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Validation of the adapted Leeds sleep evaluation questionnaire in Ethiopian university students

Overview of attention for article published in Health and Quality of Life Outcomes, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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blogs
1 blog
twitter
1 X user
facebook
1 Facebook page
reddit
1 Redditor

Citations

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15 Dimensions

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63 Mendeley
Title
Validation of the adapted Leeds sleep evaluation questionnaire in Ethiopian university students
Published in
Health and Quality of Life Outcomes, March 2018
DOI 10.1186/s12955-018-0876-0
Pubmed ID
Authors

Md. Dilshad Manzar, Mohammed Salahuddin, Tarekegn Tesfaye Maru, Ahmad Alghadir, Shahnawaz Anwer, Ahmed S. Bahammam, Seithikurippu R. Pandi-Perumal

Abstract

Current evidence supports the applicability of the Leeds Sleep Evaluation Questionnaire (LSEQ) in screening for insomnia. The psychometric properties of the LSEQ have never been investigated in an African population. Therefore, this study aimed to validate the adapted version of the LSEQ-Mizan (LSEQ-M) in Ethiopian university students. Of a preliminary sample of 750 (random sampling), 424 students (age = 21.87 ± 4.13 years and body mass index = 20.84 ± 3.18 kg/m2) from Mizan-Tepi University, Mizan-Aman, South-west Ethiopia completed the LSEQ-M, the General Anxiety Disorder Scale-7 and a semi-structured questionnaire for socio-demographics. Insomnia was screened in accordance with the International Classification of Sleep Disorders as a measure of concurrent validity. Although, individual items showed ceiling and floor effect, the LSEQ-M as a scale did not have these effects. Good internal consistency (Cronbach's alpha of 0.84) and strong internal homogeneity as measured by the correlation coefficient between items scores and the LSEQ-M global score was found. The LSEQ-M showed excellent screening applicability for insomnia with optimal cut-off scores of 52.6 (sensitivity 94%, specificity 80%), and the area under the curve, 0.95 (p < 0.0001). The original 4-Factor model was valid in Ethiopian university students for screening for insomnia. The LSEQ-M has excellent psychometric validity in screening for insomnia among Ethiopian university students.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Student > Bachelor 8 13%
Student > Ph. D. Student 6 10%
Lecturer 5 8%
Professor 4 6%
Other 11 17%
Unknown 21 33%
Readers by discipline Count As %
Medicine and Dentistry 16 25%
Psychology 8 13%
Nursing and Health Professions 7 11%
Neuroscience 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 11%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 March 2018.
All research outputs
#3,966,876
of 23,026,672 outputs
Outputs from Health and Quality of Life Outcomes
#397
of 2,187 outputs
Outputs of similar age
#78,866
of 333,594 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#29
of 56 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% of its peers.
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 333,594 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 56 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.