| Title |
ABO Genotype, ‘Blood-Type’ Diet and Cardiometabolic Risk Factors
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0084749 |
| Pubmed ID | |
| Authors |
Jingzhou Wang, Bibiana García-Bailo, Daiva E. Nielsen, Ahmed El-Sohemy |
| Abstract |
The 'Blood-Type' diet advises individuals to eat according to their ABO blood group to improve their health and decrease risk of chronic diseases such as cardiovascular disease. However, the association between blood type-based dietary patterns and health outcomes has not been examined. The objective of this study was to determine the association between 'blood-type' diets and biomarkers of cardiometabolic health and whether an individual's ABO genotype modifies any associations. |
X Demographics
The data shown below were collected from the profiles of 404 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 | 58 | 14% |
| Thailand | 25 | 6% |
| United Kingdom | 23 | 6% |
| Australia | 18 | 4% |
| Canada | 13 | 3% |
| Spain | 11 | 3% |
| Chile | 9 | 2% |
| Saudi Arabia | 8 | 2% |
| Indonesia | 7 | 2% |
| Other | 51 | 13% |
| Unknown | 181 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 320 | 79% |
| Practitioners (doctors, other healthcare professionals) | 49 | 12% |
| Scientists | 27 | 7% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 1% |
| United Kingdom | 3 | 1% |
| United States | 2 | <1% |
| Sweden | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 276 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 68 | 23% |
| Student > Master | 40 | 14% |
| Researcher | 26 | 9% |
| Other | 23 | 8% |
| Student > Postgraduate | 19 | 6% |
| Other | 58 | 20% |
| Unknown | 59 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 18% |
| Nursing and Health Professions | 46 | 16% |
| Agricultural and Biological Sciences | 34 | 12% |
| Biochemistry, Genetics and Molecular Biology | 23 | 8% |
| Sports and Recreations | 14 | 5% |
| Other | 47 | 16% |
| Unknown | 75 | 26% |