Nutrition
-
Diet plays an important role in cognitive health, but the long-term association of diet early in life with cognitive function in adulthood has not, to our knowledge, been rigorously studied. The aim of this study was to examine the association of youth, adulthood, and long-term dietary patterns from youth to adulthood with cognitive function in midlife. ⋯ Higher adherence to traditional Finnish, high-carbohydrate, and traditional Finnish and high-carbohydrate patterns across the early life course was associated with poorer cognitive function in midlife, whereas higher adherence to healthy and vegetable and dairy product patterns was associated with better cognitive function. The findings, if causative, highlight the importance of maintaining a healthy dietary pattern from early life to adulthood in an attempt to promote cognitive health.
-
Polyphenols is a major group of non-nutrients, considering their diversity, occurrence, and biological properties. Polyphenols play essential roles in the prevention of chronic diseases through the mitigation of inflammation, commonly referred to as meta-flammation. Inflammation is the most common feature of chronic diseases such as cancers, cardiovascular disorders, diabetes, and obesity. ⋯ The significant effects of dietary polyphenols in cancers and cardiovascular diseases are evaluated. The interactive possibilities of dietary polyphenols with other dietary food compounds in food systems and their effects are also presented. However, despite several works, estimation of dietary intake is still inconclusive and a major challenge.
-
The introduction of ChatGPT has sparked enormous public interest in large language (deep-learning) models, which have been sophisticated enough to perform well on a variety of tasks. One way people are using these models is to construct diets. The prompts often include food restrictions that are an obligatory part of everyday life for millions of people worldwide. ⋯ More common errors involve inaccuracies in portions or calories of food, meals, or diets. We discuss here how the accuracy of large language models could be increased and the trade-offs involved. We propose that prompting for elimination diets can serve as one way to assess differences between such models.
-
The energy demands of individuals with cystic fibrosis (CF) vary depending on pancreatic function, body composition, lung function, and clinical status. In clinical practice, predictive equations are used to determine energy requirements yet do not reliably account for these factors. Research regarding energy requirements during CF pulmonary exacerbation (CFPEx) and clinical stability is conflicting. The aim of this study was to investigate potential within-individual changes in measured resting energy expenditure (mREE) using indirect calorimetry (IC) at the commencement and completion of intravenous antibiotic treatment (IVABx) for CFPEx and during clinical stability. Secondary aims were to investigate potential differences between predicted resting energy expenditure (pREE) using Schofield equation and correlations between clinical factors with mREE. ⋯ The mREE remained stable during CFPEx and clinical stability. The pREE underestimated mREE and application of injury factor adjustment of 110% to 130% could potentially account for this discrepancy. The potential role of IC and body composition in individualizing CF nutritional assessment and prescription requires further exploration.
-
Review Meta Analysis
Prognostic value of temporal muscle thickness, a novel radiographic marker of sarcopenia, in patients with brain tumor: A systematic review and meta-analysis.
Sarcopenia has been identified as a prognostic factor among certain types of cancer. However, it is unclear whether there is prognostic value of temporalis muscle thickness (TMT), a potential surrogate for sarcopenia, in adults patients with brain tumors. Therefore, we searched the Medline, Embase, and PubMed to systematically review and meta-analyze the relationship between TMT and overall survival, progression-free survival, and complications in patients with brain tumors and the hazard ratio (HR) or odds ratios (OR), and 95% confidence interval (CI) were evaluated. ⋯ Sub-analyses showed that the association existed for both primary brain tumors (HR, 2.02; 95% CI, 1.55-2.63) and brain metastases (HR, 1.39; 95% CI, 1.30-1.49). Moreover, thinner TMT also was the independent predictor of progression-free survival in patients with primary brain tumors (HR, 2.88; 95% CI, 1.85-4.46; P < 0.01). Therefore, to improve clinical decision making it is important to integrate TMT assessment into routine clinical settings in patients with brain tumors.