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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Relationship between dietary patterns and risk factors for cardiovascular disease in patients with type 2 diabetes mellitus: a cross-sectional study
|
|---|---|
| Published in |
Nutrition Journal, February 2016
|
| DOI | 10.1186/s12937-016-0132-6 |
| Pubmed ID | |
| Authors |
Yusuke Osonoi, Tomoya Mita, Takeshi Osonoi, Miyoko Saito, Atsuko Tamasawa, Shiho Nakayama, Yuki Someya, Hidenori Ishida, Akio Kanazawa, Masahiko Gosho, Yoshio Fujitani, Hirotaka Watada |
| Abstract |
While some dietary patterns are associated with the incidence of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD), the relationship between dietary pattern and risk factors for CVD in patients with T2DM remains to be clarified. The aim of this study was to identify dietary patterns and investigate the relationship between dietary patterns and potential risk factors for CVD in patients with T2DM. The study participants comprised 726 Japanese T2DM outpatients free of history of CVD. Life styles were analyzed using self-reported questionnaires. The relationship between dietary patterns, identified by factor analysis, and potential risk factors for CVD was investigated by linear and logistic regression analyses. Six dietary patterns were identified by factor analysis. Especially, three dietary patterns were associated with risk factors for CVD. The "Seaweeds, Vegetables, Soy products and Mushrooms" pattern, characterized by high consumption of seaweeds, soy products and mushrooms, was associated with lower use of diabetes medication and healthier lifestyles. The "Noodle and Soup" pattern, characterized by high consumption of noodle and soup was associated with higher body mass index, alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transpeptidase and triglyceride levels. The "Fruit, Dairy products and Sweets" pattern was associated with lower γ-glutamyl transpeptidase levels, blood pressure, albuminuria and brachial-ankle pulse wave velocity. The findings suggested that dietary patterns correlated with risk factors for CVD in T2DM patients. |
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 % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 139 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 18% |
| Student > Ph. D. Student | 16 | 11% |
| Student > Bachelor | 16 | 11% |
| Researcher | 10 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 24 | 17% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 26% |
| Nursing and Health Professions | 22 | 16% |
| Agricultural and Biological Sciences | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 4% |
| Computer Science | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 46 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 December 2016.
All research outputs
#4,103,795
of 25,337,969 outputs
Outputs from Nutrition Journal
#729
of 1,512 outputs
Outputs of similar age
#67,171
of 409,653 outputs
Outputs of similar age from Nutrition Journal
#25
of 32 outputs
Altmetric has tracked 25,337,969 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one has gotten more attention than average, scoring higher than 51% 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 409,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.