Estimating the nutrient composition of South Asian foods using a recipe calculation method

Chen, Alice; Gilbert, Penelope A; Khokhar, S.

doi:10.1016/j.foodchem.2008.05.063

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…We used the food composition tables of the S. Daniel Abraham International Center for Health and Nutrition, which were based on the USDA Nutrient Database for Standard Reference Release SR19, and modified to include common Israeli ( 34 ) and Bedouin ( 31 ) foods and recipes. The validated EuroFIR recipe calculation method was used to determine the nutrient composition of the recipes ( 35 ) . The method used to develop the validated Israeli FFQ ( 36 ) was also used to develop the TFFQ for pregnant Bedouin women.…”

Section: Methodsmentioning

confidence: 99%

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Rapid assessment tools for ranking pregnant minority women into multi-nutrient exposure groups

Abu-Saad

Shai

Vardi

et al. 2011

Public Health Nutr.

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Objective: To develop a targeted FFQ (TFFQ) and evaluate its effectiveness for ranking minority women by their intake of multiple nutrients important to a healthy pregnancy. Design: In Stage 1, food groups derived from 24 h recall dietary data were entered into a stepwise multiple regression model to identify 'discriminating' foods for the TFFQ; in Stage 2, the TFFQ and a 24 h recall were administered to pregnant women. The TFFQ data were used to create a Habitual Multi-Nutrient Intake Scale (H-MNIS) for ranking the women. The effectiveness of the ranking was tested against women's reported nutrient intakes on the 24 h recall. Setting: Southern Israel. Subjects: In Stage 1, 519 Bedouin Arab adults; in Stage 2, 404 pregnant Bedouin women. Results: Of the ninety-three food groups included in the regression analysis, twenty-eight explained .80 % of the between-person variability in the intake of the target nutrients. Whole-wheat bread was a main discriminator for protein, Fe, Zn, Ca and folate. Fish, poultry and canned tuna explained $88 % of the betweenperson variation in DHA and EPA intakes. The mean daily intakes of pregnant Bedouin women from the 24 h recall data differed significantly across H-MNIS quartiles (P , 0?01) for all but three target nutrients (folate, EPA, DHA); and the P for trend was significant (P , 0?02) for all but EPA. Conclusions: The TFFQ and H-MNIS represent rapid assessment tools for studying maternal nutrition on a multi-nutrient basis, and effectively ranked pregnant Bedouin women into exposure groups by their intake of the target nutrients.

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Section: Methodsmentioning

confidence: 99%

“…The validated EuroFIR recipe calculation method was used to determine the nutrient composition of the recipes (35) . The method used to develop the validated Israeli FFQ (36) was also used to develop the TFFQ for pregnant Bedouin women.…”

Section: Nutrient Database and Targeted Ffq Developmentmentioning

confidence: 99%

Rapid assessment tools for ranking pregnant minority women into multi-nutrient exposure groups

Abu-Saad

Shai

Vardi

et al. 2011

Public Health Nutr.

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“…(2009); Ethnic foods: Church et al. (2006); Gilbert and Khokhar (2008); Chen et al. (2009); Khokhar et al.…”

Section: Considerations In the Use Of Food Composition Databasesmentioning

confidence: 99%

EuroFIR Synthesis report No 7: Food composition explained

Church

2009

Nutrition Bulletin

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Summary Introduction Why food composition databases are important How food composition databases are produced Considerations in the use of food composition databases Conclusions and future role of EuroFIR Acknowledgements References and further reading Summary Food composition data are fundamental to the quantitative study of nutrition and are widely used in a variety of fields, including public health. However, knowledge of both the compilation and the limitations of food composition databases, which contain information on the concentrations of nutrients in food, is beneficial to ensure that users understand how to utilise the data appropriately. This guide provides background information on the importance of food composition data, and then explains the processes involved in producing and compiling these data. It then offers guidance on some of the key issues that users should be familiar with when using andmanipulating food composition data. Suggestions for further reading are given for users who may need more detailed information on specific topics and the resources produced by the EuroFIR (European Food Information Resource) Network of Excellence are highlighted.

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Assessing the SAIN,LIM nutrient profile of foods sold by fast food restaurants in Tunisia: Exploring ways for improvement

Thabet

Fouchali

Ati

2021

Nutrition Clinique et Métabolisme

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Estimating the nutrient composition of South Asian foods using a recipe calculation method

Cited by 4 publications

References 21 publications

Rapid assessment tools for ranking pregnant minority women into multi-nutrient exposure groups

Rapid assessment tools for ranking pregnant minority women into multi-nutrient exposure groups

EuroFIR Synthesis report No 7: Food composition explained

Assessing the SAIN,LIM nutrient profile of foods sold by fast food restaurants in Tunisia: Exploring ways for improvement

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