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Depressive Symptoms Are Associated with More Hopelessness among White than Black Older Adults

Overview of attention for article published in Frontiers in Public Health, May 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Title
Depressive Symptoms Are Associated with More Hopelessness among White than Black Older Adults
Published in
Frontiers in Public Health, May 2016
DOI 10.3389/fpubh.2016.00082
Pubmed ID
Authors

Shervin Assari, Maryam Moghani Lankarani

Abstract

Hopelessness is a core component of depression. Our information is, however, very limited on ethnic variations in the magnitude of the link between depression and hopelessness. Using a national sample of older adults in United States, we compared Blacks and Whites for the magnitude of the association between depressive symptoms and hopelessness. With a cross-sectional design, we used baseline data of the Religion, Aging, and Health Survey, 2001. Linear regression models were used for data analysis. Depressive symptoms (CES-D) and hopelessness were conceptualized as independent and dependent variables in different models, respectively. Demographic factors (age and gender), socioeconomic status (education and marital status), and health (self-rated health) were covariates. Ethnicity was the moderator. In the pooled sample, higher depressive symptoms were predictive of hopelessness, above and beyond all covariates. We also found significant interactions suggesting that the association between depressive symptoms and hopelessness is weaker among Blacks compared to Whites. In ethnic-specific models, there were significant associations between depressive symptoms and hopelessness among Whites but not Blacks. Depressive symptoms accompany more hopelessness among Whites than Blacks. This finding may explain why Blacks with depression have a lower tendency to commit suicide. Future research should test whether or not Whites with depression better respond to psychotherapies and cognitive behavioral therapies that focus on hope enhancement. This finding may explain differential correlates of depression based on race and ethnicity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 14%
Student > Ph. D. Student 9 12%
Student > Doctoral Student 8 11%
Researcher 5 7%
Student > Bachelor 3 4%
Other 13 18%
Unknown 25 34%
Readers by discipline Count As %
Psychology 19 26%
Nursing and Health Professions 6 8%
Medicine and Dentistry 6 8%
Social Sciences 5 7%
Unspecified 2 3%
Other 5 7%
Unknown 30 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 166. 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
#204,742
of 22,867,327 outputs
Outputs from Frontiers in Public Health
#100
of 9,973 outputs
Outputs of similar age
#4,223
of 298,972 outputs
Outputs of similar age from Frontiers in Public Health
#3
of 73 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 98% 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 298,972 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 98% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.