Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Diabetes Mellitus screening and associated factors in Peru

A cross-sectional analysis of a national health survey

Bibliographic Data

ID19593530
AuthorsEiner Carlos Eduardo Arevalo-Rios (0000-0001-8826-1560, Universidad Peruana Cayetano Heredia, corresponding author), Jennifer Layza-Reyes (0009-0002-7366-4150, Universidad Peruana Cayetano Heredia, corresponding author), Victor Hugo Noriega-Ruiz (0000-0003-4709-1328, Universidad Peruana Cayetano Heredia, corresponding author)
EditorsJulia Robinson (0000-0003-0719-3995)
Year2025
Volume5
Issue9
Pagese0005150
Publication date2025-09-03
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0005150
PMID40901847
OpenAlexW4413968055
LanguageEN
References cited20

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 18–34 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 18–34 years with overweight or obesity, as well as all participants aged ≥ 35 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 18–34 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

Confounding · Cross-sectional study · Diabetes mellitus · Environmental health · Multivariate analysis · National Health and Nutrition Examination Survey · Obesity · Overweight · Poisson regression · Population · Type 2 Diabetes Mellitus · Demography · Diabetes, Cardiovascular Risks, and Lipoproteins · Health Promotion and Cardiovascular Prevention · Medicine · Obesity and Health Practices · Endocrinology · Gerontology · Internal Medicine

  • Factors associated with the use of annual health checkups in Thailand

    Open Access•Seung Chun Paek, Ning Jackie Zhang•Frontiers in Public Health•2024

  • Estimating mortality and disability in Peru before the Covid-19 pandemic

    Open Access•María Jesús Ríos-Blancas, Victoria Pando-Robles et al.•Frontiers in Public Health•2023

  • Rural Latino Men’s Experiences and Attitudes Toward Health

    Open Access•Jason Daniel‐Ulloa, Jimmy Reyes et al.•American Journal of Men s Health•2023

  • Prevalence, awareness, treatment and control of high blood pressure in a cohort in Northern Andean Peru

    Open Access•Giuliana Sanchez-Samaniego, Stella M Hartinger et al.•Global Health Action•2023

  • Socioeconomic inequalities in the use of medical consultation services in Peru, 2019

    Open Access•Renato Díaz-Ruiz, Rodrigo Vargas-Fernández et al.•International Journal for Equity…•2024

  • What do we know about who does and does not attend general health checks? Findings from a narrative scoping review

    Open Access•Ruth Dryden, Brian Williams et al.•BMC Public Health•2012

  • Factors influencing uptake of diabetes health screening

    Open Access•P V AshaRani, Fiona Devi et al.•BMC Public Health•2022

  • Factors affecting response to an invitation to attend for a health check

    Margaret Thorogood, Angela Coulter et al.•Journal of Epidemiology and…•1993

  • Noncommunicable diseases and the use of health services

    Open Access•Deborah Carvalho Malta, Regina Tomie Ivata Bernal et al.•Revista de Saúde Pública•2017

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae