Evidence map›Paper›PMID 39642229›Full record

ArticleScience advances2024

Antidepressant use in spatial social networks.

Balázs Lengyel, Gergő Tóth, Nicholas A Christakis, Anikó Bíró

Abstract read
In one paragraph

Article in Science advances, 2024. 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. Observational
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

4 authors.

Balázs LengyelMTA-HUN-REN "Momentum" Agglomeration, Networks, and Innovation Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary.ORCID 0000-0001-5196-5599
Gergő TóthMTA-HUN-REN "Momentum" Agglomeration, Networks, and Innovation Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary.ORCID 0000-0003-4461-0065
Nicholas A ChristakisHuman Nature Lab, Yale University, New Haven, CT 06520-8263, USA.ORCID 0000-0001-5547-1086
Anikó BíróHealth and Population Research Group, HUN-REN Centre for Economic and Regional Studies, 1097 Budapest, Hungary.ORCID 0000-0002-4833-4224

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Social networks may help individuals maintain their mental health. Most empirical work based on small-scale surveys finds that cohesive social networks are critical for mental well-being, while diverse networks are considered less important. Here, we link data on antidepressant use of 277,344 small-town residents to a nationwide online social network. The data enable us to examine how individuals' mental health care is related to the spatial characteristics of their social networks including their ties in the local community and connections to distant communities. We find that, besides the cohesion of social networks around home, the diversity of connections to distant places is negatively correlated with the probability of antidepressant use. Spatial diversity of social networks is also associated with decreasing dosage in subsequent years. This relationship is independent from the local access to antidepressants and is more prevalent for young individuals. Structural features of spatial social networks are prospectively associated with depression treatment.

Indexed as

Antidepressive AgentsSocial NetworkingAdultAgedDepressionFemaleHumansMaleMental HealthMiddle AgedSocial SupportYoung AdultAntidepressive Agents

Identifiers

PMID39642229
PMCPMC11623294

What OpenQuestion holds

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LicenceCC BY
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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.