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Patterns of sitting and mortality in the Nord-Trøndelag health study (HUNT)

Overview of attention for article published in International Journal of Behavioral Nutrition and Physical Activity, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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6 news outlets
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13 X users

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Title
Patterns of sitting and mortality in the Nord-Trøndelag health study (HUNT)
Published in
International Journal of Behavioral Nutrition and Physical Activity, January 2017
DOI 10.1186/s12966-016-0457-8
Pubmed ID
Authors

Anne C. Grunseit, Josephine Y. Chau, Vegar Rangul, Turid Lingaas Holmen, Adrian Bauman

Abstract

Current evidence concerning sedentary behaviour and mortality risk has used single time point assessments of sitting. Little is known about how changes in sitting levels over time affect subsequent mortality risk. To examine the associations between patterns of sitting time assessed at two time points 11 years apart and risk of all-cause and cardio-metabolic disease mortality. Participants were 25,651 adults aged > =20 years old from the Nord-Trøndelag Health Study with self-reported total sitting time in 1995-1997 (HUNT2) and 2006-2008 (HUNT3). Four categories characterised patterns of sitting: (1) low at HUNT2/ low at HUNT3, 'consistently low sitting'; (2) low at HUNT2/high at HUNT3, 'increased sitting'; (3) high at HUNT2/low at HUNT3, 'reduced sitting'; and (4) high at HUNT2 /high at HUNT3, 'consistently high sitting'. Associations of sitting pattern with all-cause and cardio-metabolic disease mortality were analysed using Cox regression adjusted for confounders. Mean follow-up was 6.2 years (158880 person-years); 1212 participants died. Compared to 'consistently low sitting', adjusted hazard ratios for all-cause mortality were 1.51 (95% CI: 1.28-2.78), 1.03 (95% CI: 0.88-1.20), and 1.26 (95% CI: 1.06-1.51) for 'increased sitting', 'reduced sitting' and 'consistently high sitting' respectively. Examining patterns of sitting over time augments single time-point analyses of risk exposures associated with high sitting time. Whilst sitting habits can be stable over a long period, life events (e.g., changing jobs, retiring or illness) may influence sitting trajectories and therefore sitting-attributable risk. Reducing sitting may yield mortality risks comparable to a stable low-sitting pattern.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 15%
Student > Bachelor 5 11%
Student > Master 5 11%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 16 34%
Readers by discipline Count As %
Medicine and Dentistry 9 19%
Nursing and Health Professions 8 17%
Sports and Recreations 5 11%
Psychology 3 6%
Unspecified 1 2%
Other 2 4%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 30 January 2019.
All research outputs
#605,766
of 22,947,506 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#196
of 1,937 outputs
Outputs of similar age
#14,726
of 418,939 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#5
of 32 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.7. This one has done well, scoring higher than 89% 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 418,939 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 96% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.