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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.
The basic components of Resiliency Theory – risk exposure, promotive assets and resources, and the dynamic interaction of risk and promotive factors over time – can be applied to the study of community well-being when communities face challenges. Although community well-being is often studied relative to acute risks, such as a natural disaster, it can also be threatened by chronic risks. Chronic risk exposure for a community includes factors such as economic decline, property vacancy, and crime. Over time these risks become additive in nature and interact with one another to adversely affect individuals, families, neighborhoods, and even entire cities. Economic decline of a given area, for example, can result in neighborhood instability and disadvantage that results in greater risk of crime. We argue that communities exposed to chronic stressors over time face slow disasters. Slow disasters create vulnerability and increase susceptibility to risk factors that generate barriers to community health and well-being. We apply these ideas through a case study of the postindustrial city of Flint, Michigan and discuss possible mechanisms to enhance resiliency in the face of slow disaster to achieve community well-being.
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