Problematic technology use and sleep quality in young adulthood: novel insights from a nationally representative twin study.

Problematic technology use and sleep quality in young adulthood: novel insights from a nationally representative twin study.
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DOI:
10.1093/sleep/zsad038
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发表时间:
2023-06-13
期刊:
影响因子:
5.6
通讯作者:
--
中科院分区:
医学2区
文献类型:
--
作者:

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数字技术的使用与青少年和青年期睡眠质量差有关,尽管研究结果好坏参半。没有研究使用遗传信息双胞胎设计来解决两者之间的关联,这可以扩展我们对这种关系的病因学的理解。本研究旨在检验:(1)青少年感知的数字技术问题使用与睡眠质量差之间的关系;(2)在控制了家族因素后,技术问题使用与睡眠质量差之间的关系是否仍然存在;(3)遗传和环境因素对技术问题使用与睡眠质量差之间关系的影响。参与者是环境风险纵向双胞胎研究的2232名研究成员(18岁双胞胎)。样本中男性48.9%,白人90%,同卵55.6%。我们进行了回归分析和双胞胎差异分析,并拟合了双胞胎模型。在整个样本中(p < 0.001; B = 0.15),双胞胎在有问题使用技术方面的差异与睡眠质量差的差异有关(p < 0.001; B = 0.21),当我们将分析仅限于同卵双胞胎时也是如此(p < 0.001; B = 0.21)。我们观察到有问题的技术使用与睡眠质量之间存在显著的遗传相关性(rA = 0.31),而环境相关性较低(rE = 0.16)。据报道,青少年对数字技术的不当使用与睡眠质量差有关——即使在控制了包括遗传混杂在内的家族因素之后也是如此。我们的研究结果表明,青少年睡眠和有问题的数字技术使用之间的联系不能用共同的遗传责任或家族因素来解释,但可能反映了一种因果关系。这种强有力的联系需要在未来的研究中进行检验,以检验因果关系。
Digital technology use is associated with poor sleep quality in adolescence and young adulthood although research findings have been mixed. No studies have addressed the association between the two using a genetically informative twin design which could extend our understanding of the etiology of this relationship. This study aimed to test: (1) the association between adolescents’ perceived problematic use of digital technology and poor sleep quality, (2) whether the association between problematic use of technology and poor sleep quality remains after controlling for familial factors, and (3) genetic and environmental influences on the association between problematic use of technology and poor sleep quality. Participants were 2232 study members (18-year-old twins) of the Environmental Risk (E-Risk) Longitudinal Twin Study. The sample was 48.9% male, 90% white, and 55.6% monozygotic. We conducted regression and twin difference analyses and fitted twin models. Twin differences for problematic use of technology were associated with differences for poor sleep quality in the whole sample (p < 0.001; B = 0.15) and also when we limited the analyses to identical twins only (p < 0.001; B = 0.21). We observed a substantial genetic correlation between problematic use of technology and sleep quality (rA = 0.31), whereas the environmental correlation was lower (rE = 0.16). Adolescent reported problematic use of digital technology is associated with poor sleep quality—even after controlling for familial factors including genetic confounds. Our results suggest that the association between adolescents’ sleep and problematic digital technology use is not accounted for by shared genetic liability or familial factors but could reflect a causal association. This robust association needs to be examined in future research designed to test causal associations.
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