5 research outputs found
Young adolescents’ interest in a mental health casual video game
No full textBackground Mental distress and disorders among adolescents are well documented. Despite the array of treatments available, many mental health issues remain untreated and often undiagnosed. In an attempt to narrow the treatment gap, researchers have adapted existing mental health interventions into digital formats. Despite their efficacy in trial settings, however, real-world uptake of digital mental health interventions is typically low. Casual video games (CVGs) are popular among adolescents and may be a promising tool to reduce stress, anxiety and depression. Aim We set out to explore young adolescents’ views of CVGs and their opinions of mental health CVG prototypes, to help determine whether this idea warrants further investigation. Methods Pen and paper feedback forms following a brief presentation to 13–15-year-old adolescents in seven high schools (n = 207) followed by more detailed focus groups (n = 42) and workshops (n = 21) with interested students. Findings Across all three methods, participants reported playing CVGs several times a week or day to help relieve stress, feel more relaxed and relieve boredom. Most were also interested in the idea of a mental health CVG. Participants in focus groups and workshops confirmed that playing CVGs was common among themselves and their peers, and that the idea of a CVG with subtle and brief mental health content such as game-linked ‘micro messages’ was appealing. Participants recommended that the game should have an engaging interface and subtle mental health skills and information. Conclusions Findings from this exploratory study suggest that the concept of a mental health CVG appears to be appealing to adolescents. This novel approach should be tested
Co-creating a large-scale adolescent health survey integrated with access to digital health interventions
No full textAim This paper describes how we engaged with adolescents and health providers to integrate access to digital health interventions as part of a large-scale secondary school health and wellbeing survey in New Zealand. Methods We conducted nine participatory, iterative co-design sessions involving 29 adolescents, and two workshops with young people (n = 11), digital and health service providers (n = 11) and researchers (n = 9) to gain insights into end-user perspectives on the concept and how best to integrate digital interventions in to the survey. Results Students’ perceived integrating access to digital health interventions into a large-scale youth health survey as acceptable and highly beneficial. They did not want personalized/normative feedback, but thought that every student should be offered all the help options. Participants identified key principles: assurance of confidentiality, usability, participant choice and control, and language. They highlighted wording as important for ease and comfort, and emphasised the importance of user control. Participants expressed that it would be useful and acceptable for survey respondents to receive information about digital help options addressing a range of health and wellbeing topics. Conclusion The methodology of adolescent-practitioner-researcher collaboration and partnership was central to this research and provided useful insights for the development and delivery of adolescent health surveys integrated with digital help options. The results from the ongoing study will provide useful data on the impact of digital health interventions integrated in large-scale surveys, as a novel methodology. Future research on engaging with adolescents once interventions are delivered will be useful to explore benefits over time
Distinct profiles of mental health need and high need overall among New Zealand adolescents – Cluster analysis of population survey data
No full textObjective: The objective was to identify clinically meaningful groups of adolescents based on self-reported mental health and wellbeing data in a population sample of New Zealand secondary school students. Methods: We conducted a cluster analysis of six variables from the Youth19 Rangatahi Smart Survey ( n = 7721, ages 13–18 years, 2019): wellbeing (World Health Organization Well-Being Index), possible anxiety symptoms (Generalized Anxiety Disorder 2-item, adapted), depression symptoms (short form of the Reynolds Adolescent Depression Scale) and past-year self-harm, suicide ideation and suicide attempt. Demographic, contextual and behavioural predictors of cluster membership were determined through multiple discriminant function analysis. We performed cross-validation analyses using holdout samples. Results: We identified five clusters ( n = 7083). The healthy cluster ( n = 2855, 40.31%) reported positive mental health across indicators; the anxious cluster ( n = 1994, 28.15%) reported high possible anxiety symptoms and otherwise generally positive results; the stressed and hurting cluster ( n = 667, 9.42%) reported sub-clinical depression and possible anxiety symptoms and some self-harm; the distressed and ideating cluster ( n = 1116, 15.76%) reported above-cutoff depression and possible anxiety symptoms and high suicide ideation; and the severe cluster ( n = 451; 6.37%) reported the least positive mental health across indicators. Female, rainbow, Māori and Pacific students and those in higher deprivation areas were overrepresented in higher severity clusters. Factors including exposure to sexual harm and discrimination were associated with increasing cluster severity. Conclusion: We identified high prevalence of mental health challenges among adolescents, with distinct clusters of need. Youth mental health is not ‘one size fits all’. Future research should explore youth behaviour and preferences in accessing support and consider how to best support the mental health of each cluster
