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American Association for Cancer Research

Dietary correlates of plasma insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations.

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, September 2002
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 news outlet
facebook
1 Facebook page
q&a
1 Q&A thread

Citations

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301 Dimensions

Readers on

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24 Mendeley
Title
Dietary correlates of plasma insulin-like growth factor I and insulin-like growth factor binding protein 3 concentrations.
Published in
Cancer Epidemiology, Biomarkers & Prevention, September 2002
Pubmed ID
Authors

Michelle D Holmes, Michael N Pollak, Walter C Willett, Susan E Hankinson

Abstract

Plasma levels of insulin-like growth factor I (IGF-I) have been associated with risk of several cancers. Although protein-calorie malnutrition is known to decrease IGF-I levels, few published studies have related diet to IGF-I levels in well-nourished humans. We examined the cross-sectional association of plasma IGF-I and IGF-binding protein 3 (IGFBP-3) levels with intakes of alcohol, energy, macronutrients, micronutrients, and specific foods in 1037 healthy women. Adjusted mean hormone levels across categories of dietary variables were calculated by linear regression. Results were adjusted for non-dietary factors found to be associated with IGF levels. Total energy intake was positively associated with IGF-I levels when adjusted for covariates. Adjusted mean levels of IGF-I (ng/ml) across increasing quintiles of energy intake were 181, 185, 191, 199, and 195 (P for the linear trend = 0.006). In other multivariate analyses, energy-adjusted fat and carbohydrate intake had no association with IGF-I levels. The most consistent finding was a positive association between protein intake with circulating IGF-I concentration (174, 188, 201, 192, and 196 ng/ml across quintiles of protein intake; P = 0.002), which was largely attributable to milk intake. Adjusted mean levels of IGF-I (ng/ml) across increasing quartiles of milk intake were 183, 189, 188, and 200 (P = 0.01). Higher fat intake, in particular saturated fat, was associated with lower levels of IGFBP-3. We conclude that higher energy, protein, and milk intakes were associated with higher levels of IGF-I. These associations raise the possibility that diet could affect cancer risk through influencing IGF-I level.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Student > Master 3 13%
Student > Bachelor 3 13%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 6 25%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 8 33%
Nursing and Health Professions 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Agricultural and Biological Sciences 2 8%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 October 2021.
All research outputs
#3,562,512
of 25,377,790 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#1,025
of 4,849 outputs
Outputs of similar age
#4,684
of 48,923 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#6
of 18 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has done well, scoring higher than 78% of its peers.
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 48,923 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
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 has gotten more attention than average, scoring higher than 66% of its contemporaries.