| Title |
Diet/lifestyle and risk of diabetes and glycemic traits: a Mendelian randomization study
|
|---|---|
| Published in |
Lipids in Health and Disease, January 2018
|
| DOI | 10.1186/s12944-018-0666-z |
| Pubmed ID | |
| Authors |
Renyu Ding, Tao Huang, Jiali Han |
| Abstract |
Observational studies have demonstrated diet/lifestyle play roles in development of type 2 diabetes (T2DM); however, it remains unclear whether these relationships are causal. A two-sample MR approach was used to examine the causal effect of diet/lifestyle upon risk of T2DM and glycemic traits. The protein intake-increasing allele C of FTO was significant associated with higher risk of T2DM (Beta ± SE = 0.104 ± 0.014, P = 4.40 × 10- 11), higher level of HOMA-IR (Beta ± SE = 0.016 ± 0.004, P = 9.55 × 10- 5), HOMA-B (Beta ± SE = 0.008 ± 0.003, P = 0.020). Using MR analyses, increased protein intake was causally associated with an increased risk of T2DM (Beta ± SE = 0.806 ± 0.260, P = 0.002). In addition, smoking cessation was causally associated with increased levels of glycemic traits such as HOMA-IR (Beta ± SE = 0.165 ± 0.072, P = 0.021), fasting insulin (Beta ± SE = 0.132 ± 0.066, P = 0.047) and fasting glucose (Beta ± SE = 0.132 ± 0.064, P = 0.039). These results provide evidence supporting a causal role for higher protein intake and smoking cession in T2DM. Our study provides further rationale for individuals at risk for diabetes to keep healthy lifestyle. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Argentina | 1 | 6% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Denmark | 1 | 6% |
| Netherlands | 1 | 6% |
| Germany | 1 | 6% |
| Canada | 1 | 6% |
| Finland | 1 | 6% |
| United Kingdom | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 6 | 33% |
| Practitioners (doctors, other healthcare professionals) | 4 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Student > Bachelor | 6 | 13% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 17 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 24% |
| Nursing and Health Professions | 6 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Mathematics | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 19 | 42% |
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 13 October 2022.
All research outputs
#3,423,177
of 24,871,735 outputs
Outputs from Lipids in Health and Disease
#249
of 1,572 outputs
Outputs of similar age
#74,938
of 452,658 outputs
Outputs of similar age from Lipids in Health and Disease
#5
of 30 outputs
Altmetric has tracked 24,871,735 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,572 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done well, scoring higher than 84% 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 452,658 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 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.