Hendrie Gillian Anne, Coveney John, Cox David
Department of Public Health, Flinders University, Adelaide, Australia.
Public Health Nutr. 2008 Dec;11(12):1365-71. doi: 10.1017/S1368980008003042. Epub 2008 Aug 1.
Explore the level of general nutrition knowledge and demographic influences of knowledge levels in a community sample.
A sample of volunteers, recruited from community centres in two suburbs of differing socio-economic status, in Adelaide, South Australia.
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.
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.
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.
在一个社区样本中探究一般营养知识水平以及知识水平的人口统计学影响因素。
从南澳大利亚阿德莱德两个社会经济地位不同的郊区的社区中心招募志愿者样本。
201名年龄在18岁及以上的人完成了一份经过修改和验证的《一般营养知识问卷》(113项)。问卷由受试者自行填写,并在监督下完成。
关于多吃水果、蔬菜和纤维,少吃高脂肪和高盐食物的基本信息最易被理解。对于更详细的营养信息,存在明显的困惑。例如,90%的人知道多吃水果和蔬菜的建议,但分别只有56%和62%的人知道水果和蔬菜的建议食用份数。描述性统计显示营养知识水平存在显著的人口统计学差异;多元回归分析证实了性别、年龄、最高学历和就业状况对营养知识水平有显著的独立影响(P<0.01)。该模型解释了营养知识得分方差的40%。
营养知识水平存在人口统计学差异,并且对一些公共卫生营养建议普遍缺乏认识。详细了解社区知识中的不足应有助于未来的营养教育项目针对人群亚组或特定的营养教育领域,从而更有效地提高知识水平并影响饮食行为。