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Does presence of metabolic syndrome impact anxiety and depressive disorder screening results in middle aged and elderly individuals? A population based study

Overview of attention for article published in BMC Psychiatry, January 2018
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Title
Does presence of metabolic syndrome impact anxiety and depressive disorder screening results in middle aged and elderly individuals? A population based study
Published in
BMC Psychiatry, January 2018
DOI 10.1186/s12888-017-1576-8
Pubmed ID
Authors

Jurate Butnoriene, Vesta Steibliene, Ausra Saudargiene, Adomas Bunevicius

Abstract

Depressive and anxiety disorders are common in primary care setting but often remain undiagnosed. Metabolic syndrome (MetS) is also prevalent in the general population and can impair recognition of common mental disorders due to significant co-morbidity and overlap with psychiatric symptoms included in self-reported depression/anxiety screening tools. We investigated if MetS has an impact on the accuracy of current major depressive disorder (MDD) and generalized anxiety disorder (GAD) screening results using the Hospital Anxiety and Depression scale (HADS). A total of 1115 (562 men; mean age 62.0 ± 9.6 years) individuals of 45+ years of age were randomly selected from the general population and evaluated for current MetS; depressive and anxiety symptoms (HADS); and current MDD and GAD (Mini International Neuropsychiatric Interview [MINI]). The MetS was diagnosed in 34.4% of the study participants. Current MDD and GAD were more common in individuals with MetS relative to individuals without MetS (25.3% vs 14.2%, respectively, p < 0.001; and 30.2% vs 20.9%, respectively, p < 0.001). The ROC analyses demonstrated that optimal thresholds of the HADS-Depression subscale for current MDE were ≥9 in individuals with MetS (sensitivity = 87%, specificity = 73% and PPV = 52%) and ≥8 in individuals without MetS (sensitivity = 81%, specificity = 78% and PPV = 38%). At threshold of ≥9 the HADS-Anxiety subscale demonstrated optimal psychometric properties for current GAD screening in individuals with MetS (sensitivity = 91%, specificity = 85% and PPV = 72%) and without MetS (sensitivity = 84%, specificity = 83% and PPV = 56%). The HADS is a reliable screening tool for current MDE and GAD in middle aged and elderly population with and without MetS. Optimal thresholds of the HADS-Depression subscale for current MDD is ≥9 for individuals with MetS and ≥8 - without MetS. Optimal threshold of the HADS-Anxiety subscale is ≥9 for current GAD in individuals with and without MetS. The presence of MetS should be considered when interpreting depression screening results.

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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 %
Other 6 8%
Student > Master 6 8%
Student > Bachelor 6 8%
Researcher 5 7%
Student > Postgraduate 4 5%
Other 14 19%
Unknown 32 44%
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Nursing and Health Professions 10 14%
Psychology 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Arts and Humanities 2 3%
Other 8 11%
Unknown 30 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 January 2018.
All research outputs
#15,536,305
of 25,402,889 outputs
Outputs from BMC Psychiatry
#3,464
of 5,465 outputs
Outputs of similar age
#243,518
of 449,958 outputs
Outputs of similar age from BMC Psychiatry
#58
of 84 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,465 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 35th percentile – i.e., 35% 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 449,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.