Prediction of depression risk by discriminant analysis in Czech adolescents

KLIMUSOVÁ, Helena and Iva BUREŠOVÁ. Prediction of depression risk by discriminant analysis in Czech adolescents. In II International Congress of Clinical and Health Psychology on children and adolescents, 17.-19. 11. 2016, Barcelona, Spain. 2016.

Basic information

• Original name: Prediction of depression risk by discriminant analysis in Czech adolescents
• Authors: KLIMUSOVÁ, Helena (203 Czech Republic, guarantor, belonging to the institution) and Iva BUREŠOVÁ (203 Czech Republic, belonging to the institution).
• Edition: II International Congress of Clinical and Health Psychology on children and adolescents, 17.-19. 11. 2016, Barcelona, Spain, 2016.

Other information

• Original language: English
• Type of outcome: Conference abstract
• Field of Study: 50100 5.1 Psychology and cognitive sciences
• Country of publisher: Spain
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• RIV identification code: RIV/00216224:14210/16:00088550
• Organization unit: Faculty of Arts
• Keywords in English: depression; adolescents; prediction; self-harm; family
• Tags: rivok
• Tags: International impact, Reviewed

Abstract

Adolescence is a period of vulnerability to depressive symptoms. The presented study aimed to identify a set of adolescent familial and behavioral-emotional factors predicting depression during this developmental stage. The study was conducted on the sample of the 1092 Czech adolescents, aged 12 - 16 years (m = 14.00, sd = 0.95); the proportion of the boys and girls was 47,5% and 52,5% respectively. The questionnaires were administered in the school setting, including Children's Depression Inventory (CDI) for the assessment of the presence and severity of specific depressive symptoms. The cut-off score of 20 points and/or presence of suicidal ideation indicated by item 9 were used as a criterion for the risk of clinical depression; 369 adolescents (33.8% of our sample) met the criterion. Stepwise linear dicsriminant analysis was utilized to construct a predictive model to identify individuals who have a higher risk of depression. The predictors, preliminary selected on the base of significant differences between high- and low-risk groups, were self-reported school grades, school aspirations, family enviroment variables, self-harm behavior, subculture identification, and relationship with peers. Six predictor variables were included in the final model: self-harm behavior (prior incidence of any kind of self-harm behavior); relationship with mother (poor); school grades (poor); gender (girls being more at risk); relationship with peers (poor); and identification with a subculture (e.g. emo, gothic). The discriminant analysis yielded a statistically significant function (lambda = 0.808; Chi-sq = 232.0, df = 6, p < 0.001). This function showed that the total rate of correct prediction was 76.2% (55.8% for high-risk group and 86.6% for low-risk group). The calculated discriminate function based on the six predictor variables may be useful for detecting adolescents at high risk of depression and taking preventive measures.

Links

• GA16-11062S, research and development project: Name: Depresivita v dětství a dospívání: diagnostika v kontextu vývojových trendů (Acronym: DEPRESE)

Investor: Czech Science Foundation