School-level self-reported versus objective measurements of body mass index in public high school students.

Population-level surveillance of student weight status (particularly monitoring students with a body mass index (BMI) ≥95th percentile) remains of public health interest. However, there is mounting concern about objectively measuring student BMI in schools. Using data from the nation's largest school district, we determined how closely students' self-reported BMI approximates objectively-measured BMI, aggregated at the school level, to inform decision-making related to school BMI measurement practices. Using non-matched data from n = 82,543 students with objective height/weight data and n = 7676 with self-reported height/weight from 84 New York City high schools (88% non-white and 75% free or reduced-price meal-eligible enrollment), we compared school-level mean differences in height, weight, BMI, and proportion of students by weight status, between objective and self-reported measures. At the school-level, the self-reported measurement significantly underestimated weight (-1.38 kg; 95% CI: -1.999, -0.758) and BMI (-0.38 kg/m2; 95% CI: -0.574, -0.183) compared to the objective measurement. Based on the objective measurement, 12.1% of students were classified as having obesity and 6.3% as having severe obesity (per CDC definition); the self-report data yielded 2.5 (95% CI: -1.964, -0.174) and 1.4 (95% CI: -2.176, -0.595) percentage point underestimates in students with obesity and severe obesity, respectively. This translates to 13% of students with obesity and 21% of students with severe obesity being misclassified if using self-reported BMI. School-level high school students' self-reported data underestimate the prevalence of students with obesity and severe obesity and is particularly poor at identifying highest-risk students based on BMI percentile.

The impact of environmental injustice and social determinants of health on the role of air pollution in asthma and allergic disease in the United States.

There is clear evidence that exposure to environmental air pollution is associated with immune dysregulation, asthma, and other allergic diseases. However, the burden of air pollution exposure is not equally distributed across the United States. Many social and environmental factors place communities of color and people who are in poverty at increased risk of exposure to pollution and morbidity from asthma and allergies. Here, we review the evidence that supports the relationship between air pollution and asthma, while considering the social determinants of health that contribute to disparities in exposures and outcomes.

Increasing disparities in obesity and severe obesity prevalence among public elementary and middle school students in New York City, school years 2011-12 through 2019-20.

Recent national trends in the United States indicate a significant increase in childhood obesity, a major public health concern with documented physical and mental comorbidities and sociodemographic disparities. We aimed to estimate the prevalence of obesity and severe obesity among youth in New York City (NYC) before the COVID-19 pandemic and examine time trends overall and by key characteristics. We included all valid height and weight measurements of kindergarten through 8th grade public school students aged 5 to 15 from school years 2011-12 through 2019-20 (N = 1,370,890 unique students; 5,254,058 observations). Obesity and severe obesity were determined using age- and sex-specific body mass index percentiles based on the Centers for Disease Control and Prevention growth charts. Analyses were performed using multivariate logistic regression models with repeated cross-sectional observations weighted to represent the student population for each year and clustered by student and school. Among youth attending public elementary and middle schools in NYC, we estimate that 20.9% and 6.4% had obesity and severe obesity, respectively, in 2019-20. While consistent declines in prevalence were observed overall from 2011-12 to 2019-20 (2.8% relative decrease in obesity and 0.2% in severe obesity, p<0.001), increasing trends were observed among Black, Hispanic, and foreign-born students, suggesting widening disparities. Extending previous work reporting prevalence estimates in this population, nearly all groups experienced significant increases in obesity and severe obesity from 2016-17 to 2019-20 (relative change = 3.5% and 6.7%, respectively, overall; p<0.001). Yet, some of the largest increases in obesity were observed among those already bearing the greatest burden, such as Black and Hispanic students and youth living in poverty. These findings highlight the need for greater implementation of equity-centered obesity prevention efforts. Future research should consider the influence of the COVID-19 pandemic and changes in clinical guidance on childhood obesity and severe obesity in NYC.

The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth.

Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized ß = 0.112 (SE 0.008), standardized ß [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized ß = 0.195 (SE 0.008), standardized ß = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized ß = 0.189 (SE 0.014), standardized ß = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.364 (SE 0.015), standardized ß = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized ß = 0.122 (SE 0.014), standardized ß = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.217 (SE 0.015), standardized ß = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.

The effects of the historical practice of residential redlining in the United States on recent temporal trends of air pollution near New York City schools.

BACKGROUND: In the 1930's the United States (US) sponsored Home Owners' Loan Corporation (HOLC) created maps that determined risk for mortgage lending based on the racial and ethnic composition of neighborhoods leading to disinvestment in "redlined" or highest risk neighborhoods. This historical practice has perpetuated racial and economic segregation, and health disparities, that persist today. Interventions near schools where children spend large portions of the day, could impact large groups of children but schools are an often-overlooked environment for exposure. Despite a declining trend of ambient pollution in New York City (NYC) between 1998 and 2012, little is known about differences in air quality improvement near schools by historical redlining neighborhood status. Our objective was to examine if recent temporal trends of air pollution near NYC public schools differed in historically redlined neighborhoods. METHODS: We examined annual average street-level concentrations of combustion-related air pollutants (black carbon (BC), particulate matter (PM2.5), nitrogen dioxide (NO2), and nitric oxide (NO)), within a 250-m radius around schools using NYC Community Air Survey land-use regression models (n = 1,462). Year of monitoring, historical redlining (binary), and summer ozone were included in multivariable linear regression using generalized estimating equation models. Average annual percent change (APC) in pollutant concentration was calculated. Models were further stratified by historical redlining and a multiplicative interaction term (year of monitoring × historical redlining) was used to assess effect modification. RESULTS: Overall, there was a decreasing trend of BC (APC = -4.40%), PM2.5 (-3.92%), NO2 (-2.76%), and NO (-6.20%) during the 10-year period. A smaller reduction of BC, PM2.5 and NO was observed in redlined neighborhoods (n = 722), compared to others (n = 740): BC (APC: -4.11% vs -4.69%; Pinteraction < 0.01), PM2.5 (-3.82% vs -4.11%; Pinteraction < 0.01), and NO (-5.73% vs -6.67%; Pinteraction < 0.01). Temporal trends of NO2 did not differ by historical redlining (Pinteraction = 0.60). CONCLUSIONS: Despite significant reductions in annual average pollution concentrations across NYC, schools in historically redlined neighborhoods, compared to others, experienced smaller decrease in pollution, highlighting a potential ongoing ramification of the discriminatory practice.

Health and Access to Gender-Affirming Care During COVID-19: Experiences of transmasculine individuals and men assigned female sex at birth.

Since the onset of the COVID-19 pandemic, global research has suggested that the pandemic has negatively affected lesbian, gay, bisexual, transgender, and queer or questioning (LGBTQ) populations, including by limiting health care access. There is little research on the impact of COVID-19 among transmasculine persons and men assigned female sex at birth (AFAB) in the United States, who face unique health care challenges outside of the pandemic context. Between May and June of 2020, 20 transmasculine individuals and AFAB men who have sex with men participated in semi-structured interviews about their experiences during the early months of the COVID-19 pandemic. Participants were asked how the pandemic affected their access to health care, overall health, and well-being. Interviews were analyzed using an inductive, thematic approach. Participants reported reduced access to in-person health care, which in some cases meant overdue hormone-related bloodwork and unmet health care needs. Most participants reported that they were able to maintain their testosterone regimen, although some were concerned about future access, citing anxiety about potential shortages. Three participants reported canceled or deferred gender-affirming procedures, which they were uncertain would be rescheduled soon. Participants generally reported that the expansion of telehealth improved access to care, particularly for gender-affirming psychotherapy that was otherwise inaccessible or inconvenient prior to the pandemic. Other salient themes include the pandemic's impact on health behaviors and daily routines. Although the COVID-19 pandemic created new challenges for maintaining health, it also expanded access to gender-affirming health care, largely through the expansion of telehealth. Our findings provide new insights for supporting the health of transmasculine individuals and AFAB men.