Análise do perfil epidemiológico de obesidade nas capitais brasileiras

Eulalia Caldas Fantinel; Victor Mattos Formentin; Kelser De Souza Kock

doi:10.5712/rbmfc20(47)4319

Authors

Eulalia Caldas Fantinel Universidade Sul de Santa Catarina – Tubarão (SC), Brazil. https://orcid.org/0000-0002-4573-8362
Victor Mattos Formentin Universidade Sul de Santa Catarina – Tubarão (SC), Brazil. https://orcid.org/0009-0008-4737-6730
Kelser De Souza Kock Universidade Sul de Santa Catarina – Tubarão (SC), Brazil.

DOI:

https://doi.org/10.5712/rbmfc20(47)4319

Keywords:

Obesity, Risk Factors, Data analysis, Prevalence

Abstract

Introduction: Obesity is a clinical condition characterized by body fat excess with high prevalence in the world and in Brazil. This condition can cause serious health complications, especially when aligned with certain socioeconomic factors. Objective: To identify possible risk factors for obesity such as inadequate eating habits, sedentary lifestyle, and excessive screen use. Methods: This is an observational study of the ecological type. It is a population-based study. Data on individuals aged >18 years, interviewed by the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, were analyzed, conducted in Brazilian capitals and the Federal District between 2011–2021, publicly available. Results: We surveyed the prevalence of obesity in different age groups, sexes, levels of education, and eating habits. We observed an overall increase in the prevalence of obesity between 2011 and 2021, as well as a significant association between obesity and smoking habit, hypertension, diabetes, depressive episodes, and excessive screen use. Conclusions: We verified the factors most associated with the presence of obesity, being the highest incidence among young people, women, people who consume soft drinks, individuals with Systemic Arterial Hypertension and type 2 diabetes mellitus. The groups of people who do not exercise also presented a higher prevalence, but factors — such as body composition and exercise intensity — must be considered.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

World Health Organization. Obesity: preventing and managing the global epidemic: report of a WHO consultation. Geneva: WHO; 2000.

Brasil. Ministério da Saúde. Orientação alimentar de pessoas adultas com obesidade.Brasília: Ministério da Saúde; 2022.

Cooper AJ, Gupta SR, Moustafa AF, Chao AM. Sex/gender differences in obesity prevalence, comorbidities, and treatment.

Curr Obes Rep. 2021;10(4):458-66. https://doi.org/10.1007/s13679-021-00453-x DOI: https://doi.org/10.1007/s13679-021-00453-x

Di Angelantonio E, Bhupathiraju SN, Wormser D, Gao P, Kaptoge S, de Gonzalez AB, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016;388(10046):776- 86. https://doi.org/10.1016/S0140-6736(16)30175-1 DOI: https://doi.org/10.1016/S0140-6736(16)30175-1

Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev. 2012;13(11):1067-79. https://doi.org/10.1111/j.1467-789X.2012.01017.x DOI: https://doi.org/10.1111/j.1467-789X.2012.01017.x

World Health Organization. Draft recommendations for the prevention and management of obesity over the life course, including potential targets [Internet]. 2021 [cited on Mar. 22, 2023]. Available at: https://www.who.int/teams/noncommunicable- diseases/governance/obesityrecommendations

Chong B, Jayabaskaran J, Kong G, Chan YH, Chin YH, Goh R, et al. Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the Global Burden of Disease Study 2019. EClinicalMedicine. 2023;57:101850. https://doi.org/10.1016/j.eclinm.2023.101850 DOI: https://doi.org/10.1016/j.eclinm.2023.101850

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766-81. https://doi.org/10.1016/S0140-6736(14)60460-8 DOI: https://doi.org/10.1016/S0140-6736(14)60767-4

Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: where do we go from here? Science. 2003;299(5608):853- 5. https://doi.org/10.1126/science.1079857 DOI: https://doi.org/10.1126/science.1079857

Apovian CM, Aronne LJ, Bessesen DH, McDonnell ME, Murad MH, Pagotto U, et al. Pharmacological management of obesity: an endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2015;100(2):342-62. https://doi.org/10.1210/ jc.2014-3415 DOI: https://doi.org/10.1210/jc.2014-3415

Colquitt JL, Pickett K, Loveman E, Frampton GK. Surgery for weight loss in adults. Cochrane Database Syst Rev. 2014;2014(8):CD003641. https://doi.org/10.1002/14651858.CD003641.pub4. DOI: https://doi.org/10.1002/14651858.CD003641.pub4

Brasil. Ministério da Saúde. Secretaria de Vigilância. Departamento de Análise em Saúde e Vigilância de Doenças não Transmissíveis. Vigitel Brasil 2021: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doençascrônicas nas capitais dos 26 estados brasileiro e no Distrito Federal em 2021 [Internet]. Brasília: Ministério da Saúde; 2021 [cited on Mar. 22, 2023]. Available at: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/svsa/vigitel/vigitel-brasil-2021- estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatores-de-risco-e-protecao-para-doencas-cronicas/view

Brasil. Ministério da Saúde. Departamento de Análise Epidemiológica e Vigilância de Doenças Não Transmissíveis. Vigitel [Internet]. Brasília: Ministério da Saúde; 2023 [cited on Apr. 09, 2023]. Available at: https://svs.aids.gov.br/download/Vigitel/

Hales CM, Carroll MD, Fryar CD, Ogden CL. Prevalence of obesity among adults and youth: United States, 2015-2016. NCHS Data Brief. 2017;(288):1-8. PMID: 29155689.

Ferreira APS, Szwarcwald CL, Damacena GN. Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2019;22:e190024. https://doi. org/10.1590/1980-549720190024 DOI: https://doi.org/10.1590/1980-549720190024

Sichieri R. Dietary patterns and their associations with obesity in the Brazilian city of Rio de Janeiro. Obes Res. 2002;10(1):42- 8. https://doi.org/10.1038/oby.2002.6 DOI: https://doi.org/10.1038/oby.2002.6

Chaves OC, Velasquez-Melendez G, Costa DAS, Caiaffa WT. Soft drink consumption and body mass index in Brazilian adolescents: National Adolescent Student Health Survey. Rev Bras Epidemiol. 2018;21(suppl 1):e180010. https://doi. org/10.1590/1980-549720180010.supl.1 DOI: https://doi.org/10.1590/1980-549720180010.supl.1

Traversy G, Chaput JP. Alcohol consumption and obesity: an update. Curr Obes Rep. 2015;4(1):122-30. https://doi. org/10.1007/s13679-014-0129-4 DOI: https://doi.org/10.1007/s13679-014-0129-4

Lopes JA, Longo GZ, Peres KG, Boing AF, Arruda MP. Fatores associados à atividade física insuficiente em adultos: estudo de base populacional no sul do Brasil. Rev Bras Epidemiol. 2010;13(4):689-98. https://doi.org/10.1590/S1415- 790X2010000400013 DOI: https://doi.org/10.1590/S1415-790X2010000400013

Vicente-Rodríguez G, Rey-López JP, Martín-Matillas M, Moreno LA, Wärnberg J, Redondo C, et al. Television watching, videogames, and excess of body fat in Spanish adolescents: The AVENA study. Nutrition. 2008;24(7-8):654-62. https://doi. org/10.1016/j.nut.2008.03.011 DOI: https://doi.org/10.1016/j.nut.2008.03.011

Feijão AMM, Gadelha FV, Bezerra AA, Oliveira AM, Silva MSS, Lima JWO. Prevalência de excesso de peso e hipertensão arterial, em população urbana de baixa renda. Arq Bras Cardiol. 2005;84(1). https://doi.org/10.1590/S0066- 782X2005000100007 DOI: https://doi.org/10.1590/S0066-782X2005000100007

Delai M, Hohl A, Marques EL, Pincelli MP, Ronsoni MF, van de Sande-Lee S. Prevalência de sintomas de ansiedade e depressão em pacientes com diferentes graus de obesidade. ACM Arq Catarin Med. 2021;49(4):86-97. DOI: https://doi.org/10.63845/1jh92w31