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Unveiling the Necessary Conditions for Depressive Symptoms in Adolescent Girls and Boys: A Necessary Condition
Ilaria Colpizzi1, Patrick Pössel2, Igor Marchetti3
1Department of Life Sciences, University of Trieste, Trieste, Italy. ilaria.colpizzi@units.it.
Abstract:
Adolescent depressive symptoms are a major global health concern, with a higher prevalence observed among females. While numerous risk factors have been identified, limited research has examined necessary conditions - factors whose absence ensures symptoms do not occur. Crucially, no prior study has explored gender differences in these necessary conditions during adolescence. To address this gap, the present study assessed 292 female adolescents (Mage = 15.23, SDage = 0.63; 72.26% White, 17.47% Black, 4.12% mixed race, 1.03% Asian, 0.34% Native American, 4.79% Latinx ethnicity), and 164 male adolescents (Mage = 15.27, SDage = 0.69; 76.83% White, 9.76% Black, 3.05% mixed race, 1.22% Asian, 1.83% Native American, other racial categories 1.22%, 6.10% Latinx ethnicity) recruited from a public high school in the United States, for cognitive vulnerabilities (e.g., dysfunctional attitudes, cognitive errors, negative cognitive triad, automatic thoughts, negative cognitive style, and brooding) and stressful life events at baseline. Depressive symptoms were measured at baseline and again after 12 months. Results from Necessary Condition Analysis revealed marked gender differences. For females, all assessed cognitive vulnerabilities and stressful life events were identified as necessary conditions for the development of depressive symptoms after 12 months. In contrast, none of these variables were found to be necessary conditions in males. Notably, 54.17% of females met the necessary conditions, classifying them as at-risk. These findings underscore the importance of distinguishing between genders when investigating necessary conditions for adolescent depression, as males and females are likely to exhibit different profiles of necessary factors. Necessary Condition Analysis offers a valuable framework to guide the development of targeted early prevention interventions in adolescence.
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