↓ Skip to main content

Quality of life and related factors of nursing home residents in Singapore

Overview of attention for article published in Health and Quality of Life Outcomes, July 2016
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
147 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Quality of life and related factors of nursing home residents in Singapore
Published in
Health and Quality of Life Outcomes, July 2016
DOI 10.1186/s12955-016-0503-x
Pubmed ID
Authors

Pei Wang, Philip Yap, Gerald Koh, Jia An Chong, Lucy Jennifer Davies, Mayank Dalakoti, Ngan Phoon Fong, Wei Wei Tiong, Nan Luo

Abstract

Litter is known about the well-being of nursing home (NH) residents in Singapore. This study aimed to identify predictors of self-reported quality of life (QOL) of NH residents in Singapore. In face-to-face interviews, trained medical students assessed each consenting resident recruited from 6 local NHs using a modified Minnesota QOL questionnaire, and rating scales and questions assessing independence, cognitive function, depression, and communication. Predictors of residents' QOL in five aspects (comfort, dignity, food enjoyment, autonomy, and security) were identified using the censored least absolute deviations (CLAD) models. A total of 375 residents completed the interviews. A higher score on comfort was negatively associated with major depression while a higher score on dignity was positively associated with no difficulty in communication with staff. Higher scores in food enjoyment were negatively associated with major depression and poorer cognitive function. Higher scores in autonomy were negatively associated with major depression, greater dependence, and difficulty in communication with staff. A higher score on security were negatively associated with major depression. It appears that depression and difficulty in communication with staff are the two main modifiable risk factors of poor quality of life of local NH residents.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 16%
Student > Bachelor 20 14%
Researcher 9 6%
Student > Postgraduate 8 5%
Lecturer 7 5%
Other 29 20%
Unknown 51 35%
Readers by discipline Count As %
Nursing and Health Professions 36 24%
Medicine and Dentistry 20 14%
Social Sciences 10 7%
Psychology 10 7%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 12 8%
Unknown 55 37%
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 28 July 2016.
All research outputs
#18,466,751
of 22,881,964 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,160 outputs
Outputs of similar age
#282,201
of 365,664 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#26
of 38 outputs
Altmetric has tracked 22,881,964 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.
So far Altmetric has tracked 2,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 365,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.