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Insomnia and the risk of depression: a meta-analysis of prospective cohort studies

Overview of attention for article published in BMC Psychiatry, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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17 news outlets
blogs
4 blogs
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11 X users
facebook
1 Facebook page
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2 YouTube creators

Citations

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366 Dimensions

Readers on

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430 Mendeley
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Title
Insomnia and the risk of depression: a meta-analysis of prospective cohort studies
Published in
BMC Psychiatry, November 2016
DOI 10.1186/s12888-016-1075-3
Pubmed ID
Authors

Liqing Li, Chunmei Wu, Yong Gan, Xianguo Qu, Zuxun Lu

Abstract

Observational studies suggest that insomnia might be associated with an increased risk of depression with inconsistent results. This study aimed at conducting a meta-analysis of prospective cohort studies to evaluate the association between insomnia and the risk of depression. Relevant cohort studies were comprehensively searched from the PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases (up to October 2014) and from the reference lists of retrieved articles. A random-effects model was used to calculate the pooled risk estimates and 95 % confidence intervals (CIs). The I (2) statistic was used to assess the heterogeneity and potential sources of heterogeneity were assessed with meta-regression. The potential publication bias was explored by using funnel plots, Egger's test, and Duval and Tweedie trim-and-fill methods. Thirty-four cohort studies involving 172,077 participants were included in this meta-analysis with an average follow-up period of 60.4 months (ranging from 3.5 to 408). Statistical analysis suggested a positive relationship between insomnia and depression, the pooled RR was 2.27 (95 % CI: 1.89-2.71), and a high heterogeneity was observed (I (2)  = 92.6 %, P < 0.001). Visual inspection of the funnel plot revealed some asymmetry. The Egger's test identified evidence of substantial publication bias (P <0.05), but correction for this bias using trim-and-fill method did not alter the combined risk estimates. This meta-analysis indicates that insomnia is significantly associated with an increased risk of depression, which has implications for the prevention of depression in non-depressed individuals with insomnia symptoms.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 430 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 430 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 53 12%
Researcher 48 11%
Student > Ph. D. Student 37 9%
Student > Master 35 8%
Student > Doctoral Student 32 7%
Other 74 17%
Unknown 151 35%
Readers by discipline Count As %
Medicine and Dentistry 77 18%
Psychology 65 15%
Nursing and Health Professions 22 5%
Neuroscience 22 5%
Biochemistry, Genetics and Molecular Biology 12 3%
Other 54 13%
Unknown 178 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 161. 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 05 March 2024.
All research outputs
#247,451
of 25,052,270 outputs
Outputs from BMC Psychiatry
#69
of 5,342 outputs
Outputs of similar age
#4,893
of 318,438 outputs
Outputs of similar age from BMC Psychiatry
#2
of 97 outputs
Altmetric has tracked 25,052,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 98% 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 318,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.