Assessing dietary intakes from household budget surveys: A national analysis in Bangladesh

• Published in: PloS one 2018-08, Vol.13 (8), p.e0202831-e0202831
• Main Authors: Karageorgou, Dimitra, Imamura, Fumiaki, Zhang, Jianyi, Shi, Peilin, Mozaffarian, Dariush, Micha, Renata
• Format: Article
• Language: English
• Subjects: Adolescent; Adolescents; Adult; Adults; Age; Ascorbic acid; Bangladesh; Biology and Life Sciences; Carbohydrates; Child; Children; Correlation; Diet; Diet Surveys; Dietary intake; Education; Endocrinology; Energy Intake; Estimates; Family Characteristics; Family resource management; Fats; Feeding Behavior; Female; Food; Food groups; Food sources; Heterogeneity; Households; Humans; Income; Indicators; Male; Malnutrition; Medicine and Health Sciences; Metabolism; Micronutrients; Micronutrients - administration & dosage; Middle Aged; Mortality; Nutrients; Nutrition; Nutrition Surveys; People and Places; Polls & surveys; Population; Regression analysis; Regression models; Religion; Seafood; Social Sciences; Strata; Surveys; Teaching methods; Validity; Vitamin C; Womens health; Young Adult
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0202831

Accurate national information on dietary intakes, including heterogeneity among individuals, is critical to inform health implications and policy priorities. In low- and middle-income countries, household expenditure surveys constitute the major source of food data, but with uncertain validity for individual-level intakes. To investigate how individualized dietary consumption estimated from household survey data compared with individual-level 24-hr dietary recalls (24hR); and to assess potential heterogeneity by method for individualizing household intakes, dietary indicator, and individual characteristics (age, sex, education, religion, household income). We evaluated data from the 2011-2012 Bangladesh Household Integrated Survey (BIHS), which included household-level consumption data (5,503 households) and individual-level dietary data based on 24hR from these households (22,173 participants). Household and 24hR estimates were standardized and harmonized for 33 dietary indicators, including 9 food groups, total energy, 8 macronutrients, and 15 micronutrients. Individual consumption was estimated from household data using two approaches, the Adult Male Equivalent (AME) and per capita (PC) approach. For each dietary indicator, differences in household vs. individual mean estimates were evaluated overall and by strata of individual characteristics, using Spearman's correlations and univariate and multivariate linear regression models. Individualized household estimates overestimated individual intakes from 24hR for all dietary factors using either estimation method (P