The Lasting Change Study

January 31, 2023 updated by: Michael Snyder, Stanford University

The Stanford Lasting Change Study

The study approach is to leverage the most cutting-edge techniques of multi-omics biology, wearable physiology, and digital real-time psychology profiling and using machine learning models to understand the mechanisms underlying the strategies and techniques that enable participants the power to initiate and maintain sustainable behavior change.

Over the years, millions of people worldwide have attended immersive personal development seminars aiming to improve participants' health behaviors and wellness. Nevertheless, there's a scarcity of large-scale studies to assess their effects on behavior change and investigate their mechanism of action. A recent publication by the Science of Behavior Change Program (SOBC), launched by the National Institute of Health (NIH), recognized that: "science has not yet delivered a unified understanding of basic mechanisms of behavior change across a broad range of health-related behaviors, limiting progress in the development and translation of effective and efficacious behavioral intervention." As such, understanding the mechanisms underlying sustainable behavior change is key. The Date With Destiny (DWD) seminar is among the largest worldwide, and tens of thousands of people have already attended and testified to its transformative effect.

The main objective of the study is to uncover the underlying mechanism of behavior change through longitudinal data collection of psychometrics Ecological Momentary Assessments, physiology (wearables), and biology (multi-omics) in study participants.

The study specific objectives include: (1) To evaluate the impact of DWD on sustainable behavior change; (2) To investigate the mechanism of behavior change by collecting longitudinal real-time measurements of psychometrics (e.g., Ecological Momentary Assessments [EMA]), physiological (e.g., heart rate, blood oxygen level, breathing rate, and EDA), and biological (multi-omics analyses) features in study participants; (3) To assess the effect of the DWD on professional fulfillment, resilience, and mental wellness.

Study Overview

Detailed Description

The work is done partly as the doctorate thesis of Ziv Lautman (Stanford University, Department of Genetics).

Study Type

Observational

Enrollment (Anticipated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • California
      • Palo Alto, California, United States, 94305
        • Stanford University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Individuals that voluntarily chose to participate in DWD seminar.

Description

Inclusion Criteria:

  • 18-years-old and older
  • English speaker
  • Live in the US
  • Participate in the DWD seminar (December 2-7, 2022)

Exclusion Criteria:

  • Any physical or mental condition that limits the ability to participate in the study (e.g., answering e-questionnaires and wearing an electronic device)
  • Serious active comorbidity or terminal illness
  • Pregnancy
  • Participation in any other clinical study focusing on psychological or behavioral intervention.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
DWD participants
Individuals that voluntarily chose to participate in DWD seminar.
6 days of immersive seminar

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mental performance biomarker index
Time Frame: one-year
An algorithm will be used to create an index score using known biomarkers (psychosocial, physiological, and biological) related to participants' personalized mental performance. Higher index scores will indicate a better mental performance index.
one-year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in participant mental wellness score
Time Frame: baseline through year one
Mental wellness scores rated by participants
baseline through year one
Participant resilence score
Time Frame: baseline through year one
Resilience scores rated by participants
baseline through year one
Participant professional fullfilment score
Time Frame: baseline through year one
Professional fulfillment scores rated by participants
baseline through year one
Participant self efficacy score
Time Frame: baseline through year one
Self-efficacy scores rated by participants
baseline through year one
Participant quality of life score
Time Frame: baseline through year one
Quality of life scores rated by participants
baseline through year one
Participant stress score
Time Frame: baseline through year one
Stress scores rated by participants
baseline through year one
Participant mindset score
Time Frame: baseline through year one
Mindset growth scores rated by participants
baseline through year one
Participant goals achievement score
Time Frame: baseline through year one
Goal achievement scores rated by participants
baseline through year one
Participant human needs score
Time Frame: baseline through year one
Human needs fulfillment scores rated by participants
baseline through year one

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Mike Snyder, PhD, Stanford University
  • Principal Investigator: Shahar Lev-Ari, PhD, Stanford University & Tel-Aviv University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

November 30, 2022

Primary Completion (ANTICIPATED)

December 1, 2023

Study Completion (ANTICIPATED)

December 1, 2023

Study Registration Dates

First Submitted

January 22, 2023

First Submitted That Met QC Criteria

January 31, 2023

First Posted (ACTUAL)

February 8, 2023

Study Record Updates

Last Update Posted (ACTUAL)

February 8, 2023

Last Update Submitted That Met QC Criteria

January 31, 2023

Last Verified

January 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 66491

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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