Gender, Social Networks, and Stroke Preparedness in the Stroke Warning Information and Faster Treatment Study

Tracy E. Madsen, Eric T. Roberts, Heather Kuczynski, Emily Goldmann, Nina S. Parikh, Bernadette Boden-Albala

Research output: Contribution to journalArticle


Background and Purpose The study aimed to investigate the effect of gender on the association between social networks and stroke preparedness as measured by emergency department (ED) arrival within 3 hours of symptom onset. Methods As part of the Stroke Warning Information and Faster Treatment study, baseline data on demographics, social networks, and time to ED arrival were collected from 1193 prospectively enrolled stroke/transient ischemic attack (TIA) patients at Columbia University Medical Center. Logistic regression was conducted with arrival to the ED ≤3 hours as the outcome, social network characteristics as explanatory variables, and gender as a potential effect modifier. Results Men who lived alone or were divorced were significantly less likely to arrive ≤3 hours than men who lived with a spouse (adjusted odds ratio [aOR]:.31, 95% confidence interval [CI]:.15-0.64) or were married (aOR:.45, 95% CI:.23-0.86). Among women, those who lived alone or were divorced had similar odds of arriving ≤3 hours compared with those who lived with a spouse (aOR: 1.25, 95% CI:.63-2.49) or were married (aOR:.73, 95% CI:.4-1.35). Conclusions In patients with stroke/TIA, living with someone or being married improved time to arrival in men only. Behavioral interventions to improve stroke preparedness should incorporate gender differences in how social networks affect arrival times.

Original languageEnglish (US)
Pages (from-to)2734-2741
Number of pages8
JournalJournal of Stroke and Cerebrovascular Diseases
Issue number12
StatePublished - Dec 2017



  • Stroke
  • gender
  • pre-hospital delays
  • social epidemiology

ASJC Scopus subject areas

  • Surgery
  • Rehabilitation
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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