scholarly journals Modelling the Association between Core and Discretionary Energy Intake in Adults with and without Obesity

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 683 ◽  
Author(s):  
Mackenzie Fong ◽  
Ang Li ◽  
Andrew Hill ◽  
Michelle Cunich ◽  
Michael Skilton ◽  
...  
Keyword(s):  
Energy Intake ◽  
Weight Control ◽  
Weight Status ◽  
Weight Maintenance ◽  
Dietary Guidelines ◽  
Healthy Weight ◽  
Dietary Recommendations ◽  
Food Diary ◽  
Core Energy ◽  
The Impact

Background: Many dietary recommendations for weight control rely on the assumption that greater core food intake will displace intake of energy-dense discretionary foods and beverages. However, there is little evidence to support these assumptions. This study examined the naturalistic relationship between daily core and discretionary energy intake, and with discretionary food and discretionary beverage intake, separately. The impact of weight status on these associations was also examined. Method: One hundred participants completed a four-day (non-consecutive) estimated food diary. Discretionary foods and beverages were identified by reference to the Australian Dietary Guidelines. Non-discretionary items were considered core items. Simultaneous-equation random effects models using disaggregated dietary data controlling for sociodemographic variables were used to determine the association between various dietary components. Result: Core energy intake correlated negatively with discretionary energy intake (cross-equation correlation, ρ = −0.49 (95% CI: −0.57, −0.39)). Its correlation with discretionary foods (−0.47 (−0.56, −0.37)) was stronger than that with discretionary beverages (−0.19 (−0.30, −0.07)) The correlation between core energy intake and discretionary energy intake was significantly stronger in participants who did not have obesity (−0.67 (−0.71, −0.50)) than those with obesity (−0.32 (−0.46, −0.17)) (p = 0.0002). Conclusions: Core and discretionary energy intake share an inverse and potentially bidirectional, relationship that appears to be stronger with discretionary foods than discretionary beverages. These relationships were significantly weaker in participants with obesity which may indicate less precise dietary compensation in these individuals. While strategies that promote greater intake of core foods may assist with weight maintenance in individuals of healthy weight, its impact in individuals with obesity may be limited. These strategies should be accompanied by direct messages to reduce commensurately the intake of discretionary items, with special attention paid to discretionary beverage consumption.

scholarly journals Cross-Sectional Associations between Dietary Fat-Related Behaviors and Continuous Metabolic Syndrome Score among Young Australian Adults

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 972 ◽  
Author(s):  
Yile Sun ◽  
Costan G. Magnussen ◽  
Terence Dwyer ◽  
Wendy H. Oddy ◽  
Alison J. Venn ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Dairy Products ◽  
Weight Status ◽  
Principal Component ◽  
Dietary Guidelines ◽  
Healthy Weight ◽  
Dietary Recommendations ◽  
Low Fat ◽  
Cross Sectional

Dietary guidelines recommend removing visible fat from meat, choosing low-fat options and cooking with oil instead of butter. This study examined cross-sectional associations between fat-related eating behaviors and a continuous metabolic syndrome (cMetSyn) score among young adults. During 2004–2006, 2071 participants aged 26–36 years reported how often they trimmed fat from meat, consumed low-fat dairy products and used different types of fat for cooking. A fasting blood sample was collected. Blood pressure, weight and height were measured. To create the cMetSyn score, sex-specific principal component analysis was applied to normalized risk factors of the harmonized definition of metabolic syndrome. Higher score indicates higher risk. For each behavior, differences in mean cMetSyn score were calculated using linear regression adjusted for confounders. Analyses were stratified by weight status (Body mass index (BMI) < 25 kg/m2 or ≥25 kg/m2). Mean cMetSyn score was positively associated with consumption of low-fat oily dressing (PTrend = 0.013) among participants who were healthy weight and frequency of using canola/sunflower oil for cooking (PTrend = 0.008) among participants who were overweight/obese. Trimming fat from meat, cooking with olive oil, cooking with butter, and consuming low-fat dairy products were not associated with cMetSyn score. Among young adults, following fat-related dietary recommendations tended to not be associated with metabolic risk.

scholarly journals Defining Nutritional and Functional Niches of Legumes: A Call for Clarity to Distinguish a Future Role for Pulses in the Dietary Guidelines for Americans

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1100
Author(s):  
Chelsea Didinger ◽  
Henry J. Thompson
Keyword(s):  
Public Health ◽  
Health Care Professionals ◽  
Weight Status ◽  
Dietary Guidelines ◽  
Health Concern ◽  
Healthy Weight ◽  
Food Groups ◽  
Rich Diversity ◽  
Dietary Guidelines For Americans ◽  
Dietary Components

Legume food crops can contribute to the solution of diet-related public health challenges. The rich diversity of the botanical family Fabaceae (Leguminosae) allows legumes to fill numerous nutritional niches. Pulses (i.e., a subgroup of legumes including chickpeas, cowpeas, dry beans, dry peas, and lentils) are a nutrient-dense food that could play a key role in eliminating the dramatic underconsumption of dietary fiber and potassium, two dietary components of public health concern, all while maintaining a caloric intake that promotes a healthy weight status. However, incorrect use of terminology—in the commercial and scientific literature as well as in publications and materials prepared for the consuming public—creates confusion and represents a barrier to dissemination of clear dietary guideline messaging. The use of accurate terminology and a simple classification scheme can promote public health through differentiation among types of legumes, better informing the development and implementation of nutritional policies and allowing health care professionals and the public to capitalize on the health benefits associated with different legumes. Although inconsistent grouping of legumes exists across countries, the recently released 2020–2025 Dietary Guidelines for Americans (DGA) were chosen to illustrate potential challenges faced and areas for clarification. In the 2020–2025 DGA, pulses are included in two food groups: the protein food group and ‘beans, peas, lentils’ vegetable subgroup. To evaluate the potential of pulses to contribute to intake of key dietary components within calorie recommendations, we compared 100 kilocalorie edible portions of pulses versus other foods. These comparisons demonstrate the unique nutritional profile of pulses and the opportunity afforded by this type of legume to address public health concerns, which can be greatly advanced by reducing confusion through global harmonization of terminology.

Diet

2015 ◽  
Author(s):  
Elizabeth G Nabel
Keyword(s):  
Dietary Fiber ◽  
Daily Intake ◽  
Blood Lipid ◽  
Dietary Guidelines ◽  
Food Sources ◽  
Healthy Weight ◽  
Dietary Recommendations ◽  
Animal Products ◽  
Vegetable Foods ◽  
Fiber Proteins

An unhealthy diet is a major risk factor for chronic diseases such as cardiovascular diseases, cancer, diabetes, and conditions related to obesity. In the 20th century, the average American diet shifted from one based on fresh, minimally processed vegetable foods to one based on animal products and highly refined, processed foods, leading to an increased consumption of calories, fat, cholesterol, refined sugar, animal protein, sodium, and alcohol and far less fiber and starch than was healthful. As a result, more than one third of US adults are obese, with an estimated medical cost of $147 billion. Physicians have an important role in educating patients about healthful nutrition and in providing dietary guidelines. This module discusses the role of energy in weight loss; the structure of fat and cholesterol, their effects on blood lipid levels and cardiovascular risk, and related dietary recommendations; carbohydrates; dietary fiber; proteins; vitamin and mineral consumption; water and food consumption; and the relationship between diet and health. Tables review the principles of a healthy diet; recommended daily intake of fat and other nutrients; types of dietary fiber and representative food sources; types of vitamins; essential minerals and trace elements; and dietary guidelines for healthy people. Figures include a graph showing the percentage of adults who are healthy weight, overweight, and obese and the structure of fat and cholesterol. This review contains 2 highly rendered figures, 6 tables, and 37 references.

Perceptions of unintentional weight loss among cancer survivors.

2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 138-138 ◽  
Author(s):  
Alexandra Katherine Zaleta ◽  
Shauna McManus ◽  
Thomas William LeBlanc ◽  
Joanne S Buzaglo
Keyword(s):  
Weight Loss ◽  
Cancer Survivors ◽  
Weight Status ◽  
Online Survey ◽  
Health Care Team ◽  
Healthy Weight ◽  
Unintentional Weight Loss ◽  
Weight Category ◽  
Perceived Weight ◽  
The Impact

138 Background: Unintentional weight loss (WL) can be a disruptive symptom of cancer, yet its psychosocial impact is not well understood. We examined cancer survivors’ experiences with unintentional WL. Methods: 320 cancer survivors completed an online survey, provided demographic, health, and unintentional WL history, and rated (0 = not at all; 4 = extremely) 19 statements about WL outcomes. We examined bivariate associations between weight status, unintentional WL, and WL outcomes. Results: Participants were 90% White; mean age = 58.8 years, SD= 11; 41% breast cancer, 23% blood cancer, 8% prostate cancer, mean time since diagnosis = 6.0 years, SD= 5; 18% metastatic, 22% current recurrence/relapse, 51% remission. 55 participants (17%) reported unintentional WL in the past 6 months (mean = 16lbs; range = 2-70; mean BMI = 27.6, SD= 6.3). These participants were less likely to be in disease remission ( p< .05). Participants with unintentional WL tended to underestimate their weight category (e.g., of BMI-classified healthy weight participants, 26% believed they were underweight); κ = -.17, p< .01. 51% of participants felt (somewhat to extremely) positive about WL, 49% said their health care team was supportive of WL; these statements were more strongly endorsed by people describing themselves as overweight ( ps < .05). 27% believed WL caused physical weakness, 23% said WL resulted in lost control over nutrition/eating, 16% said WL made them feel like a burden, 14% said WL caused them to lose their identity; these statements were more strongly endorsed by people describing themselves as underweight ( ps < .01). 20% viewed their WL as a sign of approaching end of life, 13% believed WL meant they would not be able to continue treatment; these views did not differ by perceived weight status. Conclusions: Many cancer survivors experience unintentional weight loss and associate their weight loss with negative outcomes. Survivors also often underestimate their weight status, which is notable given that personal views of one’s weight status, not BMI-derived weight status, is associated with beliefs about the impact of unintentional weight loss. Our findings suggest that people believe unintentional WL meaningfully affects their quality of life.

scholarly journals The Impact of Almond and Walnut Consumption on the Human Fecal Metabolome

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1180-1180
Author(s):  
Leila Shinn ◽  
Aditya Manasharamani ◽  
Yutong Li ◽  
Ruoqing Zhu ◽  
Janet Novotny ◽  
...  
Keyword(s):  
Food Intake ◽  
Palmitoleic Acid ◽  
Weight Maintenance ◽  
Relative Concentration ◽  
Fecal Microbiota ◽  
Dietary Recommendations ◽  
Food And Agriculture ◽  
Typical American Diet ◽  
The Impact ◽  
Fatty Acyls

Abstract Objectives Metabolomic studies can be utilized to generate biomarkers of food intake. Undigested food components affect the fecal microbiota and metabolome. Accordingly, we aimed to identify fecal metabolites unique to almond and walnut consumption. Methods Untargeted metabolomic analyses were completed on 66 endpoint fecal samples from two separate 3-week randomized, controlled-feeding, crossover studies examining almond (n = 30) and walnut (n = 36) consumption in adults (25–75 yr). Control diets, representative of the typical American diet, were fed at weight maintenance with 0 g/day of nuts. During the treatment arms, the base diet was scaled down to allow isocaloric inclusion of 42 g/day of almonds or walnuts. The Kruskal-Wallis H test was used to determine statistically significant metabolites between treatment and control groups with Benjamini-Hochberg false discovery rate adjustments (reported as q-values). Results Of the 318 quantifiable fecal metabolites, 42 were significantly different when comparing the treatment groups to their respective controls after adjustment (q &lt; 0.05). Of these 42 metabolites, 9 were significantly different in both the almond and walnut treatment samples. Two metabolites, palmitoleic acid and p-cresol, were unique to almonds—the relative concentration of palmitoleic acid was higher in the almond group compared to control and p-cresol was lower in almond compared to control. Walnut treatment samples contained 31 unique metabolites, including 15 fatty acyls, the majority of which were higher in the walnut group compared to control. Conclusions Higher concentrations of fecal fatty acyls in the almond and walnut groups compared to their respective controls support previous findings that the plant cell walls of nuts reduce digestibility, therefore, limiting accessibility of intact lipids. Overall, these results reveal promise in identifying fecal biomarkers of food intake for eventual use in personalized dietary recommendations. Ongoing analyses include utilizing machine learning models to further biomarker panel development through incorporation of baseline data and metagenomic analyses. Funding Sources This research was funded by the Foundation for Food and Agriculture Research and the National Center for Supercomputing Applications Faculty Fellowship.

scholarly journals Food-related attentional bias and its associations with appetitive motivation and body weight: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Charlotte Hardman ◽  
Andrew Jones ◽  
Sam Burton ◽  
Jay Duckworth ◽  
Lauren McGale ◽  
...  
Keyword(s):  
Systematic Review ◽  
Body Weight ◽  
Individual Differences ◽  
Food Intake ◽  
Attentional Bias ◽  
Weight Control ◽  
Weight Status ◽  
Positive Association ◽  
Healthy Weight ◽  
Appetite Control

Theoretical models suggest that food-related visual attentional bias (AB) may be related to appetitive motivational states and individual differences in body weight; however, findings in this area are equivocal. We conducted a systematic review and series of meta-analyses to determine if there is a positive association between food-related AB and: (1.) body mass index (BMI) (number of effect sizes (k)=110), (2.) hunger (k=98), (3.) subjective craving for food (k=35), and (4.) food intake (k=44). Food-related AB was robustly associated with craving (r = .134 (95% CI .061, .208); p &lt; .001), food intake (r = .085 (95% CI .038, .132); p &lt; .001), and hunger (r = .048 (95% CI .016, .079); p = .003), but these correlations were small. Food-related AB was unrelated to BMI (r =.008 (95% CI -.020, .035); p = .583) and this result was not moderated by type of food stimuli, method of AB assessment, or the subcomponent of AB that was examined. Furthermore, in a between-groups analysis (k = 22) which directly compared participants with overweight/obesity to healthy-weight control groups, there was no evidence for an effect of weight status on food-related AB (Hedge’s g = 0.104, (95% CI -0.050, 0.258); p =.186). Taken together, these findings suggest that food-related AB is sensitive to changes in the motivational value of food, but is unrelated to individual differences in body weight. Our findings question the traditional view of AB as a trait-like index of preoccupation with food and have implications for novel theoretical perspectives on the role of food AB in appetite control and obesity.

scholarly journals The Contribution of Confectionery to the Global Obesity Epidemic: a Review

2013 ◽  
Vol 5 (1) ◽  
pp. 43-46 ◽  
Author(s):  
Simonetta Ballali ◽  
Maria Gabriella Vecchio ◽  
Daniele Chiffi ◽  
Claudia Elena Gafare ◽  
Dario Gregori
Keyword(s):  
Energy Intake ◽  
Weight Status ◽  
Daily Energy Intake ◽  
Obesity Epidemic ◽  
Factors Influencing ◽  
Daily Energy ◽  
Global Concern ◽  
Major Factors ◽  
The Impact ◽  
Sugar Source

Obesity has become, nowadays, a global concern affecting both developed and developing countries. Nutrition and physical activity represent the major factors influencing energy balance and subsequently weight status. Deciding toward an appropriate intake of all nutrients is seen as necessary to maintain a wholesome lifestyle: among nutrients, sugar plays a major role and its consumption has long been seen as an issue in public health, due to its possible role in displacing or diluting nutrients in the diet and contributing to the epidemic of obesity. A research on Pubmed was assessed to evaluate the impact of confectionery consumption, as sugar source, on the daily energy intake. The studies considered in the current paper generally failed to show that confectionery consumption leads necessarily to a shift of energy intake. Anyway, considering that till now, very few works on this topic were conducted, more researches are necessary to demonstrate the effective influence of confectionery on daily energy intake.

scholarly journals Appetite and physiological responses to medium-chain triglycerides (MCT) and conjugated linoleic acid (CLA) in lean vs overweight/obese participants

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Tyler Maher ◽  
Martina Deleuse ◽  
Sangeetha Thondre ◽  
Miriam Clegg
Keyword(s):  
Linoleic Acid ◽  
Gastric Emptying ◽  
Conjugated Linoleic Acid ◽  
Energy Intake ◽  
Vegetable Oil ◽  
Weight Status ◽  
Healthy Weight ◽  
Medium Chain Triglycerides ◽  
Medium Chain ◽  
Total Ghrelin

AbstractMedium-chain triglycerides (MCT) are lipids which have been shown to yield appetite-suppressing properties compared to long-chain triglycerides (LCT), which are more commonly found in the diet. Conjugated linoleic acid (CLA) has also been shown to increase satiety and decrease subsequent energy intake, although CLA has received much less attention to date. The mechanisms behind the appetite-suppressing properties are yet to be fully elucidated. Furthermore, no study has directly compared these effects or mechanisms in overweight/obese individuals to a group of healthy-weight weight controls.Fifteen healthy-weight (BMI: 22.7 ± 1.9 kg/m2) and fourteen overweight/obese (BMI: 30.9 ± 3.9 kg/m2) individuals participated in a randomised single-blind cross-over study. Overnight fasted participants were fed smoothie breakfasts containing either 23.06 g vegetable oil (LCT), 25.0 g MCT oil (MCT), or 6.25 g CLA and 16.8 g vegetable oil (CLA) on separate test days. Subjective appetite ratings, peptide YY (PYY), total ghrelin, β-hydroxybutyrate, and gastric emptying (GE) were measured throughout each trial. Energy intake in the laboratory was measured at a buffet meal 3-h after the smoothie breakfast and for the following ~36-h in their free-living environment via food records.Energy intake and subjective appetite ratings were not affected by weight status, so results are presented as a whole. MCT reduced energy intake compared to LCT over the trial day and whole 48-h period, but not at the ad libitum lunch. There was no difference between CLA and LCT at any time point. There were no differences in postprandial subjective appetite ratings between trials. PYY concentrations were not affected by weight status (P = 0.170), and did not differ between trials (P = 0.743) and total ghrelin was also not affected by weight status (P = 0.306), and concentrations were similar between trials (P = 0.188). β-hydroxybutyrate concentrations were higher in the overweight/obese group compared to the lean group (P = 0.009), and MCT led to increased concentrations compared to both LCT (P = 0.005) and CLA (P < 0.001). MCT delayed GE half-time (P < 0.001), lag-phase (P < 0.001), latency phase (P = 0.01), and ascension time (P < 0.001) compared to LCT, with no differences in GE between LCT and CLA (all P > 0.05).MCT consumption reduces intake over the subsequent 48-h, whereas CLA has no effect compared to LCT. This does not appear to be related to PYY or total ghrelin, but may be mediated by β-hydroxybutyrate or via a delay of gastric emptying.

Body mass index (BMI) and its impact on quality of life (QOL) in childhood leukemia survivors.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 9606-9606
Author(s):  
Anne Hudson Blaes ◽  
Kevin Scott Baker ◽  
Jill Lunsford Lee ◽  
Catherine Moen ◽  
Daniel A. Mulrooney ◽  
...  
Keyword(s):  
Physical Functioning ◽  
Weight Status ◽  
Childhood Leukemia ◽  
Short Form ◽  
Statistical Tests ◽  
Age At Diagnosis ◽  
Cell Transplant ◽  
Healthy Weight ◽  
Sf 36 ◽  
The Impact

9606 Background: Obesity after childhood cancer carries implications for survivors’ future health risks; however little is known about the impact of weight after treatment on QOL. Methods: Adult survivors of childhood leukemia in remission (51% male) completed the Health Related QOL Short Form (SF-36) between 2006-2012. Standard BMI cut points were assessed at the time of survey completion. 97% received treatment with chemotherapy, 55.6% stem cell transplant (SCT), 27.8% were in remission from a second cancer. The impact of demographic (age at diagnosis, current age, gender), treatment [radiation therapy, SCT, total body irradiation (TBI), cranial radiation, disease characteristics, history of relapse] were explored. For each subscale, linear regression models were performed. All statistical tests were two-sided, P-values < 0.05 considered statistically significant. Results: 73 survivors diagnosed at a median age of 9.0 (1.0-27.0) years and surveyed at a median of 17.4 (2.5-34.7) years later completed SF-36. 75.6% had received a median dose of 1800 (800-8750) cGy of radiation. The distribution of BMI was underweight <18.5 (9.6%), normal 18.5-24.9 (42.5%), overweight 25-29.9 (27.4%), or obese >30 (20.6%). Consistent with previous studies, those who received whole brain radiation had greater BMI at the time of survey than those who did not receive radiation and those who received TBI (F=2.52, p=0.065). In analyses adjusted for age at diagnosis and time since diagnosis, the reported vitality (fatigue) for those who were obese (mean 45.0+/-8.9) or underweight (45.8+/-9.5) was significantly lower (p=0.002) than normal (55.7+/-10.4) or overweight (50.4+/-10.0), and those who were underweight (39.0+/-13.3) also reported poor physical functioning (endurance and strength) (p=0.038) compared with the others (52.3+/-8.1 normal weight, 49.5+/-11.7 overweight, 47.1+/-9.0 obese). Conclusions: Weight management in leukemia survivors is problematic with 48% of our sample being overweight or obese. Weight status is associated with QOL, impacting survivors’ fatigue and physical functioning. Interventions to help survivors achieve a healthy weight after cancer treatment are needed, and may lead to improvements in QOL.

Abstract MP042: Higher Levels of Sodium Density (mg/kcal) are Associated With Increased Blood Pressure Independent of Absolute Sodium (mg): the DASH Sodium Trial

Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Maureen A Murtaugh ◽  
Lawrence J Appel ◽  
Jeannette M Beasley ◽  
Patricia M Guenther ◽  
Tom Greene ◽  
...  
Keyword(s):  
Energy Intake ◽  
Control Diet ◽  
Average Energy ◽  
Random Order ◽  
Absolute Amount ◽  
Dietary Recommendations ◽  
Dash Diet ◽  
Black And White ◽  
Pressure Independent ◽  
The Impact

Introduction: Dietary recommendations for Na are expressed as absolute amounts, that is, mg of Na/d rather than as Na density (mg/kcal). The DASH-Na dose-response trial tested the impact of varying Na density on BP, that is, the absolute dose of Na received at the low, medium, and high levels depended on energy intake. For example, a dose of 3,600 mg was high density in individuals with average energy intake but was medium density in individuals with higher energy intake. Objective: Evaluate whether the effect of Na density on BP was independent of absolute Na. Methods: In the DASH-Na trial, participants with pre-or stage 1 hypertension were randomly assigned to a control or DASH diet; on both diets, participants were fed each of three Na levels in random order. We analyzed data from 378 Non-Hispanic Black and White participants (ages 23-76 yr, baseline BP 135/86). Using a mixed effects model, level of Na density (low, medium, or high) was added to a model of absolute Na on BP to determine if the effect of Na density on BP was independent of absolute Na, with adjustment for randomized diet, cohort, carryover, clinical center, age, sex, race, and interactions of diet with absolute Na and Na density. Results: At the same absolute amount of Na, higher Na density was associated with higher SBP and DBP (both p<0.0001) in the control diet arm (Figure 1). At the recommended upper limit of Na (2300 mg), the average SBP and DBP of those on a medium-Na-density diet was 7.2 mmHg (95% CI: 4.8, 9.7) and 3.9 mmHg higher (95% CI: 2.3, 5.5), respectively, than those on a low-Na-density diet. At 3600 mg, the average SBP and DBP of those on a high-Na-density diet was 6.0 mmHg (95% CI: 3.6, 8.5) and 3.1 mmHg (95% CI: 1.5, 4.7) higher, respectively, than those on a medium-Na-density diet. These differences were somewhat smaller, but still significant, in the DASH diet arm. Conclusions: The effects of Na on BP vary with energy needs. This suggests that Na density should be considered when designing and interpreting studies of Na and BP and when providing dietary guidance.

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