Comparing Self-Reported and Aggregated Racial Classification for American Indian/Alaska Native Youths in YRBSS: 2021.

Objectives. To identify how race and ethnicity were reclassified with survey variables for children self-reporting as American Indian/Alaska Native (AI/AN) using the 2021 Youth Risk Behavior Surveillance System (YRBSS). Methods. We conducted a cross-sectional analysis of the US Centers for Disease Control and Prevention's 2021 YRBSS. YRBSS collects behaviors and demographics of students in grades 9 through 12, including race and ethnicity via self-report, and then reclassifies data into a "raceeth" variable. To examine the classification of AI/AN in YRBSS, we compared AI/AN composition between self-report and raceeth variables. Results. A total of 816 adolescents self-reported as AI/AN alone (145; 17.70%), AI/AN alone with Hispanic/Latino background (246; 30.15%), or AI/AN in combination with 1 or more race (425; 52.08%). Of those, only 145 were classified as being AI/AN in the calculated raceeth variable. With YRBSS survey weighting, the percentage of AI/AN in the raceeth variable was 13.4%. Conclusions. Misclassification, noncollection, or the use of categories such as "other" and "multirace" without allowing disaggregation can misrepresent disease burden, morbidity, and mortality. Consequently, it is critical to disaggregate data to adequately capture race/ethnicity in self-report surveys and data sources. (Am J Public Health. 2024;114(4):403-406. https://doi.org/10.2105/AJPH.2023.307561).

Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

OBJECTIVES: Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health. METHODS: We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators. RESULTS: Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption. CONCLUSIONS: Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

Racial discrimination among children in the United States from 2016 to 2020: an analysis of the National Survey of Children's Health.

CONTEXT: Sociological research has linked racism and discrimination among children to poorer health outcomes and social conditions later in life. OBJECTIVES: Given the change in the political climate in the United States, highly publicized deaths of Black men and women by police, and the rise in hate crimes against Asian Americans from 2016 through 2020, our primary objective was to assess trends in racial or ethnic discrimination among children in the United States. METHODS: We conducted a cross-sectional analysis of the National Survey of Children's Health (NSCH), a nationally representative survey, utilizing data from 2016 to 2020. We calculated yearly population estimates of whether a child had experienced discrimination based on race/ethnicity via a parent-reported item. We further divided the estimates by race/ethnicity and plotted linear trends over time. RESULTS: Data from the NSCH show that racial/ethnic discrimination reported by parents of children who are minorities increased from 6.7% in 2016 to approximately 9.3% in 2020. Indigenous children were reported to experience discrimination at high rates ranging from 10.8% in 2016 to 15.7% in 2020, as well as Black children ranging from 9.69% in 2018 to 15.04% in 2020. The percent of Asian, Hawaiian or Pacific Islander, and Hispanic children reported to have experience discrimination was between 4.4 and 6.8% during this time. CONCLUSIONS: Discrimination negatively impacts the developmental experiences of children, disproportionately affecting those identifying as Indigenous and Black. Therefore, addressing harmful stereotyping of Indigenous and Black cultures is necessary, especially in media targeted toward children. Providing culturally competent healthcare, critically in the Indigenous and Black pediatric population, may improve long-term outcomes by reducing discriminatory barriers to healthcare access.

Asthma medications in schools: a cross-sectional analysis of the Asthma Call-back Survey 2017-2018.

CONTEXT: Asthma is the most common chronic disease affecting children in the United States. Goals for asthma management include symptom control, the ability to maintain a normal activity level, and minimizing adverse events. OBJECTIVES: The objective of this study is to analyze the number of children with asthma that are permitted to carry medications at school and without an asthma action plan. METHODS: In this study, we analyzed the Center for Disease Control and Prevention (CDC) Asthma Call-back Survey (ACBS) to assess the prevalence of children in school allowed to carry medication and with asthma action plans. Utilizing the sampling weights provided, we estimated population prevalence by age group and urbanicity. RESULTS: Results showed that, overall, 34.8% of students reported they were not allowed to carry asthma medications in school. Specifically, nearly 51% of children ages 5 to 9 and 33% of children ages 10 to 14 were reported not to be allowed to carry medications at school. Further, 58.2% of children did not have a written asthma action plan. Reported urbanicity was not significantly associated with access to medication at school (p=0.46) or having an asthma action plan (p=0.57). CONCLUSIONS: In our study, more than one-third of students were not permitted to carry asthma medications and nearly three-fifths did not have a written asthma action plan. Therefore, we recommend partnerships between schools, healthcare professionals, students, and osteopathic family physicians to increase access to asthma action plans and medication in schools.

Health disparities, COVID-19, and maternal and childbirth outcomes: a meta-epidemiological study of equity reporting in systematic reviews.

BACKGROUND: Pregnant women with COVID-19 are at increased risk for adverse maternal and pregnancy outcomes, and birth complications. Given the health outcome disparities among pregnant women of racial and ethnic minorities and the reliance of medical practice on systematic reviews and meta-analyses (SRMAs)-as they are the apical component in the hierarchy of evidence in medical research-the primary objective of the study is to examine the inclusion of the equity reporting in SRMAs focused on pregnancy outcomes and COVID-19 using PROGRESS-Plus equity framework. PROGRESS represents equity measures of Place, Race, Occupation, Gender, Religion, Education, Social capital, and Socio-economic status. METHODS: We conducted a systematic search of three databases to identify SRMAs related to maternal and pregnancy outcomes related to COVID-19. We extracted whether SRMAs reported or analyzed PROGRESS-Plus components among other study characteristics. RESULTS: Nearly 85% of SRMAs did not include any equity items to account for racial or geographic disparities. Reporting of race was absent from 95% of the studies. Place was the most common PROGRESS item and maternal age was the most common PROGRESS-Plus item reported overall. CONCLUSION: When research is performed and reported in a way that fails to address disparities, the downstream repercussions may include medical care in the form of new protocol-driven hospital management, pharmacologic interventions, and other treatment options that mirror this absence in reporting. The absence of adequate reporting widens gaps in health outcomes among at-risk groups, such as pregnant women of racial and ethnic minorities.

Cervical cancer screening among women with comorbidities: a cross-sectional examination of disparities from the Behavioral Risk Factor Surveillance System.

CONTEXT: Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist. OBJECTIVES: This study aims to analyze whether CC screening rates differ among women with comorbidities-body mass index (BMI) ≥30 kg/m2, diabetes mellitus, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer-compared to women without these comorbidities. METHODS: Combined 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) datasets were evaluated utilizing multivariate logistic regression models to determine the adjusted odds ratios (AORs) of persons having completed CC screening without comorbidities compared to those with individual diagnoses, as well as in those with multiple comorbidities (1, 2-4, 5+). Confidence intervals (CIs) were reported at 95%. RESULTS: Among the 127,057 individuals meeting inclusion criteria, 78.3% (n = 83,242; n = 27,875,328) met CC screening guidelines. Multivariable regression showed that women who had a BMI ≥30 kg/m2 were significantly less likely to have completed a CC screening (AOR: 0.90; CI: 0.83-0.97) as were those with COPD (AOR: 0.77; CI: 0.67-0.87) and kidney disease (AOR: 0.81; CI: 0.67-0.99). Conversely, women with skin cancer were significantly more likely to report CC screening (AOR: 1.22; CI: 1.05-1.43). We found no significant differences in CC screening completion rates by diagnosis of diabetes, hypertension, cardiovascular disease, arthritis, or depression nor between women lacking comorbidities compared to women with multiple comorbidities. CONCLUSIONS: Women with BMI ≥30 kg/m2, COPD, and kidney disease were less likely to complete CC screening, whereas women with skin cancer were more likely to complete CC screening. Additionally, diabetes mellitus, hypertension, cardiovascular disease, arthritis, and depression diagnoses did not significantly impact rates of CC screening. Physicians should be aware of the deviations in CC screening completion among patients with diagnoses to know when there may be an increased need for Pap tests and pelvic examinations. CC screening is critical to reduce mortality through early detection and prevention measures.