Refinement and validation of an FFQ developed to estimate macro- and micronutrient intakes in a south Indian population

Datos Bibliográficos

ID15097673
AutoresRomaina Iqbal (0000-0002-5364-4366, Aga Khan University, autor de correspondencia), Kamalasanan Ajayan, Ajayan Kamalasanan (0000-0003-2389-250X, Health Action by People), Ankalmadagu Venkatasubbareddy Bharathi (St. John's National Academy of Health Sciences), Xiaohe Zhang (0000-0002-7324-0529, Population Health Research Institute), Shofiqul Islam (0000-0001-8196-8598, Population Health Research Institute), Chitthakkudam R Soman (Health Action by People), Anwar T Merchant (0000-0003-1045-5079, Population Health Research Institute)
Año2009
Volumen12
Número1
Páginas12-18
Fecha de publicación2009-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Health Nutrition (JOURNAL)
Identificadores de la revistaISSN: 1368-9800 • E-ISSN: 1475-2727
EditorialCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980008001845
PMID18325134
OpenAlexW2109138104
IdiomaEN
Citas recibidas6
Referencias citadas22

Objective Potential error sources in nutrient estimation with the FFQ include inaccurate or biased recall and overestimation or underestimation of intake due to too many or too few items on the FFQ, respectively. Here we report the refinement of an FFQ that overestimated nutrient intake and its validation against multiple 24 h recalls. Study design Data on 2527 participants in south India (Trivandrum) were available for the original FFQ (OFFQ) that overestimated nutrient intake (132 food items). After excluding participants with implausible energy intake estimates ( 15·69 MJ/d (>3750 kcal/d)) we ran stepwise regression analyses with selected nutrients as the outcomes and food intake (servings/d) as predictor variables ( n 1867). From these results and expert consultation we refined the FFQ (RFFQ), and validated it by comparing intakes obtained with it and the mean of two 24 h recalls among 100 participants. Results The OFFQ overestimated usual daily nutrient intake before and after exclusions [for energy: 13·39 ( sd 5·46) MJ (3201 ( sd 1305) kcal) and 10·96 ( sd 2·65) MJ (2619 ( sd 634) kcal), respectively]. In stepwise analyses, fifty-seven food items explained 90 % of the variance in nutrients; we retained thirteen food items because participants consumed them at least twice monthly and twelve food items that local nutritionists recommended. Mean energy intake estimated from the RFFQ (eighty-two food items) was 7·94 ( sd 2·05) MJ (1897 ( sd 489) kcal). The de-attenuated correlations between mean 24 h recall and RFFQ intakes ranged from 0·25 (vitamin A) to 0·82 (fat). Conclusion We refined an FFQ that overestimated nutrient intake by shortening and redesigning, and validated it by comparisons with 24 h dietary recall data

Animal science · Biology · Environmental health · Food frequency questionnaire · Food group · Food intake · Micronutrient · Nutrient · Population · Portion size · Stepwise regression · Demography · Medicine · Nutrition and Health in Aging · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Food Science · Internal Medicine