Food insecurity has been associated with decreased household food supplies, which could affect children’s fruit and vegetables intakes and increases their risk of being overweight or obese. The aim of this study was to determine if food insecurity was associated with lower fruit and vegetables consumption and overweight and obesity in children from Mexican fishing communities. A cross-sectional study was 4conducted with 100 elementary-school children aged 6–12 years. A survey that evaluated socioeconomic conditions, food insecurity, and fruits and vegetables consumption was applied. Weight and height were measured. The association between key variables and food insecurity was assessed using linear regression. Sixty-four percent of households experienced food insecurity. Food-insecure children reported lower consumption of fruits and fruits plus vegetables than did their peers with food security (P trend = 0.040 and 0.038, respectively). Food insecurity was also associated with lower chance to meet the recommendation of fruit and vegetable consumption (P trend in logit < 0.001), but was negatively associated with the prevalence of overweight and obesity (P trend in logit < 0.001). Food-insecure children had lower fruits and vegetables consumption but were no more likely to be overweight or obese than their food-secure counterparts.

Food insecurity was associated with low quality diet and low HDL level in mothers of Northwest Mexico relying on fisheries for livelihood

School-based obesity prevention programs are key to promoting healthy habits. The aim of this study was to evaluate the effect of the Planet Nutrition program on BMI z-score and other parameters compared to a control group of Mexican schoolchildren after 9 weeks of intervention. The effect of the summer holidays on the BMI z-score was also evaluated at 23 weeks. A pilot randomized controlled trial design was used and 41 schoolchildren were randomized (21 intervention group and 20 control). The program included 18 nutrition education sessions, 20 physical activity classes and six brochures for parents. At 9 weeks, no significant differences were found between the intervention and control groups in the change in BMI z-score (−0.11, 95% CI −0.23, 0.01). Significant differences were observed in some secondary outcomes: body fat percentage (−1.72, 95% CI −3.42, −0.02), waist circumference (−3.45, 95% CI −5.55, −1.36), physical activity (0.44, 95% CI 0.01, 0.88) and nutrition knowledge (1.15, 95% CI 0.27, 2.03). Summer holidays negatively affected the BMI z-score in both groups, reducing the difference observed between groups at 9 weeks (−0.07, 95% CI −0.22, 0.07). The Planet Nutrition program showed favorable effects in some obesity and lifestyle parameters in the short term.

Background: Through a cross-sectional survey, we determined the seroprevalence and correlates of Toxoplasma gondii (T. gondii) infection in women of reproductive age in Hermosillo City, Mexico. Methods: We studied 445 women of reproductive age in Hermosillo City in the northwestern Mexican state of Sonora. Women were enrolled in the University of Sonora. Sera of women were examined for IgG and IgM antibodies to T. gondii by commercially available enzyme immunoassays. The association of T. gondii seropositivity with the characteristics of the pregnant women was determined by bivariate and multivariate analyses. Results: Of the 445 women (mean age: 22.18 ± 5.6 years) studied, 16 (3.6%) had IgG antibodies to T. gondii, and two (12.5%) were also positive for IgM antibodies to T. gondii. Of the 16 anti-T. gondii IgG-positive women, six (37.5%) had IgG levels higher than 150 IU/mL, four (25.0%) between 100 and 150 IU/mL, and six (37.5%) between 9 and 99 IU/mL. Multivariate analysis of socio-demographic and behavioral variables showed that T. gondii seropositivity was associated with older age (odds ratio (OR): 5.30; 95% confidence interval (CI): 1.37 - 20.50; P = 0.01) and boar meat consumption (OR: 6.86; 95% CI: 1.27 - 37.07; P = 0.02). Conclusions: Women of reproductive age in Hermosillo City had a low seroprevalence of T. gondii infection. However, this finding indicates that most of these women were susceptible to a primary infection. Factors associated with T. gondii infection found in this study may be useful for the optimal planning of preventive measures against T. gondii infection and its sequelae. J Clin Med Res. 2018;10(3):210-216 doi: https://doi.org/10.14740/jocmr3284w

Food safety systems are undergoing a profound and urgent transformation, shifting from traditional end-product inspection models toward integrated, preventive, and predictive approaches supported by digital, genomic and data-driven technologies. Conventional frameworks face increasing limitations in the context of globalized supply chains, climate variability, emerging hazards, and growing sustainability demands. This structured narrative review critically examines the technological and governance trends driving the transition toward digital and predictive food safety systems, with particular emphasis on their implications for sustainability. Key enabling technologies (including artificial intelligence (AI), whole-genome sequencing (WGS), Internet of Things (IoT)-based monitoring, blockchain-enabled traceability, and predictive analytics) are analyzed in terms of their capacity to enhance early hazard detection, real-time surveillance, and risk anticipation across the food supply chain. Beyond a descriptive overview, this review integrates technological, regulatory, and governance dimensions to identify convergence points, implementation barriers, and sustainability trade-offs, with particular attention to small and medium-sized enterprises and low- and middle-income countries. Furthermore, a four-level Digital Maturity Framework is proposed to conceptualize progressive stages of technological integration, providing a structured pathway for the evolution from reactive to predictive food safety systems. While digital and predictive approaches offer significant potential to reduce food losses, improve transparency, and strengthen evidence-based decision-making, their effective implementation remains constrained by infrastructure gaps, data governance challenges, regulatory fragmentation, and unequal access to digital capabilities. Achieving resilient and sustainability-oriented food safety systems will therefore require coordinated innovation, regulatory harmonization, and inclusive digital transformation strategies.