The impact of media on children during the COVID-19 pandemic: A narrative review

A Narrative Review of Multifactorial Determinants of Childhood Eating Behaviors: Insights and Interventions Using the Social Ecological Model

Background/Objectives: Childhood eating behaviors result from a complex interplay of familial, social, and environmental factors, influenced by socioeconomic and cultural contexts. These behaviors impact dietary habits, nutritional status, and long-term health. Using the Social Ecological Model (SEM), this narrative review synthesizes evidence on key determinants of childhood eating behaviors and proposes a framework for multi-level interventions. Methods: A structured literature search was conducted across PubMed, PsycINFO, and CINAHL, focusing on studies published between January 2014 and September 2024. Keywords related to childhood eating behaviors, familial determinants, and social influences were used to identify relevant studies. Inclusion criteria centered on empirical research examining how social and familial factors impact childhood eating behaviors within the SEM framework. Results: The review highlights critical determinants, including parental feeding practices, home food environments, peer influences, screen time, school meal programs, and socioeconomic disparities. These factors interact across multiple levels, emphasizing the importance of holistic interventions that target both individual behaviors and broader systemic influences. Conclusions: Addressing childhood eating behaviors requires a multi-level approach that integrates caregiver education, peer-led interventions, improved food environments, and supportive policies. Healthcare providers and policymakers play a crucial role in implementing strategies that foster healthier dietary behaviors and mitigate childhood obesity risks.

Digital Device Usage and Childhood Cognitive Development: Exploring Effects on Cognitive Abilities

The increasing ubiquity of digital devices in childhood had outpaced the understanding of their effects on cognitive development, creating a significant research gap regarding their long-term impact.

OBJECTIVE

The present narrative overview explored the complex relationship between digital device usage and cognitive development in childhood.

METHODS

We conducted a comprehensive literature search across multiple databases, including PubMed, Embase, Scopus, and Web of Science, to critically assess cognitive domains such as attention, memory, executive functions, problem-solving skills, and social cognition. Incorporating over 157 peer-reviewed studies published between 2001 and 2024, we used strict inclusion and exclusion criteria to ensure scientific rigor.

RESULTS

The review integrated empirical findings with established theoretical frameworks, particularly from cognitive development and media psychology, to highlight both the advantages and risks of early, frequent exposure to technology. The potential for digital devices to enhance cognitive skills, such as multitasking and information processing, was weighed against risks such as cognitive overload, diminished attention spans, and impaired social skills. We also examined psychological and behavioral outcomes, including identity formation, emotional regulation, and maladaptive behaviors associated with excessive screen time. Additionally, we identified strategies to mitigate negative effects, emphasizing structured digital engagement and parental involvement to support healthy cognitive and psychological growth. Our findings provided actionable recommendations for parents, educators, and policymakers, promoting optimal digital practices that enhanced cognitive development while safeguarding against potential harms.

CONCLUSIONS

The review offered essential insights for stakeholders in child development, education, and policy-making, highlighting the need for balanced integration of digital tools in childhood learning environments.

Exposure and power of TV food advertising during the COVID-19 pandemic in Brazil: a content analysis

BACKGROUND

With the COVID-19 pandemic and the restrictions imposed to contain the spread of SARS-CoV-2, the Brazilian population has increased the time spent at home and watching television (TV). Since food advertising exposure is a key driver of food choices, this study described the content of food advertisements (ads) on Brazilian TV during the COVID-19 pandemic.

METHODS

This is an exploratory study. A total of 684 h of TV programming comprised of three free-to-air channels and two pay-per-view channels was recorded from 06 a.m. to 12 a.m. for eight non-consecutive days in June 2020. A content analysis of all the food-related ads was carried out. The data collection process followed INFORMAS Protocol for TV food advertising monitoring.

RESULTS

The sample was composed of 7,083 ads, 752 (10.6%) of which were food-related and 487 (6.9%) were promoting ultra-processed foods. The content analysis indicated seven thematic categories, all of them with reference to the COVID-19 pandemic: brand and product differentials (79.8%); visual and sound effects (70.2%); thematic campaigns (56.0%); digitization (22.9%); convenience (16.5%); economic benefits (11.9%); and commensality and social interaction (6.1%). Ads content varied according to the day of the week, the time of the day, the length of the ad, and the channel type.

CONCLUSIONS

The thematic of food advertising on Brazilian TV during the COVID-19 pandemic is aligned with the country's health crisis context and varied during the programming.

Revolutionizing ocular cancer management: a narrative review on exploring the potential role of ChatGPT

This paper pioneers the exploration of ocular cancer, and its management with the help of Artificial Intelligence (AI) technology. Existing literature presents a significant increase in new eye cancer cases in 2023, experiencing a higher incidence rate. Extensive research was conducted using online databases such as PubMed, ACM Digital Library, ScienceDirect, and Springer. To conduct this review, Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines are used. Of the collected 62 studies, only 20 documents met the inclusion criteria. The review study identifies seven ocular cancer types. Important challenges associated with ocular cancer are highlighted, including limited awareness about eye cancer, restricted healthcare access, financial barriers, and insufficient infrastructure support. Financial barriers is one of the widely examined ocular cancer challenges in the literature. The potential role and limitations of ChatGPT are discussed, emphasizing its usefulness in providing general information to physicians, noting its inability to deliver up-to-date information. The paper concludes by presenting the potential future applications of ChatGPT to advance research on ocular cancer globally.