ArticleWellcome open research2024
Emotional Vulnerability in Adolescents (EVA) Longitudinal Study: Identifying individual differences in symptoms of adolescent depression and anxiety and their biopsychosocial mechanisms based on demographic and mental health characteristics.
Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Physical Activity as a Mediator of the Relationship Between Mediterranean Diet Adherence and Anxiety Symptoms in Chilean Adolescents: A Cross-Sectional Study.Children (Basel, Switzerland) · 2026Article
- The roles of binge gaming in social, academic and mental health outcomes and gender differences: A school-based survey in Hong Kong.PloS one · 2025Article
- Emotional Vulnerability in Adolescents (EVA) Longitudinal Study: Identifying individual differences in symptoms of adolescent depression and anxiety and their biopsychosocial mechanisms based on demographic and mental health characteristics.Wellcome open research · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
Background: Adolescent depression and anxiety are highly prevalent, recurrent, and disabling mental health conditions. Current treatment outcomes are suboptimal, often leaving young people with residual symptoms and high relapse rates. To inform future development of more effective preventative strategies, the Emotional Vulnerability in Adolescents (EVA) study aimed to identify vulnerability markers for adolescent depression and anxiety. Specifically, it examined the associations between mental health outcomes and potentially modifiable biopsychosocial factors. The present report provides an overview of the study design and methodology, summarised the demographic, clinical, and mechanistic characteristics of the sample, and examined individual differences by age, gender, and personal and familial history of mental health at baseline. Methods: Data collection was conducted across three-time points (baseline, 6-months and a 60-month follow-up). A total of 425 adolescents (60.5% female) aged 12 -18 years (Mean = 15.06, SD = 1.75) were recruited at baseline. A comprehensive battery of measures to assess a range of bio-psycho-social factors was employed. Results: We replicated previous findings in suggesting that females and those with a personal or familial history of mental health difficulties have higher levels of depression and anxiety and lower levels of well-being. These vulnerable sub-groups were also found to differ from their counterparts in a number of biopsychosocial factors; specifically they showed poorer sleep quality, lower levels of resilience, and higher levels of rumination, stress, neuroticism, external shame, bullying experiences, neural-cognitive biases, and dysfunctional attitudes. Furthermore, symptoms of depression and anxiety increased with age and peaked around age 15; age was also associated with an increased risk for eating disorders. Conclusions: The present findings highlight the importance of considering individual differences in developing future preventative and intervention strategies by targeting underlying mechanisms that are more specifically prominent in each individual subgroup of the population.
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