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University athletes are unique because they not only have to cope with the normal psycho-physiological stress of training and playing sport, but they also need to accommodate the stress associated with their academic studies along with considerable stress from their social environment. The ability to manage and adapt to stress ultimately helps improve athletic performance, but when stress becomes too much for the athlete, it can result in maladaptation's including sleep disruption which is associated with performance loss, negative mood changes, and even injury or illness. This research aimed to determine if sleep quantity and quality were associated with maladaptation in university athletes. We examined subjective measures of sleep duration and sleep quality along with measures of mood state, energy levels, academic stress, training quality and quantity, and frequency of illness and injury in 82 young (18–23 years) elite athletes over a 1 year period in 2020. Results indicate sleep duration and quality decreased in the first few weeks of the academic year which coincided with increased training, academic and social stress. Regression analysis indicated increased levels of perceived mood (1.3, 1.1–1.5, Odds Ratio and 95% confidence limits), sleep quality (2.9, 2.5–3.3), energy levels (1.2, 1.0–1.4), training quality (1.3, 1.1–1.5), and improved academic stress (1.1, 1.0–1.3) were associated with ≥8 h sleep. Athletes that slept ≥8 h or had higher sleep quality levels were less likely to suffer injury/illness (0.8, 0.7–0.9, and 0.6, 0.5–0.7 for sleep duration and quality, respectively). In conclusion, university athletes who maintain good sleep habits (sleep duration ≥8 h/night and high sleep quality scores) are less likely to suffer problems associated with elevated stress levels. Educating athletes, coaches, and trainers of the signs and symptoms of excessive stress (including sleep deprivation) may help reduce maladaptation and improve athlete's outcomes.

Background Gut microbiota data obtained by DNA sequencing are complex and compositional because of large numbers of detectable taxa, and because microbiota characteristics are described in relative terms. Nutrition researchers use principal component analysis (PCA) to derive dietary patterns from food data. Although compositional PCA methods are not commonly used to describe patterns from complex microbiota data, this approach would be useful for identifying gut microbiota patterns associated with diet and body composition. Objectives To use compositional PCA to describe the principal components (PCs) of gut microbiota in 5-y-old children and explore associations between microbiota components, diet, and BMI z-score. Methods A fecal sample was provided by 319 children aged 5 y. Their primary caregiver completed a validated 123-item quantitative FFQ. Body composition was determined using DXA, and a BMI z-score was calculated. Compositional PCA identified characterizing taxa and weightings for calculation of gut microbiota PC scores at the genus level, and was examined in relation to diet and body size. Results Three gut microbiota PCs were found. PC1 (negative loadings on uncultured Christensenellaceae and Ruminococcaceae) was related to lower BMI z-scores and longer duration of breastfeeding (per month) (β = -0.14; 95% CI: -0.26, -0.02; and β = 0.02; 95% CI: 0.003, 0.34, respectively). PC2 (positive loadings on Fusicatenibacter and Bifidobacterium; negative loadings on Bacteroides) was associated with a lower intake of nuts, seeds, and legumes (β = -0.05 per gram; 95% CI: -0.09, -0.01). When adjusted for fiber intake, PC2 was also associated with higher BMI z-scores (β = 0.12; 95% CI: 0.01, 0.24). PC3 (positive loadings on Faecalibacterium, Eubacterium, and Roseburia) was associated with higher intakes of fiber (β = 0.02 per gram; 95% CI: 0.003, 0.04) and total nonstarch polysaccharides (β = 0.02 per gram; 95% CI: 0.003, 0.04). Conclusions Our results suggest that specific gut microbiota components determined using compositional PCA are associated with diet and BMI z-score.This trial was registered at clinicaltrials.gov as NCT00892983.

Objective To describe the participatory approach used to inform the development of a video game designed to increase children's nutrition knowledge. The objectives were to (1) assess children's nutrition areas of focus, (2) explore parents’ and children's perceptions of video games for nutrition education, and (3) collect information on children's video game preferences. Design Qualitative research design using 10 focus group interviews and 5 workshops. Children's nutrition knowledge and game player type were assessed by questionnaires. Setting South Island, New Zealand. Participants Sixty-two primary school children, aged 7–11 years. Ten parents completed an online questionnaire. Phenomenon of Interest Participatory approach in designing digital nutrition education resources. Analysis A general inductive approach was used to develop the themes. Results The following 3 themes were identified through thematic analysis: (1) positive impacts associated with video games for nutrition education, (2) factors for engagement, and (3) barriers for sustained use. Conclusions and Implications Both children and parents perceived that video games offered an avenue to increase nutrition knowledge. However, negative views such as screen time usage need to be addressed before widespread adoption. The participatory design approach provided information about game mechanics that will inspire the game design and enhance engagement of video games for nutrition education.

Background When maternal micronutrient intakes and statuses are compromised, reductions in micronutrient concentrations in neonatal stores and human milk may result in suboptimal micronutrient intakes, statuses, and functional outcomes of breastfed infants during the critical first 6-month period. Objectives We compared the adequacy of micronutrient intakes and statuses at 2 and/or 5 months and morbidity and growth faltering at 2, 5, and 12 months in a cohort of exclusively breastfed (EBF) and partially breastfed (PBF) infants from low-resource Indonesian households. Methods At 2 and 5 months, the breastfeeding status and human milk intake of 212 infants were determined using the deuterium oxide dose-to-mother technique, and intakes were calculated from milk micronutrient concentrations and 3-d weighed food intakes. At 5 months, five infant micronutrient biomarkers, hemoglobin, C-reactive protein, and α-1-acid-glycoprotein were measured. Infant morbidity, weight, and length were measured at 2, 5, and 12 months. Means, medians, or proportions were reported for each group and differences between groups were statistically determined. Results Median intakes of iron, thiamin, niacin, and vitamin B-12 were higher in PBF than EBF infants at 5 months (all P values 0.126). Conclusions Irrespective of exclusive or partial breastfeeding status, micronutrient intakes of infants were low, statuses were compromised, and growth faltering during the critical 6 months period of early infancy was present. The findings highlight the importance of improving maternal nutritional statuses and evaluating their impacts on infant outcomes.

Background Maternal micronutrient deficits during preconception and pregnancy may persist during lactation and compromise human milk composition. Objective We measured micronutrient concentrations in human milk and investigated their association with maternal micronutrient intakes, status, and milk volume. Methods Infant milk intake (measured via a deuterium dose-to-mother technique), milk micronutrient and fat concentrations, and maternal micronutrient intakes were assessed at 2 and 5 mo postpartum in 212 Indonesian lactating mother-infant pairs. Maternal hemoglobin, ferritin, transferrin receptors, retinol binding protein (RBP), zinc, selenium, and vitamin B-12 were measured at 5 mo (n = 163). Multivariate or mixed effects regression examined associations of milk micronutrient concentrations with maternal micronutrient intakes, status, and milk volume. Results Prevalence of anemia (15%), and iron (15% based on body iron), selenium (2.5%), and vitamin B-12 deficiency (0%) were low compared with deficiencies of zinc (60%) and vitamin A (34%). The prevalence of inadequate intakes was >50% for 7 micronutrients at 2 and 5 mo. Median milk concentrations for most micronutrients were below reference values, and nearly all declined between 2 and 5 mo postpartum and were not associated substantially with milk volume (except for β-carotene, α-carotene, and β-cryptoxanthin). At 5 mo postpartum, associations between maternal micronutrient status and corresponding milk concentrations reported as mean percentage difference in human milk concentration for each unit higher maternal biomarker were significant for hemoglobin (1.9%), iron biomarkers (ranging from 0.4 to 7%), RBP (35%), selenium (70%), and vitamin B-12 (0.1%), yet for maternal intakes only a positive association with β-carotene existed. Conclusions Most milk micronutrient concentrations declined during lactation, independent of changes in human milk production, and few were associated with maternal micronutrient intakes. The significant associations between maternal biomarkers and milk micronutrient concentrations at 5 mo warrant further study to investigate whether the declines in milk micronutrients are linked to shifts in maternal status.

Asians with similar body mass index (BMI) as the Caucasians are at higher health risk as compared to their counterparts. Although the mean weight of patients admitted to the intensive care unit (ICU) is increasing but the relation between BMI with 28-day mortality and length of stay (LOS) following ICU discharge in Asian patients is not well studied.We included all adult patients admitted to the ICU of a tertiary hospital who received mechanical ventilation (MV) for at least 48 hours between October 2013 and September 2014. Demographics, BMI, MV, comorbidities, ICU scores (Acute Physiology And Chronic Health Evaluation (APACHE) II and sequential organ failure assessment (SOFA)), use of vasopressor, renal replacement therapy and calorie supplementation were collected from the ICU database. BMI was categorized into four groups according to the World Health Organization's Asian BMI recommendation. Post-ICU LOS (days) was calculated from ICU discharge to hospital discharge in hospital survivors. We used multivariable logistic regression to identify factors associated with 28-day mortality and post-ICU LOS of more than 7 days.In a cohort of 273 patients (male 62%, mean age 58.4 ± 17 years), the prevalence of overweight/obesity was 53%. In the bivariate analysis, 28-day mortality was lower (p = 0.014) and post-ICU LOS longer (p = 0.01) in the overweight/obese groups. In the multivariable logistic regression analysis, APACHE II (Odds ratio, OR 1.10, CI 1.05-1.16), SOFA (OR 1.17, CI 1.05-1.31), duration of MV (days, OR 1.14, CI 1.05-1.25) were associated with increased and higher BMI groups (p 0.001) with decreased 28-day mortality. Further analysis of 196 hospital survivors showed age (OR 1.04, CI 1.02-1.06), duration of MV (days, OR 1.14, CI 1.02-1.27) and higher Asian BMI (p = 0.042) were associated with longer post-ICU LOS. The odds of longer post-ICU LOS amongst overweight and obese patients were 1.27 (CI 0.59-2.73) and 1.62 (CI 0.69-3.81) times that of those with normal BMI respectively.In multiethnic critically ill Asian patients, the prevalence of overweight/obesity was high. Although higher BMI was associated with reduced risk of 28-day mortality, obese patients stayed significantly longer in the hospital following ICU discharge.

Summary Background & aims For patients in the intensive care unit (ICU), nutritional risk assessment is often difficult. Traditional scoring systems cannot be used for patients who are sedated or unconscious since they are unable to provide information on their history of food intake and weight loss. We aim to validate the NUTRIC (NUTrition RIsk in Critically ill) score, an ICU-specific nutrition risk assessment tool in Asian patients. Methods This was an observational study in the medical ICU of a university-affiliated tertiary hospital. We included all adult patients (≥18years) admitted between October 2013 and September 2014 who stayed for more than 24 hours in the ICU. Components of the modified NUTRIC (mNUTRIC) score, demographic details, body mass index (BMI), use of mechanical ventilation (MV), vasopressor drugs, and renal replacement therapy (RRT) were obtained from the ICU database. For patients on MV (maximum 12 days), we calculated the energy intake and nutritional adequacy (energy received ÷ energy recommended) from enteral or parenteral feeding data. Multivariable logistic regression analysis was used with 28-day mortality as the outcome of interest. Results 401 patients (62% male, mean age 60.0 ± 16.3 years, mean BMI 23.9 ± 6.2 kg/m 2 ) were included. In the univariate analysis, BMI, mNUTRIC score, MV, vasopressor drug, and RRT were associated with 28-day mortality. In the multivariable logistic regression analysis, mNUTRIC score (Odds ratio, OR 1.48, Confidence Interval, CI 1.25–1.74, p Nutritional adequacy was assessed in a subgroup of 273 (68%) patients who received MV for at least 48 hours. Median (IQR) nutritional adequacy was 0.44 (0.15–0.70). In patients with high mNUTRIC score (5–9), higher nutritional adequacy was associated with a lower predicted 28-day mortality; this was not observed in patients with low mNUTRIC (0–4) score (effect modification, p interaction Conclusion In a mixed Asian ICU population, mNUTRIC score is independently associated with 28-day mortality. Increased nutritional adequacy may reduce the 28-day mortality in patients with a high mNUTRIC score.

Gut microbiota data obtained by DNA sequencing are not only complex because of the number of taxa that may be detected within human cohorts, but also compositional because characteristics of the microbiota are described in relative terms (e.g., “relative abundance” of particular bacterial taxa expressed as a proportion of the total abundance of taxa). Nutrition researchers often use standard principal component analysis (PCA) to derive dietary patterns from complex food data, enabling each participant's diet to be described in terms of the extent to which it fits their cohort's dietary patterns. However, compositional PCA methods are not commonly used to describe patterns of microbiota in the way that dietary patterns are used to describe diets. This approach would be useful for identifying microbiota patterns that are associated with diet and body composition. The aim of this study is to use compositional PCA to describe gut microbiota profiles in 5 year old children and explore associations between microbiota profiles, diet, body mass index (BMI) z-score, and fat mass index (FMI) z-score. This study uses a cross-sectional data for 319 children who provided a faecal sample at 5 year of age. Their primary caregiver completed a 123-item quantitative food frequency questionnaire validated for foods of relevance to the gut microbiota. Body composition was determined using dual-energy x-ray absorptiometry, and BMI and FMI z-scores calculated. Compositional PCA identified and described gut microbiota profiles at the genus level, and profiles were examined in relation to diet and body size. Three gut microbiota profiles were found. Profile 1 (positive loadings on Blautia and Bifidobacterium; negative loadings on Bacteroides) was not related to diet or body size. Profile 2 (positive loadings on Bacteroides; negative loadings on uncultured Christensenellaceae and Ruminococcaceae) was associated with a lower BMI z-score (r = -0.16, P = 0.003). Profile 3 (positive loadings on Faecalibacterium, Eubacterium and Roseburia) was associated with higher intakes of fibre (r = 0.15, P = 0.007); total (r = 0.15, P = 0.009), and insoluble (r = 0.13, P = 0.021) non-starch polysaccharides; protein (r = 0.12, P = 0.036); meat (r = 0.15, P = 0.010); and nuts, seeds and legumes (r = 0.11, P = 0.047). Further regression analyses found that profile 2 and profile 3 were independently associated with BMI z-score and diet respectively. We encourage fellow researchers to use compositional PCA as a method for identifying further links between the gut, diet and obesity, and for developing the next generation of research in which the impact on body composition of dietary interventions that modify the gut microbiota is determined.

NOVA is a food classification system that categorises food items into one of four categories according to the extent and purpose of their processing: minimally processed food (MPF), processed culinary ingredient (PCI), processed food (PF), or ultra-processed food (UPF). The aim of this study was to determine the relative validity and reproducibility of a food frequency questionnaire (EAT5 FFQ) for measuring daily energy intake (EI kJ) and percentage of daily energy intake (EI%) from each NOVA group in New Zealand children. One hundred parents of five year old children completed the 123 item EAT5 FFQ on two occasions four weeks apart. A 3 day weighed diet record (WDR) was completed on non-consecutive randomly assigned days between FFQ appointments. The FFQ overestimated EI (both as kJ and %) from MPF and UPF, and underestimated intakes from PCI and PF, compared with the WDR. Bland&ndash, Altman plots indicated reasonably consistent agreement between FFQ and WDR for MPF and UPF but not PCI or PF. Correlation coefficients between the FFQ and WDR were acceptable for EI (%) for MPF (r = 0.31) and UPF (r = 0.30). The FFQ differentiated between the highest and lowest quartiles for EI (%) from MPF and UPF foods (p-values for the trends were 0.006 and 0.009 respectively), and for EI (kJ) from UPF foods (p-value for trend 0.003). Bland&ndash, Altman plots indicated consistent agreement between repeat administrations of FFQ for MPF and UPF only, while intra-class correlations suggested good reproducibility for EI (kJ and %) for all four NOVA categories (range 0.51&ndash, 0.76). The EAT5 FFQ has acceptable relative validity for ranking EI (%) from MPF and UPF. It has good reproducibility for measuring EI from all four NOVA categories, in young children.

Raman and attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy were used to analyze 208 breast milk samples as part of a larger research study. Comprehensive qualitative and quantitative analysis was carried out using chemometric methods: principal component analysis (PCA) and partial least squares (PLS) regression. The obtained information on the main macronutrients (protein, fat and carbohydrate) were primarily evaluated in relation to the available metadata of the samples, where study location and respective primary food sources revealed a stronger differentiation in fat composition than its absolute content. The limitations and challenges of using both spectroscopic techniques for the type of analysis are also highlighted., Graphical abstract Unlabelled Image, Highlights • Qualitative and quantitative Raman and IR spectroscopic analysis of macronutrients in 208 breast milk samples • Comprehensive spectral data analysis utilizing chemometric methods with included comparison to the available metadata • Limitations and challenges of using both spectroscopic techniques for the type of analysis were highlighted and addressed

Dietary fiber is an important nutrient for the gut microbiota, with different fiber fractions having different effects. The aim of this study was to determine the relative validity and reproducibility of a food frequency questionnaire (EAT5 FFQ) for measuring intake of fiber, and low and high fiber foods, in studies examining diet and gut microbiota in young children. One hundred parents of 5-year old children completed the 123-item EAT5 FFQ on two occasions four weeks apart. A 3-day weighed diet record (WDR) was completed on non-consecutive days between FFQ appointments. Mean correlations between the (randomly chosen) FFQ and WDR were acceptable for nutrient and food group intakes (r = 0.34 and r = 0.41 respectively). Gross misclassification was below chance (12.5%) for quartiles of nutrient (mean 5.7%) and food group (mean 5.1%) intake. &lsquo, Absolute values for surrogate categories&rsquo, suggested the FFQ clearly differentiated between highest and lowest quartiles for all nutrients and food groups tested. Mean correlations between repeat administrations of the FFQ suggested very good reproducibility for nutrients (r = 0.83) and food groups (r = 0.80). The EAT5 FFQ appears to be an appropriate tool for investigating the intake of nutrients and food groups of relevance to the gut microbiota, and is the first FFQ validated to measure total, soluble and insoluble non-starch polysaccharide intakes in young children.

The introduction of “solids” (i.e., complementary foods) to the milk-only diet in early infancy affects the development of the gut microbiota. The aim of this study was to determine whether a “baby-led” approach to complementary feeding that encourages the early introduction of an adult-type diet results in alterations of the gut microbiota composition compared to traditional spoon-feeding. The Baby-Led Introduction to SolidS (BLISS) study randomized 206 infants to BLISS (a modified version of baby-led weaning [BLW], the introduction of solids at 6 months of age, followed by self-feeding of family foods) or control (traditional spoon-feeding of purées) groups. Fecal microbiotas and 3-day weighed-diet records were analyzed for a subset of 74 infants at 7 and 12 months of age. The composition of the microbiota was determined by sequencing of 16S rRNA genes amplified by PCR from bulk DNA extracted from feces. Diet records were used to estimate food and dietary fiber intake. Alpha diversity (number of operational taxonomic units [OTUs]) was significantly lower in BLISS infants at 12 months of age (difference [95% confidence interval {CI}] of 31 OTUs [3.4 to 58.5]; P = 0.028), and while there were no significant differences between control and BLISS infants in relative abundances of Bifidobacteriaceae, Enterobacteriaceae, Veillonellaceae, Bacteroidaceae, Erysipelotrichaceae, Lachnospiraceae, or Ruminococcaceae at 7 or 12 months of age, OTUs representing the genus Roseburia were less prevalent in BLISS microbiotas at 12 months. Mediation models demonstrated that the intake of “fruit and vegetables” and “dietary fiber” explained 29% and 25%, respectively, of the relationship between group (BLISS versus control) and alpha diversity. IMPORTANCE The introduction of solid foods (complementary feeding or weaning) to infants leads to more-complex compositions of microbial communities (microbiota or microbiome) in the gut. In baby-led weaning (BLW), infants are given only finger foods that they can pick up and feed themselves—there is no parental spoon-feeding of puréed baby foods—and infants are encouraged to eat family meals. BLW is a new approach to infant feeding that is increasing in popularity in the United States, New Zealand, the United Kingdom, and Canada. We used mediation modeling, commonly used in health research but not in microbiota studies until now, to identify particular dietary components that affected the development of the infant gut microbiota.

Taste perception plays a key role in consumer acceptance and food choice, which has an important impact on human health. Our aim was to examine the relationship between recognition thresholds for five basic tastes (sweet, salty, sour, bitter, and umami) in Chinese and Indians in relation to their dietary intake.This cross-sectional study included 114 subjects (60 Chinese, 54 Indians). Taste thresholds were determined using a forced choice method and dietary intakes were assessed using an estimated three-day food diary.Indians had significantly higher recognition thresholds for sweet, salty, sour, umami and bitter tastes compared to Chinese (all p0.047). Overall energy intake was not significantly different between the Chinese and Indians. Correlations between taste and diet between the Chinese and Indians were not significant (p0.05).Future work is needed to further understand how differences in taste perception may influence dietary intakes between ethnic groups.

The structural properties of foods have a functional role to play in oral processing behaviours and sensory perception, and also impact on meal size and the experience of fullness. This study adopted a new approach by using behavioural coding analysis of eating behaviours to explore how a range of food textures manifest as the microstructural properties of eating and expectations of fullness. A selection of 47 Asian foods were served in fixed quantities to a panel of participants (N = 12) and their eating behaviours were captured via web-camera recordings. Behavioural coding analysis was completed on the recordings to extract total bites, chews and swallows and cumulative time of the food spent in the mouth. From these measurements a series of microstructural properties including average bite size (g), chews per bite, oro-sensory exposure time (seconds) and average eating rate (g min-1) were derived per food. The sensory and macronutrient properties of each food were correlated with the microstructure of eating to compare the differences in eating behaviour on a gram for gram basis. There were strong relationships between the perceived food textural properties and its eating behaviours and a food's total water content was the best predictor of its eating rate. Foods that were eaten at a slower eating rate, with smaller bites and more chews per bite were rated as higher in the expected fullness. These relationships are important as oral processing behaviours and beliefs about the potential satiating value of food influence portion decisions and moderate meal size. These data support the idea that naturally occurring differences in the food structure and texture could be used to design meals that slow the rate of eating and maximise fullness.

A strong predictor of children's food intake at a meal is the amount they are served, and with a high percentage children attending preschool, there is a need to consider the relationship between portion size and intake in this context. In a two-part repeated measures study we investigated whether the portions teachers serve to children i) differ from those children would serve themselves and ii) impact food intake at a local preschool in Singapore. Part 1 (n = 37, 20 boys, 3.0–6.8 years) compared the quantity of food served, consumed and leftover across three serving methods: ‘regular’ teacher-serving; child self-served portions; and a deliberately large portion served by the teacher (150% of each child's average previous gram intake). Part 2 (n = 44, 23 boys, 2.4–6.2 years old) consisted of three additional observations of school-based servings outside of the experimental manipulation and enhance external validity of the study findings. Results indicated that serving size and intake was similar when the children and teachers served their ‘regular’ portions, but children consumed most overall when the teacher served the larger 150% portion. This was dependent on the child's age, with the oldest children being most responsive to the large portions while the youngest children tended to serve and consume a similar weight of food, regardless of the serving method. Though the younger children were generally served less than the older children, they consistently had more leftovers across all of the study observations. These data suggest that younger preschool children moderated food intake by leaving food in their bowl, and emphasise the unique influence of caregivers over children's eating behaviours outside of the home environment.

Background: Large portions and high dietary energy density promote overconsumption at meal times. This could be reduced by eating slowly. Objective: Two studies investigated whether texture-based reductions in eating rate and oral processing moderate consumption at breakfast in combination with variations in energy density and portion size. Methods: Adults attended 4 breakfast sessions (2 3 2 repeated-measures design) to consume rice porridge, combining a 45% reduction in eating rate [thin porridge (140 g/min) compared with thick porridge (77 g/min)] with a 77% increase in energy density (0.57 compared with 1.01 kcal/g) in study 1 [n = 61; aged 21-48 y; body mass index (BMI; in kg/m2): 16-29] and a 50% increase in portion size (100% compared with 150%) in study 2 (n = 53; aged 21-42 y; BMI: 16-29). Oral processing behaviors were coded by using webcams. Porridge intake was measured alongside changes in rated appetite. Results: Increases in energy density and portion size led to increases of 80% and 13% in energy intake at breakfast, respectively (P < 0.001), but only portion size increased the weight of food consumed (13%). The thicker porridges were consumed at a slower rate and led to 11-13% reductions in food weight and energy intake compared with the thin versions (P < 0.001). Combined, the least energy was consumed when the thick ''slow'' porridge was served with a lower energy density or smaller portion (P < 0.05). Although intake was reduced for the thick porridges, they were expected to be more filling than the thin versions and experienced as equally satiating postconsumption. Conclusions: Adults eat in response to external features of the food environment. An opportunity exists to use a combination of energy-density dilution, smaller portions, and natural variations in food texture to design meals that promote reductions in energy intake while maintaining satiety.

Background: Traditional nutrition scoring cannot be applied in Intensive care units (ICU).NUTRIC (NUTrition RIsk in Critically ill) score is an ICU-specific nutrition risk assessment which has not been validated in Asian patients. Setting: Observational study in a university-affiliated tertiary hospital during October913-September914 with adult patients staying more than 24hours in medical ICU. Methods: Demographics, body mass index (BMI), mechanical ventilation (MV), vasopressor use, renal replacement therapy (RRT) and components of NUTRIC score (except interleukin 6) were obtained from ICU database. We calculated nutritional adequacy (calorie received/calorie recommended) during MV (maximum 12days) from nasogastric tube or parenteral feeding data. Results: 401 patients (male 62%, mean age 60±16.3years, mean BMI 23.9±6.2kg/m 2 ) were included. In univariate analysis BMI, modified NUTRIC (mNUTRIC) score, MV, vasopressor use and RRT were associated with 28day mortality. Patients on MV (273,68%) had median nutritional adequacy of 0.44(IQR 0.15-0.70). Effect modification between low vs high mNUTRIC score is shown. Conclusion: In an Asian ICU population, mNUTRIC score is independently associated with 28day mortality. Increased nutritional adequacy may improve predicted 28day mortality in high mNUTRIC group.

Background Obesity has long been highlighted for its association with increased incidence of cardiovascular disease (CVD). Nonetheless, the best adiposity indices to evaluate the CVD risk factors remain contentious and few studies have been performed in Asian populations. In the present study, we compared the association strength of percent body fat (PBF) to indirect anthropometric measures of general adiposity (body mass index (BMI) and body adiposity index (BAI)) and central adiposity (waist circumference (WC), and waist-to-hip ratio (WHR)) for the prediction of CVD risk factors in healthy men and women living in Singapore. Methods A total of 125 individuals (63 men and 62 women) took part in this study. PBF was measured by using three different techniques, including bioelectrical impedance analysis (BIA), BOD POD, and dual-energy X-ray absorptiometry (DEXA). Anthropometric measurements (WC, hip circumference (HC), height, and weight), fasting blood glucose (FBG), fasting serum insulin (FSI), and lipid profiles were determined according to standard protocols. Correlations of anthropometric measurements and PBF with CVD risk factors were compared. Results Irrespective of the measuring techniques, PBF showed strong positive correlations with FSI, HOMA-IR, TC/HDL, TG/HDL, and LDL/HDL in both genders. While PBF was highly correlated with FBG, SBP, and DBP in females, no significant relationships were observed in males. Amongst the five anthropometric measures of adiposity, BAI was the best predictor for CVD risk factors in female participants (r = 0.593 for HOMA-IR, r = 0.542 for TG/HDL, r = 0.474 for SBP, and r = 0.448 for DBP). For males, the combination of WC (r = 0.629 for HOMA-IR, and r = 0.446 for TG/HDL) and WHR (r = 0.352 for SBP, and r = 0.366 for DBP) had the best correlation with CVD risk factors. Conclusion Measurement of PBF does not outperform the simple anthropometric measurements of obesity, i.e. BAI, WC, and WHR, in the prediction of CVD risk factors in healthy Asian adults. While measures of central adiposity (WC and WHR) tend to show stronger associations with CVD risk factors in males, measures of general adiposity (BAI) seems to be the best predictor in females. The gender differences in the association between adiposity indices and CVD risk factors may relate to different body fat distribution in males and females living in Singapore. These results may find further clinical utility to identify patients with CVD risk factors in a more efficient way. Electronic supplementary material The online version of this article (doi:10.1186/s40608-016-0114-4) contains supplementary material, which is available to authorized users.

Despite growing international interest in Baby-Led Weaning (BLW), we know almost nothing about food and nutrient intake in infants following baby-led approaches to infant feeding. The aim of this paper was to determine the impact of modified BLW (i.e., Baby-Led Introduction to SolidS, BLISS) on food and nutrient intake at 7&ndash, 24 months of age. Two hundred and six women recruited in late pregnancy were randomized to Control (n = 101) or BLISS (n = 105) groups. All participants received standard well-child care. BLISS participants also received lactation consultant support to six months, and educational sessions about BLISS (5.5, 7, and 9 months). Three-day weighed diet records were collected for the infants (7, 12, and 24 months). Compared to the Control group, BLISS infants consumed more sodium (percent difference, 95% CI: 35%, 19% to 54%) and fat (6%, 1% to 11%) at 7 months, and less saturated fat (&minus, 7%, &minus, 14% to &minus, 0.4%) at 12 months. No differences were apparent at 24 months of age but the majority of infants from both groups had excessive intakes of sodium (68% of children) and added sugars (75% of children). Overall, BLISS appears to result in a diet that is as nutritionally adequate as traditional spoon-feeding, and may address some concerns about the nutritional adequacy of unmodified BLW. However, BLISS and Control infants both had high intakes of sodium and added sugars by 24 months that are concerning.

No nutrition assessment tools specifically tailored for intensive care unit (ICU) patients have been developed and validated in Singapore. Studies conducted in Brazilian populations suggest that the thickness of the adductor pollicis muscle (TAPM) may be used to assess nutritional status and predict mortality of critically ill patients. The aim of this study was to determine if TAPM can be used as a predictive indicator of mortality in Singapore ICU patients. TAPM values were obtained using skinfold calipers in 229 patients admitted to the medical ICU. TAPM measured in both hands showed no significant correlation with either the primary outcome (28-day mortality) or secondary outcomes (hospital outcome and hospital length of stay). This study demonstrated that TAPM does not predict 28-day mortality and hospital outcome, and is not correlated to length of stay in Singapore ICU patients. More studies are necessary to validate the use of TAPM as an anthropometric indicator of ICU outcome in other regions of the world.在新加坡，尚未有針對加護病房病人量身打造的營養評估工具被發展或驗 證。巴西族群研究，建議內收拇肌（TAPM）的厚度可用於評估重症疾病病人 的營養狀況，及預測死亡風險。本研究目的為評估TAPM 是否可作為新加坡 加護病房病人的死亡預測指標。使用皮脂測量儀，收集229 名在醫療加護病 房的病人其TAPM。雙手的TAPM 測量值與主要結果（28 天死亡率），或次 要結果（住院結果及住院天數）均未達顯著相關。本研究證實TAPM 無法預 測新加坡加護病房病人的28 天死亡率及住院結果，與住院天數也無關。需要 更多研究，才能驗證TAPM 是否可在世界的其他區域當作加護病房結果的體 位測量指標。.

Most diets worldwide are composed of high carbohydrate foods. Their consumption is associated with a rapid rise in blood glucose. The potential role that the degree of saturation of fatty acids may have in glycaemic response forms the basis of this paper. The addition of butter, olive oil or grapeseed oil significantly reduced the glycaemic index of white bread (white bread GI = 71; bread + butter GI = 53, bread + grapeseed oil GI = 58; bread+ olive oil GI = 50. The addition of olive oil had the greatest impact on GI. Olive oil has been widely recommended for its impact on blood lipids and cholesterol. Olive oil's influence on glycaemic response spawns a new line of research that should examine the role of lipids in carbohydrate metabolism.