期刊论文详细信息
BMC Public Health
Prevalence of cardiovascular risk factors and socioeconomic level among public-sector workers in Angola
José G Mill1  Albano VL Ferreira2  Cristóvão CF Simões2  Sérgio L Rodrigues1  Marcelo P Baldo1  Mauer AA Gonçalves2  Amílcar BT Silva1  Pedro Magalhães1  Daniel P Capingana1 
[1] Department of Physiological Sciences, Federal University of Espírito Santo, Espírito Santo, Brazil;Department of Physiological Sciences, Medical School of the Agostinho Neto University, Luanda, Angola
关键词: Angola;    Socioeconomic status;    Cardiovascular risk factors;   
Others  :  1161950
DOI  :  10.1186/1471-2458-13-732
 received in 2012-06-15, accepted in 2013-06-10,  发布年份 2013
PDF
【 摘 要 】

Background

Cardiovascular diseases are the leading cause of death in the majority of developed and developing countries. African countries are currently facing an increase in both cardiovascular and transmitted diseases. In addition, cardiovascular risk varies among different socioeconomic groups. Thus, we determined the prevalence of modifiable cardiovascular risk factors in apparently healthy public-sector workers and investigated possible relationships with socioeconomic status.

Methods

We employed a cross-sectional study comprising 42.2% (n = 615) of the public-sector workers at Agostinho Neto University, 48% (n = 294) male and 52% (n= 321) female, with ages between 20 and 72 years and from various socioeconomic groups. The study was conducted from February 2009 to December 2010. Personal, anthropometric, biochemical, hemodynamic, socioeconomic, and physical activity data were collected.

Results

The prevalence rates of cardiovascular risk factors were as follows: hypertension, 45.2% (men 46.3%, women 44.2%, P > 0.05); hypercholesterolemia, 11.1% (men 10.5%, women 11.5%, P > 0.05); low high-density lipoprotein (HDL) cholesterol, 50.1% (men 36.9%, women 62.3%; P < 0.05); hypertriglyceridemia, 10.6% (men 12.6%, women 8.7%, P > 0.05); smoking, 7.2% (men 10.2%, women 4.4%; P < 0.05); diabetes, 5.7% (men 5.5%, women 5.9%, P > 0.05); overweight, 29.3% (men 27.3%, women 31.2%, P > 0.05); obesity, 19.6% (men 9.2%, women 29.0%; P < 0.05); sedentary lifestyle, 87.2% (men 83.0%, women 91,0%, P < 0.05); and left ventricular hypertrophy, 20% (men 32.0%, women 9.0%; P < 0.05). At least one risk factor was present in 27.7% of the sample; 15.2% had two risk factors, and 31.4% had three or more risk factors. Among the individuals with low socioeconomic status, 41.0% had three or more risk factors.

Conclusions

The results of this study suggest the existence of a high prevalence of multiple risk factors for cardiovascular disease in apparently healthy public-sector workers in Angola. The workers in lower socioeconomic groups had higher incidences of hypertension, smoking, and left ventricular hypertrophy.

【 授权许可】

   
2013 Capingana et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150413045302544.pdf 438KB PDF download
Figure 1. 33KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Yusuf S, Srinath R, Ounpuu S, Anand S: Global burden of cardiovascular diseases Part II. Variations in cardiovascular disease by specific ethnic groups and geographic regions and prevention strategies. Circulation 2001, 104:2855-2864.
  • [2]Mackay J, Mensah G: Atlas of heart disease and stroke. Geneva: World Health Organization; 2004.
  • [3]Murray CJL, Lopez AD: The Global Burden of Disease. A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020, Volume GBD Series I. Cambridge, Massachusetts: Harvard School of Public Health on behalf of the World Health Organization and the World Bank; 1996.
  • [4]Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJL: Global burden of disease and risk factors. Oxford England: Oxford University Press and Washington, DC, the World Bank; 2006.
  • [5]Hattersley I: Trends in life expectancy by social class: An update. Health Statistic Quarter 1999, 2:16-24.
  • [6]Winkleby MA, Cubbin C: Influence of individual and neighborhood socioeconomic status on mortality among black, Mexican-American, and white women and men in the United States. J Epidemiol Comm Health 2003, 57:444-452.
  • [7]Lewis CE, Smith DE, Wallace DD, Williams OD, Bild DE, Jacobs DR: Seven- year trends in body weight and associations with lifestyle and behavioral characteristics in black and white young adults: The CARDIA study. Am J Public Health 1997, 87:635-642.
  • [8]Genest J, McPherson R, Frohlich J, Anderson T, Campbell N, Carpentier A, Couture P, Dufour R, Fodor G, Francis GA, Grover S, Gupta M, Hegele RA, Lau DC, Leiter L, Lewis GF, Lonn E, Mancini GBND, Pearson GJ, Sniderman A, Stone JA, Ur E: Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult – 2009 recommendations. Can J Cardiol 2009, 25:567-579.
  • [9]World Bank: Esperança de vida em Angola. 2009. Available at: http://www.tradingeconomics.com/angola/mortality-rate-infant-per-1-000-live-births-wb-data.html webcite. (Accessed on 09/02/2012)
  • [10]IBEP – Inquérito Integrado Sobre o Bem-Estar da População: Taxa de mortalidade em crianças abaixo de 5 anos de idade em 2009, Volume Volume II. 2011. Available at: http://www.childinfo.org/files/Angola_IBEP_2008-09_Relatorio_de_Tabelas_Vol2_Por.pdf webcite. (Accessed on 09/02/2012)
  • [11]World Health Organization: Chronic diseases and health promotion: Stepwise approach to surveillance (STEPS). Geneva; 2004. Available at: http://www.who.int/chp/steps/instrument/en/index.html webcite
  • [12]Ministério do Planejamento da República de Angola: Estratégia de combate à pobreza. Reinserção social, reabilitação e reconstrução e esbabilização econômica. 2005. [Edição revista] Available at: http://mirror.undp.org/angola/linkrtf/ecp-angola2005.pdf webcite
  • [13]World Health Organization: Socioeconomic classification, physical activity, Health interview surveys: Towards international harmonization of methods and instruments, Volume Volume 58. European series: WHO regional publications; 1996.
  • [14]Hu G, Tuomilehto J, Silventoinnen K, Barengo N, Jousilahti P: Joint effects of physical activity, body mass index, waist circumference, and waist-to-hip ratio with the risk of cardiovascular disease among middle-aged Finnish men and women. Eur Heart J 2004, 25:2212-2219.
  • [15]JNC VII: The Seventh Report of the Joint National Committee on the Prevention, Detection, Evaluation and Treatment of High Blood Pressure. JAMA 2003, 289:2560-2572.
  • [16]World Health Organization: Obesity: Preventing and managing the global epidemic, Volume 894. Geneva: Report of a WHO consultation. WHO technical report; 2000.
  • [17]Friedwald WT, Levy RI, Fredrickson DS: Estimation of the concentration of low-density cholesterol in plasma without the use of the preparative ultracentrifuge. Clin Chem 1972, 18:449-502.
  • [18]Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) JAMA 2001, 285:2486-2497.
  • [19]Gakidou E, Mallinger L, Abbott-Klafter J, Guerrero R, Villalpando S, Ridaura RL, Aekplakorn W, Naghavi M, Lim S, Lozano R, Murray CJL: Management of diabetes and associated cardiovascular risk factors in seven countries: a comparison of data from national health examination surveys. Bull World Health Organ 2011, 89:172-183.
  • [20]Sokolow M, Lyon TP: The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads. Am Heart J 1949, 37:161-186.
  • [21]Marmot MG, Smith GD, Stansfeld S, Patel C, North F, Head J, White I, Brunner E, Feeney A: Health inequalities among British civil servants: The Whitehall II study. Lancet 1991, 337:1387-1393.
  • [22]WRI – World Resources Institute: Earth trends The environmental information portal. Washington, DC; 2005. Available: http://pdf.wri.org/worldresources_2005_brochure.pdf webcite. (Accessed 22/03/2012)
  • [23]Pednekar MS, Gupta R, Gupta PC: Illiteracy, low educational status, and cardiovascular mortality in India. BMC Publ Health 2011, 11:567. BioMed Central Full Text
  • [24]Xavier D, Pais P, Devereaux PJ, Xie C, Prabhakaran D, Reddy KS, Gupta R, Joshi P, Kerkar P, Thanickachalam S, Haridas KK, Jaison TM, Naik S, Maity AK, Yusuf S, on behalf of the CREATE Registry Investigators: Treatment and outcomes of acute coronary syndromes in India (CREATE): a prospective analysis of registry data. Lancet 2008, 371:1435-1442.
  • [25]Mollentze WF, Moore AJ, Steyn AF, Joubert G, Steyn K, Oosthuizen GM, Weich DJV: Coronary heart disease risk factors in rural and urban Orange Free State black populations. S Afr Med J 1995, 85:90-96.
  • [26]Wamala JF, Karyabakabo Z, Ndungutse D, Guwatudde D: Prevalence factors associated with hypertension in Rukungiri district, Uganda – A community-based study. Afr Health Sci 2009, 9:153-160.
  • [27]Sani MU, Wahab KW, Yusuf BO, Gbadamosi M, Johnson OV, Gbadamosi A: Modifiable cardiovascular risk factors among an apparently healthy adult Nigerian population – a cross-sectional study. BMC Res Notes 2010, 3:11. BioMed Central Full Text
  • [28]Tran A, Gelaye B, Girma B, Lemma S, Berhane Y, Bekele T, Khali A, Williams MA: Prevalence of metabolic syndrome among working adults in Ethiopia. Inter J Hypertens 2011, 2011:193719.
  • [29]Twagirumukiza M, Bacquer D, Kips JG, Backer G, Stichele RV, Bortel LMV: Current and projected prevalence of arterial hypertension in sub- Saharan Africa by sex, age, and habitat: an estimate from population studies. J Hypertens 2011, 29:1243-1252.
  • [30]Marmot MG, Bosma H, Hermingway H, Bruner E, Stansfeld S: Contribution of job control and other risk factors to social variations in coronary heart disease incidence. Lancet 1997, 350:235-239.
  • [31]Evaristo-Neto AD, Foss-Freitas MC, Foss MC: Prevalence of diabetes mellitus and impaired glucose tolerance in a rural community of Angola. BMC Diabetology & Metabolic Syndrome 2010, 2:63.
  • [32]Abubakari AR, Bhopal RS: Systematic review on the prevalence of diabetes, overweight/obesity, and physical inactivity in Ghanaians and Nigerians. Public Health 2008, 122:173-182. 24
  • [33]Levitt NS: Diabetes in Africa epidemiology, management, and healthcare challenges. Heart 2008, 94:1376-1382.
  • [34]Bindraban NR, van Valkengoed IGM, Mairuhu G, Holleman F, Hoeskstra JB, Michels BP, Koopmans RP, Stronks K: Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese, and ethnic Dutch: a cross-sectional population-based study. BMC Publ Health 2008, 8:271. BioMed Central Full Text
  • [35]Centers for Disease Control and Prevention: Trends in cholesterol screening and awareness of high blood cholesterol – United States, 1991–2003. Morbidity Mortality Weekly Report MMWR 2005, 54:865-870.
  • [36]Pinto JN: Direito à alimentação e segurança alimentar e nutricional nos países da CPLP. 2011. [FAOSTAT] Available at: http://farmersplatform.weebly.com/uploads/5/6/8/7/5687387/esan-cplp_diagnostico_de_base.pdf webcite. (Accessed on 09/02/2012)
  • [37]UNICEF – United Nations Children’s Fund: Mortality due to malnutrition in Angolan Children. 2012. Available at: http://www.afrol.com/articles/16767 webcite. (Accessed on 28/03/2012)
  • [38]Nishida C, Mucavele P: Overweight and Obesity a new Nutrition Emergency? Monitoring the rapidly emerging public health problem of overweight and obesity: The WHO global database on Body Mass Index. SCN News 2005., 29Available at: http://www.unsystem.org/scn/Publications/SCNNews/scnnews29.pdf webcite
  • [39]Gal DL, Santos AC, Barros H: Leisure-time versus full-day energy expenditure: A cross-sectional study of sedentarism in a Portuguese urban population. BMC Publ Health 2005, 5:16. BioMed Central Full Text
  • [40]Addo J, Smeeth L, Leon DA: Smoking patterns in Ghanaian civil servants: Changes over three decades. Inter J Environ Res Public Health 2009, 6:200-208.
  • [41]Mann DL: Left ventricular size and shape: determinants of mechanical signal transduction pathways. Heart Failure Rev 2005, 10:95-100.
  • [42]Muiesan ML, Salvetti M, Monteduro C, Bonzi B, Paini A, Viola S, Poisa P, Rizzoni D, Castellano M, Agabiti-Rosei E: Left ventricular concentric geometry during treatment adversely affects cardiovascular prognosis in hypertensive patients. Hypertension 2004, 43:731-738.
  文献评价指标  
  下载次数:6次 浏览次数:12次