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Disentangling Race and Socioeconomic Status in Health Disparities Research: an Examination of Black and White Clergy

Overview of attention for article published in Journal of Racial and Ethnic Health Disparities, December 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Disentangling Race and Socioeconomic Status in Health Disparities Research: an Examination of Black and White Clergy
Published in
Journal of Racial and Ethnic Health Disparities, December 2017
DOI 10.1007/s40615-017-0449-7
Pubmed ID
Authors

Andrew D. Case, David E. Eagle, Jia Yao, Rae Jean Proeschold-Bell

Abstract

Sophisticated adjustments for socioeconomic status (SES) in health disparities research may help illuminate the independent role of race in health differences between Blacks and Whites. In this study of people who share the same occupation (United Methodist Church clergy) and state of residence (North Carolina), we employed naturalistic and statistical matching to estimate the association between race-above and beyond present SES and other potential confounds-and health disparities. We compared the health of 1414 White and 93 Black clergy. Then, we used propensity scores to match Black and White participants on key socioeconomic, demographic, occupational, and physical activity characteristics and re-examined differences in health. Prior to propensity score matching, Black clergy reported worse physical health than their White counterparts. They had greater body mass index, higher prevalence of diabetes and hypertension, and lower physical health functioning. White clergy reported less favorable mental health. They had higher severity of depression and anxiety symptoms as well as lower quality of life and mental health functioning. Propensity score analysis revealed that matching on SES and other key variables accounted for most, but not all, of the observed racial differences. Racial disparities in hypertension, depression severity, and mental health functioning persisted despite adjustments. Race contributed to health disparities in some outcomes in our study population, above and beyond our measures of participants' present SES and key demographic, occupational, and physical activity variables. This study provides evidence supporting the position that race contributes to health disparities through pathways other than SES.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Student > Master 4 6%
Researcher 3 5%
Other 12 19%
Unknown 21 34%
Readers by discipline Count As %
Psychology 9 15%
Nursing and Health Professions 9 15%
Social Sciences 7 11%
Medicine and Dentistry 5 8%
Engineering 2 3%
Other 9 15%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2018.
All research outputs
#7,296,667
of 23,015,156 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#647
of 1,023 outputs
Outputs of similar age
#147,087
of 440,666 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#6
of 16 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.3. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,666 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.