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Evaluating lifestyle and health‐related characteristics of older adults with co‐occurring depressive symptoms and cardiometabolic abnormalities

Overview of attention for article published in International Journal of Geriatric Psychiatry, April 2015
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Article details
Title
Evaluating lifestyle and health‐related characteristics of older adults with co‐occurring depressive symptoms and cardiometabolic abnormalities
Published in
International Journal of Geriatric Psychiatry, April 2015
DOI 10.1002/gps.4290
Pubmed ID
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Abstract

Comorbid depression and cardiometabolic abnormalities might represent an important subgroup of depression. The aim of the present study was to evaluate lifestyle and health-related characteristics of individuals with both depressive symptoms and cardiometabolic abnormalities. Data were from the English Longitudinal Study of Ageing. The sample was comprised of 5365 adults aged 50-80 years. High depressive symptoms were based on the eight-item Center for Epidemiologic Studies - Depression scale. Cardiometabolic abnormalities were defined as having ≥3 cardiometabolic risk factors (hypertension, impaired glycemic control, systemic inflammation, low high-density lipoprotein cholesterol, hypertriglyceridemia, and central obesity). Four groups were created based on Center for Epidemiologic Studies - Depression scores and cardiometabolic abnormalities: those with (i) comorbid depressive symptoms and cardiometabolic abnormalities (DCM); (ii) depressive symptoms only (DnoCM); (iii) cardiometabolic abnormalities only; and (iv) neither depressive symptoms nor cardiometabolic abnormalities. Lifestyle and health-related characteristics of the four groups were compared using chi-square tests. A modified Poisson regression analysis was performed to compare the DCM and the DnoCM groups with respect to lifestyle and health-related characteristics. Those in the DCM group were significantly less physically active (p = 0.003), had poorer self-rated health (p < 0.001), had lower income (p = 0.001), and were more likely to be retired (p < 0.001) than those in the DnoCM group. The pattern of results remained after controlling for other lifestyle and health-related factors. These results provide support for a cardiometabolic subgroup of depression that is associated with physical inactivity, poorer self-rated health, lower income, and retirement. Copyright © 2015 John Wiley & Sons, Ltd.

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The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 16%
Student > Ph. D. Student 10 15%
Researcher 6 9%
Student > Bachelor 5 7%
Lecturer 3 4%
Other 10 15%
Unknown 22 33%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Psychology 10 15%
Nursing and Health Professions 7 10%
Social Sciences 6 9%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 10%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 April 2015.
All research outputs
#22,018,175
of 24,565,648 outputs
Outputs from International Journal of Geriatric Psychiatry
#2,308
of 2,535 outputs
Outputs of similar age
#231,782
of 269,357 outputs
Outputs of similar age from International Journal of Geriatric Psychiatry
#27
of 37 outputs
Altmetric has tracked 24,565,648 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,535 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 1st percentile – i.e., 1% 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 269,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.