Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity.
Kellie B ScottiMelinda RajoriaMontserrat Carrera SeoaneKathryn M RossSofia MuenyiMegan A McVayPublished in: Clinical obesity (2024)
Most adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m 2 (or 25-30 kg/m 2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burden weight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m 2 ), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.
Keyphrases
- weight gain
- weight loss
- body mass index
- randomized controlled trial
- physical activity
- birth weight
- bariatric surgery
- healthcare
- roux en y gastric bypass
- end stage renal disease
- gastric bypass
- ejection fraction
- health insurance
- metabolic syndrome
- deep learning
- chronic kidney disease
- primary care
- big data
- machine learning
- social media
- risk assessment
- obese patients
- middle aged
- artificial intelligence
- nursing students
- health information
- sleep quality