Evidence map›Paper›PMID 34660878›Full record

ArticleSSM - population health2021

The impact of social networks on sleep among a cohort of college students.

Cheng Wang, Stephen Mattingly, Jessica Payne, Omar Lizardo, David S Hachen

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Closer friends have more similar actigraphy-estimated sleep patterns.Sleep advances : a journal of the Sleep Research Society · 2025
    Article
  5. Article
  6. Article
  7. Nightly sleep duration predicts grade point average in the first year of college.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. A Longitudinal Study of Fitbit Usage Behavior Among College Students.Cyberpsychology, behavior and social networking · 2022
    Article
  9. 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 at 3 institutions in 1 country.

Cheng WangDepartment of Sociology, Wayne State University, Detroit, MI, USA.
Stephen MattinglyDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Jessica PayneDepartment of Psychology, University of Notre Dame, Notre Dame, IN, USA.
Omar LizardoDepartment of Sociology, University of California Los Angeles, Los Angeles, CA, USA.
David S HachenDepartment of Sociology, University of Notre Dame, Notre Dame, IN, USA.
University of Notre Dame · USUniversity of California, Los Angeles · USWayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep duration and quality are associated with physical and mental wellbeing. This paper examines social network effects on individual level change in the sleep quantity and quality from late adolescence to emerging adulthood and its associated factors, including the influence of peers on sleep behavior and the impact of changes in network size.

methodsWe use sleep data from 619 undergraduates at the University of Notre Dame obtained via Fitbit devices as part of the NetHealth project. The data were collected between August 16, 2015 and May 13, 2017. We model trends in sleep behaviors using latent growth-curve models.

resultsControlling for the many factors known to impact sleep quantity and quality, we find two social network effects: increasing network size is associated with less sleep and a student's sleep levels are influenced by his or her peers. While we do not find any consistent decline in sleep quantity over the 637 days, daily fluctuations in sleep quantity are associated with changes in network size and the composition of a student's network. As a student's network gets bigger, s/he sleeps less, and when a student's contacts sleep more (or less) than s/he does, the student becomes more like his or her contacts and sleeps more (or less).

conclusionsSocial networks can and do impact sleep, especially sleep quantity. In contexts where students want to have larger networks, the difficulties of increasing network size and maintaining larger networks negatively impact sleep. Because of peer influence, the effectiveness of interventions designed to improve sleep practices could be increased by leveraging student social networks to help diffuse better sleep habits.

Indexed as

College studentsNetwork sizePeer influenceSensor dataSleep qualitySleep quantitySocial networksWearables

Identifiers

PMID34660878
PMCPMC8502769
OpenAlexW3204227584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.