ArticleInternational journal of general medicine2021
Stroke Risk Factors in United States: An Analysis of the 2013-2018 National Health and Nutrition Examination Survey.
Article in International journal of general medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022Guideline
- Subtype identification of clinical and thrombus imaging features in acute ischemic stroke: using clustering analysis and principal component analysis.Scientific reports · 2025Article
- Analysis of Risk Factors for Acute First-Ever Ischemic Stroke in the Elderly Population of Eastern Liaoning Province: A Case-Control Study.International journal of general medicine · 2025Article
- Disease burden of stroke and its subtypes attributable to low dietary fiber in China, 1990-2019.Scientific reports · 2024Article
- Using a k-means clustering to identify novel phenotypes of acute ischemic stroke and development of its Clinlabomics models.Frontiers in neurology · 2024Article
- Triglyceride-glucose index and the risk of stroke in American adults: findings from the atherosclerosis risk in communities study.Diabetology & metabolic syndrome · 2023Article
- Association between the weight-adjusted waist index and stroke: a cross-sectional study.BMC public health · 2023Article
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThis research intended to identify significant risk factors of stroke among the elderly population in the United States using the k-means clustering method. PATIENTS AND
methodsIn this cross-sectional study, we analyzed data of 4346 subjects aged ≥60 years using the National Health and Nutrition Examination Survey (NHANES) 2013-2018 datasets. Questionnaire data, dietary data, and laboratory data were accessed to acquire measurements of the potential risk factors. A pre-defined classification method was used based on the Medical Condition Questionnaire to define the stroke group. K-means clustering analysis used all potential risk factors for differentiating both groups. A stepwise logistic regression analysis examined the association between significant risk factors and the odds of stroke.
resultsAge (OR:1.053, 95% CI:1.029-1.077), diabetes (OR: 28.019, 95% CI: 19.139-41.020), glycohemoglobin (OR: 2.309, 95% CI: 1.818-2.934), plasma fasting glucose (OR: 1.017, 95% CI: 1.010-1.024), hypertension (OR: 2.343, 95% CI: 1.602-3.426), dietary fiber consumption (OR:0.980, 95% CI:0.964-0.995), and education level (OR:0.541, 95% CI: 0.411-0.713) were identified as significant risk factor for stroke among the elderly population in the k-means clustering method. In the pre-defined grouping method, age (OR:1.093, 95% CI:1.054-1.132), diabetes (OR:2.228, 95% CI: 1.432-3.466), hypertension (OR:2.295, 95% CI:1.338-3.938), and dietary fiber consumption (OR: 0.966, 95CI%:0.947-0.985) were found to influence to the risk of stroke.
conclusionAge, hypertension, dietary fiber consumption, and education level are the significant risk factors of stroke among elders aged >60 years. Among all the risk factors, diabetes is the strongest predictor of stroke. Glycohemoglobin and plasma fasting glucose are also associated with stroke risks, implying that glycemic control is particularly crucial in stroke prevention and management among older adults.
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