Please use this identifier to cite or link to this item:
https://doi.org/10.3390/nu8090528
DC Field | Value | |
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dc.title | Development of a semi-quantitative food frequency questionnaire to assess the dietary intake of a multi-ethnic urban asian population | |
dc.contributor.author | Neelakantan N. | |
dc.contributor.author | Whitton C. | |
dc.contributor.author | Seah S. | |
dc.contributor.author | Koh H. | |
dc.contributor.author | Rebello S.A. | |
dc.contributor.author | Lim J.Y. | |
dc.contributor.author | Chen S. | |
dc.contributor.author | Chan M.F. | |
dc.contributor.author | Chew L. | |
dc.contributor.author | Van Dam R.M. | |
dc.date.accessioned | 2020-09-02T06:50:12Z | |
dc.date.available | 2020-09-02T06:50:12Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Neelakantan 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.issn | 20726643 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/173992 | |
dc.description.abstract | Assessing 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.source | Unpaywall 20200831 | |
dc.subject | ascorbic acid | |
dc.subject | calcium | |
dc.subject | fat | |
dc.subject | iron | |
dc.subject | polyunsaturated fatty acid | |
dc.subject | retinol | |
dc.subject | saturated fatty acid | |
dc.subject | sodium | |
dc.subject | adult | |
dc.subject | aged | |
dc.subject | Article | |
dc.subject | dietary fiber | |
dc.subject | dietary intake | |
dc.subject | female | |
dc.subject | food composition | |
dc.subject | food frequency questionnaire | |
dc.subject | food intake | |
dc.subject | human | |
dc.subject | major clinical study | |
dc.subject | male | |
dc.subject | nutrient availability | |
dc.subject | nutritional assessment | |
dc.subject | Singapore | |
dc.subject | adolescent | |
dc.subject | adverse effects | |
dc.subject | Asian continental ancestry group | |
dc.subject | comparative study | |
dc.subject | diet | |
dc.subject | eating | |
dc.subject | epidemiology | |
dc.subject | ethnology | |
dc.subject | evaluation study | |
dc.subject | feeding behavior | |
dc.subject | health | |
dc.subject | middle aged | |
dc.subject | nutritional status | |
dc.subject | pilot study | |
dc.subject | questionnaire | |
dc.subject | reproducibility | |
dc.subject | statistical model | |
dc.subject | time factor | |
dc.subject | young adult | |
dc.subject | Adolescent | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Asian Continental Ancestry Group | |
dc.subject | Diet | |
dc.subject | Eating | |
dc.subject | Feeding Behavior | |
dc.subject | Female | |
dc.subject | Humans | |
dc.subject | Linear Models | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Nutritional Status | |
dc.subject | Pilot Projects | |
dc.subject | Reproducibility of Results | |
dc.subject | Singapore | |
dc.subject | Surveys and Questionnaires | |
dc.subject | Time Factors | |
dc.subject | Urban Health | |
dc.subject | Young Adult | |
dc.type | Article | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.description.doi | 10.3390/nu8090528 | |
dc.description.sourcetitle | Nutrients | |
dc.description.volume | 8 | |
dc.description.issue | 9 | |
dc.description.page | 528 | |
Appears in Collections: | Elements Staff Publications |
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