Advertising and Young People's Critical Reasoning Abilities: Systematic Review and Meta-analysis

BACKGROUND AND OBJECTIVES: Young people are exposed to an abundance of advertising for unhealthy products (eg, unhealthy foods, tobacco, alcohol). Because of their developing cognition, children may not be able to understand the intent of advertising. However, advertising restrictions often assume that adolescents have critical reasoning capacity and can resist the effects of advertising. This review seeks to assess whether the evidence supports this assumption. METHODS: Ten databases were searched in December 2020. Inclusion criteria were participants aged 6 to 17 years, any advertising exposure, objectively measured understanding or attitudinal outcome, a comparison, control, and between-group comparison. This study included all languages and excluded studies published pre-2010. Two reviewers independently extracted data and assessed study quality. RESULTS: Thirty-eight articles were included. Meta-analysis of 9 studies with attitudinal outcomes indicated that unhealthy product advertising generated more positive brand or product attitudes compared with neutral or no advertising control in all ages. There were significant effects for digital and nondigital advertising formats. We found greater understanding did not protect against the impact of advertising on brand or product attitudes. Limitations include the inability to meta-analyze the impact of advertising on understanding or the influence of age. CONCLUSIONS: Evidence shows that the attitudes of young people were influenced by advertising. Critical reasoning abilities did not appear to be fully developed during adolescence and not found to be protective against the impact of advertising. Policymakers should ensure regulations to restrict marketing of unhealthy commodities protects adolescents as well as younger children

Characterization of Puberty in an Australian Population-Based Cohort Study

Purpose: Current knowledge of the characteristics of puberty beyond age at menarche and thelarche is limited, particularly within population-based cohorts. Secular trends and concerns of the health effects of early puberty reinforce the value of contemporary studies characterizing the timing, tempo, duration, and synchronicity of puberty. // Methods: The Childhood to Adolescence Transition Study is a unique Australian cohort of individuals followed annually from late childhood to late adolescence, with up to eight assessments of pubertal stage from 9 to 19 years of age (N = 1,183; 636 females). At each assessment, females reported their Tanner Stage of breast and pubic hair development, while males reported on genital/pubic hair development. Nonlinear mixed-effects models characterized pubertal trajectories and were used to derive each individual’s estimates of timing, tempo, and synchronicity. Parametric survival models were used to estimate the overall duration of puberty. // Results: Timing of mid-puberty (Tanner Stage 3) ranged from 12.5 to 13.5 years, with females developing approximately 6 months before males. Pubertal tempo (at mid-puberty) was similar across sex (between half and one Tanner Stage per year), but the overall duration of puberty was slightly shorter in males. Most females exhibited asynchronous changes of breast and pubic hair development. // Discussion: Estimates of pubertal timing and tempo are consistent with reports of cohorts from two or more decades ago, suggesting stabilization of certain pubertal characteristics in predominantly White populations. However, our understanding of the duration of puberty and individual differences in pubertal characteristics (e.g., synchronicity of physical changes) remains limited

Children and Young People with Long COVID—Comparing Those Seen in Post-COVID Services with a Non-Hospitalised National Cohort: A Descriptive Study

Background: Post-COVID services have been set up in England to treat children with ongoing symptoms of Long COVID. To date, the characteristics of children seeking treatment from these services has not been described. / Purpose: (1) to describe the characteristics of children aged 11–17 referred to the Pan-London Post-COVID service and (2) to compare characteristics of these children with those taking part in the United Kingdom’s largest research study of Long COVID in children (CLoCk). / Design: Data from 95 children seeking treatment from the Post-COVID service between May 2021 and August 2022 were included in the study. Their demographic characteristics, symptom burden and the impact of infection are described and compared to children from CLoCk. / Results: A high proportion of children from the Post-COVID service and CLoCk reported experiencing health problems prior to the pandemic. Almost all Post-COVID service children met the research Delphi definition of Long COVID (94.6%), having multiple symptoms that impacted their lives. Symptoms were notably more severe than the participants in CLoCk. / Conclusions: This study describes the characteristics of children seeking treatment for Long COVID compared to those identified in the largest longitudinal observational study to date. Post-COVID service children have more symptoms and are more severely affected by their symptoms following infection with COVID-19 than children in the CLoCk study. Research to understand predisposing factors for severity and prognostic indicators is essential to prevent this debilitating condition. Evaluation of short- and long-term outcomes of interventions by clinical services can help direct future therapy for this group

Children and Young People with Long COVID:comparing those seen in Post-COVID services with a non-hospitalised national cohort: a descriptive study

Background: Post-COVID services have been set up in England to treat children with ongoing symptoms of Long COVID. To date, the characteristics of children seeking treatment from these services has not been described.Purpose: (1) To describe the characteristics of children aged 11-17 referred to the Pan London Post-COVID service and (2) To compare characteristics of these children with those taking part in the UK’s largest research study of Long COVID in children (CLoCk).Design: Data from 95 children seeking treatment from the Post-COVID service between May 2021 and August 2022 were included in the study. Their demographic characteristics, symptom burden and the impact of infection are described and compared to children from CLoCk.Results: A high proportion of children from the Post-COVID service and CLoCk reported experiencing health problems prior to the pan-demic. Almost all Post-COVID service children met the research Delphi definition of Long COVID (94.6%), having multiple symptoms that impacted their lives. Symptoms were notably more severe than the participants in CLoCk.Conclusions: This study describes the characteristics of children seeking treatment for Long COVID compared to those identified in the largest longitudinal observational study to date. Post-COVID service children have more symptoms and are more severely affected by their symptoms following infection with COVID-19 than children in the CLoCk study. Research to understand predisposing factors for severity and prognostic indicators is essential to prevent this debilitating condition. Evaluation of short and long-term outcomes of interventions by clinical services can help direct future therapy for this group.<br/

Recommendations for a better understanding of sex and gender in neuroscience of mental health

There are prominent sex/gender differences in the prevalence, expression and lifespan course of mental health and neurodiverse conditions. Yet the underlying sex and gender related mechanisms and their interactions are still not fully understood. This lack of knowledge has harmful consequences for those suffering from mental health problems. Hence, we set up a co-creation session in a one week workshop with a multidisciplinary team of 25 researchers, clinicians and policy makers, to identify the main barriers in sex and gender research in neuroscience of mental health. Based on this work, we here provide recommendations for methodologies, translational research and stakeholder involvement. These include guidelines for recording, reporting, analysis beyond binary groups, and open science. Improved understanding of sex and gender related mechanisms in neuroscience may benefit public health as this is an important step towards precision medicine and may function as an archetype for studying diversity

What are we measuring in developmental structural MRI?

<p>Poster presented at 2013 Flux Congress</p> <p> </p> <p>Structural magnetic resonance imaging (MRI) has given us the unprecedented capability to measure the developing human brain. This technique has paved the way for longitudinal studies exploring brain development across the entire life span. Results from these studies have given us a glimpse of the remarkably extended development of our brain, converging with evidence from anatomical and histological studies. But what are we measuring in developmental structural MRI studies? In this presentation, we attempt to unpack how developmental changes in brain structure during childhood and adolescence relate to co-occurring physical changes, and explore possible explanations for what these measurements represent in terms of cellular processes and organization. We utilize longitudinal structural MRI data to describe the developmental changes in brain structure as they relate to other physical measures such as height, weight, and pubertal stage, and consider the impact of accounting for regional brain volumes or total intracranial volume. In addition, we review and discuss the possible cellular and organizational changes that could be reflected in developmental structural MRI studies.</p

Retrospective Risk-Taking Questionnaire

<p>Retrospective questionnaire measures</p> <p>This questionnaire was created to retrospectively assess the sensation seeking, risk-taking, and impulsive behaviors in a longitudinal neuroimaging (MRI) cohort. As no behavioral markers of risk-taking were collected from participants concomitantly with the MRI data, we collected retrospective information of these behaviors using this written questionnaire.</p> <p>Participants were mailed this two-part questionnaire in 2013 to self-assess retrospectively their behaviors during adolescence. The first part of the questionnaire included three questions relating to the individual’s general recall of their own teenage behavior: i) How old were you when you engaged in the most risky behavior? ii) Compared to your peers, how much risky behavior did you engage in as a teenager? iii) Please describe the types of risky behaviors you engaged in as a teenager. Risky behavior was defined in the questionnaire as ‘behavior that is unsafe or might result in negative consequences.’ The second part of the questionnaire included adaptations of the following measures: Sensation-seeking Scale (SSS), Cognitive Appraisal of Risky Events (CARE) Questionnaire, Youth Risk Behavior Surveillance, Barratt Impulsiveness Scale (BIS), and Behavioral Inhibition System/Behavioral Approach System Scales.</p

Development of white matter microstructure and executive functions during childhood and adolescence: a review of diffusion MRI studies

Diffusion magnetic resonance imaging (dMRI) provides indirect measures of white matter microstructure that can be used to make inferences about structural connectivity within the brain. Over the last decade, a growing literature of cross-sectional and longitudinal studies have documented relationships between dMRI indices and cognitive development. In this review, we provide a brief overview of dMRI methods and how they can be used to study white matter and connectivity and review the extant literature examining the links between dMRI indices and executive functions during development. We explore the links between white matter microstructure and specific executive functions: inhibition, working memory and cognitive shifting, as well as performance on complex executive function tasks. Where there is concordance in findings across studies, this is highlighted, and potential explanations for discrepancies between results and challenges with using dMRI in child and adolescent populations are discussed. Finally, we explore future directions that are necessary to better understand the links between child and adolescent development of structural connectivity of the brain and executive functions