Anthropometric indicators of adiposity as predictors of systemic arterial hypertension in older people

a cross-sectional analysis

Autores/as

Palabras clave:

Adipose tissue, Aging, Blood pressure, Epidemiology

Resumen

Objective
To analyze the association of anthropometric indicators of adiposity in older people, according to sex, with hypertension; to compare the scores of these variables between participants with and without hypertension; and to identify among them those with better predictive ability for screening the outcome.
Methods
Epidemiological, population-based, cross-sectional study conducted with 210 older people. The anthropometric indicators analyzed were: body mass index, waist circumference, abdominal circumference, body adiposity index, triceps skinfold, waist-to-hip ratio, waist-to-height ratio, and conicity index. Hypertension diagnosis was self-reported.
Results
The indicators of adiposity increased the probability of hypertension. Additionally, hypertensive older people of both sexes showed higher scores on adiposity indicators than non-hypertensive subjects (p < 0.05). For men, the most sensitive indicator for the outcome was conicity index (81.82%; cut-off point: 1.30) and the most specific was body mass index (69.77%; cut-off point: 25.05 kg/m2). For women, the most sensitive indicator for the outcome was the body adiposity index (86.08%; cut-off point: 31.03%), and the most specific was the abdominal circumference (82.82%; cut-off point: 98.70 cm).

Conclusion
In both sexes, the indicators of adiposity were positively associated with hypertension; hypertensive participants showed higher values in the scores of the indicators. Additionally, the body adiposity index (women) and conicity index (men) demonstrated greater ability to screen for hypertension, while the abdominal circumference and body mass index demonstrated greater ability to screen for non-hypertensive women and men, respectively.

Citas

Uchmanowicz I, Markiewicz K, Uchmanowicz B, Kołtuniuk A, Rosińczuk J. The relationship between sleep disturbances and quality of life in elderly patients with hypertension. Clin Interv Aging. 2019;14:155-65. https://doi.org/10.2147/CIA.S188499

Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224-60. https://doi.org/10.1016/S0140-6736(12)61766-8

Sarki AM, Nduka CU, Stranges S, Kandala N-B, Uthman OA. Prevalence of hypertension in low- and middle-income countries: a systematic review and meta-analysis. Medicine (Baltimore). 2015;94(50):e1959. https://doi.org/10.1097/MD.0000000000001959.

Ministério da Saúde (Brasil). VIGITEL 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 Doenças Crônicas [Internet]. Brasília: Ministério; 2022 [cited 2021 July 2021]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf

Barroso WKS, Rodrigues CIS, Bortolotto LA, Mota-Gomes MA, Brandão AA, Feitosa ADM, et al. Diretrizes Brasileiras de Hipertensão Arterial-2020 Arq Bras Cardiol. 2021;116(3):516-58. https://doi.org/10.36660/abc.20201238

Ministério da Saúde (Brasil). Estratégias para o cuidado da pessoa com doença crônica: hipertensão arterial sistêmica [Internet]. Brasília: Ministério; 2013 [cited 2021 July 2021]. Available from: https://aps.saude.gov.br/biblioteca/visualizar/MTIxNA==

Nobre F, Mion Jr. D, Gomes MAM, Barbosa ECD, Rodrigues CIS, Neves MFT, et al. 6a Diretrizes de Monitorização Ambulatorial da Pressão Arterial e 4a Diretrizes de Monitorização Residencial da Pressão Arterial. Arq Bras Cardiol. 2018 [cited 2021 July 2021];110(5 Suppl 1):1-29. Available from: http://publicacoes.cardiol.br/2014/diretrizes/2018/01_diretriz-mapa-e-mrpa.pdf

Simmons SS, Jr. JEH, Schack T. The Influence of Anthropometric Indices and Intermediary Determinants of Hypertension in Bangladesh. Int J Environ Res Public Health. 2021;18(11):5646. https://doi.org/10.3390/ijerph18115646

Xiao L, Le C, Wang G-Y, Fan L-M, Cui W-L, Liu Y-N, et al. Socioeconomic and lifestyle determinants of the prevalence of hypertension among elderly individuals in rural southwest China: a structural equation modelling approach. BMC Cardiovasc Disord. 2021;21(1):64. https://doi.org/10.1186/s12872-021-01885-y

Santos R, Barbosa RS, Lozado YA, Caires SS, Santos L. Sobrepeso, obesidade e hipertensão arterial sistêmica em idosos: uma Revisão de Literatura. Textura. 2020;14(1):143-52. https://doi.org/10.22479/texturav14n1p143-152

Diniz KO, Rocha SV, Oliveira ACC. Anthropometric indicators of obesity such as predictors of high blood pressure in the elderly. Rev Bras Cineantropometria Desempenho Hum. 2017;19(1):31-9. https://doi.org/10.5007/1980-0037.2017v19n1p31

Leal Neto JS, Coqueiro RS, Freitas RS, Fernandes MH, Oliveira DS, Barbosa AR. Anthropometric indicators of obesity as screening tools for high blood pressure in the elderly. Int J Nurs Pract. 2013;19(4):360-7. https://doi.org/10.1111/ijn.12085

WHO Expert Committee. Physical status: the use of and interpretation of anthropometry, report of a WHO expert committee [Internet]. Geneve: Organization; 1995 [cited 2021 July 2021]. Available from: https://apps.who.int/iris/handle/10665/37003

Hsieh S, Yoshinaga H. Waist/height ratio as a simple and useful predictor of coronary heart disease risk factors in women. Intern Med. 1995;34(12):1147-52. https://doi.org/10.2169/internalmedicine.34.1147

Valdez R. A simple model-based index of abdominal adiposity. J Clin Epidemiol. 1991;44(9):955-6. https://doi.org/10.1016/0895-4356(91)90059-i

Associação Brasileira para Estudo da Obesidade e Síndrome Metabólica. Diretrizes Brasileiras de Obesidade 2016 4th ed. São Paulo: Associação; 2016 [cited 2021 July 2021]. Avaliable from: https://abeso.org.br/wp-content/uploads/2019/12/Diretrizes-Download-Diretrizes-Brasileiras-de-Obesidade-2016.pdf

Lohman T. Anthropometric standardization reference manual. Champaign IL: Human Kinetics Books; 1988.

Bergman RN, Stefanovski D, Buchanan TA, Sumner AE, Reynolds JC, Sebring NG, et al. A better index of body adiposity. Obesity. 2011;19(5):1083-89. https://doi.org/10.1038/oby.2011.38

Casotti CA, Almeida CB, Santos L, Valença Neto PF, Carmo TB. Condições de saúde e estilo de vida de idosos: métodos e desenvolvimento do estudo. Prat Cuid Rev Saude Col. 2021;2:e12643.

Melo DM, Barbosa AJG. O uso do Mini-Exame do Estado Mental em pesquisas com idosos no Brasil: uma revisão sistemática. Cien Saude Colet. 2015;20(12):3865-76. https://doi.org/10.1590/1413- 812320152012.06032015

Alves CSS, Santos L, Valença Neto PF, Almeida CB, Caires SS, Casotti CA. Indicadores antropométricos de obesidade em idosos: dados do estudo base. RBONE. 2021;15(93):270-280.

Frisancho A. New standards of weight and body composition by frame size and height for assessment of nutritional status of adults and the elderly. Am J Clin Nutr. 1984;40(4):8008-19. https://doi.org/10.1093/ajcn/40.4.808

Craig CL, Marshall Al, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381-95. https://doi.org/10.1249/01.MSS.0000078924.61453.fb

Benedetti TB, Mazo GZ, Barros MVG. Aplicação do questionário internacional de atividades físicas para avaliação do nível de atividades física de mulheres idosas: validade concorrente e reprodutibilidade teste-reteste. Rev Bras Cien Movimento. 2004;12(1):25-34. https://doi.org/10.18511/rbcm.v12i1.538

Benedetti TRB, Antunes PC, Rodriguez-Añez CR, Mazo GZ, Petroski EL. Reprodutibilidade e validade do Questionário Internacional de Atividade Física (IPAQ) em homens idosos. Rev Bras Med Esporte. 2007;13(1):11-6. https://doi.org/10.1590/S1517-86922007000100004

Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J of Sports Med. 2020;54(24):1451-62.

Santos L, Silva RR, Santana PS, Valença Neto PF, Almeida CB, Casotti CA. Factors associated with dynapenia in older adults in the Northeast of Brazil. J Phys Educ. 2022;33(1):e-3342. https://doi.org/10.4025/jphyseduc.v33i1.3342

Delong, ER, Delong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837-45.

Borges L. Medidas de acurácia diagnóstica na pesquisa cardiovascular. Int J Cardiovasc Sci. 2016;29(3):218- 22.

Schulzer M. Diagnostic tests: a statistical review. Muscle Nerve. 1994;17(7):815-9. https://doi.org/10.1002/mus.880170719

Cohen J. Hypertension in Obesity and the Impact of Weight Loss. Curr Cardiol Rep. 2017;19(10):98. https://doi.org/10.1007/s11886-017-0912-4

Mendoza M, Kachur S, Lavie C. Hypertension in obesity. Curr Opin Cardiol. 2020;35(4):389-96. https://doi.org/10.1097/HCO.0000000000000749

Koliaki C, Liatis S, Kokkinos A. Obesity and cardiovascular disease: revisiting an old relationship. Metabolism. 2019;92:98-107. https://doi.org/10.1016/j.metabol.2018.10.011

Seravalle G, Grassi G. Obesity and hypertension. Pharmacol Res. 2017;122:1-7. https://doi.org/10.1016/j.phrs.2017.05.013

López M, Tena-Sempere M. Estradiol effects on hypothalamic AMPK and BAT thermogenesis: a gateway for obesity treatment? Pharmacol Ther. 2017;178:109-22. https://doi.org/10.1016/j.pharmthera.2017.03.014

Xu Y, López M. Central regulation of energy metabolism by estrogens. Mol Metab. 2018;15:104-15. https://doi.org/10.1016/j.molmet.2018.05.012

Palmeira NC, Moro JP, Getulino FA, Vieira YP, Soares Junior AO, Saes MO. Análise do acesso a serviços de saúde no Brasil segundo perfil sociodemográfico: Pesquisa Nacional de Saúde, 2019. Epidemiol Serv Saude. 2020;31(3):e2022966. https://doi.org/10.1590/S2237-96222022000300013

Publicado

2023-11-21

Cómo citar

SANTOS, L. dos, PEDREIRA, R. B. S., SILVA, R. R., BARBOSA, R. dos S., NETO, P. da F. V., & CASOTTI, C. A. (2023). Anthropometric indicators of adiposity as predictors of systemic arterial hypertension in older people: a cross-sectional analysis. Revista De Nutrição, 36. Recuperado a partir de https://seer.sis.puc-campinas.edu.br/nutricao/article/view/10456

Número

Sección

ARTIGOS ORIGINAIS