Detección de riesgos nutricionales y metabólicos en trabajadores del Laboratorio Estatal de Salud Pública del Estado de Guanajuato / Detection of nutritional and metabolic risks in workers of State Laboratory of Public Health of the State of Guanajuato

Introduction: There is sufficient evidence of the risks as-sociated with diabetes mellitus and cardiovascular diseasewith obesity. Occupational health continues to be a challengeto integrate the detection of metabolic risks and timely inter-ventions that prevent disability and deterioration of the qual-ity of life. Objective: To detect nutritional and metabolic risks in lab-oratory workers. Materials and methods: A descriptive and cross-sec-tional study was carried out in 26 workers (21 women and 5men) from a State Laboratory of Public Health of the State ofGuanajuato; Anthropometric indicators (weight, height, cir-cumference, percentage of body fat), biochemical indicators(glucose, cholesterol, LDL, HDL, triglycerides, creatinine andurea) were measured. Metabolic syndrome was analisys inthe participants. Results: The average age of the participants was 36.5 ±12 years; 50% of the women presented obesity and 76% apercentage of body fat higher than recommended. Mean glu-cose was 79±9 g/dL, cholesterol 176 ± 31 mg / dL, HDL12.9±49 mg/dL, LDL 23.9±97 mg/dL, triglycerides 152 ± 80mg / dL, Creatinine 0, 6±0.1 mg/dL and urea 25 ± 6.6 mg/dL. Metabolic syndrome were detected in five women. Conclusion: A cardiometabolic risk of 23.8% was found,mainly due to the presence of obesity, distribution, and per-centage of body fat in the workers, which with the averageage the early risk of type 2 diabetes mellitus, hypertensionand dyslipidemia.(AU)

Proximity and High Density of Convenience Stores Was Associated With Obesity in Children of a Rural Community of Mexico: Using a Geographic Information System Approach.

BACKGROUND: Food environment (FE) has been linked to obesity in urban areas, but there is limited information in rural areas, particularly in developing countries, where prevalence of obesity is high. OBJECTIVE: To determine the association between FE and childhood obesity using Geographic Information Systems (GIS). METHODS: A total of 218 (8-10 years) children participated in a cross-sectional study. Weight, height, and body fat were measured. Geolocation of convenience stores (CS) and participants' households was collected, and the amount of processed food (PF) in the stores was measured. The proximity to the nearest CS and the number of CS within a 250-m buffer from each participant's household was calculated using GIS. Linear regression models between obesity measurements and FE were performed. RESULTS: The combined prevalence of overweight and obesity was 32%. A total of 91% of the children had access to a CS within 250 m. On average, 48% of the shelf-space of the CS were occupied with PF. A positive association between the density of CS with body fat % (ß = .145; 95% CI, 0.048-0.241, P = .004), abdominal fat % (ß = .206; 95% CI, 0.048-0.241, P = .003), and body mass index (BMI)-for-age z-score (BMIz; ß = .028; 95% CI, 0.005-0.062, P = .005) was found. Living closer to CS was associated with increases in body fat % (ß = -0.009; 95% CI, -0.017 to -0.001, P = 0.025), abdominal fat % (ß = -0.012; 95% CI, -0.023 to -0.001, P = 0.033), and BMIz (ß = -0.002, 95% CI, -0.004 to -0.001, P = 0.003). CONCLUSION: In a rural community in Mexico, a high density and low proximity to CS is associated with obesity in school-aged children.