Evidence map›Paper›PMID 29601544›Full record

ArticleNutrients2018

Influence of Mothers' Nutrition Knowledge and Attitudes on Their Purchase Intention for Infant Cereal with No Added Sugar Claim.

Tzu-Yun Chien, Yi-Wen Chien, Jung-Su Chang, Yi Chun Chen

Abstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Tzu-Yun ChienSchool of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan. b506100083@tmu.edu.tw.
Yi-Wen ChienSchool of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan. ychien@tmu.edu.tw.ORCID 0000-0002-7293-5310
Jung-Su ChangSchool of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan. susanchang@tmu.edu.tw.
Yi Chun ChenSchool of Nutrition and Health Sciences, Taipei Medical University, Taipei 110, Taiwan. yichun@tmu.edu.tw.ORCID 0000-0002-6930-1712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A higher sugar intake in infancy might result in a predisposition to a higher sugar intake in later childhood. In Taiwan, many commercial infant and toddler foods with nutrition claims have high sugar content. This study explored the influence of mothers' knowledge and attitudes on their purchase intention for infant food with nutrition claims. This study was a cross-sectional survey. An online survey was distributed to 940 mothers who had a child aged between 4 months and 3 years; 40% of mothers tend to misunderstand that "no added sugar" (NAS) indicates no sugar or less sugar content and, thus, that NAS infant cereal is healthy. Approximately 50-70% of mothers believe that NAS infant cereal is more natural, healthier, and contains less sugar. Attitude toward the NAS claim was found to be a mediating variable between sugar-related knowledge and purchase intention. The lower the level of sugar-related knowledge was, the more positive the attitude toward NAS infant cereal and the higher the purchase intention for NAS infant cereal were. In the future, regulation of no added sugar is needed to avoid the misleading information and mothers' sugar-related knowledge need to be improved through nutrition education.

Indexed as

Consumer BehaviorDietary SugarsEdible GrainFood LabelingHealth Knowledge, Attitudes, PracticeInfant FoodMothersAdultAppetiteChild, PreschoolCommerceCross-Sectional StudiesEnergy IntakeFemaleHumansInfantDietary Sugarsattitudeinfantmotherno added sugarnutrition knowledgepurchase intentionsugar

Identifiers

PMID29601544
PMCPMC5946220

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Registered trials

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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.