Key points are not available for this paper at this time.
“To get back my youth I would do anything in the world, except take exercise… . ” Oscar Wilde The Picture of Dorian Gray, Chapter 19 IN THIS ISSUE of the Journal, Petit et al.1 report the structural changes accompanying exercise during growth.1 During 7 months, 43 pre- and 43 early-pubertal girls, mean age 10-10.5 years, were exercised for 10 minutes three times weekly using a jumping program of gradually increasing intensity. Changes in these two intervention groups were compared with changes in 25 pre- and 63 early-pubertal controls matched by age, sitting height, leg length, and lean and fat mass from a different school. Structural changes occurred in all groups. However, in the prepubertal group (Tanner stage 1), the changes in the intervention group were no greater than in controls. In the early pubertal group (Tanner stages 2 and 3), the changes in femoral neck bone cross-sectional area (CSA), cortical thickness, and section modulus (a measure of bending and torsional strength) in the intervention group were greater than in controls. The study raises many issues regarding the rationale, hypothesis, design, execution, analysis, and interpretation of clinical trials of exercise during growth. About 30-50% of women and 15-20% of men will suffer the consequences of fractures related to osteoporosis.2 Drugs reduce fracture risk by about 40-50% in the subgroup of women at highest risk, that is, women with osteoporosis.3 However, at least 50-75% of all fractures in the community come from the larger segment of the population at mild or moderate risk due to modest deficits in areal bone mineral density (aBMD) or younger age.4 This distribution of event rates is well recognized in the cardiovascular field but underemphasized and poorly appreciated in the field of bone metabolism because of our obsession with fracture “thresholds.” Although persons with aBMD reduced by more than 2.5 SD below the young normal mean are at highest risk, this represents only a small proportion of the whole population, most of whom have aBMD above −2.5 SD. Thus, the population burden of fractures and events like stroke or myocardial infarction come from the larger population, not from the tail end of the population distribution containing the high risk group but smaller numbers of individuals.5 The public health burden of fractures cannot be solved with drugs, because drug trials have been done largely in women at highest fracture risk due to osteoporosis—those women with aBMD in the tail end of the population distribution (aBMD < −2.5 SD below the young normal mean). The risk of events such as fractures, strokes, and myocardial infarction is low in the larger segment of the population; to prevent one morbid event, large numbers need to be exposed to the costs of medical care, inconveniences, and side effects of drug therapy at no benefit whatsoever. The cost of treatment using this approach is greater than the cost of fractures.6 We can reduce fracture risk in the subgroup of high risk individuals (case-finding), but they contribute only 25-50% of all fractures in the population. The solution to the public health burden of fractures remains an enigma, particularly as more and more of us are living longer to enjoy the fruits of old age. Thus, nondrug related interventions are needed to reduce the population burden of fractures. For these population-based approaches to be successful, several criteria must be fulfilled. The interventions must be efficacious, safe, accessible to all, easily carried out, and inexpensive to implement. If it were possible to move the population distribution of the structural determinants of bone strength just a few percentage points using an intervention applied to the whole population, there is likely to be a profound benefit on the population burden of fractures.5 Of all the modifiable lifestyle factors that influence the skeleton, such as nutrition, tobacco use, and exercise, it is exercise during growth that has the potential to fulfill all these criteria and therefore could reduce the public health burden of fractures. The answer to this question is unknown. Inferences regarding the anti-fracture efficacy of exercise will never be based on the highest level of experimental evidence. There will obviously never be a double-blind trial of exercise. There will almost certainly never be a randomized open trial of exercise during growth or aging with fragility fractures in old age as an endpoint; the sample sizes needed to show a biologically worthwhile fracture risk reduction are similar to those needed in industry funded drug trials. Issues of design, compliance and funding almost certainly make these trials too difficult to execute successfully. The firm belief held by many that exercise reduces fracture risk is derived from lower levels of evidence—retrospective and prospective observational cohort and case-control studies that suggest active persons have fewer fractures than less active persons.7-9 This inference may be correct, but these studies are subject to systematic healthy user bias and should be evaluated with skepticism and interpreted cautiously.7 Healthier individuals may choose to be more active and are less prone to falls and fractures. Persons inheriting a larger musculo-skeletal size have higher bone mass and lower fracture risk before starting exercise. The exercise may be a consequence of the larger musculo-skeletal mass rather than the larger musculo-skeletal mass being a consequence of the exercise. There is no strength in numbers. Meta-analyses of observational studies examining efficacy should not even be under taken, much less interpreted. At very best, they are hypothesis generating, not hypothesis testing. Recall the iconoclastic impact of the first randomized double-blind trial examining the effect of hormone replacement therapy (HRT) on cardiac events, and the more recently reported negative results concerning cerebrovascular morbidity and mortality using HRT.10, 11 One or two properly conducted studies shatter the dogma created by meta-analysis after meta-analysis of observational studies that claim HRT reduces cardiovascular events. Thus, we are forced to make inferences within the constraints of the uncertainty imposed by even lower levels of evidence—the effect of exercise on surrogates of anti-fracture efficacy such as changes in bone mass, structure and derived measures of bone strength. These endpoints also have limitations that should be acknowledged. For example, a change in aBMD in response to drug therapy is a poor surrogate of the reduction in fracture risk.12 What then are the effects of exercise on the surrogates of anti-fracture efficacy? There is little replicated and methodologically sound evidence to suggest that exercise during young adulthood, peri-menopause, late adulthood, or old age modifies bone size, prevents bone loss, or restores bone mass, architecture, or strength. Consistency in results is lacking; some studies suggest bone loss is prevented by exercise and others suggest bone loss is not prevented or is increased.7-9, 13 The increase in aBMD of a few percentage points reported in some studies is probably due to a reduction in the size of the reversible remodeling space.14 There is little, if any, evidence of changes in bone tissue mass beyond that produced by reducing the remodeling space. There is no evidence that exercise in adults increases cortical thickness by increasing periosteal apposition, reducing endocortical resorption, or increasing endocortical bone formation. Whether exercise reduces intracortical porosity, increases trabecular thickness, connectivity or the mineral content of the matrix tissue mass (regrettably called “true” density), is not known. When exercise is stopped, bone loss accelerates,15 probably due to an increase in the size of the reversible remodeling space. Exercise during adulthood may reduce the risk and severity of falls, but evidence that this translates into fewer fractures is lacking.7 It is during growth that exercise produces its most beneficial effects. Growth is the single most opportune time to modify the mass and geometry of the skeleton.16-24 The studies of vigorous exercise during growth provide evidence that large increments in aBMD can be achieved in loaded compared with unloaded regions of the skeleton. High impact loading in gymnastics, weight lifting, and racket sports is associated with high regional aBMD. Differences of 1-3 SD are often reported in the playing arm compared with nonplaying arm in racket sports, increments that are an order of magnitude higher than produced by exercise in adults. These changes are the result of distinct structural changes in bone mass, size, and geometry, not just small changes in the remodeling space. The region specific in playing nonplaying arm cannot be the result of bias or factors that this one of the few in the bone field that is not loading exercise during growth is for of this is The study bone mass and structure of the playing and nonplaying of racket sports about The results have never been on and have been replicated several The to loading during growth by its size, architecture, and These changes are likely to biologically worthwhile in the and torsional strength of bone that may well be the solution to the of fractures in old age, the changes can be during the or of There are issues in study that need to be before the greater changes reported in an exercise compared with a group can be to be the result of the group in exercise than being due to group in many Petit et al.1 an intervention group of prepubertal and early pubertal matched with a group by age, pubertal sitting height, leg length, and lean and fat The are to be for this to These may influence the of the exercise. small in in an exercise and even 2 to in age or pubertal can large If controls are more in and are about to move into an of then benefit of exercise in the less will be by the growth in controls. 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We need studies that are in a single and single with pubertal bone age. We need that measure bone size and its and bone If the is the studies will be to and the or will be to and difficult to on When can do we will not need clinical trials. we need study rather than that by in small sample sizes to the with the to us by a in a
Ego Seeman (Fri,) studied this question.