Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

Introduction: Weight gain among young adults continues to increase. Identifying adults at high risk for weight gain and intervening before they gain weight could have a major public health impact. Our objective was to develop and test electronic health record-based machine learning models to predict weight gain in young adults with overweight/class 1 obesity.

Association between neighborhood food environments and bariatric surgery outcomes.

Background: Individual characteristics associated with weight loss after bariatric surgery are well established, but the neighborhood characteristics that influence outcomes are unknown.

Objectives: The objective of this study was to determine if neighborhood characteristics, including social determinants and lifestyle characteristics, were associated with weight loss after bariatric surgery.

Setting: Single university healthcare system, United States.

Obesity and "obesity-related" cancers: are there body mass index cut-points?

Background: Despite compelling links between excess body weight and cancer, body mass index (BMI) cut-points, or thresholds above which cancer incidence increased, have not been identified. The objective of this study was to determine if BMI cut-points exist for 14 obesity-related cancers.

Subjects/methods: In this retrospective cohort study, patients 18-75 years old were included if they had ≥2 clinical encounters with BMI measurements in the electronic health record (EHR) at a single academic medical center from 2008 to 2018.

Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study.

Background: Studies have found associations between increasing BMIs and the development of various chronic health conditions. The BMI cut points, or thresholds beyond which comorbidity incidence can be accurately detected, are unknown.

Objective: The aim of this study is to identify whether BMI cut points exist for 11 obesity-related comorbidities.

Patient Experiences, Satisfaction, and Expectations with Current Systemic Lupus Erythematosus Treatment: Results of the SLE-UPDATE Survey.

Objectives: To provide information on systemic lupus erythematosus (SLE) patients' experiences, satisfaction, and expectations with treatments and examine the association between treatment satisfaction and patient-reported outcomes (PRO).

Methods: A cross-sectional, non-interventional, online survey of US adult patients with SLE was conducted in 2019. The survey consisted of 104 questions about SLE and the following PRO instruments: LupusPRO™, Functional Assessment of Chronic Illness Therapy (FACIT) Fatigue, Work Productivity and Activity Impairment (WPAI), an 11-point Worst Pain Numerical Rating scale (NRS), and an 11-point Worst Joint Pain NRS.