Weight-reduction preferences among OBSERVE study participants with obesity or overweight: opportunities for shared decision-making.
Academic Article
Overview
abstract
OBJECTIVE: Limited recent evidence exists regarding weight-reduction preferences among people with obesity in the United States (US). We assessed preferred magnitudes of weight reduction among adults with obesity and how these preferences differ by participant characteristics. METHODS: OBSERVE was a cross-sectional study assessing perceptions of obesity and anti-obesity medication (AOMs) among people with obesity, healthcare providers, and employers in the US. Adults with obesity and overweight with obesity-related complications self-reported current weight and weight they associated with 5 preferences ("dream," "goal," "happy," "acceptable," and "disappointed"). Preferred percent weight reductions for each preference were calculated. Multivariable regression analyses were performed identifying associations between weight-reduction preferences and participant characteristics. RESULTS: The study included 1007 participants (women: 63.6%; White: 41.0%; Black or African American: 28.9%; Asian: 6.5%; Hispanic: 15.3%; median body mass index [BMI]: 34.2 kg/m2). Median preferred percent weight reductions were: dream=23.5%; goal=16.7%; happy=14.6%; acceptable=10.3%; disappointed=4.8%. Women reported higher preferred weight reductions than men. Preferred weight reductions among Black/African American participants were lower than White participants. Regression analyses indicated significant associations, with higher preferred magnitudes of weight reduction within females, higher weight self-stigma, and BMI class in Hispanic participants compared to White. CONCLUSION: In this large, real-world study, preferred magnitudes of weight reduction exceeded outcomes typically achieved with established nonsurgical obesity treatments but may be attained with bariatric procedures and newer and emerging AOMs. Respecting patients' preferences for treatment goals with obesity management could help support shared decision-making. Evaluating for an individual's contributors to weight preferences, such as weight self-stigma, can further benefit holistic obesity care.
