Epidemiology of Hypertension Stages in Two Countries in Sub-Sahara Africa: Factors Associated with Hypertension Stages

Gebreselassie, Kirubel Zemedkun; Padyab, Mojgan

doi:10.1155/2015/959256

Cited by 32 publications

(46 citation statements)

References 36 publications

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“…This supports the notion that hypertension is a silent killer which did not magnificent unless others wise reach to the sever stage. In multivariate analysis family history of hypertension [AOR: 25.0 (11.65 -98.12)] is positively associated with HTN in the studied community which comparable with this studies [15][16][17]. Walking for at least ten minutes continuously every day was negatively associated with hypertension.…”

Section: Discussionsupporting

confidence: 84%

“…Then the calculated sample size of 330 was proportionally allocated to the selected kebeles. Each study participants were selected and interviewed every two intervals which were determined by statistical formula until the desired sample size was achieved for the respective kebeles [13][14][15][16][17]. In cases where there is more than one eligible individual in the selected household, a lottery method was used where as if there is no eligible person in the selected household the next household was visited accordingly.…”

Section: Study Design and Participantsmentioning

confidence: 99%

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Behavioral Risk Factors of Hypertension among Pastoral and Agro Pastoral Adult Communities, Eastern Ethiopia, Somali Regional State, 2016

Seifu¹

2017

J Trop Dis

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Section: Discussionsupporting

confidence: 84%

Section: Study Design and Participantsmentioning

confidence: 99%

Behavioral Risk Factors of Hypertension among Pastoral and Agro Pastoral Adult Communities, Eastern Ethiopia, Somali Regional State, 2016

Seifu¹

2017

J Trop Dis

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“…BP was positively correlated with BMI, stronger for diastolic than systolic BP. Other studies have also demonstrated ageand BMI-related increases in systolic and diastolic BP [31] or both as independent predictors for arterial hypertension [32]. Overall, 30% of prescreened participants were classified as hypertensive, which is similar to the WHO's age-standardized estimate of 29% [1].…”

Section: Pre-diabetic [%]supporting

confidence: 61%

Targeted Screening Reveals High Numbers of Prediabetes and Diabetes Mellitus in Moshi, Tanzania

Ludwig¹,

Streicher²

2017

J Diabetes Metab

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Objective: Chronic non-communicable diseases, such as type 2 diabetes mellitus, have become global major health problems. In the United Republic of Tanzania, previous studies showed diabetes prevalences ranging from 0.6% to 5.8% and of pre-diabetes, from 9.1% to 10.6%. The pre-diabetes screening procedure described here was a targeted screening to recruit eligible subjects for a subsequent dietary intervention in Moshi, Tanzania. Methods:The pre-diabetes screening procedure described here was used to identify subjects for a dietary intervention in Moshi, Tanzania. Main enrollment criteria for participants were fasting plasma glucose levels of 5.6-6.9 mmol/L (100-125 mg/dL) on two days or on one day plus HbA1c in the range of 5.7-7.5% (39-58% mmol/mol), body mass index of 27-35 kg/m², and age between 30-65 years.Results: Through pre-screening of a total of 1,256 people were examined for BMI and age; 382 people were further screened for markers of pre-diabetes. Following ADA and WHO-criteria, 51% (73%) had normal, 35% (13%) pre-diabetic, and 15% (15%) diabetic fasting plasma glucose levels. Among the individuals with hyperglycemia indicating diabetes mellitus, 60% were unaware of their condition. Applying ADA criteria for HbA1c to all people, 42% had normal, 42% had pre-diabetic, and 16% had diabetic HbA1c levels. Identified risk factors for increased fasting plasma glucose were age, waist circumference, body mass index, and a family history of diabetes mellitus. Conclusion:Although the screening sample was not representative for the study area's population and not diagnostic, the high rates of pre-diabetic and diabetic fasting plasma glucose levels are of public health concern. The low concordance between the data for FPG and HbA1c requires further investigation, as well as the discrepancy between ADA and WHO definitions of impaired fasting glucose.

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“…In Nigeria, a neighborhoods country, the prevalence of hypertension among adults fluctuated from 2.1% to 47.2% in a sample of 400 participants [8], whereas in Ghana the prevalence of pre-hypertension and hypertension was 30.7% and 42.4%, respectively in a sample of 6,000 participants [9]. In a sample of 1,431 participants aged 18 years or older, the study older [10].…”

mentioning

confidence: 91%

Pre-Hypertension among Adults in West Africa

Kabore¹,

Fongwa²,

Lazrd³

2017

JCCR

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Submit Manuscript | http://medcraveonline.com were the third cause of death representing 120.30 per 100,000 population in Burkina Faso. In Nigeria, a neighborhoods country, the prevalence of hypertension among adults fluctuated from 2.1% to 47.2% in a sample of 400 participants [8], whereas in Ghana the prevalence of pre-hypertension and hypertension was 30.7% and 42.4%, respectively in a sample of 6,000 participants [9]. In a sample of 1,431 participants aged 18 years or older, the study older [10]. Uncovered that 40% were pre-hypertensive. Prevalence and risk factors are preventable with educational approaches. In recent years, studies have assessed intrapersonal factors such as age, sex, waist circumference, body mass index, triglycerides, and cholesterol levels as risk profiles for prehypertension in adults [11,12]. Furthermore, extrapersonal factors such as smoking, alcohol consumption, physical inactivity, and high sodium diets are also attributed to increased risk profiles [12,13]. Knowledge of intrapersonal and extrapersonal risk factors for pre-hypertension can then be used to shift the effects of foremost risks associated with the disease. These factors are also measurable upon investigation and might be responsive to early intervention. Identifying the intrapersonal and extrapersonal risk profiles is an essential precondition for selecting effective prevention measures and decreasing the major cardiovascular diseases. However, in West African countries, none study guided by a Neuman Systems Model has assessed the intrapersonal and extrapersonal risk factors for pre-hypertension, especially among adults in Burkina Faso. Guided by Neuman Systems Theoretical Framework [14] (Figure 1). Intrapersonal (i.e., physiological, psychological, developmental, and spiritual variables) and extrapersonal (i.e., sociocultural variable) risk factors can affect the stability of adult system's health [14]. Thus, the aim of this study was ascertain the correlated and predictive intrapersonal and extrapersonal risk factors for pre-HTN among adults in urban health districts. Guiding theoretical framework: Neuman Systems Model Origin of the Neuman Systems ModelThe Neuman Systems Model (NSM) was developed in 1970 by Betty Neuman and was first published in Nursing Research Journal in 1972 [15]. The philosophical and theoretical underpinnings are based on the general systems theory [16], the wholeness of life [17], the field theory [18] and the typology of prevention as interventions [19]. In addition, the model was undergirded by the theory of stress and adaptation [20], and the theory of stress and coping [21]. Neuman (1970) provided a wholistic perspective for nursing assessment and directions for actions to stabilize a person health. The Worldview of Neuman Systems ModelNeuman's model is based on the philosophy that emphasizes the wholism in human beings. In this perspective of wholistim and nursing caring, Neuman added spirituality to the model as an innate component of the human being that interrelates with all the other ...

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Epidemiology of Hypertension Stages in Two Countries in Sub-Sahara Africa: Factors Associated with Hypertension Stages

Cited by 32 publications

References 36 publications

Behavioral Risk Factors of Hypertension among Pastoral and Agro Pastoral Adult Communities, Eastern Ethiopia, Somali Regional State, 2016

Behavioral Risk Factors of Hypertension among Pastoral and Agro Pastoral Adult Communities, Eastern Ethiopia, Somali Regional State, 2016

Targeted Screening Reveals High Numbers of Prediabetes and Diabetes Mellitus in Moshi, Tanzania

Pre-Hypertension among Adults in West Africa

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