Journal of Obesity

Journal of Obesity / 2015 / Article

Comment on “Intervention Effects of a School-Based Health Promotion Programme on Obesity Related Behavioural Outcomes”

  • Peng Li | Andrew W. Brown | ... | David B. Allison |
  •  Article ID 708181 |
  •  Published 25 May 2015
  • | View Article

Response to: Comment on “Intervention Effects of a School-Based Health Promotion Programme on Obesity Related Behavioural Outcomes”

  • Susanne Kobel | Tamara Wirt | ... | Jürgen M. Steinacker |
  •  Article ID 347590 |
  •  Published 09 Aug 2015

Letter to the Editor | Open Access

Volume 2015 |Article ID 347590 | 2 pages | https://doi.org/10.1155/2015/347590

Response to: Comment on “Intervention Effects of a School-Based Health Promotion Programme on Obesity Related Behavioural Outcomes”

Academic Editor: Bernhard H. Breier
Received23 Jun 2015
Accepted02 Aug 2015
Published09 Aug 2015

Evaluating multicomponent health programmes in public institutions is always a complex task and requires careful planning [1]. Reporting the outcomes in a precise and understandable manner is a further challenge for the researcher [2].

The points raised by Li et al. [3] are very valid and were also considered by us when writing the paper. Although outlined by Dreyhaupt et al. [4], not all planned analyses were incorporated in our paper [5]. Since the paper [5] (especially Methods) ended up being considerably substantial, we refrained from adding results of further statistical analyses to the paper. Further, in previous paper concerning cross-sectional results of this study, we referred to the respective consideration of clustering effects including adequate statistical methods [6, 7]. Since almost no clustering effects were observed, we refrained from introducing them in the present paper, even due to the associated complexity [2].

However, we have compared the results of the logistic regression models used and published in the paper with the results of generalised linear mixed models considering possible clustering effects in schools. Only a slight difference between odds ratios (ORs) was derived from the logistic regression models and the ORs from generalised linear mixed models for the variables “soft drink consumption” and “skipping breakfast.” Hence, we refrained from explaining and mentioning it in the paper.

To reveal these above-mentioned slight differences between the results published in the paper and those derived from mixed models accounting for clustering, we included Table 1, which shows the results from both types of analysis. The ORs for our outcome variables physical activity, screen media use, soft drink consumption, and breakfast habits show no significant differences, and therefore we assume no clustering effects in our data.


OR95% CI

Physical activity, MVPA on ≥4 days/week ≥60 minutes 1386
Logistic regression model1.18 [0.92, 1.52]
Generalised linear mixed model1.18 [0.92, 1.52]
Screen media use, screen media ≥1 h/day 1471
Logistic regression model0.75 [0.53, 1.06]
Generalised linear mixed model0.75 [0.53, 1.06]
Soft drink consumption, soft drinks ≥1 time/week 1475
Logistic regression model0.96 [0.72, 1.28]
Generalised linear mixed model0.93[0.68, 1.29]
Breakfast habits, skipping breakfast 1480
Logistic regression model0.86 [0.58, 1.29]
Generalised linear mixed model0.89[0.57, 1.39]

OR: odds ratio; CI: confidence interval.

Conflict of Interests

The authors declare that there is no conflict of interests.

References

  1. P. Craig, P. Dieppe, S. Macintyre, S. Mitchie, I. Nazareth, and M. Petticrew, “Developing and evaluating complex interventions: the new Medical Research Council guidance,” British Medical Journal, vol. 337, Article ID a1655, 2008. View at: Publisher Site | Google Scholar
  2. M. Casals, M. Girabent-Farrés, and J. L. Carrasco, “Methodological quality and reporting of generalized linear mixed models in clinical medicine (2000–2012): a systematic review,” PLoS ONE, vol. 9, no. 11, Article ID 0112653, 2014. View at: Publisher Site | Google Scholar
  3. P. Li, A. W. Brown, J. M. Oakes, and D. B. Allison, “Comment on ‘intervention effects of a school-based health promotion programme on obesity related behavioural outcomes’,” Journal of Obesity, vol. 2015, Article ID 708181, 2 pages, 2015. View at: Publisher Site | Google Scholar
  4. J. Dreyhaupt, B. Koch, T. Wirt et al., “Evaluation of a health promotion program in children: study protocol and design of the cluster-randomized Baden-Württemberg primary school study [DRKS-ID: DRKS00000494],” BMC Public Health, vol. 12, no. 1, article 157, 2012. View at: Publisher Site | Google Scholar
  5. S. Kobel, T. Wirt, A. Schreiber et al., “Intervention effects of a school-based health promotion programme on obesity related behavioural outcomes,” Journal of Obesity, vol. 2014, Article ID 476230, 8 pages, 2014. View at: Publisher Site | Google Scholar
  6. D. Kesztyüs, S. Kettner, S. Kobel et al., “Quality of life and frequency of sickness in school-children in correlation to activity and media consumption,” Deutsche Zeitschrift fur Sportmedizin, vol. 64, no. 10, pp. 293–300, 2013. View at: Publisher Site | Google Scholar
  7. D. Kesztyüs, A. Schreiber, S. Kobel et al., “Illness and determinants of health-related quality of life in a cross-sectional sample of schoolchildren in different weight categories,” GMS German Medical Science, vol. 12, no. 1, 2014. View at: Publisher Site | Google Scholar

Copyright © 2015 Susanne Kobel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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