Digital media use and subsequent cannabis and tobacco product use initiation among adolescents

Kelleghan, Annemarie; Leventhal, Adam M.; Cruz, Tess Boley; Bello, Mariel S.; Liu, Fei; Unger, Jennifer B.; Riehm, Kira E.; Cho, Junhan; Kirkpatrick, Matthew G.; McConnell, Rob; Barrington‐Trimis, Jessica L.

doi:10.1016/j.drugalcdep.2020.108017

Cited by 24 publications

(17 citation statements)

References 36 publications

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“…Essas plataformas podem influenciar na autoestima do adolescente, na imagem e aceitação do próprio corpo. Muitas adolescentes são pressionadas pela sociedade a se adequarem a determinados padrões de beleza e recorrem com mais frequência a softwares de edição de imagens, o que pode aumentar a prática de cyberbullying e transtornos relacionados à imagem corporal (Kelleghan, et al, 2020;Shah et al, 2019). As adolescentes tendem a acessar a internet com mais frequência e a relatar sentimentos de solidão e desconexão social (Coughlan et al, 2021;Lupton & Deborah, 2021), em que se observa mais comportamentos de comparação com as fotos/imagens das demais colegas e mais relatos de transtornos alimentares (Lonergan et al, 2020) especialmente aquelas com transtornos psiquiátricos devido à baixa autoestima e insegurança nos relacionamentos (Durkee et al, 2012).…”

Section: Resultsunclassified

Adolescentes na Era Digital: Impactos na Saúde Mental

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Gai

2021

RSD

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A expansão do uso da tecnologia tem interferido nos diversos aspectos da vida cotidiana das pessoas, em especial, os adolescentes. Mesmo com os benefícios dos avanços tecnológicos, o uso por parte dessa faixa etária sem a supervisão adequada e uso excessivo pode gerar diversos riscos e significativas alterações na saúde mental. Tendo isso em vista, este trabalho buscou identificar os impactos da exposição à internet e mídias sociais na saúde mental dos adolescentes. Foi realizada uma revisão integrativa com coleta de dados na Web of Science, Scopus, BVS e Psycnet. Do total de 245 artigos identificados, exclui-se os documentos de acordo com os critérios de inclusão e exclusão, restando 40 artigos para serem analisados. Como resultados, constatou-se a imprescindibilidade da tecnologia para a inserção do jovem neste mundo que evolui a cada dia. Entretanto, o uso desmedido dos recursos tecnológicos pode afetar os hábitos alimentares, sedentarismo, agressividade, uso ou abuso de substâncias, depressão, distorções da imagem corporal, ciclo sono/vigília, hiperatividade, automutilação e ideações suicidas. É inviável pensar nas novas gerações desvinculadas dos meios digitais, por esta razão observa-se a necessidade de uma atuação conjunta das escolas, pais, responsáveis e comunidade em geral para o desenvolvimento de ações que abordem de forma clara os riscos do mundo virtual.

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Section: Resultsunclassified

Adolescentes na Era Digital: Impactos na Saúde Mental

Sales

Costa

Gai

2021

RSD

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“…In Eq (1), y t represents the supervision signal corresponding to each component sample, and S t and A t correspond to the variable, which are calculated as Eq (2).…”

Section: Plos Onementioning

confidence: 99%

“…In recent years, as computer information technology and artificial intelligence (AI) develop fast, the combination of traditional media and digital media has become increasingly close. Information not only develops from material media to digital media, but also develops from single media to multimedia and all media [ 1 , 2 ]. In the development process of digital media art, electronic music is one of the typical representatives [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

The use of deep learning algorithm and digital media art in all-media intelligent electronic music system

Zheng

2020

PLoS ONE

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In the development of digital media art, to explore the preliminary application of deep learning method in intelligent electronic music system, and promote the integration of deep learning method and digital media technology, thus providing a direction for the development of all media intelligent system, based on deep deterministic policy gradient (DDPG), to solve the multi-task problem in intelligent system, a multi-task learning-based DDPG algorithm (M-DDPG) is proposed. Furthermore, a DDPG algorithm based on hierarchical learning (H-DDPG) is proposed for the hierarchical analysis of images in intelligent system. Aiming at the problem of image classification in intelligent system, through the setting of simulation environment, the application effect of several algorithms in intelligent electronic music system is evaluated. The results show that: M-DDPG algorithm can more accurately complete the operation of related tasks, the reward received by the intelligent system is more than 0.35, and the test results based on eight tasks are more accurate and effective. Even in the case of task error, the algorithm still shows good training results. H-DDPG algorithm has good effect for complex task processing. The accuracy rate of task test corresponding to intelligent system in different scenarios is above 95%, which is better than other conventional algorithms in task test; the self-reinforcement network algorithm can promote the improvement of image classification effect. Several algorithms proposed show excellent performance in image processing of intelligent system, and have great application potential.

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“…According to a Pew survey (2018), approximately 95% of adolescents own or have access to a smartphone, and almost half of them are online constantly [ 3 ]. High levels of media use among adolescents are related to negative outcomes, including poor academic achievement [ 4 ], obesogenic behaviors and obesity [ 5 ], mental health problems [ 6 ], and substance use [ 7 ]. Media literacy, and media health literacy (MHL) specifically, may mitigate these negative relationships.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of the Adolescent Media Health Literacy Scales: Rasch Measurement Model Approach

Fleary¹

2022

JMIR Pediatr Parent

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Background High media use has been implicated in negative social and health outcomes among adolescents. Therefore, it is critical that adolescents develop skills to healthily engage with media content. Media health literacy (MHL), skills for assessing and responding to health-related media content, and potentially targetable moderators for the relationship between media use and health-related outcomes are understudied in adolescents. The lack of MHL assessment tools may have contributed to this research gap. Objective This study aimed to develop and validate test-based scales of adolescents’ MHL. Methods The items developed were vetted iteratively via community reviews and cognitive interviews to establish content and face validity. Adolescents (N=355) completed a questionnaire that included the revised MHL items. The scales (Recognition/Identification, Influence/Critical Analysis, and Action/Reaction) were validated using Rasch measurement models. Convergent validity was assessed by correlating the summed scores of the three scales with existing functional and internet-related health literacy measures. Criterion validity was assessed by modeling logistic regressions for predicting health literacy–related behaviors from each scale after controlling for demographics. Effect sizes were estimated, and a short form was also validated. Results The final MHL scales (Recognition/Identification, Influence/Critical Analysis, and Action/Reaction) fit their Rasch models. The 9-item Recognition/Identification and 9-item Influence/Critical Analysis scales had good convergent validity with functional and internet-related health literacy measures and were positively related to reading instructions before taking medicines and questioning the truthfulness of health information found online. The 12-item MHL Scales-Short Form also had good convergent and criterion validity. However, convergent and criterion validity were not established for the 3-item Action/Reaction Scale. Conclusions The Recognition/Identification and Influence/Critical Analysis scales and the MHL Scales-Short Form may be used to determine the impact of MHL on media use and health outcome relationships and ultimately inform the development of interventions and policies to affect these relationships in multiple settings.

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Digital media use and subsequent cannabis and tobacco product use initiation among adolescents

Cited by 24 publications

References 36 publications

Adolescentes na Era Digital: Impactos na Saúde Mental

Adolescentes na Era Digital: Impactos na Saúde Mental

The use of deep learning algorithm and digital media art in all-media intelligent electronic music system

Development and Validation of the Adolescent Media Health Literacy Scales: Rasch Measurement Model Approach

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