Expanding Understanding of Racial-Ethnic Differences in ADHD Prevalence Rates among Children to Include Asians and Alaskan Natives/American Indians

2021 ◽  
pp. 108705472110279
Author(s):  
Ashlyn W. W. A. Wong ◽  
Scott D. Landes

Background Prior studies show that ADHD prevalence rates vary by race-ethnicity, but these studies do not include a full range of racial-ethnic minority groups. Objective This study aimed to understand differences in ADHD prevalence among children across a wider range of racial-ethnic groups, overall and stratified by biological sex. Method Data on children aged 5 to 17 from the 2004 to 2018 National Health Interview Survey Sample Child Files were used in analyses ( N = 120,129). Results Compared to Non-Hispanic White children, ADHD prevalence was lower among Hispanic and Non-Hispanic Asian children. This difference was present for both males and females. Across all racial-ethnic groups, males had higher ADHD prevalence than females. Conclusion Results from this study provide further evidence that racial-ethnic disparities in ADHD prevalence rates persist across sex and provide initial evidence of substantially lower ADHD prevalence among Non-Hispanic Asians. Implications, limitations, and future research directions derived from the results are discussed.

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 256-256
Author(s):  
Anda Botoseneanu ◽  
Sheila Markwardt ◽  
Heather Allore ◽  
Corey Nagel ◽  
Jason Newsom ◽  
...  

Abstract Obesity and multimorbidity are more prevalent among U.S. racial/ethnic minority groups. Evaluating racial/ethnic disparities in multimorbidity accumulation according to body-mass index (BMI) may guide interventions to reduce multimorbidity burden in vulnerable racial/ethnic groups. Data from the 1998-2016 Health & Retirement Study (N=8,106, 51-55 years at baseline) and generalized estimating equations models with inverse probability weights estimated the accumulation of seven chronic diseases (arthritis, cancer, diabetes, heart disease, hypertension, lung disease, and stroke) between racial/ethnic groups [Non-Hispanic White (reference; 64.2%), Non-Hispanic Black (21.6%), Hispanic (14.2%)]. Overweight and obesity were more prevalent in Black (82.3%) and Hispanic (78.9%) than White (70.9 %) participants at baseline. Initial burden of morbidity was higher among Black participants [risk ratio (RR) =1.3, p<0.001] but similar among Hispanic compared with White participants; and higher in overweight or greater BMI categories compared with normal BMI (RR=1.07, 1.15, 1.22, p<0.001, for overweight, obese 1, and obese 2/3 BMI, respectively). Disease accumulation did not differ among racial/ethnic groups. Higher BMI was associated with less disease accumulation compared with the normal BMI category (RR=0.99, 0.98, 0.97, all p<0.001, for overweight, obese 1, and obese 2/3 BMI, respectively, per two-year interval). Black participants crossed the threshold of multimorbidity (≥2 diseases) 4-6 years earlier than White and Hispanic participants. There are substantial differences in initial disease burden between Black and White middle-aged/older adults, but not in the accumulation of disease, suggesting the need to intervene prior to entering middle age to reduce disparities in the burden of multimorbidity among vulnerable racial minorities.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S318-S319
Author(s):  
Anda Botoseneanu ◽  
Sheila Markwardt ◽  
Heather Allore ◽  
Corey Nagel ◽  
Jason T Newsom ◽  
...  

Abstract Obesity and multimorbidity are more prevalent among underrepresented U.S. racial/ethnic minority groups. Evaluating whether racial/ethnic disparities in multimorbidity accumulation vary according to body-mass index (BMI) may guide interventions aimed at reducing multimorbidity burden in vulnerable racial/ethnic groups. We used 1998-2014 data from the Health & Retirement Study (N=8,635 participants, age 51-55 years old at baseline) and negative binomial models stratified by BMI category to evaluate differences in rates of accumulation of seven chronic conditions (arthritis, cancer, diabetes, heart disease, hypertension, lung disease, and stroke), focusing on differences between racial/ethnic groups [White (reference; 64.7%), Black (21.5%), Hispanic (13.8%)]. Overweight and obesity were more prevalent in Black (80.9%) and Hispanic (78.6%) than White (69.9%) participants at baseline; in all BMI categories, Black participants had higher rates of multimorbidity compared with White participants (normal BMI:β=0.304, p<0.001; overweight:β=0.243,p<0.001; and obese:β=0.135,p=0.013); initial burden of disease was similar between Whites and Hispanics in the normal and overweight categories, but significantly lower among Hispanics (vs. Whites) in the obese category (β= -0.180,p=0.017). We found no significant differences in rates of disease accumulation between the racial/ethnic groups in any of the BMI categories. There are substantial differences in initial disease burden between Black and White middle-aged/older adults, but not in the rate of accumulation of disease between the race/ethnic groups in the 3 main BMI categories. These findings suggest an opportunity to reduce racial disparities in multimorbidity by intervening early in the lifecourse to reduce the burden of chronic disease among vulnerable racial minorities prior to entering middle-age.


Author(s):  
Tené T. Lewis, PhD ◽  
Izraelle I. McKinnon

This chapter focuses on how discrimination can impact sleep health, with an emphasis on stress as a mediator in the relationship. Given that the vast majority of sleep research on discrimination focuses on racial discrimination, this type of discrimination is the focus of the chapter. Measurement of discrimination is a strong focus of the chapter as well as mechanisms linking discrimination to sleep health, including psychosocial stress. The chapter begins by highlighting discrimination as an important social determinant in the lives of racial/ethnic minority groups in the United States, followed by key findings linking experiences of discrimination to both self-reported and objective indices of sleep and important measurement issues relevant to the study of discrimination and sleep. How studies of discrimination and sleep have contributed to the understanding of racial/ethnic disparities in sleep is also considered. The chapter closes by discussing critical gaps in knowledge and potential directions for future research.


Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Mohammed Umer A Waris ◽  
Nathan D Wong

Introduction: The American Heart Association (AHA) set a goal to improve the cardiovascular health of the nation by 20% by 2020 and identified cardiovascular disease (CVD) health metrics. We estimated the prevalence of adults at ideal levels for six key CVD health metrics among the racial and ethnic groups in California. Methods: Using data from the California Health Interview Survey (CHIS) 2009 study of adults aged 18 and over, and closely following AHA definitions, we identified prevalence of “poor”, “intermediate”, and “ideal” levels of 6 key CVD health metrics: 1) smoking status, 2) physical activity, 3) BMI, 4) diet score, 5) fasting plasma glucose, and 6) blood pressure among Chinese, Filipino, South Asians, Japanese, Koreans, Vietnamese, Caucasians, Mexican Americans, Other Hispanics, African Americans, and Native Americans/ Alaskan Natives living in California (n=46,693, projected = 26.6 mil). The seventh key AHA metric, cholesterol, was not available in our sample. Results: Among all racial/ ethnic groups, physical activity, BMI, and diet score were the metrics at poorest levels. Wide variability in ideal levels for the six key CVD health metrics is seen across all racial/ ethnic groups (table). The CVD health metrics were most consistently poor among American Indians/ Alaskan Natives but were also at low levels for specific Asian, Hispanic, and African American groups. Less than 1% of all California adults had ideal measures for all six CVD Health metrics. Conclusions: Our study shows wide variability between Asian and other racial/ ethnic groups in key CVD health metrics in California. Larger scale national surveys representing all key US racial and ethnic groups are needed to validate these findings and to document the gaps needed to be addressed for improving CVD health. These findings provide opportunities for targeted health outreach to those racial/ ethnic groups most at risk and addressing metrics at poorest attainment. Table. Proportion (%) at Ideal Levels of CVD Health Metrics, by Race and Ethnicity


Author(s):  
Yuval Paldi ◽  
Daniel S. Moran ◽  
Orna Baron-Epel ◽  
Shiran Bord ◽  
Riki Tesler

The Israeli Mamanet Cachibol League (MCL) serves as a community model that incorporates physical activity and amateur team sports among women. Team sports have been shown to bridge gaps and build positive relationships between communities. There is a paucity of data regarding the advantages of team sports to promote the health and well-being of women from different ethnic backgrounds. The purpose of this study was to examine the association of participation in MCL with social capital, health, and well-being across two ethnic groups: Jewish and Arab women. A cross-sectional survey was conducted among women aged 25–64: 102 Jewish and 96 Arab MCL participants, and 102 Jewish and 81 Arab non-MCL participants. Data regarding social capital (trust, social support and social involvement) and well-being (self-reported health and psychosomatic and depressive symptoms) were analyzed using two-way analyses of covariance and multiple regression models with sequential entry of the variables. MCL participants from both ethnic groups reported higher social capital (p < 0.001), better self-reported health (p < 0.001), and lower psychosomatic symptoms (p < 0.001) compared to non-participants. Jewish MCL participants reported lower depressive symptoms (p < 0.001) than non-participants, however no difference was found between Arab MCL participants and non-participants (p < 0.160). Amateur team sports such as MCL are related with higher levels of well-being and social capital. Future research should focus on longitudinal studies that examine the change in social capital and well-being over time.


2021 ◽  
Vol 11 (8) ◽  
pp. 740
Author(s):  
Manjula D. Nugawela ◽  
Sarega Gurudas ◽  
Andrew Toby Prevost ◽  
Rohini Mathur ◽  
John Robson ◽  
...  

There is little data on ethnic differences in incidence of DR and sight threatening DR (STDR) in the United Kingdom. We aimed to determine ethnic differences in the development of DR and STDR and to identify risk factors of DR and STDR in people with incident or prevalent type II diabetes (T2DM). We used electronic primary care medical records of people registered with 134 general practices in East London during the period from January 2007–January 2017. There were 58,216 people with T2DM eligible to be included in the study. Among people with newly diagnosed T2DM, Indian, Pakistani and African ethnic groups showed an increased risk of DR with Africans having highest risk of STDR compared to White ethnic groups (HR: 1.36 95% CI 1.02–1.83). Among those with prevalent T2DM, Indian, Pakistani, Bangladeshi and Caribbean ethnic groups showed increased risk of DR and STDR with Indian having the highest risk of any DR (HR: 1.24 95% CI 1.16–1.32) and STDR (HR: 1.38 95% CI 1.17–1.63) compared with Whites after adjusting for all covariates considered. It is important to optimise prevention, screening and treatment options in these ethnic minority groups to avoid health inequalities in diabetes eye care.


PEDIATRICS ◽  
2003 ◽  
Vol 112 (Supplement_E1) ◽  
pp. e521-e532
Author(s):  
Laura P. Shone ◽  
Andrew W. Dick ◽  
Cindy Brach ◽  
Kim S. Kimminau ◽  
Barbara J. LaClair ◽  
...  

Background. Elimination of racial and ethnic disparities in health has become a major national goal. The State Children’s Health Insurance Program (SCHIP) has the potential to reduce disparities among the children who enroll if they exhibit the same disparities that have been documented in previous studies of low-income children. To determine the potential impact of SCHIP on racial and ethnic disparities, it is critical to assess baseline levels of health disparities among children enrolling in SCHIP. Objective. To use data from the Child Health Insurance Research Initiative (CHIRI) to 1) describe the sociodemographic profile of new enrollees in SCHIP in Alabama, Florida, Kansas, and New York; 2) determine if there were differences in health insurance and health care experiences among white, black, and Hispanic SCHIP enrollees before enrollment in SCHIP; and 3) explore whether race or ethnicity, controlled for other factors, affected pre-SCHIP access to health coverage and health care. Setting. SCHIP programs in Alabama, Florida, Kansas, and New York, which together include 26% of SCHIP enrollees nationwide. Design. Telephone interview (mailed survey in Alabama) about the child’s health, health insurance, and health care experiences conducted shortly after SCHIP enrollment to assess experience during the time period before SCHIP. Sample. New SCHIP enrollees (0–17.9 years old in Alabama, Kansas, and New York and 11.5–17.9 years old in Florida). Stratified sampling was performed in Kansas and New York, with results weighted to reflect statewide populations of new SCHIP enrollees. Measures. Sociodemographic characteristics including income, education, employment, and other characteristics of the child and the family, race and ethnicity (white non-Hispanic, black non-Hispanic, and Hispanic [any race]), prior health insurance, health care access and utilization, and health status. Analyses. Bivariate analyses were used to compare baseline measures upon enrollment for white, black, and Hispanic SCHIP enrollees. Multivariate analyses were performed to assess health status and health care access measures (prior insurance, presence of a usual source of care (USC), and use of preventive care), controlling for demographic factors described above. Weighted analyses (where appropriate) were performed by using SPSS, STATA, or SUDAAN. Results. Racial and ethnic composition varied across the SCHIP cohorts studied, with black and Hispanic children comprising the following proportion of enrollees, respectively: Alabama, 33% and &lt;1%; Florida, 16% and 26%; Kansas, 12% and 15%; and New York, 24% and 36%. Black and Hispanic children were more likely to reside in single-parent and lower-income families. With some variation by state, children from minority groups were more likely to report poorer health status than were white children. Relative to white children, children from minority groups in Florida and New York were more likely to have been uninsured for the entire year before SCHIP enrollment. In all states, children from minority groups who had prior coverage were more likely to have previously been enrolled in Medicaid than in private health insurance and were less likely to have had employer-sponsored coverage compared with white children. Except in Alabama, there was a difference in having a USC, with children from minority groups less likely to have had a USC before SCHIP enrollment compared with white children. No consistent pattern of health care utilization before SCHIP was noted across states with respect to race or ethnicity. Findings from multivariate analyses, controlling for sociodemographic factors, generally confirmed that black and Hispanic children were more likely to have lacked insurance or a USC before enrollment in SCHIP and to have poorer health status compared with white children. Conclusions. SCHIP is enrolling substantial numbers of racial and ethnic minority children. There are baseline racial and ethnic disparities among new enrollees in SCHIP, with black and Hispanic children faring worse than white children on many sociodemographic and health system measures, and there are differences among states in the prevalence and magnitude of these disparities. After controlling for sociodemographic factors, these disparities persisted. Implications for Monitoring and Improving SCHIP. SCHIP has the potential to play a critical role in efforts to eliminate racial and ethnic disparities in health among the children it serves. However, study findings indicate that programmatic efforts are necessary to ensure that disparities are not perpetuated. Program effectiveness and outcomes should be monitored by race and ethnicity to ensure equity in access, use, and outcomes across all racial and ethnic groups. Assessing the health characteristics and needs of new SCHIP enrollees can provide a benchmark for evaluating the program’s impact on eliminating racial and ethnic disparities in health and inform service delivery enhancements.


Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Summer Chavez ◽  
Ryan Huebinger ◽  
Kevin Schulz ◽  
Hei Kit Chan ◽  
Micah Panczyk ◽  
...  

Introduction: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. The CDC has declared that the COVID-19 pandemic has disproportionately affected many racial and ethnic minority groups. However, the influence of the COVID-19 pandemic on OHCA incidence and outcomes in different races and ethnicities is unknown. Purpose: To describe racial/ethnic disparities in OHCA incidence, processes of care and outcomes in Texas during the COVID-19 pandemic. Methods: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES) comparing adult OHCA from the pre-pandemic period (March 11 - December 31, 2019) to the pandemic period (March 11- December 31, 2020). The racial and ethnic categories were White, Black, Hispanic or Other. Outcomes were rates of BCPR, AED use, sustained ROSC, prehospital termination of resuscitation (TOR), survival to hospital admission, survival to discharge and good neurological outcomes. We fit a mixed effect logistic regression model, with EMS agency designated as the random intercept to obtain aORs. We adjusted for the pandemic and other covariates. Results: A total of 8,070 OHCAs were included. The proportion of cardiac arrests increased for Blacks (903 to 1, 113, 24.9% to 25.5%) and Hispanics (935 to 1,221, 25.8% to 27.5%) and decreased for Whites (1 595 to 1,869, 44.0% to 42.1%) and Other (194 to 220, 5.4% to 5.0%) patients. Compared to Whites, Black (aOR = 0.73, 95% CI 0.65-0.82) and Hispanic patients (aOR = 0.78, 95% CI 0.68-0.87) were less likely to receive BCPR. Compared to Whites, Blacks were less likely to have sustained ROSC (aOR = 0.81, 95% CI 0.70-0.93%), with lower rates of survival to hospital admission (aOR = 0.87, 95% CI 0.75-1.0), and worse neurological outcomes (aOR = 0.45, 95% 0.28-0.73). Hispanics were less likely to have prehospital TOR compared to Whites (aOR = 0.86, 95% CI = 0.75-0.99). The Utstein bystander survival rate was worse for Blacks (aOR = 0.72, 95% CI 0.54-0.97) and Hispanics (aOR = 0.71, 95% 0.53-0.95) compared to Whites. Conclusion: Racial and ethnic disparities persisted during the COVID-19 pandemic in Texas.


2021 ◽  
pp. 573-577
Author(s):  
Allison Marziliano ◽  
Michael A. Diefenbach

This chapter focuses on the different facets of treatment decision making that have been empirically derived and are part of the peer-reviewed literature. These facets are approaches of treatment decision making (i.e. exploration and uptake of shared decision making, the current gold standard of treatment decision making); optimal treatment decision making (i.e. barriers and facilitators to engaging in optimal treatment decision making); support for treatment decision making (i.e. decision tools, nomograms, and seeking guidance on the Internet); the psychosocial state of patients following treatment decisions; and considerations related to studying treatment decision making (i.e. racial/ethnic disparities, cultural differences in decision making). Areas in which research is lacking or nonexistent (i.e. ensuring the patient understands the goals of treatment before making a treatment decision) are also highlighted as directions for future research.


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