Evidence map›Paper›PMID 36678268›Full record

ArticleNutrients2023

Association between Selenium Intake and Optimal Sleep Duration: A National Longitudinal Study.

Lingxi Zhao, Shengping Li, Yuzhao Zhu, Tiankun Wang, Yu Su, Zumin Shi, Yangchang Zhang, Yong Zhao

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Lingxi ZhaoSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0002-1020-5291
Shengping LiSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Yuzhao ZhuSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Tiankun WangSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Yu SuSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.
Zumin ShiHuman Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-3099-3299
Yangchang ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China.
Yong ZhaoSchool of Public Health, Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0001-9290-109X

Funding

Chongqing Nutrition Society 2019001
6 · The paper itself

Abstract

Inconsistent findings have been discovered in studies examining the link between dietary selenium (Se) and sleep. Data were obtained from 17,176 people aged 20 and over who participated in the China Health and Nutrition Survey (CHNS) from 2004 to 2011. Face-to-face interviews were used to measure sleep duration in 2004, 2006, 2009, and 2011. To track dietary Se consumption, a 3-day, 24-h recall was undertaken. In the analysis, multilevel mixed-effects logistic regression was employed. The odds ratios (95% confidence intervals) of optimal sleep duration (7-9 h/day) in the regression of Model 4 were 1.00, 1.01 (0.89-1.15) and 1.19 (1.02-1.38) for the three tertiles of selenium consumption, respectively. Only overweight patients displayed a substantial positive connection between Se intake and the optimal sleep duration in the subgroup analysis. In summary, Se intake was significantly associated with optimal sleep duration.

Indexed as

SeleniumAdultChinaDietHumansLongitudinal StudiesNutritional StatusNutrition SurveysSleepSeleniumadultsChinesenutrition surveyselenium intakesleep

Identifiers

PMID36678268
PMCPMC9867097

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.