APA Briefly: Sex, race/ethnicity data in survey.

1988 ◽  
Author(s):  
Tori DeAngelis
2016 ◽  
Vol 38 (5) ◽  
pp. 314-321
Author(s):  
Karen L. Pellegrin ◽  
Jill B. Miyamura ◽  
Carolyn Ma ◽  
Ronald Taniguchi

2003 ◽  
Vol 1 (SI) ◽  
pp. 91-104 ◽  
Author(s):  
Catherine A. Sorensen ◽  
Betty Wood ◽  
Edward W. Prince

To create a better understanding of Hawai`i’s birthing population so that culturally appropriate strategies to prevent infant mortality could be developed, we undertook an analysis of population-based perinatal data collected in Hawai`i for the years 2000 and 2001. The data were collected by the Pregnancy Risk Assessment Monitoring System (PRAMS). In this system, a stratified random sample of women who delivered a live born infant are mailed a self-administered questionnaire two to six months after they deliver, with telephone follow-up for those who do not respond. A bivariate analyses of maternal characteristics of singleton infants and the prevalence of low birth weight (


Epigenomics ◽  
2020 ◽  
Author(s):  
Ai-ris Y Collier ◽  
Rachel Ledyard ◽  
Diana Montoya-Williams ◽  
Maylene Qiu ◽  
Alexandra E Dereix ◽  
...  

Aim: We conducted a systematic review evaluating race/ethnicity representation in DNA methylomic studies of preterm birth. Data sources: PubMed, EMBASE, CINHAL, Scopus and relevant citations from 1 January 2000 to 30 June 2019. Study appraisal & synthesis methods: Two authors independently identified abstracts comparing DNA methylomic differences between term and preterm births that included race/ethnicity data. Results: 16 studies were included. Black and non-Hispanic Black deliveries were well represented (28%). However, large studies originating from more than 95% White populations were excluded due to unreported race/ethnicity data. Most studies were cross-sectional, allowing for reverse causation. Most studies were also racially/ethnically homogeneous, preventing direct comparison of DNA methylomic differences across race/ethnicities. Conclusion: In DNA methylomic studies, Black women and infants were well represented. However, the literature has limitations and precludes drawing definitive conclusions.


1998 ◽  
Vol 37 (02) ◽  
pp. 188-191 ◽  
Author(s):  
L. Rubin ◽  
P. Dakis

AbstractMethods of collecting race/ethnicity data affect the validity of conclusions based on them as do other factors such as lack of consensus and inadequate definitions for terminology; and misclassification or miscounting of patients. Current data collection instruments do not identify mixed heritage. We propose improving data measurement and collection by including a quantified multiracial/multiethnic heritage category for persons of mixed heritage; a don't know category; and a refuse to reveal category. The resulting problems affect all uses of racial and ethnic data, including health care provision, research, and health planning. More precise race/ ethnicity categories should be encouraged by such means as a 16-category checklist (with instructions to check all which apply) currently in development. The Methods section of all clinical, epidemiologic, and pharmacologic reports should include descriptions of racial measurement and reasons for including or excluding clearly defined populations.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Saurav Das ◽  
Arjun Padalia ◽  
Yan Wang ◽  
Ozan Akca ◽  
Andria L Ford ◽  
...  

Introduction: The need for recruitment of neurologists from underrepresented communities has been emphasized to maintain workforce diversity in academic neurology practice. The objective of the study is to describe the racial and ethnic diversity of neurology residents (NR) pursuing vascular neurology (VN) fellowship. Methods: Cross-sectional study of race/ethnicity of NR and VN fellows using published Graduate Medical Education (GME) census reports from 2006, when race/ethnicity data were first included, to 2018. Proportions were compared using chi-square test. Non-Accreditation Council of GME fellowship data was unavailable for analysis. Results: A total of 24450 NR were included in the sample of which 12718 (52%) were White, 993 (4.1%) Black, 1973(8%) Hispanics, 8232(33%) Asians. Of 910 NR who pursued VN fellowship, 413 (49.2%, SD 12.5%) were White, 27 Black (3%, SD 2.1%), 333 Asians (34%, SD 10.7%) and 78 Hispanics (10%, SD 5%). When comparing periods 2006-10 vs 2016-18, the proportion of White NR has increased by 2% (p=0.014), however, the increase in Black NR is 0.1% and not statistically significant. The proportion of Asian VN fellows significantly increased to 43% in 2016-20 compared to 24% over the entire period (p=0.039). Conclusion: There are racial disparities among NR and fellowship trainees. Even though there is diversity among VN fellows, continued efforts should be made to promote underrepresented ethnic groups.


2002 ◽  
Vol 92 (9) ◽  
pp. 1471-1472 ◽  
Author(s):  
Ulrike Boehmer ◽  
Nancy R. Kressin ◽  
Dan R. Berlowitz ◽  
Cindy L. Christiansen ◽  
Lewis E. Kazis ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document