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.

Choosing Wisely and Promoting High-Value Care and Staff Safety During the COVID-19 Pandemic in a Large Safety Net System.

BACKGROUND AND OBJECTIVES: As the COVID-19 pandemic brought surges of hospitalized patients, it was important to focus on reducing overuse of tests and procedures to not only reduce potential harm to patients but also reduce unnecessary exposure to staff. The objective of this study was to create a Choosing Wisely in COVID-19 list to guide clinicians in practicing high-value care at our health system. METHODS: A Choosing Wisely in COVID-19 list was developed in October 2020 by an interdisciplinary High Value Care Council at New York City Health + Hospitals, the largest public health system in the United States. The first phase involved gathering areas of overuse from interdisciplinary staff across the system. The second phase used a modified Delphi scoring process asking participants to rate recommendations on a 5-point Likert scale based on criteria of degree of evidence, potential to prevent patient harm, and potential to prevent staff harm. RESULTS: The top 5 recommendations included avoiding tracheal intubation without trial of noninvasive ventilation (4.4); not placing routine central venous catheters (4.33); avoiding routine daily laboratory tests and batching laboratory draws (4.19); not ordering daily chest radiographs (4.17); and not using bronchodilators in the absence of reactive airway disease (4.13). CONCLUSION: We successfully developed Choosing Wisely in COVID-19 recommendations that focus on evidence and preventing patient and staff harm in a large safety net system to reduce overuse.

Disaggregating Asian Race Reveals COVID-19 Disparities Among Asian American Patients at New York City's Public Hospital System.

OBJECTIVES: Data on the health burden of COVID-19 among Asian American people of various ethnic subgroups remain limited. We examined COVID-19 outcomes of people of various Asian ethnic subgroups and other racial and ethnic groups in an urban safety net hospital system. METHODS: We conducted a retrospective analysis of 85 328 adults aged ≥18 tested for COVID-19 at New York City's public hospital system from March 1 through May 31, 2020. We examined COVID-19 positivity, hospitalization, and mortality, as well as demographic characteristics and comorbidities known to worsen COVID-19 outcomes. We conducted adjusted multivariable regression analyses examining racial and ethnic disparities in mortality. RESULTS: Of 9971 Asian patients (11.7% of patients overall), 48.2% were South Asian, 22.2% were Chinese, and 29.6% were in other Asian ethnic groups. South Asian patients had the highest rates of COVID-19 positivity (30.8%) and hospitalization (51.6%) among Asian patients, second overall only to Hispanic (32.1% and 45.8%, respectively) and non-Hispanic Black (27.5% and 57.5%, respectively) patients. Chinese patients had a mortality rate of 35.7%, highest of all racial and ethnic groups. After adjusting for demographic characteristics and comorbidities, only Chinese patients had significantly higher odds of mortality than non-Hispanic White patients (odds ratio = 1.44; 95% CI, 1.04-2.01). CONCLUSIONS: Asian American people, particularly those of South Asian and Chinese descent, bear a substantial and disproportionate health burden of COVID-19. These findings underscore the need for improved data collection and reporting and public health efforts to mitigate disparities in COVID-19 morbidity and mortality among these groups.