| Title |
Metabolic factors and blood cancers among 578,000 adults in the metabolic syndrome and cancer project (Me-Can)
|
|---|---|
| Published in |
Annals of Hematology, May 2012
|
| DOI | 10.1007/s00277-012-1489-z |
| Pubmed ID | |
| Authors |
Gabriele Nagel, Tanja Stocks, Daniela Späth, Anette Hjartåker, Björn Lindkvist, Göran Hallmans, Håkan Jonsson, Tone Bjørge, Jonas Manjer, Christel Häggström, Anders Engeland, Hanno Ulmer, Randi Selmer, Hans Concin, Pär Stattin, Richard F. Schlenk |
| Abstract |
We investigated associations between metabolic factors and blood cancer subtypes. Data on body mass index (BMI), blood pressure, blood glucose, total cholesterol, and triglycerides from seven prospective cohorts were pooled (n = 578,700; mean age = 44 years). Relative risks of blood cancers were calculated from Cox regression models. During mean follow-up of 12 years, 2,751 incident and 1,070 fatal cases of blood cancers occurred. Overall, higher BMI was associated with an increased blood cancer risk. In gender-specific subgroup analyses, BMI was positively associated with blood cancer risk (p = 0.002), lymphoid neoplasms (p = 0.01), and Hodgkin's lymphoma (p = 0.02) in women. Further associations with BMI were found for high-grade B-cell lymphoma (p = 0.02) and chronic lymphatic leukemia in men (p = 0.05) and women (p = 0.01). Higher cholesterol levels were inversely associated with myeloid neoplasms in women (p = 0.01), particularly acute myeloid leukemia (p = 0.003), and glucose was positively associated with chronic myeloid leukemia in women (p = 0.03). In men, glucose was positively associated with risk of high-grade B-cell lymphoma and multiple myeloma, while cholesterol was inversely associated with low-grade B-cell lymphoma. The metabolic syndrome score was related to 48 % increased risk of Hodgkin's lymphoma among women. BMI showed up as the most consistent risk factor, particularly in women. A clear pattern was not found for other metabolic factors. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 19% |
| Researcher | 7 | 19% |
| Professor | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 46% |
| Agricultural and Biological Sciences | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 May 2012.
All research outputs
#13,864,864
of 22,665,794 outputs
Outputs from Annals of Hematology
#945
of 2,158 outputs
Outputs of similar age
#94,635
of 163,779 outputs
Outputs of similar age from Annals of Hematology
#12
of 16 outputs
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