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Joint Modeling of Longitudinal Measurements of Depressive Symptoms and Time to Suicide Ideation in Adolescents and Young Adults: A Gender Perspective

Goyal, Subir
http://rave.ohiolink.edu/etdc/view?acc_num=kent1564764787259137

Abstract Details

2019, PHD, Kent State University, College of Public Health.
Depression among adolescents and young adults is a major public health problem, and it has several adverse consequences. Increase risk of suicidal behavior is the most deleterious outcome of depression. In the United States, suicide is the 3rd leading cause of death among 10-14 years old and 2nd among 15-34 years old. There are significant gender differences in the prevalence of depression and suicidal behavior in this population. Though several studies have well documented the association between depression and suicidal behavior among adolescents and young adults, there are certain methodological limitations in the research. Due to the inherent study design structure, cross-sectional and case-control studies fail to establish temporality. Though longitudinal studies are considered better to demonstrated temporality between depression and suicidal behavior, there are other limitations to these studies, which undermine this relationship. In particular, small samples, unrepresentative population, and using two data points. This results in diminished external validity and limits the understanding of the progression of depression over time and its influence on suicidal behavior. Using publicly available data from wave I, II, III, and IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health), this study first examined the longitudinal progression of depression considering past depression as the primary predictor. To achieve this aim, transitional (first-order Markov) models were used. Second, the association of repeated events of suicidal thoughts with depression and potential confounders were examined by using repeated discrete time survival models. Lastly, joint modeling of longitudinal measurements of depression and repeated events of suicidal thoughts was done. Findings indicated that past depression was a significant predictor of depression among adolescents and young adults. Depressed males were more likely to get depressed during late adolescence and young adulthood as compared to depressed females. There was a significant relationship between depression and suicidal thoughts. In addition, younger age, female gender, low self-esteem, high mother’s education level, high delinquent behavior, less support from family and friends, alcohol problems or illicit drug use, maltreatment in childhood, and exposure to suicide were significantly associated with higher risk suicidal behavior among adolescents and young adults. The limitations and implications were provided in the discussion section.
Vinay Cheruvu, PhD (Advisor)
Melissa Zullo, PhD (Committee Member)
Eric Jefferis, PhD (Committee Member)
Ratchneewan Ross (Committee Member)
86 p.
Biostatistics; Epidemiology; Public Health
Joint Modeling; Suicide Ideation; Depression; Transitional Models

Recommended Citations

Citations

  • Goyal, S. (2019). Joint Modeling of Longitudinal Measurements of Depressive Symptoms and Time to Suicide Ideation in Adolescents and Young Adults: A Gender Perspective [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564764787259137

    APA Style (7th edition)

  • Goyal, Subir. Joint Modeling of Longitudinal Measurements of Depressive Symptoms and Time to Suicide Ideation in Adolescents and Young Adults: A Gender Perspective. 2019. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1564764787259137.

    MLA Style (8th edition)

  • Goyal, Subir. "Joint Modeling of Longitudinal Measurements of Depressive Symptoms and Time to Suicide Ideation in Adolescents and Young Adults: A Gender Perspective." Doctoral dissertation, Kent State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1564764787259137

    Chicago Manual of Style (17th edition)

kent1564764787259137
151
© 2019, all rights reserved.
This open access ETD is published by Kent State University and OhioLINK.