Evidence map›Paper›PMID 41278219›Full record

ArticleSleep advances : a journal of the Sleep Research Society2025

Closer friends have more similar actigraphy-estimated sleep patterns.

Venetia Jing Tong Kok, Clin K Y Lai, Annadata V Rukmini, Hana Yabuki, Joshua J Gooley

Abstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 2025. 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

5 authors.

Venetia Jing Tong KokNeuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
Clin K Y LaiNeuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0001-8041-4294
Annadata V RukminiNeuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1300-7442
Hana YabukiNeuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.
Joshua J GooleyNeuroscience and Behavioural Disorders Programme, Duke-NUS Medical School, Singapore, Singapore.ORCID https://orcid.org/0000-0002-4830-3583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study Objectives: Individuals in close relationships often show similarities in health lifestyle behaviors. Here, we tested associations between friendship closeness and sleep patterns in university students. We hypothesized that daily actigraphy-estimated sleep timing and duration would be more similar in closer friendships with evidence of positive covariation. Methods: Friend pairs ( Results: On non-school nights, friend-pair differences in sleep timing were about 30 min smaller in close friends compared with casual friends. On school nights, friend-pair differences in sleep timing were associated with dyadic differences in chronotype and class start times, but not friendship closeness. Sleep timing and duration covaried positively in close friends but not casual friends, irrespective of whether students had next-day classes. Conclusions: Actigraphy-estimated sleep was more similar in university students who were close friends. Daily covariation of sleep in close friendships suggests that students influenced each other's sleep patterns. Close friendships, chronotype, and class start times play an important role in shaping social sleep behavior.

Indexed as

dyadsfriendsschool start timesleep timingsocialuniversity students

Identifiers

PMID41278219
PMCPMC12640202

What OpenQuestion holds

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Registered trials

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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.