Disparities in COVID-19 related outcomes in the United States by race and ethnicity pre-vaccination era: an umbrella review of meta-analyses.

Background: Meta-analyses have investigated associations between race and ethnicity and COVID-19 outcomes. However, there is uncertainty about these associations' existence, magnitude, and level of evidence. We, therefore, aimed to synthesize, quantify, and grade the strength of evidence of race and ethnicity and COVID-19 outcomes in the US. Methods: In this umbrella review, we searched four databases (Pubmed, Embase, the Cochrane Database of Systematic Reviews, and Epistemonikos) from database inception to April 2022. The methodological quality of each meta-analysis was assessed using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR-2). The strength of evidence of the associations between race and ethnicity with outcomes was ranked according to established criteria as convincing, highly suggestive, suggestive, weak, or non-significant. The study protocol was registered with PROSPERO, CRD42022336805. Results: Of 880 records screened, we selected seven meta-analyses for evidence synthesis, with 42 associations examined. Overall, 10 of 42 associations were statistically significant (p ≤ 0.05). Two associations were highly suggestive, two were suggestive, and two were weak, whereas the remaining 32 associations were non-significant. The risk of COVID-19 infection was higher in Black individuals compared to White individuals (risk ratio, 2.08, 95% Confidence Interval (CI), 1.60-2.71), which was supported by highly suggestive evidence; with the conservative estimates from the sensitivity analyses, this association remained suggestive. Among those infected with COVID-19, Hispanic individuals had a higher risk of COVID-19 hospitalization than non-Hispanic White individuals (odds ratio, 2.08, 95% CI, 1.60-2.70) with highly suggestive evidence which remained after sensitivity analyses. Conclusion: Individuals of Black and Hispanic groups had a higher risk of COVID-19 infection and hospitalization compared to their White counterparts. These associations of race and ethnicity and COVID-19 outcomes existed more obviously in the pre-hospitalization stage. More consideration should be given in this stage for addressing health inequity.

Disparities in COVID-19 Incidence, Hospitalizations, and Testing, by Area-Level Deprivation - Utah, March 3-July 9, 2020.

Coronavirus disease 2019 (COVID-19) has had a substantial impact on racial and ethnic minority populations and essential workers in the United States, but the role of geographic social and economic inequities (i.e., deprivation) in these disparities has not been examined (1,2). As of July 9, 2020, Utah had reported 27,356 confirmed COVID-19 cases. To better understand how area-level deprivation might reinforce ethnic, racial, and workplace-based COVID-19 inequities (3), the Utah Department of Health (UDOH) analyzed confirmed cases of infection with SARS-CoV-2 (the virus that causes COVID-19), COVID-19 hospitalizations, and SARS-CoV-2 testing rates in relation to deprivation as measured by Utah's Health Improvement Index (HII) (4). Age-weighted odds ratios (weighted ORs) were calculated by weighting rates for four age groups (≤24, 25-44, 45-64, and ≥65 years) to a 2000 U.S. Census age-standardized population. Odds of infection increased with level of deprivation and were two times greater in high-deprivation areas (weighted OR = 2.08; 95% confidence interval [CI] = 1.99-2.17) and three times greater (weighted OR = 3.11; 95% CI = 2.98-3.24) in very high-deprivation areas, compared with those in very low-deprivation areas. Odds of hospitalization and testing also increased with deprivation, but to a lesser extent. Local jurisdictions should use measures of deprivation and other social determinants of health to enhance transmission reduction strategies (e.g., increasing availability and accessibility of SARS-CoV-2 testing and distributing prevention guidance) to areas with greatest need. These strategies might include increasing availability and accessibility of SARS-CoV-2 testing, contact tracing, isolation options, preventive care, disease management, and prevention guidance to facilities (e.g., clinics, community centers, and businesses) in areas with high levels of deprivation.

Suicidal Ideation and Attempts Among Students in Grades 8, 10, and 12 - Utah, 2015.

Suicidal thoughts and behaviors among youths are important public health concerns in Utah, where the suicide rate among youths consistently exceeds the national rate and has been increasing for nearly a decade (1). In March 2017, CDC was invited to assist the Utah Department of Health (UDOH) with an investigation to characterize the epidemiology of fatal and nonfatal suicidal behaviors and identify risk and protective factors associated with these behaviors, among youths aged 10-17 years. This report presents findings related to nonfatal suicidal behaviors among Utah youths. To examine the prevalence of suicidal ideation and attempts among Utah youths and evaluate risk and protective factors, data from the 2015 Utah Prevention Needs Assessment survey were analyzed. Among 27,329 respondents in grades 8, 10, and 12, 19.6% reported suicidal ideation and 8.2% reported suicide attempts in the preceding 12 months. Significant risk factors for suicidal ideation and attempts included being bullied, illegal substance or tobacco use in the previous month, and psychological distress. A significant protective factor for suicidal ideation and attempts was a supportive family environment. UDOH, local health departments, and other stakeholders are using these findings to develop tailored suicide prevention strategies that address multiple risk and protective factors for suicidal ideation and attempts. Resources such as CDC's Preventing Suicide: A Technical Package of Policy, Programs, and Practices (2) can help states and communities identify strategies and approaches using the best available evidence to prevent suicide, which include tailored strategies for youths.

Characteristics of and Precipitating Circumstances Surrounding Suicide Among Persons Aged 10-17 Years - Utah, 2011-2015.

In 2015, suicide was the third leading cause of death among persons aged 10-17 years (1), and in Utah, the age-adjusted suicide rate was consistently higher than the national rate during the past decade (2). In January 2017, the Utah Department of Health (UDOH) invited CDC to assist with an epidemiologic investigation of suicides among youths aged 10-17 years during 2011-2015 to identify precipitating factors. CDC analyzed data from the Utah Violent Death Reporting System (UTVDRS), National Vital Statistics System, and additional information collected in the field. During 2011-2015 in Utah, 150 youths died by suicide. Approximately three fourths of decedents were male (77.4%) and aged 15-17 years (75.4%). During this period, the unadjusted suicide rate per 100,000 youths in Utah increased 136.2%, from 4.7 per 100,000 population (2011) to 11.1 (2015), whereas among youths nationwide, the rate increased 23.5%, from 3.4 to 4.1. Among suicide decedents with circumstances data available, more than two thirds (68.3%) had multiple precipitating circumstances, including mental health diagnosis (35.2%), depressed mood (31.0%), recent crisis (55.3%), and history of suicidal ideation or attempt (29.6%). CDC's technical package of policies, programs, and practices to prevent suicide supported by the best available evidence can be used as a suicide prevention resource (3).

Using a representative sample of elementary school students to determine the statewide prevalence of childhood overweight and obesity in Utah.

Utah's Height and Weight Measurement Project was conducted with elementary school students periodically from 2002 to 2008. The 2002 pilot project was performed to establish variability rates between schools and within schools. It allowed us to accurately determine both the sample size and the number of schools that were required to calculate a reliable statewide estimate based on a random sample of schools and to establish sentinel grades. The sentinel grades identified were grades 1, 3, and 5. Use of randomly selected classes in the sentinel grades resulted in decreased sample size and less school disruption while maintaining sufficient precision. Standardized, calibrated equipment was purchased and given to school nurses for safekeeping. Lessons learned included establishing strong relationships with partners, especially school nurses, and obtaining support from upper management at the schools, school districts, and the Utah Department of Health. A significant difference in participation rates and obesity rates at the individual school level was observed depending on parental consent type; active consent was associated with lower student participation rates and lower observed obesity rates. Data were presented to both participating and nonparticipating schools, school nurses, district superintendents, and principals. For surveillance purposes, sampling is an efficient, cost-effective way to estimate childhood overweight and obesity rates.

Do parents accurately perceive their child's weight status?

INTRODUCTION: Few studies have evaluated the accuracy of parental perceptions of their child's weight status. METHODS: A cross-sectional sample of children aged 5 to 12 years and their parents (n = 576 parent-child pairs) was enrolled from four schools. Child height and weight were measured. The parents classified their child on Likert scales ranging from "extremely overweight" to "extremely underweight." Parental perceptions were compared with their child's weight status according to body mass index (BMI) age-gender percentiles. Fisher-Halton-Freeman tests, chi(2), and logistic regression were used to compare demographic factors between parents who inaccurately estimated and those who accurately estimated child weight status. RESULTS: Misclassification occurred 25% of the time (95% confidence interval: 21.4-28.5). All parents of children with a BMI greater than or equal to the 95th percentile classified their child in a category other than "extremely overweight," and 75% of children with a BMI from the 85th to less than the 95th percentile were misclassified as "about right" or "underweight." Boys were more likely to be misclassified than were girls (29% vs 21%, P = .03). CONCLUSIONS: The majority of parents of obese and overweight children underestimate their child's weight status. Parents of boys are more likely to perceive their child's weight incorrectly.