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Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Published on: March 15, 2024

Social network types and acute stroke preparedness behavior.

Bernadette Boden-Albala¹, Parisa Tehranifar, Joshua Stillman

¹Department of Neurology, Columbia University College of Physicians and Surgeons and the Mailman School of Public Health, New York, N.Y., USA.

Cerebrovascular Diseases Extra

|May 9, 2012

Summary

Being married or partnered significantly improves acute stroke preparedness, leading to faster emergency department arrival. This highlights the critical role of the marital dyad in stroke response.

Keywords:

Acute stroke Emergency department admission Ischemic attack Social networks Stroke symptoms

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Last Updated: May 22, 2026

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Gathering Self-Initiated Rat Behavioral Data to Characterize Post-Stroke Deficits

Published on: March 15, 2024

Area of Science:

Neurology
Public Health
Sociology

Background:

Informal social networks influence health and behaviors.
The impact of different social network types on specific health outcomes is not well understood.
Acute stroke preparedness is a critical public health concern.

Purpose of the Study:

To examine the association between different social network types and acute stroke preparedness behavior.
To determine if the marital dyad is the most effective social network for stroke preparedness.
To investigate the relationship between social networks and emergency department (ED) arrival within 3 hours of stroke symptom onset.

Main Methods:

In-person interviews and medical records were collected from 1,077 adults diagnosed with stroke or transient ischemic attack.
Logistic regression analyses were used to assess the association between social network types and early ED arrival.
Statistical models adjusted for demographic and clinical factors including age, race-ethnicity, education, gender, transportation, and vascular diagnosis.

Main Results:

Being married or living with a partner was significantly associated with arrival at the emergency department (ED) within 3 hours of stroke symptoms (odds ratio = 2.0, 95% CI: 1.2-3.1).
No significant associations were found between household, friendship, or informal community networks and early ED arrival for stroke.
The marital/partnership dyad demonstrated a significant positive impact on stroke preparedness behavior.

Conclusions:

The marital or partnership dyad is the most influential social network for acute stroke preparedness.
Social network type plays a differential role in health behaviors.
Interventions promoting stroke preparedness should consider the unique role of spousal/partner relationships.