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Clinical Psychology: Treating Depression with Exercise

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  1. Introduction to Major Depressive Disorder and Standard Treatments
    3 Kappaleet
  2. Exercise as a Treatment for Depression
    3 Kappaleet
  3. Comparing Exercise to Standard Treatments
    3 Kappaleet
  4. Research Methods in Clinical Psychology
    4 Kappaleet
  5. Understanding Study Biases in Clinical Research
    4 Kappaleet
Luku Edistyminen
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A Randomized Controlled Trial (RCT) is a type of scientific study used to test how well a medical or psychological treatment works. In clinical psychology, RCTs are considered the ”gold standard” for research. This means they are the most reliable way to find out if a treatment, like an exercise program, actually reduces symptoms of depression.

Key Components of an RCT

To understand how an RCT works, you need to know its three main parts:

  • Random Assignment: Participants are put into different groups by chance, like flipping a coin. This ensures that the groups are as similar as possible before the study begins. It prevents researchers from accidentally putting all the healthier or more motivated participants into one group.
  • The Experimental Group: This group receives the new treatment being tested. In our context, this group might participate in a 12-week strength training or yoga program.
  • The Control Group: This group does not receive the new treatment. Instead, they might receive a standard treatment (like CBT or SSRIs), a placebo (a fake treatment), or be placed on a waitlist. Comparing the experimental group to the control group shows whether the new treatment actually made a difference.

Why are RCTs the Gold Standard?

In psychology entrance exams, you will often be asked why researchers choose one method over another. RCTs are highly valued because they allow researchers to establish cause and effect.

Because participants are randomly assigned, the only major difference between the groups is the treatment they receive. If the experimental group shows a significant decrease in depressive symptoms compared to the control group, researchers can confidently say the treatment caused the improvement. Randomization helps eliminate confounding variables—outside factors like age, diet, or prior fitness levels that could secretly affect the results.

Example: Testing Exercise for Depression

Imagine a researcher wants to know if running is as effective as taking SSRIs for treating major depressive disorder.

  1. The Setup: The researcher gathers 100 participants diagnosed with depression.
  2. Randomization: A computer randomly assigns 50 participants to the running group and 50 to the SSRI group.
  3. The Variables:
    • The Independent Variable (what the researcher changes) is the type of treatment (running vs. SSRIs).
    • The Dependent Variable (what the researcher measures) is the level of depression symptoms after the study.
  4. The Result: After 12 weeks, the researcher measures the depression levels of both groups to see which treatment worked better.

Entrance Exam Focus

When preparing for your psychology entrance exams, keep these points in mind:

  • Cause and Effect: Only experimental designs like RCTs can prove that a treatment causes a change in symptoms. Observational studies cannot do this.
  • Independent vs. Dependent Variables: Always be able to identify what is being manipulated (the treatment) and what is being measured (the depression score).
  • The Role of Randomization: Remember that random assignment is the tool used to control for hidden variables and make the groups equal at the start of the study.