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1. The prevalence of anaemia depends on the definition: an example from the Aboriginal Birth Cohort Study.

2. Comparing four methods to estimate usual intake distributions.

3. Comparative ecologic relationships of saturated fat, sucrose, food groups, and a Mediterranean food pattern score to 50-year coronary heart disease mortality rates among 16 cohorts of the Seven Countries Study.

4. Should Europe follow the US and declare obesity a disease?: a discussion of the so-called utilitarian argument.

5. Chocolate intake and diabetes risk in postmenopausal American women.

6. Consumption of soy foods and isoflavones and risk of type 2 diabetes: a pooled analysis of three US cohorts.

7. Prevalence of weakness and its relationship with limitations based on the Foundations for the National Institutes for Health project: data from the Health and Retirement Study.

8. Voluntary food fortification in the United States: potential for excessive intakes.

9. Variation in childhood and adolescent obesity prevalence defined by international and country-specific criteria in England and the United States.

10. Comparison of nutrient intakes from two selected diet plans considered healthful versus the cutoff points for green lights as defined by the UK's multiple traffic light scheme.

11. Age, sex and ethnic differences in the prevalence of underweight and overweight, defined by using the CDC and IOTF cut points in Asian children.

12. Should nutrient profiles be based on 100 g, 100 kcal or serving size?

13. Basal metabolic rate of Brazilians living in the Southwestern United States.

14. Healthy Eating Index and obesity.

15. Diet during pregnancy in relation to maternal weight gain and birth size.

16. C-reactive protein concentration and concentrations of blood vitamins, carotenoids, and selenium among United States adults.

17. Approach of the US Food and Nutrition Board to daily nutrient requirements: `A useful basis for...

18. Guidelines for sugar consumption in Europe: Is a quantitative approach justified?

20. Deep data science to prevent and treat growth faltering in Maya children.