Investigating the role of lifestyle in the aetiology of non-communicable chronic diseases, diet is certainly one of the most difficult attributes to measure. Eating habits have been associated with several preventable diseases, among obesity, and earlier mortality. The complex interactions between foods and nutrients have an important role in preventing diseases. Thereby, the simplistic approaches of food/nutrient intake was replaced by innovative multivariate approaches that can be summed up into two groups: hypothesis driven and data driven. Diet quality indexes and Dietary patterns are main examples of these approaches, respectively. Examining the dietary habits at overall or meal levels in relation to several characteristics such as socioeconomic and demographic status, adiposity gain and weight status, and other disease status are a gap that needs to be further understood. Considering valid data from national surveys, such analyses can support the formulation and an effective evaluation of food and dietary guidelines, and public health policies in a more realistic way.
This Research Topic has the purpose of investigating the diet quality or dietary patterns in national surveys at overall or meal levels, in order to add knowledge for public health policies. Dietary patterns or Diet quality indexes may be associated with population characteristics, such as socioeconomic status, nutritional status or disease status, which may play an important role in health promotion strategy. As a secondary goal, this research topic may bring attention to the relevance of National Dietary Surveys to give support to public health policies, which may be relevant to justify developing further national representative data collection.
Original articles and systematic reviews providing knowledge to the topic will be welcome. The target of this topic will be research involving dietary patterns or diet quality indexes in national and representative surveys considering hypothesis or data driven studies. Diet exposure should be estimated at meal or overall levels, and should be associated with health promotion policies. The relevance of the study and the robustness of the methods will be assessed by the editor.
Investigating the role of lifestyle in the aetiology of non-communicable chronic diseases, diet is certainly one of the most difficult attributes to measure. Eating habits have been associated with several preventable diseases, among obesity, and earlier mortality. The complex interactions between foods and nutrients have an important role in preventing diseases. Thereby, the simplistic approaches of food/nutrient intake was replaced by innovative multivariate approaches that can be summed up into two groups: hypothesis driven and data driven. Diet quality indexes and Dietary patterns are main examples of these approaches, respectively. Examining the dietary habits at overall or meal levels in relation to several characteristics such as socioeconomic and demographic status, adiposity gain and weight status, and other disease status are a gap that needs to be further understood. Considering valid data from national surveys, such analyses can support the formulation and an effective evaluation of food and dietary guidelines, and public health policies in a more realistic way.
This Research Topic has the purpose of investigating the diet quality or dietary patterns in national surveys at overall or meal levels, in order to add knowledge for public health policies. Dietary patterns or Diet quality indexes may be associated with population characteristics, such as socioeconomic status, nutritional status or disease status, which may play an important role in health promotion strategy. As a secondary goal, this research topic may bring attention to the relevance of National Dietary Surveys to give support to public health policies, which may be relevant to justify developing further national representative data collection.
Original articles and systematic reviews providing knowledge to the topic will be welcome. The target of this topic will be research involving dietary patterns or diet quality indexes in national and representative surveys considering hypothesis or data driven studies. Diet exposure should be estimated at meal or overall levels, and should be associated with health promotion policies. The relevance of the study and the robustness of the methods will be assessed by the editor.