Evidence map›Paper›PMID 31170181›Full record

Trial reportPloS one2019

Social network structure is predictive of health and wellness.

Suwen Lin, Louis Faust, Pablo Robles-Granda, Tomasz Kajdanowicz, Nitesh V Chawla

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  12. Influence of Care Network Characteristics on Physician Visit Experiences for Black, White, and Hispanic Older Adults With Dementia.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
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  19. The power of dynamic social networks to predict individuals' mental health.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2020
    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 2 institutions in 2 countries.

Suwen LinDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America.
Louis FaustDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America.ORCID 0000-0002-9741-7894
Pablo Robles-GrandaDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America.
Tomasz KajdanowiczDepartment of Computational Intelligence, Wroclaw University of Science and Technology, Wrocław, Poland.ORCID 0000-0002-8417-1012
Nitesh V ChawlaDepartment of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States of America.ORCID 0000-0003-3932-5956
University of Notre Dame · USWrocław University of Science and Technology · PL

Funding

NetHealth: Modeling the Co-Evolution of Social Networks and Health BehaviorsR01HL117757 · NHLBI · UNIVERSITY OF NOTRE DAME · PI HACHEN, DAVID S. · 2014 to 2017
$2.9M
NHLBI NIH HHS R01 HL117757
6 · The paper itself

Abstract

Social networks influence health-related behavior, such as obesity and smoking. While researchers have studied social networks as a driver for diffusion of influences and behavior, it is less understood how the structure or topology of the network, in itself, impacts an individual's health behavior and wellness state. In this paper, we investigate whether the structure or topology of a social network offers additional insight and predictability on an individual's health and wellness. We develop a method called the Network-Driven health predictor (NetCARE) that leverages features representative of social network structure. Using a large longitudinal data set of students enrolled in the NetHealth study at the University of Notre Dame, we show that the NetCARE method improves the overall prediction performance over the baseline models-that use demographics and physical attributes-by 38%, 65%, 55%, and 54% for the wellness states-stress, happiness, positive attitude, and self-assessed health-considered in this paper.

Indexed as

HealthHealth BehaviorSocial NetworkingAdolescentAdultFemaleHumansLongitudinal StudiesMale

Identifiers

PMID31170181
PMCPMC6553705
OpenAlexW2889573943

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.