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Diurnal patterns of objectively measured physical activity and sedentary behaviour in older men

Overview of attention for article published in BMC Public Health, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Diurnal patterns of objectively measured physical activity and sedentary behaviour in older men
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-1976-y
Pubmed ID
Authors

Claudio Sartini, S. Goya Wannamethee, Steve Iliffe, Richard W. Morris, Sarah Ash, Lucy Lennon, Peter H. Whincup, Barbara J. Jefferis

Abstract

Physical activity (PA) levels among older adults are generally low and sedentary behaviour (SB) very common; increasing PA and reducing SB levels could have appreciable health benefits. Quantifying PA and SB patterns through the day could help in defining strategies for change. We examined within day variations in PA and SB and whether these varied by demographic factors and health status. Men aged 71-91 years participating in an established UK population-based cohort study were invited to wear a GT3x Actigraph accelerometer over the hip for one week in 2010-12. Percentages of time spent in sedentary (SB, <100 counts per minute [CPM]); in light (LIPA, 100-1040 CPM) and in moderate to vigorous PA (MVPA, >1040 CPM) were derived. Multilevel models were used to estimate the associations between demographic factors and health status and SB, LIPA and MVPA. 1455 of 3137 men invited (46.4 %) participated and provided adequate data. Men spent 73 % of the day in SB, 23 % in LIPA and 4.5 % in MVPA (619, 197 and 39 min per day respectively). The percentage of time spent in MVPA was highest in the morning, peaking at 10-11 am (8.4 %), and then declining until the evening, with the exception of a small increase at 2-3 pm. LIPA followed a similar pattern. Conversely, SB levels were lowest in the morning and increased throughout the day, peaking at 9 pm (88 %). Men who were older, did not use active transport, had mobility limitations, were obese, depressed, had more chronic health conditions, and were smokers had lower levels of MVPA. The impacts of older age, obesity, mobility limitations and chronic diseases on LIPA, MVPA and SB were more marked in the morning than in the afternoon and evening. Levels of MVPA and LIPA are highest in the morning (peak at 10-11 am) and decrease during the day. SB increases through the course of the day to peak in the evening. Interventions to encourage older men to be physically active may need to take account of current PA patterns, aiming to prolong active morning bouts of PA and/or reducing SB in the afternoon and evening hours.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
United Kingdom 2 1%
Brazil 1 <1%
Unknown 148 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 22%
Student > Master 26 17%
Researcher 22 14%
Student > Bachelor 10 7%
Professor 8 5%
Other 23 15%
Unknown 31 20%
Readers by discipline Count As %
Medicine and Dentistry 38 25%
Sports and Recreations 17 11%
Nursing and Health Professions 13 8%
Social Sciences 11 7%
Psychology 7 5%
Other 25 16%
Unknown 42 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 December 2023.
All research outputs
#3,692,143
of 25,030,708 outputs
Outputs from BMC Public Health
#4,373
of 16,694 outputs
Outputs of similar age
#45,559
of 268,311 outputs
Outputs of similar age from BMC Public Health
#61
of 247 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 73% 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 268,311 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 82% of its contemporaries.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.