Ecological Momentary Assessment of Behavioral and Psychosocial Predictors of Weight Loss Following Bariatric Surgery

NCT ID: NCT02777177

Last Updated: 2022-06-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

92 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-05-04

Study Completion Date

2019-03-21

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Bariatric surgery is a powerful tool for producing significant and durable weight loss. Yet, not all patients achieve initial weight loss success and many patients have weight regain as early as 1-2 years post-surgery. Suboptimal weight loss patterns not fully explained by surgical, demographic, and medical factors has led to greater emphasis on patient behaviors evidenced by clinical guidelines that focus on appropriate eating and physical activity. However, research to inform such guidelines typically has relied on imprecise measures or not been specific to bariatric surgery. There is also little understanding of mechanisms by which psychosocial factors influence outcomes. Thus, there is a need to: (a) measure behaviors and psychosocial factors thought to be related to surgical outcomes (particularly those emphasized in guidelines) using innovative strategies to maximize data quality, (b) determine which behaviors and psychosocial factors are related to outcomes, and (c) explore how psychosocial factors influence weight both directly and via influences on behavior. Our research team was the first to employ innovative mobile health (mHealth) technology within an Ecological Momentary Assessment (EMA) framework to measure adherence to recommended behaviors at 6 months post-surgery. The investigators propose to build on this work by using EMA to measure behavioral, psychosocial, and environmental factors over a longer period to understand how they predict success and risk after surgery. An NIH-funded multi-sensor PiLR HEALTH platform will integrate objective sensor data measuring behaviors and the environments in which they are performed with self-report information collected via smartphone in real-time and in patients' natural environment. Participants (N=100) recruited from 2 ASMBS-designated centers of excellence will complete a 10-day EMA protocol pre-surgery and at 3, 6, and 12 months post-surgery to assess recommended behaviors \[e.g., meal frequency, PA\], psychosocial indicators with the most prior evidence of an association with surgical outcomes (e.g., mood/depression), and key environmental factors (e.g., type/quality of the food environment). Participants will also be weighed at the above time points. Along with describing patterns in behaviors and their relation to weight loss, the investigators will test causal models to understand how complex systems of behavioral, psychosocial, and environmental factors affect weight loss, and to identify optimal targets for intervention. This project has the potential to build a much more sophisticated and valid understanding of who is and is not successful after bariatric surgery and why. This new understanding will directly contribute to improved (i.e., specific, consistent, and validated) guidelines for recommended pre and postoperative behaviors, which could lead to improved surgical outcomes. The enhanced understanding will also inform behavioral, psychosocial, and environmental targets for intervention that are mostly likely to improve surgical outcomes.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Obesity

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Body mass index of at least 35 kg/m-squared

Exclusion Criteria

* Currently involved in a weight loss or related behavioral form of treatment outside the context of standard surgical care
* Any condition that in the opinion of the investigators would preclude adherence to the measurement protocol, including plans to relocate, substance abuse or other significant psychiatric problems, or terminal illness
Minimum Eligible Age

21 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

The Miriam Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

John Graham Thomas

Associate Professor (Research)

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Beth Israel Deaconess Medical Center

Boston, Massachusetts, United States

Site Status

Miriam Hospital Weight Control and Diabetes Resarch Center

Providence, Rhode Island, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

Bond DS, Smith KE, Schumacher LM, Vithiananthan S, Jones DB, Papasavas P, Webster J, Thomas JG. Associations of daily weight management-focused social support with weight loss, activity behaviors, and eating regulation in the context of metabolic and bariatric surgery. Obes Sci Pract. 2023 Nov 10;10(1):e717. doi: 10.1002/osp4.717. eCollection 2024 Feb.

Reference Type DERIVED
PMID: 38263993 (View on PubMed)

Goldstein SP, Thomas JG, Vithiananthan S, Blackburn GA, Jones DB, Webster J, Jones R, Evans EW, Dushay J, Moon J, Bond DS. Multi-sensor ecological momentary assessment of behavioral and psychosocial predictors of weight loss following bariatric surgery: study protocol for a multicenter prospective longitudinal evaluation. BMC Obes. 2018 Nov 5;5:27. doi: 10.1186/s40608-018-0204-6. eCollection 2018.

Reference Type DERIVED
PMID: 30410772 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

R01DK108579

Identifier Type: NIH

Identifier Source: org_study_id

View Link

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.