review article | Q7318358 |
scholarly article | Q13442814 |
P50 | author | Carl Lavie | Q21064602 |
P2093 | author name string | Edward Archer | |
Gregory Pavela | |||
P2860 | cites work | Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations | Q73083617 |
Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the national conference on cardiovascular disease prevention | Q73306507 | ||
Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake | Q73317502 | ||
The questionable role of saturated and polyunsaturated fatty acids in cardiovascular disease | Q74683676 | ||
Nutrition trends in Japan | Q77170775 | ||
Selective underreporting of energy intake in women: magnitude, determinants, and effect of training | Q79102793 | ||
The weight of scientific evidence in policy and law | Q80395344 | ||
Low sodium intake--cardiovascular health benefit or risk? | Q87567004 | ||
Physical inactivity: the biggest public health problem of the 21st century | Q95779546 | ||
Deming, data and observational studies | Q56485477 | ||
Cognitive Structure and Informant Accuracy | Q56698193 | ||
After the Archive: Remapping Memory | Q56864962 | ||
Is Fructose a Story of Mice but Not Men? | Q57660753 | ||
Do we eat less fat, or just report so? | Q59480311 | ||
The Problem of Informant Accuracy: The Validity of Retrospective Data | Q60334868 | ||
Does energy intake underreporting involve all kinds of food or only specific food items? Results from the Fleurbaix Laventie Ville Santé (FLVS) study | Q61012256 | ||
Do time trends in food supply levels of macronutrients reflect survey estimates of macronutrient intake? | Q68125412 | ||
Energy and protein requirements. Report of a joint FAO/WHO/UNU Expert Consultation | Q69980314 | ||
Epidemiological studies related to coronary heart disease: characteristics of men aged 40-59 in seven countries | Q70901381 | ||
Food intakes of obese and non-obese women | Q73064723 | ||
False beliefs about fattening foods can have healthy consequences | Q24536043 | ||
Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy | Q24630087 | ||
Effect of fructose on postprandial triglycerides: a systematic review and meta-analysis of controlled feeding trials. | Q27693224 | ||
Memory and reality | Q28274828 | ||
Influence of cardiorespiratory fitness on lung cancer mortality | Q28395068 | ||
Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others | Q29026899 | ||
False memories in highly superior autobiographical memory individuals | Q29041326 | ||
Heart disease and stroke statistics--2012 update: a report from the American Heart Association | Q29547909 | ||
Physical activity in the United States measured by accelerometer | Q29614190 | ||
Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein and amino acids | Q29614194 | ||
Validity of U.S. nutritional surveillance:National Health and Nutrition Examination Survey caloric energy intake data, 1971-2010 | Q30678502 | ||
Comparative analysis of nutrition data from national, household, and individual levels: results from a WHO-CINDI collaborative project in Canada, Finland, Poland, and Spain | Q30756745 | ||
Considering the value of dietary assessment data in informing nutrition-related health policy | Q30836462 | ||
Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys | Q31140794 | ||
Effect of physical inactivity on the oxidation of saturated and monounsaturated dietary Fatty acids: results of a randomized trial | Q33259164 | ||
Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. | Q33311792 | ||
Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake | Q33847481 | ||
Pellagra in the United States: a historical perspective. | Q33895343 | ||
The cognitive neuroscience of true and false memories. | Q34150228 | ||
The malleability of human memory | Q34218121 | ||
On the prediction of occurrence of particular verbal intrusions in immediate recall. | Q34246415 | ||
The validity of self-reported energy intake as determined using the doubly labelled water technique | Q34248772 | ||
An overview of the neuro-cognitive processes involved in the encoding, consolidation, and retrieval of true and false memories | Q34350008 | ||
The cognitive neuroscience of memory distortion | Q34353317 | ||
Vitamin E consumption and the risk of coronary heart disease in men. | Q34363912 | ||
The childhood obesity epidemic as a result of nongenetic evolution: the maternal resources hypothesis | Q34450439 | ||
Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study | Q34626887 | ||
Validity of the assessment of dietary intake: problems of misreporting | Q34781499 | ||
Understanding nutritional epidemiology and its role in policy | Q34884548 | ||
Beta-carotene supplementation and cancer risk: a systematic review and metaanalysis of randomized controlled trials | Q35010512 | ||
Estimation of usual intakes: What We Eat in America-NHANES. | Q35059317 | ||
Markers of the validity of reported energy intake | Q35075528 | ||
Our changeable memories: legal and practical implications | Q35075751 | ||
Twenty-four hour total and dietary fat oxidation in lean, obese and reduced-obese adults with and without a bout of exercise | Q35142991 | ||
Limits to the measurement of habitual physical activity by questionnaires | Q35143423 | ||
Measurement: a beginner's guide | Q35549092 | ||
False recall in the Deese-Roediger-McDermott paradigm: The roles of gist and associative strength. | Q35580915 | ||
Energy balance measurement: when something is not better than nothing | Q35602887 | ||
The Consequences of False Memories for Food Preferences and Choices | Q35687227 | ||
Constructive memory: past and future | Q35926472 | ||
Physical activity and diabetes prevention | Q36231591 | ||
Conducting accelerometer-based activity assessments in field-based research | Q36315542 | ||
Under-reporting of dietary energy intake in five populations of the African diaspora | Q36347977 | ||
Misreporting of dietary intake affects estimated nutrient intakes in low-income Spanish-speaking women. | Q36368088 | ||
Clinical trials and observational studies to assess the chronic disease benefits and risks of multivitamin-multimineral supplements | Q36701947 | ||
The CDC's Second National Report on Biochemical Indicators of Diet and Nutrition in the U.S. Population is a valuable tool for researchers and policy makers. | Q36771621 | ||
Food supply versus household survey data: nutrient consumption trends for Spain, 1958-1988. | Q36829543 | ||
Design characteristics of food frequency questionnaires in relation to their validity | Q36946321 | ||
A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review | Q36987077 | ||
Physical inactivity differentially alters dietary oleate and palmitate trafficking. | Q37066890 | ||
Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice | Q37548841 | ||
??? | Q27690858 | ||
Annual Report to the Nation on the status of cancer, 1975-2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer | Q37722447 | ||
Energy intake misreporting among children and adolescents: a literature review | Q37782149 | ||
False memories and fantastic beliefs: 15 years of the DRM illusion | Q37797800 | ||
Physical activity and the prevention of cardiovascular disease: from evolution to epidemiology | Q37872411 | ||
Metabolic disruptions induced by reduced ambulatory activity in free-living humans | Q37884268 | ||
Physical inactivity as the culprit of metabolic inflexibility: evidence from bed-rest studies | Q37915921 | ||
Reconsolidation of memory: a decade of debate. | Q38033268 | ||
Is everything we eat associated with cancer? A systematic cookbook review | Q38063482 | ||
Reconsolidation of human memory: brain mechanisms and clinical relevance | Q38206344 | ||
Accelerometer-based measures in physical activity surveillance: current practices and issues | Q38265022 | ||
The distinctions of false and fuzzy memories | Q38451446 | ||
The cognitive neuroscience of constructive memory | Q38553185 | ||
Validation of a novel protocol for calculating estimated energy requirements and average daily physical activity ratio for the US population: 2005-2006. | Q39304541 | ||
Potential underreporting of energy intake in the Ontario Health Survey and its relationship with nutrient and food intakes | Q39363012 | ||
Can adverse effects of dietary fat intake be overestimated as a consequence of dietary fat underreporting? | Q40363158 | ||
Limitations in the assessment of dietary energy intake by self-report | Q40601165 | ||
In reply—Maternal, paternal, and societal efforts are needed to "cure" childhood obesity | Q42424392 | ||
Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC). | Q42438329 | ||
Low energy reporters vs others: a comparison of reported food intakes | Q42485927 | ||
OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI. | Q42612156 | ||
Implausible data, false memories, and the status quo in dietary assessment | Q43179131 | ||
A 2-wk reduction of ambulatory activity attenuates peripheral insulin sensitivity | Q43203788 | ||
Memory and law: what can cognitive neuroscience contribute? | Q44245539 | ||
Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study | Q44497576 | ||
Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative | Q45161513 | ||
Physical fitness and all-cause mortality. A prospective study of healthy men and women | Q45817114 | ||
Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions | Q45847156 | ||
Persistence of contradicted claims in the literature | Q46770233 | ||
Wolfgang Ernst Pauli, 1900-1958 | Q47477580 | ||
Regulation of energy balance during long-term physical inactivity induced by bed rest with and without exercise training. | Q48235941 | ||
Food availability and consumption at national, household and individual levels: implications for food-based dietary guidelines development. | Q50120515 | ||
Vitamin E consumption and the risk of coronary disease in women. | Q50126258 | ||
Relationship between dietary iron intake, corrected for diet reporting error, and serum ferritin in Danish women aged 35-65 years. | Q50559568 | ||
Constructing rich false memories of committing crime. | Q50601480 | ||
Insomnia and the attribution process. | Q51328379 | ||
Energy adjustment does not control for differential recall bias in nutritional epidemiology. | Q51993681 | ||
Imagination inflation for action events: repeated imaginings lead to illusory recollections. | Q51995749 | ||
Remembering words not presented in lists: Can we avoid creating false memories? | Q52042498 | ||
Epidemiology faces its limits. | Q52877590 | ||
Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Implications for diet disease relationships. | Q52887837 | ||
Implausible results in human nutrition research. | Q54600212 | ||
What has a decade of Daubert wrought? | Q55041045 | ||
Creating false memories: Remembering words not presented in lists | Q56168703 | ||
The mother of all problems | Q56228182 | ||
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | obesity | Q12174 |
P304 | page(s) | 911-26 | |
P577 | publication date | 2015-07-01 | |
P1433 | published in | Mayo Clin Proc | Q6538184 |
P1476 | title | The Inadmissibility of What We Eat in America and NHANES Dietary Data in Nutrition and Obesity Research and the Scientific Formulation of National Dietary Guidelines | |
P478 | volume | 90 |
Q93054634 | A More Comprehensive Approach to the Neuroprotective Potential of Long-Chain Polyunsaturated Fatty Acids in Preterm Infants Is Needed-Should We Consider Maternal Diet and the n-6:n-3 Fatty Acid Ratio? |
Q38976243 | A Systematic Review of the Impact of Multi-Strategy Nutrition Education Programs on Health and Nutrition of Adolescents |
Q50230979 | A lack of credible evidence for a relationship between socio-economic status and dietary patterns: a response to 'Associations between socio-economic status and dietary patterns in US black and white adults'. |
Q48044930 | A pilot study to determine whether using a lightweight, wearable micro-camera improves dietary assessment accuracy and offers information on macronutrients and eating rate |
Q31005359 | Addressing Current Criticism Regarding the Value of Self-Report Dietary Data |
Q49829943 | Are 'fruits and vegetables' intake really what they seem in India? |
Q36916214 | Associations of red and processed meat with survival among patients with cancers of the upper aerodigestive tract and lung. |
Q52659163 | Behavioral primary prevention of cardiovascular diseases. |
Q58564171 | Breakfast Consumption Augments Appetite, Eating Behavior, and Exploratory Markers of Sleep Quality Compared with Skipping Breakfast in Healthy Young Adults |
Q42368261 | Broad and Inconsistent Muscle Food Classification Is Problematic for Dietary Guidance in the U.S. |
Q55478228 | Cancer Incidence in Europe: An Ecological Analysis of Nutritional and Other Environmental Factors. |
Q58789858 | Cell-Specific "Competition for Calories" Drives Asymmetric Nutrient-Energy Partitioning, Obesity, and Metabolic Diseases in Human and Non-human Animals |
Q92003106 | Child and adult snack food intake in response to manipulated pre-packaged snack item quantity/variety and snack box size: a population-based randomized trial |
Q42369738 | Commentary: Snap-N-Send: A Valid and Reliable Method for Assessing the Energy Intake of Elite Adolescent Athletes |
Q89586267 | Comparison of Methods Used to Correct Self-Reported Protein Intake for Systematic Variation in Reported Energy Intake Using Quantitative Biomarkers of Dietary Intake |
Q64892415 | Daily metabolic expenditures: estimates from US, UK and polish time-use data. |
Q40589743 | Dietary assessment is a critical element of health research - Perspective from the Partnership for Advancing Nutritional and Dietary Assessment in Canada. |
Q39899384 | Differential association of cardiorespiratory fitness and central adiposity among US adolescents and adults: A quantile regression approach. |
Q59278014 | Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey (Preprint) |
Q55231647 | Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey. |
Q26768442 | Docosahexaenoic Acid and Cognition throughout the Lifespan |
Q36530132 | Effects of Polyphenol, Measured by a Biomarker of Total Polyphenols in Urine, on Cardiovascular Risk Factors After a Long-Term Follow-Up in the PREDIMED Study. |
Q33552162 | Effects of an Ad Libitum Consumed Low-Fat Plant-Based Diet Supplemented with Plant-Based Meal Replacements on Body Composition Indices |
Q47953670 | Effects of preparation on nutrient and environmental contaminant levels in Arctic beluga whale (Delphinapterus leucas) traditional foods |
Q34538038 | Evidence from randomised controlled trials does not support current dietary fat guidelines: a systematic review and meta-analysis. |
Q55283914 | Extreme under-reporting of body weight by young adults with obesity: relation to social desirability. |
Q58792654 | Food Sources of Energy and Nutrients of Public Health Concern and Nutrients to Limit with a Focus on Milk and other Dairy Foods in Children 2 to 18 Years of Age: National Health and Nutrition Examination Survey, 2011⁻2014 |
Q56888124 | FoodRepo: An Open Food Repository of Barcoded Food Products |
Q37347956 | Fruit and vegetable consumption in adolescence and early adulthood and risk of breast cancer: population based cohort study |
Q41194855 | Genome-Wide Association Study of Dietary Pattern Scores |
Q51144418 | Global Correlates of Cardiovascular Risk: A Comparison of 158 Countries. |
Q38730387 | Glycated hemoglobin A1C and vitamin D and their association with diabetic retinopathy severity |
Q28607856 | Goals in Nutrition Science 2015-2020 |
Q95519327 | Healthy diets and sustainable food systems |
Q37657499 | Higher dietary flavonoid intakes are associated with lower objectively measured body composition in women: evidence from discordant monozygotic twins |
Q36606702 | Higher-protein diets improve indexes of sleep in energy-restricted overweight and obese adults: results from 2 randomized controlled trials |
Q41556845 | Influence of an intervention targeting a reduction in sugary beverage intake on the δ13C sugar intake biomarker in a predominantly obese, health-disparate sample |
Q39190906 | Investigating nutrition and lifestyle factors as determinants of abdominal obesity: an environment-wide study. |
Q90337847 | Investigating the momentary association between maternal support and children's fruit and vegetable consumption using ecological momentary assessment |
Q59883304 | Is misreporting of dietary intake by weighed food records or 24-hour recalls food specific? |
Q38648153 | Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review |
Q92592434 | Lifestyle factors and high-risk atherosclerosis: Pathways and mechanisms beyond traditional risk factors |
Q58789477 | Narrative Review of New Methods for Assessing Food and Energy Intake |
Q88288773 | Nutritional Interventions in Heart Failure: Challenges and Opportunities |
Q64123458 | Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How |
Q41584472 | Precision Nutrition: A Review of Personalized Nutritional Approaches for the Prevention and Management of Metabolic Syndrome |
Q91683413 | Reducing waste in nutritional epidemiology: review and perspectives |
Q28073747 | Relationship between Added Sugars Consumption and Chronic Disease Risk Factors: Current Understanding |
Q50085137 | Reliability and validity of food portion size estimation from images using manual flexible digital virtual meshes. |
Q39618331 | Reliability of 24-Hour Dietary Recalls as a Measure of Diet in African-American Youth |
Q42341806 | Reply to LS Freedman et al |
Q38690262 | Reported Dietary Intake and Food Sources of Zinc, Selenium, and Vitamins A, E and C in the Spanish Population: Findings from the ANIBES Study |
Q37673283 | Reported Dietary Intake, Disparity between the Reported Consumption and the Level Needed for Adequacy and Food Sources of Calcium, Phosphorus, Magnesium and Vitamin D in the Spanish Population: Findings from the ANIBES Study |
Q51808964 | Response by Pase et al to Letters Regarding Article, "Sugar- and Artificially Sweetened Beverages and the Risks of Incident Stroke and Dementia. A Prospective Cohort Study". |
Q100504050 | Review of the validity and feasibility of image-assisted methods for dietary assessment |
Q60315008 | Scientific rigor and credibility in the nutrition research landscape |
Q50579024 | Snap-N-Send: A valid and reliable method for assessing the energy intake of elite adolescent athletes. |
Q89834256 | Sodium Glucose Co-Transporter 2 Inhibition Does Not Favorably Modify the Physiological Responses to Dietary Counselling in Diabetes-Free, Sedentary Overweight and Obese Adult Humans |
Q97517633 | Spanish Version of the Plymouth Sensory Imagery Questionnaire |
Q37673205 | The Comparative Reliability and Feasibility of the Past-Year Canadian Diet History Questionnaire II: Comparison of the Paper and Web Versions |
Q59329222 | The Failure to Measure Dietary Intake Engendered a Fictional Discourse on Diet-Disease Relations |
Q40168996 | The IDEFICS intervention trial to prevent childhood obesity: design and study methods |
Q50231575 | The NHANES dietary data are physiologically implausible and inadmissible as scientific evidence. |
Q31146718 | The Validity of US Nutritional Surveillance: USDA's Loss-Adjusted Food Availability Data Series 1971-2010. |
Q50231583 | The use of implausible data without caveats is misleading. |
Q35980261 | Turning Participatory Microbiome Research into Usable Data: Lessons from the American Gut Project |
Q90597162 | Using DNA Metabarcoding To Evaluate the Plant Component of Human Diets: a Proof of Concept |
Q47271355 | Using item response theory to address vulnerabilities in FFQ. |
Q47396742 | n-3 Polyunsaturated Fatty Acids and Cardiovascular Disease: Principles, Practices, Pitfalls, and Promises; A Contemporary Review. |
Search more.