Using Technology to Investigate Lapses in a Weight Loss Program Among Individuals With Overweight and Obesity

Williams College

Status: Active, not recruiting

Conditions: Weight Loss; Obesity

Treatments: Behavioral: Behavioral weight loss program

Study type: Interventional

Funder types: Other

Identifiers

NCT06023537

2023-08

Details and patient eligibility

About

Approximately 70% of American adults have overweight/obesity, which increases risk of major medical issues and preventable death (Abdelaal et. al, 2017). Many individuals with overweight/obesity attempt to lose weight through behavioral strategies, e.g., adopting a reduced-calorie diet and/or increased physical activity. However, it is exceedingly difficult to consistently adhere to a reduced-calorie diet and high levels of physical activity; as such, most individuals attempting to lose weight via these methods experience repeated instances of non-adherence, i.e., dietary and physical activity lapses. These lapses are a core driver of weight loss failure, undermining individuals' ability to achieve weight control (Forman et al, 2017). As such, it is important to understand what predicts these lapses, which in turn allows for better lapse prevention. The current study proposes to measure these risk factors in an ecologically valid manner, i.e., in the moment they occur and in the context of individuals' everyday lives, using advanced technology. Specifically, the current study will use ecological momentary assessments (EMA; brief, repeated surveys delivered in one's natural environment, typically via a smartphone) and sensor technology (e.g., Fitbit and sensors on smartphone devices) to measure momentary risk factors of dietary and physical activity lapse, as well as the lapses themselves. Findings from this research project will lay the groundwork for a sophisticated just-in-time adaptive intervention (JITAI), a tailored, personalized intervention that targets momentary risk factors (e.g., cravings) via in-the-moment support, thereby reducing lapse occurrence and improving adherence to behavioral weight control prescriptions.

Enrollment: 100 estimated patients

Sex: All

Ages: 18 to 65 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Current BMI = 27-50 kg/m2
• Adult (aged 18-65)
• Lives in the United States
• Possession of a smartphone with a data plan that allows for app data collection
• Ability to understand and provide informed consent
• Proficiency in speaking, reading, and writing English

Exclusion criteria

• Presently involved in another weight loss program
• Currently pregnant or plan to become pregnant within the study period
• Have a medical condition or psychiatric symptoms that: may pose a risk to the participant during the program; cause a change in weight, appetite, or eating behavior; or limit ability to comply with the program
• Endorse eating disordered behavior, including loss of control (LOC) eating, or the subjective experience that one cannot control how much food he or she consumes
• Have experienced a recent (i.e., within the last 3 months) change in a weight-influencing medication

Trial design

Primary purpose: Treatment

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

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100 participants in 1 patient group

Behavioral Weight Loss Intervention

Experimental group

Treatment:

Behavioral: Behavioral weight loss program