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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes
|
|---|---|
| Published in |
BMC Public Health, September 2016
|
| DOI | 10.1186/s12889-016-3603-y |
| Pubmed ID | |
| Authors |
Samantha Hajna, Yan Kestens, Stella S. Daskalopoulou, Lawrence Joseph, Benoit Thierry, Mark Sherman, Luc Trudeau, Rémi Rabasa-Lhoret, Leslie Meissner, Simon L. Bacon, Lise Gauvin, Nancy A. Ross, Kaberi Dasgupta, Diabetes, GPS, and Walkablilty Study Group |
| Abstract |
Converging international evidence suggests that diabetes incidence is lower among adults living in more walkable neighbourhoods. The association between walkability and physical activity (PA), the presumed mediator of this relationship, has not been carefully examined in adults with type 2 diabetes. We investigated the associations of walkability with total PA occurring within home neighbourhoods and overall PA, irrespective of location. Participants (n = 97; 59.5 ± 10.5 years) were recruited through clinics in Montreal (QC, Canada) and wore a GPS-accelerometer device for 7 days. Total PA was expressed as the total Vector of the Dynamic Body Acceleration. PA location was determined using a Global Positioning System (GPS) device (SIRF IV chip). Walkability (street connectivity, land use mix, population density) was assessed using Geographical Information Systems software. The cross-sectional associations between walkability and location-based PA were estimated using robust linear regressions adjusted for age, body mass index, sex, university education, season, car access, residential self-selection, and wear-time. A one standard deviation (SD) increment in walkability was associated with 10.4 % of a SD increment in neighbourhood-based PA (95 % confidence interval (CI) 1.2, 19.7) - equivalent to 165 more steps/day (95 % 19, 312). Car access emerged as an important predictor of neighbourhood-based PA (Not having car access: 38.6 % of a SD increment in neighbourhood-based PA, 95 % CI 17.9, 59.3). Neither walkability nor car access were conclusively associated with overall PA. Higher neighbourhood walkability is associated with higher home neighbourhood-based PA but not with higher overall PA. Other factors will need to be leveraged to facilitate meaningful increases in overall PA among adults with type 2 diabetes. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Ireland | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 15% |
| Student > Master | 21 | 14% |
| Student > Ph. D. Student | 19 | 13% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 9 | 6% |
| Other | 22 | 15% |
| Unknown | 41 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 19% |
| Nursing and Health Professions | 19 | 13% |
| Social Sciences | 9 | 6% |
| Agricultural and Biological Sciences | 5 | 3% |
| Computer Science | 5 | 3% |
| Other | 31 | 21% |
| Unknown | 52 | 35% |
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 02 October 2016.
All research outputs
#8,174,179
of 25,935,829 outputs
Outputs from BMC Public Health
#9,082
of 17,941 outputs
Outputs of similar age
#114,895
of 342,064 outputs
Outputs of similar age from BMC Public Health
#200
of 384 outputs
Altmetric has tracked 25,935,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 17,941 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 48th percentile – i.e., 48% 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 342,064 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 65% of its contemporaries.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.