Evidence map›Paper›PMID 37648648›Full record

ArticleSleep health2023

Day-to-day deviations in sleep parameters and biological aging: Findings from the NHANES 2011-2014.

Xiaoling Wang, Yanyan Xu, Xinyue Li, Asifhusen Mansuri, William V McCall, Yutao Liu, Shaoyong Su

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Xiaoling WangGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, Georgia, USA; Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, USA. Electronic address: xwang@augusta.edu.
Yanyan XuGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, Georgia, USA; Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
Xinyue LiSchool of Data Science, City University of Hong Kong, Hong Kong, China.
Asifhusen MansuriDivision of Pediatric Nephrology and Hypertension, Children's Hospital of Georgia, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
William V McCallDepartment of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
Yutao LiuDepartment of Cellular Biology & Anatomy, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
Shaoyong SuGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, Georgia, USA.
Augusta University · USCity University of Hong Kong · HK

Funding

Role of Skeletal Muscle Health on Poor LIfestyle Related Type 2 Diabetes and Cardiovascular Disease RiskR01DK117365 · NIDDK · AUGUSTA UNIVERSITY · PI HARRIS, RYAN A, WANG, XIAOLING · 2018 to 2022
$3.3M
Psychosocial stress, epigenetics and health disparity in hypertensionR01MD013307 · NIMHD · AUGUSTA UNIVERSITY · PI SU, SHAOYONG · 2019 to 2023
$3.0M
Pediatric Ambulatory Blood Pressure Trajectory and Brain Health in MidlifeR01HL143440 · NHLBI · AUGUSTA UNIVERSITY · PI MCDOWELL, JENNIFER E, SU, SHAOYONG · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL143440NIDDK NIH HHS R01 DK117365NIMHD NIH HHS R01 MD013307
6 · The paper itself

Abstract

objectivesThe majority of the previous research has focused on the impact of average sleep parameters on longevity. In this study, we aimed to investigate the associations of day-to-day deviations in sleep parameters with biological ages among 6052 adults participating in the 2011-2014 waves of the US National Health and Nutrition Examination Survey.

methodsSleep parameters, including sleep duration, efficiency, midpoint, and day-to-day deviations in sleep parameters, including standard deviation of sleep duration (sleep variability), standard deviation of sleep midpoint (sleep irregularity), catch-up sleep, and social jetlag, were obtained from 4 to 7 days of 24-h accelerometer recording. We used physiological data to compute measurements of biological aging according to 3 published algorithms: PhenoAge, Klemera-Doubal method Biological Age, and homeostatic dysregulation.

resultsAfter adjustment of multiple covariates, we observed that all parameters of day-to-day deviations in sleep were significantly associated with biological aging with larger sleep variability, larger sleep irregularity, more catch-up sleep, and more social jetlag linked with more advanced biological aging. The significant associations of sleep irregularity, catch-up sleep, and social jetlag with biological aging indices remained even after adjustment for sleep duration, efficiency, and midpoint.

conclusionIn this study, we found that day-to-day deviations in sleep parameters are independently associated with biological aging in US general population. Since day-to-day deviation in sleep is a modifiable behavioral factor, our finding suggests that intervention aiming at increasing regularity in sleep patterns may be a novel approach for extending a healthy life span.

Indexed as

Circadian RhythmSleepAdultAgingHumansJet Lag SyndromeNutrition SurveysBiological agingCircadian rhythmNHANESSleep variability

Identifiers

PMID37648648
PMCPMC10843622
OpenAlexW4386214015

What OpenQuestion holds

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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.