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Prevalence of cardiovascular risk factors among adults without obvious cardiovascular disease in a rural community in Ekiti State, Southwest Nigeria
© Ogunmola et al.; licensee BioMed Central Ltd. 2013
Received: 19 February 2013
Accepted: 10 October 2013
Published: 20 October 2013
Cardiovascular disease worldwide is largely driven by modifiable risk factors. This study sought to identify and determine the prevalence of traditional cardiovascular risk factors according to sex in inhabitants of a rural community in a developing country.
This cross-sectional study included participants aged ≥40 years in the rural community of Aaye Ekiti, Ekiti State, Southwest Nigeria. All participants who met the inclusion criteria were drawn from the 161 households in the community. Data on the following were collected: arterial hypertension, diabetes mellitus, obesity, dyslipidaemia, smoking, physical activity, alcohol consumption, and sociodemographic parameters. These were analysed with SPSS version 16.0 software.
The 104 participants (33 male, 71 female) had a mean age (± standard deviation) of 66.77 ± 12.06 years (range, 40–88 years). The majority of the participants (56.7%) were aged 60–79 years. Hypertension was present in 66.4%, diabetes mellitus in 4.8%, abdominal obesity in 38.46%, smoking in 2.9%, physical inactivity in 29.8%, and high alcohol consumption in 1%. Dyslipidaemia, as represented by low HDL-C, occurred in 30%. There were borderline high levels of TC in 4.5%, LDL-C in 1.1%, and TG in 12.5%, but no subject had a high level. Abdominal obesity, alcohol consumption and smoking were statistically significantly associated with sex.
In this study, traditional cardiovascular risk factors, apart from hypertension, obesity, physical inactivity and low HDL-C had a low prevalence in the rural Nigerian community. However, the high prevalence of hypertension in this poor community suggests a high risk of a future cardiovascular event.
KeywordsHypertension Cardiovascular disease Risk factors Rural communities Nigeria
Cardiovascular disease (CVD) is the leading cause of death in adults worldwide . In developing countries, the proportion of worldwide deaths associated with CVD is projected to rise from 28.9% in 1990 to 36.3% by the year 2020 . CVD now causes most deaths in all developing regions, and is the leading cause of death in those older than 45 years in sub-Saharan Africa .
CVD worldwide is largely driven by modifiable risk factors. These risk factors include smoking, lack of physical activity, low fruit and vegetable intake, high fat and salt intake, hypertension, abdominal obesity, dyslipidaemia, and excess alcohol intake . The upward trend in CVD in sub-Saharan Africa is likely as a result of the increasing prevalence of some of these modifiable risk factors .
The continuing enormous burden of CVD in developed countries, the concerning trends in cardiovascular risk profiles of adolescents and adults, and the emerging increases in CVD in developing countries underscore the crucial need to redouble treatment and prevention efforts . This is particularly important in Nigeria (and by extension, Africa), where the health care expenditure per capita is 23 dollars (4.6% of total Gross Domestic Product) . Therefore, this study sought to identify and determine the prevalence of traditional (conventional) cardiovascular risk factors according to sex and sociodemographic factors, in residents of a typical Nigerian rural community.
To the best of the authors’ knowledge, no known study of this nature has been conducted in Ekiti State, and no recent study has been conducted in Southwest Nigeria to comprehensively assess CVD risk factors. We hypothesised that traditional cardiovascular risk factors were of low frequency in rural dwellers of Ekiti in Ekiti State, Nigeria. This study was conducted to provide epidemiological information on conventional cardiovascular risk factors among rural dwellers, and therefore a useful reference for preventive strategies, policy formulation and further studies.
This study was a descriptive, cross-sectional survey conducted in Aaye Ekiti, a typical rural community in the Ido/Osi Local Government Area of Ekiti State, Southwest Nigeria. It is situated about 30 km from Ado-Ekiti, the state capital. The major occupation is farming, mainly cultivation of root crops. The community has an estimated population of 1,610, and is divided into four quarters, namely Onala (51 houses), Oke-Ode (28 houses), Odo-ode (22 houses), and Temidire (60 houses), with a total number of 161 houses, which were visited during the enrolment process. Eligible households were defined as one having participants that met the inclusion criteria. A total of 120 participants were enrolled.
The inclusion criteria were: age ≥40 years; no apparent cardiovascular disease; had lived for at least 3 years in the community; and provided consent to participate in the study. The exclusion criteria were: pregnancy and incapacity to give informed consent.
The community consisted mainly of children and elderly inhabitants, but few young adults, the majority of whom had migrated to the cities for white-collar jobs. Those in the community who met the inclusion criteria were encouraged to participate by community leaders, chiefs and announcements in strategic places, e.g., the church, meetings and community gatherings. The only comprehensive health centre available in the community was used to evaluate all subjects recruited for this study.
The project was approved by the committee on ethics of the Federal Medical Centre Ido-Ekiti, Ekiti State. Permission to use the health centre was obtained from the officer in charge. Individual participant written consent was obtained after a thorough explanation was given and understanding was established. Confidentiality was assured to all participants and data used for this study were stripped of personally identifiable information. Treatment (both preventive and curative) was given to all those who were identified as requiring it, and some were referred to appropriate health institutions for further treatment and follow-up.
The following definitions were adopted for this study. Hypertension: persistently elevated blood pressure (BP) ≥140/90 mmHg, based on at least two readings on separate occasions after the initial screening [6–9]. The choice of 140/90 mmHg as a cut-off point is based on the Seventh Report of the Joint National Committee on prevention, detection, evaluation and treatment of high blood pressure (JNC 7) criteria . Diabetes mellitus and impaired fasting blood glucose: diagnosed according to the World Health Organization diagnostic criteria . Rural community: an area where people work or live on a farm or the number of residents is less than 2000 . Dyslipidaemia: National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) cut-off points were used to identify participants with desirable, borderline high and high levels of lipoprotein risk factors —total cholesterol (TC): ≤4.9 mmmol/L, 5–5.9 mmol/L and ≥6.0 mmol/L, respectively; low density lipoprotein cholesterol (LDL-C): <3.24 mmol/L, 3.25–3.98 mmol/L, and ≥4.0 mmol/L, respectively; triglyceride (TG): <1.70 mmol/L, 1.70–2.25 mmol/L, and ≥2.26 mmol/L, respectively; high density lipoprotein cholesterol (HDL-C) cut-off points used to identify participants with protective, borderline, and low levels were: ≥1.5 mmol/L, 1.0–1.4 mmol/L, and ≤0.9 mmol/L, respectively. Classification of body mass index (BMI) [13, 14]: normal = 18.5–24.9 kg/m2; overweight = 25.0–29.9 kg/m2; obese = ≥30 kg/m2. Abdominal obesity: waist circumference >102 cm in males or >88 cm in females . Alcohol intake: calculated as the percentage of alcohol by volume multiplied by the volume divided by 1000; low-risk alcohol consumption was defined as a maximum of 3 units per day in females, and a maximum of 4 units per day in males, with at least 2 days per week free of alcohol consumption ; higher consumption was considered high risk. Smoking: considered present if smoking was reported up to the day of the interview. Level of physical activity: determined using the modified Hipny Physical Activity Questionnaire (based on the Health Insurance Plan (HIP) of New York questionnaire) ; insufficient physical activity was considered if occupation-related activity was less than 15 units on the validated HIP scale, or leisure-related physical activity was less than 4 units on the scale.
All health professionals involved in this study received training in the protocols and in the measurement of all variables involved in this study, to ensure uniformity and minimize errors. A pre-test was undertaken and necessary modification adopted, before the main data collection was performed. Each participant was comfortably seated and assessed for all the listed conventional cardiovascular risk factors as well as taken through a well-structured questionnaire that consisted of sociodemographic characteristics. Height (m) and weight (kg) were measured by standardized techniques and equipment . The reference point used to measure waist circumference with a non-stretchable tape was the highest point of the iliac crest. The narrowest region (visible waist) of the abdomen was used when this region did not coincide with the highest point of the iliac crest .
Socioeconomic status was assessed using a general model [19, 20] as a convenient index for classification into lower class, middle class and upper class, since the majority of the population were peasant farmers. BP was measured with a mercury sphygmomanometer at least twice in each participant with at least 5 min of rest in between, with the subject seated in a chair and relaxed, the back supported, and the arm at heart level. During the initial screening, BP both arms was measured and the arm with higher BP used subsequently. Tobacco, alcohol and caffeine were not allowed for at least 30 min before taking the measurements.
Fasting blood glucose and fasting lipid profile were determined using capillary blood obtained from a pin prick on finger Pulp using Cardio Check P.A Polymer Technology systems, Inc., a point of care analyser that is a reliable alternative to conventional laboratory devices. Accuracy of the equipment was ±6% compared with standard laboratory equipment.
Data were entered into a statistical computer software package (SPSS version 16.0, SPSS Inc., Chicago, IL, USA). The Student t-test was used to determine means ± standard deviation, and the Chi-square test was used for proportions. The Yates correction and Fisher extract test were used when the frequencies expected were lower than five in one or more cells, respectively. In those tests, a p-value of < 0.05 was considered statistically significant.
Sociodemographic characteristics of the participants by sex
Male (N = 33)
Female (N = 71)
Total (N = 104)
Age group (years)
Highest educational level attained
No formal education
Distribution of traditional cardiovascular risk factors according to sex
Male (N = 33)
Female (N = 71)
Total (N = 104)
BP Category (mmHg)
BMI (kg/m 2 )
Blood sugar category
Impaired fasting glucose
No blood glucose result
Waist circumference (cm)
≤102 (male), ≤88 (female)
>102 (male), >88 (female)
Blood glucose values of all participants ranged between 3.4 and 13.6 mmol/L (mean, 4.6 ± 1.5 mmol/L). In males, blood sugar ranged between 3.4 and 5.6 mmol/L (mean, 4.3 ± 0.5 mmol/L), and in females blood glucose ranged between 3.4 and 13.6 mmol/L (mean, 4.8 ± 1.7 mmol/L). In total, five subjects (4.8%) were diabetic, and all were female (Table 2).
BMI ranged between 15.4 and 44.8 kg/m2 (mean, 25.0 ± 5.4 kg/m2). In males, BMI ranged between 17.0 and 35.0 kg/m2 (mean, 24.3 ± 4.3 kg/m2), and in females, BMI ranged between 15.3 and 44.8 kg/m2 (mean, 25.4 ± 5.8 kg/m2). In total, 14.4% were obese, and 29.8% were overweight. There were no significant differences between the sexes.
The proportion of current smokers as shown in Table 2 was low. The proportion of participants consuming alcohol was 30.8%, with only one subject at high risk of alcohol-related diseases. The level of physical activity showed that most of the population were physically active. There was also low proportion of male participants with abdominal obesity (9.1%) in contrast to that observed for the females (52.1%). There were statistically significant differences between the sexes in tobacco use, alcohol consumption and abdominal obesity (Table 2).
Lipid panel distribution according to sex
Male (N = 30)
Female (N = 60)
Total (N = 90)
1.00 – 1.48
Discussion and conclusions
This study confirmed the hypothesis that most traditional risk factors for CVD are of low prevalence in rural dwellers of Ekiti in Ekiti State, Nigeria. Similar reports in other rural areas have been documented [21–24]. However, the prevalence of CVD risk factors has been shown to be on the increase both in Western and African countries, particularly in urban areas, while rural areas that have suffered from rural-urban migration are also becoming affected [25–27]. Community-based studies in rural areas in developing countries are lacking because of a lack of funding.
The participants in this study were predominantly in the age group 60–79 years (56.7%) and there was a preponderance of females, possibly because many of the young adults, particularly males, had migrated to the cities for work, and more males than females were engaged in crude farming activities, which have long been recognized as a risk factor for earlier death in men [28–30]. The very old formed the lowest proportion (17.3%) of the participants, which reflects the reduced life expectancy in low to middle income countries to which this community belonged . Marital status, in which no males were widowed compared with 52.9% of females, may reflect the traditional practice in this community allowing men not only to marry more than one wife but to marry another wife in the event of the death of his wife. Furthermore, many young/middle-aged women were married to elderly men in the community. The majority of the participants belonged to the lower socioeconomic class, which was a reflection of their educational level (54.8% had no formal education) and therefore their source of income was predominantly peasant farming and petty trading. Besides this form of self-employed low-income work, the community did not have access to industrial or government employment.
Of all the modifiable risk factors evaluated, hypertension was found to be the highest burden for the participants. This is similar to earlier reports from rural communities in Ghana and Nigeria [31, 32]; however, a higher prevalence of hypertension was demonstrated in this study. Combined systolic and diastolic hypertension (42.3%) was the commonest, followed by isolated systolic hypertension (ISH) (21.2%), and last, pure diastolic hypertension (2.9%). This may be explained by both the age structure of our population and the cut-off used to define hypertension. Over time, the cut-off value for hypertension has been lowered from 160/95 mmHg to 140/90 mmHg, which is bound to identify more people as having hypertension. As observed in this study and others from similar rural and semi-urban communities, there was an age-related increase in the prevalence of hypertension [31–33]. About 74% of our participants were above 60 years of age and therefore could be classified as elderly people, hence the possibility of a greater burden of hypertension. Significant numbers of the women were also past the menopause, which could also contribute to the burden of hypertension .
The overall prevalence (66.4%) of hypertension in this study was higher than in a study by Onwubere et al.  in Southeast Nigeria (46.4%). However, this study considered a population of 40–88 years of age while the study of Onwubere et al. included a population with an age range of 40–70 years and in a different Nigerian tribe. These factors may contribute to the difference as genetic factors are very important in the development of hypertension. The same reasons are also applicable to the prevalence of hypertension in a rural community in the Northern part of Nigeria (15.2%) reported by Okesina et al. . The higher prevalence of ISH compared with pure diastolic hypertension in this study is expected, as the predominant age group was elderly and ISH is known to increase with age, unlike pure diastolic hypertension [36, 37]. Combined systolic and diastolic hypertension as well as pure diastolic hypertension was more prevalent in males than females but the difference was not significant. The sex difference was similar to previous findings [7, 36, 37]. The prevalence of ISH was similar in both sexes.
The prevalence of obesity was 14.4%, with a higher rate in females (18.3%) than in males (6.0%). This may be related to the higher level of physical activity of men arising from their farming activities, while females engage in more sedentary activities such as trading. This is in accord with several previous studies [21, 22, 35]. Under-nutrition was also observed with a prevalence of 5.8%, and was commoner in males (6.1%) than in females (5.6%), though this was not a significant difference. This under-nutrition coexisting with obesity demonstrates a double burden in this community.
Abdominal obesity, as measured by waist circumference and perhaps a more sensitive measure of obesity in African populations [38, 39], was observed in 38.46% of the participants, with a significantly higher rate in females (52.11%) compared with males (9.09%). This can be explained as a result of high caloric expenditure physical activities (farming) that predominate in males in this study compared with low caloric expenditure sedentary activities (trading) that predominate in females. This finding is similar to reports by Andre et al. and Adegoke et al. The smoking frequency among the participants was very low (2.9%), probably because of the religious nature of the community as well as poverty. Only a few of those who consumed alcohol (30.8%) were at high risk (1%), unlike the finding by Joel et al. in an African population , and this was also probably related to religion and poverty.
The low prevalence of diabetes observed in this study is similar to previous studies [35, 36]. This may result from the absence of an affluent lifestyle and fewer problems with obesity when compared with more developed societies. The female preponderance was in tandem with other indicators of insulin resistance in this study, such as abdominal obesity (a well-known risk factor for metabolic syndrome and type II diabetes) [41, 42], generalised obesity, and physical inactivity.
The high overall prevalence of overweight (29.8%)/generalised obesity (14.4%), truncal obesity (38.5%) and physical inactivity (29.8%) could partly be explained by a lack of access to leisure activity (recreation) in this community as well as a substantial proportion (26.9%) of the population in sedentary work (trading).
The lipid profile in this population was predominantly within the desired range, similar to previous reports [43, 44], with almost no abnormalities in TC, LDL-C, and TG. The occupation of these individuals who are mainly farmers with high caloric expenditure may explain these results. Despite these observations, 30% of the participants had low HDL-C, which may not be unconnected with lack of dynamic (aerobic) exercise in this population as this probably is the most important among lifestyle interventions for raising HDL-C [45, 46], and the similarities between males and females may be explained by the high number of postmenopausal females in whom the influence of oestrogen would be attenuated .
In conclusion, except for hypertension, obesity, physical inactivity and low HDL-C, the low proportion of most of the traditional cardiovascular risk factors such as smoking, high-risk alcohol consumption, diabetes, and high levels of TC, LDL-C, and TG was impressive. However, it is important to further emphasize the health benefits of reducing risk factors in an educational programme in this kind of community. The high prevalence of hypertension in this community is of concern, with possible sequelae of stroke, cardiac arrest, and heart failure. Therefore, this report highlights an urgent need for preventive and control educational programmes in a community of this nature.
We thank Drs OE Olalekan, OO Oguntoye, P Olowoyo, AO Adeagbo, AO Esan, AO Adeoye, members of staff of the Comprehensive Health Centre, Aaye Ekiti, and community members of Aaye Ekiti. The blood glucose and lipid panel tests were sponsored by Pfizer Global Pharmaceuticals.
- Murray CJL, Lopez AD: Mortality by cause for eight regions of the world: Global Burden of Disease study. Lancet. 1997, 349: 1269-1276.View ArticlePubMedGoogle Scholar
- Murray CJL, Lopez AD: The global burden disease. A comprehensive assessment of mortality and disability from disease, injuries, and risk factors in. 1990, http://www.worldbank.org/transport/roads/saf_docs/gbd.pdf, and projected to 2020,Google Scholar
- Thomas AG, Michael JG: Harrison’s Principles of internal medicine. Global Burden of cardiovascular Disease. Volume 1. Edited by: Robert OB, Douglas LM, Douglas PZ, Peter L. 2012, Philadelphia: Elsevier Saunders, 1-20. 9Google Scholar
- Hennekens CH: Increasing burden of cardiovascular disease: current knowledge and future directions for research on risk factors. Circulation. 1998, 97: 1095-1102.View ArticlePubMedGoogle Scholar
- Bank TW: World Development indicators. http://data.worldbank.org/data-catalog/world-development-indicators,
- Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G, Grassi G, Heagerty AM, Kjeldsen SE, Laurent S, et al: 2007 ESH-ESC Practice Guidelines for the Management of Arterial Hypertension: ESH-ESC Task Force on the Management of Arterial Hypertension. J Hypertens. 2007, 25 (9): 1751-1762.View ArticlePubMedGoogle Scholar
- Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, et al: The Seventh Report of the Joint National Committee on prevention, detection, evaluation and treatment of high blood pressure: the JNC 7 Report. JAMA. 2003, 289 (19): 2560-2572.View ArticlePubMedGoogle Scholar
- Williams B, Poulter NR, Brown MJ, Davis M, McInnes GT, Potter JF, Sever PS, McG Thom S: British Hypertension Society. Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV. J Hum Hypertens. 2004, 18: 139-185.View ArticlePubMedGoogle Scholar
- Whitworth JA: World Health Organisation- International Society of Hypertension writing group. World Health Organisation- International Society of Hypertension Statement on management of hypertension. J Hum Hypertens. 2003, 21: 1983-1992.View ArticleGoogle Scholar
- American Diabetes Association: Diagnosis and classification of diabetes mellitus. Diabetes care. 2010, 33 (supply 1): 562.Google Scholar
- Reardon T, Berdegue J, Escoban G: Rural Non-farm Employment and Incomes in Latin America. World Dev. 2001, 29: 395-409.View ArticleGoogle Scholar
- Expert Panel on Detention, Evaluation, and Treatment of High Blood Cholesterol in Adults: National Cholesterol Education Programme: Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol (Adult Treatment Panel III). JAMA. 2001, 285: 2486-2497.View ArticleGoogle Scholar
- World Health Organization: Physical Status: The Use And Interpretation of Anthropometry - Report of a WHO Expert Committee. 1995, Geneva: WHO Technical Report Series, 854.Google Scholar
- World Health Organization: Obesity: Preventing and managing the global epidemic- Report of a WHO consultation. 2000, WHO Technical Report Series, 894.Google Scholar
- NHS Lothian Health Promotion Service: Current daily sensible drinking guidelines for adults. http://www.nhslothian.scot.nhs.uk,
- Elley W, Kerse NM, Swinburn B, Aroll B: Measuring physical activity in primary health care research; Validity and reliability of two questionnaires. N Z fam pract. 2003, 30: 171-180.Google Scholar
- National Centre for Health Statistics: National Health and Nutrition Examination Survey: body Composition Procedures Manual. http://www.cdc.gov/nchs/data/nhanes/bc.pdf.2008,
- Manson C, Katzmarsyk PT: Variability in waist circumference measurements according to anatomic measurement site. Obesity (Silver Spring). 2009, 17: 1789-1795.View ArticleGoogle Scholar
- Reza GS, Hadi A, Babak D: Socieconomic status and class perception. IJLS. 2007, 3: 183-200.Google Scholar
- Brown DF: “Social class and status”. Mey, Jacob. Coincise Encyclopedia of pragmatics. 2009, ElsevierGoogle Scholar
- Okesina AB, Oparinde DP, Akindoyin KA, Erasmus RT: Prevalence of some risk factors of coronary heart disease, in a rural Nigerian population. East Afr Med J. 1999, 76: 212-216.PubMedGoogle Scholar
- Adedoyin RA, Mbada CE, Balogun MO, Adebayo RA, Martins T, Ismail IS: Obesity prevalence in adult residents of Ile-Ife, Nigeria. Nig Q J Hosp Med. 2009, 19: 63-68.PubMedGoogle Scholar
- Joel N, Robert C, Sarah S, Seye A, Sonia ES: Risk factors for non-communicable diseases among older adults in rural Africa. Trop Med Int Hlth. 2011, 16: 640-646.View ArticleGoogle Scholar
- Andre CM, Ana NL: Assessment of cardiovascular risk factors in a rural community in the Brazilia State of Bahia. Arg, Bras Cardiol. 2003, 81: 297-302.View ArticleGoogle Scholar
- Sobngwi E, Mbanya JCN, Unwin NC, Kengne AP, Fezeu L, Minkoulou EM, Aspray TJ, Alberti KGMM: “Physical activity and its relationship with obesity, hypertension and diabetes in urban and rural Cameroon. Inter J of Obesity. 2002, 26 (7): 1009-1016.View ArticleGoogle Scholar
- Christensen DL, Eis J, Hansen AW, Larsson MW, Nwaniki DL, Kilonzo B, Tetens I, Bolt MK, Kaduka L, Borch-Johnsen K, Friis H: “Obesity and regional fat distribution in Kenyan populations: impact of ethnicity and urbanization. Ann of Hum Biology. 2008, 35 (2): 232-249.View ArticleGoogle Scholar
- Njelekela M, Negishi H, Nara Y, Tomohiro M, Kaga S, Noguchi T, Kanda T, Yamori M, Mashalla Y, Liu LJ, Mtabaji J, Ikeda K, Yamori Y: Cardiovascular risk factors in Tanzania: a revisit. Acta Trop. 2001, 79 (3): 231-239.View ArticlePubMedGoogle Scholar
- Jneid H, Fonarow GC, Cannon CP: Sex differences in medical care and early death after acute myocardial infarction. Circulation. 2008, 118: 2803.View ArticlePubMedGoogle Scholar
- Lyoyd-Jones D, Adams R, Carnethon : Heart disease and stroke statistics-2009 update: A report from the American Heart Association Statistics Committee and stroke statistics Subcommittee. Circulation. 2009, 119: 21.View ArticleGoogle Scholar
- Yusuf S, Reddy S, Onnpuu S, Anand S: Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001, 104: 2746.View ArticlePubMedGoogle Scholar
- Pobee JO: Community-based high blood pressure programs in sub-Saharan Africa. Ethn Dis. 1993, 3: S38-S45.PubMedGoogle Scholar
- Adedoyin RA, Mbada CE, Balogun MO, Martins T, Adebayo RA, Akintomide A, Akinwusi PO: Prevalence and pattern of hypertension in a semi-urban community in Nigeria. Eur J Cardiovasc Prev Rehab. 2008, 15: 683-687.View ArticleGoogle Scholar
- Addo J, Amoah AGB, Kwadwo KA: “The changing patterns of hypertension in Ghana: a study of four rural communities in the Ga District. Ethn Dis. 2006, 16 (4): 894-899.PubMedGoogle Scholar
- Maas AHEM, Franke HR: Women’s health in menopause with a focus on hypertension. Neth Heart J. 2009, 17 (2): 68-72.View ArticlePubMedPubMed CentralGoogle Scholar
- Onwubere BJC, Ejim EC, Okafor CI, Emehel A, Mbah AU, Onyia U, Mendis S: Pattern of blood presure indices among the residents of a rural community in the South East Nigeria. Int J Hypertens. 2011, 2011: 1-6.View ArticleGoogle Scholar
- Franlins S, Gustin WT, Wong M: Haemodynamic Patterns of age-related changes in blood pressure. The Framingham Heart Study. Circulation. 1997, 96: 308-412.View ArticleGoogle Scholar
- Haijar I, Kotchen T: Trends in prevalence, awareness, treatment and control of Hypertension in the United States, 1988-2000. JAMA. 2003, 290: 199-205.View ArticleGoogle Scholar
- Steyn K, Silwa K, Hawken S: Risk factors associated with myocardial infarction in Africa: the INTERHEART Africa study. Circulation. 2005, 112: 3554-3561.View ArticlePubMedGoogle Scholar
- Maher D, Waswa L, Baisley K, Karabarinde A, Unwin N, Grosskurth H: Distribution of hyperglycaemia and related cardiovascular disease risk factors in low-income countries: a cross-sectional population-based survey in rural Uganda. Int J Epidemiol. 2011, 40 (1): 160-171.View ArticlePubMedGoogle Scholar
- Adegoke OA, Adedoyin RA, Balogun MO, Adebayo RA, Bisiriyu LA, Salawu AA: Prevalence of metabolic syndrome in a rural community in Nigeria. Metab Syndr Relat Disord. 2010, 8 (1): 59-62.View ArticlePubMedGoogle Scholar
- Cappuccio FP, Micah FB, Emmett L, Kerry SM, Antwis S, Martin-Peprah R, Phillips RO, Plange-Rhule J, Eastwood JB: Prevalence, Detection, Management, and control of Hypertension in Ashanti, West Africa. Hypertens. 2004, 43: 1017-1022.View ArticleGoogle Scholar
- Reaven GM: Role of insulin resistance in human disease. Diabetes. 1988, 37: 1595-1607.View ArticlePubMedGoogle Scholar
- Oladapo OO, Salako L, Sodiq O, Shoyinka K, Adedapo K, Falase AO: A prevalence of cardiometabolic risk factors among a rural Yoruba South-Western Nigeria Population: a population-based survey. Cardiovasc J Afr. 2010, 21: 26-31.PubMedPubMed CentralGoogle Scholar
- Ezenwaka CE, Akanji AO, Akanji BO, Unwin NC, Adejuwon CA: The prevalence of insulin resistance and other cardiovascular disease risk factors in healthy elderly Southwestern Nigerians. Atherosclerosis. 1997, 128: 201-211.View ArticlePubMedGoogle Scholar
- Williams PT: Relationship of distance run per week to coronary heart disease risk factors in 8283 male runners. The National runners’ Health study. Arch Intern Med. 1997, 157: 191-198.View ArticlePubMedPubMed CentralGoogle Scholar
- Durstine JL, GrandJean PW, Daris PG, Ferguson MA, Alderson NL, Debose KD: Blood lipid and lipoprotein adaptations to exercise: a quantitative analysis. Sports Med. 2001, 31: 1033-1062.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2261/13/89/prepub
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