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Frailty transitions and types of death in Chinese older adults: a population-based cohort study

Overview of attention for article published in Clinical Interventions in Aging, May 2018
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Frailty transitions and types of death in Chinese older adults: a population-based cohort study
Published in
Clinical Interventions in Aging, May 2018
DOI 10.2147/cia.s157089
Pubmed ID
Authors

Zu-yun Liu, Yin-zhi Wei, Li-qing Wei, Xiao-yan Jiang, Xiao-feng Wang, Yan Shi, Hua Hai

Abstract

Little is known about the adverse effects of frailty transitions. In this study, we aimed to characterize the transitions between frailty states and examine their associations with the type of death among older adults in China, a developing country with a rapidly growing aging population. We used data of 11,165 older adults (aged 65-99 years) from the 2002 and 2005 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Overall, 44 health deficits were used to construct frailty index (FI; range: 0-1), which was then categorized into a three-level variable: nonfrail (FI ≤0.10), prefrail (0.10< FI ≤0.21), and frail (FI >0.21). Outcome was four types of death based on bedridden days and suffering state (assessed in the 2008 wave of CLHLS). During the 3-year period, 3,394 (30.4%) participants had transitioned between different frailty states (nonfrail, prefrail, and frail), one-third transitioned to death, and one-third remained in previous frailty states. Transitions to greater frailty (ie, "worsening") were more common than transitions to lesser frailty (ie, "improvement"). Among four categories of frailty transitions, "worsening" and "remaining frail" had increased risks of painful death, eg, with odds ratios of 1.92 (95% confidence interval [CI] =1.41, 2.62) and 4.75 (95% CI =3.32, 6.80), respectively, for type 4 death (ie, ≥30 bedridden days with suffering before death). This large sample of older adults in China supports that frailty is a dynamic process, characterized by frequent types of transitions. Furthermore, those who remained frail had the highest likelihood of experiencing painful death, which raises concerns about the quality of life in frail populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 12%
Researcher 9 12%
Student > Master 7 9%
Student > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 15 20%
Unknown 26 34%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Nursing and Health Professions 11 14%
Economics, Econometrics and Finance 4 5%
Social Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 12%
Unknown 30 39%
Attention Score in Context

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 30 May 2018.
All research outputs
#2,807,557
of 25,382,440 outputs
Outputs from Clinical Interventions in Aging
#295
of 1,968 outputs
Outputs of similar age
#56,275
of 339,234 outputs
Outputs of similar age from Clinical Interventions in Aging
#12
of 47 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 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 85% 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 339,234 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 83% of its contemporaries.
We're also able to compare this research output to 47 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 74% of its contemporaries.