Evidence map›Paper›PMID 38068870›Full record

ArticleNutrients2023

Development and Functionality of a Parsimonious Digital Food Frequency Questionnaire for a Clinical Intervention among an Indigenous Population.

Kathleen Abu-Saad, Moran Accos, Arnona Ziv, Fiona Collins, Carrington Shepherd, Sandra Eades, Ofra Kalter-Leibovici

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Exploring Self-Report Dietary Assessment Tools Validated for Indigenous Populations Globally: A Scoping Review.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025
    Article
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

7 authors at 4 institutions in 2 countries.

Kathleen Abu-SaadGertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan 52126, Israel.
Moran AccosGertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan 52126, Israel.
Arnona ZivGertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan 52126, Israel.
Fiona CollinsSouth West Aboriginal Medical Service, Bunbury, WA 6230, Australia.
Carrington ShepherdCurtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA 6102, Australia.
Sandra EadesMelbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
Ofra Kalter-LeiboviciGertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan 52126, Israel.ORCID 0000-0002-7404-7333
Sheba Medical Center · ILCurtin University · AUTel Aviv University · ILThe University of Melbourne · AU

Funding

National Health and Medical Research Council APP1151848
6 · The paper itself

Abstract

Nutrition-related chronic diseases are a major problem among Indigenous populations. Appropriate dietary intake assessment tools are needed for nutritional surveillance and intervention; however, tools designed to measure the habitual dietary intake of Indigenous persons are largely lacking. We developed a digital food frequency questionnaire (FFQ) to measure habitual consumption among Australian Aboriginal adults and support personalized nutrition counseling. The primary contributors to energy, select nutrients, and inter-person variation (83 food groups) were identified from nationally representative 24 h recall (24HR) data, and they accounted for >80% of the total intake and inter-person variation of the nutrients of interest. Based on community input, a meal-based FFQ format was adopted, with a main food/beverage list of 81 items and the capacity to report on >300 additional items via the digital platform. The nutrient database was based on the Australian Food and Nutrient Database. Data for the first 60 study participants (70% female; median age: 48 years) were used to assess the FFQ's utility. The participants' median [IQR] reported energy intake (10,042 [6968-12,175] kJ/day) was similar to their median [IQR] estimated energy expenditure (10,197 [8636-11,551] kJ/day). Foods/beverages on the main FFQ list accounted for between 66% and 90% of the participants' reported energy and nutrient intakes; the remainder came from participant-selected extra items. The digital FFQ platform provides a potentially valuable resource for monitoring habitual dietary intake among Aboriginal adults and supporting chronic disease prevention and management interventions.

Indexed as

DietEnergy IntakeAdultAustraliaFemaleHumansIndigenous PeoplesMaleMealsMiddle AgedReproducibility of ResultsSurveys and QuestionnairesAustralian Aboriginal adultscultural adaptationdigital dietary assessment toolsfood frequency questionnaireIndigenous populations

Identifiers

PMID38068870
PMCPMC10707983
OpenAlexW4389306556

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.