| Literature DB >> 25332707 |
Augustine N Odili1, John O Ogedengbe2, Maxwell Nwegbu2, Felicia O Anumah3, Samuel Asala2, Jan A Staessen4.
Abstract
Sub-Saharan Africa is currently undergoing an epidemiological transition from a disease burden largely attributable to communicable diseases to that resulting from a combination of both communicable and chronic non-communicable diseases. Data on chronic disease incidence, lifestyle, environmental and genetic risk factors are sparse in this region. This report aimed at providing relevant information in respect to risk factors that increase blood pressure and lead to development of intermediate cardiovascular phenotypes. We presented the rationale, objectives and key methodological features of the Nigerian Population Research on Environment, Gene and Health (NIPREGH) study. The challenges encountered in carrying out population study in this part of the world and the approaches at surmounting them were also presented. The preliminary data as at 20 November 2013 showed that out of the 205 individuals invited starting from early April 2013, 160 (72 women) consented and were enrolled; giving a response rate of 78%. Participants' age ranged from 18 to 80 years, with a mean (SD) of 39.8 (12.4) years and they were of 34 different ethnic groups spread over 24 states out of the 36 states that constitute Nigeria. The mean (SD) of office and home blood pressures were 113.0 (15.2) mm Hg systolic, 73.5 (12.5) mm Hg diastolic and 117.3 (15.0) mm Hg systolic, and 76.0 (9.6) mm Hg diastolic, respectively. Forty-three (26.8%) participants were hypertensive and 8 (5.0%) were diabetic. In addition to having the unique potential of recruiting a cohort that is a true representative of the entire Nigerian population, NIPREGH is feasible and the objectives realisable.Entities:
Keywords: Africa, black populations, blood pressure, hypertension, population science
Year: 2014 PMID: 25332707 PMCID: PMC4197386 DOI: 10.7555/JBR.28.20130199
Source DB: PubMed Journal: J Biomed Res ISSN: 1674-8301
Examination at Office and during Home visits
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Interview structure and components
| Questionnaire | Variable(s) |
| Socio-demographic characteristics | Age, gender, ethnicity, state of origin (of father), Educational and occupational history, marital history. |
| Family history | History of hypertension in first degree relatives |
| Medical history | Self-rated health, past history of hypertension, diabetes, kidney disease and frequency of malaria attacks |
| Medication use | Prescription and non-prescription drugs, use of antimalarial |
| Alcohol | Present and past consumption and type and of alcohol consumed. Reason for stopping |
| Tobacco | Past and current smoking. Type tobacco and method of consumption, second hand smoking |
| Physical activity | Leisure, occupation and sport-related place activity |
| Sleep disordered breathing | Presence and severity of snoring, daytime somnelence |
| Psychosocial factors | Perception of stress in daily activities, ability to cope with situations perceived as stressful |
| Reproductive health | Menarche, Previous pregnancies, use of contraceptives, hormonal therapy, previous history of hypertension or diabetes in pregnancy, premenstrual syndrome[39] |
Fig. 1Map of Nigeria showing the state of origin of recruited participants across Nigeria.
Inset is the location of Nigeria within the continent of Africa
Fig. 2Age distribution of recruited participants (hatched bars) in comparison with the country age distribution (solid bars) as reported in the 2006 census figures.
Baseline clinical characteristics
| Characteristic | Women | Men | All |
| 72(45) | 88(160) | 160(100) | |
| Smokers | 0(0.0) | 4(4.5) | 4(2.5) |
| Drinking alcohol | 21(29.2) | 45(51.1)† | 66(41.3) |
| Diabetes mellitus | 5(6.9) | 3(3.4) | 8(5.0) |
| Hypertension | 21(29.2) | 22(25.0) | 43(26.8) |
| Masked hypertension | 3(4.2) | 6(6.8) | 9(5.6) |
| White-coat hypertension | 7(9.7) | 6(6.8) | 13(8.1) |
| Age, y | 39.3(13.4) | 40.3(11.6) | 39.8(12.4) |
| Weight, kg | 74.9(15.9) | 79.6(14.4) | 77.5(15.3) |
| Height, m | 163.7(5.7) | 175.8(6.2)‡ | 170.4(8.5) |
| Body mass index, kg/m2 | 27.9(5.3) | 25.7(4.2)† | 26.7(4.8) |
| Waist circumference, cm | 95.5(12.2) | 92.9(17.0) | 94.0(15.0) |
| Hip circumference, cm | 108.5(10.9) | 102.6(11.4)† | 105.3(11.5) |
| Waist-to-hip ratio | 0.87(0.06) | 0.9(0.1) | 0.89(0.09) |
| Skin fold thickness, mm | 17.5(9.0) | 15.1(7.8) | 16.2(8.4) |
| Arm circumference, cm | 33.5(5.7) | 32.5(4.1) | 32.9(4.8) |
| Casual blood glucose, mmol/l | 6.2(1.7) | 5.8(0.8) | 6.0(1.4) |
| Heart rate, beats per minute | 75.9(10.5) | 71.9(9.8)* | 73.7(10.3) |
Comparison between women and men, *P < 0.05, †P < 0.01, ‡P < 0.001. Hypertension: either on antihypertensive treatment or office blood pressure ≥ 140/90mmHg; Diabetes mellitus: either on treatment or casual blood glucose (measured irrespective of last meal greater than 11.1 mmol/L).
Baseline haemodynamic characteristics of office and home examination
| Characteristic | Women | Men | All |
| N = 72 | N = 88 | N = 160 | |
| Systolic, mm Hg | 110.9(16.7) | 114.7(13.6) | 113.0(15.2) |
| Diastolic, mm Hg | 71.4(12.7) | 75.2(12.2) | 73.5(12.5) |
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| Systolic, mm Hg | 110.8(15.2) | 122.3(13.0)* | 117.3(15.0) |
| Diastolic, mm Hg | 74.5(10.3) | 77.2(8.8) | 76.0(9.6) |
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| Systolic, mm Hg | 111.9(15.5) | 122.4(13.0)* | 117.8(15.5) |
| Diastolic, mm Hg | 75.6(10.1) | 78.1(9.4) | 77.0(9.7) |
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| Systolic, mm Hg | 109.7(15.4) | 121.6(12.3)* | 116.5(14.9) |
| Diastolic, mm Hg | 73.2(11.4) | 76.5(9.0) | 75.1(10.2) |
Comparison between women and men, *P < 0.0001