ABSTRACT
OBJECTIVE: 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, Maori 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.
ABSTRACT
OBJECTIVE: To investigate prevalence and trends in key mental health and well-being indicators among New Zealand secondary school students. METHODS: Representative cross-sectional youth health surveys with 2-4% of the New Zealand secondary school population were conducted in 2001, 2007, 2012 and 2019 (total n = 34,548). RESULTS: In 2019, 69.1% reported good well-being (95% confidence interval = [67.6, 70.6]; World Health Organization 5-item), 22.8% reported clinically significant depression symptoms (95% confidence interval = [21.4, 24.1]; Reynolds Adolescent Depression Scale-Short Form) and 41.8% reported possible anxiety symptoms (95% confidence interval = [40.5, 43.2]; Generalized Anxiety Disorder 2, adapted). Past-year prevalence of periods of low mood (38.3%, 95% confidence interval = [36.6, 40.1]), deliberate self-harm (24.1%, 95% confidence interval = [22.8, 25.4]), suicide thoughts (20.8%, 95% confidence interval = [19.2, 22.4]) and suicide attempts (6.3%, 95% confidence interval = [5.5, 7.0]) were observed. After relative stability from 2001 to 2012, there were large declines in mental health to 2019. The proportion reporting good well-being decreased (odds ratio 0.71, 95% confidence interval = [0.65, 0.78], p < 0.001), depression symptoms increased (odds ratio 1.96, 95% confidence interval = [1.75, 2.20], p < 0.001) and past-year suicide thoughts and suicide attempts increased (odds ratio 1.41, 95% confidence interval = [1.25, 1.59], p < 0.001; odds ratio 1.60, 95% confidence interval = [1.32, 1.92], p < 0.001). Past-year deliberate self-harm was largely stable. Declines in mental health were unevenly spread and were generally greater among those with higher need in 2012 (females, Maori and Pacific students and those from higher deprivation neighbourhoods), increasing inequity, and among Asian students. CONCLUSION: Adolescent mental health needs are high in New Zealand and have increased sharply from 2012 among all demographic groups, especially females, Maori, Pacific and Asian students and those from high-deprivation neighbourhoods. Ethnic and socioeconomic disparities have widened.
