Understanding family dynamics of obesity: Do parents and children lose and gain weight together?

BACKGROUND: Obesity is prevalent among children and adults. Yet, understanding the relationship between parent and child weight trajectories is limited. OBJECTIVE: (1) Examine the association between parent/child undesirable body mass index (BMI) category change. (2) Assess whether parental BMI category predicts child modified BMI z-score (mBMIz) annual change. METHODS: We conducted a cross-sectional study of weight trajectories of 3821 parent-child dyads between March 2020 and December 2021 within the NYC Health + Hospitals system. Undesirability of child and parental BMI category change and the magnitude of mBMIz change by parental BMI are analysed. RESULTS: Of 3821 children (mean [SD] baseline age, 9.84 [3.51]), 1889 were female. Of the 3220 parents (mean [SD] baseline age, 39.9 [8.51]), 2988 were female. Most children (53.52%) and parents (81.94%) presented with overweight and obesity. Undesirable BMI change in children was associated with concordant change in parents (adjusted OR: 1.7, 95% CI [1.45, 2.01], adjusted p < 0.001). Children of parents with obesity (adjusted coef: 0.076, 95% CI [0.004, 0.147], p < 0.038) and severe obesity (adjusted coef: 0.1317, 95% CI [0.024, 0.239], adjusted p < 0.016) demonstrated greater change in mBMIz than those of parents with normal weight or underweight. CONCLUSION: Parents and children have concordant weight trajectories, and public health interventions targeting both populations are essential.

Systematic analysis of proteome turnover in an organoid model of pancreatic cancer by dSILO.

The role of protein turnover in pancreatic ductal adenocarcinoma (PDA) metastasis has not been previously investigated. We introduce dynamic stable-isotope labeling of organoids (dSILO): a dynamic SILAC derivative that combines a pulse of isotopically labeled amino acids with isobaric tandem mass-tag (TMT) labeling to measure proteome-wide protein turnover rates in organoids. We applied it to a PDA model and discovered that metastatic organoids exhibit an accelerated global proteome turnover compared to primary tumor organoids. Globally, most turnover changes are not reflected at the level of protein abundance. Interestingly, the group of proteins that show the highest turnover increase in metastatic PDA compared to tumor is involved in mitochondrial respiration. This indicates that metastatic PDA may adopt alternative respiratory chain functionality that is controlled by the rate at which proteins are turned over. Collectively, our analysis of proteome turnover in PDA organoids offers insights into the mechanisms underlying PDA metastasis.

Medical weight management protects against weight gain during the COVID-19 pandemic.

Background: American adults have gained weight during the COVID-19 pandemic. Little is known about how patients who are medically managed for overweight and obesity, including patients who are prescribed antiobesity pharmacotherapy, have fared. Objective: To assess the COVID-19 pandemic's effect on weight, food choices, and health behaviors in patients receiving medical treatment for overweight or obesity. Methods: Adult patients treated at an urban academic weight management center between 1 May 2019 and 1 May 2020 were electronically surveyed between 23 February and 23 March 2021. The survey assessed changes in weight, eating, behaviors, and the use of antiobesity medications (AOMs) following issuance of social distancing/stay-at-home policies in March 2020. Results: In 970 respondents, median percent weight change for those taking AOMs was -0.459% [interquartile range -5.46%-(+3.73%)] compared to +2.33% [IQR -1.92%-(+6.52%)] for those not taking AOMs (p < 0.001). More participants achieved ≥5% weight loss if they were taking AOMs compared to those who were not (26.7% vs. 15.8%, p = 0.004), and weight gain ≥5% was also lower in those taking AOMs (19.8% vs. 30.3%, p = 0.004). Patients with pre-pandemic BMI ≥30 kg/m2 taking AOMs experienced the greatest weight reduction, and there was greater weight loss associated with increased physical activity. Conclusions and Relevance: Medical weight management protected against weight gain during this period of the COVID-19 pandemic. Increased physical activity, decreased alcohol intake, and use of AOMs were factors that contributed to this protective effect.

Weight Loss Outcomes With Telemedicine During COVID-19.

Background: Amidst the COVID-19 pandemic, telemedicine was rapidly implemented to maintain patient care during quarantine. However, there is little data on how this transition may have impacted weight loss outcomes and interventions among patients with overweight or obesity. Methods: This was a retrospective observational study of adults who established care for medically managed obesity at the Weill Cornell Comprehensive Weight Control Center during September-November 2019 and May-July 2020 and who completed 6 months of follow-up. Weight loss outcomes and weight management interventions were explored and stratified by patient-provider interaction: in-person visits only, in-person and video visits, and video visits only. Results: Of 499 charts eligible for review, 245 (49%) returned for their 6-month follow-up visit and were included for analysis. Of 245 patients, 69 had in-person visits only ("in-person"), 85 started in-person and later switched to video visits ("hybrid"), and 91 had video visits only ("video"). All cohorts were predominantly white and female. Median ages were 56, 49, and 49 years; baseline median weights were 98.9, 96.8, and 93.0 kg; and baseline median BMIs were 35.3, 34.4, and 34.0 kg/m2 for in-person, hybrid, and video cohorts, respectively. The median percent weight changes over 6 months were not significantly different among cohorts: -4.3% [-8.5, -1.5] in the in-person cohort, -5.6% [-8.7, -2.2] in the hybrid group, and -5.8% [-9.7, -2.4] in the video cohort. The percent of patients who achieved ≥5% weight loss were also similar: 46.4%, 55.3%, and 59.3%, respectively. The median number of visits in the video cohort was more than in the in-person or hybrid groups (5 vs. 4). Median number of anti-obesity medications (AOMs) prescribed was similar among groups. The most common AOMs were metformin (all cohorts) followed by semaglutide 1.0 mg (in-person and video) or topiramate (hybrid). Conclusion: Patients on anti-obesity medications who were followed for 6 months via video or video plus in-person visits (hybrid) experienced clinically significant weight loss. Median number of AOMs were similar among groups, and the most common AOMs were metformin, semaglutide 1.0 mg, and topiramate. More investigation is required to compare telemedicine models with in-person care.