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Exploring Australian women’s level of nutrition knowledge during pregnancy: a cross-sectional study

Overview of attention for article published in International Journal of Women's Health, August 2016
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Mentioned by

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1 tweeter

Citations

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Readers on

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39 Mendeley
Title
Exploring Australian women’s level of nutrition knowledge during pregnancy: a cross-sectional study
Published in
International Journal of Women's Health, August 2016
DOI 10.2147/ijwh.s110072
Pubmed ID
Authors

Khlood Bookari, Heather Yeatman, Moira Williamson

Abstract

The Australian Guide to Healthy Eating (AGHE) for pregnancy provides a number of food- and nutrition-related recommendations to assist pregnant women in optimizing their dietary behavior. However, there are limited data demonstrating pregnant women's knowledge of the AGHE recommendations. This study investigated Australian pregnant women's knowledge of the AGHE and related dietary recommendations for maintaining a healthy pregnancy. The variations in nutrition knowledge were compared with demographic characteristics. A cross-sectional study assessed eight different nutrition knowledge domains and the demographic characteristics of pregnant women. Four hundred women across Australia completed a multidimensional online survey based on validated and existing measures. More than half of the pregnant women surveyed (65%) were not familiar with the AGHE recommendations. The basic recommendations to eat more fruit, vegetables, bread, and cereals but less meat were poorly understood. An in-depth investigation of knowledge of nutrition information revealed misconceptions in a range of areas, including standard serving size, nutrients content of certain foods, energy density of fat, and the importance of key nutrients in pregnancy. Univariate analysis revealed significant demographic variation in nutrition knowledge scores. Multiple regression analysis confirmed the significant independent effects on respondents' nutrition knowledge score (P<0.000) of the education level, income, age, stage of pregnancy, language, and having a health/nutrition qualification. The model indicated that independent variables explained 33% (adjusted R (2)) of the variance found between respondents' knowledge scores. Australian pregnant women's knowledge regarding AGHE for pregnancy and other key dietary recommendations is poor and varies significantly with their demographic profile. The setting of dietary guidelines is not sufficient to ensure improvement in their nutrition knowledge. It is essential that women receive support to achieve optimal and healthy diets during pregnancy.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Student > Ph. D. Student 7 18%
Student > Bachelor 7 18%
Lecturer 4 10%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Nursing and Health Professions 9 23%
Social Sciences 5 13%
Psychology 3 8%
Agricultural and Biological Sciences 2 5%
Other 3 8%
Unknown 8 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2016.
All research outputs
#7,144,835
of 8,261,086 outputs
Outputs from International Journal of Women's Health
#317
of 388 outputs
Outputs of similar age
#214,113
of 253,846 outputs
Outputs of similar age from International Journal of Women's Health
#17
of 18 outputs
Altmetric has tracked 8,261,086 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,846 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.