Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 273

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Exploring nutrition knowledge and the demographic variation in knowledge levels in an Australian community sample

Open access
Hendrie, Gillian Anne, Coveney, John, Cox, David·2008·Public Health Nutrition

Abstract

Objectives: Explore the level of general nutrition knowledge and demographic influences of knowledge levels in a community sample. Design and setting: A sample of volunteers, recruited from community centres in two suburbs of differing socio-economic status, in Adelaide, South Australia. Subjects: Two hundred and one people, aged 18 years and older, completed a modified and validated version of the General Nutrition Knowledge Questionnaire (113 items). The questionnaire was self-administered and completed under supervision. Results: Basic messages about eating more fruit, vegetables and fibre, and less fatty and salty foods were best understood. Confusion was evident with more detailed nutrition information. For example, 90 % of the people were aware of the recommendations to eat more fruit and vegetables, but 56 % and 62 % knew the recommended number of servings of fruit and vegetables, respectively. Descriptive statistics showed significant demographic variation in nutrition knowledge levels; multiple regression analysis confirmed the significant independent effects of gender, age, highest level of education and employment status on nutrition knowledge level (P< 0·01 level). The model accounted for 40 % of the variance in nutrition knowledge scores. Conclusions: There is demographic variation in nutrition knowledge levels and a broad lack of awareness of some public health nutrition recommendations. Having a detailed understanding of the deficiencies in community knowledge should allow for future nutrition education programmes to target subgroups of the population or particular areas of nutrition education, to more efficiently improve knowledge and influence dietary behaviour.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s1368980008003042

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

Metadata

Authors
Hendrie, G. A., Coveney, J., & Cox, D.
Venue
Public Health Nutrition
Published
2008-12
Volume
11
Issue
12
Pages
1365-1371
ISSN
  • 1368-9800 (ISSN-L)
  • 1475-2727
OpenAlex
W2142345550
Cited by
273
References
1
FWCI
4.03
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.