U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset.

BACKGROUND: Obesity is a major public health challenge in the U.S. Existing datasets utilized for calculating obesity prevalence, such as the National Health and Nutrition Examination Survey (NHANES) and Behavioral Risk Factor Surveillance System (BRFSS), have limitations. Our objective was to analyze weight trends in the U.S. using a nationally representative dataset that incorporates longitudinal electronic health record data. METHODS: Using the National Institutes of Health All of Us Research Program (AoU) dataset, we identified patients aged 18-70 years old who had at least two height and weight measurements within a 5-year period from 2008 to 2021. Baseline and most recent BMI values were used to calculate total body weight (%TBW) changes. %TBW change predictors were determined using multivariable linear regression. RESULTS: We included 30,862 patients (mean age 48.9 [ ± 12.6] years; 60.5% female). At the 5-year follow-up, the prevalences of obesity and severe obesity were 37.4% and 20.7%, respectively. The frequency of patients with normal weight or overweight BMI who gained ≥5% TBW at follow-up was 37.8% and 33.1%, respectively. Nearly 24% of the cohort lost ≥ 5% TBW, and 6.5% with severe obesity lost weight to achieve a BMI < 30 kg/m2. In adjusted analyses, male sex (-1.10%, 95% CI [-1.36, -0.85]), non-Hispanic Asian race/ethnicity (-1.69% [-2.44, -0.94]), and type 2 diabetes (-1.58% [-1.95, -1.22]) were associated with weight loss, while obstructive sleep apnea (1.80% [1.40, 2.19]) was associated with weight gain. CONCLUSIONS: This evaluation of an NIH-partnered dataset suggests that patients are continuing to gain weight in the U.S. AoU represents a unique tool for obesity prediction, prevention, and treatment given its longitudinal nature and unique behavioral and genetic data.

Exploring Social Support Dynamics After Bariatric Surgery: Insights From Patients and Providers.

INTRODUCTION: Weight loss after bariatric surgery is impacted by several factors, and social support is one of them. Our objective was to characterize patient and provider perceptions about social support after bariatric surgery. METHODS: We reported a secondary analysis of qualitative data acquired from semi-structured interviews conducted from January-November 2020 with bariatric surgery patients and providers. Participants included primary care providers, health psychologists, registered dietitians, bariatric surgeons, and patients with at least 1 y of follow-up after their bariatric procedure. Interview guides were designed using a hybrid of Andersen's Behavioral Model of Health Services and Torain's Framework for Surgical Disparities. Using directed content analysis, study team members generated codes, which were categorized into themes about social support pertaining to dietary habits, physical activity, and follow-up care. RESULTS: Forty-five participants were interviewed, including 24 patients (83% female; 79% White; mean age 50.6 ± 10.7 y) and 21 providers (six primary care providers, four health psychologists, five registered dieticians, and six bariatric surgeons). We identified four themes relating to social support affecting weight loss after surgery: (1) family involvement in helping patients adjust to the bariatric diet, (2) engagement in activities with partners/friends, (3) help with transportation to appointments, and (4) life stressors experienced by patients within their social relationships. CONCLUSIONS: Continued assessment of interpersonal factors after bariatric surgery is essential for weight loss maintenance. Providers can contribute by reinforcing the facilitators of social support and making referrals that may help patients overcome barriers to social support for sustained weight loss after surgery.

Impact of COVID-19 on the Postoperative Bariatric Surgery Patient Experience.

OBJECTIVE: To characterize patient and provider perceptions of the impact of coronavirus disease 2019 (COVID-19) on weight loss following bariatric surgery. BACKGROUND: COVID-19 has disrupted routines and healthcare throughout the United States, but its impact on bariatric surgery patients' postoperative experience is unknown. METHODS: Semistructured interviews with bariatric surgery patients, primary care providers, and health psychologists were conducted from April to November 2020. As part of a secondary analysis, patients and providers described how the COVID-19 pandemic affected the postoperative experience within 3 domains: dietary habits, physical activity, and follow-up care. Interview guides were created from 2 conceptual models: Torain's Surgical Disparities Model and Andersen's Behavioral Model of Health Services Use. Study team members derived codes, which were grouped into themes using conventional content analysis. RESULTS: Thirty-four participants were interviewed: 24 patients (12 Roux-en-Y gastric bypass and 12 sleeve gastrectomy), 6 primary care providers, and 4 health psychologists. Patients were predominately female (83%) and White (79%). Providers were predominately female (90%) and White (100%). COVID-19 affected the postoperative bariatric surgery patient experience via 3 mechanisms: (1) it disrupted dietary and physical activity routines due to facility closures and fear of COVID-19 exposure; (2) it required patients to transition their follow-up care to telemedicine delivery; and (3) it increased stress due to financial and psychosocial challenges. CONCLUSIONS: COVID-19 has exacerbated patient vulnerability. The pandemic is not over, thus bariatric surgery patients need ongoing support to access mental health professionals, develop new physical activity routines, and counteract increased food insecurity.

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. METHODS: Seven machine learning models were assessed, including three regression models, random forest, single-layer neural network, gradient-boosted decision trees, and support vector machine (SVM) models. Four categories of predictors were included: 1) demographics; 2) obesity-related health conditions; 3) laboratory data and vital signs; and 4) neighborhood-level variables. The cohort was split 60:40 for model training and validation. Area under the receiver operating characteristic curves (AUC) were calculated to determine model accuracy at predicting high-risk individuals, defined by ≥ 10% total body weight gain within 2 y. Variable importance was measured via generalized analysis of variance procedures. RESULTS: Of the 24,183 patients (mean [SD] age, 32.0 [6.3] y; 55.1% females) in the study, 14.2% gained ≥10% total body weight. Area under the receiver operating characteristic curves varied from 0.557 (SVM) to 0.675 (gradient-boosted decision trees). Age, sex, and baseline body mass index were the most important predictors among the models except SVM and neural network. CONCLUSIONS: Our machine learning models performed similarly and had modest accuracy for identifying young adults at risk of weight gain. Future models may need to incorporate behavioral and/or genetic information to enhance model accuracy.

Patient and Provider Perceptions About Communication After Bariatric Surgery: A Qualitative Analysis.

INTRODUCTION: Communication between patients and providers can strongly influence patient behavior after surgery. The objective of this study was to assess patient and provider perceptions of how communication affected weight-related behaviors after bariatric surgery. MATERIALS AND METHODS: Semistructured interviews with bariatric surgery patients and providers were conducted from April-November 2020. Patients who had Medicaid within 3 y of surgery were defined as socioeconomically disadvantaged. Interview guides were derived from Andersen's Behavioral Model of Health Services and Torain's Framework for Surgical Disparities. Participants described postoperative experiences regarding diet, physical activity, and follow-up care. A codebook was developed deductively based on the two theories. Directed content analysis identified themes pertaining to patient-provider communication. RESULTS: Forty-five participants were interviewed, including 24 patients (83% female; 79% White), six primary care providers, four health psychologists, five registered dietitians, and six bariatric surgeons. Four themes regarding communication emerged: (1) Patients experiencing weight regain did not want to follow-up with providers to discuss their weight; (2) Patients from socioeconomically disadvantaged backgrounds had less trust and required more rapport-building from providers to enhance trust; (3) Patients felt that providers did not get to know them personally, which was perceived as a lack of personalized communication; and (4) Providers often changed their language to be simpler, so patients could understand them. CONCLUSIONS: Patient-provider communication after bariatric surgery is essential, but perceptions about the elements of communication differ between patients and providers. Reassuring patients who have attained less weight loss than expected and establishing trust with socioeconomically vulnerable patients could strengthen care after bariatric surgery.

Racial disparities in selected micronutrient deficiencies after bariatric surgery: A systematic review.

BACKGROUND: Bariatric surgery has been associated with numerous micronutrient deficiencies. Several observational studies have found that these deficiencies are more common in racially/ethnically minoritized patients. OBJECTIVES: To conduct a systematic review to investigate whether racially/ethnically minoritized patients experience worse nutritional outcomes after bariatric surgery. SETTING: University of Wisconsin-Madison. METHODS: PubMed, CINAHL, PsychINFO, and Cochrane databases were queried. We searched for manuscripts that reported micronutrient levels or conditions related to micronutrient deficiencies according to race/ethnicity (White, African American/Black, and Hispanic) after laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass between 2002 and 2022. Eleven micronutrients (vitamins A, B1 [thiamine], B12, D, E, K, calcium, copper, folate, iron, and zinc), and four conditions (anemia, bone loss, fractures, and hyperparathyroidism) were assessed. RESULTS: Abstracts from 953 manuscripts were screened; 18 full-text manuscripts were reviewed for eligibility, and ten met the inclusion criteria. Compared to White patients, African Americans had a higher prevalence of thiamine, vitamin D, and vitamin A deficiencies. There were no differences in calcium and vitamin B12 deficiencies. The other six micronutrients were not assessed according to race/ethnicity. Hyperparathyroidism was more prevalent in African Americans than White patients in the three studies that evaluated it. The prevalence of fractures was mixed. Anemia and bone loss were not evaluated according to race/ethnicity. CONCLUSIONS: Although the literature on micronutrient outcomes following bariatric surgery according to race/ethnicity is limited, African Americans appear to experience a higher prevalence of vitamin deficiencies and associated conditions. Qualitative and quantitative research to explore these disparities is warranted.

Optimization of the Electronic Health Record for Research.

Mini Abstract This surgical perspective highlights the current limitations of utilizing the electronic health record for research and discusses directions for future optimization.

Socioeconomic disparities and bariatric surgery outcomes: A qualitative analysis.

BACKGROUND: Disparities in socioeconomic status (SES) have been associated with less weight loss after bariatric surgery. The objective of this study was to identify socioeconomic barriers to weight loss after bariatric surgery. METHODS: We performed semi-structured interviews with bariatric surgery patients and providers from April-November 2020. Participants were asked to describe their post-operative experiences regarding dietary habits, physical activity, and follow-up care. Interview data were coded using Directed Content Analysis based on domains in Andersen's Behavioral Model of Health Services Use and Torain's Surgical Disparities Model. RESULTS: 24 patients (median of 4.1 years post-operatively; mean age 50.6 ± 10.7 years; 12 bypass and 12 sleeve; 83% female) and 21 providers (6 bariatric surgeons, 5 registered dietitians, 4 health psychologists, and 6 primary care providers) were interviewed. Barriers to weight loss included: 1) challenging employment situations; 2) limited income; 3) unreliable transportation; 4) unsafe/inconvenient neighborhoods; and 5) limited health literacy. CONCLUSIONS: Interventions targeting socioeconomic barriers to weight loss are needed to support patients, particularly those who are socioeconomically disadvantaged.

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. METHODS: In this retrospective cohort study, all patients who underwent primary bariatric surgery from 2008 to 2017 and had at least 1 year of follow-up data were included. Patient-level demographics and neighborhood-level social determinants (area deprivation index, urbanicity, and walkability) and lifestyle factors (organic food use, fresh fruit/vegetable consumption, diet to maintain weight, soda consumption, and exercise) were analyzed. Median regression with percent total body weight (%TBW) loss as the outcome was applied to examine factors associated with weight loss after surgery. RESULTS: Of the 647 patients who met inclusion criteria, the average follow-up period was 3.1 years, and the mean %TBW loss at the follow-up was 22%. In adjusted median regression analyses, Roux-en-Y gastric bypass was associated with greater %TBW loss (11.22%, 95% confidence interval [8.96, 13.48]) compared to sleeve, while longer follow-up time (-2.42% TBW loss per year, 95% confidence interval [-4.63, -0.20]) and a preoperative diagnosis of diabetes (-1.00% TBW loss, 95% confidence interval [-1.55, -0.44]) were associated with less. None of the 8 neighborhood level characteristics was associated with weight loss. CONCLUSIONS: Patient characteristics rather than neighborhood-level social determinants and lifestyle factors were associated with weight loss after bariatric surgery in our cohort of bariatric surgery patients. Patients from socioeconomically deprived neighborhoods can achieve excellent weight loss after bariatric surgery.