Navorsing wat LyteFast ondersteun
Peer-reviewed verwysings wat gewigvoorspelling, energiebalans, koolstofvoetspoor van diëte, glutenopsporing, voedingsdatabasisse en KI-voedselanalise ondersteun.
Skakels open in jou taal wanneer beskikbaar • Prioritiseer Harvard, Stanford en MIT navorsing
Gewig Voorspelling
Gewigvoorspelling gebruik voorspellende modelle gebaseer op energiebalans beginsels om toekomstige gewigstendense te projekteer vanaf onlangse data. Navorsing toon dat selfmonitering van gewig en kalorie-inname, gekombineer met tendensvervlakking om dag-tot-dag geraas te verminder, mense help om hul trajek te verstaan en tydige aanpassings te maak. Kort-horisontale voorspellende modellering omskep jou onlangse trajek in aksie-ondersteunende voorspellings wat nakoming en langtermyn gewoontes bevorder.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Demonstreer die belangrikheid van akkurate liggaamsamestellingmeting in die opvolg van gewigsveranderinge, wat die behoefte aan tendensvervlakking in gewigsvoorspellingsmodelle ondersteun.
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Toon hoe selfmonitering en terugvoermeganismes langtermyn gewigsbestuur ondersteun, wat die benadering van die verskaffing van duidelike voorspellings en tendensvisualisering bevestig.
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Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
Journal of medical systems • 2023
Hersien masjienleerbenaderings vir gewigvoorspelling, wat die gebruik van voorspellende modellering in gewigbestuursaansoeke ondersteun.
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Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.
EBioMedicine • 2023
Demonstreer hoe masjienleer die voorspellingsnauwkeurigheid kan verbeter, relevant vir gewigstendensvoorspellingsmodelle.
Begroting-gebaseerde Kalorieë
Voorafgestelde kalorie begrotings met duidelike "binne begroting" of "oor begroting" terugvoer help gebruikers om ingeligte voedselkeuses in werklike tyd te maak. Navorsing toon dat hierdie besluitsondersteuningsbenadering die nakoming van kalorie doelwitte verbeter deur kognitiewe las te verminder en onmiddellike, uitvoerbare terugvoer te bied. Die eenvoudige "bestee teenoor begroting" raamwerk stem ooreen met die beginsels van gedrags-ekonomie wat toon dat mense beter besluite neem wanneer hulle duidelike beperkings en onmiddellike terugvoer oor hul keuses het.
Key Studies
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Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.
Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
Toon aan dat gestruktureerde doelwitstelling en terugvoermeganismes die nakoming van dieetdoelwitte verbeter, wat die begrotingsgebaseerde kaloriebenadering ondersteun.
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Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.
Nature medicine • 2023
Dui aan dat gestructureerde kaloriebestuurbenaderings die nakoming en uitkomste verbeter in vergelyking met standaard sorg.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Vergelyk verskillende kaloriebeperkingstrategieë, wat toon dat duidelike kalorie-budgets nakoming ondersteun, ongeag die tydsbenadering.
Kalorie-tekort en Energiebalans
Energiebalans—die verhouding tussen kalorieë wat verbruik word en kalorieë wat verbrand word—is die primêre dryfkrag agter gewigsverandering. Navorsing toon konsekwent aan dat die skep van 'n kalorie-tekort lei tot gewigsverlies, terwyl 'n surplus lei tot gewigstoename. Om hierdie tekort in werklike tyd te visualiseer, help gebruikers om te verstaan hoe hul daaglikse keuses hul vordering teenoor hul doelwitte beïnvloed. Die toepassing vertaal energiebalans in eenvoudige taal, wat die gaping tussen huidige inname en teiken toon, en watter veranderinge daardie gaping kan sluit.
Key Studies
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Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.
Obesity (Silver Spring, Md.) • 2025
Bevestig dat energiebalans die fundamentele meganisme is wat gewigsverandering dryf, wat die kalorie-tekortbenadering valideer.
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Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?
Nutrients • 2022
Toon aan dat 'n kalorie-tekort, ongeag die tydsberekening, gewigsverlies aandryf, wat die energie-balans beginsel ondersteun.
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Effectiveness of Early Time-Restricted Eating for Weight Loss, Fat Loss, and Cardiometabolic Health in Adults With Obesity: A Randomized Clinical Trial.
JAMA internal medicine • 2022
Demonstreer dat 'n kalorie-tekort wat deur tyd-beperkte eet gewerk word, lei tot meetbare gewigsverlies, wat die beginsels van energie-balans bevestig.
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Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.
The journal of nursing research : JNR • 2022
Toon aan dat kalorie-tekort die sleutelmeganisme vir gewigsverlies is, ongeag die tydsberekening van eetpatrone.
KI Voedsel Skandeerder
Kunstmatige intelligensie en masjienleer stel outomatiese voedselherkenning vanuit foto's, teksbeskrywings en strepieskode-skandering in staat. Navorsing toon dat KI-gedrewe voedingsskatting redelike akkuraatheid kan bied vir algemene voedselsoorte, wat gebruikers help om maaltye vinniger en meer konsekwent te registreer. Die kombinasie van fotoanalise, strepieskode-skandering en teksontleding skep verskeie roetes vir voedselregistrasie, wat hindernisse vir selfmonitering verminder en die nakoming van kalorieopsporing verbeter.
Key Studies
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DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.
Communications medicine • 2025
Demonstreer hoe KI en groot taalmodelle akuraat voeding uit voedselbeelde en beskrywings kan skat.
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Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.
Journal of imaging • 2025
Toon aan dat KI voedinginligting uit voedseletikette kan onttrek, wat streefd na strepieskode- en teksgebaseerde voedselregistrasie.
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Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.
Current developments in nutrition • 2024
Valideer AI-gebaseerde voedselherkenningstelsels vir dieetbeoordeling, wat akkuraatheid in werklike voedselregistrasiescenario's demonstreer.
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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
The American journal of clinical nutrition • 2023
Vergelyk AI-gebaseerde voedselkategorisering met tradisionele metodes, wat toon dat masjienleerbenaderings effektief voedsel kan kategoriseer en die voedingskwaliteit kan voorspel.
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Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.
JMIR formative research • 2025
Demonstreer die doeltreffendheid van streepkode-skandering vir akkurate datavang, wat streepkode-gebaseerde voedselregistrasie ondersteun.
Koolstofvoetspoor
Voedselproduksie verteenwoordig 'n beduidende deel van die wêreldwye kweekhuisgasemissies. Navorsing toon dat verskillende voedselsoorte aansienlik verskillende koolstofvoetspore het, en dieetkeuses kan 'n groot impak op omgewingsvolhoubaarheid hê. Om die koolstofvoetspoor van maaltye te volg, help gebruikers om die omgewingsimpak van hul voedselkeuses te verstaan en meer volhoubare besluite te neem. Studies toon dat selfs klein dieetveranderinge betekenisvol koolstofemissies kan verminder.
Key Studies
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Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.
The American journal of clinical nutrition • 2025
Toon aan dat volhoubare dieetpatrone kweekhuisgasemissies kan verminder en dieetkwaliteit kan verbeter, wat die opvolging van koolstofvoetspore valideer.
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Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.
The American journal of clinical nutrition • 2025
Demonstreer die verband tussen dieetkwaliteit en omgewingsvolhoubaarheid, wat bewustheid van koolstofvoetspore in voedselkeuses ondersteun.
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Diet quality and environmental impact of university students' food choices at a South African university.
Frontiers in nutrition • 2025
Toon aan dat voedselkeuses meetbare omgewingsimpakte het, wat die belangrikheid van koolstofvoetspooropsporing bevestig.
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Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.
The American journal of clinical nutrition • 2022
Demonstreer dat klein dieetveranderinge betekenisvol die koolstofvoetspore kan verminder, wat die waarde van koolstofopsporing in voedselkeuses ondersteun.
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Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.
International journal of environmental research and public health • 2022
Toon hoe verskillende voedselkeuses en voorbereidingsmetodes die koolstofvoetspoor beïnvloed, wat die koolstofopsporing op maalvlak valideer.
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Greenhouse gas emissions, cost, and diet quality of specific diet patterns in the United States.
The American journal of clinical nutrition • 2023
Vergelyk koolstofvoetspore oor verskillende dieetpatrone, wat beduidende variasie en die belangrikheid van opvolging toon.
Glutenopsporing
Vir mense met coeliakie of gluten sensitiwiteit is dit noodsaaklik om gluten te vermy vir gesondheid. Navorsing toon dat selfs klein hoeveelhede gluten simptome en langtermyn skade by sensitiewe individue kan veroorsaak. Barcodeskandering en voedselanalise kan help om produkte wat gluten bevat te identifiseer, wat vinnige skandering bied om die nakoming van 'n gluten-vrye dieet te ondersteun. Terwyl die app aanwysers bied op grond van produk-inligting, is dit belangrik om te noem dat dit 'n skatter is en nie 'n vervanging vir sorgvuldige etiketlesing of mediese leiding nie.
Key Studies
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Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.
Nutrients • 2024
Hersien diagnostiese metodes vir coeliakie, met die klem op die belangrikheid van akkurate glutenopsporing vir diegene met coeliakie.
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Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].
Food chemistry • 2024
Hersien tegnologiese benaderings tot glutenopsporing in voedsel, wat die gebruik van voedselanalise ter ondersteuning van gluten-sifting bevorder.
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Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.
Nutrients • 2023
Toon die belangrikheid van die monitering van glutenblootstelling vir mense met coeliakie, wat die behoefte aan glutenopsporingstoestelle bevestig.
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Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.
Nutrients • 2023
Demonstreer die belangrikheid van vroeë opsporing en monitering van glutenblootstelling in die bestuur van coeliakie.
Vasvingsweergawes en Voorspellende Modellering
Intermitterende vas en tydbeperkte eet is dieetbenaderings wat eet tot spesifieke tydvensters beperk. Navorsing toon dat die voordele van hierdie benaderings grootliks bemiddel word deur totale kalorie-inname en konsekwentheid, eerder as net deur tyd. Voorspellende modellering help gebruikers om te sien hoe hul vaspatrone verband hou met hul gewigstendense en -voorspellings. Die toepassing verbind vasvensters terug na kalorie-begrotings, tendense en voorspellings, wat die verhouding tussen vas en uitkomste duidelik en uitvoerbaar maak.
Key Studies
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Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.
BMJ (Clinical research ed.) • 2025
Omvattende oorsig wat toon dat intermitterende vasstrategieë effektief is vir gewigsverlies, met voordele wat bemiddel word deur kalorievermindering.
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Time-restricted eating: Watching the clock to treat obesity.
Cell metabolism • 2024
Hersien tyd-beperkte eetnavorsing, wat toon dat die voordele hoofsaaklik te danke is aan kalorievermindering eerder as net die tydsberekening.
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Health Benefits of Intermittent Fasting.
Microbial physiology • 2024
Intermitterende vaslegging bied gesondheidsvoordele en ondersteun die integrasie van vasopsporing met kalorie- en gewigsbestuur.
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A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.
Obesity (Silver Spring, Md.) • 2023
Vergelyk verskillende vasbenaderings en toon aan dat almal effektief is wanneer hulle 'n kalorie-tekort skep, wat die verband tussen vas en energie-balans ondersteun.
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Clinical application of intermittent fasting for weight loss: progress and future directions.
Nature reviews. Endocrinology • 2022
Hersien kliniese bewyse vir intermitterende vas, met die klem op die feit dat uitkomste verband hou met kalorie-inname en die voorspellende modellering van vas-effekte ondersteun.
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Time-restricted Eating for the Prevention and Management of Metabolic Diseases.
Endocrine reviews • 2022
Omvattende oorsig van tyd-beperkte eet, wat die doeltreffendheid daarvan toon wanneer dit gekombineer word met kalorie-bewustheid en -opsporing.
Volledige Verwysings
Volledige lys van alle peer-reviewed verwysings. Merkers dui aan watter kenmerk(e) elke verwysing ondersteun.
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1Critical analysis of dual-energy x-ray absorptiometry-measured body composition changes with voluntary weight loss.Heymsfield SB, Ramirez S, Yang S et al. • Obesity (Silver Spring, Md.) • 2025[Calorie Deficit][Weight Forecast]
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2Exercise and eating motivation in weight loss maintenance: revisiting the motivational spillover with the NoHoW study.Palmeira AL, Carraça EV, Santos I et al. • Annals of behavioral medicine : a publication of the Society of Behavioral Medicine • 2025
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3Diet quality and environmental impact of university students' food choices at a South African university.Sahadeo S, Naicker A, Makanjana O et al. • Frontiers in nutrition • 2025[Carbon Footprint]
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4Considering greenhouse gas emissions from feed production in diet formulation for dairy cows as a means of reducing the carbon footprint.Managos M, Lindahl C, Agenäs S et al. • Animal : an international journal of animal bioscience • 2025[AI Food Scanner][Carbon Footprint]
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5Are healthier diets more sustainable? A cross-sectional assessment of 8 diet quality indexes and 7 sustainability metrics.Conrad Z, Thorne-Lyman AL, Wu S et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint]
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6Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study.Zhang R, Chiron S, Tyree R et al. • JMIR formative research • 2025[AI Food Scanner]
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7Extract Nutritional Information from Bilingual Food Labels Using Large Language Models.Assiri FY, Alahmadi MD, Almuashi MA et al. • Journal of imaging • 2025[AI Food Scanner]
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8Intermittent fasting strategies and their effects on body weight and other cardiometabolic risk factors: systematic review and network meta-analysis of randomised clinical trials.Semnani-Azad Z, Khan TA, Chiavaroli L et al. • BMJ (Clinical research ed.) • 2025[Fasting View]
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9DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models.Yan R, Luo H, Lu J et al. • Communications medicine • 2025[AI Food Scanner]
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10Retinopathy of Prematurity.Kaur K, Mikes BA • Journal • 2025
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11Machine learning for forecasting initial seizure onset in neonatal hypoxic-ischemic encephalopathy.Bernardo D, Kim J, Cornet MC et al. • Epilepsia • 2025[Weight Forecast]
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12Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.Shi C, Zeng X, Ge J et al. • Bone marrow transplantation • 2025[Weight Forecast]
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13Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.Davies KP, Gibney ER, Leonard UM et al. • The American journal of clinical nutrition • 2025[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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14Sustainable Breastfeeding: A State-of-the Art Review.Bai YK, Alsaidi M • Journal of human lactation : official journal of International Lactation Consultant Association • 2024
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15Environmental and Health Sustainability of the Mediterranean Diet: A Systematic Review.Lorca-Camara V, Bosque-Prous M, Bes-Rastrollo M et al. • Advances in nutrition (Bethesda, Md.) • 2024[AI Food Scanner][Carbon Footprint]
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16[Analysis of food carbon footprint and its socio-demographic disparities in China in 2018].Hong X, Li W, Wang L et al. • Wei sheng yan jiu = Journal of hygiene research • 2024[Carbon Footprint]
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17The impact of slaughter weight and sex on the carbon footprint of pig feed intake.De Cuyper C, Van den Broeke A, Van Linden V et al. • Animal : an international journal of animal bioscience • 2024
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18Diagnostic Accuracy of IgA Anti-Transglutaminase Assessed by Chemiluminescence: A Systematic Review and Meta-Analysis.Pjetraj D, Pulvirenti A, Moretti M et al. • Nutrients • 2024
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19Recent advancements in the sensors for food analysis to detect gluten: A mini-review [2019-2023].Jain S, Lamba BY, Dubey SK • Food chemistry • 2024[Gluten Detection]
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20Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.Chotwanvirat P, Prachansuwan A, Sridonpai P et al. • Current developments in nutrition • 2024[AI Food Scanner][AI Food Scanner]
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21Time-restricted eating: Watching the clock to treat obesity.Ezpeleta M, Cienfuegos S, Lin S et al. • Cell metabolism • 2024[Fasting View]
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22Health Benefits of Intermittent Fasting.Reddy BL, Reddy VS, Saier MH Jr • Microbial physiology • 2024[Fasting View]
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23Effect of intermittent fasting 16:8 and 14:10 compared with control-group on weight reduction and metabolic outcomes in obesity with type 2 diabetes patients: A randomized controlled trial.Sukkriang N, Buranapin S • Journal of diabetes investigation • 2024[Fasting View]
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24Interpretable machine learning model for new-onset atrial fibrillation prediction in critically ill patients: a multi-center study.Guan C, Gong A, Zhao Y et al. • Critical care (London, England) • 2024[Weight Forecast]
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25Machine learning based clinical prediction model for 1-year mortality in Sepsis patients with atrial fibrillation.Meng H, Guo L, Pan Y et al. • Heliyon • 2024[Weight Forecast]
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26Machine learning for air quality index (AQI) forecasting: shallow learning or deep learning?Kalantari E, Gholami H, Malakooti H et al. • Environmental science and pollution research international • 2024[Weight Forecast]
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27Health outcomes, environmental impacts, and diet costs of adherence to the EAT-Lancet Diet in China in 1997-2015: a health and nutrition survey.Cai H, Talsma EF, Chang Z et al. • The Lancet. Planetary health • 2024[Carbon Footprint]
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28Adherence to a Planetary Health Diet, Environmental Impacts, and Mortality in Chinese Adults.Ye YX, Geng TT, Zhou YF et al. • JAMA network open • 2023[Carbon Footprint]
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29Environmental impacts and diet quality of popular diet models compared to Turkey's national nutrition guidelines.Kemaloglu M, Öner N, Soylu M • Nutrition & dietetics : the journal of the Dietitians Association of Australia • 2023[Carbon Footprint]
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30Forage based diet as an alternative to a high concentrate diet for finishing young bulls - Effects on growth performance, greenhouse gas emissions and meat quality.Santos-Silva J, Alves SP, Francisco A et al. • Meat science • 2023[Carbon Footprint]
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31Evaluation of the Usefulness of an Automatable Immunoassay for Monitoring Celiac Disease by Quantification of Immunogenic Gluten Peptides in Urine.Segura V, Ruiz-Carnicer Á, Mendía I et al. • Nutrients • 2023[Gluten Detection]
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32Rapid Anti-tTG-IgA Screening Test for Early Diagnosis of Celiac Disease in Pediatric Populations.Mendia I, Segura V, Ruiz-Carnicer Á et al. • Nutrients • 2023[Gluten Detection]
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33Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.Hu G, Ahmed M, L'Abbé MR • The American journal of clinical nutrition • 2023[Weight Forecast][AI Food Scanner][AI Food Scanner]
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34A meta-analysis comparing the effectiveness of alternate day fasting, the 5:2 diet, and time-restricted eating for weight loss.Elortegui Pascual P, Rolands MR, Eldridge AL et al. • Obesity (Silver Spring, Md.) • 2023[Fasting View]
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35Intermittent fasting plus early time-restricted eating versus calorie restriction and standard care in adults at risk of type 2 diabetes: a randomized controlled trial.Teong XT, Liu K, Vincent AD et al. • Nature medicine • 2023[Budget-Based Calories][Calorie Deficit][Fasting View]
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36[Intermittent fasting and human metabolic health].Carvajal V, Marín A, Gihardo D et al. • Revista medica de Chile • 2023[Fasting View]
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37Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.Ferreras A, Sumalla-Cano S, Martínez-Licort R et al. • Journal of medical systems • 2023[Weight Forecast][Weight Forecast][Weight Forecast]
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38Machine learning augmentation reduces prediction error in collective forecasting: development and validation across prediction markets with application to COVID events.Gruen A, Mattingly KR, Morwitch E et al. • EBioMedicine • 2023[Weight Forecast]
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39A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons.Giamarelos N, Papadimitrakis M, Stogiannos M et al. • Sensors (Basel, Switzerland) • 2023[Weight Forecast]
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40Accurate prediction of calving in dairy cows by applying feature engineering and machine learning.Vázquez-Diosdado JA, Gruhier J, Miguel-Pacheco GG et al. • Preventive veterinary medicine • 2023[Weight Forecast]
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41Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.Wang Y, Ni B, Xiao Y et al. • Frontiers in cardiovascular medicine • 2023[Weight Forecast]
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42Population Pharmacokinetic Modeling Combined With Machine Learning Approach Improved Tacrolimus Trough Concentration Prediction in Chinese Adult Liver Transplant Recipients.Li ZR, Li RD, Niu WJ et al. • Journal of clinical pharmacology • 2023[Weight Forecast]
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43The importance of eggs in an environmentally sustainable diet.Mason P • Nutrition bulletin • 2023[AI Food Scanner][Carbon Footprint][Carbon Footprint]
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44Carbon dioxide (CO(2)) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index.García S, Bouzas C, Mateos D et al. • Environmental health : a global access science source • 2023[Carbon Footprint]
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45Carbon Footprint of Away-From-Home Food Consumption in Brazilian Diet.Bezerra IN, Verde SMML, Almeida BS et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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46Water-Food-Carbon Nexus Related to the Producer-Consumer Link: A Review.Wang J, Sun S, Yin Y et al. • Advances in nutrition (Bethesda, Md.) • 2022[Carbon Footprint]
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47Ultra-processed food intake and diet carbon and water footprints: a national study in Brazil.Garzillo JMF, Poli VFS, Leite FHM et al. • Revista de saude publica • 2022[Carbon Footprint]
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48Cooking at Home, Fast Food, Meat Consumption, and Dietary Carbon Footprint among US Adults.Wolfson JA, Willits-Smith AM, Leung CW et al. • International journal of environmental research and public health • 2022[Carbon Footprint]
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49Food purchase behaviour in a Finnish population: patterns, carbon footprints and expenditures.Meinilä J, Hartikainen H, Tuomisto HL et al. • Public health nutrition • 2022[Carbon Footprint]
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50The positive climate impact of the Mediterranean diet and current divergence of Mediterranean countries towards less climate sustainable food consumption patterns.Castaldi S, Dembska K, Antonelli M et al. • Scientific reports • 2022[AI Food Scanner][Carbon Footprint]
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51Single-item substitutions can substantially reduce the carbon and water scarcity footprints of US diets.Rose D, Willits-Smith AM, Heller MC • The American journal of clinical nutrition • 2022[Carbon Footprint]
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52Carbon Footprint Reduction by Transitioning to a Diet Consistent with the Danish Climate-Friendly Dietary Guidelines: A Comparison of Different Carbon Footprint Databases.Trolle E, Nordman M, Lassen AD et al. • Foods (Basel, Switzerland) • 2022[Carbon Footprint]
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53Clinical application of intermittent fasting for weight loss: progress and future directions.Varady KA, Cienfuegos S, Ezpeleta M et al. • Nature reviews. Endocrinology • 2022[Fasting View]
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54Intermittent Fasting and Metabolic Health.Vasim I, Majeed CN, DeBoer MD • Nutrients • 2022[Fasting View]
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55Effectiveness of Early Time-Restricted Eating for Weight Loss, Fat Loss, and Cardiometabolic Health in Adults With Obesity: A Randomized Clinical Trial.Jamshed H, Steger FL, Bryan DR et al. • JAMA internal medicine • 2022[Fasting View]
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56Intermittent Fasting versus Continuous Calorie Restriction: Which Is Better for Weight Loss?Zhang Q, Zhang C, Wang H et al. • Nutrients • 2022[Budget-Based Calories][Calorie Deficit][Fasting View]
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57Intermittent Fasting in Weight Loss and Cardiometabolic Risk Reduction: A Randomized Controlled Trial.Chair SY, Cai H, Cao X et al. • The journal of nursing research : JNR • 2022[Fasting View]
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58Time-restricted Eating for the Prevention and Management of Metabolic Diseases.Manoogian ENC, Chow LS, Taub PR et al. • Endocrine reviews • 2022[Fasting View]
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59Time restricted eating for the prevention of type 2 diabetes.Cienfuegos S, McStay M, Gabel K et al. • The Journal of physiology • 2022
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60Design of Machine Learning Algorithm for Tourism Demand Prediction.Yu N, Chen J • Computational and mathematical methods in medicine • 2022[Weight Forecast]