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Acknowledgments

The Global Burden of Disease attributable to excess salt intake: estimating exposures and effects John Powles and Saman Fahimi Department of Public Health and Primary Care, University of Cambridge, CB2 0SR. Methods (cont) 4. Effect estimation

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Acknowledgments

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  1. The Global Burden of Disease attributable to excess salt intake: estimating exposures and effects John Powles and Saman Fahimi Department of Public Health and Primary Care, University of Cambridge, CB2 0SR Methods (cont) 4. Effect estimation i. Stomach cancer: World Cancer Research Fund (WCRF) meta-analysis1 (risk related to intakes) ii. Usual sbp – mean and (inter-individual) standard deviation (effect related to urinary excretion)Meta-analysis of sodium reduction RCTs of >4 wks2, re-analysed for mean effect by age. Assumed linear down to optimal exposure. Common to both sexes (for energy adjusted exposures). • Methods (cont) • Effect modification • By sex: exposure levels adjusted to mean energy intake of both sexes • By race: slope adjusted for African ancestry (+3.5 mmHg at age 50 per 100 mmol of daily urinary Na excretion) (2 RCTs) • Effects of changes in usual sbp and associated uncertainty propagated forward by blood pressure group of the GBD Study to estimate outcomes attributable to higher than optimal salt intakes. • ntroduction • Adding salt to food is not part of our evolutionary background and evidence that it harms health is persuasive. • We are making the first global estimates of health losses attributable to excess salt intake as members of the Nutrition and Chronic Disease Expert Group in the current iteration of the Global Burden of Disease, Injuries, and Risk Factors (GBD) Study. Estimates of burdens in 1990 and 2005, attributable to a wide range of risk factors, are due to be reported later this year Results (work is ongoing.) Global sodium exposure , Central Europe as a sample GBD Study region. • Materials and methods • 1. Identified causal effects • Direct: stomach cancer • Mediated: usual systolic blood pressure (sbp) • 2. Analytic approach • Comparative Risk Assessment • Attributable, not avoidable risk i.e. optimal exposure as counterfactual with no modeling of temporal transition. • 3. Exposure estimation • Age and sex specific estimates for 21 GBD Study regions using best available data. • Preferred: 24-hr urinary excretion (assumed to be 0.9 * intake) • Imputed where data missing Conclusions (Provisional) Preparing central estimates of the GBD attributable to higher than optimal sodium intakes is feasible. The most difficult outstanding challenge is estimating the uncertainty around these estimates. Literature cited 1. World Cancer Research Fund / American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. Washington, DC: American Institute for Cancer Research; 2007. 2. He FJ, MacGregor GA. Effect of modest salt reduction on blood pressure: a meta-analysis of randomized trials. Implications for public health. J Hum.Hypertens. 2002 Nov;16(11):761-70. Acknowledgments We thank members of Nutrition and Chronic Disease of the GBD Study expert panel (D. Mozzaffarin, M. Ezzati, R. Micha, G. Danaie), and the advisory expert panel on salt and chronic disease (G. MacGregor, P. Elliot, M. Law, B. Neal, I. Brawn, and F. He.)

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