Comparison of metabolic syndrome prevalence using three different definitions: A population-based study in Peru
Vera-Ponce, V. J.; Zuzunaga-Montoya, F. E.; Vasquez-Romero, L. E. M. -; Loayza-Castro, J. A.; Valladares-Garrido, M. J.
Show abstract
IntroductionMetabolic syndrome (MetS) is important for public health; however, there are different ways to define it. Objectives1) to estimate the prevalence of MetS using three different definitions: the criteria of the International Diabetes Federation (IDF), the World Health Organization (WHO), and the National Cholesterol Education Programs Adult Treatment Panel III (ATPIII), 2) to identify the factors associated with the presence of MetS according to each criterion, and 3) to evaluate the agreement between these three. Materials and MethodsA secondary and cross-sectional analysis of the database from the Life Stages Food and Nutrition Surveillance Survey (VIANEV) was conducted. For the definition of MetS, the aforementioned definitions were used. A multivariable Poisson regression analysis with robust variance and agreement was evaluated through the Kappa index. ResultsAccording to ATPIII, IDF, and WHO, the prevalence of MetS was 42.60%, 46.78%, and 49.49%, respectively. The agreement between IDF with WHO and ATPIII criteria was 0.42 and 0.45, while for ATPIII and WHO it was 0.44. In general, the associated factors were identified as sex, marital status, age, region of residence, level of physical activity, smoking habit, and body mass index (BMI). However, the association of these varied according to the definition used. ConclusionThe prevalence of MetS varies significantly according to the criteria used. This was higher when the WHO definition was used compared to the others. Additionally, the associated factors varied according to the definition used, although a consistency was observed across all definitions with BMI.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Relationship of sociodemographic and lifestyle factors and diet habits with metabolic syndrome (MetS) in a multi-ethnic Asian population 98%
- Prevalence of cardiometabolic risk factors according to urbanization level, gender and age, in apparently healthy adults living in Gabon, Central Africa 97%
- Association of METS-IR Index with Type 2 Diabetes: A Cross-sectional Analysis of National Health and Nutrition Examination Survey Data from 2009 to 2018 97%
Similar papers in this journal
- Changes in the prevalence of the common risk factors for non-communicable diseases in Uganda between 2014 and 2023: Informed by nationally representative cross-sectional surveys 95%
- Overweight and Obesity among Women at Reproductive Age 15-49 Years Old in Cambodia: Data Analysis of Cambodia Demographic and Health Survey 2014 95%
- Prevalence and Factors Associated with Overweight and Obesity among Women of Reproductive Age in Cambodia: Analysis of Cambodia Demographic and Health Survey 2021-2022 95%
Similar papers in this journal
- Association Between Life’s Essential 8 and Atherogenic Index of Plasma in Adults: Insights from NHANES 2007-2018 95%
- ACE gene variants rise the risk of severe COVID-19 in patients with hypertension, dyslipidemia or diabetes. A pilot study 93%
- Circulating adipokines in non-obese PCOS patients: a systematic review and meta-analysis 93%
Similar papers in this journal
- Prevalence of Mental Health Disorders among Elderly Diabetics and Associated Risk Factors in Indonesia 95%
- Role Of Body Mass And Physical Activity In Autonomic Function Modulation On Post-COVID-19 Condition: An Observational Subanalysis Of Fit-COVID Study 94%
- Impostor Phenomenon in the Nutrition and Dietetics Profession: An Online Cross-Sectional Survey 92%
Similar papers in this journal
- Exploring the Association Between Urinary Incontinence and Depression Based on a Series of Large-Scale National Health Studies in Turkiye 93%
- The Relationship Between Clinical Profile, Glycemic Parameters And Hypoglycemia In Type 1 Diabetes Pediatric Patients 92%
- Polycystic ovary syndrome susceptibility loci inform disease etiological heterogeneity 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.