Evidence map›Paper›PMID 22566985›Full record

ArticleCerebrovascular diseases extra

Social network types and acute stroke preparedness behavior.

Bernadette Boden-Albala, Parisa Tehranifar, Joshua Stillman, Myunghee C Paik

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cerebrovascular diseases extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Bernadette Boden-AlbalaDepartment of Neurology, Columbia University College of Physicians and Surgeons and the Mailman School of Public Health, New York, N.Y., USA.
Parisa Tehranifar
Joshua Stillman
Myunghee C Paik
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPresence of informal social networks has been associated with favorable health and behaviors, but whether different types of social networks impact on different health outcomes remains largely unknown. We examined the associations of different social network types (marital dyad, household, friendship, and informal community networks) with acute stroke preparedness behavior. We hypothesized that marital dyad best matched the required tasks and is the most effective network type for this behavior.

methodsWe collected in-person interview and medical record data for 1,077 adults diagnosed with stroke and transient ischemic attack. We used logistic regression analyses to examine the association of each social network with arrival at the emergency department (ED) within 3 h of stroke symptoms.

resultsAdjusting for age, race-ethnicity, education, gender, transportation type to ED and vascular diagnosis, being married or living with a partner was significantly associated with early arrival at the ED (odds ratio = 2.0, 95% confidence interval: 1.2-3.1), but no significant univariate or multivariate associations were observed for household, friendship, and community networks.

conclusionsThe marital/partnership dyad is the most influential type of social network for stroke preparedness behavior.

Indexed as

Acute strokeEmergency department admissionIschemic attackSocial networksStroke symptoms

Identifiers

PMID22566985
PMCPMC3343744
OpenAlexW2060848128

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.