Abstract

BackgroundBariatric surgery is currently the most effective strategy for producing significant and durable weight loss. Yet, not all patients achieve initial weight loss success and some degree of weight regain is very common, sometimes as early as 1–2 years post-surgery. Suboptimal weight loss not fully explained by surgical, demographic, and medical factors has led to greater emphasis on patient behaviors evidenced by clinical guidelines for appropriate eating and physical activity. However, research to inform such guidelines has often relied on imprecise measures or not been specific to bariatric surgery. There is also little understanding of what psychosocial factors and environmental contexts impact outcomes. To address research gaps and measurement limitations, we designed a protocol that innovatively integrates multiple measurement tools to determine which behaviors, environmental contexts, and psychosocial factors are related to outcomes and explore how psychosocial factors/environmental contexts influence weight. This paper provides a detailed description of our study protocol with a focus on developing and deploying a multi-sensor assessment tool to meet our study aims.MethodsThis NIH-funded prospective cohort study evaluates behavioral, psychosocial, and environmental predictors of weight loss after bariatric surgery using a multi-sensor platform that integrates objective sensors and self-report information collected via smartphone in real-time in patients’ natural environment. A target sample of 100 adult, bariatric surgery patients (ages 21–70) use this multi-sensor platform at preoperative baseline, as well as 3, 6, and 12 months postoperatively, to assess recommended behaviors (e.g., meal frequency, physical activity), psychosocial indicators with prior evidence of an association with surgical outcomes (e.g., mood/depression), and key environmental factors (e.g., type/quality of food environment). Weight also is measured at each assessment point.DiscussionThis project has the potential to build a more sophisticated and valid understanding of behavioral and psychosocial factors contributing to success and risk after bariatric surgery. This new understanding could directly contribute to improved (i.e., specific, consistent, and validated) guidelines for recommended pre- and postoperative behaviors, which could lead to improved surgical outcomes. These data will also inform behavioral, psychosocial, and environmental targets for adjunctive interventions to improve surgical outcomes.Trial registrationRegistered trial NCT02777177 on 5/19/2016.

Highlights

  • Bariatric surgery is currently the most effective strategy for producing significant and durable weight loss

  • While our preliminary studies indicated that mobile health technology is a promising avenue to measure eating and physical activity behaviors of bariatric surgery patients, there remains several key areas for growth

  • We evaluate bariatric surgery expectations and perceptions, as well as level of satisfaction with bariatric surgery outcomes as these factors can impact adherence to dietary and health goals [48, 49]

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Summary

Introduction

Bariatric surgery is currently the most effective strategy for producing significant and durable weight loss. Not all patients achieve initial weight loss success and some degree of weight regain is very common, sometimes as early as 1–2 years post-surgery. Suboptimal weight loss not fully explained by surgical, demographic, and medical factors has led to greater emphasis on patient behaviors evidenced by clinical guidelines for appropriate eating and physical activity. To address research gaps and measurement limitations, we designed a protocol that innovatively integrates multiple measurement tools to determine which behaviors, environmental contexts, and psychosocial factors are related to outcomes and explore how psychosocial factors/environmental contexts influence weight. Bariatric surgery produces approximately 30% weight loss over a period of 6–7 years [6, 7]. There is substantial individual variability in short- and long-term weight loss [6, 7]

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