Title |
Marine N-3 Polyunsaturated Fatty Acids Are Inversely Associated with Risk of Type 2 Diabetes in Asians: A Systematic Review and Meta-Analysis
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Published in |
PLOS ONE, September 2012
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DOI | 10.1371/journal.pone.0044525 |
Pubmed ID | |
Authors |
Ju-Sheng Zheng, Tao Huang, Jing Yang, Yuan-Qing Fu, Duo Li |
Abstract |
Prospective cohort studies in relation to the associations between n-3 polyunsaturated fatty acids (PUFA) and risk of type 2 diabetes (T2D) were inconsistent. Differences in tissue n-3 PUFA compositions in subjects with and without T2D were also inconsistent in both cohort and case-control studies. We conducted a systematic review and meta-analysis of prospective cohort studies to examine the associations of fish and n-3 PUFA intake with T2D risk. The differences in tissue n-3 PUFA compositions in subjects with and without T2D were investigated based on cohort and case-control studies. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | <1% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
China | 1 | <1% |
Algeria | 1 | <1% |
Unknown | 114 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 13% |
Student > Bachelor | 15 | 13% |
Student > Ph. D. Student | 14 | 12% |
Student > Master | 14 | 12% |
Student > Doctoral Student | 9 | 8% |
Other | 27 | 23% |
Unknown | 24 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 31% |
Agricultural and Biological Sciences | 16 | 13% |
Nursing and Health Professions | 14 | 12% |
Social Sciences | 6 | 5% |
Biochemistry, Genetics and Molecular Biology | 4 | 3% |
Other | 9 | 8% |
Unknown | 33 | 28% |