Literature DB >> 23246126

Education, household wealth and blood pressure in Albania, Armenia, Azerbaijan and Ukraine: findings from the Demographic Health Surveys, 2005-2009.

Michael O Harhay1, Jason S Harhay, Meera M Nair.   

Abstract

BACKGROUND: While socioeconomic gradients in cardiovascular disease have been well established in high-income countries, this relationship is not well understood in middle-income countries.
METHODS: Data from Demographic Health Surveys collected in Albania (2008-09), Armenia (2005), Azerbaijan (2006) and Ukraine (2007) were used to estimate age-adjusted differences in systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), hypertension (HTN), elevated blood pressure, and optimal blood pressure across a standardized wealth index, level of educational attainment, and urban versus rural residence.
RESULTS: The wealthiest Albanian females had lower average SBP, DBP, PP (all p<0.01) and HTN status (odds ratio [OR]=0.3, CI: 0.2-0.5, p<0.001) compared to the poorest; similar education gradients were also found. Such disparities also existed for Albanian men. Among Armenian women, urban (OR=1.4, 1.1-1.8, p<0.01), more educated (OR=0.7, CI: 0.6-0.9, p<0.01), and wealthier (OR=1.8, 1.4-2.4, p<0.001) women were more likely to have optimal blood pressure. Urban Armenian men were also more likely to have optimal blood pressure (OR=1.8, 1.2-2.9, p<0.01). Wealthier and urban Azerbaijani had lower risk of elevated blood pressure and Azerbaijani women displayed strong wealth gradients with higher quintiles of wealth associated with lower continuous blood pressure measures. There were no socioeconomic gradients for Ukrainian males or females.
CONCLUSIONS: There is compelling evidence that wealth and education gradients affect the probability of HTN for women in Albania, Armenia, and Azerbaijan, and for men in Albania.
Copyright © 2012 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23246126      PMCID: PMC3638237          DOI: 10.1016/j.ejim.2012.11.004

Source DB:  PubMed          Journal:  Eur J Intern Med        ISSN: 0953-6205            Impact factor:   4.487


  51 in total

1.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

2.  The gap gets bigger: changes in mortality and life expectancy, by education, 1981-2000.

Authors:  Ellen R Meara; Seth Richards; David M Cutler
Journal:  Health Aff (Millwood)       Date:  2008 Mar-Apr       Impact factor: 6.301

Review 3.  Mortality patterns in hypertension.

Authors:  Hisatomi Arima; Federica Barzi; John Chalmers
Journal:  J Hypertens       Date:  2011-12       Impact factor: 4.844

4.  Hypertension awareness, treatment, and control--continued disparities in adults: United States, 2005-2006.

Authors:  Yechiam Ostchega; Sung S Yoon; Jeffery Hughes; Tatiana Louis
Journal:  NCHS Data Brief       Date:  2008-01

Review 5.  Hypertension and socioeconomic status.

Authors:  Itamar Grotto; Michael Huerta; Yehonatan Sharabi
Journal:  Curr Opin Cardiol       Date:  2008-07       Impact factor: 2.161

Review 6.  Socioeconomic status and obesity: a review of the literature.

Authors:  J Sobal; A J Stunkard
Journal:  Psychol Bull       Date:  1989-03       Impact factor: 17.737

7.  Coronary artery disease in the developing world.

Authors:  Karen Okrainec; Devi K Banerjee; Mark J Eisenberg
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

8.  National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5·4 million participants.

Authors:  Goodarz Danaei; Mariel M Finucane; John K Lin; Gitanjali M Singh; Christopher J Paciorek; Melanie J Cowan; Farshad Farzadfar; Gretchen A Stevens; Stephen S Lim; Leanne M Riley; Majid Ezzati
Journal:  Lancet       Date:  2011-02-03       Impact factor: 79.321

9.  Understanding differences in health behaviors by education.

Authors:  David M Cutler; Adriana Lleras-Muney
Journal:  J Health Econ       Date:  2009-10-31       Impact factor: 3.804

10.  How effective are strategies for non-communicable disease prevention and control in a high risk population in a developing country? Isfahan Healthy Heart Programme.

Authors:  Abdolmehdi Baghaei; Nizal Sarrafzadegan; Katayoun Rabiei; Mojgan Gharipour; Ali Akbar Tavasoli; Shahin Shirani; Ahamad Bahonar; Amir Hossein Davarpanah; Mohammad Arash Ramezani; Roya Kelishadi
Journal:  Arch Med Sci       Date:  2010-03-09       Impact factor: 3.318

View more
  4 in total

Review 1.  Socioeconomic Status and Cardiovascular Disease: an Update.

Authors:  Carlos de Mestral; Silvia Stringhini
Journal:  Curr Cardiol Rep       Date:  2017-09-30       Impact factor: 2.931

2.  Associations of blood pressure with common factors among left-behind farmers in rural China: a cross-sectional study using quantile regression analysis.

Authors:  Xingrong Shen; Kaichun Li; Penglai Chen; Rui Feng; Han Liang; Guixian Tong; Jing Chen; Jing Chai; Yong Shi; Shaoyu Xie; Debin Wang
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

3.  Association of hypertension and hyperglycaemia with socioeconomic contexts in resource-poor settings: the Bangladesh Demographic and Health Survey.

Authors:  Eric Harshfield; Rajiv Chowdhury; Meera N Harhay; Henry Bergquist; Michael O Harhay
Journal:  Int J Epidemiol       Date:  2015-07-06       Impact factor: 7.196

Review 4.  Prevalence of Hypertension in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis.

Authors:  Ahmed M Sarki; Chidozie U Nduka; Saverio Stranges; Ngianga-Bakwin Kandala; Olalekan A Uthman
Journal:  Medicine (Baltimore)       Date:  2015-12       Impact factor: 1.817

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.