Julien Teitler1, Bethany M Wood2, Weiwen Zeng3, Melissa L Martinson4, Rayven Plaza3, Nancy E Reichman5. 1. The School of Social Work, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA. 2. Steve Hicks School of Social Work, The University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX 78712, USA.. Electronic address: bethanymwood@utexas.edu. 3. Steve Hicks School of Social Work, The University of Texas at Austin, 1925 San Jacinto Blvd, Austin, TX 78712, USA. 4. School of Social Work, University of Washington, 4101 15th Ave NE, Seattle, WA 98105, USA. 5. Robert Wood Johnson Medical School, Rutgers University, Child Health Institute of New Jersey, 89 French Street, Room 1348, New Brunswick, NJ 08903, USA.
Abstract
PURPOSE: To document gender-specific racial-ethnic disparities in cardiovascular (CV) conditions and risk factors net of socioeconomic status (SES) across the lifespan. METHODS: Using pooled data from the 1999 to 2016 U.S. National Health and Nutrition Examination Survey, we document gender-specific proportions of non-Hispanic Whites, non-Hispanic Blacks, and Hispanics ages 12-69 years with various socioeconomic characteristics and CV conditions. We then further disaggregate into 10-year age groups and present unadjusted and SES-adjusted prevalence of each CV condition for each gender/racial-ethnic/age group. RESULTS: Racial-ethnic differences in the prevalence of CV conditions are large for some conditions, emerge early in adulthood, and remain relatively constant though age 69. Only small proportions of the differences can be attributed to differences in SES across groups; attenuation after adjusting for income, education, and available measures of wealth ranged from 0 to 2.3 percentage points. Black-White differences in prevalence of CV conditions differ substantially and systematically by gender; White females have larger advantages or smaller disadvantages (depending on indicator) relative to Black females than White males do relative to Black males. CONCLUSIONS: Racial-ethnic disparities in CV conditions are rooted early in the life course, do not mirror socioeconomic disparities, and vary considerably by gender. Explanations likely involve early life experiences such as racial discrimination and entrenched inequality.
PURPOSE: To document gender-specific racial-ethnic disparities in cardiovascular (CV) conditions and risk factors net of socioeconomic status (SES) across the lifespan. METHODS: Using pooled data from the 1999 to 2016 U.S. National Health and Nutrition Examination Survey, we document gender-specific proportions of non-Hispanic Whites, non-Hispanic Blacks, and Hispanics ages 12-69 years with various socioeconomic characteristics and CV conditions. We then further disaggregate into 10-year age groups and present unadjusted and SES-adjusted prevalence of each CV condition for each gender/racial-ethnic/age group. RESULTS: Racial-ethnic differences in the prevalence of CV conditions are large for some conditions, emerge early in adulthood, and remain relatively constant though age 69. Only small proportions of the differences can be attributed to differences in SES across groups; attenuation after adjusting for income, education, and available measures of wealth ranged from 0 to 2.3 percentage points. Black-White differences in prevalence of CV conditions differ substantially and systematically by gender; White females have larger advantages or smaller disadvantages (depending on indicator) relative to Black females than White males do relative to Black males. CONCLUSIONS: Racial-ethnic disparities in CV conditions are rooted early in the life course, do not mirror socioeconomic disparities, and vary considerably by gender. Explanations likely involve early life experiences such as racial discrimination and entrenched inequality.
Authors: Mercedes R Carnethon; Jia Pu; George Howard; Michelle A Albert; Cheryl A M Anderson; Alain G Bertoni; Mahasin S Mujahid; Latha Palaniappan; Herman A Taylor; Monte Willis; Clyde W Yancy Journal: Circulation Date: 2017-10-23 Impact factor: 29.690
Authors: K G M M Alberti; Robert H Eckel; Scott M Grundy; Paul Z Zimmet; James I Cleeman; Karen A Donato; Jean-Charles Fruchart; W Philip T James; Catherine M Loria; Sidney C Smith Journal: Circulation Date: 2009-10-05 Impact factor: 29.690
Authors: Elizabeth J Williamson; Alex J Walker; Krishnan Bhaskaran; Seb Bacon; Chris Bates; Caroline E Morton; Helen J Curtis; Amir Mehrkar; David Evans; Peter Inglesby; Jonathan Cockburn; Helen I McDonald; Brian MacKenna; Laurie Tomlinson; Ian J Douglas; Christopher T Rentsch; Rohini Mathur; Angel Y S Wong; Richard Grieve; David Harrison; Harriet Forbes; Anna Schultze; Richard Croker; John Parry; Frank Hester; Sam Harper; Rafael Perera; Stephen J W Evans; Liam Smeeth; Ben Goldacre Journal: Nature Date: 2020-07-08 Impact factor: 49.962