Media Multitasking Is Associated With Higher Body Mass Index in Pre-adolescent Children

The effects of multitasking on metacognitive monitoring in primary and secondary school students

Influenced by the epidemic and the rapid popularization of smart devices, media multitasking has become increasingly common in people's lives and has attracted the attention of researchers, particularly among adolescents who are native to the digital era. However, previous studies have focused primarily on the relationship between multitasking and general cognitive functions, paying less attention to the connection between multitasking and metacognition, and there is a lack of research specifically addressing adolescents in this context. To address this gap, the current study conducted two experiments with upper primary and secondary school students to explore the relationship between multitasking and adolescents' metacognition under intrinsic and extrinsic cue conditions using metacognitive monitoring as an indicator. The results revealed that multitasking significantly reduced adolescents' metacognitive monitoring accuracy. However, the scores on the media multitasking questionnaire did not significantly correlate with metacognitive monitoring accuracy in the laboratory task. This finding suggested that multitasking, under both intrinsic and extrinsic cue conditions, impairs the accuracy of metacognitive monitoring for primary and secondary school students. However, daily media multitasking activities among these students were not significantly correlated with metacognitive monitoring accuracy.

Attention to food cues following media multitasking is associated with cross-sectional BMI among adolescents

Purpose

To measure attention to food cues following a multitask or a sustained attention single task, and further, to examine the associations with current weight status and excess consumption.

Methods

Ninety-six 13-to 17-year-olds were fed a standardized meal and then had their attention to food cues measured following completion of a single sustained attention task, media multitask, or a passive viewing control task. Participants then completed an eating in the absence of hunger paradigm to measure their excess consumption. Adolescents completed each condition on separate visits in randomized order. Attention to food cues was measured by computing eye-tracking measures of attention, first fixation duration, and cumulative fixation duration to distractor images while participants played the video game, Tetris. Participants also had their height and weight measured.

Results

Although not statistically significant, attention to food cues was greatest following a media multitask and weakest following a task that engaged sustained attention when compared to a control. First fixation duration was positively and statistically significantly associated with BMI-Z when measured following a multitask. Cumulative fixation duration was not associated with BMI-Z. There were no associations between BMI-Z and attention to food cues after the attention or control task, nor any association between attention to food cues and eating in the absence of hunger.

Conclusion

Among adolescents, we found that current adiposity was related to attention to food cues following a multitask. Multitasking may perturb the cognitive system to increase attention to food cues.

Digital Addiction and Sleep

In 2020, the World Health Organization formally recognized addiction to digital technology (connected devices) as a worldwide problem, where excessive online activity and internet use lead to inability to manage time, energy, and attention during daytime and produce disturbed sleep patterns or insomnia during nighttime. Recent studies have shown that the problem has increased in magnitude worldwide during the COVID-19 pandemic. The extent to which dysfunctional sleep is a consequence of altered motivation, memory function, mood, diet, and other lifestyle variables or results from excess of blue-light exposure when looking at digital device screens for long hours at day and night is one of many still unresolved questions. This article offers a narrative overview of some of the most recent literature on this topic. The analysis provided offers a conceptual basis for understanding digital addiction as one of the major reasons why people, and adolescents in particular, sleep less and less well in the digital age. It discusses definitions as well as mechanistic model accounts in context. Digital addiction is identified as functionally equivalent to all addictions, characterized by the compulsive, habitual, and uncontrolled use of digital devices and an excessively repeated engagement in a particular online behavior. Once the urge to be online has become uncontrollable, it is always accompanied by severe sleep loss, emotional distress, depression, and memory dysfunction. In extreme cases, it may lead to suicide. The syndrome has been linked to the known chronic effects of all drugs, producing disturbances in cellular and molecular mechanisms of the GABAergic and glutamatergic neurotransmitter systems. Dopamine and serotonin synaptic plasticity, essential for impulse control, memory, and sleep function, are measurably altered. The full spectrum of behavioral symptoms in digital addicts include eating disorders and withdrawal from outdoor and social life. Evidence pointing towards dysfunctional melatonin and vitamin D metabolism in digital addicts should be taken into account for carving out perspectives for treatment. The conclusions offer a holistic account for digital addiction, where sleep deficit is one of the key factors.

Home vs. bedroom media devices: socioeconomic disparities and association with childhood screen- and sleep-time

BACKGROUND

The literature has shown a widespread use of portable electronic devices among children over the last years. This study aimed to identify the availability of different media devices at home versus in children's bedroom according to the socioeconomic status (SES), and analyze the association between that availability and children's screen- and sleep-time on week and weekend days.

METHODS

Data from 3 to 10 year-old children (n = 8430) from a cross-sectional study conducted in Portugal (2016/17) was used. Screen- and sleep-time, availability of media devices, father and mother education (as a proxy measured of SES) were assessed via questionnaire.

RESULTS

Available devices at home were significantly more common among high-SES families; while media devices in the bedroom were more frequent in low-SES families (p < 0.001). In preschool and elementary school-aged children, media devices in the bedroom were associated with increase screen-time and shorter sleep per day. Also, mobile devices in the bedroom were shown to exert similar, or even more, influence on children's screen- and sleep-time as television.

CONCLUSIONS

Further research is needed to explore the pathways by which different electronic media negatively impacts on children's sleep and screen-time and to develop effective strategies to minimize device access at bedtime.

Using Smartphones When Eating Increases Caloric Intake in Young People: An Overview of the Literature

Recent literature highlights that the use of smartphones during meals increases the number of calories ingested in young people. Although the distraction interferes with physiological signals of hunger and satiety, a social facilitation effect has also been suggested. Cognition is a pivotal component in regulating food intake, and activities requiring high perceptual demands should be discouraged during meals.

Children's Health in the Digital Age

Environmental studies, metabolic research, and state of the art research in neurobiology point towards the reduced amount of natural day and sunlight exposure of the developing child, as a consequence of increasingly long hours spent indoors online, as the single unifying source of a whole set of health risks identified worldwide, as is made clear in this review of currently available literature. Over exposure to digital environments, from abuse to addiction, now concerns even the youngest (ages 0 to 2) and triggers, as argued on the basis of clear examples herein, a chain of interdependent negative and potentially long-term metabolic changes. This leads to a deregulation of the serotonin and dopamine neurotransmitter pathways in the developing brain, currently associated with online activity abuse and/or internet addiction, and akin to that found in severe substance abuse syndromes. A general functional working model is proposed under the light of evidence brought to the forefront in this review.