Ethnic Differences in Risk Factors for Ischemic Stroke

Hajat, Cother; Tilling, Kate; Stewart, Judy A.; Lemic-Stojcevic, Nada; Wolfe, Charles D.A.

doi:10.1161/01.str.0000131903.04708.b8

Cited by 75 publications

(48 citation statements)

References 17 publications

(34 reference statements)

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“…There are reports contributing the different global burden of vascular diseases in different population to the ethnic and regional variations in cardiovascular risk factors [6][7][8][9]. The above-mentioned facts prompted several investigators to conduct studies on types and distribution modes of traditional and newly recognized risk factors in different populations [10,11] including lipid and lipoproteins indices [12].…”

Section: Introductionmentioning

confidence: 99%

Reference Ranges for Serum Total Cholesterol, HDL-Cholesterol, LDL-Cholesterol, and VLDL-Cholesterol and Triglycerides in Healthy Iranian Ahvaz Population

et al. 2012

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Cardiovascular diseases (CVD) are recognized as major mortality causes and imposes tremendously heavy socio-economic burden worldwide. A vast variety of risk factors have been introduced in the literature known to enhance the incidence of CVD, such as hyperlipidemia. Therefore in order to make an accurate clinical decision it is essential to have appropriate reference ranges for lipids and lipoprotein particles in a particular population. Healthy female (n = 601) and male (n = 617) cases were randomly selected according to certain exclusion criteria from individuals visiting the major University hospital clinics situated in different part of Ahvaz city, Iran, from June 2010 to December 2010. Fasting blood samples (10 ml) were collected and analyzed for total cholesterol, total triglyceride and HDL-C employing enzymatic assays of CHOD-PAP, GPO-PAP and homogenous methods respectively. The samples were obtained such to include the ethnic populations of Persian, Arab. Lore leaving in this city. The data were analyzed statistically by SPSS-18 software. The obtained results were analyzed then age ethnic-wise and reference ranges (mean ± 1SD) were calculated. Remarkable differences between the obtained results for our population with other nations were seen. Also ethnic difference for HDL-C among our cases was noted. The observed significant differences among different nations and ethnicities emphasizes the need for nationspecific, local reference ranges for lipids and lipoproteins particles, to be established.

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Section: Introductionmentioning

confidence: 99%

Reference Ranges for Serum Total Cholesterol, HDL-Cholesterol, LDL-Cholesterol, and VLDL-Cholesterol and Triglycerides in Healthy Iranian Ahvaz Population

et al. 2012

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“…A population study in South London demonstrated that ethnic differences exist in patterns of behavioral risk factors between black Africans (BAs) and black Caribbeans (BCs), with a greater proportion of BAs, for example, having never smoked and a smaller proportion with a heavy alcohol intake compared with BCs. 8 Data are lacking on the relation between risk factors and stroke risk for particular ethnic groups.…”

mentioning

confidence: 99%

Incidence of Hemorrhagic Stroke in Black Caribbean, Black African, and White Populations

Smeeton

Heuschmann

Rudd

et al. 2007

Stroke

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Background and Purpose-Data are lacking on the differences in hemorrhagic stroke incidence between black Caribbean (BC), black African (BA), and white ethnic groups. We estimated the incidence for primary intracerebral hemorrhage (PICH) and subarachnoid hemorrhage (SAH) and the associated risk factors for BCs, BAs, and whites. Methods-First-ever stroke patients were drawn from a prospective community stroke register based in a multiethnic population in South London with 9% BCs, 15% BAs, and 63% whites.

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“…Such variations in both CHD and stroke incidence and prevalence are largely explained by area-and person-specific factors such as population socio-economic composition, demographic structure and ethnic diversity [1][2][3][4], mediated through established CVD risk factors [5]. In the case of England, this is exemplified at a regional level by a North-South gradient in prevalence and outcomes, with higher prevalences in the North [6].…”

Section: Introductionmentioning

confidence: 99%

Local Spatial Autocorrelation Analysis of 3 Disease Prevalence: A Case Study of Korea

Ju¹,

Noh²,

Kim³

et al. 2017

J Health Info Stat

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Background: There is under-diagnosis of cardiovascular disease (CVD) in the English population, despite financial incentives to encourage general practices to register new cases. We compared the modelled (expected) and diagnosed (observed) prevalence of three cardiovascular conditions-coronary heart disease (CHD), hypertension and stroke-at local level, their geographical variation, and population and healthcare predictors which might influence diagnosis. Methods: Cross-sectional observational study in all English local authorities (351) and general practices (8,372) comparing model-based expected prevalence with diagnosed prevalence on practice disease registers. Spatial analyses were used to identify geographic clusters and variation in regression relationships. Results: A total of 9,682,176 patients were on practice CHD, stroke and transient ischaemic attack, and hypertension registers. There was wide spatial variation in observed: expected prevalence ratios for all three diseases, with less than five per cent of expected cases diagnosed in some areas. London and the surrounding area showed statistically significant discrepancies in observed: expected prevalence ratios, with observed prevalence much lower than the epidemiological models predicted. The addition of general practitioner supply as a variable yielded stronger regression results for all three conditions. Conclusions: Despite almost universal access to free primary healthcare, there may be significant and highly variable under-diagnosis of CVD across England, which can be partially explained by persistent inequity in GP supply. Disease management studies should consider the possible impact of under-diagnosis on population health outcomes. Compared to classical regression modelling, spatial analytic techniques can provide additional information on risk factors for under-diagnosis, and can suggest where healthcare resources may be most needed.

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Ethnic Differences in Risk Factors for Ischemic Stroke

Cited by 75 publications

References 17 publications

Reference Ranges for Serum Total Cholesterol, HDL-Cholesterol, LDL-Cholesterol, and VLDL-Cholesterol and Triglycerides in Healthy Iranian Ahvaz Population

Reference Ranges for Serum Total Cholesterol, HDL-Cholesterol, LDL-Cholesterol, and VLDL-Cholesterol and Triglycerides in Healthy Iranian Ahvaz Population

Incidence of Hemorrhagic Stroke in Black Caribbean, Black African, and White Populations

Local Spatial Autocorrelation Analysis of 3 Disease Prevalence: A Case Study of Korea

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