Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
King Abdulaziz University · University of Aberdeen · +83 more institutions
Abstract
Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the…
Citation impact
- FWCI
- 62.15
- Percentile
- 100%
- References
- 52
Authors
98- RBRania Bajunaid
King Abdulaziz University, University of Aberdeen
- CNChaoqun Niu
Chinese Academy of Sciences, Institute of Genetics and Developmental Biology, Shenzhen Institutes of Advanced Technology
- CHCatherine Hambly
University of Aberdeen
- ZLZongfang Liu
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- YYYosuke YamadaCorresponding
Tohoku University
Topics & keywords
- National Health and Nutrition Examination Survey
- Spurious relationship
- Doubly labeled water
- Statistics
- Environmental health
- Body mass index
- Structural equation modeling
- Regression analysis