Depression, anxiety and stress among adults and its relation to consumption of medicine and demographic variables

• Grant number: 14/14869-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2014
• End date: October 31, 2015
• Field of knowledge: Health Sciences - Pharmacy
• Principal Investigator: Juliana Alvares Duarte Bonini Campos
• Grantee: Jéssica de Souza Carvalho
• Host Institution: Faculdade de Ciências Farmacêuticas (FCFAR). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

The aim of this study is to estimate the level of depression, anxiety and stress among adults and its relation to consumption of medicine, presence of self-medication and demographic variables. The individuals (n=105-210) who seek care at Faculty of Dentistry of Araraquara-UNESP between 2014 and 2015, who present age being 25 and 59 years of age will participate in the study. So, the questionnaire about demographic characteristics of sample, consumption of medicine, presence of self-medication and scale of Depression, Anxiety and Stress (DASS-21) will be used. The psychometrics proprieties of the DASS-21 will be assessed. The psychometric sensitivity of the items will be estimated by measures of central tendency, variability and shape, the construct validity by factorial, convergent and discriminant validity. The reliability of the DASS-21 will be assessed by the Cronbach's alpha standardized. The mean final scores of the depression, anxiety and stress will be computed using matrix of regression by confirmatory factorial analyses. The study of association between consumption of medicine and practice of self-medication according to demographic variables will be performed by the chi-square (c2). To compare the mean final scores of Depression, Anxiety and Stress according to the consumption of medicine and the practice of self-medication and demographic variables will be used Analysis of Variance (ANOVA) if certificated the assumptions of normality and homoscedasticity. For multiple comparisons, post-test Tukey will be used. For decision making, the 5% level of significance will be used.