| Literature DB >> 24217260 |
Fawzi A Babiker1, Lamia A Elkhalifa, Mohamed E Moukhyer.
Abstract
BACKGROUND: The incidence of hypertension (HTN) has increased rapidly in the Sudan in the last few years. The aim of this study was to determine the prevalence of uncontrolled HTN and the risk factors associated with it in Sudanese adults.Entities:
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Year: 2013 PMID: 24217260 PMCID: PMC3767941 DOI: 10.5830/CVJA-2013-035
Source DB: PubMed Journal: Cardiovasc J Afr ISSN: 1015-9657 Impact factor: 1.167
Data Representing, Health Status, Family History, How HTN Was Detected For The First Time, Historical Measurement Of Blood Pressure In The Clinics And BP Measurement During Our Study (n = 200)
| Health status | Hypertension | 144 | 72 |
| Hypertension + diabetes | 48 | 24 | |
| Hypertension + stroke | 8 | 4 | |
| Family history | Hypertension | 112 | 56 |
| Diabetes | 84 | 42 | |
| Other | 4 | 2 | |
| HTN detection | Routine check-up | 92 | 46 |
| After complaint | 108 | 54 | |
| BP monitoring | 120–140/60–90 | 76 | 38 |
| (mmHg) | >140/>90 | 68 | 34 |
| Do not know | 56 | 28 | |
| BP measured in study | 120–140/60–90 | 128 | 64 |
| (mmHg) | >140/>90 | 72 | 36 |
Comparison Of Gender, Marital Status, Educational Level And Employment And Their Relationship With Level Of Control Of HTN In Subjects With Controlled Or Uncontrolled Hypertension (n = 200)
| Gender | ||||||||||
| Male | 92 | 46 | 36 | 39 | 56 | 61 | – | – | – | – |
| Female | 108 | 54 | 92 | 85 | 16 | 15 | – | – | – | – |
| Marital status | ||||||||||
| Single | 44 | 22 | 28 | 64 | 16 | 36 | 8 | 50 | 8 | 29 |
| Married | 148 | 74 | 92 | 62 | 56 | 38 | 48 | 62 | 8 | 11 |
| Widows | 4 | 2 | 4 | 100 | 0 | 0 | 0 | 0 | 0 | 0 |
| Divorced | 4 | 2 | 4 | 100 | 0 | 0 | 0 | 0 | 0 | 0 |
| Education | ||||||||||
| Illiterate | 32 | 16 | 24 | 75 | 8 | 25 | 8 | 50 | 0 | 0 |
| Primary school | 44 | 22 | 44 | 100 | 0 | 0 | 0 | 0 | 0 | 0 |
| Secondary school | 80 | 40 | 40 | 50 | 40 | 50 | 32 | 67 | 8 | 53 |
| Higher education | 44 | 22 | 20 | 45 | 25 | 55 | 16 | 67 | 8 | 40 |
| Employment | ||||||||||
| Workers | 68 | 34 | 40 | 59 | 28 | 41 | 24 | 86 | 4 | 10 |
| Government-employed | 88 | 44 | 52 | 59 | 36 | 41 | 28 | 50 | 8 | 25 |
| Self-employed | 44 | 22 | 36 | 82 | 8 | 18 | 4 | 50 | 4 | 11 |
Data Representing The Desire Of Patients To Contribute To Decreasing Their Bp By Monitoring It At Home, Adhering To Drug Use, Control Visits To The Doctor And Dietary Changes (n = 200)
| n | % | ||
| BP monitoring at home | Yes | 40 | 20 |
| No | 160 | 80 | |
| Drug intake as prescribed | Yes | 164 | 82 |
| No | 36 | 18 | |
| Efforts to control BP | Yes | 172 | 86 |
| No | 28 | 14 | |
| Control visits to doctor | Yes | 132 | 66 |
| No | 68 | 34 | |
| Salt in daily meals | Eat with family | 104 | 52 |
| Eat low salt | 96 | 48 | |
| Eating salty food (extra salt) | Yes | 120 | 60 |
| No | 80 | 40 |
Fig. 1.Control of hypertension in smokers and non-smokers. The table and graph show prevalence of hypertension, and smoking and hypertension in male and female smokers (n = 200).
Fig. 2.Effect of overweight and obesity on the control of hypertension. The table and graph show percentage of controlled and uncontrolled BP in normal, overweight and obese subjects (n = 200).