Resumo
Introdução: a Organização Mundial de Saúde desenvolveu um instrumento para a vigilância dos fatores de risco associados com as doenças crônicas, que abrange três etapas que incluem dados pessoais e comportamentais, antropométricos e bioquímicos. Objetivo: descrever as aplicações do Instrumento STEPS (etapa 1) para a identificação de fatores de risco comportamentais associados a doenças não transmissíveis em adultos trabalhadores, por país e ano de publicação. Metodologia: revisão narrativa de estudos originais que utilizaram o STEPS, publicados entre 2015 e 2019 em espanhol, inglês e português nas bases de dados PubMed, SciELO e o motor de busca Google Scholar. Resultados: foram revistos 20 documentos dos quais 6 eram da Ásia e África, e o ano de maior publicação foi 2017. O consumo nocivo de álcool, tabagismo, inactividade física e alimentação não saudável são os riscos mais estudados. Conclusões: a utilização do instrumento STEPS em publicações é mais frequente em países da África e da Ásia. É necessário que a sua aplicação seja sistemática e difundida noutros países, com a finalidade de conceber e implementar estratégias de saúde pública para a prevenção, mitigação e tratamento atempado das doenças não transmissíveis.
Referências
GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet. 2016; 388(10053): 1659–1724. doi: https://doi.org/10.1016/S0140-6736(16)31679-8
Pega F, Náfrádi B, Momen NC, Ujita Y, Streicher KN, Prüss-Üstün AM, et al. Global, regional, and national burdens of ischemic heart disease and stroke attributable to exposure to long working hours for 194 countries, 2000–2016. Environ Int. 2021; 154(21): 110-160. doi: https://doi.org/10.1016/j.envint.2021.106595
Organización Panamericana de la Salud [Internet]. Washington D.C: Organización Mundial de la Salud; c2022. Situación de la salud de los trabajadores. 2017. Disponible en: https://www.paho.org/saluden-las-americas-2017/?post_t_es=situacion-de-lasalud-de-los-trabajadores
World Health Organization. Global action plan for the prevention and control of noncommunicable diseases 2013-2020. Geneva: WHO; 2013. 55 p. Disponible en: https://www.who.int/publications/i/item/9789241506236
United Nations Department of Economic and Social Affairs Sustainable Development. New York: UN; c2022. Transforming our world: the 2030 Agenda for Sustainable Development. Disponible en: https://sustainabledevelopment.un.org/post2015/transformingourworld
Riley L, Guthold R, Cowan M, Savin S, Bhatti L, Armstrong T, et al. The World Health Organization STEPwise approach to noncommunicable disease risk-factor surveillance: Methods, challenges, and opportunities. Am J Public Health. 2016; 106(1): 74-78. doi: 10.2105/AJPH.2015.302962
Echemendía Tocabens B. Definiciones acerca del riesgo y sus implicaciones. Rev Cubana Hig Epidemiol. 2011; 49(3): 470–481.
World Health Organization. 2008-2013 Action plan for the global strategy for the prevention and control of noncommunicable diseases. Geneva: WHO; 2019. 48 p. Disponible en: http://apps.who.int/iris/bitstream/handle/10665/44009/9789241597418_eng.pdf?sequence=1
World Health Organization. WHO global report on trends in prevalence of tobacco use 2000-2025, third edition. Geneva: WHO; 2020. 121 p. Disponible en: https://www.who.int/publications/i/item/whoglobal-report-on-trends-in-prevalence-of-tobaccouse-2000-2025-third-edition
Organización Panamericana de la Salud. Informe sobre la situación del alcohol y la salud en la Región de las Américas 2020. Washington, D.C: OPS; 2020. Disponible en: https://iris.paho.org/handle/10665.2/53579
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 populationbased surveys with 1·6 million participants. Lancet Child Adolesc Health. 2020; 4(1): 23–35. doi: https://doi.org/10.1016/S2352-4642(19)30323-2
Organización Mundial de la Salud [Internet]. Washington D.C: OMS; c2022. Obesidad y Sobrepeso. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/obesity-andoverweight
Organización Mundial de la Salud. Manual de vigilancia STEPS de la OMS: el método STEPwise de la OMS para la vigilancia de los factores de riesgo de las enfermedades crónicas. Ginebra: OMS; 2006. Disponible en: https://apps.who.int/iris/handle/10665/43580
World Health Organization [Internet]. New York: WHO; c2022. STEPwise approach to surveillance (STEPS). Disponible en: https://www.who.int/ncds/surveillance/steps/en/
Armstrong T, Bonita R. Capacity building for an integrated noncommunicable disease risk factor surveillance system in developing countries. Ethn Dis. 2003; 13(2): 13-18.
Rodriguez V. Conociendo sobre revisiones sistemáticas. Rev Arch Col Med. 2008; 1(2): 64-68.
Bhattacherjee S, Datta S, Roy JK, Chakraborty M. A cross-sectional assessment of risk factors of noncommunicable diseases in a Sub-Himalayan region of West Bengal, India using who steps approach. J Assoc Physicians India. 2015; 63(12): 34-40. doi: https://goo.su/U4uL1
Jingi AM, Noubiap JJN. Cardiovascular risk factors awareness and prevalence among primary care physicians: an insight from the West region Awareness Initiative Survey to fight cardiovascular disease (WAIT-CVD) in Cameroon. BMC Res. Notes. 2015; 8(1): 7-62. doi: 10.1186/s13104-015-1747-y
Oluyombo R, Olamoyegun MA, Olaifa O, Iwuala SO, Babatunde OA. Cardiovascular risk factors in semi-urban communities in southwest Nigeria: Patterns and prevalence. J Epidemiol Glob Health. 2015; 5(2): 167-174. doi: 10.1016/j.jegh.2014.07.002
Bjertness MB, Htet AS, Meyer HE, Htike MMT, Zaw KK, Oo WM, et al. Prevalence and determinants of hypertension in Myanmar - a nationwide crosssectional study. BMC Public Health. 2016; 16(4): 500-590. doi: 10.1186/s12889-016-3275-7
Pelzom D, Isaakidis P, Oo MM, Gurung MS, Yangchen P. Alarming prevalence and clustering of modifiable noncommunicable disease risk factors among adults in Bhutan: a nationwide crosssectional community survey. BMC Public Health. 2017; 17(1): 975. doi: doi.org/10.1186/s12889-017-4989-x
Tripathy JP, Thakur JS, Jeet G, Chawla S, Jain S. Alarmingly high prevalence of hypertension and pre-hypertension in North India-results from a large cross-sectional STEPS survey. PLoS One. 2017; 12(2): 1-17. doi: 10.1371/journal.pone.0188619
Houehanou YC, Mizéhoun-Adissoda C, Amidou S, Désormais I, Houénassi M, Preux P-M, et al. Feasibility of a cardiovascular cohort in a SubSaharan Africa community: preliminary report of the pilot project TAHES (Tanvé Health Study) in Benin. Glob Health Action. 2017; 10(1): 127-528. doi: 10.1080/16549716.2017.1270528
Demisse AG, Greffie ES, Abebe SM, Bulti AB, Alemu S, Abebe B, et al. High burden of hypertension across the age groups among residents of Gondar city in Ethiopia: a population based cross sectional study. BMC Public Health. 2017; 17(1): 1-647. doi: https://doi.org/10.1186/s12889-017-4646-4
Tripathy JP, Thakur JS, Jeet G, Jain S. Prevalence and determinants of comorbid diabetes and hypertension: Evidence from non communicable disease risk factor STEPS survey, India. Diabetes Metab. Syndr. 2017; 11(Suppl 1): S459-S65. doi: https://doi.org/10.1016/j.dsx.2017.03.036
Arugu GM, Maduka O. Risk factors for diabetes mellitus among adult residents of a rural District in Southern Nigeria: Implications for prevention and control. Niger J Clin Pract. 2017; 20(12): 15-44. doi: 10.4103/njcp.njcp_154_17
Gudjinu HY, Sarfo B. Risk factors for type 2 diabetes mellitus among out-patients in Ho, the Volta regional capital of Ghana: a case–control study. BMC Res Notes. 2017; 2(3): 1-10. doi: https://doi.org/10.1186/s13104-017-2648-z
Karim MN, Zaman MM, Rahman MM, Chowdhury MAJ, Ahsan HAMN, Hassan MM, et al. Sociodemographic determinants of low fruit and vegetable consumption among Bangladeshi adults: Results from WHO-STEPS survey 2010. Asia Pac J Public. 2017; 29(3): 189-98. doi: 10.1177/1010539517699059
Gyawali B, Hansen MRH, Povlsen MB, Neupane D, Andersen PK, McLachlan CS, et al. Awareness, prevalence, treatment, and control of type 2 diabetes in a semi-urban area of Nepal: Findings from a cross-sectional study conducted as a part of COBIN-D trial. PLoS One. 2018; 13(11): 1-14. doi: https://doi.org/10.1371/journal.pone.0206491
Amidou SA, Houehanou YC, Houinato SD, Aboyans V, Sonou A, Saka D, et al. Epidemiology of lower extremity artery disease in a rural setting in Benin, West Africa: The TAHES study. Int J Cardiol. 2018; 15(2): 198-201. doi: 10.1016/j.ijcard.2018.05.099
Wekesah FM, Nyanjau L, Kibachio J, Mutua MK, Mohamed SF, Grobbee DE, et al. Individual and household level factors associated with presence of multiple non-communicable disease risk factors in Kenyan adults. BMC Public Health. 2018; 18(3): 1-16. doi: https://doi.org/10.1186/s12889-018-6055-8
Dhungana RR, Thapa P, Devkota S, Banik PC, Gurung Y, Mumu SJ, et al. Prevalence of cardiovascular disease risk factors: A communitybased cross-sectional study in a peri-urban community of Kathmandu, Nepal. Indian Heart J. 2018; 1(7): 1-7. doi: 10.1016/j.ihj.2018.03.003
Karmacharya BM, Fitzpatrick AL, Koju R, Sotodehnia N, Xu DR, Pradhan PMS, et al. Quit intentions and attempts among smokers in suburban Nepal: Findings from the Dhulikhel heart study. Kathmandu Univ Med J. 2018; 16(61): 83-88.
Ngaruiya C, Abubakar H, Kiptui D, Kendagor A, Ntakuka MW, Nyakundi P, et al. Tobacco use and its determinants in the 2015 Kenya WHO STEPS survey. BMC Public Health 2018; 18(3): 1223. doi: https://doi.org/10.1186/s12889-018-6058-5
Ramaswamy G, Chinnakali P, Selvaraju S, Nair D, Thekkur P, Selvaraj K, et al. High prevalence of prediabetes among the family members of individuals with diabetes. Findings from targeted screening program from south India. Diabetes Metab Syndr 2019; 13(1): 66-72. doi: https://doi.org/10.1016/j.dsx.2018.12.001
Pengpid S, Vonglokham M, Kounnavong S, Sychareun V, Peltzer K. The prevalence, awareness, treatment, and control of hypertension among adults: the first cross-sectional national populationbased survey in Laos. Vasc Health Risk Manag. 2019; 27(15): 27-33. doi: 10.2147/VHRM.S199178
World Health Organization [Internet]. Geneva: WHO; c2022. NCD Global Monitoring Framework. Disponible en: https://www.who.int/publications/i/item/ncd-surveillance-global-monitoringframework
Organización Mundial de la Salud. Informe sobre el seguimiento de los progresos en relación con las enfermedades no transmisibles, 2017 [Noncommunicable Diseases Progress Monitor, 2017]. Ginebra: OMS; 2017. 234 p. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/259806/9789243513027-spa.pdf?sequence=1
Delpierre C, Kelly M, Munch M, Lauwers V, Datta GD, Lepage B, et al. SRH and HrQOL: does social position impact differently on their link with health status? BMC Public Health. 2012; 12(1): 1-19. doi: https://doi.org/10.1186/1471-2458-12-19
Rangel Caballero LG, Gamboa Delgado EM, Murillo López AL. Prevalencia de factores de riesgo comportamentales modificables asociados a enfermedades no transmisibles en estudiantes universitarios latinoamericanos: una revisión sistemática. Nutr Hosp. [Internet]. 2017; 34(5): 1185-1197.
Organización Mundial de la Salud. Salud para los adolescentes del mundo: Una segunda oportunidad en la segunda década. Ginebra: OMS; 2014. 20 p. Disponible en: https://apps.who.int/iris/handle/10665/141455
Artazcoz L, Cortés I, Borrell C, Escribà-Agüir V, Cascant L. Social inequalities in the association between partner/marital status and health among workers in Spain. Soc Sci Med. 2011; 72: 600-607. doi: https://doi.org/10.1016/j.socscimed.2010.11.035
Jara V, Riquelme N. Estilo de vida promotor de la salud y factores de riesgo en estudiantes universitarios. Rev Aladefe. 2018; 8(2): 1-15.
World Health Organization. Global status report on noncommunicable diseases. Geneva: WHO; 2014. 302 p. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/148114/9789241564854_eng.pdf
Organización Panamericana de la Salud. Situación de Salud en las Américas: Indicadores Básicos. Washington D.C: OPS; 2016. 20 p. Disponible en: https://iris.paho.org/handle/10665.2/31288
Fagalde HM, Solar H, Guerrero B, Atalah S. Factores de riesgo de enfermedades crónicas no transmisibles en funcionarios de una empresa de servicios financieros de la Región Metropolitana. Rev Med Chile. 2005; 133(8): 19-28.
Cerecero P, Hernández B, Aguirre D, Valdés R, Huitrón G. Estilos de vida asociados al riesgo cardiovascular global en trabajadores universitarios del Estado de México. Salud Publ Mex. 2009; 51(6): 65-73.
Salinas J, Lera L, González CG, Villalobos E, Vio F. Estilos de vida, alimentación y estado nutricional en trabajadores de la construcción de la Región Metropolitana de Chile. Rev Med Chile. 2014; 142(7): 33-40. doi: http://dx.doi.org/10.4067/S0034-98872014000700003
Portillo R, Bellorín M, Sirit Y, Acero C. Perfil de salud de los trabajadores de una planta procesadora de olefinas del estado Zulia, Venezuela. Rev Salud Pública [Internet] 2008; 10(1): 113-125.
Snehalatha C, Ramachandran A, Satyavani K, Sivasankari S, Vijay V. Clustering of cardiovascular risk factors in impaired fasting glucose and impaired glucose tolerance. Diabet Med. 2003; 23(6): 1-4.
Barreto SM, Passos VM, Firmo JO, Guerra HL, Vidigal PG, Lima-Costa MF. Hypertension and clustering of cardiovascular risk factors in a community in Southeast Brazil-The Bambuí health and ageing study. Arq Bras Cardiol. 2001; 77(6): 76-81. doi: https://doi.org/10.1590/S0066-782X2001001200008
Zaman MM, Bhuiyan MR, Karim MN, Moniruz ZN, Rahman MM, Akanda AW, et al. Clustering of noncommunicable diseases risk factors in Bangladeshi adults: An analysis of STEPS survey 2013. BMC Public Health. 2015; 14(15): 6-59. doi: https://doi.org/10.1186/s12889-015-1938-4
Organización Mundial de la Salud. Ginebra: OMS; c2022. El consumo nocivo de alcohol mata a más de 3 millones de personas al año, en su mayoría hombres. Disponible en: https://www.who.int/es/news/item/21-09-2018-harmful-use-of-alcoholkills-more-than-3-million-people-each-year--mostof-them-men
Kubo K. Myanmar’s two decades of partial transition to a market economy: a negative legacy for the new government. Post-Communist Econ. 2013; 25(3): 357-370. doi: https://doi.org/10.1080/14631377.2013.813141
World Health Organization. Global status report on alcohol and health. Geneva: WHO; 2014. 392 p. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/112736/9789240692763_eng.pdf?sequence=1
Organización Panamericana de la Salud [Internet]; 2010. Protejamos a las mujeres de la promoción del tabaco y de la exposición al humo de tabaco ajeno. Disponible en: https://www3.paho.org/hq/index.php?option=com_content&view=article&id=1310:2009-world-no-tobacco-day2010&Itemid=0&lang=es#gsc.tab=0
Dhungana RR, Devkota S, Khanal MK, Gurung Y, Giri RK, Parajuli RK, et al. Prevalence of cardiovascular health risk behaviors in a remote rural community of Sindhuli district, Nepal. BMC Cardiovascular Disorders. 2014; 14: 92. doi: https://doi.org/10.1186/1471-2261-14-92
Sánchez MA, Román J, Calvo E, Gómez T, Fernández A, Sáinz JC, et al. Prevalencia de factores de riesgo vascular en la población laboral española. Rev Esp Cardiol. 2006; 59(5): 21-30. doi: 10.1157/13087894
Ratner R, Sabal J, Hernández P, Romero D, Atalah E. Estilos de vida y estado nutricional de trabajadores en empresas públicas y privadas de dos regiones de Chile. Rev Med Chile. 2008; 36(11): 6-14. doi: 10.4067/S0034-98872008001100006
Organización Mundial de la Salud [Internet]. Ginebra: OMS; c2022. Actividad física. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/physical-activity
Molano NJ, Ordoñez MY, Molano DX. Cambios antropométricos y asociación del nivel de actividad física en docentes universitarios. Rev Cien Cuid. 2017; 14(2): 38-50. doi: https://doi.org/10.22463/17949831.1109
Fuentes M, Zúñiga F, Rodríguez FJ, Cristi C. Occupational physical activity and body composition in adult women; pilot study. Nutr Hosp. 2013; 28(4): 1-4. doi: 10.3305/nh.2013.28.4.6552
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Copyright (c) 2023 Diana Carolina Silva-Sánchez, Natalia Eugenia Gómez-Rea, Erika Alejandra Giraldo-Gallo, Gino Montenegro-Martínez