Evidence map›Paper›PMID 29142179›Full record

ArticleJournal of atherosclerosis and thrombosis2018

Usefulness of a Short Dietary Propensity Questionnaire in Japan.

Nagako Okuda, Kazuyoshi Itai, Akira Okayama

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 79% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Nagako OkudaDepartment of Health and Nutrition, University of Human Arts and Sciences.
Kazuyoshi ItaiDepartment of Nutritional Science, Morioka University.
Akira OkayamaResearch Institute of Strategy for Prevention.
Morioka University · JPUniversity of Human Arts and Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThere is a growing need for nutritional education for prevention and non-pharmacological treatment of risk factors for cardiovascular diseases (CVD). We compared the results of a short dietary propensity questionnaire (SDPQ) with those from the food frequency and quantity survey (FF Quantity), which had been previously quantitatively assessed by comparison with the 24-hr dietary recall (24hr-DR), to examine the usefulness of the SDPQ. The SDPQ was designed to assess dietary propensities of 12 food/nutrients relevant to CVD risk factors.

methodsWe conducted a dietary survey using the SDPQ on Japanese men and women. After 2-3 weeks, we conducted the FF Quantity survey with the same participants. For each of the 12 food/nutrient categories, the relationships between quintiles of results from the SDPQ and FF Quantity were examined. Results from 79 participants who completed both surveys were used.

resultsSpearman's correlation coefficients (r) were significant for all food/nutrient categories. Good correlations were found with alcohol (r=0.792), starchy foods (r=0.566), and milk and dairy products (r=0.687), for which good correlations between the FF Quantity and 24hr-DR had been observed previously. Moderate correlations were found for vegetables (r=0.386) and high-salt foods (r=0.505), although the FF Quantity survey poorly correlated with the 24hr-DR.

conclusionThe SDPQ may be useful for assessment of dietary propensities for alcohol, starchy foods, and milk and dairy products in Japan.

Indexed as

DietDiet RecordsDiet SurveysNutrition AssessmentAdultAgedFeeding BehaviorFemaleHumansLife StyleMaleMiddle AgedSurveys and QuestionnairesCardiovascular disease risk factorsDietary surveyJapanNutritional education

Identifiers

PMID29142179
PMCPMC5945556
OpenAlexW2768201264

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.