The study employed a non-probability sampling strategy, collecting data in 2024 from a total of 289 respondents, which included 114 panel participants and 175 individuals recruited via snowball sampling. The participants were adolescents, with a mean age of 15.86 years (SD = 0.97) and a range spanning from 14 to 17 years. The researchers utilized several validated instruments, including the Social Connectedness Scale, the PHQ-9 (Patient Health Questionnaire-9) for depressive symptoms, the Paykel Suicide Scale, and single-item indicators designed to measure loneliness and general well-being. The application of two distinct cross-sectional SEM models allowed the researchers to test whether depressive symptoms and loneliness statistically functioned as mediators in the associations observed between connectedness and various mental health outcomes.

The analysis demonstrated that higher levels of connectedness across all three domains—family, friends, and school—were significantly associated with reduced depressive symptoms. Specifically, higher connectedness with family was linked to lower depressive symptoms (β = −0.32), while higher connectedness with friends (β = −0.17) and school (β = −0.17) also showed similar negative associations with depressive symptom scores.

Further investigation into the relationship between social connectedness and suicidal ideation/behavior provided crucial insights into the mediating roles of depression. The study found a strong positive association between depressive symptoms and suicidal ideation/behavior (β = 0.57). Critically, when the model incorporated depression, the direct associations between connectedness and suicidal ideation/behavior were no longer statistically significant. This suggests that the protective effect of connectedness on suicidal thoughts is largely channeled through its ability to reduce depressive symptoms.

The analysis also explored the mediating influence of loneliness. The data indicated that higher connectedness with friends (β = −0.47) and family (β = −0.14) was associated with lower levels of loneliness. Loneliness, in turn, was found to be negatively associated with well-being (β = −0.30). This sequence suggests that by fostering stronger connections with peers and family, adolescents experience reduced feelings of isolation, which subsequently contributes to better overall well-being.

In contrast to the effects observed in the peer and family domains, school connectedness maintained a direct association with well-being, showing a positive relationship (β = 0.29). This indicates that school connectedness remained directly associated with well-being in the loneliness model, in contrast to the friend and family connectedness pathways that operated through loneliness.

The overall results highlight the importance of targeted interventions aimed at strengthening social support networks for LGBTIQ+ adolescents. The structural equation models provided a clear statistical framework for understanding how different types of social support—be it from family, peers, or educational institutions—contribute to the mitigation of negative mental health indicators like depression and loneliness, and how these factors collectively impact well-being and suicidal ideation.

While the findings offer valuable insights for future interventions designed to improve the quality of life for LGBTIQ+ youth, the study utilized a non-probability sampling strategy, which is a limitation of the research.

Subject of Research: The protective role of family, peer, and school connectedness on the mental health of LGBTIQ+ youth.

Article Title: The Power of Connectedness: Protecting the Mental Health of LGBTIQ+ Youth

Article References: Ancín-Nicolás, R. A., Angulo-Brunet, A., López-Sáez, M. Á., Platero, L., & Pastor, Y. (2026). The Power of Connectedness: Protecting the Mental Health of LGBTIQ+ Youth. Child Psychiatry & Human Development. https://doi.org/10.1007/s10578-026-02098-0

Image Credits: AI Generated

DOI: 10.1007/s10578-026-02098-0

Keywords: LGBTIQ+, Mental Health, Adolescent Well-being, Social Connectedness, Structural Equation Modeling, Depression, Loneliness, Power, Connectedness, Protecting, Mental, Health