{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T12:03:09Z","timestamp":1791201789085,"version":"4.2.0"},"reference-count":28,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosglobalpublichealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Glob Public Health"],"abstract":"<jats:p>Screening rates for Type 2 diabetes mellitus (T2DM) in Peru remain low despite an increasing prevalence of the disease. In 2022, the American Diabetes Association (ADA) recommended screening adults aged 18\u201334 with overweight or obesity and at least one risk factor, including Latino ethnicity and lowered the universal screening age to 35 years. This study aimed to determine the T2DM screening prevalence in Peru and the factors associated with lack of screening in the population that meets ADA screening criteria. A cross-sectional, secondary data analysis was conducted based on the 2022 Peruvian Demographic and Health Survey database. Screening was defined as apparently healthy individuals having their blood glucose measured in the last year. Participants aged 18\u201334 years with overweight or obesity, as well as all participants aged\u2009\u2265\u200935 years, were included. Bivariate analysis was performed using the chi-squared test, and multivariate Poisson regression was used to estimate prevalence ratios (PRs), adjusting for potential confounders. Of 26,166 individuals who met inclusion criteria, 25.3% were screened for T2DM. The factors most strongly associated with lack of screening were: age 18\u201334 years (aPR: 1.08; 95% CI: 1.05-1.11), having only elementary education (aPR: 1.18; 95% CI: 1.13-1.23), not having health insurance (aPR: 1.15; 95% CI: 1.12-1.18), belonging to the lowest wealth quintile (aPR: 1.09; 95% CI: 1.05-1.13), and daily smoking (aPR: 1.10; 95% CI: 1.01-1.19). The national rate of screening for T2DM in Peru is low (25.3%). There is a higher prevalence for a lack of screening in people who: are younger, have only primary education, do not have health insurance, belong to the lowest wealth quintile, and are smokers. Targeted interventions are needed to improve screening coverage in these high-risk populations.<\/jats:p>","DOI":"10.1371\/journal.pgph.0005150","type":"journal-article","created":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T17:42:22Z","timestamp":1756921342000},"page":"e0005150","update-policy":"https:\/\/doi.org\/10.1371\/journal.pgph.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["Diabetes Mellitus screening and associated factors in Peru: A cross-sectional analysis of a national health survey"],"prefix":"10.1371","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8826-1560","authenticated-orcid":true,"given":"Einer Carlos Eduardo","family":"Arevalo-Rios","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7366-4150","authenticated-orcid":true,"given":"Jennifer","family":"Layza-Reyes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4709-1328","authenticated-orcid":true,"given":"Victor Hugo","family":"Noriega-Ruiz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"issue":"8","key":"pgph.0005150.ref001","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.2337\/dc14-2459","article-title":"Early Detection and Treatment of Type 2 Diabetes Reduce Cardiovascular Morbidity and Mortality: A Simulation of the Results of the Anglo-Danish-Dutch Study of Intensive Treatment in People With Screen-Detected Diabetes in Primary Care (ADDITION-Europe)","volume":"38","author":"WH Herman","year":"2015","journal-title":"Diabetes Care"},{"issue":"2","key":"pgph.0005150.ref002","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s00125-020-05319-w","article-title":"Impact of age at type 2 diabetes mellitus diagnosis on mortality and vascular complications: systematic review and meta-analyses","volume":"64","author":"N Nanayakkara","year":"2021","journal-title":"Diabetologia"},{"key":"pgph.0005150.ref003","article-title":"Diagnosis and classification of diabetes: standards of care in diabetes\u20142024","volume":"47","author":"American Diabetes Association Professional Practice Committee","year":"2023","journal-title":"Diabetes Care"},{"key":"pgph.0005150.ref004","doi-asserted-by":"crossref","first-page":"1189861","DOI":"10.3389\/fpubh.2023.1189861","article-title":"Estimating mortality and disability in Peru before the COVID-19 pandemic: a systematic analysis from the Global Burden of the Disease Study 2019","volume":"11","author":"MJ Rios-Blancas","year":"2023","journal-title":"Front Public Health"},{"issue":"1","key":"pgph.0005150.ref005","doi-asserted-by":"crossref","DOI":"10.1136\/bmjdrc-2015-000110","article-title":"Prevalence of diabetes and impaired fasting glucose in Peru: report from PERUDIAB, a national urban population-based longitudinal study","volume":"3","author":"SN Seclen","year":"2015","journal-title":"BMJ Open Diabetes Res Care"},{"key":"pgph.0005150.ref006","unstructured":"INEI. Instituto Nacional de Estadistica e Informatica. Peru: Enfermedades No Transmisibes y Transmisibles 2022; 2023 https:\/\/www.inei.gob.pe\/media\/MenuRecursivo\/publicaciones_digitales\/Est\/Lib1951\/libro.pdf"},{"key":"pgph.0005150.ref007","unstructured":"Ministerio deSalud del Peru. 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