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American Journal of Epidemiology Advance Access originally published online on May 2, 2007
American Journal of Epidemiology 2007 165(12):1354-1355; doi:10.1093/aje/kwm087
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American Journal of Epidemiology Copyright © 2007 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

Response to Invited Commentary

Matthews et al. Respond to "A Challenge for Physical Activity Epidemiology"

Charles E. Matthews1, Adriana L. Jurj2, Xiao-ou Shu1, Yu-Tang Gao3 and Wei Zheng1

1 Department of Medicine, Division of General Internal Medicine and Public Health, Vanderbilt Epidemiology Center, Vanderbilt University Medical School, Nashville, TN
2 Department of Epidemiology and Biostatistics, Norman J. Arnold School of Public Health, University of South Carolina, Columbia, SC
3 Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People's Republic of China

Correspondence to Dr. Charles E. Matthews, Institute for Medicine and Public Health, Vanderbilt University Medical School, Sixth Floor (suite 600), 2525 West End Avenue, Nashville, TN 37203–1738 (e-mail: charles.matthews{at}vanderbilt.edu).

Received for publication February 5, 2007. Accepted for publication February 15, 2007.

We are pleased to respond to Sesso's insightful remarks entitled, "Invited Commentary: A Challenge for Physical Activity Epidemiology" (1), and agree completely on the need to systematically address lingering issues for physical activity epidemiology, that is, to identify the nonexercise activities that contribute to overall physical activity energy expenditure and to develop better methods to assess these behaviors in population-based studies.

Dr. Sesso's question, "Do nonexercise components of physical activity contribute meaningfully to total daily physical activity levels?" (1, p. 1352), and proposed scenario in which exercise was the predominant source of energy expenditure merit comment. In our population-based study (2), exercise was only a modest source of overall activity energy expenditure. Among women reporting no regular exercise, the proportional contributions to overall activity were as follows: walking for transportation (52 percent), housework (37 percent), stair climbing (7 percent), and cycling (5 percent). Among women reporting regular exercise, the following proportions were found: walking (45 percent), housework (34 percent), exercise (13 percent), stair climbing (6 percent), and cycling (3 percent). Clearly, the contribution of nonexercise activities was substantial. Others have reported physical activity energy expenditures for nonexercise activities that are much greater than the current level of moderate to vigorous activity recommended for disease prevention (3, 4), although it should be noted that the activity recommendations were conceived as an adjunct to some base level of nonexercise activity. These studies suggest that, for most adults, nonexercise activities contribute substantially to overall physical activity levels and, to the extent that activity energy expenditure influences disease risk, these behaviors should be evaluated for their potential health effects.

Dr. Sesso provided an excellent review of the methods currently available for the assessment of physical activity, and we would like to highlight some emerging methods that may further advance our understanding of the health benefits of overall physical activity levels. Objective measurement methods are now reasonably good (e.g., accelerometers), and they are getting better (5). New devices that capture more varied and finely grained activity data, coupled with methods to extract more information from the raw data signals, are on the horizon, particularly for one-piece monitors that are more easily administered in large studies (6, 7). However, while we are on the cusp of a great leap forward with these devices, the financial and logistic resources needed to implement objective measures for all participants in studies with the size and scope of large prospective cohorts are still formidable.

For this reason, self-report will remain the primary method for the assessment of activity behaviors in large cohort studies. The question then becomes, "How do we obtain the information we need to understand the health effects of nonexercise activities, while minimizing the impact of the errors we know to be substantial in self-reports?" One approach is to develop methods to deal with the errors on the "back end" by imbedding measurement substudies into the primary measurement protocol and then using these data to apply measurement error correction methods (8) to improve our estimates of the association. The new generation of objective monitors may contribute importantly to such efforts. Another approach would be to minimize certain errors on the "front end" through use of multiple short-term recalls to assess habitual activity patterns, akin to current methods being developed to estimate habitual dietary intake (9). We have found that 24-hour activity recalls provide useful information about sedentary and lower intensity nonexercise activities, and that they contain substantially less error than longer-term recalls (10). Development of cost-effective methods for acquiring multiple short-term recalls in large cohort studies may also yield important advances.

Although the differences in disease risk between sedentary and active nonexercise behaviors have been described for more than 50 years (11), there are a number of reasons to believe that we are now in a better position than ever to meet the current challenges for physical activity epidemiology.


    ACKNOWLEDGMENTS
 
Conflict of interest: none declared.


    References
 TOP
 References
 

  1. Sesso HD. Invited commentary: a challenge for physical activity epidemiology. Am J Epidemiol (2007) 165:1351–3.[Abstract/Free Full Text]
  2. Matthews CE, Jurj AL, Shu XO, et al. Influence of exercise, walking, cycling, and overall nonexercise physical activity on mortality in Chinese women. Am J Epidemiol (2007) 165:1343–50.[Abstract/Free Full Text]
  3. Levine JA, Lanningham-Foster LM, McCrady SK, et al. Interindividual variation in posture allocation: possible role in human obesity. Science (2005) 307:584–6.[Abstract/Free Full Text]
  4. Weller I, Corey P. The impact of excluding non-leisure energy expenditure on the relation between physical activity and mortality in women. Epidemiology (1998) 9:632–5.[CrossRef][Web of Science][Medline]
  5. Troiano RP. A timely meeting: objective measurement of physical activity. Med Sci Sports Exerc (2005) 37(suppl):S487–9.
  6. Crouter SE, Clowers KG, Bassett DR Jr. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol (2006) 100:1324–31.[Abstract/Free Full Text]
  7. Pober DM, Staudenmayer J, Raphael C, et al. Development of novel techniques to classify physical activity mode using accelerometers. Med Sci Sports Exerc (2006) 38:1626–34.
  8. Spiegelman D, Zhao B, Kim J, et al. Correlated errors in biased surrogates: study designs and methods for measurement error correction. Stat Med (2005) 24:1657–82.[CrossRef][Web of Science][Medline]
  9. Dodd KW, Guenther PM, Freedman LS, et al. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. J Am Diet Assoc (2006) 106:1640–50.[CrossRef][Web of Science][Medline]
  10. Adams SA, Matthews CE, Moore CG, et al. The effect of social desirability and social approval on self-reports of physical activity. Am J Epidemiol (2005) 161:389–98.[Abstract/Free Full Text]
  11. Morris JN, Heady JA, Raffle PA, et al. Coronary heart-disease and physical activity of work. Lancet (1953) 265:1111–20.[Web of Science][Medline]

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Related articles in Am. J. Epidemiol.:

Influence of Exercise, Walking, Cycling, and Overall Nonexercise Physical Activity on Mortality in Chinese Women
Charles E. Matthews, Adriana L. Jurj, Xiao-ou Shu, Hong-Lan Li, Gong Yang, Qi Li, Yu-Tang Gao, and Wei Zheng
Am. J. Epidemiol. 2007 165: 1343-1350. [Abstract] [FREE Full Text]  



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I. Csizmadi, P. J. Robson, and H. K. Neilson
RE: "INFLUENCE OF EXERCISE, WALKING, CYCLING, AND OVERALL NONEXERCISE PHYSICAL ACTIVITY ON MORTALITY IN CHINESE WOMEN"
Am. J. Epidemiol., December 1, 2007; 166(11): 1355 - 1356.
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