Evidence map›Paper›PMID 27349130›Full record

ArticlePublic health nutrition2016

Using national dietary intake data to evaluate and adapt the US Diet History Questionnaire: the stepwise tailoring of an FFQ for Canadian use.

Ilona Csizmadi, Beatrice A Boucher, Geraldine Lo Siou, Isabelle Massarelli, Isabelle Rondeau, Didier Garriguet, Anita Koushik, Janine Elenko, Amy F Subar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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  20. Prospective Cohort of Pre- and Post-Diagnosis Diet with Survival Outcomes: an Alberta Endometrial Cancer Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ilona Csizmadi1Department of Cancer Epidemiology and Prevention Research,Alberta Health Services - CancerControl,Holy Cross Centre,Box ACB,2210 2nd Street SW,Calgary,AB,Canada,T3S 3C3.
Beatrice A Boucher2Prevention and Cancer Control,Cancer Care Ontario,Toronto,ON,Canada.
Geraldine Lo Siou4Alberta's Tomorrow Project,Alberta Health Services - CancerControl,Calgary,AB,Canada.
Isabelle Massarelli5Food Directorate,Health Canada,Ottawa,ON,Canada.
Isabelle Rondeau5Food Directorate,Health Canada,Ottawa,ON,Canada.
Didier Garriguet6Health Analysis Division,Statistics Canada,Ottawa,ON,Canada.
Anita Koushik7Département de Médecine Sociale et Préventive,Université de Montréal,Montréal,QC,Canada.
Janine Elenko8Neuro Rehabilitation,Dr. Vernon Fanning Centre,Carewest,Calgary,AB,Canada.
Amy F Subar9Division of Cancer Control and Population Sciences,National Cancer Institute,Bethesda,MD,USA.

Funding

CIHR SOK118150
6 · The paper itself

Abstract

objectiveTo evaluate the Canadian Diet History Questionnaire I (C-DHQ I) food list and to adapt the US DHQ II for Canada using Canadian dietary survey data.

designTwenty-four-hour dietary recalls reported by adults in a national Canadian survey were analysed to create a food list corresponding to C-DHQ I food questions. The percentage contribution of the food list to the total survey intake of seventeen nutrients was used as the criterion to evaluate the suitability of the C-DHQ I to capture food intake in Canadian populations. The data were also analysed to identify foods and to modify portion sizes for the C-DHQ II.

settingThe Canadian Community Health Survey (CCHS) - Cycle 2.2 Nutrition (2004). SUBJECTS: Adults (n 20 159) who completed 24 h dietary recalls during in-person interviews.

resultsFour thousand five hundred and thirty-three foods and recipes were grouped into 268 Food Groups, of which 212 corresponded to questions on the C-DHQ I. Nutrient intakes captured by the C-DHQ I ranged from 79 % for fat to 100 % for alcohol. For the new C-DHQ II, some food questions were retained from the original US DHQ II while others were added based on foods reported in CCHS and foods available on the Canadian market since 2004. Of 153 questions, 143 were associated with portion sizes of which fifty-three were modified from US values. Sex-specific nutrient profiles for the C-DHQ II nutrient database were derived using CCHS data.

conclusionsThe C-DHQ I and II are designed to optimize the capture of foods consumed by Canadian populations.

Indexed as

DietDiet SurveysNutrition PolicyCanadaFemaleHumansMaleUnited StatesDietary assessmentEpidemiological studiesFFQMeasurement errorNutrient database

Identifiers

PMID27349130
PMCPMC10271078

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.