) Albanes, Blair, Taylor (1989) Severson et al. (1989) West et al. (1991) Lee, Paffenbarger, Hsieh (1992) Thune and Lund (1994) Population Cohort of 8,393 former US college men Cohort of 51,977 US male former college students 16,936 US male alumni aged 35-74 years US men, all ages, 1,162 cases and 3,124 controls NHANES cohort of 5,141 US men aged 25-74 years Cohort of 7,925 Japanese men in Hawaii aged 46-65 years Utah men aged 45-74 years, 358 cases and 679 controls Cohort of US college alumni, 17,719 men aged 30-79 years Cohort of Norwegian 43,685 men Cardiorespiratory Fitness Oliveria et al. (1996) Cohort of 12,975 Texas men aged 20-80 years Cohort of 7,570 Texas men time or total physical activity or cardi Definition of physical activity or cardiorespiratory fitness College athletic status, major, minor, and nonathletes Sports play Physical activity index Categories of leisure-time aerobic exercise Categories of recreational and nonrecreational activity Physical activity index from Framingham study and heart rate Categories of energy expended Physical activity index based on stair climbing, walking, playing sports Recreational and occupational activity based on questionnaire; categories of occupational and leisure-time activity Maximal exercise test Categories of weekly energy expenditure in leisure time 122 orespiratory fitness and Definition of cancer Prostate cancer incidence (n = 124) Prostate cancer incidence and mortality (n = 154 ) Prostate cancer mortality (n = 36)” . Prostate cancer incidence Prostate cancer incidence Prostate cancer incidence Prostate cancer incidence Prostate cancer incidence (n = 221) Prostate cancer incidence (n = 220) Prostate cancer incidence or mortality (n = 94) Prostate cancer incidence or mortality (n = 44) The Effects of Physical Activity on Health and Disease Main findings Major athletes relative to nonathietes, RR = 1.64 (p < 0.05) Sports play = 5 relative to < 5 hours/week, RR = 1.66; (p < 0.05) Comparing = 2,000 with < 500 kcal/week, RR = 0.57; p = 0.33 Most sedentary relative to most active menduring leisure time, RR = 1.3 (95% Cl, 1.0-1.6) for whites, RR = 1.4 (95% Cl, 0.8—2.6) for blacks Least active relative to most active individuals, RR = 1.3 (95% Cl, 0.7-2.4); for nonrecreational RR = 1.8 (95% Cl, 1.0-3.3); for recreational RR = 1.8 (95% Cl, 1.0-3.3) Most active relative to least active men, RR = 1.05 (95% Cl, 0.73-1.51); for occupation, RR = 0.77 (95% Cl, 0.58-1.01); high heart rate relative to low, RR = 0.97 (95% Cl, 0.69-1.36) Overall no association found Men aged 2 70 years: comparing > 4,000 with < 1,000 kcal/week; RR = 0.53 (95% Cl, 0.29-0.95); men aged < 70 years, RR = 1.21 (95% Cl, 0.8-0.18) Heavy occupational activity relative to sedentary, RR = 0.81 (95% Cl, 0.50-1.30); regular training in leisure time relative to sedentary, RR = 0.87 (95% Cl, 0.57—1.34) Among men < 60 years, most fit relative to least fit, RR = 0.26 (95% Cl, 0.10-0.63); - among men > 60 years, no effect, RR not given 2 3,000 kcal/week relative to < 1,000 kcal/week, RR = 0.37 (95% Cl, 0.14-0.98) Dose response’ No NA No Yes No Yes No NA No NA No Yes No No Adjustment for confounders and other comments None Adjusted for age (2 levels of activity) Adjusted for age, BMI, and smoking Adjusted for age; in multivariate analysis, findings no longer significant for whites; hospital based Adjusted for age; further adjustment for confounders said to not affect results Adjusted for age, BMI For agressive tumors, physical activity was associated with increased risk, but this was not statistically significant Adjusted for age; no effect of activity at 2,500 kcal, the level found protective for colon cancer Adjusted for age, BMI, and geographic region Adjusted for age, BMI, and smoking Adjusted for age, BMI, and smoking Adjusted for age, BMI, and smoking Abbreviations: BMI = body mass index (wt {kg|/ht [mj?); Cl = confidence interval; RR = relative risk. “A dose-response relationship requires more than 2 levels of comparison. In this column, “NA” means that there were only 2 levels of comparison; “No” means that there were more than 2 levels but no dose-response gradient was found; “Yes” means that there were more than 2 levels and a dose-response gradient was found. 123 Physical Activity and Health Lund 1994), but these were not statistically signifi- cant, and one of the four (Thune and Lund 1994) showed this relationship only for those aged 60 years or older. Two studies found that men who had been athletically active in college had significantly in- creased risks of later developing prostate cancer (Polednak 1976, Paffenbarger, Hyde, Wing 1987). One study found no overall association between physical activity and prostate cancer risk but found a higher risk (although not statistically significant) of more aggressive prostate cancer (Westetal. 1991). The two studies of the association of cardiorespi- ratory fitness with prostate cancer incidence were also inconsistent. Severson and colleagues (1989) found no association between resting pulse rate and subsequent risk of prostate cancer. Oliveria and col- leagues (1996) founda strong inverse dose-response relationship between fitness assessed by time on a treadmill and subsequent risk of prostate cancer. Thus the body of research conducted to date shows no consistent relationship between prostate cancer and physical activity. Testicular Cancer Two studies investigated physical activity and risk of developing testicular cancer, again, results are in- consistent. A case-control study in England found that men who spent at least 15 hours per week in recreational physical activity had approximately half the risk of sedentary men, anda significant trend was reported over six categories of total time spent exer- cising (United Kingdom Testicular Cancer Study Group 1994). A cohort study in Norway (Thune and Lund 1994) was limited by few cases. It showed no association between leisure-time physical activity and risk of testicular cancer, but heavy manual occupational activity was associated with an ap- proximately twofold increase in risk, although this result was notstatistically significant. Thus no mean- ingful conclusions about a relationship between physical activity and testicular cancer can be drawn. Other Site-Specific Cancers Few epidemiologic studies have examined the asso- ciation of physical activity with other site-specific cancers (Lee 1994). The totality of evidence provides little basis for a suggestion of a relationship. 124 Biologic Plausibility Because the data presented in this section demon- strate a clear association only between physical ac- tivity and colon cancer, the biologic plausibility of this relationship is the focus of this section. The alteration of local prostaglandin synthesis may serve as amechanism through which physical activity may confer protection against colon cancer (Shephard et al. 1991; Lee 1994, Cordain, Latin, Beanke 1986). Strenuous physical activity increases prostaglandin F, alpha, which strongly increases intestinal motil- ity, and may suppress prostaglandin E,, which re- duces intestinal motility and, released in greater quantities by colon tumor cells than normal cells, accelerates the rate of colon cell proliferation (Thor et al. 1985; Tutton and Barkla 1980). It has been hypothesized that physical activity decreases gas- trointestinal transit time, which in turn decreases the length of contact between the colon mucosa and potential carcinogens, cocarcinogens, or promoters contained in the fecal stream (Shephard 1993, Lee 1994). This hypothesis could partly explain why physical activity has been associated with reduced cancer risk in the colon but not in the rectum. Physical activity may shorten transit time within segments of the colon without affecting transit time in the rectum. Further, the rectum is only intermit- tently filled with fecal material before evacuation. Despite these hypothetical mechanisms, studies on the effects of physical activity on gastrointestinal transit time in humans have yielded inconsistent results (Shephard 1993, Lee 1994). Conclusions The relative consistency of findings in epidemio- logic studies indicates that physical activity is asso- ciated with a reduced risk of colon cancer, and biologically plausible mechanisms underlying this association have been described. The data consis- tently show no association between physical activ- ity and rectal cancer. Data regarding a relationship between physical activity and breast, endometrial, ovarian, prostate, and testicular cancers are too limited or too inconsistent to support any firm conclusions. The suggestion that physical activity in adolescence and early adulthood may protect against later development of breast cancer clearly deserves further study. Non-Insulin-Dependent Diabetes Mellitus Anestimated 8 million Americans (about 3 percent of the U.S. population) have been diagnosed with diabe- tes mellitus, and it is estimated that twice that many have diabetes but do not know it (Harris 1995). More than 169,000 deaths per year are attributed to diabetes as the underlying cause, making it the seventh leading cause of mortality in the United States (NCHS 1994). This figure, however, underestimates the actual death toll: in 1993, more than twice this number of deaths occurred among persons for whom diabetes was listed as a secondary diagnosis on the death certificate. Many of these deaths were the result of complications of diabetes, particularly CVDs, including CHD, stroke, peripheral vascular disease, and congestive heart fail- ure. Diabetes accounts for at least 10 percent of all acute hospital days and in 1992 accounted for an estimated $92 billion in direct and indirect medical costs (Rubin et al. 1993). In addition, by age 65 years, about 40 percent of the general population has im- paired glucose tolerance, which increases the risk of CVD (Harris et al. 1987). Diabetes is a heterogeneous group of metabolic disorders that have in common elevated blood glucose and associated metabolic derangements. Insulin- dependent diabetes mellitus (IDDM, or type I) is characterized by an absolute deficiency of circulat- ing insulin caused by destruction of pancreatic beta islet cells, thought to have occurred by an auto- immune process. Non-insulin-dependent diabetes mellitus (NIDDM, or type II) is characterized either by elevated insulin levels that are ineffective in normalizing blood glucose levels because of insulin resistance (decreased sensitivity to insulin), largely in skeletal muscle, or by impaired insulin secretion. More than 90 percent of persons with diabetes have NIDDM (Krall and Beaser 1989). Nonmodifiable biologic factors implicated in the etiology of NIDDM includea strong genetic influence and advanced age, but the development of insulin resistance, hyperinsulinemia, and glucose intoler- ance are related to a modifiable factor: weight gain in adults, particularly in those persons in whom fat accumulates around the waist, abdomen, and upper body and within the abdominal cavity (this is also called the android or central distribution pattern) (Harris et al. 1987). The Effects of Physical Activity on Health and Disease 125 Physical Activity and NIDDM Considerable evidence supports a relationship be- tween physical inactivity and NIDDM (Kriska, Blair, Pereira 1994; Zimmet 1992; King and Kriska 1992; Kriska and Bennett 1992). Early suggestions of a relationship emerged from the observation that soci- eties that had discontinued their traditional lifestyles (which presumably included large amounts of regu- lar physical activity) experienced major increases in the prevalence of NIDDM (West 1978). Additional evidence for the importance of lifestyle was provided by comparison studies demonstrating that groups of people who migrated to a more technologically ad- vanced environment had higher prevalences of NIDDM than their ethnic counterparts who remained in their native land (Hara et al. 1983; Kawate et al. 1979: Ravussin et al. 1994) and that rural dwellers had a lower prevalence of diabetes than their urban counterparts (Cruz-Vidal et al. 1979; Zimmet 1981, Taylor etal. 1983; King, Taylor, Zimmet, etal. 1984). Many cross-sectional studies have found physi- cal inactivity to be significantly associated with NIDDM (Taylor et al. 1983; Taylor et al. 1984; King, Taylor, Zimmet, et al. 1984, Dowse et al. 1991; Ramaiya et al. 1991; Kriska, Gregg, et al. 1993. Chen and Lowenstein 1986; Frish et al. 1986; Holbrook, Barrett-Connor, Wingard 1989). Cross-sectional studies that have examined the relationship between physical activity and glucose intolerance in persons without diabetes have generally found that after a meal, glucose levels (Lindgarde and Saltin 1981; Cederholm and Wibell 1985; Wang et al. 1989, Schranz et al. 1991; Dowse et al. 1991; Kriska, LaPorte, et al. 1993) and insulin values (Lindgarde and Saltin 1981; Wang et al. 1989; McKeigue et al. 1992: Feskens, Loeber, Kromhout 1994; Regensteiner et al. 1995) were significantly higher in less active than in more active persons. However, some cross- sectional studies did not find that physical inactivity was consistently associated with NIDDM in either the entire population or in all subgroups (King, Taylor, Zimmet, et al. 1984; Dowse et al. 1991; Kriska, Gregg, et al. 1993; Montoye et al. 1977; Taylor et al. 1983; Fisch et al. 1987; Jarrett, Shipley, Hunt 1986; Levitt et al. 1993; Harris 1991). For example, the Second National Health and Nutrition Examination Survey and the Hispanic Health and Nutrition Examination Survey found that higher