Multinomial logistic regression in workers' health

Luís M. Grilo, Helena L. Grilo, Sónia P. Gonçalves, Ana Junça

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In European countries, namely in Portugal, it is common to hear some people mentioning that they are exposed to excessive and continuous psychosocial stressors at work. This is increasing in diverse activity sectors, such as, the Services sector. A representative sample was collected from a Portuguese Services' organization, by applying a survey (internationally validated), which variables were measured in five ordered categories in Likert-type scale. A multinomial logistic regression model is used to estimate the probability of each category of the dependent variable general health perception where, among other independent variables, burnout appear as statistically significant.

Original languageEnglish
Title of host publicationProceedings of the International Conference of Computational Methods in Sciences and Engineering 2017, ICCMSE 2017
EditorsTheodore E. Simos, Theodore E. Simos, Theodore E. Simos, Theodore Monovasilis, Zacharoula Kalogiratou
PublisherAmerican Institute of Physics Inc.
Volume1906
ISBN (Electronic)978-0-7354-1596-6
DOIs
Publication statusPublished - 28 Nov 2017
EventInternational Conference of Computational Methods in Sciences and Engineering 2017, ICCMSE 2017 - Thessaloniki, Greece
Duration: 21 Apr 201725 Apr 2017

Conference

ConferenceInternational Conference of Computational Methods in Sciences and Engineering 2017, ICCMSE 2017
CountryGreece
CityThessaloniki
Period21/04/1725/04/17

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