Objective: To describe the prevalence of overweight and obesity in Mexican adults ≥20 y of age, as well as to describe its trends in the last three Mexican health surveys.
Materials And Methods: A sample of 38 208 adults with anthropometric's. The classification to categorize body mass index (BMI) was the World health Organization's (WHO). To define abdominal obesity classification was used the International Diabetes Federation (IDF) data.
Results: The prevalence of overweight and obesity was 71.3% (overweight 38.8% and obesity 32.4%). The prevalence of abdominal adiposity was 74.0%, being higher in women (82.8%) than in men (64.5%). Over the past 12 years the mean annualized BMI percent increase was 1.3%. This increase was higher in the 2000-2006 (1%) than in the 2006-2012 (0.3%) period.
Conclusion: In spite of the deacceleration of the increasing prevalence, there is no evidence to infer that prevalences will decrease in the next years. Thus, public policies for obestiy prevention and control should be strengthened and improved.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Effect of Drying Methods on the Phenolic Profile and Antioxidant Capacity of (Roxb.) Benth. Aril and Its Inhibitory Properties on Human SW480 Colon Adenocarcinoma Cells.
Molecules
January 2025
Laboratorio de Biología Celular y Molecular, School of Natural Sciences, Universidad Autonoma de Queretaro, Av. de las Ciencias S/N, Juriquilla, Queretaro 76230, Mexico.
() is a Mexican plant that is consumed raw or in different preparations, and its anti-inflammatory and antioxidant properties have traditionally been useful in treating several conditions. However, the post-harvest drying process can alter the content of bioactive compounds in . This study aims to evaluate the impact of different drying methods on the phenolic profile and antioxidant capacity of this plant, as well as its inhibitory effect on human SW480 colon adenocarcinoma cells.
View Article and Find Full Text PDFAssociations of Sociodemographic Characteristics with Food Choice Motives' Importance Among Mexican Adults: A Cross-Sectional Analysis.
Foods
January 2025
Departamento de Clínicas de la Reproducción Humana, Crecimiento y Desarrollo Infantil, División de Disciplinas Clínicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdeG), Guadalajara 44340, Mexico.
Several studies have explored food choice motives (FCMs), but their association with sociodemographic characteristics remains under-researched. This study aimed to examine the cross-sectional associations between sociodemographic factors and FCMs in a sample of Mexican adults. Sociodemographic data and eight FCMs' importance (health and natural content, mood, convenience, sensory appeal, price, food identity, image, and environmental concern) measured with a 75-item Updated Food Choice Questionnaire were studied in 786 participants (70% women, mean age: 24.
View Article and Find Full Text PDFThe type of diet consumed during prepuberty modulates plasma cholesterol, hepatic LXRα expression, and DNA methylation and hydroxymethylation during adulthood in male rats.
PLoS One
January 2025
Department of Nutritional Physiology, National Institute of Medical and Nutritional Sciences "Salvador Zubirán", Mexico City, Mexico.
Childhood obesity increases the risk of developing metabolic diseases in adulthood, since environmental stimuli during critical windows of development can impact on adult metabolic health. Studies demonstrating the effect of prepubertal diet on adult metabolic disease risk are still limited. We hypothesized that a prepubertal control diet (CD) protects the adult metabolic phenotype from diet-induced obesity (DIO), while a high-fat diet (HFD) would predispose to adult metabolic alterations.
View Article and Find Full Text PDFMultimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.
Front Public Health
January 2025
Karolinska Institutet, Department of Medicine Solna, Division of Clinical Epidemiology, Stockholm, Sweden.
Background: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analysis methods.
Purpose: To explore if multimodal machine learning can enhance identifying predictive features from obesogenic environments and investigating complex disease or social patterns, using the Mexican National Health and Nutrition Survey.
Targeting ultra-processed foods for prevention of type 2 diabetes: state of the evidence and future directions.
Diabetologia
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
The incidence of type 2 diabetes has risen globally, in parallel with the obesity epidemic and environments promoting a sedentary lifestyle and low-quality diet. There has been scrutiny of ultra-processed foods (UPFs) as a driver of type 2 diabetes, underscored by their increasing availability and intake worldwide, across countries of all incomes. This narrative review addresses the accumulated evidence from investigations of the trends in UPF consumption and the relationship with type 2 diabetes incidence.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!