Evidence map›Paper›PMID 41426482›Full record

ArticleFrontiers in sleep2023

Doctor-diagnosed sleep disorders in the United States: Prevalence and impact of tobacco smoke exposure and vitamin D deficiency. A population-based study.

Philip Kum-Nji, Samuel Taylor, Bah Tanwi

Abstract read
In one paragraph

Article in Frontiers in sleep, 2023. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

3 authors.

Philip Kum-NjiChildren's Hospital of Richmond at the Virginia Commonwealth University School of Medicine, Richmond, VA, United States.
Samuel TaylorDepartment of Neurology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.
Bah TanwiSpecialist Neurologist in Private Practice, VMP, Prince George, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: We determined the prevalence of physician-diagnosed sleep disorder and its association with tobacco smoke exposure and vitamin D deficiency. Methods: The National Health and Nutrition Examination Survey (NHANES) of 2011-2012 data base was used for the study. Subjects were asked two questions: "Ever told your doctor you had trouble sleeping?" and "Ever told by doctor have sleep disorder?" The answer "yes" to the second question indicated presence of a doctor-diagnosed sleep disorder (DSD) and "no" indicated its absence. Tobacco smoke exposure was defined by serum cotinine levels while vitamin D levels were measured by serum 25(OH) D. Eight selected variables included in the analyses were BMI, age, gender, smoking exposure, vitamin D levels, income, insurance, and race. Univariate and multivariate analyses were conducted to determine if tobacco smoke exposure and Vitamin D were each predictive of DSD. Results: Of 5,470 subjected aged 16 to 80+ years about 9% had doctor-diagnosed sleep disorder (DSD). In a multiple regression analysis, active tobacco smoking was predictive of DSD (OR 1.92; 95% CI = 1.38-2.69), while passive smoke exposure was not, even after controlling for all the other significant variables (OR 0.93; 95% CI = 0.57-1.52). The other variables significantly associated with DSD were by order of importance BMI ( Conclusion: The prevalence of physician-diagnosed DSD was about 9%. Active smoking but not passive smoking as defined by cotinine levels was significantly associated with DSD. Vitamin D was not predictive of DSD. Future studies are therefore needed to demonstrate whether smoking cessation could help reduce DSD.

Indexed as

cotininerisk factorssleep disorderstobacco smoke exposurevitamin D

Identifiers

PMID41426482
PMCPMC12713968

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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.