A total of 51 studies were identified that met the above inclusion criteria. Of these, 28 were RCT. The studies are classified in Tables 1–3 by the participants’ pretraining mean body mass index (BMI) levels, a format previously used by Stefanick (67). The BMI cutoff points of <25.0 kg·m-2 in Table 1, 25.0–29.9 kg·m-2 in Table 2, and ≥ 30 kg·m- 2 in Table 3 are consistent with recent NHLBI Expert Panel recommendations for classifying people as normal weight, overweight, or obese, respectively (49). Studies cited are listed in chronological order and include the following information: number of subjects completing the studies, and their sex, age, and race/ethnicity if other than white; classification of baseline blood cholesterol and LDL-C levels on the basis of on NCEP guidelines (47); and any special health-related characteristics such as whether there was a nonexercise control group; details on the exercise training program, i.e., type(s) of exercise, length of the program, the peak intensity, frequency, and duration of exercise sessions, length of training, and an estimate of the weekly volume of energy expenditure, obtained either directly from published information, or more frequently calculated from the type of activity and the exercise prescription using the Ainsworth et al. (1) compendium of energy cost of specific activities and other interventions. Posttraining outcomes, in addition to whether there were any significant changes in TC, LDL-C, HDL-C, and TG, included changes in body weight and relative improvement in O2max. Improvement in O2max (mL·min- 1) was classified as low (<10%), moderate (11–19%), or high (≥20%). Exercise-induced change in body weight and blood lipids were compared by two-tailed t-tests for statistical significance with either the changes with training in the control group in the RCT or with baseline levels in uncontrolled studies.
We also attempted to identify from the study reports factors related to the study design, which may have affected blood lipid findings. These potential confounding variables included stability of diet and physical activity outside the study; hormonal status of women participants; the timing of the posttraining blood specimens for lipid assays relative to the last training session; and whether adjustments were made for possible plasma volume changes with training. The timing of blood samples relative to the last exercise session is relevant, since research has shown that a single prolonged exercise session may result in plasma volume alterations and acute metabolic responses, which can persist for up to 48 h after exercise (8,13,43,54,69). Reported lipid responses to acute endurance exercise include an increase in plasma HDL-C and a reduction in TG levels.
The strength of linear associations between percent change in the blood lipid/lipoprotein parameters and baseline and posttraining variables was made by Pearson product-moment correlation coefficients with statistical significance established at P < 0.05. Stepwise, multiple linear regression analyses also were performed to determine the percentage of the variability in blood lipid response to training that could be explained by baseline and posttraining variables.
The 51 studies uncovered in this literature search, of which 28 were randomized RCT, are summarized in Tables 1–3 on the basis of the participants’ baseline mean BMI categories. There were approximately 4700 participants (about 60% men), ranging in age from 18 to 80 yr (mean, 46.6 ± 0.35 yr), who successfully completed these studies. Study participants were predominately white, with only two studies including a sizable number of black subjects (35,44) and only two Asian subjects (46,72). On the basis of NCEP criteria (47), pretraining TC levels were classified as “elevated” in only nine of these studies (8,21,25,37,44,55,60,72,85), and in the remainder they were classified as either “normal” or “borderline high.” Overall mean baseline lipid levels across studies were as follows: TC, 5.29 ± 0.85 mmol·L-1 (204.5 ± 33.9 mg·dL-1); LDL-C, 3.53 ± 0.58 mmol·L-1 (136.5 ± 22.5 mg·dL-1); HDL-C, 1.18 ± 0.24 mmol·L-1 (45.6 ± 9.3 mg·dL-1); and TG, 1.41 ± 0.31 mmol·L-1 (125.0 ± 27.8 mg·dL-1).
In almost all studies, exercise training was performed at a moderate to hard intensity, three to five times per week for 30 min or more per session, consistent with current ACSM guidelines for improving cardiorespiratory endurance in healthy adults (2). Only a limited number of studies directly compared the effects of more than one intensity of exercise on the blood lipid profile (8,11,31,49,70,74,85). The estimated weekly energy expenditure during structured exercise programs ranged from 2,090 kJ·wk-1 to >20,000 kJ·wk-1 (500 to >5,000 kcal·wk-1), with a mean of 5,894.4 ± 3,450.5 kJ·wk-1 (1,408.8 ± 8,24.7 kcal·wk-1) per study. None of the reported studies compared the effects of different volumes of exercise on blood lipids. Theduration of exercise training ranged from 12 wk to 2 yr. Training generally resulted in significant improvements in O2max ranging from <3% to over 50%, with the mean increase across studies of 15.7%.
There was a considerable variability in body weight changes during training depending on whether there were concomitant dietary interventions. In a total of about 2200 subjects from 61 study groups in which there were no concomitant dietary changes, the change in body mass ranged from none to 7.2 kg, with a mean (± SD) change of −0.82 ± 1.38 kg. In contrast, in 15 studies involving overweight or obese subjects in which there were concomitant dietary interventions, the observed weight loss ranged from 7.2 to 17.9 kg.
A marked inconsistency in the response of blood lipids and lipoproteins to endurance exercise training was observed in all three weight categories. The most commonly observed lipid change was a significant (P < 0.05) increase in HDL-C. This was observed in men and women of all ages in 24 of the 51 studies (47%), including 20 studies without simultaneous dietary manipulations. In training groups (N = 61 involving about 2200 subjects) in which diet was held constant, the exercise-induced change in HDL-C ranged from a decrease of 5.8% to an increase of about 25%, with a mean increase of 4.6% across these studies (P < 0.05). Increases in HDL-C with training is reported to primarily involve the HDL2 fraction and to be generally associated with an increase in lipoprotein lipase activity (13,43). Significant reductions in HDL-C levels were observed in two of the training studies reviewed involving overweight or obese participants in which there was a concomitant reduction in fat intake via a NCEP diet (21,37). It has been well documented by feeding experiments that a reduced saturated fat intake in addition to reducing targeted LDL-C also is likely to reduce HDL-C (and raise TG) levels in both black and white subjects (16,24). Observational studies also have shown that populations consuming low-fat diets have both low HDL-C and LDL-C; however, they also invariably have low CHD rates (35). Furthermore, it appears from this review that aerobic exercise training negates or attenuates this dietary-induced reduction in HDL-C, particularly if there is an associated substantial weight loss, i.e., ≥ 4 kg (25,68,85).
Significant reductions in LDL-C, TG, and TC with exercise training were observed less frequently than an increase in HDL-C. Exercise training in the absence of simultaneous dietary interventions resulted in mean reductions in TG, LDL-C, and TC of about 3.7% (P < 0.05), 5.0% (P < 0.05), and 1.0% (P = NS), respectively, across studies. Men generally had a greater reduction in TG levels than the women participants. Concurrent reductions in dietary fat intake and/or a hypocaloric diet potentiated the reduction in these three lipid parameters;however, as previously mentioned, a concomitant reduction in fat intake also reduced HDL-C levels, with the reduction being partially attenuated by simultaneous exercise training and/or weight reduction. Thus, this review confirms the observations of previous reviewers of a marked inconsistency in blood lipid changes with endurance exercise training with an increase in HDL-C noted in only about half of the reported studies. A great deal of heterogeneity in the response to the same training stimulus also has been observed within studies. For example, in the HERITAGE Family Study (43) summarized in Table 2, 20 wk of a standardized and supervised exercise program in a large heterogeneous population resulted in a mean increase is HDL-C of 3.6%; however, further analyses showed that the change ranged from a reduction in HDL-C from baseline levels of 0.11 mmol·L-1 (4.2 mg·dL-1) or 9.3% in Quartile 1 to an increase of 0.18 mmol·L-1 (6.9 mg·dL-1) or 18% in Quartile 4 (Leon et al., unpublished data). This heterogeneity in response was similar for both sexes, blacks and whites, and offspring and parents.
A myriad of potential confounding variables, undoubtedly contributing to this variability in responsiveness of blood lipids to exercise training, are summarized in Table 4. Space limitations prohibit a detailed discussion of how these potential confounding variables may have influenced the outcomes of the studies summarized in this report. However, it should be pointed out that genetic variations are most likely important contributors to this variability. For example, in the HERITAGE Family Study, heritability was found to be a relatively strong contributor to both baseline blood lipids (9) and their responsiveness to exercise training (Rice et al., unpublished data). In addition, methodological flaws were noted in many of the studies surveyed in this report. These include absence of a control group to detect possible laboratory drift andseasonal fluctuations in blood lipid levels; only single blood specimens being obtained before and after training with the timing of the posttraining specimen often ≤ 24 h after the last exercise sessions (and therefore perhaps reflecting lipid changes caused by acute plasma volume or metabolic changes) and over half of the listed studies not even reporting the timing of the posttraining specimen(s); failure to consider the phase of the menstrual cycle in drawing blood before and after training in all but a limited number of the studies involving eumenorrheic women (43,55,59); failure to adjust for possible exercise-induced plasma volume changes in most studies; and possible inadequate control in dietary habits, alcohol intake, smoking, and levels of routine daily physical activity levels during the exercise training phase. The importance of monitoring physical activity aside from the exercise program is illustrated in a study in Table 2 by Leon et al. (40) designed to provide 2000 kcal·wk-1 (8370 kJ·wk-1) of aerobic exercise. Repeated leisure-time physical activity (LTPA) questionnaires revealed that the participants had substantially reduced their usual LTPA during the exercise program, which probably contributed to the failure to achieve a lipid response.
Does the available evidence support the hypothesis that endurance exercise training has a favorable influence on the blood lipid profile relative to future risk of CHD? Although there is a great deal of inconsistency in the response of blood lipids to endurance exercise training in both RCT and non-RCT, the bulk of the evidence supports this hypothesis. The most frequently observed change is an increase in HDL-C, a protective factor against CHD (Evidence Category B). It is estimated that for every 0.026 mmol·L-1 (1 mg·dL-1) increase in HDL-C, the risk for a CHD event is reduced by 2% in men and at least 3% in women (51,52). Reduction in TC, LDL-C, and TG also may occur with training (Category B). In general, a 1% reduction in LDL-C is associated with a 2–3% lower risk of CHD (47). Exercise training also appears to attenuate the reduction in HDL-C accompanying a decreased dietary intake of saturated fat and cholesterol to promote reduction of LDL-C.
Does the blood lipid response to trainingdiffer by sex, age, race/ethnicity of study subjects, and baseline lipid levels, and baseline body weight and its change with training? Earlier reviewers noted a trend for a lower prevalence of training-induced increase in HDL-C levels in women (13,17,38,69). However, the data reviewed here suggest that sex is not a predictor of responsiveness of HDL-C to training, with adult men and women appearing to respond similarly (Category B). Age also does not appear to be a predictor of lipid responsiveness to exercise training, with elderly men and women as likely, or perhaps even more likely, than younger individuals to increase HDL-C with training (Category B). Only limited data are available on racial and ethnic differences in the response of lipids to exercise training. In the largest supervised exercise training study to date, the HERITAGE Family Study, there were no significant sex, age, or black/white differences in the extent (and variability) of the HDL-C response to training (43). Baseline body weight was found in this review to be inversely related to change in TG (but not to the other lipid variables under consideration). Studies in which a sizable weight loss was obtained while holding the percent of energy intake constant generally had a favorable effect on the entire lipid/lipoprotein profile (Category A); however, a concomitant reduction in percent energy from fat clearly reduces the HDL-C response to exercise. Only a limited number of studies have been performed on people with hypercholesterolemia and/or hypertriglyceridemia. On the basis of this review, baseline lipid levels appear to strongly influence the lipid response to training. A low pretraining HDL-C was shown to be a moderately strong predictor of a positive HDL-C response to training, whereas baseline LDL-C was inversely associated with posttraining change in TC (Category B).
Is the response of blood lipids to exercise related to the intensity, duration, the weekly volume of energy expenditure; the length of the endurance exercise program; and the associated change in O2max? There currently are insufficient data from available training studies to conclusively establish a dose-response relationship between intensity and volume of exercise and lipid responses, suggested by observational studies (13,38,81). There have been only a limited number of studies directly evaluating the effects of different exercise intensities on blood lipids. Most of the studies reviewed here showing HDL-C changes used an exercise prescription involving moderate- to hard-intensity activities for at least 30 min, three times per week can raise HDL-C (Category B evidence for moderate- to hard-intensity exercise). There is limited evidence of additional benefits from higher intensity exercise (Category C). There also is limited evidence that lower intensity (light-intensity) exercise may be as effective as moderate-intensity exercise in raising HDL-C (Category C). No differences were found between HDL-C responders and nonresponders to training in the duration of exercise sessions and weekly volume of exercise performed. This probably was because the weekly volume of exercise used in most of the studies in this survey (a mean of about 6276 kJ (1500 kcal) for men and 5044 kg (1205 kcal) for women) probably exceeded the threshold required to increase HDL-C. In addition, no association was found between length of the training program (>12 wk) and HDL-C response (Category B). It also appears from the studies in Tables 1–3 that prescribed nonstructured or so-called lifestyle activities have little or no impact on the blood lipid profile (Category B). In most of the studies reported here, training resulted in at least a moderate increase in O2max, as would be expected, since investigators generally followed ACSM exercise prescription guidelines for improving O2max. However, no significant correlation was found between the increase in O2max and change in HDL-C with training (Category A).
There remain many unanswered questions pertaining to the impact of exercise on blood lipids and lipoprotein that require future studies. Subjects for future investigations should include ethnic minorities and people of all ages with dyslipidemia, including those with isolated low HDL-C levels, since there is currently a paucity of data from such populations. Recommended study topics should include:
Thanks are expressed to Marilyn Borkon for preparation of this manuscript and to our graduate assistant, Sara Forbord, for help with data analysis and entry.
Dr. Arthur Leon is supported in part by the Henry L. Taylor Professorship in Exercise Science and Health Enhancement, The National Heart, Lung and Blood Institutes grant No. HL 47323, the American Heart Association (grant No. 9970017N), and by multiple pharmaceutical company research grants to the Heart Disease Prevention Clinic. Dr. Otto Sanchez is partially supported by Universidad de Oriente, Escuela de Medicina, Dpto de Ciencias Fisiologicas, Cd Bolivar, Edo Bolivar, Venezuela.
Address for correspondence: Arthur S. Leon, M.D., H.L. Taylor Professor, 202 Cooke Hall, Division of Kinesiology, University of Minnesota, 1900 University Avenue SE, Minneapolis, MN 55455; E-Mail: email@example.com.
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