You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The relationships between body composition characteristics and cognitive functioning in a population-based sample of older British men
|
|---|---|
| Published in |
BMC Geriatrics, December 2015
|
| DOI | 10.1186/s12877-015-0169-y |
| Pubmed ID | |
| Authors |
Efstathios Papachristou, Sheena E. Ramsay, Lucy T. Lennon, Olia Papacosta, Steve Iliffe, Peter H. Whincup, S. Goya Wannamethee |
| Abstract |
Current research has established obesity as one of the main modifiable risk factors for cognitive impairment. However, evidence on the relationships of total and regional body composition measures as well as sarcopenia with cognitive functioning in the older population remains inconsistent. Data are based on 1,570 participants from the British Regional Heart Study (BRHS), a cohort of older British men from 24 British towns initiated in 1978-80, who were re-examined in 2010-12, aged 71-92 years. Cognitive functioning was assessed with the Test-Your-Memory cognitive screening tool. Body composition characteristics assessed using bioelectrical impedance analysis included total fat mass (FM), central FM, peripheral FM, and visceral fat level. Sarcopenia was defined using the European Working Group on Sarcopenia in Older People (EWGSOP) definition of severe sarcopenia and the Foundation for the National Institutes of Health (FNIH) sarcopenia project criteria. Among 1,570 men, 636 (41 %) were classified in the mild cognitive impairment (MCI) and 133 (8 %) in the severe cognitive impairment (SCI) groups. Age-adjusted multinomial logistic regressions showed that compared with participants in the normal cognitive ageing group, those with SCI were more likely to have waist circumference >102 cm, BMI >30 kg/m(2), to be in the upper quintile of total FM, central FM, peripheral FM and visceral fat level and to be sarcopenic. The relationships remained significant for total FM (RR = 2.16, 95 % CI 1.29-3.63), central FM (RR = 1.85, 95 % CI 1.09-3.14), peripheral FM (RR = 2.67, 95 % CI 1.59-4.48), visceral fat level (RR = 2.28, 95 % CI 1.32-3.94), BMI (RR = 2.25, 95 % CI 1.36-3.72) and waist circumference (RR = 1.63, 95 % CI 1.05-2.55) after adjustments for alcohol, smoking, social class, physical activity and history of cardiovascular diseases or diabetes. After further adjustments for interleukin-6 and insulin resistance, central FM, waist circumference and sarcopenia were no longer significantly associated with SCI. Increased levels of peripheral FM, visceral fat level, and BMI are associated with SCI among older people. Distinct pathophysiological mechanisms link regional adipose tissue deposition and cognitive functioning. |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 3 | 38% |
| United States | 2 | 25% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 38% |
| Members of the public | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Libya | 1 | <1% |
| Netherlands | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 155 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 15% |
| Student > Master | 23 | 14% |
| Researcher | 16 | 10% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Postgraduate | 10 | 6% |
| Other | 26 | 16% |
| Unknown | 44 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 25% |
| Nursing and Health Professions | 17 | 11% |
| Psychology | 10 | 6% |
| Sports and Recreations | 8 | 5% |
| Neuroscience | 7 | 4% |
| Other | 23 | 14% |
| Unknown | 54 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 31 May 2016.
All research outputs
#7,345,736
of 23,881,329 outputs
Outputs from BMC Geriatrics
#1,771
of 3,241 outputs
Outputs of similar age
#113,209
of 394,565 outputs
Outputs of similar age from BMC Geriatrics
#33
of 60 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,241 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 44th percentile – i.e., 44% 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 394,565 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.