scholarly journals Knowledge of stroke risk factors amongst black diabetic, hypertensive and stroke patients

2003 ◽  
Vol 59 (4) ◽  
Author(s):  
G. Bogoshi ◽  
A. Stewart ◽  
L. Hale ◽  
V. Fritz
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Control Group ◽  
Stroke Patients ◽  
Chi Square ◽  
Stroke Risk Factors ◽  
Black Patients ◽  
Level Of Significance ◽  
And Control ◽  
Structured Questionnaire

The objective of this study was to assess and compare theknowledge of black patients diagnosed with hypertension, diabetes and stroke about the risk factors for stroke.  Four groups made up of 33 subjects (hypertensive, diabetic, stroke and control group) were interviewed using open-ended questions and a structured questionnaire. Qualitative coding, frequencies and proportions were used to determine their knowledge.  Groups were compared with respect to percentage knowledge using the chi-square statistic at a 0.05 level of significance.  Stress was mentioned as the most important risk factor in all groups.  Although identification of stroke risk factors was  inadequate, the diabetic group was found to be significantly better in  identifying some of the risk factors (salt - p =0,05; sugar - p = 0,001; fat - p = 0,004; moderate smoking - p = 0,05; weight - p = 0,002)

Relationship Between Stroke’s Risk Factors with Daily Activities Using Modified Shah Barthel Index in Chronic Stroke Patient at RSCM

2018 ◽  
Vol 24 (8) ◽  
pp. 6225-6231
Author(s):  
S Rachmayanti ◽  
W Kusumaningsih
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Stroke Risk ◽  
Chronic Stroke ◽  
Medical Rehabilitation ◽  
Stroke Patients ◽  
Chi Square ◽  
Stroke Risk Factors ◽  
The Relationship

Hypertension and diabetes mellitus are the most common risk factors of stroke.The study aimed to determine the relationship between stroke risk factors, hypertension and diabetes mellitus, with dependency of chronic stroke patients in Department of Medical Rehabilitation RSCM. The study is conducted by using the analytical observational cross-sectional study. The samples used in this study were 44 respondents selected by quota sampling method. The relationship between variabels was analyzed by bivariate test Chi-Square and multivariate analysis: Logistic Regression. Based on Chi-Square test, relationship between MSBI scoring with hypertension and diabetes mellitus as stroke risk factors, sequentiallly p = 0,122 and p = 0,002. Furthermore, Logistic Regression test suggested that hypertension and diabetes mellitus as stroke risk factors related to MSBI scoring, respectively; hypertension p = 0,076 (OR 4,076; CI95 0,861–19,297) and diabetes mellitus p = 0,007 (OR 22,690; CI95 2,332–220,722). Discussion: Diabetes mellitus is the most prominent risk factor in severe dependecy of chronic stroke patients.

scholarly journals PROFIL FAKTOR-FAKTOR RISIKO PADA PASIEN STROKE YANG DIRAWAT INAP DI IRINA F NEUROLOGI RSUP PROF. Dr. R. D. KANDOU MANADO PERIODE JANUARI – OKTOBER 2012

e-CliniC ◽  
2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Rio Christanto ◽  
Corry N. Mahama ◽  
Melke J. Tumboimbela
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Risk Category ◽  
Stroke Patients ◽  
Stroke Incidence ◽  
Stroke Risk Factors ◽  
History Of ◽  
Male Sex ◽  
Acute Attacks ◽  
Diabetes Melitus

Abstract: Stroke is a serious neurological disease, with acute attacks that can lead to death. Closely related to the occurrence of stroke risk factors possessed by the patient, especially if there are risk factors that are not addressed properly. Aim: To know the profile of risk factors in stroke patients hospitalized in neurology. irina F  of  RSUP Prof. Dr. R. D. Kandou Manado among period january to october 2012. Methods: The study descriptive with retrospective method is to collect all the data of patients who had been diagnosed with stroke in inpatient neurology irina F RSUP Prof. Dr. R. D. Kandou Manado among period january to october 2012. Results: The results showed that the highest percentage of stroke patients are in the age group 51-65 years (45.2%), male sex (51.2%), high risk category of hypertension (92.2%), risk category Low dyslipidemia ((73.1%), low risk of diabetes mellitus (83.8%), history of heart problems (40.2%), had a history of smoking (8.2%). Conclusion: There are three factors that influence the risk of stroke incidence is age, gender and hypertension Keywords: stroke, risk factors Abstrak: Stroke merupakan penyakit neurologi yang serius, dengan serangan akut yang dapat menyebabkan kematian. Terjadinya stroke berkaitan erat dengan faktor risiko yang dipunyai oleh penderita, terutama bila faktor risiko yang ada tidak ditanggulangi dengan baik. Tujuan: Mengetahui profil faktor-faktor risiko pada pasien stroke yang di rawat inap di irina F neurologi RSUP Prof. Dr. R. D. Kandou Manado periode januari 2012 sampai oktober 2012. Metode: Penelitian deskriktif  dengan metode retrospektif yaitu mengumpulkan semua data penderita yang telah didiagnosa dengan stroke  yang di rawat inap di irina F neurologi RSUP Prof. Dr. R. D. Kandou Manado periode januari 2012 sampai Oktober 2012.  Hasil: Hasil penelitian menunjukan bahwa persentase terbanyak pasien stroke berada pada golongan umur 51-65 tahun (45,2%), berjenis kelamin laki-laki (51,2%), kategori risiko tinggi hipertensi (92,2%), kategori risiko rendah dislipidemia ((73,1%), risiko rendah diabetes melitus (83,8%), riwayat atau kelainan jantung (40,2%), memiliki riwayat merokok (8,2%). Simpulan: Terdapat 3 faktor risiko yang berpengaruh terhadap kejadian stroke yaitu umur, jenis kelamin dan hipertensi Kata kunci: Stroke, faktor risiko

Abstract 3391: FAST Stroke Educational Program for Middle School Students

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Elaine T Miller ◽  
Keith King ◽  
Rosemary Miller ◽  
Roberta Lee
Keyword(s):  
Risk Factors ◽  
Middle School ◽  
Self Efficacy ◽  
Stroke Risk ◽  
Warning Signs ◽  
Control School ◽  
School Students ◽  
Stroke Risk Factors ◽  
And Control

Significance and Purpose: Given the continuing escalation of obesity and other major modifable stroke risk factors in American children, now more than ever the testing of the efficacy of stroke educational programs remains a priority. The specific aim of this study was to determine if the 9 month FAST Stroke Prevention Educational Program for Middle School Students leads to a significantly greater increase in stroke knowledge (signs/symptoms, risk factors), self-efficacy, treatment seeking behaviors (calling 911), and stroke risk reduction behavior when compared to a control school. A secondary purpose was to obtain comparison data (intervention and control school) regarding blood pressure, waist circumference, and body mass index. Methodology: The study design is quasi-experimental with an intervention and control middle school that each receives the initial program pretest and long-term posttest. Both schools are in the same city and serve primarily African American students ages 10-14. Instruments to measure the key study variables have established reliability, Chronbach alpha of .85 or higher, and content validity. The FAST Program framed within Social Cognitive Theory, spanned 9 months consisting of 6 modules that included active learning experiences, involvement of multiple stakeholders (school, parents, and community), and senior nursing students in the program implementation. Findings: Seventy-seven students (54% male, 46% female) received the FAST Program and 101 students were in the control school (45% male, 55% female). Students who received the FAST Program knew significantly more of the warning signs of stroke than students not receiving the program. No significant difference between the control and intervention school occurred pertaining to knowledge of stroke risk factors at pretest or long-term posttest at 9 months. Compared to pretest scores, students receiving FAST scored significantly higher at posttest and long-term posttest on self-efficacy. Of those in the intervention group who had identified a modifiable stroke risk reduction objective (e.g., increase exercise, eat a more healthy diet, stop smoking), 42% reported achieving their objective; while another 19% reported making progress. Although BMIs and blood pressures improved in students receiving FAST, there were not any significant improvements between the two schools. Conclusions and Practice Implications: The FAST Program improved the convenient sample of African American students’ knowledge of stroke warning signs and self-efficacy. Plus, many students were able to achieve their predetermined modifiable stroke risk factors in the FAST Program. Further program improvements are recommended, but it is clear that active involvement of parents, school and community stakeholders are essential.

scholarly journals Trends of risk profile among middle-aged adults hospitalized for acute ischemic stroke in United States 2006–2017

2020 ◽  
pp. 174749302097937
Author(s):  
Xin Tong ◽  
Quanhe Yang ◽  
Mary G George ◽  
Cathleen Gillespie ◽  
Robert K Merritt
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factors ◽  
Percent Change ◽  
Lipid Disorders ◽  
Major Stroke

Background Recent studies reported increasing trends in hospitalization of stroke patients aged 35–64 years. Aim To examine changes in risk factor profiles among patients aged 35–64 years hospitalized with acute ischemic stroke between 2006 and 2017 in the United States. Methods We used data from the National Inpatient Sample of the Healthcare Cost and Utilization Project from 2006 through 2017. Principal ICD-9-CM/ICD-10-CM codes were used to identify acute ischemic stroke hospitalizations, and secondary codes were used to identify the presence of four major stroke risk factors: hypertension, diabetes, lipid disorders, and tobacco use. We used the relative percent change to assess the changes in the prevalence of risk profile between 2006–2007 and 2016–2017 and linear regression models to obtain the p values for the overall trends across six time periods. Results Approximately 1.5 million acute ischemic stroke hospitalizations occurred during 2006–2017. The prevalence of having all four risk factors increased from 4.1% in 2006–2007 to 9.1% in 2016–2017 (relative percent change 122.0%, p < 0.001 for trend), prevalence of any three risk factors increased from 24.5% to 33.8% (relative percent change 38.0%, p < 0.001). Prevalence of only two risk factors decreased from 36.1% to 32.7% (p < 0.001), only one risk factor decreased from 25.2% to 18.1% (p < 0.001), and absence of risk factors decreased from 10.1% to 6.2% (p < 0.001). The most prevalent triad of risk factors was hypertension, diabetes, and lipid disorders (14.3% in 2006–2007 and 19.8% in 2016–2017), and the most common dyad risk factors was hypertension and lipid disorders (12.6% in 2006–2007 and 11.9% in 2016–2017). Conclusions The prevalence of hospitalized acute ischemic stroke patients aged 35–64 years with all four or any three of four major stroke risk factors increased by 122% and 38%, while those with only one risk factor or no risk factor has declined by 28% and 39%, respectively, from 2006 to 2017. Younger adults are increasingly at higher risk for stroke from preventable and treatable risk factors. This growing public health problem will require clinicians, healthcare systems, and public health efforts to implement more effective prevention strategies among this population.

scholarly journals Gambaran Gangguan Tidur pada Pasien Pasca Stroke Iskemik

2021 ◽  
Vol 1 (3) ◽  
pp. 336-342
Author(s):  
Alya Ramadhini ◽  
Yuliarni Syafrita ◽  
Russilawati Russilawati
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Restless Legs Syndrome ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Restless Legs ◽  
Stroke Risk Factors

Background : Sleep disorder is common to be the complication in stroke patients and can be a risk factor for stroke. Sleep disorder in stroke patients decrease the quality of life. Objective : The purpose of this study was to find out the prevalence of sleep disorders in a post-ischemic stroke patient and the association between sleep disorders and stroke risk factors. Methods: A cross-sectional study was conducted on post-ischemic stroke at the neurology outpatient clinic of Ibnu Sina Islamic Hospital Padang. Information about stroke risk factors is obtained through patient data and guided questionnaires. Types of sleep disorders were assessed through the 2005 Specialized Center of Research Sleep Questionnaire. Results: We found out there were 57 post-ischemic stroke patients, in which 37  post-ischemic stroke patients (64.9%) had sleep disorder incidences, such as apnea, restless legs syndrome, insomnia, and narcolepsy (38.6%, 36.8%, 35.1%, and 15.8%; respectively). There was an association between age and insomnia (p = 0.034,CI = 95%). On the other hand, there was no association between other risk factors (gender, diabetes mellitus, dyslipidemia, heart disease, obesity, smoking, and alcohol consumption) and insomnia, apnea, narcolepsy, and restless legs syndrome. Conclusions : The conclusion of this study was more than half post-ischemic stroke patients have sleep disorder with the most common were apnea. There was an association between age and insomnia. Keywords: sleep disorder, apnea, ischemic stroke

scholarly journals Determination of Prothrombotic Gene Polymorphisms and Stroke Risk Factors in Young Ischemic Stroke Patients

2014 ◽  
Vol 4 (3) ◽  
pp. 119-124
Author(s):  
Recep Demir ◽  
Omer Atis ◽  
Lutfi Ozel ◽  
Hasan Dogan ◽  
Gokhan Ozdemir ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Gene Polymorphisms ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factors ◽  
Young Ischemic Stroke

Abstract P886: Differences in Medication Utilization for Secondary Stroke Prevention Between Ghanaian Stroke Patients and Stroke Patients in the United States

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Esther Olasoji ◽  
FRED S SARFO ◽  
Alexis Simpkins
Keyword(s):  
Risk Factors ◽  
Stroke Prevention ◽  
Stroke Risk ◽  
The United States ◽  
Rural Setting ◽  
Secondary Stroke Prevention ◽  
Stroke Patients ◽  
Stroke Risk Factors ◽  
Medication Utilization ◽  
Oral Agents

Introduction: Optimization of secondary stroke prevention is an essential part of stroke care globally. We sought to assess differences in medication utilization between African Americans (AA), Non-Hispanic Whites (NW), and Ghanaians in addition to effects related to location of residence (rural versus urban). Methods: Data from the UFHealth institutional stroke database and the Kumasi, Ghana Stroke Survivors Registry between 01/2014 and 11/2019 provided a dataset of adult patients diagnosed with stroke from both locations. Multivariate regression analysis identified differences between country of origin, race, patient demographics, location of residence, stroke risk factors, and clinical management following stroke. Results: Of the 5519 patients studied, the median age was 66 (IQR 45 - 87), 16% were AA, 19% Ghanaian, 66% NW, and 51% were male. After controlling for age, sex, stroke type, and stroke risk factors, we found that in comparison to the AA and NW, patients from Ghana were more likely to be prescribed angiotensin converting enzyme (ACE) inhibitors (OR 1.42, 1.05-1.93 95% CI), angiotensin receptor blockers (ARB) (OR 18.36, 13.08-25.78 95% CI), calcium channel blockers (CCB) (OR 8.35, 6.30-11.08 95% CI), statin (OR 3.26, 2.26-4.59 95% CI), anti-diabetic oral agents (OR 7.18, 4.21-12.27 95% CI); less likely to be prescribed anticoagulant (OR 0.22, 0.12-0.40 95% CI), beta blockers (BB) (OR 0.15, 0.11-0.21 95% CI), and insulin (OR 0.11, 0.06-0.20 95% CI). In comparison to AA, Ghanaians were more likely to be prescribed statin (OR 3.06, 1.93-4.86 95% CI), ARBs (OR 22.87, 13.85-37.79 95% CI), CCBs (OR 5.83, 3.94-8.62 95% CI), anti-diabetic oral agents (OR 8.89, 4.25-18.59 95% CI); less likely to live in an urban vs rural setting (OR 0.64, 0.46-0.89 95% CI), be prescribed anticoagulant (OR 0.28, 0.14-0.55 95% CI), BBs (OR 0.13, 0.0.09-0.19 95% CI), and insulin (OR 0.11, 0.05-0.23 95% CI). Conclusion: In conclusion, we found significant differences in the prevalence of medications prescribed for stroke prevention between Ghana and the U.S. Further research is needed to determine if these differences result in consequential differences in stroke reoccurrence between these populations.

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