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M de Onis

Researcher at World Health Organization

Publications -  19
Citations -  4056

M de Onis is an academic researcher from World Health Organization. The author has contributed to research in topics: Population & Pregnancy. The author has an hindex of 19, co-authored 19 publications receiving 3821 citations.

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Journal ArticleDOI

Anthropometric reference data for international use: recommendations from a World Health Organization Expert Committee.

TL;DR: The World Health Organization convened an Expert Committee to reevaluate the use of anthropometry at different ages for assessing health, nutrition, and social wellbeing, and noted that few normative anthropometric data exist for the elderly, especially for those > 80 y of age.
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Prevalence and trends of overweight among preschool children in developing countries

TL;DR: Estimates show that attention should be paid to monitoring levels and trends of overweight in children, however, not at the expense of decreasing international commitments to alleviating undernutrition.
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Is malnutrition declining? An analysis of changes in levels of child malnutrition since 1980.

TL;DR: The data presented provide a baseline for assessing progress and help identify countries and regions in need of populationwide interventions and approaches to lower child malnutrition should be based on successful nutrition programmes and policies.
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Defining obesity risk status in the general childhood population: Which cut-offs should we use?

TL;DR: The prevalence of overweight and obesity in children has increased worldwide and is associated with impaired health during childhood itself, including increased risk of hypertension, insulin resistance, fatty liver disease, orthopaedic dysfunction and psycho-social distress, which may continue untreated for many years.
Journal Article

Issues in the assessment of nutritional status using anthropometry.

TL;DR: Four issues in the use and interpretation of anthropometry are discussed at the level of the population and of the individual, and proposed criteria are provided to assess the severity of low anthropometry within populations.