Educational inequalities in obesity, abdominal obesity, and metabolic syndrome in seven Latin American cities: the CARMELA Study

被引:41
|
作者
Boissonnet, Carlos [1 ]
Schargrodsky, Herman [2 ]
Pellegrini, Fabio [3 ,4 ]
Macchia, Alejandro [3 ]
Champagne, Beatriz Marcet [5 ]
Wilson, Elinor [6 ]
Tognoni, Gianni [3 ]
机构
[1] Ctr Educ Med & Invest Clin Norberto Quirno, Coronary Care Unit, Buenos Aires, DF, Argentina
[2] Hosp Italiano Buenos Aires, Dept Cardiol, Buenos Aires, DF, Argentina
[3] Consorzio Mario Negri Sud, Dept Clin Pharmacol & Epidemiol, Santa Maria Imbaro, Italy
[4] CSS Sci Inst, Biostat Unit, San Giovanni Rotondo, Italy
[5] InterAmer Heart Fdn, Dallas, TX USA
[6] Assisted Human Reprod Canada, Ottawa, ON, Canada
来源
EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION | 2011年 / 18卷 / 04期
关键词
Obesity; metabolic syndrome; prevalence; developing countries; Latin America; socioeconomic; educational level; inequalities; women; SOCIOECONOMIC-STATUS; RISK; DISEASE;
D O I
10.1177/1741826710389418
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims: Earlier reviews have found that the proportion of inverse associations between socioeconomic status and obesity increased according to the level of development of the studied country. Based on this finding, it has been hypothesized that in low- to middle- income countries the burden of obesity shifts to disadvantaged groups as a country develops. Methods and results: CARMELA is a cross-sectional, population-based observational study that sampled 11,550 women and men age 25-64 from seven major Latin American cities. We analyzed by gender the association of educational attainments (as proxy of socioeconomic status) with body mass index, waist circumference and metabolic syndrome. Participating cities were divided by country Human Development Index (HDI). An inverse gradient between socioeconomic status and body mass index in women was uniformly present in High HDI cities (Buenos Aires, Santiago, Mexico) but not in Medium HDI group (Barquisimeto, Bogota, Lima, Quito), where two cities showed an inverse gradient and two cities did not. In men, no clear socioeconomic gradients were found. Findings regarding waist circumference and metabolic syndrome closely mirrored those about body mass index. Conclusion: In women but not men, these results give support to the hypothesis of obesity shifting to the poor and extend it to the related concepts of abdominal obesity and metabolic syndrome. Obesity should be considered as a socially-generated disease and an indicator of socioeconomic disadvantage, to be approached by comprehensive strategies that bear in mind this perspective.
引用
收藏
页码:550 / 556
页数:7
相关论文
共 50 条
  • [41] Harmonizing the Diagnosis of Metabolic Syndrome-Focusing on Abdominal Obesity
    Silva, Valter
    Stanton, Kenneth R.
    Grande, Antonio Jose
    METABOLIC SYNDROME AND RELATED DISORDERS, 2013, 11 (02) : 102 - 108
  • [42] Prevalence of overweight/obesity, abdominal obesity and metabolic syndrome and atypical cardiometabolic phenotypes in the adult Romanian population: PREDATORR study
    S. Popa
    M. Moţa
    A. Popa
    E. Moţa
    C. Serafinceanu
    C. Guja
    D. Catrinoiu
    N. Hâncu
    R. Lichiardopol
    C. Bala
    A. Popa
    G. Roman
    G. Radulian
    R. Timar
    B. Mihai
    Journal of Endocrinological Investigation, 2016, 39 : 1045 - 1053
  • [43] Abdominal obesity is a modifier of the association between physical activity and metabolic syndrome: a case-control study
    Karamzad, Nahid
    Saghafi-Asl, Maryam
    Asghari-Jafarabadi, Mohammad
    Naghizadeh, Mahsa
    Amiri, Parichehr
    Mehralizadeh, Hossein
    PROGRESS IN NUTRITION, 2019, 21 : 65 - 72
  • [44] Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
    Lee, Min Jin
    Khang, Ah Reum
    Kang, Yang Ho
    Yun, Mi Sook
    Yi, Dongwon
    DIABETES & METABOLISM JOURNAL, 2022, 46 (05) : 756 - 766
  • [45] Abdominal obesity and hypertension are correlated with health-related quality of life in Taiwanese adults with metabolic syndrome
    Chen, Sue-Hsien
    Chen, Shu-Ching
    Lai, Yo-Ping
    Chen, Pin-Hsuan
    Yeh, Kun-Yun
    BMJ OPEN DIABETES RESEARCH & CARE, 2020, 8 (01)
  • [46] Metabolic syndrome in children aged 6 to 12 years with obesity in public schools of seven municipalities in the State of Mexico
    Avila-Curiel, Abelardo
    Galindo-Gomez, Carlos
    Juarez-Martinez, Liliana
    Luis Osorio-Victoria, Mario
    SALUD PUBLICA DE MEXICO, 2018, 60 (04): : 395 - 403
  • [47] The urban built environment and adult BMI, obesity, and diabetes in Latin American cities
    Anza-Ramirez, Cecilia
    Lazo, Mariana
    Zafra-Tanaka, Jessica Hanae
    Avila-Palencia, Ione
    Bilal, Usama
    Hernandez-Vasquez, Akram
    Knoll, Carolyn
    Lopez-Olmedo, Nancy
    Mazariegos, Monica
    Moore, Kari
    Rodriguez, Daniel A.
    Sarmiento, Olga L.
    Stern, Dalia
    Tumas, Natalia
    Miranda, J. Jaime
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [48] Obesity, physical activity and the development of metabolic syndrome: the atherosclerosis risk in communities study
    Cheriyath, Pramil
    Duan, Yinkang
    Qian, Zhengmin
    Nambiar, Lakshmi
    Liao, Daunping
    EUROPEAN JOURNAL OF CARDIOVASCULAR PREVENTION & REHABILITATION, 2010, 17 (03): : 309 - 313
  • [49] Longitudinal relationships of metabolic syndrome and obesity with kidney function: Healthy Twin Study
    Song, Yun-Mi
    Sung, Joohon
    Lee, Kayoung
    CLINICAL AND EXPERIMENTAL NEPHROLOGY, 2015, 19 (05) : 887 - 894
  • [50] Abdominal obesity, metabolic dysfunction, and metabolic syndrome in US adolescents: National Health and Nutrition Examination Survey 2011-2016
    Gaston, Symielle A.
    Tulve, Nicolle S.
    Ferguson, Tekeda F.
    ANNALS OF EPIDEMIOLOGY, 2019, 30 : 30 - 36