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Pain severity predicts depressive symptoms over and above individual illnesses and multimorbidity in older adults

Overview of attention for article published in BMC Psychiatry, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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2 Wikipedia pages

Readers on

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73 Mendeley
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Title
Pain severity predicts depressive symptoms over and above individual illnesses and multimorbidity in older adults
Published in
BMC Psychiatry, May 2017
DOI 10.1186/s12888-017-1334-y
Pubmed ID
Authors

Louise Sharpe, Sarah McDonald, Helen Correia, Patrick J. Raue, Tanya Meade, Michael Nicholas, Patricia Arean

Abstract

Multi-morbidity in older adults is commonly associated with depressed mood. Similarly, subjective reports of pain are also associated with both physical illness and increased depressive symptoms. However, whether pain independently contributes to the experience of depression in older people with multi-morbidity has not been studied. In this study, participants were 1281 consecutive older adults presenting to one of 19 primary care services in Australia (recruitment rate = 75%). Participants were asked to indicate the presence of a number of common chronic illnesses, to rate their current pain severity and to complete the Geriatric Depression Scale. Results confirmed that the number of medical illnesses reported was strongly associated with depressive symptoms. Twenty-six percent of participants with multi-morbidity scored in the clinical range for depressive symptoms in comparison to 15% of participants with no illnesses or a single illness. In regression analyses, the presence of chronic pain (t = 5.969, p < 0.0005), diabetes (t = 4.309, p < 0.0005), respiratory (t = 3.720, p < 0.0005) or neurological illness (t = 2.701, p = 0.007) were all independent contributors to depressive symptoms. Even when controlling for each individual illness, and the overall number of illnesses (t = 2.207, p = 0.028), pain severity remained an independent predictor of depressed mood (F change = 28.866, p < 0.0005, t = 5.373, p < 0.0005). Physicians should consider screening for mood problems amongst those with multi-morbidity, particularly those who experience pain.

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 > Ph. D. Student 9 12%
Student > Bachelor 8 11%
Student > Doctoral Student 7 10%
Student > Master 6 8%
Researcher 5 7%
Other 12 16%
Unknown 26 36%
Readers by discipline Count As %
Medicine and Dentistry 21 29%
Psychology 11 15%
Nursing and Health Professions 6 8%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Other 4 5%
Unknown 27 37%
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 01 January 2023.
All research outputs
#7,465,487
of 23,467,261 outputs
Outputs from BMC Psychiatry
#2,529
of 4,856 outputs
Outputs of similar age
#116,219
of 312,075 outputs
Outputs of similar age from BMC Psychiatry
#49
of 119 outputs
Altmetric has tracked 23,467,261 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 4,856 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 46th percentile – i.e., 46% 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 312,075 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 61% of its contemporaries.
We're also able to compare this research output to 119 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 57% of its contemporaries.