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Application of a stratum-specific likelihood ratio analysis in a screen for depression among a community-dwelling population in Japan

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2017
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Title
Application of a stratum-specific likelihood ratio analysis in a screen for depression among a community-dwelling population in Japan
Published in
Neuropsychiatric Disease and Treatment, September 2017
DOI 10.2147/ndt.s142517
Pubmed ID
Authors

Norio Sugawara, Ayako Kaneda, Ippei Takahashi, Shigeyuki Nakaji, Norio Yasui-Furukori

Abstract

Efficient screening for depression is important in community mental health. In this study, we applied a stratum-specific likelihood ratio (SSLR) analysis, which is independent of the prevalence of the target disease, to screen for depression among community-dwelling individuals. The Center for Epidemiologic Studies Depression Scale (CES-D) and the Mini International Neuropsychiatric Interview (MINI) were administered to 789 individuals (19-87 years of age) who participated in the Iwaki Health Promotion Project 2011. Major depressive disorder (MDD) was assessed using the MINI. For MDD, the SSLRs were 0.13 (95% CI 0.04-0.40), 3.68 (95% CI 1.37-9.89), and 24.77 (95% CI 14.97-40.98) for CES-D scores of 0-16, 17-20, and above 21, respectively. The validity of the CES-D is confirmed, and SSLR analysis is recommended for its practical value for the detection of individuals with the risk of MDD in the Japanese community.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 11%
Student > Postgraduate 2 11%
Student > Bachelor 2 11%
Researcher 2 11%
Lecturer 1 6%
Other 1 6%
Unknown 8 44%
Readers by discipline Count As %
Psychology 5 28%
Medicine and Dentistry 3 17%
Materials Science 1 6%
Nursing and Health Professions 1 6%
Unknown 8 44%
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 15 September 2017.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,869
of 3,120 outputs
Outputs of similar age
#208,507
of 324,978 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#40
of 77 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,120 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% 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 324,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.