ArticleFrontiers in public health2020
The Impact of Education and Age on Metabolic Disorders.
Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 64 citations in OpenAlex.
- Trial
- Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.Endocrinology, diabetes & metabolism · 2026Article
- Coffee consumption in relation to circadian syndrome in US population: a cross-sectional study.Nutrition journal · 2026Article
- Type 2 Diabetes Mellitus in Saudi Arabia: Prevalence, Risk Factors, and Management Strategies: A Review.Endocrine, metabolic & immune disorders drug targets · 2026Review
- Longitudinal effects of atypical antipsychotic drugs on body composition in first-episode and chronic schizophrenia patients.BMC psychiatry · 2025Article
- Associations Between Sedentary Behaviors and Sedentary Patterns with Metabolic Syndrome in Children and Adolescents: The UP&DOWN Longitudinal Study.Healthcare (Basel, Switzerland) · 2025Article
- Clinical Patterns of Dyslipidemia in Patients With Initial-Treatment and Drug-Naïve Schizophrenia.Alpha psychiatry · 2025Article
- Association between serum uric acid and cardiometabolic syndrome: a cross-sectional study from NHANES 1999-2020.BMC cardiovascular disorders · 2025Article
- Association between socioeconomic status and the triglyceride glucose index: a cross-sectional study based on NHANES 2007-2016.BMC public health · 2025Article
- Prevalence and determinants of insulin resistance in recovered COVID-19 and uninfected residents of two regional capitals in Ghana: An observational study.PLOS global public health · 2025Article
- The association between the lifestyle risk score and metabolically healthy and unhealthy obesity phenotype in Iranian women with overweight and obesity: a cross-sectional study.Frontiers in public health · 2025Article
- Metabolic syndrome prediction based on body composition indices.The Journal of the Egyptian Public Health Association · 2024Article
- Investigation of the risk factors associated with prediabetes in normal-weight Qatari adults: a cross-sectional study.Scientific reports · 2024Article
- Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts.Environmental science & technology · 2024Article
- Article
- Association between cardiovascular health assessed by life's essential 8 and hyperuricemia in U.S. adults: the NHANES 2009-2020.Frontiers in endocrinology · 2024Article
- Pro-inflammatory diets promote the formation of hyperuricemia.Frontiers in endocrinology · 2024Article
- The potential of the serum uric acid to high-density lipoprotein cholesterol ratio as a predictive biomarker of diabetes risk: a study based on NHANES 2005-2018.Frontiers in endocrinology · 2024Article
- The importance of education combined with tailored exercise in the health and wellness of older adults: a community case study.Frontiers in psychology · 2024Article
- Education and metabolic syndrome: a Mendelian randomization study.Frontiers in nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic disorders, such as obesity, elevated blood pressure, dyslipidemias, insulin resistance, hyperglycemia, and hyperuricemia have all been identified as risk factors for an epidemic of important and widespread chronic-degenerative diseases, such as type 2 diabetes and cardiovascular disease, that constitute some of the world's most important public health challenges. Their increasing prevalence can be associated with an aging population and to lifestyles within an obesogenic environment. Taking educational level as a proxy for lifestyle, and using both logistic and linear regressions, we study the relation between a wide set of metabolic biomarkers, and educational level, body mass index (BMI), age, and sex as correlates, in a population of 1,073 students, academic and non-academic staff at Mexico's largest university (UNAM). Controlling for BMI and sex, we consider educational level and age as complementary measures-degree and duration-of exposure to metabolic insults. Analyzing the role of education across a wide spectrum of educational levels (from primary school to doctoral degree), we show that higher education correlates to significantly better metabolic health when compared to lower levels, and is associated with significantly less risk for waist circumference, systolic blood pressure, glucose, glycosylated hemoglobin, triglycerides, high density lipoprotein and metabolic syndrome (all
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.