Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Amsterdam Public Health Research Institute, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
Scand J Med Sci Sports. 2020 Jul;30(7):1237-1247. doi: 10.1111/sms.13658. Epub 2020 Apr 6.
Understanding the sources of the large individual differences in sedentary behavior is of great importance as this behavior is associated with pre-mature mortality and non-communicable diseases. Here, we report on the contribution of genetic and environmental factors to the variation in objectively assessed (accelerometer) sedentary behavior and self-reported sitting and their shared genetic basis. In addition, the overlap of the genetic risk factors influencing sedentary time and moderate-to-vigorous physical activity (MVPA) was estimated. A sample of 800 individuals (twins and their siblings) was equipped with an Actigraph accelerometer for 7 days and reported on their sitting time and time spent on MVPA on those days using the IPAQ-SF. Genetic factors explained 56% (CI: 44%, 65%) of the individual differences in objective sedentary behavior (Actigraph) and 26% (CI: 0%, 51%) of the individual differences in self-reported sedentary behavior (IPAQ-SF). A modest correlation (0.33) was found between these measures, which was for 45% accounted for by genetic influences. The genetic correlation was 0.49 reflecting a partly overlapping set of genes that influenced both measurements. A modest correlation (-0.27) between Actigraph-derived sedentary time and MVPA was found, which was 13% accounted for by genetic effects. The genetic correlation was -0.31, indicating that there are overlapping genetic variants that increase sedentary time and decrease MVPA or vice versa. To conclude, more than half of the individual differences in objective sedentary time could be attributed to genetic differences, while for self-reported sitting this was much lower. In addition, using objective measurements, this study confirms that sedentary time is not simply the inverse of MVPA. Future studies are needed to understand the pathways translating genomic variation into variation in these behaviors and how this knowledge might feed into the development of health promotion interventions.
了解久坐行为个体差异的来源非常重要，因为这种行为与过早死亡和非传染性疾病有关。在这里，我们报告了遗传和环境因素对客观评估（加速度计）久坐行为和自我报告的坐姿及其共同遗传基础的变化的贡献。此外，还估计了影响久坐时间和中等到剧烈体力活动（MVPA）的遗传风险因素的重叠。一个 800 人的样本（双胞胎及其兄弟姐妹）配备了 Actigraph 加速度计，进行了 7 天的测量，并使用 IPAQ-SF 报告了他们在这些天的坐姿时间和 MVPA 时间。遗传因素解释了客观久坐行为（Actigraph）个体差异的 56%（CI：44%，65%）和自我报告的坐姿行为（IPAQ-SF）个体差异的 26%（CI：0%，51%）。这两个测量值之间存在适度的相关性（0.33），其中 45%归因于遗传影响。遗传相关性为 0.49，反映了影响这两个测量值的部分重叠的基因集合。在 Actigraph 衍生的久坐时间和 MVPA 之间发现了适度的相关性（-0.27），其中 13%归因于遗传效应。遗传相关性为-0.31，表明存在重叠的遗传变异，这些变异会增加久坐时间并减少 MVPA，反之亦然。总之，客观久坐时间的个体差异超过一半可以归因于遗传差异，而对于自我报告的坐姿，这一比例要低得多。此外，使用客观测量，本研究证实久坐时间不仅仅是 MVPA 的反面。需要进一步的研究来了解将基因组变异转化为这些行为变化的途径，以及这些知识如何为健康促进干预的发展提供信息。
