Anxiety Disorders
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: To join the sample, participants must meet the following inclusion criteria: Men and women; Age equal to or over 50 years old; Be monitored for the use of alcohol and/or other drugs at the HCPA Addiction Outpatient Clinic; Be clinically fit to perform physical exercise and therefore present a medical certificate stating fitness to practice; Not engaged in a physical exercise program (with more than 2 weekly sessions of light to moderate physical activity for a minimum of 30 minutes); Be able to communicate; Be able to provide consent to participate in the research. The research team has a clinical cardiologist who evaluate and issue a certificate for participants to participate in the research
Exclusion criteria
Exclusion criteria: Participants who meet the following criteria will be excluded: Individuals who present psychotic symptoms and/or cognitive deficits that make it difficult to apply mental health and functional capacity tests; Individuals who have acute or chronic injuries and clinical health problems that prevent the practice of physical exercise
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Evaluate the scores of functional tests: 6-Minute Walk Test (6MWT), Time Up and Go (TUG) Test, and Dual Task TUG Test. Assess the scores of the Handgrip Strength Test, WHOQOL-BREF Quality of Life Questionnaire, Mini-Mental State Examination (MMSE), and Barkley Deficits in Executive Functioning Scale (BDEFS). It is expected to find improvements in scores following combined training intervention. This will be verified using data analysis methods through means and standard deviations. The homogeneity and normality of the data will be assessed with Levene's and Shapiro-Wilk tests. For normally distributed data, linear mixed models with group effect, time, and group x time interaction will be used. For non-normally distributed data, generalized estimating equations will be applied. Outcomes will be evaluated according to the intention-to-treat principle. For inferential analysis, the significance level will be 5%. Data will be analyzed using the Statistical Package for the Social Sciences (SPSS), version 23.0 | — |
Secondary
| Measure | Time frame |
|---|---|
| Evaluate the scores for the assessment of trait-state anxiety and depressive symptoms using the State-Trait Anxiety Inventory (STAI), which consists of 2 self-report scales assessing anxiety as a state (STAI-S) or trait (STAI-T), and the Beck Depression Inventory II (BDI-II), respectively. It is expected to find improvements in scores following combined training intervention. This will be verified using data analysis methods through means and standard deviations. The homogeneity and normality of the data will be assessed with Levene's and Shapiro-Wilk tests. For normally distributed data, linear mixed models with group effect, time, and group x time interaction will be used. For non-normally distributed data, generalized estimating equations will be applied. Outcomes will be evaluated according to the intention-to-treat principle. For inferential analysis, the significance level will be 5%. Data will be analyzed using the Statistical Package for the Social Sciences (SPSS), version 23.0 | — |
Countries
Brazil
Contacts
Hospital de Clínicas de Porto Alegre