Evaluation of a Novel Single-administration Food Frequency Questionnaire for Assessing Seasonally Varied Dietary Patterns among Women in Rural Nepal

Datos Bibliográficos

ID14722367
AutoresRebecca K Campbell (0000-0002-6466-1516, Johns Hopkins University), Sameera A Talegawkar (0000-0003-2612-5728, Johns Hopkins University), Polly Christian (0000-0002-2908-1030, Johns Hopkins University), Parul Christian, Steven C Leclerq (Johns Hopkins University), Subarna K Khatry (Nepal Red Cross Society), Lee Wu (0009-0005-5825-7161, Johns Hopkins University), Lee S F Wu, Christine P Stewart (0000-0003-4575-8571, University of California, Davis), Keith P West (0000-0001-9458-362X, Johns Hopkins University, autor de correspondencia)
Año2015
Volumen54
Número4
Páginas314-327
Fecha de publicación2015-07-04
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaEcology of Food and Nutrition (JOURNAL)
Identificadores de la revistaISSN: 0367-0244 • E-ISSN: 1543-5237
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03670244.2014.990635
PMID25679094
OpenAlexW1984241343
IdiomaEN
Citas recibidas2
Referencias citadas15

Novel dietary assessment methods are needed to study chronic disease risk in agrarian cultures where food availability is highly seasonal. In 16,320 rural Nepalese women, we tested a novel food frequency questionnaire, administered once, to assess past 7-day intake and usual frequency of intake throughout the year for year-round foods and when in season for seasonal foods. Spearman rank correlations between usual and past 7-day intakes were 0.12-0.85 and weighted kappa statistics, representing chance-corrected agreement, were 0.10-0.80, with better agreement for frequently consumed foods. The questionnaire performed well, but may require refinement for settings of extremely low dietary diversity

Agriculture · Dietary diversity · Environmental health · Food frequency questionnaire · Food group · Food intake · Food security · Geography · Kappa · Child Nutrition and Water Access · Demography · Food Security and Health in Diverse Populations · Mathematics · Medicine · Nutritional Studies and Diet