Marjan Cugmas (Author), Aleš Žiberna (Author)

Abstract

Namen prispevka je preveriti, ali lahko s pomočjo metode odločitvenih dreves na podlagi demografskih in nekaterih drugih določljivih značilnosti posameznika ločujemo med tistimi, ki so bolj, in tistimi, ki so manj nagnjeni k depresiji oziroma neugodnemu duševnemu počutju. Na ta način smo želeli poiskati ciljne segmente za ozaveščanje o depresiji in preventivnih programih. Študija je temeljila na analizi podatkov ESS za Slovenijo (leto 2012). Na podlagi analize smo identificirali štiri ciljne segmente, ki so v večji meri nagnjeni k depresiji: mladi brezposelni, brezposelni pasivni, starejši in ženske nad 52. letom starosti. Metoda odločitvenih dreves se je izkazala kot uporabna za iskanje ciljnih segmentov tudi na področju duševnega zdravja, rezultati pa potrjujejo izsledke drugih družboslovnih raziskav.

Keywords

Duševno zdravje;Depresija;Preventiva;Klasifikacija;

Data

Language: Slovenian
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL FDV - Faculty of Social Sciences
UDC: 303:616.89
COBISS: 33623645 Link will open in a new window
ISSN: 0040-3598
Parent publication: Teorija in praksa
Views: 652
Downloads: 161
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Other data

Secondary language: English
Secondary abstract: The purpose of this paper is to determine whether decision trees can be used to distinguish between those who are more and those who are less prone to depression and mental ill-being based on demographic and some other identifiable characteristics of individuals. Using decision trees we wanted to find segments which could be targeted in awareness-raising programs about depression. By analysing data from the European Social Survey in 2012 for Slovenia, we identified four groups at a greater risk of depression: young unemployed, unemployed passive, older people and women older than 52 years. Decision trees are also shown for finding target segments in the field of mental well-being. The results confirm the findings of previous studies.
Secondary keywords: Mental health;Depression;Prevention;Classification;
Type (COBISS): Not categorized
Pages: str. 886-906, 1004-1005
Volume: ǂLetn. ǂ52
Issue: ǂšt. ǂ5
Chronology: sep.-okt. 2015
ID: 9169664