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• W4386254731 abstract "Abstract Background Although risk markers for depressive disorders (DD) are dynamic, especially during adolescence, few studies have examined how change in risk levels during adolescence predict DD onset during transition to adulthood. We compared two competing hypotheses of the dynamic effects of risk. The risk escalation hypothesis posits that worsening of risk predicts DD onset beyond risk level. The chronic risk hypothesis posits that persistently elevated risk level, rather than risk change, predicts DD onset. Methods Our sample included 393 girls (baseline age 13.5–15.5 years) from the adolescent development of emotions and personality traits project. Participants underwent five diagnostic interviews and assessments of risk markers for DD at 9-month intervals and were re-interviewed at a 6-year follow-up. We focused on 17 well-established risk markers. For each risk marker, we examined the prospective effects of risk level and change on first DD onset at wave six, estimated by growth curve modeling using data from the first five waves. Results For 13 of the 17 depression risk markers, elevated levels of risk during adolescence, but not change in risk, predicted first DD onset during transition to adulthood, supporting the chronic risk hypothesis. Minimal evidence was found for the risk escalation hypothesis. Conclusions Participants who had a first DD onset during transition to adulthood have exhibited elevated levels of risk throughout adolescence. Researchers and practitioners should administer multiple assessments and focus on persistently elevated levels of risk to identify individuals who are most likely to develop DD and to provide targeted DD prevention." @default.
• W4386254731 created "2023-08-30" @default.
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• W4386254731 date "2023-08-29" @default.
• W4386254731 modified "2023-10-18" @default.
• W4386254731 title "Developmental pathway for first onset of depressive disorders in females: from adolescence to emerging adulthood" @default.
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• W4386254731 doi "https://doi.org/10.1017/s0033291723002441" @default.
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• W4386254731 hasPublicationYear "2023" @default.
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