METHODS: A total of 415 healthy Malaysian schoolchildren aged 9-12 years were recruited in this cross-sectional study, through cluster random sampling. Nutrient and sugar intakes were assessed using 3-day 24-hour diet recalls. Whole grain intake was assessed using a validated whole grain food frequency questionnaire.
RESULTS: In these 415 children (9.4-12.7 years), a total of 24 of them have been excluded due to over- and under-reported their dietary intake. Ultimate sample size was 391 children. Overall, consumption of whole grain, fiber, calcium and B vitamins were lower than the recommended intake. However, children consumed protein sufficiently. Whole grain intake was a significant predictor of calorie (β = 0.1011; p
METHODS: A total of 392 children participated in the FFQ development and 112 children aged 9-12 years participated in the validation phase; with a subsample of 50 children participating in the reproducibility phase. Three-day diet record (3DR) as the reference method in validation phase. Spearman correlations, mean difference, Bland-Altman plot and cross-classification analyses were used to assess validity. The reproducibility was tested through a repeat administration of the FFQ, with 1 month time interval. Reproducibility analyses involved intra-class correlation coefficient (ICC), Cronbach's alpha and cross-classification analyses.
RESULTS: The FFQ consisted of 156 whole grain food items from six food groups. Mean intake of whole grain in FFQ1 and 3DR were correlated well (r = 0.732), demonstrated good acceptance of the FFQ. Bland Altman plots showed relatively good agreement for both the dietary methods. Cross-classification of whole grain intake between the two methods showed that
METHODS: A web-based survey (REDCap) was distributed via emails, social networking sites, and professional groups from October 2020 to February 2021 to neonatal clinicians in 35 countries.
RESULTS: A total of 484 responses were obtained from 35 countries and categorized into low/middle-income (43%, LMIC) or high-income (57%, HIC) countries. Of the 484 respondents, 53% would provide TH in mild HIE on case-to-case basis and only 25% would never cool. Clinicians from LMIC were more likely to routinely offer TH in mild HIE (25% v HIC 16%, p < 0.05), have a unit protocol for providing TH (50% v HIC 26%, p < 0.05), use adjunctive tools, e.g., aEEG (49% v HIC 32%, p < 0.001), conduct an MRI post TH (48% v HIC 40%, p < 0.05) and less likely to use neurological examinations as a HIE severity grading tool (80% v HIC 95%, p < 0.001). The majority of respondents (91%) would support a randomized controlled trial that was sufficiently large to examine neurodevelopmental outcomes in mild HIE after TH.
CONCLUSIONS: This is the first survey of global opinion for TH in mild HIE. The overwhelming majority of professionals would consider "cooling" an infant with mild HIE, but LMIC respondents were more likely to routinely cool infants with mild HIE and use adjunctive tools for diagnosis and follow-up. There is wide practice heterogeneity and a sufficiently large RCT designed to examine neurodevelopmental outcomes, is urgently needed and widely supported.
METHODS: Optimal RTU (oRTU) rates were determined for nine middle-income countries, following the epidemiological evidence-based method. The actual RTU (aRTU) rates were calculated dividing the total number of new notifiable cancer patients treated with radiotherapy in 2012 by the total number of cancer patients diagnosed in the same year in each country. An analysis of the characteristics of patients and treatments in a series of 300 consecutive radiotherapy patients shed light on the particular patient and treatments profile in the participating countries.
RESULTS: The median oRTU rate for the group of nine countries was 52% (47-56%). The median aRTU rate for the nine countries was 28% (9-46%). These results show that the real proportion of cancer patients receiving RT is lower than the optimal RTU with a rate difference between 10-42.7%. The median percent-unmet need was 47% (18-82.3%).
CONCLUSIONS: The optimal RTU rate in middle-income countries did not differ significantly from that previously found in high-income countries. The actual RTU rates were consistently lower than the optimal, in particular in countries with limited resources and a large population.