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Ethnic Variation in Lipid Profile and Its Associations with Body Composition and Diet: Differences Between Iranians, Indians and Caucasians Living in Australia

Overview of attention for article published in Journal of Immigrant and Minority Health, January 2016
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Title
Ethnic Variation in Lipid Profile and Its Associations with Body Composition and Diet: Differences Between Iranians, Indians and Caucasians Living in Australia
Published in
Journal of Immigrant and Minority Health, January 2016
DOI 10.1007/s10903-015-0320-z
Pubmed ID
Authors

Majid Meshkini, Fariba Alaei-Shahmiri, Cyril Mamotte, Jaya Earnest

Abstract

Dyslipidaemia is a known risk factor for developing cardiovascular disease. The impact of ethnicity on variations in lipid patterns has been studied in certain racial and ethnic groups with limited data on other ethnicities, particularly Asian subgroups. This cross-sectional study evaluated the ethnic variation in lipid profile and its association with body composition and diet in ninety-one overweight and obese Australians of European (n = 32), Indian (n = 28) and Iranian (n = 31) ancestries. Different measures of total and truncal adiposity were assessed using the method of whole body dual energy X-ray absorptiometry. The results showed that serum total cholesterol (TC) and low density lipoprotein cholesterol (LDL-chol) levels in Iranians were significantly lower than in Europeans and Indians. Both Iranian and Indian groups exhibited lower mean high density lipoprotein cholesterol (HDL-chol) relative to Europeans. Triglycerides (TG) and HDL-chol, but not TC and LDL-chol, were significantly associated with different truncal adiposity measurements; however the degree of associations varied in ethnic groups. Regression analysis showed ethnicity as a significant predictor of TC (p = 0.01), TG (p = 0.03) and HDL-chol (p = 0.04), after controlling for potential confounders. However, LDL-chol was significantly associated with the intake of total (p = 0.005), and saturated fats (p = 0.004), which were also other significant determinants of serum TC (p = 0.04 and p = 0.02, respectively). In conclusion, ethnicity was a strong predictor of serum lipids, except LDL-chol which was significantly determined by dietary fat intake. Prevention and management of obesity, particularly abdominal adiposity may effectively reduce the risk of low HDL-chol reported in Iranians and Indians.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 17%
Lecturer 6 11%
Student > Ph. D. Student 6 11%
Student > Bachelor 4 7%
Researcher 4 7%
Other 9 17%
Unknown 16 30%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Nursing and Health Professions 9 17%
Psychology 2 4%
Mathematics 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 9%
Unknown 22 41%
Attention Score in Context

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 20 January 2016.
All research outputs
#16,188,009
of 23,867,274 outputs
Outputs from Journal of Immigrant and Minority Health
#913
of 1,261 outputs
Outputs of similar age
#238,914
of 402,105 outputs
Outputs of similar age from Journal of Immigrant and Minority Health
#22
of 31 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 17th percentile – i.e., 17% 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 402,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.