학술논문

Systematic review of metrics used to characterise dietary nutrient supply from household consumption and expenditure surveys
Document Type
article
Source
Public Health Nutrition. 25(5)
Subject
Public Health
Biomedical and Clinical Sciences
Nutrition and Dietetics
Health Sciences
Nutrition
2.3 Psychological
social and economic factors
Aetiology
Cardiovascular
Cancer
Oral and gastrointestinal
Stroke
Metabolic and endocrine
Dietary assessment
Metrics
Nutrients
Household Consumption and Expenditure Survey
Equity
Medical and Health Sciences
Nutrition & Dietetics
Biomedical and clinical sciences
Health sciences
Language
Abstract
ObjectiveTo review existing publications using Household Consumption and Expenditure Survey (HCES) data to estimate household dietary nutrient supply to (1) describe scope of available literature, (2) identify the metrics reported and parameters used to construct these metrics, (3) summarise comparisons between estimates derived from HCES and individual dietary assessment data and (4) explore the demographic and socio-economic sub-groups used to characterise risks of nutrient inadequacy.DesignThis study is a systematic review of publications identified from online databases published between 2000 to 2019 that used HCES food consumption data to estimate household dietary nutrient supply. Further publications were identified by 'snowballing' the references of included database-identified publications.SettingPublications using data from low- and lower-middle income countries.ResultsIn total, fifty-eight publications were included. Three metrics were reported that characterised household dietary nutrient supply: apparent nutrient intake per adult-male equivalent per day (n 35), apparent nutrient intake per capita per day (n 24) and nutrient density (n 5). Nutrient intakes were generally overestimated using HCES food consumption data, with several studies finding sizeable discrepancies compared with intake estimates based on individual dietary assessment methods. Sub-group analyses predominantly focused on measuring variation in household dietary nutrient supply according to socio-economic position and geography.ConclusionHCES data are increasingly being used to assess diets across populations. More research is needed to inform the development of a framework to guide the use of and qualified interpretation of dietary assessments based on these data.