ArticleWorld Journal of Cardiovascular Diseases2017
Risk Factors and Prediction of Stroke in a Population with High Prevalence of Diabetes: The Strong Heart Study.
Article in World Journal of Cardiovascular Diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Stroke Incidence and Smoking in American Indians: An Update from the Strong Heart Study.Journal of clinical medicine · 2026Article
- A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging.Sensors (Basel, Switzerland) · 2025Article
- A community health promotion project: Amazing Race for Heart Health.Frontiers in epidemiology · 2023Article
- Psychological and social support associations with mortality and cardiovascular disease in middle-aged American Indians: the Strong Heart Study.Social psychiatry and psychiatric epidemiology · 2022Article
- Omega-3 Supplementation and Heart Disease: A Population-Based Diet by Gene Analysis of Clinical Trial Outcomes.Nutrients · 2021Review
- Screening for Atrial Fibrillation in American Indian Adults in a Tribal Primary Care Clinic.Journal of the American Heart Association · 2021Article
- Cardiovascular Health in American Indians and Alaska Natives: A Scientific Statement From the American Heart Association.Circulation · 2020Article
- Immune-inflammatory, oxidative stress and biochemical biomarkers predict short-term acute ischemic stroke death.Metabolic brain disease · 2019Article
- Vascular Risk Factors and Findings on Brain MRI of Elderly Adult American Indians: The Strong Heart Study.Neuroepidemiology · 2019Article
- Associations of Binge Drinking With Vascular Brain Injury and Atrophy in Older American Indians: The Strong Heart Study.Journal of aging and healthArticle
Corrections and comments
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Authors and funding
16 authors at 8 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectiveAmerican Indians have a high prevalence of diabetes and higher incidence of stroke than that of whites and blacks in the U.S. Stroke risk prediction models based on data from American Indians would be of clinical and public health value. METHODS AND
resultsA total of 3483 (2043 women) Strong Heart Study participants free of stroke at baseline were followed from 1989 to 2010 for incident stroke. Overall, 297 stroke cases (179 women) were identified. Cox models with stroke-free time and risk factors recorded at baseline were used to develop stroke risk prediction models. Assessment of the developed stroke risk prediction models regarding discrimination and calibration was performed by an analogous C-statistic (C) and a version of the Hosmer-Lemeshow statistic (HL), respectively, and validated internally through use of Bootstrapping methods.
resultsAge, smoking status, alcohol consumption, waist circumference, hypertension status, an-tihypertensive therapy, fasting plasma glucose, diabetes medications, high/low density lipoproteins, urinary albumin/creatinine ratio, history of coronary heart disease/heart failure, atrial fibrillation, or Left ventricular hypertrophy, and parental history of stroke were identified as the significant optimal risk factors for incident stroke. DISCUSSION: The models produced a C = 0.761 and HL = 4.668 (p = 0.792) for women, and a C = 0.765 and HL = 9.171 (p = 0.328) for men, showing good discrimination and calibration.
conclusionsOur stroke risk prediction models provide a mechanism for stroke risk assessment designed for American Indians. The models may be also useful to other populations with high prevalence of obesity and/or diabetes for screening individuals for risk of incident stroke and designing prevention programs.
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