132
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Behavioral Patterns with the Coexistence of Risk and Protective Factors for Cancer in Brazil

, , , &
Pages 767-774 | Received 09 Dec 2019, Accepted 07 May 2020, Published online: 28 May 2020

References

  • World Health Organization. Noncommunicable diseases country profiles 2018. Geneva: WHO; 2018.
  • Institute for Health Metrics and Evaluation. GBD Compare. Institute for Health Metrics and Evaluation; 2018 [accessed 2019 Oct 11]. https://vizhub.healthdata.org/gbd-compare.
  • International Agency for Research on Cancer. Latest global cancer data: Cancer burden rises to 18.1 million new cases and 9.6 million cancer deaths in 2018. Geneva: IARC; 2018.
  • Instituto Nacional do Câncer José de Alencar Gomes da Silva. Estimativa 2018: incidência de câncer no Brasil. Rio de Janeiro: INCA; 2018.
  • World Cancer Research Fund/American Institute for Cancer Research: Continuous Update Project Expert Report 2018. Recommendations and public health and policy implications. WCRF; 2018 [accessed 2019 Oct 20]. http://dietandcancerreport.org.
  • Cancer Research UK. Why are men more likely to die from cancer? Cancer Research UK; 2018 [accessed 2019 July 28] https://scienceblog.cancerresearchuk.org/2009/06/15/why-are-men-more-likely-to-die-from-cancer.
  • Giovannucci E. Nutritional epidemiology and cancer: A tale of Two Cities. Cancer Causes Control. 2018;29(11):1007–14. doi:10.1007/s10552-018-1088-y
  • Duncan BB, Schmidt MI, Polanczyk CA, Homrich CS, Rosa RS, Achutti AC. Fatores de risco para doenças não-transmissíveis em área metropolitana na região sul do Brasil: prevalência e simultaneidade. Rev Saúde Públ. 1993;27(1):43–48. [Mismatch] doi:10.1590/S0034-89101993000100007
  • Pereira JC, Barreto SM, Passos VMA. Cardiovascular risk profile and health self-evaluation in Brazil: a population-based study. Rev Panam Salud Publ. 2009;25(6):491–498. doi:10.1590/s1020-49892009000600004
  • Shin S, Saito E, Sawada N, Ishihara J, Takachi R, Nanri A, Shimazu T, Yamaji T, Iwasaki M, Sasazuki S. Dietary patterns and prostate cancer risk in Japanese: The Japan Public Health Center-based Prospective Study (JPHC Study). Cancer Causes Control. 2018;29(6):589–600. doi:10.1007/s10552-018-1030-3
  • Steele EM, Claro RM, Monteiro CA. Behavioural patterns of protective and risk factors for non-communicable diseases in Brazil. Public Health Nutr. 2014;17(2):369–375. doi:10.1017/S1368980012005472
  • Ministério da Saúde do Brasil. Vigitel 2018: Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográficas de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2018. Brasília (DC): Ministério da Saúde do Brasil; 2019.
  • World Cancer Research Fund/American Institute for Cancer Research. Diet, Nutrition, Physical Activity and Cancer: A Global Perspective. Continuous Update Project Expert Report 2018. WCRF; 2018 [accessed 2019 June 23] http://dietandcancerreport.org.
  • Kaiser HF. The varimax criterion for analytic rotation in factor analysis. Psychometrika. 1958;23(3):187–200. doi:10.1007/BF02289233
  • Hair JR, Black WC, Babin BJ, Anderson RE, Tatham RL. Análise Fatorial. In: Análise Multivariada de Dados. Porto Alegre: Bookman; 2009. p. 100–48.
  • Pergola F, Silvestris F. Obesity as a major risk factor for cancer. J Obes. 2013;2013:291546–56. doi:10.1155/2013/291546
  • Ruiz RB, Hernández PS. Diet and cancer: Risk factors and epidemiological evidence. Maturitas. 2013;77:202–208.
  • Sasazuki S, Inoue M, Iwasaki M, Sawada N, Shimazu T, Yamaji T, Tsugane S. Combined impact of five lifestyle factors and subsequent risk of cancer: The Japan Public Health Center Study. Prev Med. 2012;54(2):112–116. doi:10.1016/j.ypmed.2011.11.003
  • Akinyemiju T, Moore JX, Pisu M, Lakoski SG, Shikany J, Goodman M, Judd SE. A prospective study of dietary patterns and cancer mortality among Blacks and Whites in the REGARDS cohort. Int J Cancer. 2016;139(10):2221–2231. doi:10.1002/ijc.30287
  • Markussen MS, Veierod MB, Kristiansen AL, Ursin G, Andersen LF. Dietary patterns of women aged 50–69 years and associations with nutrient intake, sociodemographic factors and key risk factors for non-communicable Diseases. Public Health Nutr. 2016;19(11):2024–2032. doi:10.1017/S1368980015003547
  • Atkins D, Clancy C. Multiple risk factors interventions. Are we up to the challenge?. Am J Prev Med. 2004;27(2 Suppl):102–103. doi:10.1016/j.amepre.2004.04.016
  • Centers for Disease Control and Prevention. The State of Aging and Health in America. Atlanta: Centers for Disease Control and Prevention; 2004.
  • Orenstein L, Chetrit A, Dankner R. Healthy lifestyle pattern is protective against 30-Yr cancer incidence in Men and women: A cohort study. Nutr Cancer. 2016;68(3):410. doi:10.1080/01635581.2016.1153673
  • Barreto SM, Passos VM, Giatti L. Healthy behavior among Brazilian young adults. Rev Saúde Pública. 2009;43(suppl 2):9–17. doi:10.1590/S0034-89102009000900003
  • Monteiro CA, Moubarac JC, Cannon G, Ng SW, Popkin B. Ultra-processed products are becoming dominant in the global food system. Obes Rev. 2013;14:21–28. doi:10.1111/obr.12107
  • Claro RM, Maia EG, Costa BVL, Diniz DP. Preço dos alimentos no Brasil: prefira preparações culinárias a alimentos ultraprocessados. Cad Saúde Públ. 2016;32(8):e00104715. [Mismatch] doi:10.1590/0102-311X00104715
  • Nunes BP, Thumé E, Tomasi E, Duro SMS, Facchini LA. Desigualdades socioeconômicas no acesso e qualidade da atenção nos serviços de saúde. Rev Saúde Públ. 2014;48(6):968–976. [Mismatch] doi:10.1590/S0034-8910.2014048005388
  • Ministério da Saúde do Brasil. Plano de ações estratégicas para o enfrentamento das doenças crônicas não transmissíveis (DCNT) no Brasil. Brasília: Ministério da Saúde do Brasil; 2011.
  • Starfield B. Atenção primária: equilíbrio entre necessidades de saúde, serviços e tecnologia. Brasília (DC): UNESCO; 2004.
  • Paim JS. Vigilância da saúde: tendências de reorientação de modelos assistenciais para a promoção da saúde. In Czeresnia D and Freitas CM, editors. Promoção da saúde: conceitos, reflexões, tendências. Rio de Janeiro: Fiocruz; 2009. p. 161–74.
  • Ministério da Saúde do Brasil. Vigitel 2014: Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográficas de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2014. Brasília (DC): Ministério da Saúde do Brasil; 2015.
  • Brener ND, Kann L, Shanklin S, Kinchen S, Eaton DK, Hawkins J, Flint KH, Centers for Disease Control and Prevention (CDC). Methodology of the youth risk behavior surveillance system. MMWR Recomm Rep. 2013;62(1):1–19.
  • Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System - BRFSS. About the BRFSS. CDC; 2015 [accessed 2019 Oct 23]. https://www.cdc.gov/brfss/about/index.htm.
  • Remington PL, Smith MY, Williamson DF, Anda RF, Gentry EM, Hogelin GC. Design, characteristics, and usefulness of state-based behavioral risk factor surveillance: 1981-87. Publ. Health Rep. 1988;103(4):366–375.
  • World Health Organization. Summary: Surveillance of Risk Factors for Noncommunicable Diseases. The WHO STEPwise approach. Geneva: WHO; 2001.
  • Monteiro CA, Moura EC, Jaime PC, Claro RM. Validity of food and beverage intake data obtained by telephone survey. Rev Saude Publ. 2008;42(4):582–589. doi:10.1590/s0034-89102008000400002
  • Mendes LL, Campos SF, Malta DC, Bernal RTI, de Sá NN, Velásquez-Meléndez G. Validity and reliability of foods and beverages intake obtained by telephone survey in Belo Horizonte. Rev Bras Epidemiol. 2011;14(suppl 1):80–89. doi:10.1590/S1415-790X2011000500009
  • Moreira AD, Claro RM, Felisbino-Mendes MS, Velasquez-Melendez G. Validity and reliability of a telephone survey of physical activity in Brazil. Rev Bras Epidemiol. 2017;20(1):136–146. doi:10.1590/1980-5497201700010012
  • Monteiro CA, Florindo AA, Claro RM, Moura EC. Validity of indicators of physical activity and sedentariness obtained by telephone survey. Rev Saude Publ. 2008;42(4):575–581. doi:10.1590/s0034-89102008000400001

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.