Risk Factors for Stroke Based on the National Health and Nutrition Examination Survey

Mai, X.; Liang, Xiaofeng

doi:10.1007/s12603-020-1430-4

Cited by 14 publications

(15 citation statements)

References 19 publications

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“…Enormous studies have confirmed that sleep disorders are modifiable risk factors for stroke and have an impact on stroke outcome [ 37 – 39 ]. Our results revealed that patients with sleep disorders had 1.677-fold of stroke risk than those without, similar to 1.622 times reported by Mai and Liang [ 28 ].…”

Section: Discussionsupporting

confidence: 90%

“…Our results showed that patients with depression had 3.077-fold of stroke risk than those without. Mai and Liang also supported that the risk of stroke was higher in patients with moderate, moderately severe, and severe depressive symptoms [ 28 ].…”

Section: Discussionmentioning

confidence: 95%

“…Sleep exerts a significant effect on the human life. Appropriate sleep duration (6-8 h) showed a protective effect on the stroke occurrence, while short or long sleep durations might significantly raise the risk of stroke [ 28 , 35 , 36 ]. Enormous studies have confirmed that sleep disorders are modifiable risk factors for stroke and have an impact on stroke outcome [ 37 – 39 ].…”

Section: Discussionmentioning

confidence: 99%

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Effect of the Interaction between Depression and Sleep Disorders on the Stroke Occurrence: An Analysis Based on National Health and Nutritional Examination Survey

et al. 2021

Behavioural Neurology

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Objective. To investigate the effect of the interaction between depression and sleep disorders on the stroke occurrence based on the data from the National Health and Nutritional Examination Survey (NHANES). Methods. Seven cycles of 2-year NHANES data (2005-2018) were analyzed in this study. Univariate analysis was first performed between the stroke and nonstroke patients, and then, multivariate logistic regression models were conducted to analyze the association of depression, sleep disorders, and their interactions with stroke occurrence. Results. A total of 30473 eligible participants were included in this study, including 1138 (3.73%) with stroke and 29335 (96.27%) with nonstroke. Except sex, the differences were all significant between the stroke and nonstroke patients in baseline information (all P < 0.001 ). Depression (odds ratio (OR): 2.494, 95% confidence interval (CI): 2.098-2.964), depression severity (moderate, OR: 2.013, 95% CI: 1.612-2.514; moderately severe, OR: 2.598, 95% CI: 1.930-3.496; severe, OR: 5.588, 95% CI: 3.883-8.043), and sleep disorders (OR: 1.677, 95% CI: 1.472-1.910) were presented to be associated with an increased risk of stroke after correcting all the confounders. The logistic regression analysis showed that there was a synergic, additive interaction between depression and sleep disorders on the stroke occurrence, and the proportion of stroke patients caused by this interaction accounted for 27.1% of all the stroke patients. Conclusion. Depression, depression severity, and sleep disorders are all independently associated with a high risk of stroke. The interaction between depression and sleep disorders can synergistically increase the stroke occurrence.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

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Effect of the Interaction between Depression and Sleep Disorders on the Stroke Occurrence: An Analysis Based on National Health and Nutritional Examination Survey

et al. 2021

Behavioural Neurology

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“…The pre-defined stroke group may categorize borderline or undiagnosed individuals as not having a stroke. 6 However, these borderline cases may possess shares similar characteristics with the stroke patients. Therefore, this research aims to examine prominent risk factors of stroke using a clustering method.…”

Section: Introductionmentioning

confidence: 99%

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

Ren¹,

Fu²

2021

IJGM

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Purpose This 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 Methods In 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. Results Age (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. Conclusion Age, 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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“…Stroke is currently the second leading cause of death in the world after ischemic heart disease [ 1 ]. On average, 86.5 per 100,000 people worldwide die of stroke every year [ 2 ]. The etiology and pathological process of stroke are complex, which can interfere with cerebral blood flow, thereby damaging normal brain tissues and causing central nervous system damage.…”

Section: Introductionmentioning

confidence: 99%

Dietary Copper Intake and Risk of Stroke in Adults: A Case-Control Study Based on National Health and Nutrition Examination Survey 2013–2018

et al. 2022

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The association between dietary copper intake and the risk of stroke is unknown. We included a total of 10,550 participants from the National Health and Nutrition Examination Survey (NHANES) 2013–2018. Two 24-h dietary recalls and a standard questionnaire were used to determine copper intake and stroke, respectively. We used logistic regression models to estimate the associations between dietary copper intake and the risk of stroke. The nearest-neighbor propensity score matching (PSM) with a ratio of 1:2 was used to reduce selection bias. The non-linear relationship was explored with restricted cubic splines (RCS). The correlation between copper intake and baseline characteristics was detected by the Pearson correlation coefficient. The median dietary copper intake was 1.072 mg/day (IQR = 1.42–0.799). Approximately 3.8% (399) of the participants had a history of stroke. A multivariate logistic regression analysis before and after matching showed that subjects in the higher quartile had significantly lower odds of stroke compared with subjects in the first quartile of copper intake. A stratified analysis showed that copper intake was a significant protective factor for women, individuals <65 years old, individuals with hypertension, individuals who smoke, and diabetic stroke patients. The RCS models showed an L-shaped nonlinear relationship (p for nonlinear < 0.001) between copper intake and stroke. Our results suggested that increased dietary copper intake was associated with a lower risk of stroke.

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Risk Factors for Stroke Based on the National Health and Nutrition Examination Survey

Cited by 14 publications

References 19 publications

Effect of the Interaction between Depression and Sleep Disorders on the Stroke Occurrence: An Analysis Based on National Health and Nutritional Examination Survey

Effect of the Interaction between Depression and Sleep Disorders on the Stroke Occurrence: An Analysis Based on National Health and Nutritional Examination Survey

Stroke Risk Factors in United States: An Analysis of the 2013–2018 National Health and Nutrition Examination Survey

Dietary Copper Intake and Risk of Stroke in Adults: A Case-Control Study Based on National Health and Nutrition Examination Survey 2013–2018

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