Association between home and school food environments and dietary patterns among 9–11-year-old children in 12 countries
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Global food retail environments are increasingly dominated by large chains and linked to the rising prevalence of obesity
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State-level policies alone are insufficient to meet the federal food waste reduction goal in the United States
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Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake
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 equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index.
Governance and resilience as entry points for transforming food systems in the countdown to 2030
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