Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2017
Gender, Social Networks, and Stroke Preparedness in the Stroke Warning Information and Faster Treatment Study.
СтатьяРандомизированное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Madsen Tracy E, Roberts Eric T, Kuczynski Heather, Goldmann Emily, Parikh Nina S, Boden-Albala Bernadette
Аннотация
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.
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.
Предметные рубрики MeSH
Academic Medical CentersAgedChi-Square DistributionDivorceEarly DiagnosisEmergency Service, HospitalFemaleHumansIschemic Attack, TransientLogistic ModelsMaleMarital StatusMarriageMiddle AgedNew York CityOdds RatioPatient Acceptance of Health CarePredictive Value of TestsProspective StudiesRisk FactorsSex FactorsSingle PersonSocial SupportStrokeTime FactorsTime-to-TreatmentTreatment Outcome