Evidence map›Paper›PMID 32970789›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2021

Direct and Moderating Causal Effects of Network Support on Sleep Quality: Findings From the UC Berkeley Social Network Study.

Stephanie Child, Emily H Ruppel, Mia Zhong, Leora Lawton

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Stephanie ChildDepartment of Social and Behavioral Science, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0003-2579-7813
Emily H RuppelDepartment of Sociology, University of California, Berkeley, Berkeley, CA, USA.
Mia ZhongDepartment of Demography, University of California, Berkeley, Berkeley, CA, USA.
Leora LawtonBerkeley Population Center, University of California, Berkeley, Berkeley, CA, USA.
University of California, Berkeley · USHarvard University · US

Funding

Program Development (Pilot)P30AG012839 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William H Dow · 1999 to 2026
$18.6M
Understanding How Personal Networks ChangeR01AG041955 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI FISCHER, CLAUDE S. · 2013 to 2017
$3.6M
Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 2019 to 2026
$2.9M
Direct and Mediating Pathways Linking Personal Networks with Cardiovascular DiseaseK99AG059950 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI CHILD, STEPHANIE · 2018 to 2019
$279k
Direct and Mediating Pathways Linking Personal Networks with Cardiovascular DiseaseR00AG059950 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI CHILD, STEPHANIE · 2021 to 2021
$31k
NIA NIH HHS K99 AG059950NIA NIH HHS P30 AG012839NIA NIH HHS R00 AG059950NIA NIH HHS R01 AG041955NICHD NIH HHS P2C HD073964
6 · The paper itself

Abstract

backgroundSleep is an important, restorative behavior for health, yet many adults report troubled sleep. The existence of a support network may be beneficial for sleep quality, including as a buffer for stressful events, yet few studies have examined these relationships longitudinally. PURPOSE: To examine the causal effect of changes in personal network support on sleep quality both directly and as a buffer of negative life events among young and older adults.

methodsThe UC Berkeley Social Network survey collected data from young (21-30 year old, n = 475) and late middle-age (50-70 year old, n = 637) adults across three waves between 2015 and 2018. Participants reported on personal network characteristics, negative life events, and number of nights with trouble falling and staying asleep. Fixed effects models are used to examine causal relationships among each age cohort.

resultsDirect effects of network support on sleep quality were observed among older adults. Insufficient practical support predicted higher rates of trouble falling asleep (incident rate ratio [IRR] = 1.40, p < .01), while a desire for more social companions predicted lower rates of trouble staying asleep (IRR = 0.81, p < .01). Buffering effects of network support on sleep quality were observed among young adults. Changes in partnership status buffer the negative effects of the death of a close tie on trouble falling asleep (IRR = 0.75, p < .01) and persistent difficulties paying bills on trouble staying asleep (IRR = 0.45, p < 0.001) among young adults.

conclusionsThis study provides evidence for the direct and buffering role of network support on sleep quality. Our results indicate that efforts to improve sleep quality should address personal networks and the support they provide, perhaps especially during times of stress for younger adults.

Indexed as

Interpersonal RelationsSleepSocial NetworkingAdultAgedCausalityFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedPoisson DistributionYoung AdultCausal inferencePersonal networksSleep qualitySocial support

Identifiers

PMID32970789
PMCPMC8122471
OpenAlexW3088136286

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.