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Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals

Overview of attention for article published in PLOS ONE, August 2017
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Title
Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals
Published in
PLOS ONE, August 2017
DOI 10.1371/journal.pone.0182873
Pubmed ID
Authors

Chris B. Guure, Noor Akma Ibrahim, Mohd Bakri Adam, Salmiah Md Said

Abstract

Modified Mini-Mental State Examination (3MS) is an instrument administered by trained personnel to examine levels of participants' cognitive function. However, the association between changes in scores over time and the risk of death (mortality) is not known. The aims of this study are to examine the association between 3MS scores and mortality via cognitive impairment among older women and to determine individuals' risk of changes in scores to better predict their survival and mortality rates. We propose a Bayesian joint modelling approach to determine mortality due to cognitive impairment via repeated measures of 3MS scores trajectories over a 21-year follow-up period. Data for this study are taken from the Osteoporotic Fracture longitudinal study among women aged 65+ which started in 1986-88. The standard relative risk model from the analyses with a baseline 3MS score after adjusting for all the significant covariates demonstrates that, every unit decrease in a 3MS score corresponds to a non-significant 1.059 increase risk of mortality with a 95% CI of (0.981, 1.143), while the extended model results in a significant 0.09% increased risk in mortality. The joint modelling approach found a strong association between the 3MS scores and the risk of mortality, such that, every unit decrease in 3MS scores results in a 1.135 (13%) increased risk of death via cognitive impairment with a 95% CI of (1.056, 1.215). It has been demonstrated that a decrease in 3MS results has a significant increase risk of mortality due to cognitive impairment via joint modelling, but insignificant when considered under the standard relative risk approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 16%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Postgraduate 3 9%
Other 1 3%
Other 5 16%
Unknown 10 31%
Readers by discipline Count As %
Medicine and Dentistry 7 22%
Nursing and Health Professions 4 13%
Psychology 2 6%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 5 16%
Unknown 11 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 August 2017.
All research outputs
#18,567,744
of 22,997,544 outputs
Outputs from PLOS ONE
#156,236
of 196,050 outputs
Outputs of similar age
#221,353
of 287,821 outputs
Outputs of similar age from PLOS ONE
#3,149
of 4,038 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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