Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

9.3K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.3K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

390
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
390
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

1.5K
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
1.5K
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

370
Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
370
Study Design in Statistics01:15

Study Design in Statistics

10.3K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.3K
Group Design02:01

Group Design

11.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
11.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Prevention of Heart Failure in Women: An Expert Consensus Statement on Sex-Specific Risk Factors.

European journal of heart failure·2026
Same author

Management of pregnancy in women with rare multisystemic vascular diseases: a qualitative survey analysis.

Orphanet journal of rare diseases·2026
Same author

Ultrafast ultrasound shear wave elastography: a novel approach for assessing myocardial stiffening in congenital aortic stenosis.

Open heart·2026
Same author

Left Ventricular Strain-Volume Loops in a Healthy Population: The Role of Sex and Age.

Echocardiography (Mount Kisco, N.Y.)·2026
Same author

Prognostic value of left atrial strain in ACHD patients with right-sided cardiac pathology.

Open heart·2026
Same author

Sex differences in the diagnosis, management and outcomes of patients with infective endocarditis.

Open heart·2026

Related Experiment Video

Updated: Apr 3, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.9K

Randomized study designs for lifestyle interventions: a tutorial.

John O Younge1, Tessa A Kouwenhoven-Pasmooij2, Rosanne Freak-Poli3

  • 1Department of Epidemiology, Department of Cardiology, Erasmus Medical Centre, Rotterdam, The Netherlands.

International Journal of Epidemiology
|September 18, 2015
PubMed
Summary

Evaluating lifestyle interventions requires rigorous randomized controlled trials. This tutorial guides selecting optimal trial designs to address challenges like patient preference and non-adherence for effective health behavior change.

Keywords:
Lifestyle interventionrandomized controlled trialstudy designtutorial

More Related Videos

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

4.3K
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

7.4K

Related Experiment Videos

Last Updated: Apr 3, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

12.9K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

4.3K
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

7.4K

Area of Science:

  • Public Health
  • Behavioral Science
  • Clinical Trials

Background:

  • Unhealthy lifestyle behaviors are key modifiable risk factors for numerous diseases.
  • Effective lifestyle interventions require rigorous evaluation to confirm their impact.
  • Randomized controlled trials (RCTs) are essential for intervention assessment.

Purpose of the Study:

  • To provide guidance on selecting optimal randomized controlled trial designs for lifestyle interventions.
  • To address challenges in lifestyle intervention research, including patient preference and adherence.
  • To improve the quality and validity of future lifestyle intervention trials.

Main Methods:

  • This tutorial focuses on the principles and considerations for designing RCTs for lifestyle interventions.
  • It discusses potential threats to internal and external validity specific to lifestyle studies.
  • Guidance is offered on adapting RCT designs to accommodate the complexities of behavior change.

Main Results:

  • The abstract does not present specific results but outlines the need for methodological guidance.
  • It highlights common issues in lifestyle intervention RCTs, such as patient preference and non-adherence.
  • The demand for high-quality RCTs in this field is emphasized.

Conclusions:

  • Optimal RCT design is crucial for accurately evaluating lifestyle interventions.
  • Addressing complexities like patient preference and adherence is vital for study validity.
  • This tutorial aims to equip researchers with the knowledge to design robust trials for promoting healthy lifestyles.