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Feeling good in old age: factors explaining health-related quality of life

Overview of attention for article published in Health and Quality of Life Outcomes, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

1 blog
13 tweeters
1 Facebook page
1 Google+ user
1 Redditor


15 Dimensions

Readers on

95 Mendeley
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Feeling good in old age: factors explaining health-related quality of life
Published in
Health and Quality of Life Outcomes, March 2018
DOI 10.1186/s12955-018-0877-z
Pubmed ID

Manuela Alcañiz, Aïda Solé-Auró


Sustained growth in longevity raises questions as to why some individuals report a good quality of life in older ages, while others seem to suffer more markedly the effects of natural deterioration. Health-related quality of life (HRQL) is mediated by several easily measurable factors, including socio-demographics, morbidity, functional status and lifestyles. This study seeks to further our knowledge of these factors in order to outline a profile of the population at greater risk of poor ageing, and to identify those attributes that might be modified during younger stages of the life course. We use nationally representative data for Catalonia (Spain) to explain the HRQL of the population aged 80-plus. Cross-sectional data from 2011 to 2016 were provided by an official face-to-face survey. HRQL was measured using EQ-VAS - the EuroQol-5D visual analogue scale - which summarizes current self-perceived health. Multivariate linear regression was used to identify variables influencing the EQ-VAS score. Sociodemographic factors, including being older, female, poorly educated and belonging to a low social class, were related with poor HRQL at advanced ages. The presence of severe mobility problems, pain/discomfort, and anxiety/depression were highly correlated to the HRQL of the elderly, while problems of self-care and with usual activities had a weaker association. Encouraging the young to stay in education, as well as to adopt healthier lifestyles across the lifespan, might ensure better HRQL when individuals reach old age. More multidisciplinary research is required to understand the multifaceted nature of quality of life in the oldest-old population.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Student > Doctoral Student 10 11%
Student > Bachelor 10 11%
Researcher 8 8%
Student > Ph. D. Student 8 8%
Other 13 14%
Unknown 32 34%
Readers by discipline Count As %
Medicine and Dentistry 17 18%
Psychology 13 14%
Nursing and Health Professions 11 12%
Social Sciences 7 7%
Sports and Recreations 2 2%
Other 8 8%
Unknown 37 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 June 2018.
All research outputs
of 18,775,194 outputs
Outputs from Health and Quality of Life Outcomes
of 1,990 outputs
Outputs of similar age
of 290,080 outputs
Outputs of similar age from Health and Quality of Life Outcomes
of 1 outputs
Altmetric has tracked 18,775,194 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,990 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 96% 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 290,080 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them