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Identification of dietary patterns by factor analysis and study of the relationship with nutritional status of rural adolescents using factor scores

Overview of attention for article published in Journal of Health, Population, & Nutrition, May 2015
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1 tweeter

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Title
Identification of dietary patterns by factor analysis and study of the relationship with nutritional status of rural adolescents using factor scores
Published in
Journal of Health, Population, & Nutrition, May 2015
DOI 10.1186/s41043-015-0009-x
Pubmed ID
Authors

Kodavalla Venkaiah, Ginnela Narsimhachary Veera Brahmam, Kamasamudram Vijayaraghavan

Abstract

Study was undertaken to know food and nutrient consumption patterns and their relationship with nutritional status among rural adolescents in Orissa. It was a Community based cross sectional study, conducted at district level in the State of Orissa. Data on 686 adolescent boys and 689 adolescent girls were utilized. Factor analysis was used to find dietary pattern and discriminate analysis and its relationship with undernutrition. The study revealed that among adolescent boys, there existed six patterns among food-groups and three patterns among nutrients explaining 52% and 76% of total variation. Similarly among adolescent girls, seven patterns among food groups and three patterns among nutrients, explaining 67% and 80% of total variation. The discriminate analysis using the factor scores revealed overall 56% of adolescent boys, and 53% of girls were correctly classified. About 46% of boys who were actually thin were predicted as normal, while, 40% who were normal were predicted as thin. Among girls 50% who were actually thin were predicted as normal, while, 36% who were normal were predicted as thin. In conclusions, there exists considerable relationship between dietary patterns and nutritional status among rural adolescents.

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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 21%
Student > Postgraduate 9 13%
Student > Ph. D. Student 9 13%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 10 15%
Unknown 15 22%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 17 25%
Social Sciences 7 10%
Agricultural and Biological Sciences 6 9%
Earth and Planetary Sciences 1 1%
Other 2 3%
Unknown 17 25%

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 31 January 2016.
All research outputs
#6,076,061
of 7,066,845 outputs
Outputs from Journal of Health, Population, & Nutrition
#161
of 211 outputs
Outputs of similar age
#264,032
of 320,225 outputs
Outputs of similar age from Journal of Health, Population, & Nutrition
#5
of 13 outputs
Altmetric has tracked 7,066,845 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 211 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 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.