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Insomnia in the Italian Population During Covid-19 Outbreak: A Snapshot on One Major Risk Factor for Depression and Anxiety

Overview of attention for article published in Frontiers in Psychiatry, December 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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2 news outlets
blogs
1 blog
twitter
1 X user

Citations

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56 Dimensions

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131 Mendeley
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Title
Insomnia in the Italian Population During Covid-19 Outbreak: A Snapshot on One Major Risk Factor for Depression and Anxiety
Published in
Frontiers in Psychiatry, December 2020
DOI 10.3389/fpsyt.2020.579107
Pubmed ID
Authors

Valeria Bacaro, Marco Chiabudini, Carlo Buonanno, Paola De Bartolo, Dieter Riemann, Francesco Mancini, Chiara Baglioni

Abstract

Objectives: One of the largest clusters of Covid-19 infections was observed in Italy. The population was forced to home confinement, exposing individuals to increased risk for insomnia, which is, in turn, associated with depression and anxiety. Through a cross-sectional online survey targeting all Italian adult population (≥18 yrs), insomnia prevalence and its interactions with relevant factors were investigated. Methods: The survey was distributed from 1st April to 4th May 2020. We collected information on insomnia severity, depression, anxiety, sleep hygiene behaviors, dysfunctional beliefs about sleep, circadian preference, emotion regulation, cognitive flexibility, perceived stress, health habits, self-report of mental disorders, and variables related to individual difference in life changes due to the pandemic's outbreak. Results: The final sample comprised 1,989 persons (38.4 ± 12.8 yrs). Prevalence of clinical insomnia was 18.6%. Results from multivariable linear regression showed that insomnia severity was associated with poor sleep hygiene behaviors [β = 0.11, 95% CI (0.07-0.14)]; dysfunctional beliefs about sleep [β = 0.09, 95% CI (0.08-0.11)]; self-reported mental disorder [β = 2.51, 95% CI (1.8-3.1)]; anxiety [β = 0.33, 95% CI (0.25-0.42)]; and depression [β = 0.24, 95% CI (0.16-0.32)] symptoms. Conclusion: An alarming high prevalence of clinical insomnia was observed. Results suggest that clinical attention should be devoted to problems of insomnia in the Italian population with respect to both prevention and treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 11%
Other 12 9%
Student > Master 12 9%
Student > Doctoral Student 10 8%
Student > Ph. D. Student 9 7%
Other 22 17%
Unknown 51 39%
Readers by discipline Count As %
Medicine and Dentistry 21 16%
Psychology 15 11%
Nursing and Health Professions 14 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Neuroscience 4 3%
Other 21 16%
Unknown 52 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 11 October 2021.
All research outputs
#1,304,801
of 23,271,751 outputs
Outputs from Frontiers in Psychiatry
#691
of 10,377 outputs
Outputs of similar age
#37,280
of 506,170 outputs
Outputs of similar age from Frontiers in Psychiatry
#34
of 512 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 93% 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 506,170 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 92% of its contemporaries.
We're also able to compare this research output to 512 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 93% of its contemporaries.