2.50
Hdl Handle:
http://hdl.handle.net/10755/154548
Type:
Presentation
Title:
Predicting Adolescent Suicidal Ideation: The Role of Data Reduction
Abstract:
Predicting Adolescent Suicidal Ideation: The Role of Data Reduction
Conference Sponsor:Sigma Theta Tau International
Conference Year:2006
Author:Hardie, Thomas, EdD, RN, CS, NP
P.I. Institution Name:University of Delaware
Title:Associate Professor
Co-Authors:Kevin G. Lynch, PhD; Howard Moss, MD
Adolescent suicidal ideation is strongly linked to suicidal behaviors. Suicide is third among mortality risks for those between 10 and 24 years of age with 4,243 (11.7%) deaths each year. The goal of this research project is the development of indicators to predict suicidal ideation in a large community (ADD Health) sample of adolescents (N= 6360). Specifically, concurrent depressive symptoms, externalized problem behaviors, gender, age and alcohol exposure have been used to construct a model to predict the presence of suicidal ideation. A second model explores problem behaviors associated with alcohol use as well as the predictors listed above in those adolescents exposed to alcohol during the last year. Data reduction strategies offer methods to test complex multivariate relationship and enhance our capacity predictors that can translate in improved assessment in the clinical area. Despite some mathematical complexity their ability to evaluate large blocks of predictors or symptoms makes these procedures important to nursing research. We will outline methods for coping with common challenges in managing missing and nonlinear data, using factor analytic models for the reduction in the number of variables to be analyzed and modeling options in the search for a multivariate predictive model for suicidal ideation. The results of a series of exploratory and confirmatory factor analyses and two backward logistic regressions suggest subsets (factors) of depressive items providing both increased risk and protection, gender, selected externalizing problem behavior (factors) and drinking alcohol increase risk of suicidal ideation (odds ratios between 1.3 and 2.9). In drinkers, a similar pattern was found, among the results alcohol related problems behaviors were not in the final model.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePredicting Adolescent Suicidal Ideation: The Role of Data Reductionen_GB
dc.identifier.urihttp://hdl.handle.net/10755/154548-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Predicting Adolescent Suicidal Ideation: The Role of Data Reduction</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Hardie, Thomas, EdD, RN, CS, NP</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Delaware</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">thardie@udel.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Kevin G. Lynch, PhD; Howard Moss, MD</td></tr><tr><td colspan="2" class="item-abstract">Adolescent suicidal ideation is strongly linked to suicidal behaviors. Suicide is third among mortality risks for those between 10 and 24 years of age with 4,243 (11.7%) deaths each year. The goal of this research project is the development of indicators to predict suicidal ideation in a large community (ADD Health) sample of adolescents (N= 6360). Specifically, concurrent depressive symptoms, externalized problem behaviors, gender, age and alcohol exposure have been used to construct a model to predict the presence of suicidal ideation. A second model explores problem behaviors associated with alcohol use as well as the predictors listed above in those adolescents exposed to alcohol during the last year. Data reduction strategies offer methods to test complex multivariate relationship and enhance our capacity predictors that can translate in improved assessment in the clinical area. Despite some mathematical complexity their ability to evaluate large blocks of predictors or symptoms makes these procedures important to nursing research. We will outline methods for coping with common challenges in managing missing and nonlinear data, using factor analytic models for the reduction in the number of variables to be analyzed and modeling options in the search for a multivariate predictive model for suicidal ideation. The results of a series of exploratory and confirmatory factor analyses and two backward logistic regressions suggest subsets (factors) of depressive items providing both increased risk and protection, gender, selected externalizing problem behavior (factors) and drinking alcohol increase risk of suicidal ideation (odds ratios between 1.3 and 2.9). In drinkers, a similar pattern was found, among the results alcohol related problems behaviors were not in the final model.</td></tr></table>en_GB
dc.date.available2011-10-26T13:05:10Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T13:05:10Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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