TY - JOUR
T1 - The role of bullying in depressive symptoms from adolescence to emerging adulthood
T2 - A growth mixture model
AU - Hill, Ryan M.
AU - Mellick, William
AU - Temple, Jeff R.
AU - Sharp, Carla
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Background The present study sought to identify trajectories of depressive symptoms in adolescence and emerging adulthood using a school-based sample of adolescents assessed over a five-year period. The study also examined whether bully and cyberbully victimization and perpetration significantly predicted depressive symptom trajectories. Method Data from a sample of 1042 high school students were examined. The sample had a mean age of 15.09 years (SD=.79), was 56.0% female, and was racially diverse: 31.4% Hispanic, 29.4% White, and 27.9% African American. Data were examined using growth mixture modeling. Results Four depressive symptoms trajectories were identified, including those with a mild trajectory of depressive symptoms, an increasing trajectory of depressive symptoms, an elevated trajectory of depressive symptoms, and a decreasing trajectory of depressive symptoms. Results indicated that bully victimization and cyberbully victimization differentially predicted depressive symptoms trajectories across adolescence, though bully and cyberbully perpetration did not. Limitations Limitations include reliance on self-reports of bully perpetration and a limited consideration of external factors that may impact the course of depression. Conclusions These findings may inform school personnel in identifying students– likely trajectory of depressive symptoms and determining where depression prevention and treatment services may be needed.
AB - Background The present study sought to identify trajectories of depressive symptoms in adolescence and emerging adulthood using a school-based sample of adolescents assessed over a five-year period. The study also examined whether bully and cyberbully victimization and perpetration significantly predicted depressive symptom trajectories. Method Data from a sample of 1042 high school students were examined. The sample had a mean age of 15.09 years (SD=.79), was 56.0% female, and was racially diverse: 31.4% Hispanic, 29.4% White, and 27.9% African American. Data were examined using growth mixture modeling. Results Four depressive symptoms trajectories were identified, including those with a mild trajectory of depressive symptoms, an increasing trajectory of depressive symptoms, an elevated trajectory of depressive symptoms, and a decreasing trajectory of depressive symptoms. Results indicated that bully victimization and cyberbully victimization differentially predicted depressive symptoms trajectories across adolescence, though bully and cyberbully perpetration did not. Limitations Limitations include reliance on self-reports of bully perpetration and a limited consideration of external factors that may impact the course of depression. Conclusions These findings may inform school personnel in identifying students– likely trajectory of depressive symptoms and determining where depression prevention and treatment services may be needed.
KW - Adolescents
KW - Bullying
KW - Depression
KW - Growth mixture modeling
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U2 - 10.1016/j.jad.2016.09.007
DO - 10.1016/j.jad.2016.09.007
M3 - Article
C2 - 27665072
AN - SCOPUS:84988528119
SN - 0165-0327
VL - 207
SP - 1
EP - 8
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -