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The association between the subjective memory complaints scale and depressive state and cognitive impairment: a factor analysis

Overview of attention for article published in Neuropsychiatric Disease and Treatment, November 2015
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Title
The association between the subjective memory complaints scale and depressive state and cognitive impairment: a factor analysis
Published in
Neuropsychiatric Disease and Treatment, November 2015
DOI 10.2147/ndt.s93539
Pubmed ID
Authors

Tetsu Tomita, Norio Yasui-Furukori, Norio Sugawara, Ippei Takahashi, Kaori Sawada, Kazuhiko Nakamura

Abstract

We aimed to discriminate individuals with depressive state from individuals with cognitive impairment among community-dwelling people using the subjective memory complaints (SMC) scale. The study group consisted of 289 volunteers (over 60 years old; 104 males and 185 females). Participants' SMCs were assessed using the SMC scale. The Japanese version of the Center for Epidemiologic Studies for Depression scale and the Mini-Mental State Examination were administered. Participants whose Center for Epidemiologic Studies for Depression scores were 16 or higher were defined as the depressive group and participants whose Mini-Mental State Examination scores were less than 24 were defined as the cognitive impairment group. Exploratory factor analysis was performed to identify the factor structure of the items of the SMC scale. A multiple logistic regression analysis of the association between depressive state and cognitive impairment and the score of each factor was performed. In the final factor analysis model, six items of the SMC scale remained, and a two-factor structure was adequate. Factor 1 included the items 8, 9, and 10 about thought or the ability to think; thus, Factor 1 was defined as "thought disturbance factor". Factor 2 included the items 1, 2, and 4 about memory or forgetfulness; thus, Factor 2 was defined as "memory disturbance factor". In the multiple logistic regression analysis, Factor 1 was significantly associated with depressive state and Factor 2 was significantly associated with cognitive impairment. For individuals with SMCs, we might be able to discriminate depressive state or depression from cognitive impairment or dementia through a detailed investigation using the SMC scale.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Master 6 15%
Student > Doctoral Student 6 15%
Student > Ph. D. Student 4 10%
Student > Postgraduate 3 8%
Other 8 20%
Unknown 7 18%
Readers by discipline Count As %
Psychology 15 38%
Medicine and Dentistry 4 10%
Neuroscience 4 10%
Social Sciences 3 8%
Nursing and Health Professions 2 5%
Other 1 3%
Unknown 11 28%
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 24 November 2015.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,583
of 3,132 outputs
Outputs of similar age
#156,989
of 294,811 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#57
of 73 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 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 45th percentile – i.e., 45% 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 294,811 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 73 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.