Evaluating the Relationship Between Multimedia Viewing, Sedentary Behavior, and Executive Function: a Systematic Review

McDonnell, Dean; Hunt, Evan; Griffin, Laura; Sasamoto, Ryoko

doi:10.1007/s41347-019-00097-8

Cited by 4 publications

(3 citation statements)

References 45 publications

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“…Other realms of research have done a thorough job in examining methodological issues which might influence results. In particular, these are considerations which may be associated with spuriously elevated effect sizes (Drummond et al, 2020; McDonnell et al, 2019; Want, 2014; Whyte et al, 2016). These methodological issues are shared in other areas of media research, such as violent video game research or research on thin ideal media and body dissatisfaction.…”

Section: Why Media Effects Can Be Hard To Pin Downmentioning

confidence: 99%

“…This may include clustering together screens such as e-readers for books, to television, to video games, to smartphones, and social media; each an expansive range of stimuli, served by an even wider range of screen displays and functions. It is possible that effects for different media may differ widely, observations about which may be lost when all screen use is clustered together (McDonnell et al, 2019).…”

Section: Why Media Effects Can Be Hard To Pin Downmentioning

confidence: 99%

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Like this meta-analysis: Screen media and mental health.

Ferguson¹,

Kaye²,

Branley-Bell³

et al. 2022

Professional Psychology: Research and Practice

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The question of whether screen time, particularly time spent with social media and smartphones, influences mental health outcomes remains a topic of considerable debate among policy makers, the public, and scholars. Some scholars have argued passionately that screen media may be contributing to an increase in poor psychosocial functioning and risk of suicide, particularly among teens. Other scholars contend that the evidence is not yet sufficient to support such a dramatic conclusion. The current meta-analysis included 37 effect sizes from 33 separate studies. To consider the most recent research, all studies analyzed were published between 2015 and 2019. Across studies, evidence suggests that screen media plays little role in mental health concerns. In particular, there was no evidence that screen media contribute to suicidal ideation or other mental health outcomes. This result was also true when investigating smartphones or social media specifically. Overall, as has been the case for previous media such as video games, concerns about screen time and mental health are not based in reliable data. Public Significance StatementConsiderable debate has examined whether exposure to screen media including smartphones and social media is associated with reduced mental health. This analysis suggests that, at present, the data are unable to support such a belief.

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Section: Why Media Effects Can Be Hard To Pin Downmentioning

confidence: 99%

Section: Why Media Effects Can Be Hard To Pin Downmentioning

confidence: 99%

Like this meta-analysis: Screen media and mental health.

Ferguson¹,

Kaye²,

Branley-Bell³

et al. 2022

Professional Psychology: Research and Practice

Self Cite

View full text Add to dashboard Cite

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“…This definition and the defining attributes could be a solution to address some of the critical issues regarding the conceptualization of the term, both in the current and broader research contexts of technology-based interventions [ 123 , 124 ], which compromises the ability of the existing research to enrich the literature. A growing number of papers have begun to acknowledge and address the importance of adopting clear and structured methodological procedures and frameworks to ensure research reproducibility and replicability [ 125 , 126 ]. The absence of a clear definition could lead to poor replicability and low comparability of intervention studies, which in turn, limits the applicability and generalizability of these studies and their corresponding interventions [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Technology-Based Interventions for Cancer Caregivers: Concept Analysis

Su¹,

Li²,

McDonnell³

et al. 2021

JMIR Cancer

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Background Cancer is a taxing chronic disease that demands substantial care, most of which is shouldered by informal caregivers. As a result, cancer caregivers often have to manage considerable challenges that could result in severe physical and psychological health consequences. Technology-based interventions have the potential to address many, if not all, of the obstacles caregivers encounter while caring for patients with cancer. However, although the application of technology-based interventions is on the rise, the term is seldom defined in research or practice. Considering that the lack of conceptual clarity of the term could compromise the effectiveness of technology-based interventions for cancer caregivers, timely research is needed to bridge this gap. Objective This study aims to clarify the meaning of technology-based interventions in the context of cancer caregiving and provide a definition that can be used by cancer caregivers, patients, clinicians, and researchers to facilitate evidence-based research and practice. Methods The 8-step concept analysis method by Walker and Avant was used to analyze the concept of technology-based interventions in the context of cancer caregiving. PubMed, PsycINFO, CINAHL, and Scopus were searched for studies that examined technology-based interventions for cancer caregivers. Results The defining attributes of technology-based interventions were recognized as being accessible, affordable, convenient, and user-friendly. On the basis of insights gained on the defining attributes, antecedents to, and consequences of technology-based interventions through the concept analysis process, technology-based interventions were defined as the use of technology to design, develop, and deliver health promotion contents and strategies aimed at inducing or improving positive physical or psychological health outcomes in cancer caregivers. Conclusions This study clarified the meaning of technology-based interventions in the context of cancer caregiving and provided a clear definition that can be used by caregivers, patients, clinicians, and researchers to facilitate evidence-based oncology practice. A clear conceptualization of technology-based interventions lays foundations for better intervention design and research outcomes, which in turn have the potential to help health care professionals address the needs and preferences of cancer caregivers more cost-effectively.

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