Although the authors adjusted for study center (country) in the model, it may be more appropriate to analyze data within each cohort and then combine the results with meta-analysis. In particular, the data collection methods were not consistent in the included cohorts. On the basis of the descriptive statistics, the characteristics of the study populations were substantially different across countries. In addition, the authors pooled data from 8 cohorts in different countries. Thus, a sensitivity analysis with adjustment for height or by replacing waist circumference with an index of central obesity ( 2) may justify the robustness of the results. The authors’ Table 1 shows that the average height varied substantially across individual cohorts, from 136.4 ± 13.0 cm to 157.9 ± 8.4 cm, as did average weight and BMI ( 1). However, when examining central adiposity as a potential intermediate, it may be better to adjust for height, especially for a youth study population with such a wide age range (6–18 y). Waist circumference is widely used to determine central adiposity. Nevertheless, the study would be strengthened by some sensitivity analyses. For example, the data can also be interpreted as that the association between birth weight and central adiposity was partially mediated by sedentary time. Although the authors discussed a few possible explanations to support their findings, they should be more conservative in making their conclusion given the nature of the cross-sectional study design. The authors concluded that the positive association between birth weight and sedentary time was partially mediated by central adiposity measured by waist circumference in young people aged 6–18 y. ( 1) examined the correlation between birth weight and sedentary time among youth in 8 cross-sectional cohorts from 7 countries. In a recent article in the Journal, Hildebrand et al.
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