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Predictors and overestimation of recalled mobile phone use among children and adolescents

机译:预测和高估了儿童和青少年中召回的手机使用情况

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摘要

A growing body of literature addresses possible health effects of mobile phone use in children and adolescents by relying on the study participants' retrospective reconstruction of mobile phone use. In this study, we used data from the international case control study CEFALO to compare self-reported with objectively operator-recorded mobile phone use. The aim of the study was to assess predictors of level of mobile phone use as well as factors that are associated with overestimating own mobile phone use. For cumulative number and duration of calls as well as for time since first subscription we calculated the ratio of self-reported to operator-recorded mobile phone use. We used multiple linear regression models to assess possible predictors of the average number and duration of calls per day and logistic regression models to assess possible predictors of overestimation. The cumulative number and duration of calls as well as the time since first subscription of mobile phones were overestimated on average by the study participants. Likelihood to overestimate number and duration of calls was not significantly different for controls compared to cases (OR = 1.1, 95%-CI: 0.5 to 2.5 and OR = 1.9, 95%-CI: 0.85 to 4.3, respectively). However, likelihood to overestimate was associated with other health related factors such as age and sex. As a consequence, such factors act as confounders in studies relying solely on self-reported mobile phone use and have to be considered in the analysis. (C) 2011 Elsevier Ltd. All rights reserved
机译:越来越多的文献依靠研究参与者对手机使用的回顾性研究来解决儿童和青少年使用手机可能对健康产生的影响。在这项研究中,我们使用了国际案例对照研究CEFALO的数据来比较自我报告的数据和客观记录的操作员使用的手机使用情况。这项研究的目的是评估手机使用水平的预测因素以及与高估自己的手机使用情况相关的因素。对于通话的累计次数和持续时间,以及自首次订阅以来的时间,我们计算了自我报告与运营商记录的手机使用量之比。我们使用了多个线性回归模型来评估每天平均通话次数和持续时间的可能预测因素,并使用逻辑回归模型来评估过高估计的可能预测因素。研究参与者平均高估了通话的累计数量和持续时间,以及自首次订购手机以来的时间。与对照组相比,高估通话次数和通话持续时间的可能性没有显着差异(分别为OR = 1.1、95%-CI:0.5至2.5和OR = 1.9、95%-CI:0.85至4.3)。但是,高估的可能性与其他健康相关因素(例如年龄和性别)相关。结果,这些因素在仅依靠自我报告的手机使用情况的研究中成为混杂因素,必须在分析中加​​以考虑。 (C)2011 Elsevier Ltd.保留所有权利

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