98%
921
2 minutes
20
Adequate amounts of fruit and vegetables (F&V) are an important part of a healthy diet, yet intake is suboptimal in most population groups worldwide. To better understand the evidence of strategies aiming to improve F&V intake, we conducted a scoping review of interventions assessing the impact on F&V intake, including those aiming to improve F&V intake explicitly and those targeting diet, health, lifestyle, or food environment generally. Among all eligible interventions reviewed, most of which were implemented in high-income countries, about half reported a significant positive impact on fruit and/or vegetable intake. Interventions that used a multicomponent strategy (61%) and those that focused on F&V specifically (72%) were most likely to find a significant increase in fruit and/or vegetable intake. Detailed summaries are provided in 2 accompanying articles. In the present article, we put these findings into perspective. Specifically, we considered the evidence for 4 target countries of the Fruit and Vegetables for Sustainable Healthy Diets Initiative: Benin, the Philippines, Sri Lanka, and Tanzania. When considering available evidence at the national level, there is a paucity of information from intervention trials despite evidence of inadequate F&V intakes in each of these countries. When considering available evidence at the global level, and especially for low-and-middle income countries, there is a critical need to strengthen the evidence across various intervention strategies, particularly related to targeting, timing, intensity, duration, frequency, and other key characteristics, to better understand how to enhance their impact on F&V intake in various population groups and contexts.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12394765 | PMC |
http://dx.doi.org/10.1177/03795721251357385 | DOI Listing |
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
View Article and Find Full Text PDFBMC Biotechnol
September 2025
Zoology Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
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.
Behav Res Methods
September 2025
Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Cybernetics, Prague, Czech Republic.
Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding of motor development and massively increasing the chances of early diagnosis of disorders. There has been a rapid development of human pose estimation methods in computer vision, thanks to advances in deep learning and machine learning. However, these methods are trained on datasets that feature adults in different contexts.
View Article and Find Full Text PDFBehav Res Methods
September 2025
Department of Psychology, University of Basel, Basel, Switzerland.
Over the past several decades, decision-making research has been dominated by the study of binary choice tasks, with key models assuming that people remain equally cautious regardless of how long they have spent on the choice problem. Recent research has begun to place a greater focus on studying tasks with a continuous-response scale, as well as models that allow for decreases in caution over decision time; however, these research topics have remained separate from one another. For instance, proposed models of continuous-response scales have assumed constant caution over time, and studies investigating whether caution decreases over time have focused on binary choice tasks.
View Article and Find Full Text PDF