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  • Letter to the editor
  • Open Access

Response to Farrokhi et al.’s statistical comments on ‘no seasonal variation in physical activity of Han Chinese living in Beijing’

International Journal of Behavioral Nutrition and Physical Activity201714:152

  • Received: 17 October 2017
  • Accepted: 20 October 2017
  • Published:

Dear Editor,

We have previously shown that physical activity patterns of Han Chinese adults living in Beijing were relatively invariant over the course of a single year [1], despite enormous differences in ambient temperature over the annual cycle. In addition we also indicated that BMI and body composition of the same subjects was also not significantly changed over the course of the year long measurements. We are grateful to Farrokhi et al. [2] for pointing out an error in our analysis in this latter section of the paper, and welcome the opportunity to amend this analysis in the light of their constructive comments. As noted by Farrokhi et al. [2] in our analysis of the effects of time on body composition parameters we used a simple one-way ANOVA that did not account for the fact the measurements were repeated in the same individuals and hence not independent. When we repeat the analysis as a General Linear Model including individual ID as a random factor, then it turns out that there are indeed significant temporal effects on the body composition measurements (Body weight: FMonth (5195) = 0.66, p = 0.024, FID (33,195) = 247.19, p < 0.001; BF%: FMonth (5195) = 11.49, p < 0.001, FID (33,195) = 229.50, p < 0.001; FM: FMonth (5195) = 9.15, p < 0.001, FID (33,195) = 159.63, p < 0.001; FFM: FMonth (5195) = 6.44, p < 0.001, FID (33,195) = 524.33, p < 0.001). These effects are illustrated in Fig. 1. The body weight in January was significantly lower than in November, but the other months did not differ significantly from each other. For body fat percentage and fat mass, the value in November was greater than in the other months. Fat-free mass was higher in the summer months compared to the winter (Fig. 1d).
Fig. 1
Fig. 1

Temporal changes in body composition. a is the temporal changes in body weight. Each point represents residual of the actual value minus the mean value for the same individual. b represents the temporal changes in body fat percentage. c and d show the temporal changes in fat mass and fat-free mass. Means that do not share a letter are significantly different

We note from these revised analyses that for the body composition measurements we made the main effect was that the individuals were significantly fatter and heavier later in the study (November) compared with earlier (January). Because our measurements spanned only a single year we cannot distinguish whether this was a seasonal effect, or because the individuals were all getting older as the study progressed. In contrast fat-free mass did not progressively increase but was higher both at the start and end, but lower in the summer period in the middle. This may be a true seasonal effect, but additional years of study would be required to confirm that. Previous studies have shown adult individuals in the USA gain around 0.5 kg each year as they age [3] and the magnitude of this effect is consistent with the change we observed in weight and fatness. We emphasise that the other statistical analyses in the original paper concerning physical activity levels did account for repeated measurements, and these analyses, and the conclusions drawn from them, are unaffected by this error.


Authors’ contributions

GW and JRS reanalyzed the data and co-wrote the response. Both authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China
University of Chinese Academy of Sciences, Beijing, 100049, China
Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, AB24 2TZ, UK


  1. Wang G, Li BG, Zhang XY, Niu CQ, Li JB, Li L, Speakman JR. No seasonal variation in physical activity of Han Chinese living in Beijing. Int J Behav Nutr Phys Act. 2017;14:48.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Farrokhi M, Shiriyan N, Arjaki D. Letter to the editor: statistical comment on “no seasonal variation in physical activity of Han Chinese living in Beijing”. Int J Behav Nutr Phys Act. 2017;Google Scholar
  3. Van Wye G, Dublin JA, Blair SN, DiPietro L. Adult obesity does not predict 6-year weight gain in men: the aerobics center longitudinal study. Obesity. 2007;15:1571–7.View ArticlePubMedGoogle Scholar


© The Author(s). 2017