{"title":"预测方程有助于估计饮食调查中能量摄入的误报","authors":"R. James Stubbs, Mark Hopkins","doi":"10.1038/s43016-024-01090-y","DOIUrl":null,"url":null,"abstract":"Misreporting of dietary intake under free-living conditions in nutritional epidemiological studies can’t be easily captured. A predictive equation for total daily energy expenditure derived from the largest doubly labelled water dataset to date can help improve evaluation of the accuracy of self-reported dietary intake.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"6 1","pages":"8-9"},"PeriodicalIF":23.6000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive equation helps estimate misreporting of energy intakes in dietary surveys\",\"authors\":\"R. James Stubbs, Mark Hopkins\",\"doi\":\"10.1038/s43016-024-01090-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Misreporting of dietary intake under free-living conditions in nutritional epidemiological studies can’t be easily captured. A predictive equation for total daily energy expenditure derived from the largest doubly labelled water dataset to date can help improve evaluation of the accuracy of self-reported dietary intake.\",\"PeriodicalId\":94151,\"journal\":{\"name\":\"Nature food\",\"volume\":\"6 1\",\"pages\":\"8-9\"},\"PeriodicalIF\":23.6000,\"publicationDate\":\"2025-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature food\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43016-024-01090-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature food","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43016-024-01090-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Predictive equation helps estimate misreporting of energy intakes in dietary surveys
Misreporting of dietary intake under free-living conditions in nutritional epidemiological studies can’t be easily captured. A predictive equation for total daily energy expenditure derived from the largest doubly labelled water dataset to date can help improve evaluation of the accuracy of self-reported dietary intake.
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