Keywords
Diabetes Mellitus; Obesity; Risk Factors; Social Vulnerability; Health Policy
Palavras-chave
Diabetes Mellitus; Obesidade; Fatores de Risco; Vulnerabilidade Social; Políticas Públicas
Keywords
Diabetes Mellitus; Obesity; Risk Factors; Social Vulnerability; Health Policy
Palavras-chave
Diabetes Mellitus; Obesidade; Fatores de Risco; Vulnerabilidade Social; Políticas Públicas
Over 35 years ago, Brazilian citizens earned their constitutional right to health.1 Guided by the fundamental principles of universality and equity, health access and actions provided by the Brazilian Unified Health System (Sistema Único de Saúde – SUS) are ever-since responsibilities of the State and should be, therefore, guaranteed by economic and social policies.
Since its creation, SUS has experienced significant improvements in disease prevention and health promotion.2 A dramatic drop in infant mortality and a significant increase in life expectancy are a couple of major outcomes that reflect the expansion in Brazilians’ population access to comprehensive health care. However, disparities across geographical regions and income groups persist, especially for vulnerable populations such as the quilombolas.
Quilombolas are predominantly black people who live mostly in rural communities formed by descendants of enslaved Africans who define themselves based on strong bonds with land, kinship, territory, and ancestry and with specific traditions and cultural practices.3 Although their existence and rights were recognized in 1988 by the Brazilian Constitution, it was only in 2022 that the Brazilian Census investigated the quilombola population.4 Information about its demographic, geographic, and socioeconomic characteristics were obtained for the first time, a fundamental practice to reduce their invisibility and to guide the construction of public policies that meet their specific needs. However, and not surprisingly, there is still a scarcity of studies regarding the quilombolas’ health status.
Aiming to deepen our knowledge upon this issue, Santana et al.5 conducted a study to describe the prevalence of "diabesity" and its association with risk factors either in isolation or in combination. Diabesity is a phenotype constituted by the coexistence of obesity and type 2 diabetes mellitus,6 two modern epidemics that show no signs of decreasing their prevalence in the near future and that are major contributors to cardiovascular disease, the leading cause of death worldwide.7 Over 300 middle-aged and older adults (53% female, mean age of 61 years) from the microregion of Guanambi, Bahia, were interviewed regarding tobacco and/or alcohol consumption, diet, levels of physical activity, previous diagnosis of diabetes, and had their waist circumference measured to define the presence of obesity. From the total of 320 quilombolas included, 18% had diabesity, and, interestingly, no association was found between each lifestyle-related risk factor and the presence of diabesity when adjusted for sex, age, educational level, marital status, and occupation. However, the prevalence observed of each of the risk factors called to attention. When compared to the latest national results in individuals with a similar age range (55 to 64 years old) obtained from VIGITEL, a telephone survey concerning chronic diseases and risk factors in Brazil,8 the quilombola community studied by Santana et al.5 had a higher prevalence of tobacco (48% vs. 10%), alcohol (26% vs. 11%) and fruits and vegetables (58% vs. 37%) consumption. On the other hand, the quilombolas had a lower prevalence of physical inactivity (24% vs. 49%). Moreover, prevalence according to sex was different between the quilombolas studied and the results presented in VIGITEL. Within the middle-aged and older quilombolas, men had higher consumption of tobacco (67% vs. 27%, p<0.01) and alcohol (44% vs. 8%, p<0.01) compared to women, but similar consumption of fruits and vegetables (56% vs. 62%, respectively, p=0.26), and similar rates of physical inactivity (20% vs. 18%, respectively, p=0.59). In turn, nationally, men and women aged 55 to 64 years old had similar prevalence of tobacco consumption (10%), alcoholic beverages were consumed by a percentage twice as high of men than women (16% vs. 8%), and a higher rate of women were physically inactive (54% vs. 43%). It should be highlighted, however, that the criteria used to define tobacco, alcohol, and fruit and vegetable consumption differed slightly between these studies and, therefore, this direct comparison should be viewed with caution. Finally, and although, to the best of my knowledge, no data is available regarding the prevalence of the simultaneous occurrence of type 2 diabetes and obesity in Brazil, 22% of the Brazilian population aged 55 to 64 years old (23% men and 22% women) self-declared having had a previous diagnosis of diabetes, and 26% (24% men and 28% women) reported being obese.8 As it is estimated that around 50% of type 2 diabetes burden is attributable to obesity,9 one may speculate that the prevalence of diabesity observed in the quilombolas might be higher than nationwide.
As much of the mechanism for cardiovascular and other chronic disease prevention is through the modification of risk factors,10 knowing its prevalence and further tracking its progress is essential to give insights into where efforts provided by public policies are working or are currently insufficient and need to be reviewed. Therefore, by providing health information about lifestyle-related risk factors and the prevalence of diabesity in middle-aged and older quilombolas, the study conducted by Santana et al.5 helps us better understand the health needs of this vulnerable population and take a step towards an ongoing challenge to reduce health disparities and achieve health equity.
References
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1 Paim J, Travassos C, Almeida C, Bahia L, Macinko J. The Brazilian Health System: History, Advances, and Challenges. Lancet. 2011;377(9779):1778-97. doi: 10.1016/S0140-6736(11)60054-8.
» https://doi.org/10.1016/S0140-6736(11)60054-8 -
2 Ortega F, Pele A. Brazil's Unified Health System: 35 Years and Future Challenges. Lancet Reg Health Am. 2023;28:100631. doi: 10.1016/j.lana.2023.100631.
» https://doi.org/10.1016/j.lana.2023.100631 -
3 Mota NA, Maciel ES, Quaresma FRP, Araújo FA, Sousa LVA, Macedo H Jr, et al. A Look at Vulnerability: Analysis of the Lack of Access to Health Care for Quilombolas in Brazil. J Hum Growth Dev. 2021;31(2):302-9. doi: 10.36311/jhgd.v31.11404.
» https://doi.org/10.36311/jhgd.v31.11404 - 4 Instituto Brasileiro de Geografia e Estatística. Censo demográfico 2022: Quilombolas -Primeiros Resultados do Universo. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística; 2024.
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5 Santana PP, Santos CA, Mussi RFF, Munaro HLR, Rocha SV. Cluster of Physical Inactivity and Other Risk Factors and Diabesity in Quilombol Adults. Arq Bras Cardiol. 2024; 121(11):e20230715. doi: https://doi.org/10.36660/abc.20230715
» https://doi.org/10.36660/abc.20230715 -
6 Michaelidou M, Pappachan JM, Jeeyavudeen MS. Management of Diabesity: Current Concepts. World J Diabetes. 2023;14(4):396-411. doi: 10.4239/wjd.v14.i4.396.
» https://doi.org/10.4239/wjd.v14.i4.396 -
7 Oliveira GMM, Brant LCC, Polanczyk CA, Malta DC, Biolo A, Nascimento BR, et al. Cardiovascular Statistics - Brazil 2023. Arq Bras Cardiol. 2024;121(2):e20240079. doi: 10.36660/abc.20240079.
» https://doi.org/10.36660/abc.20240079 - 8 Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Departamento de Análise Epidemiológica e Vigilância de Doenças Não Transmissíveis. Vigitel Brasil 2023: Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico. Brasília: Ministério da Saúde; 2023.
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9 Flor LS, Campos MR, Oliveira AF, Schramm JM. Diabetes Burden in Brazil: Fraction Attributable to Overweight, Obesity, and Excess Weight. Rev Saude Publica. 2015;49:29. doi: 10.1590/s0034-8910.2015049005571.
» https://doi.org/10.1590/s0034-8910.2015049005571 -
10 GBD 2019 Risk Factors Collaborators. Global Burden of 87 Risk Factors in 204 Countries and Territories, 1990-2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1223-49. doi: 10.1016/S0140-6736(20)30752-2.
» https://doi.org/10.1016/S0140-6736(20)30752-2
