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Studies assessing food consumption by the scores method: a systematic review
Raphaela Costa Ferreira1, Lídia Bezerra Barbosa1, Sandra Mary Lima Vasconcelos1
1Laboratório de Nutrição em Cardiologia, Faculdade de Nutrição, Universidade Federal de Alagoas. Av. Lourival de Melo Mota, Tabuleiro dos Martins. 57072-970 Maceió AL Brasil. raphinhacosta2010@hotmail.com.
The Fornés et al. scores method effectively assesses food consumption patterns. This method allows for establishing links between dietary habits and various health and socioeconomic factors.
Area of Science:
- Nutrition Science
- Public Health
- Dietary Assessment
Background:
- Evaluating food consumption patterns is crucial for understanding dietary habits and their health implications.
- The scores method by Fornés et al. (2002) offers a quantitative approach to assess food consumption.
- Systematic reviews are essential for synthesizing evidence on the utility of specific dietary assessment tools.
Purpose of the Study:
- To systematically review studies utilizing the Fornés et al. scores method for food consumption evaluation.
- To discuss the efficacy of this method in assessing food patterns.
- To explore the method's utility in identifying associations with health and socioeconomic variables.
Main Methods:
- Systematic literature search of Medline, Lilacs, and Scielo databases (2002-2016).
- Inclusion of studies using the Fornés et al. scores method for food consumption assessment.
- Selection of 14 relevant articles after initial screening of 8300 items.
Main Results:
- The Fornés et al. scores method was employed in 14 selected studies.
- Studies utilized diverse food groupings and examined associations with anthropometric, socioeconomic, and biochemical variables.
- The method demonstrated capability in evaluating food patterns.
Conclusions:
- The scores method by Fornés et al. is a valid tool for evaluating food patterns.
- This method facilitates the establishment of associations between dietary patterns and anthropometric, biochemical, socioeconomic, and clinical variables.
- The method aids in understanding the impact of diet on health outcomes.
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