The Relationship Between Socioeconomic Status and CV Risk Factors The CRONICAS Cohort Study of Peruvian Adults

被引:28
作者
Quispe, Renato [1 ]
Benziger, Catherine P. [1 ,2 ]
Carlos Bazo-Alvarez, Juan [1 ]
Howe, Laura D. [3 ]
Checkley, William [4 ,5 ]
Gilman, Robert H. [4 ,6 ]
Smeeth, Liam [7 ]
Bernabe-Ortiz, Antonio [1 ]
Jaime Miranda, J. [1 ]
机构
[1] Univ Peruana Cayetano Heredia, CRONICAS Ctr Excellence Chron Dis, Lima, Peru
[2] Univ Washington, Div Cardiol, Seattle, WA 98195 USA
[3] Univ Bristol, Sch Social & Community Med, MRC Integrat Epidemiol Unit, Bristol, Avon, England
[4] Johns Hopkins Univ, Bloomberg Sch Publ Hlth, Dept Int Hlth, Program Global Dis Epidemiol & Control, Baltimore, MD 21205 USA
[5] Johns Hopkins Univ, Sch Med, Div Pulm & Crit Care, Baltimore, MD 21205 USA
[6] Asociac Benef PRISMA, Lima, Peru
[7] London Sch Hyg & Trop Med, Fac Epidemiol & Populat Hlth, London, England
关键词
MIDDLE-INCOME COUNTRIES; TO-URBAN MIGRANTS; CARDIOVASCULAR-DISEASE; BLOOD-PRESSURE; LIFE-STYLE; SOCIAL DETERMINANTS; LATIN-AMERICAN; OBESITY; PREVALENCE; HYPERTENSION;
D O I
10.1016/j.gheart.2015.12.005
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Variations in the distribution of cardiovascular disease and risk factors by socioeconomic status (SES) have been described in affluent societies, yet a better understanding of these patterns is needed for most low-and middle-income countries. Objective: This study sought to describe the relationship between cardiovascular risk factors and SES using monthly family income, educational attainment, and assets index, in 4 Peruvian sites. Methods: Baseline data from an age-and sex-stratified random sample of participants, ages >= 35 years, from 4 Peruvian sites (CRONICAS Cohort Study, 2010) were used. The SES indicators considered were monthly family income (n = 3,220), educational attainment (n = 3,598), and assets index (n = 3,601). Behavioral risk factors included current tobacco use, alcohol drinking, physical activity, daily intake of fruits and vegetables, and no control of salt intake. Cardiometabolic risk factors included obesity, elevated waist circumference, hypertension, insulin resistance, diabetes mellitus, low high-density lipoprotein cholesterol, and high triglyceride levels. Results: In the overall population, 41.6% reported a monthly family income <US$198, and 45.6% had none or primary education. Important differences were noted between the socioeconomic indicators: for example, higher income and higher scores on an asset index were associated with greater risk of obesity, whereas higher levels of education were associated with lower risk of obesity. In contrast, higher SES according to all 3 indicators was associated with higher levels of triglycerides. Conclusions: The association between SES and cardiometabolic risk factors varies depending on the SES indicator used. These results highlight the need to contextualize risk factors by socioeconomic groups in Latin American settings.
引用
收藏
页码:121 / +
页数:12
相关论文
共 59 条
[1]   Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis [J].
Agardh, Emilie ;
Allebeck, Peter ;
Hallqvist, Johan ;
Moradi, Tahereh ;
Sidorchuk, Anna .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2011, 40 (03) :804-818
[2]   Education Modifies the Association of Wealth with Obesity in Women in Middle-Income but Not Low-Income Countries: An Interaction Study Using Seven National Datasets, 2005-2010 [J].
Aitsi-Selmi, Amina ;
Bell, Ruth ;
Shipley, Martin J. ;
Marmot, Michael G. .
PLOS ONE, 2014, 9 (03)
[3]  
Ali MK, 2015, EUR J PREV CARDIOL
[4]  
Álvarez-Dongo Doris, 2012, Rev. perú. med. exp. salud publica, V29, P303
[5]   Social Epidemiology of Hypertension in Middle-Income Countries: Determinants of Prevalence, Diagnosis, Treatment, and Control in the WHO SAGE Study [J].
Basu, Sanjay ;
Millett, Christopher .
HYPERTENSION, 2013, 62 (01) :18-26
[6]   The Latin American Consortium of Studies in Obesity (LASO) [J].
Bautista, L. E. ;
Casas, J. P. ;
Herrera, V. M. ;
Miranda, J. J. ;
Perel, P. ;
Pichardo, R. ;
Gonzalez, A. ;
Sanchez, J. R. ;
Ferreccio, C. ;
Aguilera, X. ;
Silva, E. ;
Orostegui, M. ;
Gomez, L. F. ;
Chirinos, J. A. ;
Medina-Lezama, J. ;
Perez, C. M. ;
Suarez, E. ;
Ortiz, A. P. ;
Rosero, L. ;
Schapochnik, N. ;
Ortiz, Z. ;
Ferrante, D. .
OBESITY REVIEWS, 2009, 10 (03) :364-370
[7]   Low socioeconomic status of a patient's residential area is associated with worse prognosis after acute myocardial infarction in Sweden [J].
Bergstrom, Goran ;
Redfors, Bjorn ;
Angeras, Oskar ;
Dworeck, Christian ;
Shao, Yangzhen ;
Haraldsson, Inger ;
Petursson, Petur ;
Milicic, Davor ;
Wedel, Hans ;
Albertsson, Per ;
Ramunddal, Truls ;
Rosengren, Annika ;
Omerovic, Elmir .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2015, 182 :141-147
[8]   Sex Differences in Risk Factors for Cardiovascular Disease: The PERU MIGRANT Study [J].
Bernabe-Ortiz, Antonio ;
Pastorius Benziger, Catherine ;
Gilman, Robert H. ;
Smeeth, Liam ;
Jaime Miranda, J. .
PLOS ONE, 2012, 7 (04)
[9]   Do the socioeconomic and hypertension gradients in rural populations of low- and middle-income countries differ by geographical region? A systematic review and meta-analysis [J].
Busingye, Doreen ;
Arabshahi, Simin ;
Subasinghe, Asvini K. ;
Evans, Roger G. ;
Riddell, Michaela A. ;
Thrift, Amanda G. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2014, 43 (05) :1563-1577
[10]   Review Article: Training Programs Within Global Networks: Lessons Learned in the Fogarty International Clinical Research Scholars and Fellows Program [J].
Carothers, Catherine L. ;
Heimburger, Douglas C. ;
Schlachter, Sarah ;
Gardner, Pierce ;
Primack, Aron ;
Warner, Tokesha L. ;
Vermund, Sten H. .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2014, 90 (01) :173-179