school

School-based multicomponent positive psychology interventions on well-being and distress

School-based multicomponent positive psychology interventions aim at increasing well-being indicators of mental health (i.e., subjective and psychological well-being) and reducing the most common psychological distress indicators (i.e., depression, anxiety, and stress) in adolescents. Positive psychology interventions originated as scientifically-based interventions that focus on strengthening positive emotions, thoughts, and behaviors through activities that can be easily implemented in daily routines. Multicomponent positive psychology interventions are based on a variety of individual exercises targeting two or more theoretically relevant well-being components and are conducted within an integral program, decreasing the risk of relapse and increasing the probability of spill-over effects and synergy between activities, thus being more likely to provide long-term effects.

School-based multicomponent positive psychology interventions were found in a systematic review with meta-analysis (Tejada-Gallardo et al., 2020, 9 studies, N= 4 898) to be effective in improving:

  • subjective well-being (g = 0.24, 95% CI 0.11–0.38, p = 0.000),
  • psychological wellbeing (g = 0.25, 95% CI 0.01–0.51, p <0.05),
  • and depression symptoms (g = 0.28, 95% CI 0.13–0.43, p = 0.000).

Removing low-quality studies led to a slight decrease in the effect sizes for subjective well-being and a considerable increase for psychological well-being and depression symptoms.

Comprehensive community-based programmes targeting high-risk youth

Comprehensive approaches involving community and school, were found effective in a systematic review (Jones et al., 2006, 222 studies - 14 systematic reviews; 103 RCTs; 52 Controlled non-randomized studies; 18 CBA; 35 BA) at preventing/delaying/reducing:

  • all substances when compared with community-only programmes and school-community programmes targeting high-risk youth (SMD = 0.38 and 0.36 respectively), and in high-risk individuals when compared with low-risk individuals (SMD = 0.42 and 0.08);
  • tobacco when compared with community-only programmes and school-community programmes targeting high-risk youth (SMD = 0.46 and 0.48), and in high-risk individuals when compared with low-risk individuals (SMD = 0.49 and 0.03);
  • alcohol when compared with community-only programmes and school-community programmes targeting high-risk youth (SMD = 0.49 and 0.49), and in high-risk individuals when compared with low-risk individuals (SMD = 0.56 and 0.05);
  • cannabis when compared with community-only programmes and school-community programmes targeting high-risk youth (SMD = 0.82 and 0.79), and in high-risk individuals when compared with low-risk individuals (SMD = 0.84 and 0.22);
  • all illicit drugs when compared with community-only programmes and school-community programmes targeting high-risk youth (SMD = 0.56 and 0.54), and in high-risk individuals when compared with low-risk individuals (SMD = 0.65 and 0.05).

There was no difference in effectiveness between ‘school-community’ programmes and ‘community-only’ programmes. Moreover, low risk population effect sizes were significantly greater across all types of interventions (‘comprehensive’, ‘school-community’, ‘community-only’) for tobacco (SMD = 0.05, SMD = 0.13); and cannabis (SMD = 0.04, SMD = 0.10). No other significant differences were reported.

Top