Behavioral Addictions in Children: A Focus on Gambling, Gaming, Internet Addiction, and Excessive Smartphone Use

Derevensky, Jeffrey L.; Marchica, Loredana; Gilbeau, Lynette; Richard, Jérémie

doi:10.1007/978-3-030-67928-6_161-1

Cited by 10 publications

(16 citation statements)

References 92 publications

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“…Technological addictions are part of non-toxic addictions and constitute addictive processes that develop through overuse and inappropriate use of what the internet offers, such as videos, video games and social networks [2,6]. Technology addiction is characterized by salience, mood changes, tolerance (the need to use longer), depression and irritability when technology is not used, interpersonal conflicts and relapse [4,7].…”

Section: Main Points;mentioning

confidence: 99%

Investigation of Cervical Posture, Sleep Quality and Perceived Health Risk in Technology Addicted Adolescents and Young Adults: A Comparative Study

Maden,

Isik

2023

Eur J Ther

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Objective: The aim of this study was to compare the cervical posture, sleep quality, and perceived health risk of technology-addicted adolescents, young adults and their controls. Methods: Adolescents and young-adults participants (n=160) were divided into four groups as addicted and non-addicted according to their age and Technology Addiction Scale scores. Cervical posture assessments were obtained by photographic analysis. Craniovertebral (CVA), craniohorizontal (CHA) and sagittal shoulder angle (SSA) values were recorded. Sleep quality was assessed with the Pittsburg Sleep Quality Scale. Participants' Perceived Health Risk was evaluated with a single-item, five-point Likert questionnaire. Results: The addicted participants had worse CVA than both their controls (p=0.000). Participants' CHA and SSA angles were similar in addicted groups (p=0.710 and p=0.612, respectively). Addicted adolescents had worse sleep quality than addicted young-adults (p=0.005). Perceived Health Risk is low level in all groups and there were no significant differences (p=0.055). Conclusion: Technology addiction affects the adolescent group more negatively than the young-adults. In the sample of adolescents and young-adults, individuals did not perceive excessive use of technological tools as a risk factor for their health. The degradation of CVA due to overuse of technological tools precedes the degradation of CHA and SSA. This can be explained by the fact that CVA is a more general angle that includes both the head- neck position and the vertebrae. It is necessary for public health and future health expenditures to educate and raise awareness of the more vulnerable adolescent group.

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Section: Main Points;mentioning

confidence: 99%

Investigation of Cervical Posture, Sleep Quality and Perceived Health Risk in Technology Addicted Adolescents and Young Adults: A Comparative Study

Maden,

Isik

2023

Eur J Ther

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“…Not all educational games are created equally, and some may lack appropriate content, fail to align with specific learning objectives, or not adequately support the developmental needs of young learners ( Domoff et al, 2019 ). It is crucial to critically evaluate the quality, educational value, and appropriateness of games before incorporating them into early childhood education settings ( Derevensky et al, 2019 ). Another challenge is the limited generalizability of skills acquired through games.…”

Section: Introductionmentioning

confidence: 99%

Game-based learning in early childhood education: a systematic review and meta-analysis

Alotaibi

2024

Front. Psychol.

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Game-based learning has gained popularity in recent years as a tool for enhancing learning outcomes in children. This approach uses games to teach various subjects and skills, promoting engagement, motivation, and fun. In early childhood education, game-based learning has the potential to promote cognitive, social, and emotional development. This systematic review and meta-analysis aim to summarize the existing literature on the effectiveness of game-based learning in early childhood education This systematic review and meta-analysis examine the effectiveness of game-based learning in early childhood education. The results show that game-based learning has a moderate to large effect on cognitive, social, emotional, motivation, and engagement outcomes. The findings suggest that game-based learning can be a promising tool for early childhood educators to promote children’s learning and development. However, further research is needed to address the remaining gaps in the literature. The study’s findings have implications for educators, policymakers, and game developers who aim to promote positive child development and enhance learning outcomes in early childhood education.

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“…However, research on the FFM with children is also flourishing, demonstrating that personality traits predict school performance and intelligence [ 57 , 58 , 59 ], self-esteem [ 57 ], and measures of internalizing and externalizing disorders [ 57 , 60 , 61 ] in middle childhood and adolescence. Other studies on adolescents have analyzed the predictive role of personality traits for substance addiction such as drugs [ 62 ], but studies related to behavioral addiction adopted mainly a correlational design approach in studying the linear associations between personality traits defined in line with the FFM and Internet addiction [ 63 ], gaming addiction [ 64 ], or social networking addiction [ 65 ]. The current study aims to overlap this gap, starting from the consideration that the underlaying structure of personality for behavior, even if measured and empirically evaluated in adults, may be a feature of significant novelty and relevance, both to research and to the preventive policy of addictive behaviors, since the earliest ages.…”

Section: Introductionmentioning

confidence: 99%

Premorbid Personality Traits as Risk Factors for Behavioral Addictions: A Systematic Review of a Vulnerability Hypothesis

Smirni

Lavanco

et al. 2023

Children

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The debate on personality structure and behavioral addictions is an outstanding issue. According to some authors, behavioral addictions could arise from a premorbid personality, while for others, it could result from a pathological use of technological tools. The current study aims to investigate whether, in the latest literature, personality traits have been identified as predictors of behavioral addictions. A literature search was conducted under the PRISMA methodology, considering the most relevant studies of the five-factor model from the past 10 years. Overall, most studies on addiction, personality traits, and personality genetics proved that behavioral addiction may be an epiphenomenon of a pre-existing personality structure, and that it more easily occurs in vulnerable subjects with emotional instability, negative affects, and unsatisfactory relationships with themselves, others, and events. Such neurotic personality structure was common to any addictive behavior, and was the main risk factor for both substance and behavioral addictions. Therefore, in clinical and educational contexts, it becomes crucial to primarily focus on the vulnerability factors, at-risk personality traits, and protective and moderating traits such as extroversion, agreeableness, conscientiousness, and openness to experience; meanwhile, treatment of behavioral addictions is frequently focused on overt pathological behaviors.

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Behavioral Addictions in Children: A Focus on Gambling, Gaming, Internet Addiction, and Excessive Smartphone Use

Cited by 10 publications

References 92 publications

Investigation of Cervical Posture, Sleep Quality and Perceived Health Risk in Technology Addicted Adolescents and Young Adults: A Comparative Study

Investigation of Cervical Posture, Sleep Quality and Perceived Health Risk in Technology Addicted Adolescents and Young Adults: A Comparative Study

Game-based learning in early childhood education: a systematic review and meta-analysis

Premorbid Personality Traits as Risk Factors for Behavioral Addictions: A Systematic Review of a Vulnerability Hypothesis

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