METHODS: We retrospectively reviewed the data of 1265 consecutive patients who underwent elective esophageal surgery. The patients were classified into no risk, low-risk, moderate-risk, and high-risk groups based on nutritional scores.
RESULTS: The moderate-risk (hazard ratio [HR]: 1.55, 95% confidence interval [CI]: 1.24-1.92, p < 0.001 in CONUT; HR: 1.61, 95% CI: 1.22-2.12, p = 0.001 in GNRI; HR: 1.65, 95% CI: 1.20-2.26, p = 0.002 in PNI) and high-risk groups (HR: 1.91, 95% CI: 1.47-2.48, p < 0.001 in CONUT; HR: 2.54, 95% CI: 1.64-3.93, p < 0.001 in GNRI; HR: 2.32, 95% CI: 1.77-3.06, p < 0.001 in PNI) exhibited significantly worse 5-year overall survival (OS) compared with the no-risk group. As the nutritional status worsened, the trend in the OS rates decreased (p for trend in all indexes < 0.05).
CONCLUSIONS: Malnutrition, evaluated by any of three nutritional indexes, was an independent prognostic factor for postoperative survival.
METHOD: A systematic literature search was conducted using the PubMed and Scopus databases in August 2022. Original research articles using cells, animals, or humans to investigate the bone protective effects of naringenin were included.
RESULTS: Sixteen eligible articles were included in this review. The existing evidence suggested that naringenin enhanced osteoblastogenesis and bone formation through BMP-2/p38MAPK/Runx2/Osx, SDF-1/CXCR4, and PI3K/Akt/c-Fos/c-Jun/AP-1 signalling pathways. Naringenin also inhibited osteoclastogenesis and bone resorption by inhibiting inflammation and the RANKL pathway.
CONCLUSIONS: Naringenin enhances bone formation while suppressing bone resorption, thus achieving its skeletal protective effects. It could be incorporated into the diet through fruit intake or supplements to prevent bone loss.
METHODS: A population-based study of 454 adolescents aged 12 to 19 years was included. A validated food frequency questionnaire was used to assess dietary patterns and three dietary patterns were identified based on the principal component analysis method.
RESULTS: Malay adolescents had significantly higher scores for the Western-based food pattern and local-based food pattern, whereas Chinese adolescents showed higher scores for the healthy-based food pattern. Multivariate analyses show that age and physical activity (PA) levels were positively associated with healthy-based food pattern in Malay (All, p < 0.001), whereas higher consumption of eating-out from home (EatOut) (p = 0.014) and fast food (p = 0.041) were negatively associated. High weekly breakfast skipping (p < 0.001) and EatOut (p = 0.003) were positively associated with a Western-based pattern, whereas age (p < 0.001) and household income (p = 0.005) were negatively associated. Higher frequency of daily snacking (p = 0.013) was positively associated with local-based food pattern. For Chinese adolescents, age (p < 0.001), PA levels (p < 0.001) and maternal education level (p = 0.035) showed positive associations with the healthy-based pattern, whereas high EatOut (p = 0.001) and fast food intakes (p = 0.001) were negatively associated. Higher weekly consumption of EatOut (p = 0.007), fast food (p = 0.023) and carbonated beverages (p = 0.023), and daily snacking practice (p = 0.004) were positively associated with higher Western-based food pattern, whereas age (p = 0.004) was inversely associated.
CONCLUSION: This study showed that there were significant differences in dietary patterns and its association factors between Malay and Chinese adolescents. More importantly, these findings suggest that unhealthy dietary and lifestyle practices could increase the risk of adherence to unhealthy Western-based food pattern that is high in fat, sugar and salt contents, and, consequently, increase the risk of developing obesity and metabolic-related disorders during these critical years of growth.
METHODS: European, Thai and Malaysian universities collaborated with SEA national nutrition associations in the Early Nutrition eAcademy Southeast Asia (ENeA SEA) project. We assessed HCPs' needs using questionnaires and mapped CME/CPD programmes and regulations through stakeholder questionnaires. Using a co-creation approach, we established an e-learning platform. Evaluation in users was undertaken using questionnaires.
RESULTS: HCPs in SEA reported major training gaps relating to the first 1000 days of nutrition and limited impact of existing face-to-face training. Existing pre/postgraduate, residency and CME/CPD programmes did not adequately address the topic. To address these gaps, we produced a targeted e-learning platform with six modules and CME-tests. National ministries, Thai and Malaysian universities, and professional associations endorsed the training platform. To date, over 2600 HCPs have registered. Evaluation shows high acceptance and a very positive assessment.
CONCLUSIONS: Dedicated e-learning can reduce major gaps in HCP training in SEA regarding nutrition during the first 1000 days of life at scale and is highly valued by both users and key stakeholders.
METHOD: Between 1995 and 2000, a standardized 24-h dietary recall was conducted among 36,018 men and women from 27 European Prospective Investigation into Cancer and Nutrition (EPIC) study centres. Adjusted arithmetic means of intakes were estimated in grams (=volume) per day by sex and centre. Means of intake across centres were compared by sociodemographic characteristics and lifestyle factors.
RESULTS: In women, the mean daily intake of coffee ranged from 94 g/day (~0.6 cups) in Greece to 781 g/day (~4.4 cups) in Aarhus (Denmark), and tea from 14 g/day (~0.1 cups) in Navarra (Spain) to 788 g/day (~4.3 cups) in the UK general population. Similar geographical patterns for mean daily intakes of both coffee and tea were observed in men. Current smokers as compared with those who reported never smoking tended to drink on average up to 500 g/day more coffee and tea combined, but with substantial variation across centres. Other individuals' characteristics such as educational attainment or age were less predictive. In all centres, coffee and tea contributed to less than 10% of the energy intake. The greatest contribution to total sugar intakes was observed in Southern European centres (up to ~20%).
CONCLUSION: Coffee and tea intake and their contribution to energy and sugar intake differed greatly among European adults. Variation in consumption was mostly driven by geographical region.