Please use this identifier to cite or link to this item: https://doi.org/10.3390/nu8090528
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dc.titleDevelopment of a semi-quantitative food frequency questionnaire to assess the dietary intake of a multi-ethnic urban asian population
dc.contributor.authorNeelakantan N.
dc.contributor.authorWhitton C.
dc.contributor.authorSeah S.
dc.contributor.authorKoh H.
dc.contributor.authorRebello S.A.
dc.contributor.authorLim J.Y.
dc.contributor.authorChen S.
dc.contributor.authorChan M.F.
dc.contributor.authorChew L.
dc.contributor.authorVan Dam R.M.
dc.date.accessioned2020-09-02T06:50:12Z
dc.date.available2020-09-02T06:50:12Z
dc.date.issued2016
dc.identifier.citationNeelakantan N., Whitton C., Seah S., Koh H., Rebello S.A., Lim J.Y., Chen S., Chan M.F., Chew L., Van Dam R.M. (2016). Development of a semi-quantitative food frequency questionnaire to assess the dietary intake of a multi-ethnic urban asian population. Nutrients 8 (9) : 528. ScholarBank@NUS Repository. https://doi.org/10.3390/nu8090528
dc.identifier.issn20726643
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/173992
dc.description.abstractAssessing habitual food consumption is challenging in multi-ethnic cosmopolitan settings. We systematically developed a semi-quantitative food frequency questionnaire (FFQ) in a multi-ethnic population in Singapore, using data from two 24-h dietary recalls from a nationally representative sample of 805 Singapore residents of Chinese, Malay and Indian ethnicity aged 18-79 years. Key steps included combining reported items on 24-h recalls into standardized food groups, developing a food list for the FFQ, pilot testing of different question formats, and cognitive interviews. Percentage contribution analysis and stepwise regression analysis were used to identify foods contributing cumulatively ?90% to intakes and individually ?1% to intake variance of key nutrients, for the total study population and for each ethnic group separately. Differences between ethnic groups were observed in proportions of consumers of certain foods (e.g., lentil stews, 1%-47%; and pork dishes, 0%-50%). The number of foods needed to explain variability in nutrient intakes differed substantially by ethnic groups and was substantially larger for the total population than for separate ethnic groups. A 163-item FFQ covered >95% of total population intake for all key nutrients. The methodological insights provided in this paper may be useful in developing similar FFQs in other multi-ethnic settings. © 2016 by the authors; licensee MDPI, Basel, Switzerland.
dc.sourceUnpaywall 20200831
dc.subjectascorbic acid
dc.subjectcalcium
dc.subjectfat
dc.subjectiron
dc.subjectpolyunsaturated fatty acid
dc.subjectretinol
dc.subjectsaturated fatty acid
dc.subjectsodium
dc.subjectadult
dc.subjectaged
dc.subjectArticle
dc.subjectdietary fiber
dc.subjectdietary intake
dc.subjectfemale
dc.subjectfood composition
dc.subjectfood frequency questionnaire
dc.subjectfood intake
dc.subjecthuman
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectnutrient availability
dc.subjectnutritional assessment
dc.subjectSingapore
dc.subjectadolescent
dc.subjectadverse effects
dc.subjectAsian continental ancestry group
dc.subjectcomparative study
dc.subjectdiet
dc.subjecteating
dc.subjectepidemiology
dc.subjectethnology
dc.subjectevaluation study
dc.subjectfeeding behavior
dc.subjecthealth
dc.subjectmiddle aged
dc.subjectnutritional status
dc.subjectpilot study
dc.subjectquestionnaire
dc.subjectreproducibility
dc.subjectstatistical model
dc.subjecttime factor
dc.subjectyoung adult
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAsian Continental Ancestry Group
dc.subjectDiet
dc.subjectEating
dc.subjectFeeding Behavior
dc.subjectFemale
dc.subjectHumans
dc.subjectLinear Models
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectNutritional Status
dc.subjectPilot Projects
dc.subjectReproducibility of Results
dc.subjectSingapore
dc.subjectSurveys and Questionnaires
dc.subjectTime Factors
dc.subjectUrban Health
dc.subjectYoung Adult
dc.typeArticle
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.description.doi10.3390/nu8090528
dc.description.sourcetitleNutrients
dc.description.volume8
dc.description.issue9
dc.description.page528
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