Evidence map›Paper›PMID 41041365›Full record

ArticleFrontiers in public health2025

Joint effect of sleep duration and sleep quality on self-rated health among Canadian adults: estimating relative excess risk due to interaction from a nationwide survey.

Shirmin Bintay Kader, Nahin Shakurun, Jubayer Mumin, Naomi Noor

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Shirmin Bintay KaderDepartment of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Nahin ShakurunDepartment of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Jubayer MuminDepartment of Global Public Health, Karolinska Institutet (KI), Solna, Sweden.
Naomi NoorDepartment of Global Public Health, Karolinska Institutet (KI), Solna, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-rated health (SRH) is a globally recognized measure of health status. Previous studies have established that inadequate sleep duration and trouble falling asleep combinedly has a greater negative impact on health than either factor alone. This study aims to investigate the excess relative risk due to the interaction between short sleep duration and trouble sleeping on SRH. Method: We used the 2017-18 Canadian Community Health Survey (CCHS) publicly used microdata file. SRH was measured on a 5-point Likert scale from poor to excellent and dichotomized into "Good or Better" and "Fair or Poor." Sleep duration was categorized into "Less than 7 h" and "More than 7 h," while trouble sleeping was categorized as "Yes" or "No." A joint variable derived from these created four groups: "no sleep issues," "fewer sleeping hours (<7 h) only," "trouble sleeping only," and "fewer hours & trouble sleeping." A weighted univariable and multivariable logistic regression with robust variance estimation was conducted to estimate relative risk due to interaction. Results: Among Canadian adults, 40.96% reported less than 7 h of sleep, and 48.38% reported trouble sleeping. Approximately 11% had Fair or Poor SRH. The odds ratio for Fair or Poor SRH was 1.34 (95% CI: 1.23-1.46) for short sleep duration, 2.38 (95% CI: 2.18-2.61) for troubled sleep, and 2.97 (95% CI, 2.66-3.33) for both conditions. The adjusted RERI was 0.80 (95% CI, 0.40-1.21). Implication: These results imply that shorter duration of sleep and troubled sleeping may increase the negative influence on self-rated health.

Indexed as

Health StatusSleepSleep QualityAdolescentAdultAgedCanadaFemaleHealth SurveysHumansMaleMiddle AgedSelf ReportSleep DurationTime FactorsYoung AdultCCHSRERIself rated healthsleep healthsleep qualitytrouble sleeping

Identifiers

PMID41041365
PMCPMC12483862

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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.