Differences In Energy Content Research Articles

Evaluation of the Nutritional Quality of Chinese Processed Meat Products: Comparison of Two Nutrient Profile Models.

Processed meat products are one of the most consumed pre-packaged foods in China. They are also group-1 carcinogens, whose consumption has proved to be positively associated with the risk of noncommunicable diseases (NCDs). The purpose of this study is to analyze the nutrient content on the food label of processed meat products based on the China Standardized Database for the Composition of Pre-packaged Food and the National Open Database of the UK and France. The Chilean front-of-pack warning label (FOPWL) and the Chinese Healthier Choice Logo were used to compare the nutrient content of processed meat products from the three countries. It was found that cured meat products have the highest median energy (483 kcal/100 g), total fat content (38.7 g/100 g), and sodium content (2076 mg/100 g) and dried meat products have the highest median protein content (30.2 g/100 g) and carbohydrate content (38.2 g/100 g). In addition, there were significant differences in energy content and contents of total fat, protein, and carbohydrate across different products of the three countries (p < 0.001). A large number of processed meat products currently collected did not meet the criteria of the Chilean FOPWL and the Chinese Healthier Choice Logo. This study provided information on the healthiness of Chinese processed meat products and provided data for improving food formulations for different categories of processed meat products.

Coastal degradation impacts on green turtle's (Chelonia mydas) diet in southeastern Brazil: Nutritional richness and health

This study evaluated the influence of environmental degradation on the nutritional value of the main marine macrophytes consumed by green sea turtles (Chelonia mydas) in areas with different degrees of urbanization. Macrophyte assemblages in the highly urbanized area (HUa) showed lower richness compared to the lightly urbanized area (LUa) (Mann-Whitney U test: 10.0 ± 3.6 SD genera and 11.9 ± 4.2 taxa per transect vs. 20.1 ± 7.0 genera and 23.5 ± 9.2 taxa per transect) respectively. Also, diet was poorer with 4.0 ± 1.6 genera per turtle (vs. 8.5 ± 4.0 in HUa) and less diverse with Shannon index of diversity = 0.45 ± 0.29 (vs. 0.64 ± 0.46 in LUa). Body condition was similar in both areas. About half of individuals were classified as having normal body condition, 14–15% as underweight and 23–34% as being emaciated. Fibropapillomatosis prevalence (χ2 = 8.720; n = 222; df = 1; p = 0.003) was higher in the HUa but, in affected animals, severity was marginally non-significant (χ2 = 5.721; n = 82; df = 2; p = 0.057). Significant differences in energy content (kcal) were detected between areas in both summer (S) and winter (W). All ANOVAs on total lipids (F = 22.15 [S] and 30.39 [W]), total water-soluble proteins (F = 327.65 [S] and 64.42 [W]) and total carbohydrates (F = 70.90 [S] and 27.62 [W]) showed high significance (p < 0.001). Carotenoids concentration yielded significant results for Halodule in summer and Hypnea in winter (ANOVAs, F = 39.42 and 13.07, respectively). For both, tests revealed that concentration was higher in LUa than HUa. High levels of phycobiliproteins and proteins in this area probably reflect nitrogen accumulation. Frequency and severity of fibropapillomatosis suggest that urbanization-caused alterations in species diversity and in chemical composition of marine plants affect green turtles' health. Light abstractThe use of coastal areas by humanity is widespread and increasing. The impacts caused to the coastal environment, be it terrestrial, estuarine or marine, are important and affect numerous species. Our study evaluated the influence of environmental degradation on the nutritional value of the main algae eaten by the green turtle, one of the very few marine megaherbivores (those herbivores with body mass above 10 kg). Diet in the highly urbanized area was richer in proteins, lipids and carbohydrates (sugars) and lower in carotenoids (photosynthetic and photoprotectant pigments in algae and plants; precursors of vitamin A involved in oxygen transport in animals—animals do not synthetize such molecules). High levels in phycobiliproteins (photosynthetic pigments present in some algae) and proteins in the highly urbanized area probably result from organic pollution and nitrogen accumulation in coastal waters. Nitrogen compounds dissolved in water are a threat to vertebrates due to its toxicity and negative effects on the immune system. Our results suggest that algae chemical composition and severity of fibropapillomatosis (tumors caused by a herpesvirus in green sea turtles) are directly related through environmental alterations caused by urbanization.

Coingestion of Carbohydrate and Protein on Muscle Glycogen Synthesis after Exercise: A Meta-analysis.

Evidence suggests that carbohydrate and protein (CHO-PRO) ingestion after exercise enhances muscle glycogen repletion to a greater extent than carbohydrate (CHO) alone. However, there is no consensus at this point, and results across studies are mixed, which may be attributable to differences in energy content and carbohydrate intake relative to body mass consumed after exercise. The purpose of this study was determine the overall effects of CHO-PRO and the independent effects of energy and relative carbohydrate content of CHO-PRO supplementation on postexercise muscle glycogen synthesis compared with CHO alone. Meta-analysis was conducted on crossover studies assessing the influence of CHO-PRO compared with CHO alone on postexercise muscle glycogen synthesis. Studies were identified in a systematic review from PubMed and Cochrane Library databases. Data are presented as effect size (95% confidence interval [CI]) using Hedges' g. Subgroup analyses were conducted to evaluate effects of isocaloric and nonisocaloric energy content and dichotomized by median relative carbohydrate (high, ≥0.8 g·kg-1⋅h-1; low, <0.8 g·kg-1⋅h-1) content on glycogen synthesis. Twenty studies were included in the analysis. CHO-PRO had no overall effect on glycogen synthesis (0.13, 95% CI = -0.04 to 0.29) compared with CHO. Subgroup analysis found that CHO-PRO had a positive effect (0.26, 95% CI = 0.04-0.49) on glycogen synthesis when the combined intervention provided more energy than CHO. Glycogen synthesis was not significant (-0.05, 95% CI = -0.23 to 0.13) in CHO-PRO compared with CON when matched for energy content. There was no statistical difference of CHO-PRO on glycogen synthesis in high (0.07, 95% CI = -0.11 to 0.22) or low (0.21, 95% CI = -0.08 to 0.50) carbohydrate content compared with CHO. Glycogen synthesis rates are enhanced when CHO-PRO are coingested after exercise compared with CHO only when the added energy of protein is consumed in addition to, not in place of, carbohydrate.

Effects of exchanging lactose for fat in milk replacer on ad libitum feed intake and growth performance in dairy calves

The recent trend in the dairy industry toward ad libitum feeding of young calves merits reconsideration of calf milk replacer (CMR) formulations. Additionally, feed intake regulation in young calves provided with ad libitum milk and solid feeds is insufficiently understood. This study was designed to determine the effect of exchanging lactose for fat in CMR on voluntary feed intake and growth performance. Lactose was exchanged for fat on a weight/weight basis, resulting in different energy contents per kilogram of CMR. Thirty-two male calves (1.7 ± 0.12 d of age, 47.6 ± 0.83 kg of body weight) were assigned to 1 of 16 blocks based on arrival date. Within each block, calves were randomly assigned to 1 of 2 treatments. The experimental period was divided into 4 periods. In period 1, until 14 ± 1.7 d of age, calves were individually housed, restricted-fed their assigned CMR treatments at 2.5 to 3 L twice daily, and provided with unlimited access to water, chopped straw, and starter. In period 2, calves were group-housed with 8 calves per pen and received ad libitum access to their assigned CMR treatments, starter feed, chopped wheat straw, and water. During period 3, from 43 until 63 d of age, calves were weaned by restricting CMR allowance in 2 steps, maintaining access to all other feeds. All calves were completely weaned at d 64 of age and were monitored until 77 d of age (period 4). Measurements included the intake of all dietary components, body weight gain, and a selection of blood traits. Increasing fat content at the expense of lactose decreased CMR intake by 10%, whereas total calculated metabolizable energy intake and growth remained equal between treatments. Total solid feed (starter and straw) consumption was not affected by CMR composition. These data indicate that calves fed ad libitum regulate their CMR intake based on energy content. High-fat CMR increased plasma phosphate, nonesterified fatty acids, triglycerides, and bilirubin, whereas plasma glucose remained unchanged. Despite the limited animal numbers in the present experiment, there was a significant decrease in the total number of health events (mainly respiratory) requiring therapeutic intervention and in the total number of therapeutic interventions in calves fed high-fat CMR. Calves appeared to consume CMR based on energy content, with a difference in ad libitum intake proportional to the difference in energy content of the CMR, maintaining equal body weight gain and solid feed intake.

An Investigation into the Effects of Stevia on food intake, satiety and blood glucose levels in adults: a small-scale study

AbstractNon-nutritive sweeteners (NNS) are suggested to reduce sugar and energy content of diet, but there is growing evidence that they can exacerbate obesity and diabetes through increasing appetite and energy intake. Stevia (stevioside extract), a natural sweetener, is being increasingly consumed, yet limited studies have looked at their effects on satiety and energy intake. The aim of this study is to investigate the effects of preloads of stevia on food intake, satiety and postprandial blood glucose levels when compared to water and sugar. Thirty participants (10 males/20 females; 26 ± 10.5 years; BMI: 23.44 ± 3.42 Kg/m2) took part in a three-arm single-blinded crossover trial. On separate test days, they received three different preloads (300 ml) containing water, sugar (60g) and stevia (1g) followed by an ad-libitum pizza lunch after 30 minutes. Breakfast was standardized. Blood glucose samples were collected before preload and lunch, and then at 30-minute intervals until 120 min post lunch. Volunteers recorded their feelings of satiety and hunger on visual analogue scales (VAS) before preload and after meal intake. A one-day diet diary was collected for each test day. Data was analysed using repeated measures ANOVA (SPSS Inc., Chicago, IL, USA). Despite the difference in energy content between preloads, there were no significant differences in energy intake at lunch between the three interventions (F (2, 56) = 0.25, p = 0.78). Furthermore, participants did not compensate by consuming more energy during the day after the stevia preload (1660 ± 584 Kcal) compared to sugar preload (1770 ± 763 Kcal, p = 0.82). There were no significant differences in VAS scores between stevia and sugar preloads, but participants scored significantly higher rates of hunger (before and after lunch) and desire to eat (before lunch) following water preload (p &lt; 0.05). No significant differences between water, sugar and stevia were noted for postprandial glucose levels (120 min post lunch) when adjusted from baseline (F (2, 58) = 2.56, p = 0.09). Area under the curve (AUC) for glucose did not differ between water and stevia (p = 0.2). Results are in line with several clinical trials showing that the consumption of sweeteners does not lead to an increase in hunger and energy intake, and could therefore present a useful strategy to assist with weight loss. Further studies looking at long-term effects of stevia on weight regulation are needed to support these findings.

Choosing or rejecting a food item, does framing matter? And what has sugar to do with it!

The color code of “Traffic Light Labels” (TLL) on food items indicates the amount (e.g., green = low) of fat, saturates, sugar and salt it contains. Consider two ways to select among food items (e.g., two cereal bars) based on their TLLs. You might choose between the two items or you might reject one of the two. Furthermore, differences between choose and reject might be driven more strongly by one factor (e.g., sugar) than by others. In Study 1 our participants made choose or reject decisions between food items with an all-orange TLL (all moderate) and a 2 red/2 green TLL (2 negative/2 positive). Both items had equal energy/caloric content. We found that, independent of the condition (Choose/Reject), participants went home more often with the 2 red/2 green item if sugar was green. This effect was stronger in the Choose than in the Reject condition. In Study 2, we additionally manipulated the energy content (low, high) of the items. In the case where both food items had a low energy content, similar results as in Study 1 were observed. If either or both items had high energy content, the choose/reject interaction with sugar disappeared. Only differences in energy content played a role in the reject condition. Overall, our results can be better explained by an “accentuation hypothesis” than by a “compatibility hypothesis”. These findings could be used by choice architects to fight the current obesity crisis.

Neural correlates of the energetic value of food during visual processing and response inhibition

Previous research showed that human brain regions involved in reward and cognitive control are responsive to visually presented food stimuli, in particular high-energy foods. However, it is still to be determined whether the preference towards high-energy foods depends on their higher energy density (kcal/gram), or is based on the difference in energy content of the food items (total amount of kcal). Here we report the results of an fMRI study in which normal-weight healthy participants processed food images during a one-back task or were required to inhibit their response towards food stimuli during a Go/No-Go task. High-energy density (HD) and low-energy density (LD) foods were matched for energy content displayed. Food-related kitchen objects (OBJ) were used as control stimuli. The lateral occipital complex and the orbitofrontal cortex showed consistent higher activity in response to HD than LD foods, both during visual processing and response inhibition. This result suggests that images of HD foods, even when the amount of food shown is not associated with a higher energy content, elicit preferential visual processing - possibly involving attentional processes - and trigger a response from the reward system. We conclude that the human brain is able to distinguish food energy densities of food items during both active visual processing and response inhibition.

Digestibility and net energy prediction of rice by products determined with piglets

ABSTRACT: The aim of this study was to determine the chemical composition, digestibility, and net energy (NE) of broken rice (BRR), stabilized rice bran (SRB), and parboiled rice bran (PRB) for piglets. Two digestibility trials were performed with 12 and 18 male pigs with initial weights of 8 and 16kg, respectively. We performed total fecal collection using ferric oxide as fecal marker. The digestibility coefficients of organic matter, crude protein, and gross energy were higher (P&lt;0.001) for the BRR compared to the SRB and PRB. The PRB presented a digestible energy 2% lower than that of BR and 5% higher than that of SRB. For BRR, average NE value was 3,228kcal/kg dry matter (DM), and the difference between the lower and higher value was 311kcal/kg DM. Average NE values of SRB and PRB were 2,896 and 3,293kcal/kgDM, respectively. The difference between the energy predicted by each equation reached 190kcal/kgDM for SRB and 285kcal/kgDM for PRB. In conclusion, BRR showed higher nutrient digestibility coefficients, except for EE and GE, which can be attributed to differences in the production processes. Regardless of the type of feedstuff tested, equations to predict NE values should be used carefully due to considerable differences in energy content.

Monitoring the changes to the nutrient composition of fast foods following the introduction of menu labelling in New South Wales, Australia: an observational study.

The present study examined the energy (kilojoule) content of Australian fast-food menu items over seven years, before and after introduction of menu board labelling, to determine the impact of the introduction of the legislation. Analysis of the median energy contents per serving and per 100g of fast-food menu items. Change in energy content of menu items across the years surveyed and differences in energy content of standard and limited-time only menu items were analysed. Five of Australia's largest fast food chains: Hungry Jack's, KFC, McDonald's, Oporto and Red Rooster. All standard and limited-time only menu items available at each fast-food chain, collected annually for seven years, 2009-2015. Although some fast-food chains/menu item categories had significant increases in the energy contents of their menus at some time points during the 7-year period, overall there were no significant or systematic decreases in energy following the introduction of menu labelling (P=0·19 by +17 kJ/100 g, P=0·83 by +8 kJ/serving). Limited-time only items were significantly higher in median energy content per 100 g than standard menu items (+74 kJ/100 g, P=0·002). While reformulation across the entire Australian fast-food supply has the potential to positively influence population nutrient intake, the introduction of menu labelling legislation in New South Wales, Australia did not lead to reduced energy contents across the five fast-food chains. To encourage widespread reformulation by the fast-food industry and enhance the impact of labelling legislation, the government should work with industry to set targets for reformulation of nutrient content.

The importance of the nutritive value of old bones in the diet of Bearded vultures Gypaetus barbatus

Vultures are central-place foragers and need to optimize their foraging behaviour to offset travel costs by increasing their energy gain. This process is more obvious in certain vulture species that do not feed their young by regurgitation and so must carry food items back to the nest. The Bearded Vulture Gypaetus barbatus is the only species with a bone-diet based. We analysed the chemical composition of bones and the age-related changes in their nutritive value to assess the differences in energy content between bones of differing age, body part and species. We found differences between specific anatomical parts, species and the age of the bones. Fresh bones contain 108% as much energy as fresh meat and, interestingly, dry bones retain 90% of the protein found in fresh bones. Dry femurs weighing 140 g retain enough protein to be comparable to 111 g of fresh meat, in energy terms. Compared to meat-eating species, the specialized osteophagous diet of the Bearded Vulture seems to have certain advantages. A better understanding of nutrient levels in food remains could help to improve theoretical foraging models, assist in conservation management, and even improve our understanding of the use of bones by early hominids.

Effects of energy supplementation on energy losses and nitrogen balance of steers fed green-chopped wheat pasture I: Calorimetry123

Cattle grazing wheat pasture in the southern Great Plains are sometimes fed an energy supplement; however, the benefits of supplementation on nutrient balance, energy metabolism, and greenhouse gas emissions have not been elucidated. Therefore, we used 10 British crossbred steers (206 ± 10.7 kg initial BW) in a respiration calorimetry study to evaluate the effects of energy supplementation on energy losses, N balance, and nutrient digestibility of steers fed green-chopped wheat forage. The study design was an incomplete replicated 4 × 4 Latin square with treatments in a 2 × 2 factorial arrangement. Steers ( = 8) were assigned to 1 of 2 BW blocks (4 steers per block) with dietary factors consisting of 1) no supplementation (CON) or supplemented with a steam-flaked corn-based energy supplement (that also contained monensin sodium) at 0.5% of BW daily (SUP) and 2) NEm intakes of 1 times (1x) or 1.5 times (1.5x) maintenance. Wheat forage was harvested daily and continuously fed as green-chop to steers during the 56-d study. There were no differences ( ≥ 0.32) between CON and SUP for OM (78.3 vs. 80.7%, respectively) or NDF (68.3 vs. 64.8%, respectively) digestibility. At the 1.5x level of intake, there was no difference ( ≥ 0.16) in energy lost in feces (4.27 vs. 3.92 Mcal/d) or urine (0.58 vs. 0.55 Mcal/d), heat production (8.69 vs. 8.44 Mcal/d), or retained energy (3.10 vs. 3.46 Mcal/d) between supplementation treatments. Oxygen consumption (1,777 vs. 1,731 L/d; = 0.67) and CO production (1,704 vs. 1,627 L/d; = 0.56) of CON and SUP steers, respectively, were not different; however, SUP steers tended to have ( = 0.06) lower CH production (115 vs 130 L/d) than CON steers. Methane, as a proportion of GE intake, was similar for CON (6.87%) and SUP (6.07%; = 0.18), as was the ME:DE ratio ( = 0.24; 86.3% for CON and 87.9% for SUP). Fractional N excretion in urine and feces, as a proportion of total N excreted ( ≥ 0.84) or N intake ( ≥ 0.63), was not different between treatments. Calculated NEm and NEg values for CON were 1.76 and 1.37 Mcal/kg DM, respectively, whereas the NEm and NEg values for the SUP treatment were 2.32 and 1.61 Mcal/kg DM, respectively. Calculated NE values for steers fed additional energy were approximately 17.5% greater than the expected difference in energy content. This was probably the result of the inconsistent response at the 1x DMI level. Under these circumstances, energy supplementation did appear to enhance NEm and NEg value of the supplemented wheat forage diet.

Novel Methodological Considerations Regarding the Use of Visual Analog Scale (VAS) Questionnaires to Assess Appetite Control and Satiety

BackgroundVAS questionnaires are commonly used in appetite research to measure postprandial changes in hunger and fullness as markers of subsequent food intake. The current prevalence of smartphone usage provides an opportunistic platform to assess these questions. However, little is known with respect to whether the repetitive use of these questionnaires influence eating behavior or whether novel modifications in their delivery are warranted.ObjectivesTo compare VAS appetite and satiety questionnaires delivered through a smartphone application vs. a commonly used computerized program and to test whether the use of these questionnaires alter subsequent eating behavior.MethodsTwelve healthy young adults (age: 22±1 y; BMI: 22.1±0.9 kg/m2) completed the following randomized crossover design study. On five separate days, the participants came to the facility between 7–9 am and were placed in a room that was void of all time cues. Within 30 min after arrival, they were provided with a 130 kcal preload breakfast containing 30 g protein. During four of the five testing days, the participants completed VAS questionnaires (hunger, fullness, desire to eat, prospective food consumption) every 30 min for 4h using the respective appetite applications (ScaleKit) on an iPod Touch (Apple; Cupertino, CA) or netbook computer application (AVAS; Neurobehavioral Research Laboratory and Clinic; San Antonio, TX). At the end of the 4h periods, the participants were provided with an ad libitum pasta meal to consume until ‘comfortably full.’ To examine the influence of VAS assessment on subsequent eating behavior, no questionnaires were provided over the 4h period on one of the five testing days.ResultsNo differences in 4h postprandial hunger, fullness, desire to eat, or prospective food consumption were observed between the smartphone application and the computer program. Additionally, no differences in energy content consumed at the subsequent eating occasions were observed between the days that included the VAS questionnaires (484 ± 50 kcal) vs. no questionnaires (500 ± 53 kcal).ConclusionsThe use of a newly developed VAS smartphone application provides similar measures of reported appetite and satiety compared to a previously validated computer program and the use of VAS questionnaires does not influence subsequent eating behavior.Support or Funding InformationInternal Funds

Effects of consuming different protein preloads on appetite, satiety, and subsequent food intake

BackgroundConsistent data from acute, single preload studies demonstrate improvements in perceived appetite and satiety following the consumption of high‐protein preloads compared to normal protein preloads. However, it is currently unclear as to whether protein quality (i.e., protein source) influences these outcomes.ObjectiveTo examine whether the consumption of protein preloads (egg white isolate, whey isolate, micellar casein, and instant egg white) differentially modulate postprandial hunger, fullness, desire to eat, prospective food consumption, eating initiation, and subsequent food intake.MethodsTwelve young adults (age: 22±1 y; BMI: 22.1±0.9 kg/m2) reported to the research facility between 7 – 9 am to complete each 4‐h testing day. A set of questionnaires assessing perceived hunger, fullness, desire to eat, prospective food consumption were completed followed by the consumption of the 130 kcal beverage preloads, varying in protein source. A water preload was also included as a control. The same set of questionnaires along with the assessment of whether they would like to eat again were completed every 30 min throughout the 4‐h postprandial period. After the 4‐h, the participants were given an ad libitum pasta meal to consume until ‘comfortably full.’ResultsThe consumption of the protein preloads improved hunger, fullness, desire to eat, prospective food consumption and delayed the request to eat again vs. the control (water); however, no differences in appetite and satiety outcomes were observed between protein sources. No differences in energy content at the lunch meal were observed between any preloads.ConclusionsWhen comparing high‐quality animal‐based proteins consumed as a beverage preload, relatively no differences in markers of appetite control and satiety were detected, suggesting that protein quality has little impact on these outcomes when consuming 30g of protein.Support or Funding InformationRembrandt Foods

Cross-over studies underestimate energy compensation: The example of sucrose-versus sucralose-containing drinks

The vast majority of preload-test-meal studies that have investigated the effects on energy intake of disguised nutrient or other food/drink ingredient manipulations have used a cross-over design. We argue that this design may underestimate the effect of the manipulation due to carry-over effects. To test this we conducted comparable cross-over (n = 69) and parallel-groups (n = 48) studies testing the effects of sucrose versus low-calorie sweetener (sucralose) in a drink preload on test-meal energy intake. The parallel-groups study included a baseline day in which only the test meal was consumed. Energy intake in that meal was used to control for individual differences in energy intake in the analysis of the effects of sucrose versus sucralose on energy intake on the test day. Consistent with our prediction, the effect of consuming sucrose on subsequent energy intake was greater when measured in the parallel-groups study than in the cross-over study (respectively 64% versus 36% compensation for the 162 kcal difference in energy content of the sucrose and sucralose drinks). We also included a water comparison group in the parallel-groups study (n = 24) and found that test-meal energy intake did not differ significantly between the water and sucralose conditions. Together, these results confirm that consumption of sucrose in a drink reduces subsequent energy intake, but by less than the energy content of the drink, whilst drink sweetness does not increase food energy intake. Crucially, though, the studies demonstrate that study design affects estimated energy compensation.

Impact of dose-response calorie reduction or supplementation of a covertly manipulated lunchtime meal on energy compensation

Numerous studies have examined energy compensation following overfeeding regimes whereas much less is known about the impact of acute underfeeding on energy compensation and fewer still have compared energy reduction and addition in the same group of individuals. This study compared the effects of consuming lunches with varying energy content (7.2-fold difference) on subsequent energy intake. A total of 27 healthy males took part in this randomized, crossover study with five treatments: 163kcal (very low energy meal, VLEM), 302kcal (low energy meal, LEM), 605kcal (control), 889kcal (high energy meal, HEM), and 1176kcal (very high energy meal, VHEM) served as a noodle soup. Participants were instructed to consume a standardized breakfast in the morning and they were provided with one of the five treatments for lunch on non-consecutive test day. Test lunches were matched for palatability, sensory properties, and volume. Participants were provided with an afternoon snack and ad libitum dinner on each test day and recorded food intake for the rest of the day. Appetite ratings were measured at regular intervals. As the energy content of treatments increased, participants' hunger, desire to eat, and prospective consumption decreased significantly whereas fullness increased significantly. However, no significant difference in subsequent meal intake was found between the treatments (P=0.458): 1003kcal VLEM, 1010kcal LEM, 1011kcal control, 940kcal HEM, and 919kcal VHEM. Total daily energy intake was statistically significantly different between the treatments (P<0.001) and was varied directly with the energy content of the lunchtime meal. Despite the large difference in energy content between the treatments, participants did not compensate for the “missing calories” or “additional calories” at subsequent meals. These results suggest that covertly manipulated, equally palatable, sensory and volume matched meals have the potential to promote either positive or negative energy balance if the effects seen in this single meal study are sustained.

The overall and fat composition of milk of various species

Milk, an essential source of offspring nourishment, varies in it’s composition and properties significantly across species. In human nutrition, fresh milk and dairy products are valuable sources of protein, fat and energy, and are an important part of daily meals. Most of the world’s milk production (85 %) comes from cows followed by buffaloes, goats, ewes, mares and donkeys. However milk related food allergies in infants may be a reason for health problems and may cause a decrease in milk. The objective of this paper was to give an overview of the overall composition of milk and fat from different species in comparison to women milk. Regarding the overall milk composition remarkable differences in energy content, fat, lactose, protein and ash of the various milks were found, but also some similarities among milk from ruminants and non-ruminants were detected. The structures of fat globule membranes were similar among non-ruminants and women milk, while the milk fat globule structure in ruminants differed significantly. The size of fat globules was significantly different between species and highly correlated to the milk fat content, regardless of the specie. The amount of triacylglycerols was notably higher, while the amount of free fatty acids and phospholipids was notably lower in milk from ruminants and women compared to milk from mares and donkeys. The triacylglycerol structure in women and non-ruminantsˈ was similar. The percentage of saturated and monounsaturated fatty acids was lower, while the unsaturated fatty acid content was higher in milk from non-ruminants, with a remarkably higher percentage of C-18:2 and C-18:3. The cholesterol content was similar in women and ruminantsˈ milk, but lower in that of non-ruminants. This review indicates that milk from non-ruminants could be more suitable for human nourishment than milk from ruminants.

Chemical composition, energy and amino acid digestibility in double-low rapeseed meal fed to growing pigs.

BackgroundThe nutritional value of rapeseed meal may be variable due to the variation of its chemical composition. And a precise understanding of the nutritional value of an ingredient is beneficial for the accurate diet formulation and reduction of feed costs. This study was conducted to determine the chemical composition, digestible energy (DE) and metabolizable energy (ME) content, and apparent ileal digestibility (AID) and standardized ileal digestibility (SID) of amino acids (AA) for growing pigs. Thirteen solvent-extracted double-low rapeseed meal (DLRSM) samples were obtained from the main double-low rapeseed producing areas in China.MethodsThe DE and ME contents of the 13 DLRSM samples were measured in growing pigs (six pigs per DLRSM sample, average initial body weight (BW) = 48.3 kg). The AID and SID of AA of 10 DLRSM samples were determined in 12 crossbred barrows (average initial BW = 35.3 kg) by using two 6 × 6 Latin square designs. Each Latin square comprised one N-free diet and 5 DLRSM test diets.ResultsThe chemical composition of DLRSM varied among samples, and the coefficient of variation was greater than 10 % for ether extract (EE), neutral detergent fiber (NDF), acid detergent fiber (ADF), calcium (Ca), and total glucosinolates. The AA content of DLRSM varied among samples especially for lysine (Lys) and methionine (Met). On a dry matter (DM) basis, the apparent total tract digestibility (ATTD) of gross energy (GE), the DE and ME and the ME:DE ratio of DLRSM averaged 62.39 %, 2862 kcal/kg and 2723 kcal/kg, and 94.95 %, respectively. The mean value of SID of Lys was 70.52 % which varied from 66.54–76.54 %. The SID of crude protein (CP), Met, and threonine (Thr) averaged 72.81 %, 82.41 %, and 69.76 %, respectively.ConclusionsThere was great variability in chemical composition especially in the concentration of EE, NDF and ADF, but no significant differences in energy content of the DLRSM samples were observed. In addition, the AID and SID of all AA were relatively similar among DLRSM samples except for that of Lys.

Foraging decisions of a native whelk, Trochia cingulata Linnaeus, and the effects of invasive mussels on prey choice

Biological invasions, which are occurring at an increasing rate, are recognised as major drivers of environmental change. Impacts from non-native species are particularly pertinent to species interactions, such as those between predators and prey. In this regard, impacts of invasive predators on their native prey have been widely examined, while the impacts of invasive prey on native predators have been largely overlooked. Here we investigate the impact of invasive mussel species on foraging decisions of a native predatory whelk, Trochia cingulata, on the West Coast of South Africa. This coastline has been subject to a number of mussel invasions, resulting in changes to intertidal communities and hence the foraging landscapes of mussel predators. We compared present day survey data with that from 30years ago and found significant changes in the mussel assemblage available to the whelk. The native mussel Choromytilus meridionalis was no longer present on the shore, and there were reduced abundances of the native Aulacomya atra. On the other hand there were increases in the invasive Mytilus galloprovincialis, with the detection of a second invader Semimytilus algosus. We then examined predation by whelks on the different mussel species in laboratory feeding trials. When presented with single prey species, whelks consumed greater numbers of the invasive M. galloprovincialis and S. algosus compared to A. atra, which was previously their preferred prey. Similarly when these mussels were provided in combination, greater numbers of the invasive species were consumed. Chemical cue trials indicated that whelks did not select prey based on chemical recognition, indicating that tactile stimulation was an important driver of prey choice. Although there was no overall difference in shell thickness at drilling sites among mussel species, drill holes were concentrated at the centre of the invasive mussel shells, while this was not observed in the native shells. No differences in energy content were found between mussel species, suggesting that whelks drilled in locations that maximised energy gain. Overall we found that native predatory whelks that previously preferentially consumed the native mussel had shifted their selection of prey towards the invasive species. Notably, familiarity with one invasive mussel appears to have facilitated the assimilation of a second morphologically similar invasive mussel into the diet of whelks.

A randomized controlled study of a healthy corner store initiative on the purchases of urban, low-income youth.

ObjectiveAlthough many initiatives exist to improve the availability of healthy foods in corner stores, few randomized trials have assessed their effects. This study evaluated, in a randomized, controlled trial, the effects of a first-generation healthy corner store intervention on students’ food and beverage purchases over a two-year period.Design and MethodsParticipants (n=767) were 4th-6th grade students. Ten schools and their nearby corner stores (n=24) were randomly assigned to the healthy corner store intervention or an assessment-only control. Intercept surveys directly assessed the nutritional characteristics of students’ corner store purchases at baseline, 1 and 2 years. Students’ weight and heights were measured at baseline, 1 and 2 years.ResultsThere were no differences in energy content per intercept purchased from control or intervention schools at year 1 (p=0.12) or 2 (p=0.58). There were no differences between control and intervention students in BMI-z score (year 1, p=0.83; year 2, p=0. 98) or obesity prevalence (year 1, p=0.96; year 2, p=0.58).ConclusionsA healthy corner store initiative did not result in significant changes in the energy content of corner store purchases or in continuous or categorical measures of obesity. These data will help to inform future interventions.

The effects of low-, medium-, and high-oil distillers dried grains with solubles on growth performance, nutrient digestibility, and fat quality in finishing pigs.

A total of 1,480 pigs were used in 3 experiments to determine the effects of corn distillers dried grains with solubles (DDGS) varying in oil content on growth performance, carcass traits, and nutrient digestibility in finishing pigs. In Exp. 1, 1,198 pigs (PIC Line 337 × 1050; initially 46.1 kg) were allotted to a corn-soybean meal-based diet or diets with 20 or 40% of a 5.4% oil DDGS (29.5% CP, 8.9% ADF, and 21.8% NDF; as-fed basis) or a 9.6% oil DDGS (29.6% CP, 15.3% ADF, and 28.6% NDF; as-fed basis). From d 0 to 82, ADG was unaffected by DDGS source or level. However, increasing 5.4% oil DDGS decreased (linear, P < 0.01) G:F, whereas G:F did not change among pigs fed 9.6% oil DDGS (DDGS source × level interaction; P < 0.01). Regardless of DDGS source, carcass yield and HCW decreased (linear, P < 0.04) with increasing DDGS. Increasing DDGS increased jowl iodine value (IV), but the magnitude was greater in pigs fed the 9.6% oil DDGS compared with those fed 5.4% oil DDGS (DDGS source × level interaction; P < 0.01). In Exp. 2, 270 pigs (PIC Line 327 × 1050; initially 46.5 kg) were allotted a corn-soybean meal-based diet or diets with 20 or 40% of a 9.4% oil DDGS (29.4% CP, 19.6% ADF, and 34.5% NDF; as-fed basis) or a 12.1% oil DDGS (28.5% CP, 17.6% ADF, and 31.4% NDF; as-fed basis). From d 0 to 75, ADG increased and then decreased for pigs fed 9.4% oil DDGS but was unchanged for pigs fed 12.1% oil DDGS (quadratic interaction, P < 0.02). Increasing DDGS increased (linear, P < 0.01) jowl IV and tended (linear, P < 0.07) to increase G:F. Regardless of source, HCW and carcass yield decreased (linear, P < 0.05) as DDGS increased. In Exp. 3, nutrient digestibility of the 4 DDGS sources was determined using pigs fed either a corn-based basal diet (96.6% corn and 3.4% vitamins and minerals) or a DDGS diet with 50% basal diet and 50% DDGS. On an as-fed basis, corn contained 3,871 and 3,515 kcal/kg GE and DE, respectively. The 5.4, 9.6, 9.4, and 12.1% oil DDGS contained 4,347, 4,648, 4,723, and 4,904 kcal/kg (as-fed basis) GE and 3,417, 3,690, 3,838, and 3,734 kcal/kg DE, respectively (as-fed basis). Stepwise regression indicated that the oil (ether extract) content was the only significant variable to explain differences in energy content. The equations generated to predict DE and NE as a function of oil content on an as-fed basis were DE (kcal/kg) = 62.347 × ether extract (%) + 3,058.13 (n = 5, adjusted R(2) = 0.41) and NE (kcal/kg) = 115.011 × ether extract (%) + 1,501.01 (n = 5, adjusted R(2) = 0.86).