hispanic origin
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2022 ◽  
Author(s):  
Brady Hamilton ◽  
Michelle Osterman ◽  
Joyce Martin

This report presents provisional 2021 and final 2020 and 2019 data on changes in the number of U.S. births by race and Hispanic origin of mother and by month of birth and state for January through June of 2020 and 2021.


2022 ◽  
Author(s):  
Amy Cha

This report presents national estimates of different types of health insurance coverage and lack of coverage (uninsured). Estimates are presented by selected sociodemographic characteristics, including age, sex, race and Hispanic origin, family income, education level, employment status, and marital status.


2022 ◽  
Author(s):  
Joyce Martin ◽  
Michelle Osterman

This report is limited to singleton births and describes trends in preterm birth rates from 2014 through 2020 and changes in rates between 2019 and 2020 by maternal race and Hispanic origin, age, and state of residence.


2022 ◽  
Author(s):  
Elizabeth Gregory ◽  
Claudia Valenzuela ◽  
Joyce Martin

This report describes 2014–2019 trends and changes from 2019 to 2020 for total, early, and late fetal mortality, and compares changes by maternal race and Hispanic origin and by state between 2018–2019 and 2019–2020.


2022 ◽  
Author(s):  
Claudia Valenzuela ◽  
Elizabeth Gregory ◽  
Joyce Martin

This report presents trends in perinatal mortality, as well as its components, late fetal and early neonatal mortality, for 2017 through 2019. Also shown are perinatal mortality trends by mother’s age, race and Hispanic origin, and state for 2017–2019.


2021 ◽  
Author(s):  
Anne Driscoll ◽  
Elizabeth Gregory

This report presents data on distributions in prepregnancy body mass index, including the three classes of obesity, by maternal race and Hispanic origin for women who gave birth in 2020.


2021 ◽  
Author(s):  
Joyce Martin ◽  
Michelle Osterman ◽  
Valenzuela Claudia

This report describes characteristics and selected pregnancy outcomes among mothers with and without confirmed or presumed COVID-19 during pregnancy by maternal age, educational attainment, race and Hispanic origin, and source of payment for the delivery for a 14-state and District of Columbia reporting area.


2021 ◽  
Vol 8 ◽  
Author(s):  
Lauren E. O'Connor ◽  
Kirsten A. Herrick ◽  
Ruth Parsons ◽  
Jill Reedy

Heterogeneity in meat food groups hinders interpretation of research regarding meat intake and chronic disease risk. Our objective was to investigate how heterogeneity in red meat (RM) and poultry food groups influences US population intake estimates. Based on a prior systematic review, we created an ontology of methods used to estimate RM [1= unprocessed RM; 2 (reference)= unprocessed RM + processed RM; 3= unprocessed RM + processed RM + processed poultry; and 4=unprocessed RM + processed RM + processed poultry + chicken patties/nuggets/tenders (PNT)] and three for poultry [A=unprocessed poultry; B= unprocessed poultry + PNT; C (reference)= unprocessed poultry + processed poultry + PNT). We applied methods to 2015–18 National Health and Nutrition Examination Survey data to estimate RM and poultry intake prevalence and amount. We estimated and compared intakes within RM and within poultry methods via the NCI Method for individuals ≥2 years old (n = 15,038), adjusted for age, sex, and race/Hispanic origin. We compared the population percentage that exceeded age- and sex-specific RM and poultry allotments from the Dietary Guidelines for Americans recommended eating patterns. The percent that consumed RM ranged from 47 ± 1.2% to 75 ± 0.8% across methods and mean amount ranged from 10.5 ± 0.28 to 18.2 ± 0.35 lean oz-equivalents/week; 38 ± 1.2% to 71 ± 0.7% and 9.8 ± 0.35 to 13.3 ± 0.35 lean oz-equivalents/week across poultry methods. Estimates for higher, but not lower, intake percentiles differed across RM methods. Compared to the reference, Method 1 was ≥3.0 oz-equivalents/week lower from 20th-70th percentiles, ≥6.0 oz-equivalents/week lower from 75th-90th percentiles, and ≥9.0 oz-equivalents/week lower for the 95th percentile. Method 4, but not Method 3, was ≥3.0 oz-equivalents/week higher than the reference from 50 to 95th percentiles. The population percentage that exceeded allotments was 27 ± 1.8% lower for Method 1, 9 ± 0.8% higher for Method 3, and 14 ± 0.9% higher for Method 4 compared to the reference. Differences were less pronounced for poultry. Our analysis quantifies the magnitude of bias introduced by heterogeneous meat food group methodology. Explicit descriptions of meat food groups are important for development of dietary recommendations to ensure that research studies are compared appropriately.


2021 ◽  
Vol 12 ◽  
Author(s):  
Joaquín A. Ibáñez-Alfonso ◽  
Juan Andrés Hernández-Cabrera ◽  
Jon Andoni Duñabeitia ◽  
Adelina Estévez ◽  
Pedro Macizo ◽  
...  

Research on reading comprehension in immigrant students is heterogeneous and conflicting. Differences in socioeconomic status and cultural origins are very likely confounds in determining whether differences to native pupils can be attributed to immigrant status. We collected data on 312 Spanish students of Native, of Hispanic origin–therefore with the same family language as native students- and Non-Hispanic origin, while controlling for socioeconomic status, non-verbal reasoning and school membership. We measured reading comprehension, knowledge of syntax, sentence comprehension monitoring, and vocabulary. Differences among groups appeared only in vocabulary and syntax (with poorer performance in the non-Hispanic group), with no differences in reading comprehension. However, regression analyses showed that most of the variability in reading comprehension was predicted by age, socioeconomic status, non-verbal reasoning, and comprehension monitoring. Group membership did not significantly contribute to explain reading comprehension variability. The present study supports the idea that socioeconomically disadvantaged students, both native and immigrants from diverse cultural backgrounds, irrespective of the language of origin, are probably equally at risk of poor reading comprehension.


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