Electromagnetic radiation safety october 2018 anoxic brain injury recovery rate

Purpose Although the mobile phone has been conspicuously proliferated in the past decades, little is known about its influence; especially its effect on student learning and academic performance. anoxic event medical Although there is a growing interest in mobile devices and their correlates and consequences for children, effects vary across related studies and the magnitude of the overall effect remains unclear. The purpose of this study is to further examine any relationships that may exist between mobile phone use and educational achievement.

Research design A meta-analysis of research conducted on the relationship between mobile phone use and student educational outcomes over a 10-year period (2008–2017) was conducted.

The operational definition of cell phone use to guide the implementation of this study is: any measure of mobile phone use, whether considered normative or problematic, that quantifies the extent to which a person uses a phone, feels an emotional or other dependence on a phone, or categorizes the types of uses and situations in which use occurs. Studies examining use for the express purpose of educational improvement are not included, as the aim of this study is to ascertain the effects of normal smartphone use. The operational definition of academic achievement to guide the implementation of this study is: any measure that quantifies the extent to which a student or group of students is performing or feels he or she is performing to a satisfactory level, including but not limited to letter grades and test scores, knowledge and skill acquisition, and self-reported measures of academic ability or difficulty.

Findings The overall meta-analysis indicated that the average effect of mobile phone usage on student outcomes was r = −0.162 with a 95% confident interval of −0.196 to −0.128. The effect sizes of moderator variables (education level, region, study type, and whether the effect size was derived from a Beta coefficient, and mobile phone use construct) were analyzed. The results of this study and their implications for both research and practice are discussed.

The results of this study indicate that, overall, mobile phone use has a small negative effect (r = −0.16) on educational outcomes which is consistent with the previous literature (Lepp et al., 2015; Li et al., 2015). However, the results caution against coming to hasty conclusions based on these findings. The summary effect size is relatively small, even in the educational sphere. Hattie (2012), for example, conducted over 900 educational meta-analyses and found the largest summary effect for a classroom intervention to be a Cohen’s d of 1.44. Taking this into account, it is not surprising that something so ubiquitous and increasingly integral to students’ lives would have some influence on educational outcomes. Additionally, although the publication bias analysis suggests that these results are not greatly biased by a systematic exclusion of studies, it should be noted that the effects observed could be indicative of an association rather than causation. For example, those who are predisposed to overuse mobile devices may simply be less likely to achieve academically in the first place. That the summary effect is derived from studies involving experimental groups as well as cross-sectional studies, however, brings this possibility into question….

Kuss DJ, Kanjo E, Crook-Rumsey M, Kibowski F, Wang GY, Sumich A. Problematic mobile phone use and addiction across generations: the roles of psychopathological symptoms and smartphone use. J Technol Behav Sci. 2018;3(3):141-149. doi: 10.1007/s41347-017-0041-3.

Contemporary technological advances have led to a significant increase in using mobile technologies. Recent research has pointed to potential problems as a consequence of mobile overuse, including addiction, financial problems, dangerous use (i.e. whilst driving) and prohibited use (i.e. use in forbidden areas). The aim of this study is to extend previous findings regarding the predictive power of psychopathological symptoms (depression, anxiety and stress), mobile phone use (i.e. calls, SMS, time spent on the phone, as well as the engagement in specific smartphone activities) across Generations X and Y on problematic mobile phone use in a sample of 273 adults. Findings revealed prohibited use and dependence were predicted by calls/day, time on the phone and using social media. Only for dependent mobile phone use (rather than prohibited), stress appeared as significant. anoxic event at birth Using social media and anxiety significantly predicted belonging to Generation Y, with calls per day predicted belonging to Generation X. This finding suggests Generation Y are more likely to use asynchronous social media-based communication, whereas Generation X engage more in synchronous communication. The findings have implications for prevention and awareness-raising efforts of possibly problematic mobile phone use for educators, parents and individuals, particularly including dependence and prohibited use.

There are increasing numbers of people who are now using smartphones. Consequently, there is a risk of addiction to certain web applications such as social networking sites (SNSs) which are easily accessible via smartphones. There is also the risk of an increase in narcissism amongst users of SNSs. The present study set out to investigate the relationship between smartphone use, narcissistic tendencies and personality as predictors of smartphone addiction. The study also aimed to investigate the distinction between addiction specificity and co-occurrence in smartphone addiction via qualitative data and discover why people continue to use smartphones in banned areas. A self-selected sample of 256 smartphone users (Mean age = 29.2, SD = 9.49) completed an online survey. The results revealed that 13.3% of the sample was classified as addicted to smartphones. Higher narcissism scores and neuroticism levels were linked to addiction. Three themes of; social relations, smartphone dependence and self-serving personalities emerged from the qualitative data. Interpretation of qualitative data supports addiction specificity of the smartphone. It is suggested smartphones encourage narcissism, even in non-narcissistic users. In turn, this increased use in banned areas. reflex anoxic seizures in babies Future research needs to gather more in-depth qualitative data, addiction scale comparisons and comparison of use with and without SNS access. It is advised that prospective buyers of smartphones be pre-warned of the potential addictive properties of new technology.

In spite of the lack of a consensus on diagnosis, and the resulting variations in epidemiologic, comorbidity, and neurobiological research, these studies provide overwhelming evidence of similarities between IVGA and SUD. Taken as a whole, the research presented here strongly suggests that IVGA is a clinically relevant and valid syndrome. Like other addictions, it is better understood when incorporating a neuro-biological perspective. Our field must successfully address IVGAs to meet the needs of a society that is increasingly enmeshed in digital technology. Research in this area should continue to accelerate, allowing clinicians to better screen for, diagnose, psycho-educate, and provide multimodal treatment for our patients with IVGA. Treatment of IVGAs is explored in David N. Greenfield’s article, “Treatment Considerations in Internet and Video Game Addiction: A Qualitative Discussion,” in this issue.

Significant limitations in the current body of research include the difficulty in determining causality among many epidemiologic correlations, the limited knowledge of brain changes occurring in IVGA, including whether they are reversible, and the absence of animal model studies. These weaknesses will likely continue to encourage challenges to the validity of IVGA from critics. Some argue that digital technology use is so pervasive that the diagnosis may overpathologize behavior that is normative and acceptable in our culture.105 On the other hand, modern society’s excessive engagement with technology risks falsely normalizing addictions to technology, in what may be a culture of “functional tech-oholics.” It seems difficult to walk down a public street without seeing multiple passersby engaged with smartphones, or to partake in a group conversation with no mention of digital media in some form. anxiété antonyme It seems evident that the human brain cannot evolve fast enough to adapt to the progress of digital technology, and that even the most powerful prefrontal cortex may be unable to resist the allure of instant stimulation in the ocean of digital screens that our world is becoming. Regardless of where we place the diagnostic cutoff for IVGA, our patients suffering the most profound dysfunction from their use of digital technology need better resources to recognize, understand, and treat their condition. If IVGA proves to be more abundant than a collection of a few extreme cases, it will be even more vital for our psychoeducational interventions to reach not only affected individuals, but their families and the communities as well. Ironically, social media and other forms of screen-based education may prove the best platforms for reaching out to those suffering IVGA without the insight, knowledge, and resources to address it.a This fact reminds us that learning more about the benefits of digital technology as well as its risks represents a challenge for modern providers and an opportunity for contemporary researchers.

Background and Aims The growing popularity and frequency of Internet use has resulted in a large number of studies reporting various clinical problems associated with its abuse. The main purpose of this study is to conduct a meta-analysis of the association between Internet addiction (IA) and a number of personal and social psychological factors in adolescents.

Methods The search included cross-sectional, case-control and cohort studies which analyzed the relationship between IA and at least one of the following personal variables: (i) psychopathology, (ii) personality features and (iii) social difficulties, as well as (iv) self-esteem, (v) social skills and (vi) positive family functioning. These variables were classified as protective and promoting factors of the risk of developing IA.

Results A total of 28 studies with adequate methodological quality were identified in the primary medical, health and psychological literature databases up to November 2017. Of the 48,090 students included in the analysis, 6548 (13.62%) were identified as excessive Internet users. The results highlight that risk factors had a greater effect on IA than protective factors. Also, personal factors showed a greater link with IA than social factors.

Internet gaming addiction (IGA), as the most popular subtype of Internet addiction, is becoming a common and widespread mental health concern, but there are still debates on whether IGA constitutes a psychiatric disorder. The view on the brain as a complex network has developed network analysis of neuroimaging data, revealing that abnormalities of brain functional and structural systems are related to alterations in brain network configuration, such as small-world topology, in neuropsychiatric disorders. Here we applied network analysis to diffusion-weighted MRI data of 102 gaming individuals and 41 non-gaming healthy individuals to seek changes in the small-world topology of brain structural networks in IGA. definicion de anorexia wikipedia The connection topology of brain structural networks shifted to the direction of random topology in the gaming individuals, irrespective of whether they were diagnosed with Internet gaming disorder. Furthermore, when we simulated targeted or untargeted attacks on nodes, the connection topology of the gaming individuals’ brain structural networks under no attacks was comparable to that of the non-gaming healthy individuals’ brain structural networks under targeted attacks. Alterations in connection topology provide a clue that Internet gaming addicted brains could be as abnormal as brains

BACKGROUND: We investigated the prevalence and correlates of comorbid depression among patients with internet gaming disorder using the Internet Gaming Disorder scale (IGD-9) and the Patient Health Questionnaire-9 (PHQ-9) among nonclinical online survey respondents.

A new study of cancer data in England essentially replicated the results of the Philips et al study (see below). The study found that the two age groups most vulnerable to carcinogenic effects from cell phone use — young and elderly adults — showed increased incidence over time in brain cancer in the frontal and temporal lobes of the brain — the two lobes that receive the greatest dose of microwave radiation when cell phones are used near the head during phone calls.

However, Frank de Vocht, the author of this paper, rejected the explanation that cell phone use caused the increased cancer risk. He attributed the increased incidence to better diagnosis of brain tumors, especially in the elderly. Of course, this does not explain why the increase was only observed in the frontal and temporal lobes. He did not rule out the possibility that cell phone radiation may be a contributing factor to the observed increase.

Microwave News reported on this study and published the following graph obtained from Alasdair Philips (Microwave News, "Location, Location, Location: Aggressive Brain Tumors Tell a Story; GBM Rise Only in Frontal and Temporal Lobes, Oct 26, 2018.)