{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T22:07:51Z","timestamp":1757455671322,"version":"3.37.3"},"reference-count":19,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T00:00:00Z","timestamp":1630022400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["214185\/Z\/18\/Z"],"award-info":[{"award-number":["214185\/Z\/18\/Z"]}],"id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Background<\/jats:title>\n<jats:p>At the population level we would expect that people with obesity undergo diabetes screening tests more often than people with overweight and much more often than people with normal weight. We described the trends of diabetes screening according to body mass index (BMI) and waist circumference (WC) in Peru.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Pooled analysis of health national surveys (2015\u20132019); men and women aged 35\u201370 years. We used relative frequencies to study: among those who have had a glucose test in the last year, how many there were in each BMI and WC category. We fitted a Poisson model to study whether people with high BMI or WC were more likely to have had a glucose test.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>People with overweight (PR = 1.34; 95% CI: 1.29\u20131.38), obesity (PR = 1.57; 95% CI: 1.51\u20131.63) and central obesity (PR = 1.63; 95% CI: 1.35\u20131.96) were more likely to have had a glucose test. At the sub-national level, there was one (of twenty-five) region in which men with obesity were more often screened for diabetes than men with overweight and much more than men with normal weight. There were seven regions in which women with obesity were the most often screened for diabetes.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusions<\/jats:title>\n<jats:p>Consistent with a risk-based prevention approach, people with obesity would be screened for diabetes more often than those with overweight and those with normal weight. This ideal profile was only observed in few regions. Diabetes screening strategies should be strengthened and homogenised, so that they reach those at high risk of diabetes.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0256809","type":"journal-article","created":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T17:33:50Z","timestamp":1630085630000},"page":"e0256809","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Who is getting screened for diabetes according to body mass index and waist circumference categories in Peru? a pooled analysis of national surveys between 2015 and 2019"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2090-1856","authenticated-orcid":true,"given":"Rodrigo M.","family":"Carrillo-Larco","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2194-8496","authenticated-orcid":true,"given":"Wilmer Cristobal","family":"Guzman-Vilca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Bernabe-Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2021,8,27]]},"reference":[{"key":"pone.0256809.ref001","unstructured":"NICE National Institute for Health and Care Excellence. 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Available: https:\/\/www.gob.pe\/institucion\/minsa\/normas-legales\/193275-719-2015-minsa."},{"key":"pone.0256809.ref010","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.2337\/dc14-0869","article-title":"Diabetes risk among overweight and obese metabolically healthy young adults","volume":"37","author":"G Twig","year":"2014","journal-title":"Diabetes Care"},{"key":"pone.0256809.ref011","first-page":"303","article-title":"Overweight and obesity: prevalence and determining social factors of overweight in the Peruvian population (2009\u20132010)","volume":"29","author":"D \u00c1lvarez-Dongo","year":"2012","journal-title":"Rev Peru Med Exp Salud Publica"},{"key":"pone.0256809.ref012","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.pcd.2017.08.005","article-title":"Predictors of undiagnosed prevalent type 2 diabetes\u2014The Danish General Suburban Population Study","volume":"12","author":"A Heltberg","year":"2018","journal-title":"Prim Care Diabetes"},{"key":"pone.0256809.ref013","doi-asserted-by":"crossref","first-page":"e1002751","DOI":"10.1371\/journal.pmed.1002751","article-title":"Health system performance for people with diabetes in 28 low- and middle-income countries: A cross-sectional study of nationally representative surveys","volume":"16","author":"J Manne-Goehler","year":"2019","journal-title":"PLoS Med"},{"key":"pone.0256809.ref014","doi-asserted-by":"crossref","first-page":"2627","DOI":"10.1016\/S0140-6736(17)32129-3","article-title":"Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128\u00b79 million children, adolescents, and adults","volume":"390","author":"NCD Risk Factor Collaboration (NCD-RisC)","year":"2017","journal-title":"Lancet"},{"key":"pone.0256809.ref015","first-page":"278","article-title":"Sex and Gender Differences in Risk, Pathophysiology and Complications of Type 2","volume":"37","author":"A Kautzky-Willer","year":"2016","journal-title":"Diabetes Mellitus. 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