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.

Predictors of Population Mental Health in Montana: An Occupational Justice Perspective.

Population-level analyses can demonstrate occupational injustices and their impact on population health. The objective of this article is to examine whether population-level occupational factors are related to the mental health of Montanans. We used linear regression models of the 2021 Montana County Health Rankings to examine the association between occupational justice and mental health, adjusting for covariates. Predictor variables were access to exercise, insufficient sleep, healthy food access, food insecurity, proximal jobs, and social support. Outcome variables were frequent mental health distress and poor mental health days. Adjusted models showed significant associations between both insufficient sleep (ß = 0.25, 95% confidence interval [CI] = [0.0.11, 0.40]; Table 2) and food insecurity (ß = 0.32, 95% CI = [0.22, 0.43]) and poor mental health days z scores. Adjusted models also showed significant associations between insufficient sleep (ß = 0.18, 95% CI = [0.10, 0.26]) and food insecurity (ß = 0.19, 95% CI = [0.12, 0.25]) and frequent mental health distress. Future research should study whether targeting sleep and food security can enhance Montanans's mental health.

Predictors of Population Mental Health in MontanaA population-level analysis of Montana County Health Rankings using an occupational justice perspective revealed that food insecurity and insufficient sleep were associated with poor mental health days and frequent mental health distress.

The longitudinal association between asthma severity and physical fitness by neighborhood factors among New York City public school youth.

PURPOSE: This paper aims to examine the association between asthma severity and one-year lagged fitness in New York City Public school youth by neighborhood opportunity. METHODS: Using the Child Opportunity Index 2.0 and individual-level repeated measures NYC Office of School Health (OSH) fitness surveillance data (2010-2018), we ran multilevel mixed models stratified by neighborhood opportunity, adjusting for sex, race/ethnicity, grade level, poverty status, and time. Asthma severity was based on a physician-completed Asthma Medication Administration Form (MAF) from each school year and drawn from the Automated Student Health Record (ASHR). RESULTS: Across all youth in grades 4-12 (n = 939,598; 51.7 % male; 29.9 % non-Hispanic Black, 39.3 % Hispanic; 70.0 % high poverty), lower neighborhood opportunity was associated with lower subsequent fitness. Youth with severe asthma and very low and low neighborhood opportunity had the lowest 1-year lagged fitness z-scores - 0.24 (95 % CI, -0.34 to -0.14) and - 0.26 (95 % CI, -0.32 to -0.20), respectively, relative to youth with no asthma and very high opportunity. CONCLUSIONS: An inverse longitudinal relationship between asthma severity and subsequent fitness was observed. Study findings have implications for public health practitioners to promote physical activity and improved health equity for youth with asthma, taking neighborhood factors into account.

You & Me: Test and Treat study protocol for promoting COVID-19 test and treatment access to underserved populations.

BACKGROUND: Infections and deaths from the COVID-19 pandemic have disproportionately affected underserved populations. A community-engaged approach that supports decision making around safe COVID-19 practices is needed to promote equitable access to testing and treatment. You & Me: Test and Treat (YMTT) will evaluate a systematic and scalable community-engaged protocol that provides rapid access to COVID-19 at-home tests, education, guidance on next steps, and information on local resources to facilitate treatment in underserved populations. METHODS: This direct-to-participant observational study will distribute at-home, self-administered, COVID-19 testing kits to people in designated communities. YMTT features a Public Health 3.0 framework and Toolkit prescribing a tiered approach to community engagement. We will partner with two large community organizations, Merced County United Way (Merced County, CA) and Pitt County Health Department (Pitt County, NC), who will coordinate up to 20 local partners to distribute 40,000 COVID tests and support enrollment, consenting, and data collection over a 15-month period. Participants will complete baseline questions about their demographics, experience with COVID-19 infection, and satisfaction with the distribution event. Community partners will also complete engagement surveys. In addition, participants will receive guidance on COVID-19 mitigation and health-promoting resources, and accessible and affordable therapeutics if they test positive for COVID-19. Data collection will be completed using a web-based platform that enables creation and management of electronic data capture forms. Implementation measures include evaluating 1) the Toolkit as a method to form community-academic partnerships for COVID-19 test access, 2) testing results, and 3) the efficacy of a YMTT protocol coupled with local resourcing to provide information on testing, guidance, treatment, and links to resources. Findings will be used to inform innovative methods to address community needs in public health research that foster cultural relevance, improve research quality, and promote health equity. DISCUSSION: This work will promote access to COVID-19 testing and treatment for underserved populations by leveraging a community-engaged research toolkit. Future dissemination of the toolkit can support effective community-academic partnerships for health interventions in underserved settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05455190 . Registered 13 July 2022.

Associations Between Neighborhood Opportunity and Indicators of Physical Fitness for New York City Public School Youth.

Background: Fewer than 1/4th of US children and adolescents meet physical activity (PA) guidelines, leading to health disparities that track into adulthood. Neighborhood opportunity may serve as a critical modifiable factor to improve fitness attainment and reduce these disparities. We drew data from the Child Opportunity Index to examine associations between neighborhood indicators of opportunity for PA and multiple fitness indicators among New York City public school youth. Methods: Multilevel generalized linear mixed models were used to estimate the overall and sex-stratified associations between neighborhood indicators (green space, healthy food, walkability, commute time) and indicators for physical fitness [curl-ups, push-ups, Progressive Aerobic Cardiovascular Endurance Run (PACER), sit-and-reach] using the New York City FITNESSGRAM data set. Results: The analytic sample [n = 299,839; median (interquartile range) age = 16 (12-17)] was 50.1% female, 37.5% Hispanic, 26.2% non-Hispanic Black, and most (69.5%) qualified for free/reduced price school meals. Neighborhood indicators were positively associated with higher values of indicators for physical fitness. The strongest associations were observed between walkability and both BMI and PACER, and commute time with BMI, push-ups, and PACER. For example, walkability had the greatest magnitude of effects for BMI and muscular strength and endurance (BMI: ß: -0.75, 95% confidence interval, CI: -1.01 to -0.49; PACER: ß: 1.98, 95% CI: 1.59 to 2.37), and particularly for girls compared with boys (BMI, girls: ß: -0.91, 95% CI: -1.22 to -0.66); BMI, boys: ß: -0.56, 95% CI: -0.86 to -0.25); PACER, girls: ß: 2.11, 95% CI: 1.68 to 2.54; push-ups, boys: ß: 1.71, 95% CI: 1.31 to 2.12). Conclusion: Neighborhood indicators were associated with multiple measures of youth fitness. Continued research on neighborhood opportunity and youth fitness may better inform place-based public health interventions to reduce disparities.

The longitudinal association between neighbourhood quality and cardiovascular risk factors among youth receiving obesity treatment.

BACKGROUND: Neighbourhood factors are associated with cardiovascular health in adults, but these relationships are under-explored in youth. OBJECTIVES: To characterize the associations between neighbourhood factors and child and adolescent health among youth with obesity. METHODS: Data were drawn from patient health records at a pediatric weight management clinic (n = 2838) and the Child Opportunity Index (COI). Exposures were area-level neighbourhood factors (commute duration, walkability, greenspace and industrial pollutants). Outcomes included BMI relative to the 95th percentile (BMIp95) and blood pressure (continuous variables). Longitudinal models examined associations between COI indicators and outcomes. RESULTS: Shorter commute duration (ß = -4.31, 95% CI: -5.92, -2.71) and greater walkability (ß = -4.40, 95% CI: -5.98, -2.82) were negatively associated with BMIp95. Increased greenspace availability was positively associated with BMIp95 (ß = 1.93, 95% CI: 0.19, 3.67). None of the COI indicators were associated with cardiovascular outcomes in the full sample. Analyses stratified by sex and race/ethnicity showed similar patterns for BMIp95. For commute duration, there was a negative association with blood pressure for female, non-Hispanic White and other race/ethnicity youth. CONCLUSIONS: Neighbourhood factors should be considered as contextual factors when treating youth with obesity. Additional research is needed to understand the relationship between neighbourhood factors and cardiovascular outcomes.

Neighborhood Public Transportation Access and Adolescent Body Mass Index: Results from the FLASHE Study.

Background: Prior investigators have examined the relationship between neighborhood public transportation access and physical activity among adolescents, but research is lacking on the association with obesity in this age group. This study examines the association between neighborhood public transportation access and adolescent BMI using a national sample. Methods: We used cross-sectional data from the Family Life, Activity, Sun, Health, and Eating study, a national survey (2014) that assessed physical activity and diet, among adolescents (aged 12-17 years, N = 1737) and their parents. We ran crude and adjusted linear regression models to test the association between neighborhood-level public transportation access (less prevalent and prevalent) and individual participant-level BMI z-scores. Results: The analytic sample included 336 adolescents (50% female; 69% had healthy weight; 28% had overweight or obesity). Adjusted models showed a positive relationship between high public transportation access and adolescent z-BMI (b = 0.25, confidence interval [95% CI]: -0.01 to 0.50). In stratified analyses, high public transportation access was associated with higher z-BMI for high school students (b = 0.57, 95% CI: 0.23-0.91), males (b = 0.48, 95% CI: 0.09-0.87), and adolescents in households with an income below $99,999 (0.29, 95% CI: 0.02-0.56). Conclusion: Neighborhood public transportation access is associated with adolescent BMI, but the direction of this association varies across urban adolescent demographic subgroups. Further research is needed to clarify the relationships between individual and social-environmental factors that impact public transportation access and its association with adolescent BMI.

Examining COVID-19 testing and vaccination behaviors by heritage and linguistic preferences among Hispanic, Latino, or Spanish RADx-UP participants.

The Hispanic, Latino, or Spanish (hereafter, "Hispanic") populations in the U.S. bear a disproportionate burden of COVID-19-related outcomes, including disease incidence and mortality. Developing culturally appropriate national public health services for Hispanic persons remains a challenge. This study examined the association of heritage and language preference with COVID-19 testing (tested vs. not tested) and vaccination (vaccinated vs. not vaccinated) outcomes among Hispanic participants from 18 Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) projects (n = 3308; mean age = 44.1 years [SD = 14.9], 60% women; 83% spoke other than English at home). Generalized estimating equation models adjusted for age, gender, education level, income, insurance coverage, geographic region, comorbidities, and prior infection. Relative to Mexican heritage, individuals identifying as Puerto Rican or Dominican were more likely to test for COVID-19, and South American heritage was associated with higher testing and vaccination rates. Speaking Spanish or another language at home was associated with increased testing compared with speaking English at home for individuals who preferred not to report their heritage, and increased vaccination for those with Mexican, Cuban, or Central American heritage. This study highlights heterogeneity in testing and vaccination behaviors among Hispanic populations based on heritage and language preference, underscoring the diversity within the U.S. Hispanic community. In contrast to other studies on linguistic acculturation and health care utilization, our study found that a language other than English spoken at home was associated with greater vaccine uptake. That is, enculturation - the retention of Spanish language and presumably of Hispanic cultural norms - was linked with being vaccinated.

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.

In-Person Instruction and Educational Outcomes of K-8 Students During the COVID-19 Pandemic.

OBJECTIVES: Quantify the relationship between district policy permitting in-person instruction and educational outcomes during the 2020 to 2021 academic year for kindergarten through eighth grade students. METHODS: An ecological, repeated cross-sectional analysis of grade-level proficiency of students enrolled in public school districts in North Carolina (n = 115 school districts) was conducted. Univariate and multivariate analyses were performed to evaluate the association between the proportion of the school year a district spent in-person and 2020 to 2021 end-of-year student proficiency in the district. We then fit a multivariable linear regression model, weighted by district size, and adjusted for district-level 2018 to 2019 proficiency and district-level factors (rural or urban, area deprivation). RESULTS: Compared to 2018 to 2019, there was a 12.1% decrease (95% confidence interval [CI]: 16.8-19.3) in mathematics and an 18.1% decrease (95% CI: 10.8-13.4) in reading proficiency across the state at the end of 2020 to 2021. Compared to a district that remained entirely remote for the 2020 to 2021 school year, a district offering full in-person instruction had 12% (95% CI: 11%-12.9%) and 4.1% (95% CI: 3.5%-4.8%) more students achieve grade-level proficiency in mathematics and reading, respectively. In-person instruction was associated with greater increases in mathematics proficiency than reading, and greater increases in elementary-level students' proficiency than middle school-level. CONCLUSIONS: The proportion of students achieving grade-level proficiency in 2020 to 2021 fell below prepandemic levels at each evaluated time point in the academic year. Increased time spent in-person by a school district was associated with an increased proportion of students achieving grade-level end-of-grade proficiency in both mathematics and reading.

Reflections From School Communities in Underserved Populations on Childhood COVID-19 Vaccination.

OBJECTIVES: Outbreaks in vaccine-preventable diseases among children have increased, primarily among under- or unvaccinated subgroups. The influence and interaction of a child's school community on parental health care decisions, such as vaccination, has not been explored. Our study examined childhood coronavirus disease 2019 (COVID-19) vaccine hesitancy within the context of school communities. METHODS: This study combines data from 4 independent research studies funded by the National Institutes of Health Rapid Acceleration of Diagnostics Underserved Populations Return to School Initiative. We examined focus group data to better understand the apprehension surrounding parental and child COVID-19 vaccination among underserved school populations. RESULTS: Across all study sites, 7 main themes emerged with regard to COVID-19-related vaccination concerns for children: (1) potential side effects, (2) vaccine development, (3) misinformation (subthemes: content of vaccine and negative intent of the vaccine), (4) vaccine effectiveness, (5) timing of vaccine administration/availability for children, (6) fear of needles, and (7) mistrust. CONCLUSIONS: School settings offered unique access to youth and family perspectives in underserved communities. Our studies highlighted several factors contributing to COVID-19 vaccine hesitancy in school communities, which align with existing literature on vaccine hesitancy. These concerns centered primarily on potential harm of vaccines, as well as misinformation, mistrust, and timing of vaccines. Related recommendations for increasing vaccination rates are provided. Developing specific strategies that address parent and child concerns will be critical to reducing health inequities related to COVID-19 vaccination.

Common Data Element Collection in Underserved School Communities: Challenges and Recommendations.

OBJECTIVES: To provide recommendations for future common data element (CDE) development and collection that increases community partnership, harmonizes data interpretation, and continues to reduce barriers of mistrust between researchers and underserved communities. METHODS: We conducted a cross-sectional qualitative and quantitative evaluation of mandatory CDE collection among Rapid Acceleration of Diagnostics-Underserved Populations Return to School project teams with various priority populations and geographic locations in the United States to: (1) compare racial and ethnic representativeness of participants completing CDE questions relative to participants enrolled in project-level testing initiatives and (2) identify the amount of missing CDE data by CDE domain. Additionally, we conducted analyses stratified by aim-level variables characterizing CDE collection strategies. RESULTS: There were 15 study aims reported across the 13 participating Return to School projects, of which 7 (47%) were structured so that CDEs were fully uncoupled from the testing initiative, 4 (27%) were fully coupled, and 4 (27%) were partially coupled. In 9 (60%) study aims, participant incentives were provided in the form of monetary compensation. Most project teams modified CDE questions (8/13; 62%) to fit their population. Across all 13 projects, there was minimal variation in the racial and ethnic distribution of CDE survey participants from those who participated in testing; however, fully uncoupling CDE questions from testing increased the proportion of Black and Hispanic individuals participating in both initiatives. CONCLUSIONS: Collaboration with underrepresented populations from the early study design process may improve interest and participation in CDE collection efforts.

A Multi-Study Synthesis of Facilitators and Barriers to SARS-CoV-2 Testing Enrollment in School Settings.

OBJECTIVES: Understanding the motivators and barriers to testing enrollment from different stakeholder perspectives is essential to increasing participation in school-based testing programs, particularly among underserved populations. This multistudy analysis aimed to identify facilitators and barriers to enrollment in school-based testing for coronavirus disease 2019 (COVID-19). METHODS: Four independent studies collected and analyzed qualitative data from study participants regarding: (1) motivators, benefits, and/or reasons for enrolling and/or participating in COVID-19 testing in schools; and/or (2) concerns, barriers, and/or negative outcomes related to COVID-19 testing in schools. Study authors conducted a retrospective review of findings from the independent studies to identify themes related to testing motivators and concerns that emerged across the studies. RESULTS: The analysis identified 10 distinct themes regarding the perceived motivators of COVID-19 testing in schools and 15 distinct themes regarding concerns and barriers to COVID-19 testing in schools. Common motivators across multiple studies included convenience of testing in school and the desire to keep self and others safe from COVID-19. Concerns about the implications of receiving a positive test result was a barrier identified by multiple studies. CONCLUSIONS: Themes from 4 independent studies revealed insights about the motivations and barriers to enrolling and participating in COVID-19 testing programs in kindergarten through 12th grade school settings. Study findings can be used to improve enrollment and participation in new and existing school-based testing programs to reduce transmission of COVID-19 and other infectious diseases in schools.

Longitudinal Associations Between Neighborhood Child Opportunity and Physical Fitness for New York City Public School Youth.

Neighborhood environments can support fitness-promoting behavior, yet little is known about their influence on youth physical fitness outcomes over time. We examined longitudinal associations between neighborhood opportunity and youth physical fitness among New York City (NYC) public school youth. The Child Opportunity Index (COI), a composite index of 29 indicators measuring neighborhood opportunity at the census-tract level, along with scores on 4 selected COI indicators were linked to NYC FITNESSGRAM youth data at baseline. Fitness outcomes (measured annually, 2011-2018) included body mass index, curl-ups, push-ups, and Progressive Aerobic Cardiovascular Endurance Run (PACER) laps. Unstratified and age-stratified, adjusted, 3-level generalized linear mixed models, nested by census tract and time, estimated the association between COI and fitness outcomes. The analytical sample (n = 204,939) lived in very low (41%) or low (30%) opportunity neighborhoods. Unstratified models indicated that overall COI is modestly associated with improved youth physical fitness outcomes. The strongest opportunity-fitness associations were observed for PACER. Stratified models show differences in associations across younger vs. older youth. We find that neighborhood factors are associated with youth fitness outcomes over time, with the strength of the associations dependent on age. Future implications include better informed place-based interventions tailored to specific life stages to promote youth health.

The longitudinal association between asthma severity and physical fitness among new York City public school youth.

Severe persistent childhood asthma is associated with low physical activity and may be associated with poor physical fitness. Research on the asthma severity-fitness association longitudinally and across sociodemographic subgroups is needed to inform fitness interventions targeting youth with asthma. We evaluated the relationship between asthma severity (categorized as severe, mild, or no asthma) and subsequent fitness in New York City (NYC) public school youth enrolled in grades 4-12 using the NYC Fitnessgram dataset (2010-2018). Longitudinal mixed models with random intercepts were fit to test the association between asthma severity and one-year lagged fitness z-scores by clustering repeated annual observations at the student level. Models were adjusted for sex, race/ethnicity, grade level, poverty status, time, and stratified by sociodemographic factors. The analytic sample included 663,137 students (51% male; 31% non-Hispanic Black, 40% Hispanic; 55% in grades 4-8, 70% high poverty; 87%, 11% and 1% with no, mild, and severe asthma, respectively). Students with severe asthma and mild asthma demonstrated -0.19 (95% CI, -0.20 to -0.17) and - 0.10 (95% CI, -0.11 to -0.10), respectively, lower fitness z-scores in the subsequent year relative to students without asthma. After stratifying by demographics, the magnitude of the asthma severity-fitness relationship was highest for non-Hispanic white vs. all other racial/ethnic subgroups, and was similar across sex, grade level, and household poverty status. Overall, we observed an inverse longitudinal relationship between asthma severity and subsequent fitness among urban youth, particularly non-Hispanic Whites. Future research should examine how neighborhood-level factors impact the asthma severity-fitness relationship across racial/ethnic subgroups.

Severe obesity and fitness in New York City public school youth, 2010-2018.

BACKGROUND: Obesity is associated with poorer youth fitness. However, little research has examined the magnitude of this relationship in youth with severe obesity. Therefore, we sought to determine the relationship between increasing weight status and fitness within a sample of children and adolescents from New York City public schools. METHODS: This study utilized longitudinal data from the NYC Fitnessgram dataset years 2010-2018. Height and weight along with fitness were measured annually during physical education classes. Severity of obesity was defined using body mass index relative to the 95th percentile and then categorized into classes. A composite measure of fitness was calculated based on scores for three fitness tests: aerobic capacity, muscular strength, and muscular endurance. To examine the weight status-fitness relationship, repeated measures mixed models with random-intercepts were constructed. Stratified models examined differences by demographic factors. RESULTS: The sample included 917,554 youth (51.8% male, 39.3% Hispanic, 29.9% non-Hispanic Black, 14.0%, 4.6%, and 1.6% class I, II and III obesity, respectively). Compared to youth with healthy weight, increasing severity of obesity was associated with decreased fitness: overweight (ß = - 0.28, 95% CI:-0.29;-0.28), class I obesity (ß = - 0.60, 95% CI:-0.60; - 0.60), class II obesity (ß = - 0.94, 95% CI:-0.94; - 0.93), and class III obesity (ß = - 1.28; 95% CI:-1.28; - 1.27). Stratified models showed the association was stronger among male and non-Hispanic White youth. CONCLUSION: Findings revealed that more severe obesity was associated with lower fitness. Future research is needed to develop targeted interventions to improve fitness in youth with obesity.