Exploring nutrition knowledge and the demographic variation in knowledge levels in an Australian community sample.
OBJECTIVE
Explore the level of general nutrition knowledge and demographic influences of knowledge levels in a community sample.


METHODS
A sample of volunteers, recruited from community centres in two suburbs of differing socio-economic status, in Adelaide, South Australia.


METHODS
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.
Hendrie
Gillian Anne
GA
Department of Public Health, Flinders University, Adelaide, Australia. Gilly.Hendrie@csiro.au
Coveney
John
J
Cox
David
D
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D001315:Australia; D003710:Demography; D004043:Dietary Fiber / Q000008:administration & dosage; D004522:Educational Status; D005247:Feeding Behavior / Q000523:psychology*; D005260:Female; D005638:Fruit; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D008875:Middle Aged; D052756:Nutritional Sciences / Q000193:education*; D012044:Regression Analysis; D017678:Sex Distribution; D012923:Social Class; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014675:Vegetables; D055815:Young Adult