Abstract P714: Knowledge of Stroke Warning Signs and Risk Factors in Minnesota Adults

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Niloufar N Hadidi ◽  
Meghan K Tierney ◽  
Jane Claeys ◽  
Olga V Gurvich
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Risk Score ◽  
Stroke Risk ◽  
Lifestyle Changes ◽  
Warning Signs ◽  
Warning Sign ◽  
Cross Sectional Survey ◽  
Stroke Risk Factors ◽  
History Of

Background: Global Burden of Disease identified stroke as the second leading cause of death worldwide after ischemic heart disease. Many stroke risk factors are preventable with lifestyle changes. A better understanding of the relationship between demographics and knowledge of stroke risk factors and warning signs may help in identifying target populations for preventative stroke education. Purpose: This study aimed to explore 1)knowledge of stroke risk factors and warning signs among Minnesota adults, 2)association between knowledge of risk factors and presence of risk factors and 3)association between the knowledge of warning signs and family history of stroke. Methods: A cross-sectional survey of 207 consenting adults who completed open-ended questionnaires on identifying stroke risk factors and warning signs per American Stroke Association (ASA) was used. Self-reported demographics, medical/family history and lifestyle behaviors data were combined with measured height, weight and blood pressure to provide an individual stroke risk score per the ASA Stroke Risk Score. Results: Most participants(90.3%) correctly identified at least one stroke warning sign, but <1% identified all warning signs (FAST+Walking+Vision). 58.9% identified ≥3 stroke risk factors while only 2.4% identified 6 risk factors. Of the highest ranked stroke risk factors(hypertension, smoking, diabetes, diet, obesity, exercise, age, gender, atrial fibrillation), hypertension and obesity were the most named, correctly identified by 64.3% and 53.1% respectively. Females were slightly more knowledgeable of risk factors(63.9% females vs. 51.8% males) and warning signs(62.3% females vs. 58.8% males). No statistically significant associations were observed between knowledge of risk factors and presence of them, or between family history of stroke and knowledge of stroke warning signs. Conclusion: The findings of this study identified the need for public education of stroke risk factors and warning signs as a critical first step in behavior change. Gender differences in knowledge was slightly different. Other demographic differences was not identified due to study sample homogeneity. Additional efforts should be made to increase sample diversity in future studies.

Abstract NS6: Family History of Stroke: Invisibility of a Key Stroke Risk Factor among High Risk African Americans

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Dawn M Aycock ◽  
Kenya D Kirkendoll ◽  
Kisha C Coleman ◽  
Karen C Albright ◽  
Anne W Alexandrov
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Family History ◽  
Perceived Control ◽  
Stroke Risk ◽  
Perceived Threat ◽  
Stroke Risk Factor ◽  
Stroke Risk Factors ◽  
History Of ◽  
Physiologic Data

Background & Purpose: Young to middle aged African Americans (AA) are at greater risk for a first-ever stroke, severe neurologic disability, and stroke-related mortality, than Caucasians of similar age; however, it remains unclear what role a family history of stroke (FHS) plays in promoting adoption of healthier lifestyles in this cohort. The purpose of this study was to explore differences between rural Stroke Belt AA with a FHS (e.g. parent/grandparent/sibling) on modifiable stroke risk factors, knowledge, perceived threat and perceived control of stroke, and exercise behaviors to AA without a FHS. Methods: A cross-sectional study was conducted recruiting AA aged 19-54 from the Black Belt region of Alabama via a mobile health clinic. Participants’ perceptions, knowledge, exercise history/intent, physiologic data, and health history were recorded. Results: Participants (N=66) averaged 43.3+9.4 years, were 71% female, with at least 12 years of school (89%), and unemployed (62%). Common risk factors were insufficient exercise (76%), obesity (59%), hypertension (53%; blood pressure M=145+17.6/88.3+12.9), and cigarette smoking (38%). Participants with a FHS (n=33) did not differ on average number of risk factors compared to those without a FHS (FHS 2.8+1.4 vs. 2.2+1.5; t(64)= 1.73, p=.089), nor did they differ on physiologic data. However, participants with a FHS were more likely to report a history of hypertension (67%) compared to those without a FHS (33%; χ2 =4.93, p <.05). There were no significant differences between groups for knowledge of stroke risk factors, perceived threat and perceived control of stroke, or recent exercise performance, although participants with a FHS (3.4+1.2) had significantly lower future intentions to exercise compared to those without a FHS (3.9+0.8); t(64)=2.45, p<.05). Conclusions: Although FHS is a significant non-modifiable risk factor for stroke and was common in this young to middle-aged AA cohort, FHS did not drive perceived stroke risk, risk factor control, or current/future intentions to exercise. Identification of interventions designed to personalize FHS as a key stroke risk factor, while promoting lifestyle change and self-management, may play an important role in future primary stroke prevention.

scholarly journals Stroke-Risk Factors Differ between Rural and Urban Communities: Population Survey in Central Uganda

2015 ◽  
Vol 44 (3) ◽  
pp. 156-165 ◽  
Author(s):  
Jane Nakibuuka ◽  
Martha Sajatovic ◽  
Joaniter Nankabirwa ◽  
Anthony J. Furlan ◽  
James Kayima ◽  
...  
Keyword(s):  
Risk Factors ◽  
Family History ◽  
Alcohol Consumption ◽  
Stroke Risk ◽  
Overweight And Obesity ◽  
Stroke Risk Factors ◽  
Waist Hip Ratio ◽  
Harmful Alcohol ◽  
History Of ◽  
Family History Of Hypertension

Background: Socioeconomic transition is changing stroke risk factors in Sub-Saharan Africa. This study assessed stroke-risk factors and their associated characteristics in urban and rural Uganda. Methods: We surveyed 5,420 urban and rural participants and assessed the stroke-risk factor prevalence and socio-behavioural characteristics associated with risk factors. Results: Rural participants were older with higher proportions of men and fewer poor compared to urban areas. The most prevalent modifiable stroke-risk factors in all areas were hypertension (27.1% rural and 22.4% urban, p = 0.004), overweight and obesity (22.0% rural and 42% urban, p < 0.0001), and elevated waist hip ratio (25.8% rural and 24.1% urban, p = 0.045). Diabetes, smoking, physical inactivity, harmful alcohol consumption were found in ≤5%. Age, family history of hypertension, and waist hip ratio were associated with hypertension in all, while BMI, HIV were associated with hypertension only in urban dwellers. Sex and family history of hypertension were associated with BMI in all, while age, socio-economic status and diabetes were associated with BMI only in urban dwellers. Conclusions: The prevalence of stroke-risk factors of diabetes, smoking, inactivity and harmful alcohol consumption was rare in Uganda. Rural dwellers belonging to a higher age group tended to be with hypertension and elevated waist hip ratio. Unlike high-income countries, higher socioeconomic status was associated with overweight and obesity.

Association between Family History of Stroke and Stroke Risk: A Community Survey

2020 ◽  
Vol 42 (12) ◽  
pp. 1174-1181
Author(s):  
Jane Claeys ◽  
Olga Gurvich ◽  
Niloufar Niakosari Hadidi
Keyword(s):  
Risk Factor ◽  
Family History ◽  
High Risk ◽  
Risk Score ◽  
Stroke Risk ◽  
The United States ◽  
Primary Study ◽  
Cross Sectional Survey ◽  
Stroke Risk Factor ◽  
History Of

Approximately 20% of the annual 795,000 stroke occurrences in the United States are fatal, and survivors face high-risk of long-term disability. The purpose of this secondary analysis of a cross-sectional survey data was to explore the association between individuals’ family history of stroke and their stroke risk among Minnesota adults attending the State Fair. The primary study sample (n=207) completed a nine-part survey addressing medical history, stroke risk factor knowledge, and the American Stroke Association stroke risk score. Analysis used descriptive summaries and McNemar’s Chi-square test. McNemar’s test indicated a significant association between family history of stroke and an individual’s stroke risk score ( χ2=38.09, p<.001, (n=194)). Of those with and without family history of stroke, 87.1% and 95.5% correctly identified at least one stroke risk factor, respectively. Implications of this secondary data analysis is for nurses to target high-risk populations using primary prevention strategies to reduce stroke occurrence.

scholarly journals Knowledge of Stroke Risk Factors and Signs in Parakou, a Northern City of Benin in West Africa

2021 ◽  
pp. 1-6
Author(s):  
Mendinatou Agbetou Houessou ◽  
Hospice Hountada ◽  
Bertrand Yahouédéou ◽  
Blaise Choki ◽  
Oyéné Kossi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Warning Signs ◽  
Stroke Risk Factor ◽  
Level Of Education ◽  
Stroke Risk Factors ◽  
Awareness Campaigns ◽  
Open Questions ◽  
History Of ◽  
High Level

<b><i>Introduction:</i></b> We aimed to determine knowledge of stroke risk factors and signs in an urban population of northern Benin. <b><i>Methods:</i></b> A door-to-door purposeful sampling survey was conducted in resident population (age ≥15 years) of the district of Titirou in the city of Parakou (<i>N</i> = 255,478) in Benin between March 15 and July 15, 2016. In-person interviews were conducted with data collection on structured questionnaires with close and open questions, according to standard definitions. Multivariable logistic regression was used to assess predictors of good knowledge, defined by provision of a correct response in pre-defined set of questions on stroke risk factors and warning signs. <b><i>Results:</i></b> Of 4,671 participants (mean age 27.7 ± 12.9 years; females 50.6%), only 404 (8.6%) knew at least 1 stroke risk factor. Knowledge level of stroke risk factors (odds ratio, 95% confidence interval) was related to age (1.37, 1.27–1.48), level of education (2.54, 1.73–3.72), and family history of stroke (3.01, 2.08–4.26). Only 230 (4.9%) were able to cite at least 1 stroke symptom, and this knowledge was great with increasing age (1.04, 1.02–1.06), family (3.63, 2.41–5.49) and personal history of stroke (3.71, 1.86–7.42), and high level of education (4.35, 2.68–7.07). <b><i>Conclusion:</i></b> Knowledge of stroke risk factors and signs is low in northern Benin. Greater public education and awareness campaigns are required to address the burden of stroke.

scholarly journals Knowledge of Stroke Risk Factors among Stroke Survivors in Nigeria

2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Grace Vincent-Onabajo ◽  
Taritei Moses
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Tertiary Education ◽  
Effective Means ◽  
Descriptive Statistics ◽  
Stroke Survivors ◽  
Questionnaire Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Stroke Risk Factors

Background. Knowledge of stroke risk factors is expected to reduce the incidence of stroke—whether first-ever or recurrent. This study examined knowledge of stroke risk factors and its determinants among stroke survivors.Methods. A cross-sectional survey of consenting stroke survivors at two physiotherapy facilities in Nigeria was carried out. Sociodemographic and clinical data were obtained and knowledge of stroke risk factors (defined as the ability to mention at least one correct risk factor) was assessed using open-ended questionnaire. Data were treated with descriptive statistics and logistic regression analysis.Results. Sixty-nine stroke survivors (male = 72.5%; mean ± SD age =49.7±10.6years) participated in the study. Thirty-four (49.4%) participants had knowledge of stroke risk factors. Only educational level was significantly associated with knowledge and participants with tertiary educational qualification were about 48 times (odds ratio = 48.5; CI = 7.6–309.8;P<0.0001) more likely to be knowledgeable than those with no education.Conclusion. Less than half of the participants had knowledge of stroke risk factors. Participants with tertiary education were significantly more knowledgeable than those with lower educational qualifications. Effective means of educating stroke survivors on stroke risk factors should be identified and adopted.

scholarly journals Does Socioeconomic Position Affect Knowledge of the Risk Factors and Warning Signs of Stroke in the WHO European Region? A Systematic Literature Review

2020 ◽  
Author(s):  
Katie Stack ◽  
Wendy Robertson ◽  
Clare Blackburn
Keyword(s):  
Risk Factors ◽  
Socioeconomic Position ◽  
Stroke Risk ◽  
Educational Interventions ◽  
Warning Signs ◽  
European Region ◽  
Free Text ◽  
Stroke Risk Factors ◽  
Mesh Terms ◽  
Increasing Knowledge

Abstract Background: Strokes are one of the leading causes of death worldwide. People with a lower socioeconomic position (SEP) (i.e. with regards to education, income and occupation) are at a higher risk of having a stroke and have worse clinical outcomes compared to the general population. Good knowledge levels about stroke risk factors and warning signs are key to prolonging life and reducing health issues caused by stroke. This systematic review examined differences in knowledge of stroke risk factors and warning signs with regards to SEP in the WHO European region. Methods: MEDLINE, Embase, Web of Science, PsycINFO and CINAHL were systematically searched using appropriate Medical Subject Headings (MeSH) terms and free text, combining search terms with Boolean operators. Two independent reviewers selected studies in two stages (title and abstract, and full-text), and screened reference lists of included studies. Only studies in English and based in the WHO European region were included. Results: Screening identified 2,118 records. In the final review, 20 articles were included, with 67,309 study participants between them. Out of 17 studies that looked at stroke risk factors, 11 found increasing knowledge to be associated with higher SEP, four found no difference by SEP, one showed a mixed pattern and one outlier study found increasing knowledge of risk factors to be associated with a lower SEP. Out of 19 studies that looked at stroke warning signs or symptoms, 15 found there to be better knowledge of warning signs with a higher SEP, three found there to be no difference, and the same outlier study found increasing knowledge of warning signs with a lower SEP. Studies that seemed to have a higher quality rating found increasing knowledge of stroke with a higher SEP. A meta-analysis was not possible due to heterogeneity of studies. Conclusions: In the WHO European region, better knowledge of stroke risk factors and warning signs is associated with a higher SEP. Public health campaigns and educational interventions aiming to increase stroke knowledge should be targeted at people with a lower SEP.

scholarly journals Knowledge and Perception of Stroke: A Population-Based Survey in Uganda

ISRN Stroke ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Jane Nakibuuka ◽  
Martha Sajatovic ◽  
Elly Katabira ◽  
Edward Ddumba ◽  
Jayne Byakika-Tusiime ◽  
...  
Keyword(s):  
Risk Factors ◽  
Population Survey ◽  
Stroke Risk ◽  
Large Population ◽  
Population Based ◽  
Traditional Healers ◽  
Warning Signs ◽  
Stroke Event ◽  
Stroke Risk Factors ◽  
Stroke Knowledge

Purpose. This study, designed to complement a large population survey on prevalence of stroke risk factors, assessed knowledge and perception of stroke and associated factors. Methods. A population survey was conducted in urban Nansana and rural Busukuma, Wakiso district, central Uganda. Adult participants selected by multistage stratified sampling were interviewed about selected aspects of stroke knowledge and perception in a pretested structured questionnaire. Results. There were 1616 participants (71.8% urban; 68.4% female; mean age: 39.6 years ± 15.3). Nearly 3/4 did not know any stroke risk factors and warning signs or recognize the brain as the organ affected. Going to hospital (85.2%) was their most preferred response to a stroke event. Visiting herbalists/traditional healers was preferred by less than 1%. At multivariable logistic regression, good knowledge of stroke warning signs and risk factors was associated with tertiary level of education (OR 4.29, 95% CI 2.13–8.62 and OR 5.96, 95% CI 2.94–12.06), resp.) and self-reported diabetes (OR 1.97, 95% CI 1.18–3.32 and OR 1.84, 95% CI 1.04–3.25), resp.). Conclusion. Knowledge about stroke in Uganda is poor although the planned response to a stroke event was adequate. Educational strategies to increase stroke knowledge are urgently needed as a prelude to developing preventive programmes.

Allied Health and Nursing Students' Knowledge of Stroke Risk Factors and Warning Signs in Older Adults and Young Females

2016 ◽  
Vol 70 (4_Supplement_1) ◽  
pp. 7011515262p1
Author(s):  
Donna Wooster ◽  
Kelli Brogan ◽  
Chelsea Ready ◽  
Corey Sharp ◽  
Terese Singleton ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Nursing Students ◽  
Allied Health ◽  
Stroke Risk ◽  
Warning Signs ◽  
Young Females ◽  
Stroke Risk Factors

scholarly journals Knowledge of Stroke Risk Factors and Warning Signs in Patients with Recurrent Stroke or Recurrent Transient Ischaemic Attack in Thailand

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jittima Saengsuwan ◽  
Pathitta Suangpho ◽  
Somsak Tiamkao
Keyword(s):  
Risk Factors ◽  
Transient Ischaemic Attack ◽  
Stroke Risk ◽  
Recurrent Stroke ◽  
Warning Signs ◽  
High Risk Population ◽  
Cross Sectional ◽  
Stroke Risk Factors ◽  
Ischaemic Attack ◽  
Structured Interventions

Stroke is a global burden. It is not known whether patients who are most at risk of stroke (recurrent stroke or recurrent transient ischaemic attack) have enough knowledge of stroke risk factors and warning signs. The aim of this study was to assess the knowledge of stroke risk factors and warning signs in this high-risk population. We performed a cross-sectional questionnaire-based study of patients with recurrent stroke or recurrent TIA admitted to Srinagarind Hospital and Khon Kaen Hospital, Thailand. A total of 140 patients were included in the study (age 65.6±11.3 years [mean ± SD], 62 females). Using an open-ended questionnaire, nearly one-third of patients (31.4%) could not name any risk factors for stroke. The most commonly recognized risk factors were hypertension (35%), dyslipidemia (28.6%), and diabetes (22.9%). Regarding stroke warning signs, the most commonly recognized warning signs were sudden unilateral weakness (61.4%), sudden trouble with speaking (25.7%), and sudden trouble with walking, loss of balance, or dizziness (21.4%). Nineteen patients (13.6%) could not identify any warning signs. The results showed that knowledge of stroke obtained from open-ended questionnaires is still unsatisfactory. The healthcare provider should provide structured interventions to increase knowledge and awareness of stroke in these patients.

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