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Using Short Dietary Questions to Develop Indicators of Dietary Behaviour for Use in Surveys Exploring Attitudinal and/or Behavioural Aspects of Dietary Choices.

Daly A, Pollard CM, Kerr DA, Binns CW, Phillips M - Nutrients (2015)

Bottom Line: Both yield mean scores similar to an established dietary index validated against nutrient intake.The results confirm that short dietary questions can be used to develop healthful eating indicators against dietary recommendations.This will enable the exploration of dietary behaviours for "at risk" groups, such as those with excess weight, leading to more relevant interventions for populations.

View Article: PubMed Central - PubMed

Affiliation: School of Public Health, Curtin University, Kent Street, Perth 6845, Australia. Alison.Daly@curtin.edu.au.

ABSTRACT
For countries where nutrition surveys are infrequent, there is a need to have some measure of healthful eating to plan and evaluate interventions. This study shows how it is possible to develop healthful eating indicators based on dietary guidelines from a cross sectional population survey. Adults 18 to 64 years answered questions about the type and amount of foods eaten the previous day, including fruit, vegetables, cereals, dairy, fish or meat and fluids. Scores were based on serves and types of food according to an established method. Factor analysis indicated two factors, confirmed by structural equation modeling: a recommended food healthful eating indicator (RF_HEI) and a discretionary food healthful eating indicator (DF_HEI). Both yield mean scores similar to an established dietary index validated against nutrient intake. Significant associations for the RF_HEI were education, income, ability to save, and attitude toward diet; and for the DF_HEI, gender, not living alone, living in a socially disadvantaged area, and attitude toward diet. The results confirm that short dietary questions can be used to develop healthful eating indicators against dietary recommendations. This will enable the exploration of dietary behaviours for "at risk" groups, such as those with excess weight, leading to more relevant interventions for populations.

No MeSH data available.


Related in: MedlinePlus

Distribution of the DGI score, NMSS 2012.
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nutrients-07-05287-f001: Distribution of the DGI score, NMSS 2012.

Mentions: The initial NMSS_HEI score showed a wide distribution of scores that has no statistically significant departures from normality for kurtosis but is significantly negatively skewed (Figure 1). The exploratory factor analysis showed two factors, one which reflected the recommended components of the DGI, namely the variety, fruits, vegetables, grains, cereals, dairy, protein, and fluids and one that reflected the discretionary components of the total NMSS_HEI, namely fats, sugar, and additional serves.


Using Short Dietary Questions to Develop Indicators of Dietary Behaviour for Use in Surveys Exploring Attitudinal and/or Behavioural Aspects of Dietary Choices.

Daly A, Pollard CM, Kerr DA, Binns CW, Phillips M - Nutrients (2015)

Distribution of the DGI score, NMSS 2012.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4555126&req=5

nutrients-07-05287-f001: Distribution of the DGI score, NMSS 2012.
Mentions: The initial NMSS_HEI score showed a wide distribution of scores that has no statistically significant departures from normality for kurtosis but is significantly negatively skewed (Figure 1). The exploratory factor analysis showed two factors, one which reflected the recommended components of the DGI, namely the variety, fruits, vegetables, grains, cereals, dairy, protein, and fluids and one that reflected the discretionary components of the total NMSS_HEI, namely fats, sugar, and additional serves.

Bottom Line: Both yield mean scores similar to an established dietary index validated against nutrient intake.The results confirm that short dietary questions can be used to develop healthful eating indicators against dietary recommendations.This will enable the exploration of dietary behaviours for "at risk" groups, such as those with excess weight, leading to more relevant interventions for populations.

View Article: PubMed Central - PubMed

Affiliation: School of Public Health, Curtin University, Kent Street, Perth 6845, Australia. Alison.Daly@curtin.edu.au.

ABSTRACT
For countries where nutrition surveys are infrequent, there is a need to have some measure of healthful eating to plan and evaluate interventions. This study shows how it is possible to develop healthful eating indicators based on dietary guidelines from a cross sectional population survey. Adults 18 to 64 years answered questions about the type and amount of foods eaten the previous day, including fruit, vegetables, cereals, dairy, fish or meat and fluids. Scores were based on serves and types of food according to an established method. Factor analysis indicated two factors, confirmed by structural equation modeling: a recommended food healthful eating indicator (RF_HEI) and a discretionary food healthful eating indicator (DF_HEI). Both yield mean scores similar to an established dietary index validated against nutrient intake. Significant associations for the RF_HEI were education, income, ability to save, and attitude toward diet; and for the DF_HEI, gender, not living alone, living in a socially disadvantaged area, and attitude toward diet. The results confirm that short dietary questions can be used to develop healthful eating indicators against dietary recommendations. This will enable the exploration of dietary behaviours for "at risk" groups, such as those with excess weight, leading to more relevant interventions for populations.

No MeSH data available.


Related in: MedlinePlus