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This study assessed the association of food security with potential cardio-metabolic risk factors among persons with metabolic syndrome (MetS). Data were derived from the baseline data of a randomized controlled lifestyle intervention trial for individuals with MetS. Household food security, fruit and vegetable intake, perceived food environment, and perceived stress were collected using validated questionnaires. Cardio-metabolic measures assessed with standardized procedures included body mass index, waist circumference, blood pressure, glucose, HbA1c, and lipids. Regression models adjusted for demographics, medication use, and perceived stress were performed. Of a total of 664 participants (median age 56), the majority were female, non-Hispanic White, college-educated, and employed. Food insecurity affected 23% (n = 152), with 5% (n = 31) experiencing very low food security. Food-insecure individuals had significantly higher stress ( < 0.001), lacked healthy food access ( < 0.001), were and less likely to consume ≥2 servings of vegetables/day ( = 0.003). HbA1c was the only cardio-metabolic measure significantly associated with food security ( = 0.007). The link between food insecurity and elevated HbA1c levels highlights the importance of addressing food insecurity and stress to improve metabolic health outcomes in the MetS population.
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http://dx.doi.org/10.3390/ijerph22010028 | DOI Listing |
Genome Biol
September 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Background: Soil salinization represents a critical global challenge to agricultural productivity, profoundly impacting crop yields and threatening food security. Plant salt-responsive is complex and dynamic, making it challenging to fully elucidate salt tolerance mechanism and leading to gaps in our understanding of how plants adapt to and mitigate salt stress.
Results: Here, we conduct high-resolution time-series transcriptomic and metabolomic profiling of the extremely salt-tolerant maize inbred line, HLZY, and the salt-sensitive elite line, JI853.
Theor Appl Genet
September 2025
Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
View Article and Find Full Text PDFAm J Clin Nutr
September 2025
Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland. Electronic address:
Background: Data from dietary intervention studies to test the ability of sustainable diets to meet micronutrient (MN) requirements is required.
Objective: To compare MN intakes and status among adults who received dietary counselling to follow a sustainable diet or a standard healthy diet.
Methods: We conducted a single-blind, randomized controlled trial among 355 healthy adults aged 18-64 years in three centers over 12-weeks.
Methods
September 2025
School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China; Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng, Henan, China. Electronic address:
Genomic selection (GS) is a breeding technique that utilizes genomic markers to predict the genetic potential of crops and animals. This approach holds significant promise for accelerating the improvement of agronomic traits and addressing food security challenges. While traditional breeding methods based on statistical or machine learning techniques have been useful in predicting traits for some crops, they often fail to capture the complex interactions between genotypes and phenotypes.
View Article and Find Full Text PDFHealth Place
September 2025
Edith Cowan University, School of Medical and Health Sciences, 270 Joondalup Dr, Joondalup, WA, 6027, Perth, Western Australia, Australia; Edith Cowan University, Nutrition and Health Innovation Research Institute, 270 Joondalup Dr, Joondalup, WA, 6027, Perth, Western Australia, Australia. Electroni
Food security is a particular challenge in rural, regional and remote locations due to complexities associated with food availability, access, utilisation, stability, agency and sustainability dimensions. Existing approaches, such as emergency food relief, have been found to inadequately address these challenges, suggesting that a comprehensive portfolio of solutions could be more effective. Understanding what food security initiative leaders operating in these areas consider important will help establish a shared goal to guide the development of a portfolio approach.
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