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Do predictors of volunteering in older age differ by health status?

Overview of attention for article published in European Journal of Ageing, May 2016
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Do predictors of volunteering in older age differ by health status?
Published in
European Journal of Ageing, May 2016
DOI 10.1007/s10433-016-0377-0
Pubmed ID
Authors

Andrea Principi, Henrike Galenkamp, Roberta Papa, Marco Socci, Bianca Suanet, Andrea Schmidt, Katharine Schulmann, Stella Golinowska, Agnieszka Sowa, Amilcar Moreira, Dorly J. H. Deeg

Abstract

It has been widely recognised that poor health is one of the main barriers to participation in volunteer activities in older age. Therefore, it is crucial to examine the participation of older people in volunteering, especially those in poor health. Based on the resource theory of volunteering, the aim of this study is to better understand the correlates of volunteering among older people with different health statuses, namely those without health problems (neither multimorbidity nor disability), those with mild health problems (multimorbidity or disability), and those with severe health problems (multimorbidity and disability). Data were drawn from the fourth wave (2011-2012, release 1.1.1) of the Survey of Health, Ageing and Retirement in Europe, which includes European people aged 50 years or older. The results showed that variables linked to volunteering were generally similar regardless of health status, but some differences were nevertheless identified. For older people with mild or severe health problems, for instance, depressive symptoms were negatively associated with their involvement in volunteer activities. We found a positive association of being widowed (rather than married) with volunteering in older people with particularly poor health, whereas high income was associated with volunteering in the case of mild health problems only. These results demonstrate that variables associated with volunteer participation partially differ between older people depending on their health status. These differences should be considered by policy makers in their attempts to promote volunteering in older people, as a means of preventing their social exclusion.

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The data shown below were collected from the profiles of 3 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Student > Master 12 16%
Student > Doctoral Student 8 11%
Researcher 5 7%
Student > Bachelor 4 5%
Other 14 18%
Unknown 18 24%
Readers by discipline Count As %
Social Sciences 24 32%
Psychology 11 14%
Nursing and Health Professions 5 7%
Medicine and Dentistry 4 5%
Computer Science 2 3%
Other 10 13%
Unknown 20 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 May 2016.
All research outputs
#7,482,726
of 22,873,031 outputs
Outputs from European Journal of Ageing
#169
of 347 outputs
Outputs of similar age
#111,682
of 312,377 outputs
Outputs of similar age from European Journal of Ageing
#4
of 7 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 347 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 40th percentile – i.e., 40% 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 312,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.