Fatores associados à triagem da Diabetes Mellitus na população Peruana: um problema de saúde pública?
DOI:
https://doi.org/10.15649/cuidarte.2792Palavras-chave:
Diabetes Mellitus, Programas de Rastreamento, Fatores epidemiológicos, PerúResumo
Introdução: A diabetes melito tipo 2 é uma doença que representa um desafio à saúde pública devido a sua crescente tendência e impacto, especialmente em países em desenvolvimento. O objetivo deste estudo foi determinar os fatores associados à não realização de triagem para diabetes mellitus tipo 2 de acordo com a Pesquisa Demográfica e de Saúde da Família 2020 (DHS-2020). Materiais e métodos: Estudo analítico transversal secundário do ENDES-2020. Resultados: As variáveis que mostraram associação estatisticamente significativa para a triagem DM2 foram: sexo masculino (PR=1,06, 95%CI 1,02-1,10, p<0,001), idade 30-59 anos (0,92, 95%CI 0,89-0,95, p<0,001) e 60 anos ou mais (PR=0,72, 95%CI 0,65-0,79, p<0,001), educação primária (PR=0,94, 95%CI 0,92-0,99, p<0,020), educação secundária (PR=0,93, 95%CI 0,88-0,97, p=0,008), e educação secundária superior (PR=0,93, 95%CI 0,88-0,97, p=0,008); p=0,008) e superior (PR=0,86, 95% CI 0,85-0,94; p<0,001), pobre (PR=0,96, 95% CI 0,92-0,99; p=0,016), médio (PR=0,93, 95% CI 0,88 - 0,96; p=0,001), rica (PR=0,89; 95%CI 0,84 - 0,94; p<0,001), muito rica (PR=0,81; 95%CI 0,75-0,86; p<0,001), e hipertensão (PR=0,91; 95%CI 0,867-0,969; p=0,002). Discussão: O sexo masculino foi o único fator associado com a não realização de triagem para diabetes mellitus tipo 2, enquanto pertencia a uma faixa etária mais velha, ter hipertensão, educação superior e status socioeconômico aumentou a probabilidade de triagem. Conclusão: É essencial reforçar as estratégias de triagem no nível da atenção primária através da implementação de medidas preventivas.
Como citar este artigo: Fiorella Trujillo Minaya, Vera-Ponce Victor Juan, Torres-Malca Jenny Raquel, Zuzunaga-Montoya Fiorella E, Guerra Valencia Jamee, De la Cruz-Vargas Jhony A, Cruz Ausejo Liliana. Factores asociados al cribado de diabetes mellitus en población peruana ¿problema para la salud pública?. Revista Cuidarte. 2023;14(1):e2792. http://dx.doi.org/10.15649/cuidarte.2792
Referências
Zhou B, Lu Y, Hajifathalian K, Bentham J, Cesare MD, Danaei G, et al. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants. The Lancet. 2016;387(10027):1513–30. https://doi.org/10.1016/S0140-6736(16)00618-8
International Diabetes Federation, IDF Diabetes Atlas. 7th ed. Brussels, Belgium: International Diabetes Federation; 2015. IDF. 2015. https://www.diabetesatlas.org/upload/resources/previous/files/7/IDF%20Diabetes%20Atlas%207th.pdf
U. S Department of Health and Human Services. Informe Nacional de Estadísticas de la Diabetes, 2020: Estimaciones sobre la diabetes y su carga en los Estados Unidos. CDC. 2020. https://www.cdc.gov/diabetes/pdfs/data/statistics/NDSR_2020_Spanish-508.pdf
Carrillo-Larco RM, Bernabé-Ortiz A. Diabetes mellitus tipo 2 en Perú: una revisión sistemática sobre la prevalencia e incidencia en población general. Rev Peru Med Exp Salud Publica. 2019;36(1):26–36. https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/4027
Carhuavilca Bonett D. Perú: Encuesta Demográfica y de Salud Familiar-ENDES 2020. INEI. 2021. https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1795/
IDF Diabetes Atlas. Resources | IDF Diabetes Atlas.2022. INEI. 2022. https://diabetesatlas.org/resources/
American Diabetes Association. Prevention or Delay of Type 2 Diabetes: Standards of Medical Care in Diabetes—2020. Diabetes Care. 2020;43(Supplement 1):S32–6. https://pubmed.ncbi.nlm.nih.gov/31862746/
National Institute for Health and Care Excellence. Type 2 diabetes: prevention in people at high risk. NICE. 2017. https://www.nice.org.uk/guidance/PH38/chapter/Recommendations#risk-identification-stage-1
American Diabetes Association Professional Practice Committee. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022. Diabetes Care. 2021;45(Supplement_1):S17–38. https://pubmed.ncbi.nlm.nih.gov/34964875/
Khunti K, Mani H, Achana F, Cooper N, Gray LJ, Davies MJ. Systematic Review and Meta-Analysis of Response Rates and Diagnostic Yield of Screening for Type 2 Diabetes and Those at High Risk of Diabetes. PLoS One. 2015;10(9):e0135702. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0135702
Vera-Ponce VJ, Osada Liy JE, Valladares-Garrido MJ. Validez de la prueba de riesgo de la Asociación Americana de Diabetes como cribado para prediabetes en una muestra de trabajadores peruanos. Revista de la Facultad de Medicina Humana. 2021;21(3):564–70. https://revistas.urp.edu.pe/index.php/RFMH/article/view/3614
Gillies CL, Lambert PC, Abrams KR, Sutton AJ, Cooper NJ, Hsu RT, et al. Different strategies for screening and prevention of type 2 diabetes in adults: cost effectiveness analysis. BMJ. 2008;336(7654):1180–5. https://www.bmj.com/content/336/7654/1180
Diabetes Canada Clinical Practice Guidelines Expert Committee, Punthakee Z, Goldenberg R, Katz P. Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome. Can J Diabetes. 2018;42 Suppl 1:S10–5. https://www.canadianjournalofdiabetes.com/article/S1499-2671(17)30813-4/fulltext
Skinner TC, Davies MJ, Farooqi AM, Jarvis J, Tringham JR, Khunti K. Diabetes screening anxiety and beliefs. Diabetic Medicine. 2005;22(11):1497–502. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1464-5491.2005.01680.x
Pastakia SD, Ali SM, Kamano JH, Akwanalo CO, Ndege SK, Buckwalter VL, et al. Screening for diabetes and hypertension in a rural low income setting in western Kenya utilizing home-based and community-based strategies. J Global Health. 2013;9(1):21. https://link.springer.com/article/10.1186/1744-8603-9-21
Misra R, Fitch C, Roberts D, Wright D. Community-Based Diabetes Screening and Risk Assessment in Rural West Virginia. J Diabetes Res. 2016;2016:e2456518. https://doi.org/10.1155/2016/2456518
Zhao Q, Xiao X, Lu W, Qiu L-X, Zhou C-M, Jiang W-L, et al. Screening diabetes in tuberculosis patients in eastern rural China: a community-based cross-sectional study. Int J Tuberc Lung Dis. 2016;20(10):1370–6. https://pubmed.ncbi.nlm.nih.gov/27725050/
Thomas T, Prabhata S, Valsangkar S. Diabetes screening and the distribution of blood glucose levels in rural areas of North India. J Family Community Med. 2015;22(3):140–4. https://pubmed.ncbi.nlm.nih.gov/26392793/
Banerjee ES, Shaak K, Burgess N, Johnson M, Careyva B. Factors Associated with Clinician Adherence to USPSTF Diabetes Screening Recommendations. Journal of Primary Care & Community Health. 2021;12. https://journals.sagepub.com/doi/epub/10.1177/21501327211016579
Sohler N, Matti-Orozco B, Young E, Li X, Gregg EW, Ali MK, et al. Opportunistic screening for diabetes and prediabetes using hemoglobin a1c in an urban primary care setting. Endocr Pract. 2016;22(2):143–50. https://pubmed.ncbi.nlm.nih.gov/26484404/
Tran L, Tran P, Tran L. A cross-sectional analysis of racial disparities in US diabetes screening at the national, regional, and state level. J Diabetes Complications. 2020;34(1):107478. https://pubmed.ncbi.nlm.nih.gov/31706806/
Timm L, Harcke K, Karlsson I, Sidney Annerstedt K, Alvesson HM, Stattin NS, et al. Early detection of type 2 diabetes in socioeconomically disadvantaged areas in Stockholm - comparing reach of community and facility-based screening. Glob Health Action. 2020;13(1):1795439. https://doi.org/10.1080/16549716.2020.1795439
Zhang P, Zhang X, Brown J, Vistisen D, Sicree R, Shaw J, et al. Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract. 2010;87(3):293–301. https://www.sciencedirect.com/science/article/abs/pii/S0168822710000495
Kiefer MM, Silverman JB, Young BA, Nelson KM. National patterns in diabetes screening: data from the National Health and Nutrition Examination Survey (NHANES) 2005-2012. J Gen Intern Med. 2015;30(5):612–8. https://link.springer.com/article/10.1007/s11606-014-3147-8
Shealy KM, Wu J, Waites J, Taylor NA, Blair Sarbacker G. Patterns of Diabetes Screening and Prediabetes Treatment during Office Visits in the US. J Am Board Fam Med. 2019;32(2):209–17. https://doi.org/10.3122/jabfm.2019.02.180259
Pinkhasov RM, Wong J, Kashanian J, Lee M, Samadi DB, Pinkhasov MM, et al. Are men shortchanged on health? Perspective on health care utilization and health risk behavior in men and women in the United States. Int J of Clinic Practice. 2010;64(4):475–87. https://doi.org/10.1111/j.1742-1241.2009.02290.x
Grabauskaitė A, Baranauskas M, Griškova-Bulanova I. Interoception and gender: What aspects should we pay attention to? Consciousness and Cognition. 2017;48:129–37. https://doi.org/10.1016/j.concog.2016.11.002
Longarzo M, Mele G, Alfano V, Salvatore M, Cavaliere C. Gender Brain Structural Differences and Interoception. Frontiers in Neuroscience. 2021;14. https://www.frontiersin.org/article/10.3389/fnins.2020.586860
Addis ME, Mahalik JR. Men, masculinity, and the contexts of help seeking. Am Psychol. 2003;58(1):5–14. https://doi.org/10.1037/0003-066x.58.1.5
Good GE, Borst TS, Wallace DL. Masculinity research: A review and critique. Applied and Preventive Psychology. 1994;3(1):3–14. https://doi.org/10.1016/S0962-1849(05)80104-0
Ealovega MW, Tabaei BP, Brandle M, Burke R, Herman WH. Opportunistic screening for diabetes in routine clinical practice. Diabetes Care. 2004;27(1):9–12. https://doi.org/10.2337/diacare.27.1.9
The CDC Diabetes Cost-Effectiveness Study Group. The Cost-effectiveness of Screening for Type 2 Diabetes. JAMA. 1998;280(20):1757–63. https://doi.org/10.1001/jama.280.20.1757
Mezones-Holguin E, Amaya E, Bellido-Boza L, Mougenot B, Murillo JP, Villegas-Ortega J, et al. Cobertura de aseguramiento en salud: el caso peruano desde la Ley de Aseguramiento Universal. Rev Peru Med Exp y Salud Pública. 2019;36(2):196–206. https://doi.org/10.17843/rpmesp.2019.362.3998
Lobo JM, Anderson R, Stukenborg GJ, McCall A, Kang H, Camacho F, et al. Disparities in the Use of Diabetes Screening in Appalachia. J Rural Health. 2018;34(2):173–81. https://doi.org/10.1111/jrh.12247
Montesi L, Caletti MT, Marchesini G. Diabetes in migrants and ethnic minorities in a changing World. World Journal of Diabetes. 2016;7(3):34–44. https://doi.org/10.4239/wjd.v7.i3.34
Alcalde-Rabanal JE, Lazo-González O, Nigenda G. Sistema de salud de Perú. Salud Públ Méx. 2011;53:s243–54. https://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0036-36342011000800019
Millard AV, Graham MA, Mier N, Moralez J, Perez-Patron M, Wickwire B, et al. Diabetes Screening and Prevention in a High-Risk, Medically Isolated Border Community. Frontiers in Public Health. 2017;5. https://www.frontiersin.org/article/10.3389/fpubh.2017.00135
Marlow L, McBride E, Varnes L, Waller J. Barriers to cervical screening among older women from hard-to-reach groups: a qualitative study in England. BMC Women’s Health. 2019;19(1):38. https://doi.org/10.1186/s12905-019-0736-z
Marlow LAV, Waller J, Wardle J. Barriers to cervical cancer screening among ethnic minority women: a qualitative study. J Fam Plann Reprod Health Care. 2015;41(4):248–54. https://doi.org/10.1136/jfprhc-2014-101082
Hu M, Wan Y, Yu L, Yuan J, Ma Y, Hou B, et al. Prevalence, Awareness and Associated Risk Factors of Diabetes among Adults in Xi’an, China. Sci Rep. 2017;7(1):10472. https://doi.org/10.1038/s41598-017-10797-x
Yamaguchi S, Lencucha R, Brown TG. Control, power, and responsibility: a qualitative study of local perspectives on problem drinking in Peruvian Andean highlands. Global and Health. 2021;17(1):109. https://doi.org/10.1186/s12992-021-00758-5
Nawaz H, Rahman MA, Graham D, Katz DL, Jekel JF. Health risk behaviors and health perceptions in the Peruvian Amazon. Amer J Trop Medicine Hyg 2001;65(3):252–6. https://pubmed.ncbi.nlm.nih.gov/11561713/
Budge S, Jaworowska A. Measured and Perceived Body Weight Status of Women in the Peruvian Amazon. Medicina. 2020;56(8):375. https://pubmed.ncbi.nlm.nih.gov/32722641/
Loret de Mola C, Pillay TD, Diez-Canseco F, Gilman RH, Smeeth L, Miranda JJ. Body mass index and self-perception of overweight and obesity in rural, urban and rural-to-urban migrants: PERU MIGRANT study. PLoS One. 2012;7(11):e50252. https://doi.org/10.1371/journal.pone.0050252
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