2022
DOI: 10.1016/j.foodchem.2022.133544
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Development of a new food composition table: An updated tool for estimating nutrient intake in Bangladeshi population

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Cited by 18 publications
(21 citation statements)
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“…The nutrient content of the extracted data of lactating women was estimated using the Food Composition Tables for Bangladesh (FCTB) (Shaheen et al, 2022 ) and the Indian Food Composition Tables (IFCT) (Longvah et al, 2017 ). In the case of the foods that were not available on the local food composition table, the IFCT was followed.…”
Section: Methodsmentioning
confidence: 99%
“…The nutrient content of the extracted data of lactating women was estimated using the Food Composition Tables for Bangladesh (FCTB) (Shaheen et al, 2022 ) and the Indian Food Composition Tables (IFCT) (Longvah et al, 2017 ). In the case of the foods that were not available on the local food composition table, the IFCT was followed.…”
Section: Methodsmentioning
confidence: 99%
“…The R-R system had the second highest calorie yield and R-W-MB the second highest protein yield. Higher calorie yield in the R-R system was due to the high-calorie content in rice grain (11.2%), while higher protein yield in the R-W-MB system was due to the high protein content in mung bean (23.1%) ( Shaheen et al, 2013 ). Crop diversification, from R-R to R-M and R-W-MB systems, can provide balanced nutritional diets with higher protein and calorie ( Jat et al, 2020 , Jat et al, 2018 ).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to REY, grain protein and calorie equivalent yields were also calculated using the grain protein and calorie conversion factors reported in Bangladesh’s Food Composition Tables ( Shaheen et al, 2013 ). Grain protein of 6.6 g, 11.2 g, 9.9 g and 23.7 g per 100 g and grain calories of 345 Kcal, 344 Kcal, 344 Kcal and 351 Kcal per 100 g were used for rice, wheat, maize and mung bean, respectively, to calculate grain protein (kg ha −1 ) and grain calorie (Gcal ha −1 ) equivalent yields.…”
Section: Methodsmentioning
confidence: 99%
“…Raw food weight was calculated by using appropriate conversion factors [ 13 ]. All food items were grouped into ten major food groups based on standard approaches [ 14 – 16 ]: cereals (boiled rice, puffed rice), vegetables (plants, vegetables, leafy vegetables), pulses (pulses and legumes), meat (chicken and meat products), milk (milk and milk products), beverage (tea, coffee), eggs, fruits and others (ice-cream, chocolate). At the household level, fish intake (seafood, finfish and shellfish) was also ranked by type of fish most commonly consumed based on participant recall for the past 5 days, 3 months and 1 year.…”
Section: Methodsmentioning
confidence: 99%