testing the activitystat hypothesis: authors' response

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Preventive Medicine 54 (2012) 178–179

Contents lists available at SciVerse ScienceDirect

Preventive Medicine

j ourna l homepage: www.e lsev ie r .com/ locate /ypmed

Letter to the Editor

Testing the activitystat hypothesis: Authors' response

Keywords:Activitystat

ChildrenPhysical activity

The activity hypothesis states that children compensate forhighly active periods by being less active at other times because ofthe homeostatic regulation of total energy expenditure by an ‘activi-tystat’ in children's central nervous system. We agree with Wilkinand Metcalf (2012) that this hypothesis is important, should be test-ed rigorously, and is best evaluated ‘following perturbation’: as ourpaper states “confirmation in intervention studies is required”. Atpresent, however, we feel our research contributes to a literature inwhich definitive experimental evidence is lacking. For example,Wilkin and Metcalf cite two primary research papers in support ofthe activitystat hypothesis. The first observational study sampled206 children from an out-of-town private preparatory school, avillage state primary school and an inner-city primary school(Fremeaux et al., 2011). Children in the private school were morephysically active within school but no different from the other twoschools overall. This is certainly consistent with the activitystathypothesis, but interpretation is arguably complicated by otherdifferences between the schools (e.g. in location, socio-economicprivilege, day-school vs. partially boarding school). The second in-tervention study evaluates a school-based physical activity (PA) pro-gramme (Kriemler et al., 2010). This reported a significant positivedifference between intervention and control groups in meanschool-time PA counts/minute (0.92, 95%CI 0.35,1.50), a non-significant negative trend in out-of-school PA (−0.14, 95%CI−0.51,0.22) and a non-significant positive trend overall (0.21,95%CI −0.21,0.63). While consistent with the activitystat hypoth-esis, this is equally consistent with the interpretation that thestudy was adequately powered to detect changes in school-time PAbut not in total PA (reflecting the general statistical phenomenonthat more power is needed for broad outcomes going beyond thespecific intervention target). This second interpretation is perhapssupported by the intervention group's decreased body fat and in-creased aerobic fitness, suggesting a genuine increase in PA.

Regarding our methods, we followed conventional practice indefining ‘moderate-to-vigorous physical activity’ (MVPA) as all ac-tivity above the moderate intensity cut-point. Wilkin and Metcalf'scomment that MVPA “may not have involved any vigorous activity,and therefore invited no compensation” seems to imply that com-pensation is only expected with respect to vigorous PA. This hadnot been our understanding, and seems inconsistent with the use

0091-7435/$ – see front matter © 2011 Elsevier Inc. All rights reserved.doi:10.1016/j.ypmed.2011.12.010

of MVPA in activitystat research from Wilkin's group, again defin-ing MVPA as everything above the moderate-intensity cut-point(e.g. Fremeaux et al., 2011). As Wilkin and Metcalf note, althoughour paper presents this MVPA measure, we report obtaining thesame results for total volume of physical activity, defined asmean counts/minute. We used ‘mean counts’ rather than the‘sum of all counts’ as we believed that increased sleeping timewas not hypothesised to be a major mechanism underlying activitycompensation. As such, and contrary to Wilkin and Metcalf, we feltthe sum of all counts would be more confounded by differences inwaking time. It is also less amenable to examining partial activitycompensation, as spending more time in any behaviour is neces-sarily expected to predict accumulating fewer counts across therest of the day (approaching zero counts as time in the behaviourapproaches 100%). For complete activity compensation, however,we re-ran our analyses using the sum of all counts and obtainedvery similar findings (see Supplementary Tables 1 and 2).

We accept that we only tested the hypothesis of ‘same-day’ compen-sation. Our nullfindings in this respect replicate one previous studywhichfound no evidence of same-day or next-day compensation (Baggett et al.,2010). Wilkin and Metcalf are correct that these data do not address thepossibility that any activity compensation is delayed until later in theweek.

In summary, we agree that our study is neither a perfect nor adefinitive test of the activitystat hypothesis. In the absence of de-finitive evidence, however, our rich behavioural data does give usan advantage over much other observational research. Our findingthat there was no evidence of even partial, same-day activity com-pensation therefore contributes to the literature on this importantpublic health question.

Conflict of interest

No conflict of interest.

Appendix A. Supplementary data

Supplementary data to this article can be found online at doi:10.1016/j.ypmed.2011.12.010.

References

Baggett, C.D., Stevens, J., Catellier, D.J., Evenson, K.R., Mcmurray, R.G., He, K., Treuth,M.S., 2010. Compensation or displacement of physical activity in middle-schoolgirls: the Trial of Activity for Adolescent Girls. Int. J. Obes. (Lond) 34, 1193–1199.

Fremeaux, A.E., Mallam, K.M., Metcalf, B.S., Hosking, J., Voss, L.D., Wilkin, T.J., 2011. Theimpact of school-time activity on total physical activity: the activitystat hypothesis(EarlyBird 46). Int. J. Obes. (Lond) 35, 1277–1283.

Kriemler, S., Zahner, L., Schindler, C., Meyer, U., Hartmann, T., Hebestreit, H., Brunner-LaRocca, H.P., VanMechelen, W., Puder, J.J., 2010. Effect of school based physical activityprogramme (KISS) on fitness and adiposity in primary schoolchildren: cluster rando-mised controlled trial. BMJ 340, c785.

Wilkin, T., Metcalf, B., 2012. Testing the activitystat hypothesis. Prev. Med. 55xxx-xxx.

179Letter to the Editor

Anna GoodmanFaculty of Epidemiology and Population Health,

London School of Hygiene and Tropical Medicine, London, UKCorresponding author at: Faculty of Epidemiology and Population

Health, London School of Hygiene and Tropical Medicine (LSHTM),Keppel Street, London, WC1E 7HT, UK.

Fax: +44 020 7580 6897.E-mail address: anna.goodman@lshtm.ac.uk.

Roger L. MackettJames Paskins

Centre for Transport Studies, University College London, London, UK

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