Evidence map›Paper›PMID 40217503›Full record

ArticleJournal of activity, sedentary and sleep behaviors2024

Regularity of bedtime, wake-up time, and time in bed in mid-life: associations with cardiometabolic health markers with adjustment for physical activity and sedentary time.

Laura Nauha, Vahid Farrahi, Heidi Jurvelin, Timo Jämsä, Maisa Niemelä, Leena Ala-Mursula, Maarit Kangas, Raija Korpelainen

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2024. 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.

Laura NauhaResearch Unit of Population Health, University of Oulu, 5000, 90014, Oulu, Finland. laura.nauha@oulu.fi.ORCID http://orcid.org/0000-0003-0473-5429
Vahid FarrahiResearch Unit of Health Sciences and Technology, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0001-8355-8488
Heidi JurvelinResearch Unit of Population Health, University of Oulu, 5000, 90014, Oulu, Finland.
Timo JämsäResearch Unit of Health Sciences and Technology, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0001-8394-9462
Maisa NiemeläResearch Unit of Health Sciences and Technology, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0002-1008-3263
Leena Ala-MursulaResearch Unit of Population Health, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0003-4531-8306
Maarit KangasInfrastructure for Population Studies, Northern Finland Birth Cohorts, Faculty of Medicine, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0001-5803-4113
Raija KorpelainenResearch Unit of Population Health, University of Oulu, 5000, 90014, Oulu, Finland.ORCID http://orcid.org/0000-0002-3627-0542

Funding

Opetus- ja Kulttuuriministeriö OKM/1096/626/2020Opetus- ja Kulttuuriministeriö OKM/17/626/2016Opetus- ja Kulttuuriministeriö OKM/20/626/2022Opetus- ja Kulttuuriministeriö OKM/43/626/2015Opetus- ja Kulttuuriministeriö OKM/54/626/2019Opetus- ja Kulttuuriministeriö OKM/76/626/2022Opetus- ja Kulttuuriministeriö OKM/85/626/2019Opetus- ja Kulttuuriministeriö OKM/86/626/2014
6 · The paper itself

Abstract

backgroundInsufficient sleep has been linked to the accumulation of cardiometabolic risks while physical activity acts as a protective factor. Also, sleep regularity may play a critical role in maintaining optimal cardiometabolic health. This cross-sectional study examined the association between device-based sleep regularity, waking activity behaviors, and cardiometabolic health markers, including blood pressure level; abdominal adiposity level; and blood glucose, insulin, and cholesterol.

methodsWe included 3698 members of the Northern Finland Birth cohort 1966 who participated in the follow-up study at the age of 46 years between 2012 and 2014 (women 61%). We used seven-day standard deviations of device-based bedtime, wake-up time, and time in bed to reflect sleep regularities. As covariates in linear regression models, we used commonly known potential risk factors in (gender, education, marital status, work schedule, smoking status, alcohol risk use, seven-day time in bed mean, chronotype). In addition to the previous, we used either sedentary time or total physical activity as a covariate (B coefficients with 95% confidence intervals CI).

resultsWhen we considered sedentary time with other covariates, irregularities in bedtime, wake-up time, and time in bed were associated with unfavorable cardiometabolic health markers, such as higher body mass index (bedtime regularity: 0.194, 95% CI [0.072, 0.316], p = 0.002); higher diastolic blood pressure levels (time in bed regularity: 0.175, 95% CI [0.044, 0.306], p = 0.009); and higher 2-h glucose levels (wake-up time regularity: 0.107, 95% CI [0.030, 0.184], p = 0.006). When we considered total physical activity with other covariates, only irregular bedtime was associated with higher waist circumference (B 0.199, 95% CI [0.042, 0.356], p = 0.013). Irregularities in bedtime and wake-up time were not associated with higher diastolic blood pressure, higher visceral fat area or higher fasting insulin level after considering sedentary time or total physical activity with other covariates (in all, p > 0.05).

conclusionsIn middle-aged, physical activity appears to weaken the adverse relationship between irregular sleep and cardiometabolic health markers, although the interpretation of the impact of sedentary time remains less conclusive. The clinical significance and extent of the observed associations warrant further investigation.

Indexed as

24-h activity rhythmChronotypeCircadian healthPhysical activitySedentary timeSleep consistencySleep regularitySleep–wake -rhythm

Identifiers

PMID40217503
PMCPMC11960235

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.