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Attention Score in Context
| Title |
The association of protein and carbohydrate intake with successful aging: a combined analysis of two epidemiological studies
|
|---|---|
| Published in |
European Journal of Nutrition, April 2018
|
| DOI | 10.1007/s00394-018-1693-2 |
| Pubmed ID | |
| Authors |
Alexandra Foscolou, Emmanuela Magriplis, Stefanos Tyrovolas, Christina Chrysohoou, Labros Sidossis, Antonia-Leda Matalas, Loukianos Rallidis, Demosthenes Panagiotakos |
| Abstract |
Previous studies have reported associations between levels of protein and carbohydrate intake with several health outcomes. Yet, their effect on successful (or healthy) aging remains unknown. The purpose of the present work was to investigate the association of protein and carbohydrate intake levels with successful aging. A cross-sectional analysis was carried out on the participants of two epidemiological studies; the ATTICA and the MEDIS studies. Anthropometrical, clinical and socio-demographic characteristics, dietary habits, and lifestyle parameters were derived through standard procedures. Successful aging was evaluated using a validated index (SAI) composed of 10 health-related social, lifestyle and clinical characteristics. SAI levels were lower in low protein-high carbohydrate diet group (B = - 0.08, p = 0.04), but higher in high protein-high carbohydrate group (B = 0.06, p = 0.04), as compared to low protein and low carbohydrate diet, in participants living in insular areas. Protein-carbohydrate diet was not associated with SAI (all p's > 0.05) among participants living in urban areas (p for diet-study interaction < 0.001). A high protein diet seems to be beneficial for older islanders in terms of successful aging; stating a hypothesis for a potential diet-environmental interaction that may be related to the quality of foods consumed and, consequently the sources of nutrients. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 6 | 12% |
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 21 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 7 | 14% |
| Medicine and Dentistry | 6 | 12% |
| Sports and Recreations | 3 | 6% |
| Psychology | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 26 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 April 2018.
All research outputs
#15,506,823
of 23,045,021 outputs
Outputs from European Journal of Nutrition
#1,734
of 2,410 outputs
Outputs of similar age
#208,098
of 326,560 outputs
Outputs of similar age from European Journal of Nutrition
#49
of 73 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 326,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.