Evidence map›Paper›PMID 40351739›Full record

ArticlePatient preference and adherence2025

Perceived Stress and Clinical Insomnia in Primary Care: Associations with Lifestyle and Medication Use.

Carlos De Las Cuevas, María Segovia Díaz

Abstract read
In one paragraph

Article in Patient preference and adherence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Carlos De Las CuevasDepartment of Internal Medicine, Dermatology and Psychiatry and Instituto Universitario de Neurociencia (IUNE), University of La Laguna, La Laguna, Canary Islands, Spain.ORCID 0000-0001-5742-905X
María Segovia DíazSchool of Medicine of the University of La Laguna, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Insomnia and perceived stress are among the most prevalent health concerns in primary care, yet their complex relationship remains underexplored. This study examines the association between perceived stress and insomnia severity, while considering the potential moderating or mediating effects of lifestyle factors and medication use. Methods: A cross-sectional study was conducted with 300 consecutive primary care patients who completed validated questionnaires assessing insomnia severity (Insomnia Severity Index, ISI) and perceived stress (Perceived Stress Scale, PSS). Logistic regression models were employed to identify predictors of clinical insomnia and explore key relationships. Results: A moderate but statistically significant correlation (r = 0.460, p < 0.001) was observed between perceived stress and insomnia severity. In logistic regression analysis, higher perceived stress scores (OR = 1.134, p < 0.001) and hypnotic medication use (OR = 3.220, p < 0.001) were significant predictors of clinical insomnia. Interestingly, alcohol consumption was unexpectedly associated with insomnia (OR = 0.551, p = 0.048), warranting further exploration. No significant associations were found for caffeine intake, tobacco use, or demographic variables. The model explained 33% of the variance in insomnia (Nagelkerke Conclusion: These findings highlight the significant role of perceived stress in insomnia severity and underscore the complex interplay between pharmacological interventions and sleep disturbances. While hypnotic medications are commonly used, their long-term impact and potential dependence require careful consideration. Integrating stress-reduction strategies into primary care may improve insomnia management while reducing reliance on pharmacological treatments. Future research should employ longitudinal designs to clarify causality and further explore additional factors influencing sleep disturbances.

Indexed as

insomnialifestyle factorsmental healthperceived stressprimary caresleep medication

Identifiers

PMID40351739
PMCPMC12063695

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.