Household-level dietary quality indicator for countries in nutritional transition: application to vulnerable communities in El Salvador

Public Health Nutr. 2014 Mar;17(3):529-36. doi: 10.1017/S1368980013000426. Epub 2013 Apr 9.

Abstract

Objective: To develop a household-level diet quality indicator (HDQI) using the Salvadorian dietary guidelines to assess the dietary quality of households in vulnerable communities in El Salvador.

Design: The Salvadorian dietary guidelines were reviewed and eighteen HDQI components were identified (nine foods and nine nutrients). The components were evaluated using a proportional scoring system from 0 to 1, penalizing over- and under-consumption, where appropriate. The HDQI was validated in consultations with experts in El Salvador and by statistical analyses of the study sample data. Dietary variety and energy, nutrient and food intakes were compared among households above and below the median HDQI score using Student's t test.

Setting: Vulnerable, border communities in El Salvador.

Subjects: Households (n 140) provided food consumption information using an FFQ and sociodemographic data.

Results: The mean HDQI score was 63·5, ranging from 43·6 to 90·0. The indicator showed a positive, significant association with the dietary variety components. The statistical associations of the indicator with the energy and nutrient components were as expected.

Conclusions: Based on the indicator's demonstrated face validity and the results of the expert consultations, the indicator is suggested as a good measure of diet quality for households in El Salvador.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Diet / standards*
  • El Salvador / epidemiology
  • Energy Intake / physiology
  • Female
  • Food Supply / standards
  • Health Transition*
  • Humans
  • Linear Models
  • Male
  • Malnutrition / epidemiology
  • Middle Aged
  • Nutrition Assessment
  • Nutritional Status*
  • Residence Characteristics*
  • Rural Population
  • Seasons
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Vulnerable Populations / psychology
  • Vulnerable Populations / statistics & numerical data*