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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cross-sectional cluster analysis of the combined association of physical activity and sleep with sociodemographic and health characteristics in mid-aged and older adults
|
|---|---|
| Published in |
Maturitas, May 2017
|
| DOI | 10.1016/j.maturitas.2017.05.013 |
| Pubmed ID | |
| Authors |
Anna T. Rayward, Mitch J. Duncan, Wendy J. Brown, Ronald C. Plotnikoff, Nicola W. Burton |
| Abstract |
This study aimed to identify how different patterns of physical activity, sleep duration and sleep quality cluster together, and to examine how the identified clusters differ in terms of socio-demographic and health characteristics. Participants were adults from Brisbane, Australia, aged 42-72 years who reported their physical activity, sleep duration, sleep quality, socio-demographic and health characteristics in 2011 (n=5854). Two-step Cluster Analyses were used to identify clusters. Cluster differences in socio-demographic and health characteristics were examined using chi square tests (p<0.05). Four clusters were identified: 'Poor Sleepers' (31.2%), 'Moderate Sleepers' (30.7%), 'Mixed Sleepers/Highly Active' (20.5%), and 'Excellent Sleepers/Mixed Activity' (17.6%). The 'Poor Sleepers' cluster had the highest proportion of participants with less-than-recommended sleep duration and poor sleep quality, had the poorest health characteristics and a high proportion of participants with low physical activity. Physical activity, sleep duration and sleep quality cluster together in distinct patterns and clusters of poor behaviours are associated with poor health status. Multiple health behaviour change interventions which target both physical activity and sleep should be prioritised to improve health outcomes in mid-aged adults. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 11 | 55% |
| Czechia | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 7 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 7 | 35% |
| Scientists | 6 | 30% |
| Members of the public | 6 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 10 | 14% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Professor | 5 | 7% |
| Other | 11 | 16% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 14 | 20% |
| Medicine and Dentistry | 10 | 14% |
| Nursing and Health Professions | 5 | 7% |
| Social Sciences | 5 | 7% |
| Psychology | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 26 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 29 July 2017.
All research outputs
#2,746,784
of 25,382,440 outputs
Outputs from Maturitas
#448
of 2,810 outputs
Outputs of similar age
#49,117
of 325,228 outputs
Outputs of similar age from Maturitas
#16
of 58 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,810 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 83% 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 325,228 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 84% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.