High Blood Pressure Prevalence, Awareness, Control, and Associated Factors in a Low-Resource African Setting

Mbouemboue, Olivier Pancha; Ngoufack, Tsougmo Jacques Olivier

doi:10.3389/fcvm.2019.00119

Cited by 14 publications

(11 citation statements)

References 38 publications

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“…This prevalence is nearly similar to a previous study done in public hospitals in Addis Ababa and Tigray Ethiopia 63% [16], Jimma 57.8% [6], Iran 61.1% [19] and South Africa 56.8% [20]. Contrary to this, the prevalence was lower to what was reported in a study conducted at Zewditu memorial hospital 73.8% [17], Jigjiga 66% [21], Addis Ababa primary health care facilities 69% [8], Cameron 69.44% [22], Zimbabwe 67.2%, and Kenya 66.6% [23]. The possible reason for this difference is explained by inclusion criteria that those studies include patients with other associated comorbid illness.…”

Section: Association Of Blood Group With Anthropometric Measurementssupporting

confidence: 82%

Association of Blood Pressure, Anthropometric Indices and Blood Group among Hypertensive Patients at Health centers in Addis Ababa Ethiopia

Fetiya¹,

Tesfaye²,

Abebaye³

2022

J Hypertens Manag

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Background: Uncontrolled BP is a major health problem both in developed and developing countries. Life style, behavioral or genetic factors are some of the risk factors for uncontrolled BP. There are many researches have done on the risk factors for hypertension. However, there is no research done on the association between blood pressure, anthropometric indices and blood group among hypertensive patients in health centers in Addis Ababa, Ethiopia. The aim of this study was therefore, to assess the association between blood pressure, anthropometric indices and blood group among hypertensive patients. Materials and methods:A facility-based quantitative crosssectional study was carried out among 235 hypertensive patients in health centers in Addis Ababa, Ethiopia. Structured questionnaires, anthropometric measurements and laboratory analysis were used to collect the data. The data were analyzed by using SPSS version 25 software. The binary and multiple logistic regression analysis were used. Result:In more than half, 142 (60.4%) of the hypertensive patients, the blood pressure was not controlled. "O" blood type was found to be the most common blood group accounting for 100 (42.6%), followed by "A" 66(28%), "B" 58(24.7%) and "AB" (4.7%). Physical inactivity (AOR = 2.47, 95% CI (1.10, 5.52), P = 0.027), salt intake (AOR = 2.22, 95% CI (1.03, 4.8), P = 0.043), BMI (AOR = 7.79, 95% CI (3.54, 17.13), P = 0.000), high waist circumference (AOR = 3.18, 95% CI (1.19, 8.47), P = 0.021), High Hip (AOR = 5.1, 95% CI (1.2, 21.25), P = 0.025), and "O" blood group (AOR = 2.46, 95% CI (1.0, 5.62), P = 0.026) were significantly associated with uncontrolled blood pressure. Conclusion:More than half of the hypertensive patients' BP was not controlled. Significant associations were found between BP and salt intake, physical inactivity, BMI, WC, HC and blood group. HC and WC indices should be used routinely as a monitoring method of uncontrolled blood pressure in addition to BMI.

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Section: Association Of Blood Group With Anthropometric Measurementssupporting

confidence: 82%

Association of Blood Pressure, Anthropometric Indices and Blood Group among Hypertensive Patients at Health centers in Addis Ababa Ethiopia

Fetiya¹,

Tesfaye²,

Abebaye³

2022

J Hypertens Manag

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“…Similar observations were made by Zekewos et al ( 49 ) who reported that age advancement, BMI (≥25.0 kg/m 2 ), and central obesity (waist-to-height ratio ≥0.50) were positively associated with hypertension. Mbouemboue and Ngoufack ( 50 ) also reported that in a low-resource African setting, age, overweight and high serum triglyceride level were identified as independent factors predicting hypertension. The observation of Mahmood et al ( 51 ) that in addition to age, education was an independent risk factor of hypertension for urban participants living in India, was not confirmed in the current study; however, adults residing in a rural area, with higher education levels were three times more likely to have CVDs; this can possibly be attributed to higher employment and income levels that can lead to unhealthy eating habits due to a higher intake of fast foods ( 6 ).…”

Section: Discussionmentioning

confidence: 90%

A Comparison of the Socio-Behavioral-Metabolic Risk Profiles and Associated Factors for Chronic Diseases of Lifestyle in Urban and Rural Communities in Central South Africa

Zyl

Rooyen

Joubert

et al. 2020

Front. Public Health

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Background: The global escalating prevalence of lifestyle-related non-communicable diseases places a significant burden on health systems. Chronic diseases of lifestyle (CDL) are a group of diseases that share similar modifiable risk factors that can result in long-term disease processes. Considering the socio-behavioral-metabolic risk profiles of communities and risk factors predictive of the presence of CDL can assist in the development of focused and effective community-based prevention, intervention, and treatment programs for CDL. Aim: To determine the socio-behavioral-metabolic risk profiles and identify associated factors for the following CDL: obesity, cardiovascular disease, hypertension, and type 2 diabetes mellitus in rural and urban communities in central South Africa. Methodology: This cross-sectional study included adults aged 25–65 years in the rural Southern Free State and urban Mangaung. Social determinants, behavioral and metabolic risk factors, and inflammatory biomarkers for CDL were determined. Results: In total, 575 rural (mean age: 42 years; 71% female) and 429 urban (mean age: 44 years; 76% female) participants were included in the study. More than 20% of participants in both communities reported being previously diagnosed with cardiovascular diseases; with reported hypertension and diabetes mellitus more prevalent among rural participants. Insufficient intake of fruit and vegetables, alcohol use, and high blood pressure were among the top five risk factors in both communities. Physical inactivity ranked among the top two risk factors in the urban community; while alcohol and tobacco use was significantly higher in the rural community. Fibrinogen was the most prevalent inflammatory marker in both communities (32.9 rural vs. 48.3% urban). High sensitivity C-reactive protein (Hs-CRP), only available for rural participants, was high with increased levels in more than 80% of participants. In both communities, being female, having high blood pressure and increased fibrinogen levels were associated with obesity. Conclusion: This study illustrated the high prevalence of socio-behavioral-metabolic risk factors for CDL, and identified similarities and distinct differences in the risk profiles of rural and urban communities. Considering the CDL risk profiles of communities can assist in prioritizing health needs and contribute to the development of tailor-made community-based primary health care prevention, intervention, and health promotion programs.

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“…Although, this situation may rapidly change due to, urbanization, and increasing rise of the prevalence of CVD risk factors and the alarming low level of awareness of these risk factors in the Ngaoundere locality [17]. In previous studies we showed that awareness of hypertension, diabetes and dyslipidemias was poor in our locality, and even among the aware, control were suboptimal [17,18].…”

Section: Discussionmentioning

confidence: 64%

Prevalence of Stroke, Coronary Artery Disease, Arrhythmias and Heart Failure: A Community-Based Study in Northern Cameroon

Mbouemboue¹,

Tsougmo²,

Houmkoua³

et al. 2021

CCR

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Data on the cardiovascular disease epidemiology in Northern Cameroon remain insufficient. This study aimed at assessing the prevalence of stroke, coronary artery disease (CAD), arrhythmias and heart failure among the Ngaoundere population. This was a community-based study conducted in Ngaoundere from March to June 2018. The study population consisted of adults over 20 years' old who had been living in the city of Ngaoundere for at least one year and who had consented to participate in the study. Data was collected using a structured questionnaire. The questionnaire included sociodemographic (gender, age, occupation, education, marital status, cardiovascular risk factors, personal and family history of CVD), and physical examination. Stroke, CAD, arrhythmias and heart failure were established by a combination of self reporting and the judgment of a cardiologist coauthor according to a physical examination. In total, 948 subjects aged 20 to 89 were included in the study. Their mean age was 39.92±14.75 years. The prevalence of stroke, CAD, arrhythmias and heart failure were 0.74%, 3.06%, 3.6%, and 12.45% respectively in the study population. In conclusion, in this area, prevalence of stroke, arrhythmias and heart failure was high among adult population. However, further studies including instrumental methods of cardiovascular diagnosis are needed to determine trends of CVD's prevalence in Ngaoundere locality.

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High Blood Pressure Prevalence, Awareness, Control, and Associated Factors in a Low-Resource African Setting

Cited by 14 publications

References 38 publications

Association of Blood Pressure, Anthropometric Indices and Blood Group among Hypertensive Patients at Health centers in Addis Ababa Ethiopia

Association of Blood Pressure, Anthropometric Indices and Blood Group among Hypertensive Patients at Health centers in Addis Ababa Ethiopia

A Comparison of the Socio-Behavioral-Metabolic Risk Profiles and Associated Factors for Chronic Diseases of Lifestyle in Urban and Rural Communities in Central South Africa

Prevalence of Stroke, Coronary Artery Disease, Arrhythmias and Heart Failure: A Community-Based Study in Northern Cameroon

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