Over the last two decades, levels of childhood overweight and obesity have increased considerably in Malaysia, such that the country now has the highest prevalence of obesity in Asia. The preschool years are a key time for establishing healthy behaviours; hence, there is a need for effective interventions aimed at early childhood. The ToyBox Study is an intervention to prevent obesity in preschoolers that has previously been conducted successfully in six different countries but to date not outside Europe. Therefore, we conducted a feasibility study to determine whether the ToyBox Study methodology could be successfully adapted and applied in Malaysia.

The ToyBox Study Malaysia was conducted in 15 kindergartens in Kuala Lumpur and suburbs in Selangor and 7 kindergartens in Sarawak (Borneo), Malaysia. All participating kindergartens were funded by Jabatan Kemajuan Masyarakat (KEMAS), the Community Development Department, Ministry of Rural and Regional Development.The existing ToyBox resources and questionnaires were translated into Bahasa Malaysia and the materials were adapted to suit local culture. Theory of change workshops and focus groups were conducted with parents, caregivers, teachers, cooks and government officers in order to help develop the implementation model. Train-the-trainer and teacher training sessions were organised before the study commenced.

The study was a randomised controlled trial that compared the ToyBox Study with kindergarten usual practice, over a period of one year. The ToyBox Study specifically targeted four energy balance related behaviours, namely; eating healthy snacks and meals, making water the preferred drink, increasing physical activity and reducing sedentary behaviour. Food frequency questionnaires were used to assess food intake. Accelerometry was used to measure physical activity. Weight, height and waist circumference were also measured. All measurements were made at baseline and post-intervention. Equipment such as soft mats and drinking water stations were supplied where needed. Parents, caregivers and teachers were provided with relevant materials, newsletters and tip cards and encouraged to participate and act as role models. They also completed project evaluation surveys.

If successful, it is envisaged that the ToyBox Study Malaysia will be adopted by other kindergartens in Malaysia, with the intention of helping Malaysian children and their families to achieve healthy energy balance related behaviours that will benefit their health and reduce obesity risk in the long-term.

Existing reviews suggest that milk and other dairy products do not play a role in the development of obesity in childhood, but they do make an important contribution to children’s nutrient intake. It is thus curious that public health advice on the consumption of dairy products for children is often perceived as unclear. The present review aimed to provide an overview of the totality of the evidence on the association between milk and other dairy products, and obesity and indicators of adiposity, in children. Our search identified forty-three cross-sectional studies, thirty-one longitudinal cohort studies and twenty randomised controlled trials. We found that milk and other dairy products are consistently found to be not associated, or inversely associated, with obesity and indicators of adiposity in children. Adjustment for energy intake tended to change inverse associations to neutral. Also, we found little evidence to suggest that the relationship varied by type of milk or dairy product, or age of the children, although there was a dearth of evidence for young children. Only nine of the ninety-four studies found a positive association between milk and other dairy products and body fatness. There may be some plausible mechanisms underlying the effect of milk and other dairy products on adiposity that influence energy and fat balance, possibly through fat absorption, appetite or metabolic activity of gut microbiota. In conclusion, there is little evidence to support a concern to limit the consumption of milk and other dairy products for children on the grounds that they may promote obesity.

Short sleep duration is associated with obesity in young children. This study develops the hypothesis that parental rules play a role in this association. Participants were 3-year-old children and their parents, recruited at nursery schools in socioeconomically deprived and non-deprived areas of a North-East England town. Parents were interviewed to assess their use of sleep, television-viewing and dietary rules, and given diaries to document their child's sleep for 4 days/5 nights. Children were measured for height, weight, waist circumference and triceps and subscapular skinfold thicknesses. One-hundred and eight families participated (84 with complete sleep data and 96 with complete body composition data). Parental rules were significantly associated together, were associated with longer night-time sleep and were more prevalent in the non-deprived-area compared with the deprived-area group. Television-viewing and dietary rules were associated with leaner body composition. Parental rules may in part confound the association between night-time sleep duration and obesity in young children, as rules cluster together across behavioural domains and are associated with both sleep duration and body composition. This hypothesis should be tested rigorously in large representative samples.

The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low-burden methods for assessing specific dietary and physical activity behaviours in adults. Short-term test–retest reliability of SNAPA™ was assessed in forty-four adults (age 41·4 (sd 17·3) years) who completed SNAPA™ twice in 1 day. Concurrent validity against direct dietary observation and combined heart rate and accelerometry was assessed in seventy-seven adults (age 34·4 (sd11·1) years). Test–retest reliability revealed no substantial systematic shifts in mean values of the outcome variables: percentage of food energy from fat (% fat), number of portions of fruit and vegetables (FV) and minutes of moderate-to-vigorous physical activity (MVPA). For lunchtime dietary intake, the mean match rate between food items reported using SNAPA™ and those observed was 81·7 %, with a phantom rate of 5·6 %. Pearson's correlations between SNAPA™ and the reference methods ranged from 0·27 to 0·56 for % fat, FV portions and minutes of MVPA. For % fat and FV intake, there was no fixed or proportional bias, and mean differences between the methods (SNAPA™ − reference) were 5·1 % and 0 portions, respectively. For minutes of MVPA, a fixed bias of − 28 min was revealed when compared with all minutes of MVPA measured by combined heart rate and accelerometry, whereas a proportional bias (slope 1·47) was revealed when compared with minutes carried out in bouts ≥ 10 min. SNAPA™ is a promising tool for measuring specific energy balance behaviours, though further work is required to improve accuracy for physical activity behaviours.

The aim of the present review was to perform a systematic in-depth review of the best evidence from controlled trial studies that have investigated the effects of nutrition, diet and dietary change on learning, education and performance in school-aged children (4–18 years) from the UK and other developed countries. The twenty-nine studies identified for the review examined the effects of breakfast consumption, sugar intake, fish oil and vitamin supplementation and ‘good diets’. In summary, the studies included in the present review suggest there is insufficient evidence to identify any effect of nutrition, diet and dietary change on learning, education or performance of school-aged children from the developed world. However, there is emerging evidence for the effects of certain fatty acids which appear to be a function of dose and time. Further research is required in settings of relevance to the UK and must be of high quality, representative of all populations, undertaken for longer durations and use universal validated measures of educational attainment. However, challenges in terms of interpreting the results of such studies within the context of factors such as family and community context, poverty, disease and the rate of individual maturation and neurodevelopment will remain. Whilst the importance of diet in educational attainment remains under investigation, the evidence for promotion of lower-fat, -salt and -sugar diets, high in fruits, vegetables and complex carbohydrates, as well as promotion of physical activity remains unequivocal in terms of health outcomes for all schoolchildren.

Self-report recall questionnaires used to measure physical activity and dietary intake in children can be labour intensive and monotonous and tend to focus on either dietary intake or physical activity. The web-based software, Synchronised Nutrition and Activity ProgramTM (SNAPTM), was developed to produce a novel, simple, quick and engaging method of assessing energy balance-related behaviours at a population level, combining principles from new and existing 24 h recall methodologies, set within a user-friendly interface. Dietary intake was measured using counts for twenty-one food groups and physical activity levels were measured in min of moderate to vigorous physical activity (MVPA). A combination of the mean difference between methods, type II regression and non-parametric limits of agreement techniques were used to examine the accuracy and precision of SNAPTM. Method comparison analyses demonstrated a good agreement for both dietary intake and physical activity behaviours. For dietary variables, accuracy of SNAPTM (mean difference) was within ± 1 count for the majority of food groups. The proportion of the sample with between-method agreement within ± 1 count ranged from 0·40 to 0·99. For min of MVPA, there was no substantial fixed or proportional bias, and a mean difference between methods (SNAPTM – accelerometry) of − 9 min. SNAPTM provides a quick, accurate, low-burden, cost-effective and engaging method of assessing energy balance behaviours at a population level. Tools such as SNAPTM, which exploit the popularity, privacy and engagement of the computer interface, and linkages with other datasets, could make a substantial contribution to future public health monitoring and research.

Diet is an important factor in the causation of cancer. Previous systematic reviews of one-to-one interventions to encourage dietary change have found that such interventions can achieve modest improvements in diet. However, such interventions are resource intensive and unlikely to be good value for money at a population level. Interventions that address groups, communities or whole populations may be less resource intensive and effect change in a wider population. We report a systematic review of such interventions. We set wide inclusion criteria, including before-and-after studies and studies with a non-randomized comparison group as well as randomized trials. We found eighteen studies based in the community, seventeen based on worksites, five based in churches and one based in a supermarket. Interventions which targeted fruit and vegetable intake were most likely to be successful, particularly in worksites and churches. There was also evidence of small positive effects on reducing fat intake in worksites and churches. Overall the community-based interventions showed little effect. The studies included in the present review were generally poorly reported. Dietary changes are reported in the relatively short-term studies reviewed here but may not be sustained in the long term. The effects that we have identified are small but the reach is potentially very wide, in some cases as wide as a whole country. The cost effectiveness of such strategies remains to be evaluated.

As a clinically-effective nutritionist faced with needing to find the answer to a clinical question quickly it is necessary to search the best evidence efficiently. The requirements are to: (1) avoid having lots of papers to read; (2) be able to access this information at one's place of work; (3) restrict reading to trials and systematic reviews of trials. If a decision has to be made while on the ward, the best resource is probably an easy-to-use book, Clinical Evidence. This resource is also available on-line, but there may not be access to the Internet on the ward. If a little more time is available, and access to the Internet, the following plan is suggested: (1) work out what the question is and highlight the search terms; (2) using the best search engine available, search MEDLINE from 1990 for titles and abstracts of papers containing the search terms, this is the search strategy (limit the search by publication type by requesting randomised controlled trials only, English language only and human only); (3) if more or less than approximately ten hits are obtained, alter the limits of the search (not the search strategy); (4) read the abstract, or full paper where available, of the relevant hits and appraise this evidence.

Consistent information on the non-milk extrinsic sugars (NMES) content of foods and the NMES intake by the population is required in order to allow comparisons between dietary surveys. A critical appraisal of methods of NMES estimation was conducted to investigate whether the different published methods for estimating the NMES content of foods lead to significantly different values for the dietary intake of NMES by children and to consider the relative practicality of each method. NMES values of foods were calculated using three different published descriptions of methods of NMES estimation, and the values were compared within food groups. Dietary intake values for English children aged 11–12 years were calculated using each method and compared in terms of overall NMES intake and the contribution of different food groups to NMES intake. There was no significant difference in the dietary intake of NMES in children between the method used in the National Diet and Nutrition Surveys (NDNS) (81·9 g/d; 95 % CI 79·0, 84·7) and a method developed by the Human Nutrition Research Centre (84·3 g/d; 95 % CI 81·4, 87·2) at Newcastle University, UK, although the latter gave slightly higher values. An earlier method used by the Ministry of Agriculture, Food and Fisheries gave significantly higher values than the other two methods (102·5 g/d; 95 % CI 99·3, 105·6; P<0·05). The method used in the NDNS surveys and the method used by the Human Nutrition Research Centre at Newcastle University are both thorough and detailed methods that give consistent results. However, the method used in the NDNS surveys was more straightforward to apply in practice and is the best method for a single uniform approach to the estimation of NMES.