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Mendeley readers
Attention Score in Context
| Title |
Dietary quality and patterns and non-communicable disease risk of an Indian community in KwaZulu-Natal, South Africa
|
|---|---|
| Published in |
Journal of Health, Population and Nutrition, August 2015
|
| DOI | 10.1186/s41043-015-0013-1 |
| Pubmed ID | |
| Authors |
A. Naicker, C. S. Venter, U. E. MacIntyre, S. Ellis |
| Abstract |
Limited data exist on the South African Indian diet despite their high prevalence of non-communicable diseases. This study attempted to determine the dietary quality and patterns of an Indian population in KwaZulu-Natal with reference to the high prevalence of non-communicable disease Two-hundred-and-fifty apparently healthy Indians, aged 35-55 years participated in a cross-sectional study where diet was assessed using a validated quantitative food frequency questionnaire. Mean intakes were compared to the World Health Organization goals. Dietary quality was determined by index construction and dietary patterns by factor analysis. The mean daily percentage of energy (%E) from n-3 fatty acids (0.24 %E), dietary fibre (18.4 g/day) and fruit and vegetable intakes (229.4 g/day) were below the World Health Organization goals. Total fat (36.1 %E), polyunsaturated fatty acids (11.8 %E), n-6 fatty acids (11 %E) and free sugars (12.5 %E) exceeded the goals. The means for the deficient index reflected a moderate diet quality whereas, the excess index reflected good diet quality. The Pearson partial correlation coefficients between the deficient index and risk markers were weak whilst, the excess index was inversely correlated with waist circumference for the whole sample. Two factors were identified, based on the percentage of fat that contributed to each food group: factor 1 (meat and fish versus legume and cereal pattern), which accounted for added fat through food preparation; and Factor 2 (nuts and seeds versus sugars and visible fat pattern), which accounted for obvious fat. The medians for waist circumference, blood glucose, cholesterol and triglyceride levels showed significant decreasing trends for factor 1 (p < 0.05). The medians for blood glucose and cholesterol showed significant decreasing trends for factor 2 (p < 0.01). A shortfall of fruit and vegetable, fibre and n-3 fatty acid intake in the diet is highlighted. When assessing the diet quality and patterns, guidance on the prudent use of added fats may lead to a healthier lifestyle reducing the prevalence of non-communicable diseases. |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | 2% |
| United States | 1 | <1% |
| Unknown | 125 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 21% |
| Researcher | 14 | 11% |
| Student > Ph. D. Student | 12 | 9% |
| Student > Bachelor | 11 | 9% |
| Student > Postgraduate | 11 | 9% |
| Other | 13 | 10% |
| Unknown | 40 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 27 | 21% |
| Medicine and Dentistry | 16 | 13% |
| Agricultural and Biological Sciences | 12 | 9% |
| Social Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 2% |
| Other | 21 | 16% |
| Unknown | 45 | 35% |
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 05 August 2017.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Health, Population and Nutrition
#520
of 622 outputs
Outputs of similar age
#236,110
of 275,812 outputs
Outputs of similar age from Journal of Health, Population and Nutrition
#5
of 7 outputs
Altmetric has tracked 25,373,627 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 622 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 275,812 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.