DESIGN: Scoping review.

SETTING: Systematic search using PubMed and Web of Science.

RESULTS: We identified twelve tools from seventy-four eligible publications. They were developed for Koreans (n 4), Bangladeshis (n 2), Iranians (n 1), Indians/Malays/Chinese (n 1), Japanese (n 3) and Chinese Americans (n 1). Most tools (10/12) were composed of a dish-based FFQ. Although the development process of a dish list varied among the tools, six studies classified mixed dishes based on the similarity of their characteristics such as food ingredients and cooking methods. Tools were validated against self-reported dietary information (n 9) and concentration biomarkers (n 1). In the eight studies assessing the differences between the tool and a reference, the mean (or median) intake of energy significantly differed in five studies, and 26-83 % of nutrients significantly differed in eight studies. Correlation coefficients for energy ranged from 0·15 to 0·87 across the thirteen studies, and the median correlation coefficients for nutrients ranged from 0·12 to 0·77. Dish-based dietary assessment tools were used in fifty-nine studies mainly to assess diet-disease relationships in target populations.

METHODOLOGY: A total of 396 students from the Management and Science University (MSU) participated during the semester of March 2010. Stratified random sampling was used and consent was obtained before the questionnaire was distributed. ANOVA and the t-test were used for the univariate analysis and multiple linear regression was used for the multivariate analysis.

RESULTS: The participants ages ranged from 18 to 27 years (Mean ± SD = 23.3 ± 1.57), more than half being female (62.4%). The majority were 23 years old or younger, single, Malay and from non-Medical and Health Science faculties and with a family monthly income of less than 10,000 Ringgits Malaysia(79.5%; 99%, 65.9, 52.5%, 63.9%; respectively). Only 18.4% of participants reported a family history of cancer. About 32.1% had a medical check-up in the previous 12 months and 17.4% were smokers. Multivariate analysis showed the faculty type to be significantly associated with knowledge of cancer prevention (p = 0.04). Regular medical check-ups were associated with attitudes and practices of cancer prevention (p = 0.04, p=0.003 respectively), the latter being significantly influenced by sex, family history of cancer and smoking (p = 0.034, p=0.013, p=0.002; respectively).

METHOD: This systematic review was conducted to identify and describe FFQs that measure dietary intake of pre-diabetic patients and to examine their relative validity and reliability. The systematic search was done through electronic databases such as PubMed, CINAHL, PsycINFO, ProQuest and Scopus. Methodological quality of included studies and results of study outcome was also summarized in this review.

RESULT: The search identified 445 papers, of which 18 studies reported 15 FFQs, met inclusion criteria. Most of the FFQs (n = 12) were semi-quantitative while three were frequency measures with portion size estimation of selected food items. Test-retest reliability of FFQ was reported in 7 (38.3%) studies with the correlation coefficient of 0.33-0.92. Relative validity of FFQ was reported in 16 (88.8%) studies with the range of correlation coefficient of 0.08-0.83. Dietary patterns rich in carbohydrate, fat, animal protein and n-3 fatty acids were associated with increased risk of pre-diabetes.

BACKGROUND: Continuous effort has been made to identify patients at high risk of malnutrition, but monitoring and documentation of nutritional intake are relative less emphasized upon.

METHODS: A needs assessment through a cross-sectional study design was carried out at six hospitals in Yogyakarta, Indonesia. A self-administered semi-structured questionnaire was filled out by 111 respondents recruited from three different professions (nurses, dietitians and serving assistants) in the wards.

RESULTS: Seventy per cent of the respondents perceived that the current dietary assessment tool used to record patients' food intake was simple; however, the disadvantage of this tool was its tedious process of computing nutritional values of food consumed. Furthermore, more than half respondents encountered problems in conducting food intake record of patients, primarily due to limited number of human resources, followed by time constraints and perception that such dietary assessment as not part of their job scope.

DISCUSSION: This study has revealed important information in developing a simple, valid and reliable dietary assessment tool for monitoring food intake of hospitalized patients to be applied by interdisciplinary hospital professionals.

CONCLUSIONS: Awareness of the important on monitoring nutrient intake of patients should be emphasized among healthcare professionals. The current dietary assessment tool requires modification due to lengthy time taken to complete the task and poor accuracy in intake estimation.

OBJECTIVES: To compare the accuracy of energy and nutrient intake estimation of 4 technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner.

METHODS: In a controlled feeding study with a crossover design, 152 participants [55% women; mean age 32 y, standard deviation (SD) 11; mean body mass index 26 kg/m2, SD 5] were randomized to 1 of 3 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day [Automated Self-Administered Dietary Assessment Tool-Australia (ASA24); Intake24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)]. When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record (mFR) app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models.

RESULTS: The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI: 0.6, 10.2%) using ASA24, 1.7% (95% CI: -2.9, 6.3%) using Intake24, 1.3% (95% CI: -1.1, 3.8%) using mFR-TA, and 15.0% (95% CI: 11.6, 18.3%) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P < 0.01) except Intake24 (P = 0.1). Differential accuracy in nutrient estimation was present among the methods.

METHODS: The study was conducted in the EPIC (European Prospective Investigation into Cancer and Nutrition) cohort, which included 476,108 adult men and women. Coffee and tea intakes were assessed through validated country-specific dietary questionnaires.

RESULTS: During a mean follow-up of 14 years, 748 first incident differentiated TC cases (including 601 papillary and 109 follicular TC) were identified. Coffee consumption (per 100 mL/day) was not associated either with total differentiated TC risk (HRcalibrated 1.00, 95% CI 0.97-1.04) or with the risk of TC subtypes. Tea consumption (per 100 mL/day) was not associated with the risk of total differentiated TC (HRcalibrated 0.98, 95% CI 0.95-1.02) and papillary tumor (HRcalibrated 0.99, 95% CI 0.95-1.03), whereas an inverse association was found with follicular tumor risk (HRcalibrated 0.90, 95% CI 0.81-0.99), but this association was based on a sub-analysis with a small number of cancer cases.

METHODS: Over half a million participants from 10 European countries were followed up for over 11 years, after which 865 newly diagnosed exocrine pancreatic cancer cases were identified. Adherence to the MD was estimated through an adapted score without the alcohol component (arMED) to discount alcohol-related harmful effects. Cox proportional hazards regression models, stratified by age, sex and centre, and adjusted for energy intake, body mass index, smoking status, alcohol intake and diabetes status at recruitment, were used to estimate hazard ratios (HRs) associated with pancreatic cancer and their corresponding 95% confidence intervals (CIs).

RESULTS: Adherence to the arMED score was not associated with risk of pancreatic cancer (HR high vs low adherence=0.99; 95% CI: 0.77-1.26, and HR per increments of two units in adherence to arMED=1.00; 95% CI: 0.94-1.06). There was no convincing evidence for heterogeneity by smoking status, body mass index, diabetes or European region. There was also no evidence of significant associations in analyses involving microscopically confirmed cases, plausible reporters of energy intake or other definitions of the MD pattern.

METHODS AND STUDY DESIGN: A total of 116 items associated with sociodemographic characteristics (7 items), professional development (3 items), organisational culture's support for the NCP (2 items), knowledge (27 items), attitudes (39 items), practices (20 items), and perceived barriers to implementing the NCP (14 items) were generated for potential inclusion in the KAPB-NCP questionnaire. The questionnaire was reviewed online by an expert panel for its content validity. An in-depth review was conducted by the research team for evaluating the overall comprehensiveness of the questionnaire.

RESULTS: In total, 87 of 100 items of the KAPB sections showed an excellent content validity index (CVI; k* >0.74), whereas 10 showed a satisfactory CVI (k*=0.60-0.74). Only 3 items had a low CVI (k* <0.40). According to the expert panel revisions and the in-depth review, 72 items were incorporated into the questionnaire.

METHODS: Medical records of all HSCR patients who underwent pull-through at the Dr. Sardjito Hospital, Indonesia between January 2010 and August 2016 were reviewed for their growth outcomes before and after the surgery.

RESULTS: We included 64 HSCR patients, 45 males and 19 females, of which 14, 17, and 33 patients underwent Duhamel, Soave, and TEPT respectively. There were no nutritional status differences in HSCR patients after Duhamel, Soave, and TEPT surgery (p=0.07, 0.17, and 0.79, respectively). Z-score average of weight-for-age did not differ between three surgical methods (p=0.77 and 0.15 for preoperative and postoperative, respectively). In addition, the improvement of nutritional status was achieved in 21.2% HSCR patients after TEPT, 14.3% post Duhamel and 5.9% following Soave procedure, but these differences did not reach a significant level (p=0.34).