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Relationships between sitting time and health indicators, costs, and utilization in older adults

Overview of attention for article published in Preventive Medicine Reports, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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37 X users

Citations

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23 Dimensions

Readers on

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56 Mendeley
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Title
Relationships between sitting time and health indicators, costs, and utilization in older adults
Published in
Preventive Medicine Reports, March 2015
DOI 10.1016/j.pmedr.2015.03.011
Pubmed ID
Authors

Dori Rosenberg, Andrea Cook, Nancy Gell, Paula Lozano, Lou Grothaus, David Arterburn

Abstract

To examine whether self-reported sitting time is related to various health indicators, health costs, and utilization in adults over age 65. A retrospective cross-sectional cohort study was conducted using the electronic health record (EHR) from an integrated health system in Washington State. Members who completed an online health risk assessment (HRA) between 2009 and 2011 (N = 3538) were eligible. The HRA assessed sitting time, physical activity, and health status. Diagnosis codes for diabetes and cardiovascular disease (CVD), height and weight for body mass index (BMI) calculations, health care utilization and health costs were extracted from the EHR. Linear regression models with robust standard errors tested differences in sitting time by health status, BMI category, diabetes and CVD, health costs, and utilization adjusting for demographic variables, BMI, physical activity, and health conditions. People classified as overweight and obese, that had diabetes or CVD, and with poorer self-rated health had significantly higher sitting time (p < .05). Total annual adjusted health care costs were $126 higher for each additional hour of sitting (p < .05; not significant in final models including health conditions). Sitting time may be an important independent health indicator among older adults.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 25%
Student > Ph. D. Student 8 14%
Researcher 6 11%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 8 14%
Unknown 12 21%
Readers by discipline Count As %
Sports and Recreations 10 18%
Nursing and Health Professions 8 14%
Medicine and Dentistry 7 13%
Economics, Econometrics and Finance 3 5%
Social Sciences 2 4%
Other 8 14%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 May 2015.
All research outputs
#1,511,560
of 25,399,318 outputs
Outputs from Preventive Medicine Reports
#198
of 1,709 outputs
Outputs of similar age
#19,092
of 278,137 outputs
Outputs of similar age from Preventive Medicine Reports
#4
of 33 outputs
Altmetric has tracked 25,399,318 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 88% 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 278,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.