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 ◽  
...  

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.

2017 ◽  
Vol 1 ◽  
pp. 73-82
Author(s):  
Naresh Manandhar

Background: Hypertension is a progressive cardiovascular syndrome arising from complex and interrelated etiologies. Males have slightly higher prevalence than female in most of countries of Southeast-Asian region.Objective: The objective of study is to find out prevalence and the risk factors of hypertension at Sipaghat, Sindhulchowk, Nepal.Materials and Methods: A cross-sectional study was conducted at Sipaghat of Sindhupalchowk district in May 2016 and 260 persons were selected randomly. Results: The prevalence of hypertension was higher in male (25.4%) than female (17.4%). Mean age of study population was 42.08 years with standard deviation, 15.95 years. Variables namely age group, smoking, alcohol consumption and family history of hypertension were found to be significant at 5 percent level of significance. Alcohol consumption and smokers have more than two times higher chance of getting hypertension compared to alcohol non-consumer and nonsmoker with 95% confidence intervals were 1.08-4.80 and 1.21-6.10, respectively. Persons with family history of hypertension have 3.8 times more chance of getting hypertension compared to no family history of hypertension with 1.89-7.61 of 95% confidence interval.Conclusion: Lifestyle modification reduces blood pressure which prevents or delays the incidence of hypertension. Hypertension can be controlled and prevented by modifying the lifestyle. People should be advised to avoid modifiable risk factors of hypertension like smoking, consumption of alcohol and physical inactivity through health education programs.Nepalese Journal of Statistics, 2017, Vol. 1, 73-82


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Dawn M Aycock ◽  
Kenya D Kirkendoll ◽  
Kisha C Coleman ◽  
Karen C Albright ◽  
Anne W Alexandrov

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.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Niloufar N Hadidi ◽  
Meghan K Tierney ◽  
Jane Claeys ◽  
Olga V Gurvich

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zeguo Shao ◽  
Yuhong Xiang ◽  
Yingchao Zhu ◽  
Aiqin Fan ◽  
Peng Zhang

Purpose. To explore the influences of smoking, alcohol consumption, drinking tea, diet, sleep, and exercise on the risk of stroke and relationships among the factors, present corresponding knowledge-based rules, and provide a scientific basis for assessment and intervention of risk factors of stroke. Methods. The decision tree C4.5 algorithm was optimized and utilized to establish a model for stroke risk assessment; then, the main risk factors of stroke (including hypertension, dyslipidemia, diabetes, atrial fibrillation, body mass index (BMI), history of stroke, family history of stroke, and transient ischemic attack (TIA)) and daily habits (e.g., smoking, alcohol consumption, drinking tea, diet, sleep, and exercise) were analyzed; corresponding knowledge-based rules were finally presented. Establish a correlation matrix of stroke risk factors and analyze the relationship between stroke risk factors. Results. The accuracy of the established model for stroke risk assessment was 87.53%, and the kappa coefficient was 0.8344, which was superior to that of the random forest and Logistic algorithm. Additionally, 37 knowledge-based rules that can be used for prevention of risk factors of stroke were derived and verified. According to in-depth analysis of risk factors of stroke, the values of smoking, exercise, sleep, drinking tea, alcohol consumption, and diet were 6.00, 7.00, 8.67, 9.33, 10.00, 10.60, and 10.75, respectively, indicating that their influence on risk factors of stroke was reduced in turn; on the one hand, smoking and exercise were strongly associated with other risk factors of stroke; on the other hand, sleep, drinking tea, alcohol consumption, and diet were not firmly associated with other risk factors of stroke, and they were relatively tightly associated with smoking and exercise. Conclusions. Establishment of a model for stroke risk assessment, analysis of factors influencing risk factors of stroke, analysis of relationships among those factors, and derivation of knowledge-based rules are helpful for prevention and treatment of stroke.


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Zeena Salman ◽  
Gregory D. Kirk ◽  
Mark D. DeBoer

Cardiovascular disease (CVD) frequently has roots in childhood, including following childhood-onset hypertension. Incidence of CVD has increased in developing countries in East Africa during recent urbanization. Effects of these shifts on childhood hypertension are unclear. Our objectives were to (1) Determine the prevalence of hypertension among primary schoolchildren in Khartoum, Sudan; (2) Determine whether hypertension in this setting is associated with obesity. We performed a cross sectional study of 6-12y children from two schools randomly selected in Khartoum, Sudan. Height, weight, BMI, BP and family history of hypertension were assessed. Age-, height- and gender-specific BP curves were used to determine pre-hypertension (90–95%) and hypertension (>95%). Of 304 children, 45 (14.8%) were overweight; 32 (10.5%) were obese; 15 (4.9%) were pre-hypertensive and 15 (4.9%) were hypertensive. Obesity but not family history of hypertension was associated with current hypertension. In multiple logistic regression, adjusting for family history, children who were obese had a relative-risk of 14.7 (CI 2.45-88.2) for systolic hypertension compared to normal-weight children. We conclude that overweight and obesity are highly prevalent among primary schoolchildren in urban Sudan and are strongly associated with hypertension. That obesity-associated cardiovascular sequelae exist in the developing world at young ages may be a harbinger of future CVD in sub-Saharan Africa.


2010 ◽  
Vol 23 (3) ◽  
pp. 299-304 ◽  
Author(s):  
M. Rodriguez-Moran ◽  
C. Aradillas-Garcia ◽  
L. E. Simental-Mendia ◽  
E. Monreal-Escalante ◽  
E. de la Cruz Mendoza ◽  
...  

2019 ◽  
Vol 4 (7) ◽  

Introduction: Patients undergoing hemodialysis are at increased risk of stroke. However, less known about the impact of some of the stroke risk factors, and the value of stroke risk scores in determining the risk in those patients. Our main goal. To assess the risk factors for stroke in hemodialysis patients and the use of the new CHA2DS2-VASc score for stroke assessment. Methods: Single center, retrospective cohort study of 336 patients undergoing hemodialysis from June 24, 2018, to September 6, 2018, was recruited. Baseline demographics, clinical, and laboratory data were collected. We calculated the CHA2 DS2 -VASc score for stroke assessment in all patients and categorized them into high, moderate and low risk patients according to CHA2 DS2 - VASc score and subcategorized them to two groups atrial fibrillation (AFib) and Non- Atrial fibrillation (Non AFib) patients. Results: 336 patients were included in our study; the majority of patients were at high risk with a CHA2 DS2 -VASc Score mean of 2.9± 1.5, although history of stroke was observed only in 15 patients (4.46%). According to CHA2 DS2 - VASc score, 280 patients were at high risk, 172 (51.19%) were high-risk patients on treatment (anticoagulant or antiplatelet) and 108(32.14%) patients were high risk patients not on treatment 48 were at moderate risk (14.28%) and 8 were at low risk (2.38 %). Patients were divided into subgroups as non-AFib and AFib. In non-AFib patients 320 (95.23%), high-risk patients 103 (32.18%) were not treated; high-risk patients with treatment are 162 (50.62%), moderate patients were 47 (14.68%), 8(2.5%) was in low risk. AFib patients were 16 with a mean CHA2 DS2 -VASc score of 4.4±1.1. Patients with AFib were all at high risk except 1 was at moderate risk (6.25%). There were 11 (68.75%) patients on treatment and 5 (31.25%) patients not on treatment. The risk factors for stroke that were statistically significant in increasing score risk for all patients were: age > 65 (95% CI, -2.04– -1.29; p = 0.000), being female (95% CI, -1.36– -0.68; p = 0.000) hypertension (95% CI, -2.59– -1.37; p = 0.000), diabetes (95% CI, -2.10– -1.50; p = 0.000), CVD (95% CI, -2.07– -1.24; p=0.000), history of stroke or TIA (95% CI, -3.70– -2.03; p = 0.000), CHF or LVEF (95% CI, -2.28– - 0.91; p = 0.000). Conclusions: The risk of stroke in hemodialysis patients is significant according to the use of CHA2 DS2 -VASc score in Non-AFib hemodialysis patients shows supportive evidence of increased risk of stroke in those patients, which suggest the importance of close monitoring of patients with stroke risk factors by the nephrologist and the stroke team which will lead to the initiation of early prophylaxis in those patients.


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