Mortality from diabetes mellitus and its impact on life expectancy at 60 years of age in Mexico
DOI:
https://doi.org/10.11606/s1518-8787.20210550032929Keywords:
Elderly, Diabetes Mellitus, mortality, Mortality, trends, Life ExpectancyAbstract
OBJECTIVES To analyze the behavior of mortality from diabetes mellitus (DM) for both sexes in Mexico from 1998 to 2018, and its impact on life expectancy (LE) from 60 to 85 years of age in the three-year periods 1998–2000 and 2016–2018, compared with other causes of death, as well as to determine the loss of years of life expectancy associated with DM in each three-year period. METHODS The current study is observational and descriptive. Age-adjusted rates of mortality from DM were calculated for each sex from 1998 to 2018. Sex-specific life tables were constructed for 1998–2000 and 2016–2018, and both LE between 60 and 85 years, and years of life expectancy lost (YLELL) due to DM and selected causes between both ages were calculated. RESULTS Between 1998 and 2018, the adjusted DM-resulting male mortality rate grew 55% in the population aged 60 and over, while the female mortality rate grew 20%. Between 1998–2000 and 2016–2018, male LE for 60–85 age group decreased 0.22 years, while female LE increased 0.24. In 2016-2018, DM was responsible for 1.30 YLEL among men of 60 to 85 years (19% of the total YLEL), and 1.24 YLEL for women (24% of the total), more than the other causes analyzed. CONCLUSIONS The increase in mortality from DM has substantially contributed both to reduce LE of older adult men, and to slow the increase of LE among women aged 60 years and older so far this century. Thus, preventive policies should be implemented since early ages to reduce the high levels of overweight and obesity in the country and, therefore, the significant population ratio suffering from DM.
References
World Health Organization. Global Health Observatory data repository. Geneva: WHO; 2018 [cited 2020 May 15]. Available from: https://apps.who.int/gho/data/view.main.SDG2016LEXREGv?lang=en [ Links ]
Federación Internacional de Diabetes. Atlas de la Diabetes de la FID. 9. ed. Bruselas (BEL): FID; 2019 [cited 2020 Jan 1]. Available from: https://diabetesatlas.org/es/ [ Links ]
Secretaria de Salud México. Estadísticas vitales. México, DF: SSA; 2019 [cited 2019 Apr 17]. Available from: http://sinaiscap.salud.gob.mx:8080/DGIS/ [ Links ]
Instituto Nacional de Estadística y Geografía. Características de las defunciones registradas en México durante 2017. Aguascalientes (MEX): INEGI; 2019 [cited 2019 Jan 1]. Available from: https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2018/EstSociodemo/DEFUNCIONES2017.pdf [ Links ]
World Health Organization. Global Health Observatory (GHO) data. Life tables [cited 2020 Mar 1]. Available from: https://www.who.int/gho/mortality_burden_disease/life_tables/life_tables/en/ [ Links ]
World Health Organization. Global status report on non-communicable diseases 2014. Geneva: WHO; 2014 [cited 2020 Oct 2]. Available from: http://apps.who.int/iris/bitstream/10665/148114/1/9789241564854_eng.pdf [ Links ]
Kontis V, Mathers CD, Rehm J, Stevens GA, Shield KD, Bonita R, et al. Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target: a modelling study. Lancet. 2014;384(9941):427-37. https://doi.org/10.1016/S0140-6736(14)60616-4 [ Links ]
Dhana K, Nano J, Ligthart S, Peeters A, Hofman A, Nusselder W, et al. Obesity and life expectancy with and without diabetes in adults aged 55 years and older in the Netherlands: a prospective cohort study. PLoS Med. 2016;13(7):e1002086. https://doi:10.1371/journal.pmed.1002086 [ Links ]
Preston SH, Choi D, Elo IT, Stokes A. Effect of diabetes on life expectancy in the United States by race and ethnicity. Biodemography Soc Biol. 2018;64(2):139-51. https://doi.org/10.1080/19485565.2018.1542291 [ Links ]
Walker J, Colhoun H, Livingstone S, McCrimmon R, Petrie J, Sattar N, Wild S. Type 2 diabetes, socioeconomic status and life expectancy in Scotland (2012–2014): a population-based observational study. Diabetologia. 2018;61(1):108-16. https://doi.org/10.1007/s00125-017-4478-x [ Links ]
Dávila-Cervantes CA, Pardo AM. Diabetes mellitus: aporte al cambio en esperanza de vida en México 1990, 2000 y 2010. Rev Salud Publica. 2014;16(6):910-23. https://doi.org/10.15446/rsap.v16n6.40521 [ Links ]
Dirección General de Información en Salud. Cubos Dinámicos. Base de datos de defunciones 1998-2018 INEGI/SS. México: Sistema Nacional de Información en Salud. 2020 [cited 2020 Jun 15]. Available from: http://pwidgis03.salud.gob.mx/cubos/defunciones/seed_98_2018_hist.htm [ Links ]
Consejo Nacional de Población (MEX). Proyecciones de la Población de México y de las Entidades Federativas, 2016-2050 y Conciliación Demográfica de México, 1950 -2015. México, DF: CONAPO; 2018 [cited 2020 May 20]. Available from: https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-las-entidades-federativas-2016-2050 [ Links ]
National Cancer Institute, Division of Cancer Control & Population Sciences, Statistical Methodology and Applications Branch. Surveillance Research Program. Joinpoint Regression Program. Version 4.8.0.1 - April 2020. Bethesda, MD; 2020. [ Links ]
Kim HJ, Fay MP, Feuer EJ, Midthune DN. Permutation tests for joinpoint regression with applications to cancer rates. Stat Med. 2000;19(3):335-51. https://doi.org/10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z [ Links ]
Vidal C, Hoffmeister L, Biagini L. Tendencia de la mortalidad por cáncer de cuello uterino en Chile: aplicación de modelos de regresión joinpoint. Rev Panam Salud Publica. 2013;33(6):407-13 [ Links ]
Dragomirescu I, Llorca J, Gómez-Acebo I, Dierssen-Sotos T. A join point regression analysis of trends in mortality due to osteoporosis in Spain. Sci Rep. 2019;9(1):4264. https://doi.org/10.1038/s41598-019-40806-0 [ Links ]
Xunta de Galizia (ES), Servizo Galego de Saude (ES), Consellería de Sanidade; Organización Panamericana de la Salud (OPS); Universidad CES (COL). Epidat: programa para análisis epidemiológico de datos. Versión 4.2. Santiago de Compostela (ES); 2016 [cited 2020 May 25]. Available from: https://www.sergas.es/Saude-publica/EPIDAT-4-2?idioma=es [ Links ]
Arriaga EE. Measuring and explaining the change in life expectancies. Demography. 1984;21(1):83-96. [ Links ]
Arriaga EE. Los años de vida perdidos: su utilización para medir el nivel y el cambio de la mortalidad. Notas Poblacion. 1996;24(63):7-38. [ Links ]
Boleda M, Arriaga E. América Latina: Mortalidad por accidentes y por violencia contra las personas. Notas Poblacion. 2000;28(70):87-119. [ Links ]
World Health Organization. Mortality Data Base: cause of death query. Geneva: WHO; 2018 [cited 2020 Jun 12]. Available from: https://www.who.int/data/data-collection-tools/who-mortality-database [ Links ]
Dávila-Cervantes CA, Agudelo-Botero M, Gloria-Hernández LE. Diabetes en México y Colombia: análisis de la tendencia de años de vida perdidos, 1998-2007. Rev Salud Publica. 2011;13(4):560-71. [ Links ]
Cavan D, Makaroff L, Fernandes JR, Sylvanowicz M, Ackland P, Conlon J, et al. The Diabetic Retinopathy Barometer Study: global perspectives on access to and experiences of diabetic retinopathy screening and treatment. Diabetes Res Clin Pract. 2017;129:16-24. https://doi.org/10.1016/j.diabres.2017.03.023 [ Links ]
Harding JL, Pavkov ME, Magliano DJ, Shaw JE, Gregg EW. Global trends in diabetes complications: a review of current evidence. Diabetologia. 2019;62(1):3-16. https://doi.org/10.1007/s00125-018-4711-2 [ Links ]
Verhulst MJL, Loos BG, Gerdes VEA, Teeuw WJ. Evaluating all potential oral complications of diabetes mellitus. Front Endocrinol (Lausanne). 2019;10:56. https://doi.org/10.3389/fendo.2019.00056 [ Links ]
Villalobos A, Rojas-Martínez R, Aguilar-Salinas CA, Romero-Martínez M, Mendoza-Alvarado LR, Flores-Luna ML, et al. Atención médica y acciones de autocuidado en personas que viven con diabetes, según nivel socioeconómico. Salud Publica Mex. 2019;61(6):876-87. https://doi.org/10.21149/10546 [ Links ]
Riddle MC, Herman WH. The cost of diabetes care: an elephant in the room. Diabetes Care. 2018;41(5):929-32. https://doi.org/10.2337/dci18-0012 [ Links ]
Instituto Nacional de Geografía y Estadística. Estudio Nacional de Salud y Envejecimiento en México: los adultos más vulnerables. Aguascalientes (MEX): INEGI; 2012 [cited 2020 Jun 2]. Available from: http://www.enasem.org/images/ENASEM-20-2-aging_In_Mexico_AdutosMasVulnerables_2020 [ Links ]
Instituto Nacional de Estadística y Geografía. Módulo de práctica deportiva y ejercicio físico. Aguascalientes (MEX): INEGI; 2018 [cited 2020 May 18]. Available from: https://www.inegi.org.mx/contenidos/programas/mopradef/doc/resultados_mopradef_nov_2018.pdf [ Links ]
Torres HC, Pace AE, Chaves FF, Velasquez-Melendez G, Reis IA. Avaliação dos efeitos de um programa educativo em diabetes: ensaio clínico randomizado. Rev Saude Publica. 2018;52:8. https://doi.org/10.11606/s1518-8787.2018052007132 [ Links ]
Conrado-Aguilar S, Calderón-Estrada R, Mello-García M, Rosas-Barrientos JV. Metas terapéuticas en el control metabólico de pacientes con diabetes mellitus 2, servicio de consulta externa de Medicina Interna del Hospital Regional 1° de Octubre. Rev Esp Med Quir. 2011;16(1):18-26. [ Links ]
León-Mazón MA, Araujo-Mendoza GJ, Linos-Vázquez ZZ. DiabetIMSS. Eficacia del programa de educación en diabetes en los parámetros clínicos y bioquímicos. Rev Med Inst Mex Seguro Soc. 2013;51(1):74-9. [ Links ]
Organización Panamericana de la Salud. Situación de salud en las Américas: indicadores básicos 2015. Washington, DC: OPS; 2015. [ Links ]
Lozano-Ascencio R. ¿Es posible seguir mejorando los registros de las defunciones en México? Gac Med Mex. 2008;144(6):525-33. [ Links ]
Organización Panamericana de la Salud. La diabetes en las Américas. Bol Epidemiol OPS. 2001;22(2):1-3. [ Links ]
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Copyright (c) 2021 María Guadalupe Vega-López, Guillermo Julián González-Pérez
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