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Long-Term Reciprocal Associations Between Depressive Symptoms and Number of Chronic Medical Conditions: Longitudinal Support for Black–White Health Paradox

Overview of attention for article published in Journal of Racial and Ethnic Health Disparities, May 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#40 of 1,005)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
9 news outlets
twitter
2 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
64 Mendeley
Title
Long-Term Reciprocal Associations Between Depressive Symptoms and Number of Chronic Medical Conditions: Longitudinal Support for Black–White Health Paradox
Published in
Journal of Racial and Ethnic Health Disparities, May 2015
DOI 10.1007/s40615-015-0116-9
Pubmed ID
Authors

Shervin Assari, Sarah Burgard, Kara Zivin

Abstract

Previous research has identified a Black-White health paradox, which can be defined as less frequent depression despite a higher prevalence of chronic medical conditions among Blacks compared to Whites in the USA. Based on this paradox, we would expect weaker associations between chronic medical conditions and depression among Blacks than Whites. However, the literature on this topic is mostly cross-sectional and has provided findings that contradict the Black-White health paradox. The present longitudinal study extends prior research by assessing Black-White differences in reciprocal associations between number of chronic medical conditions and depressive symptoms over a 25-year period. Data came from the Americans' Changing Lives Study that followed 1034 surviving Black and White respondents for 25 years from 1986 to 2011. Chronic medical conditions were measured based on a count of self-reported physician diagnoses including hypertension, diabetes, chronic lung disease, heart disease, stroke, cancer, and arthritis at baseline (1986) and follow-up (2011). Depressive symptoms were also measured at baseline and follow-up using a 10-item Center for Epidemiological Studies-Depression (CES-D) scale. Multi-group structural equation modeling was used to assess reciprocal associations between baseline and subsequent depressive symptoms and baseline and subsequent chronic medical conditions comparing Black and White respondents. Among White but not Black respondents, a higher number of chronic medical conditions at baseline predicted a greater increase in depressive symptoms over 25 years of follow-up. Among Whites but not Blacks, individuals with more depressive symptoms at baseline developed more chronic medical conditions over time. Findings documented Black-White differences in reciprocal associations between chronic medical conditions and depressive symptoms over time. Our study provides longitudinal evidence for the Black-White health paradox across mid and later life, as reciprocal associations between depression and chronic medical conditions were weaker for Blacks compared to Whites.

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The data shown below were collected from the profiles of 2 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Researcher 7 11%
Student > Master 6 9%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Other 15 23%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Nursing and Health Professions 9 14%
Social Sciences 8 13%
Psychology 6 9%
Neuroscience 2 3%
Other 6 9%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 16 December 2018.
All research outputs
#446,413
of 22,803,211 outputs
Outputs from Journal of Racial and Ethnic Health Disparities
#40
of 1,005 outputs
Outputs of similar age
#5,559
of 264,753 outputs
Outputs of similar age from Journal of Racial and Ethnic Health Disparities
#2
of 18 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 96% of its peers.
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 264,753 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.