Diabetes Mellitus screening and associated factors in Peru
A cross-sectional analysis of a national health survey
Bibliographic Data
| ID | 19593530 |
|---|---|
| Authors | Einer 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) |
| Editors | Julia Robinson (0000-0003-0719-3995) |
| Year | 2025 |
| Volume | 5 |
| Issue | 9 |
| Pages | e0005150 |
| Publication date | 2025-09-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0005150 |
| PMID | 40901847 |
| OpenAlex | W4413968055 |
| Language | EN |
| References cited | 20 |
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
Estimating mortality and disability in Peru before the Covid-19 pandemic
Rural Latino Men’s Experiences and Attitudes Toward Health
Prevalence, awareness, treatment and control of high blood pressure in a cohort in Northern Andean Peru
Socioeconomic inequalities in the use of medical consultation services in Peru, 2019
What do we know about who does and does not attend general health checks? Findings from a narrative scoping review
Factors influencing uptake of diabetes health screening
Factors affecting response to an invitation to attend for a health check
Noncommunicable diseases and the use of health services
| Highly cited | No |
|---|